Essays
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- Programming Bottom-Up - Страница 1
- Lisp for Web-Based Applications - Страница 3
- Beating the Averages - Страница 6
- Java's Cover - Страница 12
- Being Popular - Страница 14
- Five Questions about Language Design - Страница 24
- The Roots of Lisp - Страница 28
- The Other Road Ahead - Страница 29
- What Made Lisp Different - Страница 44
- Why Arc Isn't Especially Object-Oriented - Страница 45
- Taste for Makers - Страница 46
- What Languages Fix - Страница 52
- Succinctness is Power - Страница 53
- Revenge of the Nerds - Страница 57
- A Plan for Spam - Страница 65
- Design and Research - Страница 72
- Better Bayesian Filtering - Страница 76
- Why Nerds are Unpopular - Страница 82
- The Hundred-Year Language - Страница 90
- If Lisp is So Great - Страница 97
- Hackers and Painters - Страница 98
- Filters that Fight Back - Страница 105
- What You Can't Say - Страница 107
- The Word "Hacker" - Страница 114
- The Python Paradox - Страница 117
- Great Hackers - Страница 118
- The Age of the Essay - Страница 125
- What the Bubble Got Right - Страница 131
- Bradley's Ghost - Страница 136
- Made in USA - Страница 137
- What You'll Wish You'd Known - Страница 140
- How to Start a Startup - Страница 147
- A Unified Theory of VC Suckagepad - Страница 159
- Undergraduation - Страница 161
- Writing, Briefly - Страница 166
- Return of the Mac - Страница 167
- Why Smart People Have Bad Ideas - Страница 169
- The Submarine - Страница 173
- Hiring is Obsolete - Страница 177
- What Business Can Learn from Open Source - Страница 183
- After the Ladder - Страница 189
- Inequality and Risk - Страница 190
- What I Did this Summer - Страница 194
- Ideas for Startups - Страница 198
- The Venture Capital Squeeze - Страница 203
- How to Fund a Startup - Страница 205
- Web 2.0 - Страница 217
- How to Make Wealth - Страница 222
- Good and Bad Procrastination - Страница 233
- How to Do What You Love - Страница 236
- Are Software Patents Evil? - Страница 242
- The Hardest Lessons for Startups to Learn - Страница 248
- How to Be Silicon Valley - Страница 255
- Why Startups Condense in America - Страница 260
- The Power of the Marginal - Страница 267
- The Island Test - Страница 275
- Copy What You Like - Страница 276
- How to Present to Investors - Страница 278
- A Student's Guide to Startups - Страница 282
- The 18 Mistakes That Kill Startups - Страница 290
- Mind the Gap - Страница 297
- How Art Can Be Good - Страница 305
- Learning from Founders - Страница 310
- Is It Worth Being Wise? - Страница 311
- Why to Not Not Start a Startup - Страница 316
- Microsoft is Dead - Страница 324
- Two Kinds of Judgement - Страница 326
- The Hacker's Guide to Investors - Страница 327
- An Alternative Theory of Unions - Страница 336
- The Equity Equation - Страница 337
- Stuff - Страница 339
- Holding a Program in One's Head - Страница 341
- How Not to Die - Страница 344
- News from the Front - Страница 347
- How to Do Philosophy - Страница 350
- The Future of Web Startups - Страница 357
- Why to Move to a Startup Hub - Страница 362
- Six Principles for Making New Things - Страница 364
- Trolls - Страница 366
- A New Venture Animal - Страница 368
- You Weren't Meant to Have a Boss - Страница 371
Why to Not Not Start a Startup
We've now been doing Y Combinator long enough to have some data about success rates. Our first batch, in the summer of 2005, had eight startups in it. Of those eight, it now looks as if at least four succeeded. Three have been acquired: Reddit was a merger of two, Reddit and Infogami, and a third was acquired that we can't talk about yet. Another from that batch was Loopt, which is doing so well they could probably be acquired in about ten minutes if they wanted to.
So about half the founders from that first summer, less than two years ago, are now rich, at least by their standards. (One thing you learn when you get rich is that there are many degrees of it.)
I'm not ready to predict our success rate will stay as high as 50%. That first batch could have been an anomaly. But we should be able to do better than the oft-quoted (and probably made up) standard figure of 10%. I'd feel safe aiming at 25%.
Even the founders who fail don't seem to have such a bad time. Of those first eight startups, three are now probably dead. In two cases the founders just went on to do other things at the end of the summer. I don't think they were traumatized by the experience. The closest to a traumatic failure was Kiko, whose founders kept working on their startup for a whole year before being squashed by Google Calendar. But they ended up happy. They sold their software on eBay for a quarter of a million dollars. After they paid back their angel investors, they had about a year's salary each. [1] Then they immediately went on to start a new and much more exciting startup, Justin.TV.
So here is an even more striking statistic: 0% of that first batch had a terrible experience. They had ups and downs, like every startup, but I don't think any would have traded it for a job in a cubicle. And that statistic is probably not an anomaly. Whatever our long-term success rate ends up being, I think the rate of people who wish they'd gotten a regular job will stay close to 0%.
The big mystery to me is: why don't more people start startups? If nearly everyone who does it prefers it to a regular job, and a significant percentage get rich, why doesn't everyone want to do this? A lot of people think we get thousands of applications for each funding cycle. In fact we usually only get several hundred. Why don't more people apply? And while it must seem to anyone watching this world that startups are popping up like crazy, the number is small compared to the number of people with the necessary skills. The great majority of programmers still go straight from college to cubicle, and stay there.
It seems like people are not acting in their own interest. What's going on? Well, I can answer that. Because of Y Combinator's position at the very start of the venture funding process, we're probably the world's leading experts on the psychology of people who aren't sure if they want to start a company.
There's nothing wrong with being unsure. If you're a hacker thinking about starting a startup and hesitating before taking the leap, you're part of a grand tradition. Larry and Sergey seem to have felt the same before they started Google, and so did Jerry and Filo before they started Yahoo. In fact, I'd guess the most successful startups are the ones started by uncertain hackers rather than gung-ho business guys.
We have some evidence to support this. Several of the most successful startups we've funded told us later that they only decided to apply at the last moment. Some decided only hours before the deadline.
The way to deal with uncertainty is to analyze it into components. Most people who are reluctant to do something have about eight different reasons mixed together in their heads, and don't know themselves which are biggest. Some will be justified and some bogus, but unless you know the relative proportion of each, you don't know whether your overall uncertainty is mostly justified or mostly bogus.
So I'm going to list all the components of people's reluctance to start startups, and explain which are real. Then would-be founders can use this as a checklist to examine their own feelings.
I admit my goal is to increase your self-confidence. But there are two things different here from the usual confidence-building exercise. One is that I'm motivated to be honest. Most people in the confidence-building business have already achieved their goal when you buy the book or pay to attend the seminar where they tell you how great you are. Whereas if I encourage people to start startups who shouldn't, I make my own life worse. If I encourage too many people to apply to Y Combinator, it just means more work for me, because I have to read all the applications.
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