Indeed, the single most powerful pattern I have noticed is that successful people find value in unexpected places, and they do this by thinking about business from first principles instead of formulas.
Without technological change, if China doubles its energy production over the next two decades, it will also double its air pollution. If every one of India’s hundreds of millions of households were to live the way Americans already do—using only today’s tools—the result would be environmentally catastrophic. Spreading old ways to create wealth around the world will result in devastation, not riches. In a world of scarce resources, globalization without new technology is unsustainable.
The same logic applies to knowledge work: the proliferation of analysis and information without genuinely new technology for synthesis will continue entrenching existing gatekeepers. Globalization of knowledge without new tools for organizing it is unsustainable in the same way that globalization without new energy technology is unsustainable. pkmIn the most dysfunctional organizations, signaling that work is being done becomes a better strategy for career advancement than actually doing work (if this describes your company, you should quit now).
Startups operate on the principle that you need to work with other people to get stuff done, but you also need to stay small enough so that you actually can. Positively defined, a startup is the largest group of people you can convince of a plan to build a different future.
This book is about the questions you must ask and answer to succeed in the business of doing new things: what follows is not a manual or a record of knowledge but an exercise in thinking.
Improve on the competition Don’t try to create a new market prematurely. The only way to know you have a real business is to start with an already existing customer, so you should build your company by improving on recognizable products already offered by successful competitors.
Recognizable products doesn’t mean a new or more modular way of thinking — it means solving their problems, better. pmfThat doesn’t mean the opposite ideas are automatically true: you can’t escape the madness of crowds by dogmatically rejecting them. Instead ask yourself: how much of what you know about business is shaped by mistaken reactions to past mistakes? The most contrarian thing of all is not to oppose the crowd but to think for yourself.
Creating value is not enough—you also need to capture some of the value you create.
Framing itself as just another tech company allows Google to escape all sorts of unwanted attention.
Entrepreneurs are always biased to understate the scale of competition, but that is the biggest mistake a startup can make. The fatal temptation is to describe your market extremely narrowly so that you dominate it by definition.
If you lose sight of competitive reality and focus on trivial differentiating factors—maybe you think your naan is superior because of your great-grandmother’s recipe—your business is unlikely to survive.
The competitive reality for pkm is that everyone’s workflow is differentiated and they think it works well for them but then evaps when they change it. Everyone has a grandmas recipe. How does this flip into competition?the history of progress is a history of better monopoly businesses replacing incumbents.
All happy companies are different: each one earns a monopoly by solving a unique problem. All failed companies are the same: they failed to escape competition.
It’s hard to say how much would be different, but the opportunity costs were enormous. All Rhodes Scholars had a great future in their past.
Inside a firm, people become obsessed with their competitors for career advancement. Then the firms themselves become obsessed with their competitors in the marketplace. Amid all the human drama, people lose sight of what matters and focus on their rivals instead.
But a great business is defined by its ability to generate cash flows in the future. Investors expect Twitter will be able to capture monopoly profits over the next decade, while newspapers’ monopoly days are over.
The overwhelming importance of future profits is counterintuitive even in Silicon Valley. For a company to be valuable it must grow and endure, but many entrepreneurs focus only on short-term growth. They have an excuse: growth is easy to measure, but durability isn’t. Those who succumb to measurement mania obsess about weekly active user statistics, monthly revenue targets, and quarterly earnings reports. However, you can hit those numbers and still overlook deeper, harder-to-measure problems that threaten the durability of your business.
If you focus on near-term growth above all else, you miss the most important question you should be asking: will this business still be around a decade from now? Numbers alone won’t tell you the answer; instead you must think critically about the qualitative characteristics of your business.
As a good rule of thumb, proprietary technology must be at least 10 times better than its closest substitute in some important dimension to lead to a real monopolistic advantage.
You can also make a 10x improvement through superior integrated design.
Or what if you made the barrier to entry so liquid that you were 10x easier to adopt, but also copy? Would you convince people that you could be 10x better by lowering the threshold to being a services business? pmfNetwork effects can be powerful, but you’ll never reap them unless your product is valuable to its very first users when the network is necessarily small.
After more than three decades of futile effort, Xanadu folded just as the web was becoming commonplace. Their technology probably would have worked at scale, but it could have worked only at scale: it required every computer to join the network at the same time, and that was never going to happen.
So this is true of ai-ux as well — if you make something to be flexible for large scale of use cases but make it hard to adopt for the initial oneMany have tried to learn from Apple’s success: paid advertising, branded stores, luxurious materials, playful keynote speeches, high prices, and even minimalist design are all susceptible to imitation. But these techniques for polishing the surface don’t work without a strong underlying substance. Apple has a complex suite of proprietary technologies,
The perfect target market for a startup is a small group of particular people concentrated together and served by few or no competitors.
Once you create and dominate a niche market, then you should gradually expand into related and slightly broader markets. Amazon shows how it can be done. Jeff Bezos’s founding vision was to dominate all of online retail, but he very deliberately started with books. There were millions of books to catalog, but they all had roughly the same shape, they were easy to ship, and some of the most rarely sold books—those
eBay also started by dominating small niche markets. When it launched its auction marketplace in 1995, it didn’t need the whole world to adopt it at once; the product worked well for intense interest groups, like Beanie Baby obsessives.
it’s easy to become unduly fixated on the obstacles in your path. But if you truly want to make something new, the act of creation is far more important than the old industries that might not like what you create. Indeed, if your company can be summed up by its opposition to already existing firms, it can’t be completely new and it’s probably not going to become a monopoly.
The overall dynamic was net positive, unlike Napster’s negative-sum struggle with the U.S. recording industry. As you craft a plan to expand to adjacent markets, don’t disrupt: avoid competition as much as possible.
moving first is a tactic, not a goal. What really matters is generating cash flows in the future, so being the first mover doesn’t do you any good if someone else comes along and unseats you. It’s much better to be the last mover—that is, to make the last great development in a specific market and enjoy years or even decades of monopoly profits. The way to do that is to dominate a small niche and scale up from there, toward your ambitious long-term vision. In this one particular at least, business is like chess. Grandmaster José Raúl Capablanca put it well: to succeed, “you must study the endgame before everything else.”
definite view, by contrast, favors firm convictions. Instead of pursuing many-sided mediocrity and calling it “well-roundedness,” a definite person determines the one best thing to do and then does it. Instead of working tirelessly to make herself indistinguishable, she strives to be great at something substantive—to be a monopoly of one.
Europeans just react to events as they happen and hope things don’t get worse. The indefinite pessimist can’t know whether the inevitable decline will be fast or slow, catastrophic or gradual. All he can do is wait for it to happen, so he might as well eat, drink, and be merry in the meantime: hence Europe’s famous vacation mania.
The Chinese public, too, knows that winter is coming. Outsiders are fascinated by the great fortunes being made inside China, but they pay less attention to the wealthy Chinese trying hard to get their money out of the country. Poorer Chinese just save everything they can and hope it will be enough. Every class of people in China takes the future deadly seriously.
It’s no surprise that these fields all attract disproportionate numbers of high-achieving Ivy League optionality chasers; what could be a more appropriate reward for two decades of résumé-building than a seemingly elite, process-oriented career that promises to “keep options open”?
The strange history of the Baby Boom produced a generation of indefinite optimists so used to effortless progress that they feel entitled to it. Whether you were born in 1945 or 1950 or 1955, things got better every year for the first 18 years of your life, and it had nothing to do with you. Technological advance seemed to accelerate automatically, so the Boomers grew up with great expectations but few specific plans for how to fulfill them.
At no point does anyone in the chain know what to do with money in the real economy. But in an indefinite world, people actually prefer unlimited optionality; money is more valuable than anything you could possibly do with it. Only in a definite future is money a means to an end, not the end itself.
Nate Silver’s election predictions are remarkably accurate, but even more remarkable is how big a story they become every four years. We are more fascinated today by statistical predictions of what the country will be thinking in a few weeks’ time than by visionary predictions of what the country will look like 10 or 20 years from now.
(Remember Marx and Engels’s encomium to the technological triumphs of capitalism from this page.) These thinkers expected material advances to fundamentally change human life for the better: they were definite optimists.
Marx’s definite philosophy treated money as a means to an end, which led to a definite plan for systemic redistribution. The limiting factor has always been execution at scale — definite optimism requires not just vision but the institutional capacity to carry it through. The same logic applies to knowledge systems: definite tagging — choosing what to mark as significant — is an act of predicting what will be worth synthesizing in the future. pkmToday, we exaggerate the differences between left-liberal egalitarianism and libertarian individualism because almost everyone shares their common indefinite attitude. In philosophy, politics, and business, too, arguing over process has become a way to endlessly defer making concrete plans for a better future.
But what if it were less about the patterns we could extract for the present and more to the effect of what we could intend to be reasoned through in some future, but left the actual reasoning to something with less human identity politics, like an ai? ecology-of-technology pkmEven in engineering-driven Silicon Valley, the buzzwords of the moment call for building a “lean startup” that can “adapt” and “evolve” to an ever-changing environment. Would-be entrepreneurs are told that nothing can be known in advance: we’re supposed to listen to what customers say they want, make nothing more than a “minimum viable product,” and iterate our way to success. But leanness is a methodology, not a goal. Making small changes to things that already exist might lead you to a local maximum, but it won’t help you find the global maximum. You could build the best version of an app that lets people order toilet paper from their iPhone. But iteration without a bold plan won’t take you from 0 to 1. A company is the strangest place of all for an indefinite optimist: why should you expect your own business to succeed without a plan to make it happen? Darwinism may be a fine theory in other contexts, but in startups, intelligent design works best.
The “lean startup” methodology assumes that nothing can be known in advance and that iteration is the path to truth — a kind of Darwinism applied to business. But inspiration and breakthrough often exist outside data-driven process. Intelligent design in startups means having a definite vision that accounts for what iteration alone cannot reach: the moments of insight that no feedback loop would generate on its own. entrepreneurshipWhen a big company makes an offer to acquire a successful startup, it almost always offers too much or too little: founders only sell when they have no more concrete visions for the company, in which case the acquirer probably overpaid; definite founders with robust plans don’t sell, which means the offer wasn’t high enough.
MONEY MAKES MONEY. “For whoever has will be given more, and they will have an abundance. Whoever does not have, even what they have will be taken from them” (Matthew 25:29).
Every university believes in “excellence,” and hundred-page course catalogs arranged alphabetically according to arbitrary departments of knowledge seem designed to reassure you that “it doesn’t matter what you do, as long as you do it well.” That is completely false. It does matter what you do. You should focus relentlessly on something you’re good at doing, but before that you must think hard about whether it will be valuable in the future.
Time and decision-making themselves follow a power law, and some moments matter far more than others—see Chapter 9. However, you can’t trust a world that denies the power law to accurately frame your decisions for you, so what’s most important is rarely obvious. It might even be secret. But in a power law world, you can’t afford not to think hard about where your actions will fall on the curve.
Kaczynski’s methods were crazy, but his loss of faith in the technological frontier is all around us. Consider the trivial but revealing hallmarks of urban hipsterdom: faux vintage photography, the handlebar mustache, and vinyl record players all hark back to an earlier time when people were still optimistic about the future. If everything worth doing has already been done, you may as well feign an allergy to achievement and become a barista.
Craft is sometimes evidence of callings that have no monetary value — things people were made to do regardless of whether the market rewards them. Thiel frames hipsterdom as nostalgia, but what if familiar mediums persist not out of pessimism but because they remain the best tools for expressing what people actually understand and sense? The question is whether optimism must always be measured in capital terms, or whether craft itself constitutes a form of forward motion. craftIt’s easy to assume that natural secrets are the most important: the people who look for them can sound intimidatingly authoritative. This is why physics PhDs are notoriously difficult to work with—because they know the most fundamental truths, they think they know all truths. But does understanding electromagnetic theory automatically make you a great marriage counselor?
Nutrition matters for everybody, but you can’t major in it at Harvard. Most top scientists go into other fields. Most of the big studies were done 30 or 40 years ago, and most are seriously flawed. The food pyramid that told us to eat low fat and enormous amounts of grains was probably more a product of lobbying by Big Food than real science; its chief impact has been to aggravate our obesity epidemic.
The few who knew what might be learned, Foolish enough to put their whole heart on show, And reveal their feelings to the crowd below, Mankind has always crucified and burned.
stops. If you get the founding moment right, you can do more than create a valuable company: you can steer its distant future toward the creation of new things instead of the stewardship of inherited success.
You’ll attract the employees you need if you can explain why your mission is compelling: not why it’s important in general, but why you’re doing something important that no one else is going to get done. That’s the only thing that can make its importance unique.
The stark differences between man and machine mean that gains from working with computers are much higher than gains from trade with other people. We don’t trade with computers any more than we trade with livestock or lamps. And that’s the point: computers are tools, not rivals.
We have let ourselves become enchanted by big data only because we exoticize technology. We’re impressed with small feats accomplished by computers alone, but we ignore big achievements from complementarity because the human contribution makes them less uncanny. Watson, Deep Blue, and ever-better machine learning algorithms are cool. But the most valuable companies in the future won’t ask what problems can be solved with computers alone. Instead, they’ll ask: how can computers help humans solve hard problems?
The ambiguity between social and financial goals doesn’t help. But the ambiguity in the word “social” is even more of a problem: if something is “socially good,” is it good for society, or merely seen as good by society?
Doing something different is what’s truly good for society—and it’s also what allows a business to profit by monopolizing a new market. The best projects are likely to be overlooked, not trumpeted by a crowd; the best problems to work on are often the ones nobody else even tries to solve.
In some ways, Steve Jobs and Bill Gates were opposites. Jobs was an artist, preferred closed systems, and spent his time thinking about great products above all else; Gates was a businessman, kept his products open, and wanted to run the world.
