Paul Graham's essays, as audio

A collection of Paul Graham's essays, converted to audio for listening on the go.

When we incorporated GrowthX in 2025, we deliberately ran the work by hand first as a content marketing agency for clients like Ramp, Lovable, Vercel, Brex and Reddit — before building any external facing product. That got us to 8 figure revenue and nearly 100 people team.

In June 2026 we launched the first user-facing version of our product. Launching a new product inside a company this size should be like getting back to seed stage, but with a different set of pros and cons .

A larger engineering team lets us take bold steps. It also means I have to keep reminding myself that the team building this first version should behave like it’s seed stage – that means being conscious on how to handle Conway’s law, data migrations, rollouts, etc.

I’ve kept rereading or referencing Paul Graham’s essays. And I wanted an audio version for my commute.

So, I pointed the same pipeline I built for a Computer History Museum oral history at Paul Graham’s blog to get the list I want to read again. This is the batch, grouped by theme.

Sharing here in case others find it useful.

09-07-2026 Update: I’m switching all the essays to use Eleven Labs + did some post processing to make the listening easier, and added chapters + enabled download so you can listen to the large “whole theme” volumes with any audiobook app of your choice.

Note: The audio is machine-narrated, and the text is adapted for listening rather than read verbatim. Every episode links to the original, which is the real thing.

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Download the omnibus audio book format

Here’s the full 25 hours audio book version with chapters that you can load into any audio player of your choice:

👉 https://drive.google.com/file/d/1FyxUePBx7Koajk_hlrHO-hlVyYxyUWaT/view?usp=sharing

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Startups & Founders

Whole theme: 14 hours.

How to Get Startup Ideas

Startup ideas come from noticing a problem you have yourself, not from trying to invent one. Every good idea shares three traits: the founders wanted it, could build it, and few others saw its value yet. A social network for pet owners sounds plausible but has zero real users; Microsoft’s Basic for the Altair had only a couple thousand possible buyers who needed it badly.

Pick depth over breadth: a narrow group that wants something urgently beats a wide group that finds it mildly interesting. Facebook started at Harvard, a few thousand students, before spreading through every college and then everyone. Stripe succeeded by not flinching from the “schlep” of payments that scared other programmers off.

This is for anyone hunting a startup idea who keeps landing on ones that sound fine but fold under scrutiny. The advice: get to the leading edge of some fast-changing field, then build whatever seems to be missing from your own life there.
Duration: 40min, Publish Date: Nov 2012, Post: paulgraham.com/startupideas.html

Do Things that Don’t Scale

Startups don’t take off on their own; founders force the launch by hand, then automate once it’s rolling.

Stripe’s founders got early users by saying “give me your laptop” and installing the product on the spot, a technique YC now calls a Collison installation. Airbnb’s founders went door to door in New York shooting “professional” photos of hosts’ apartments, thirty days that separated success from failure. Wufoo sent hand-written thank-you notes to every new user, and Facebook stayed Harvard-only, then school-by-school, before opening up. Pebble hand-assembled its first watches before selling $10 million worth on Kickstarter, and Viaweb’s founders built stores for merchants who wouldn’t build their own.

It hands anyone starting something the same reframe: judge an early product by whether the founders are doing the right small things, not by whether it looks like it’s taking over the world yet.
Duration: 25min, Publish Date: Jul 2013, Post: paulgraham.com/ds.html

Startup = Growth

A startup is defined by one thing: growth, fast enough to matter. Being new, working on technology, or taking venture money are side effects, not the definition. A barbershop can satisfy plenty of demand but can’t reach more customers than its chairs allow; a search engine has no such ceiling.

Growth rates make the case concrete. During Y Combinator, 5-7% weekly growth counts as good, 10% as exceptional, 1% as a warning sign. A company making $1,000 a month growing 1% weekly reaches $7,900 a month in four years; at 5% weekly it reaches $25 million. Wozniak building his own computer in 1975 and Page and Brin fixing search they found inadequate both turned personal problems into markets nobody else had noticed yet, and both became defensible once the wider market caught up.

That same growth number explains why VCs fund unprofitable companies, why founders take money they don’t strictly need, and why acquirers like eBay buying PayPal pay a premium: a fast-growing company is valuable and, left alone, dangerous. Useful for anyone trying to tell whether they’re running a startup or just a new business.
Duration: 30min, Publish Date: Sep 2012, Post: paulgraham.com/growth.html

Schlep Blindness

Startup founders avoid great ideas not because the ideas are bad, but because the work behind them looks unpleasant. A tedious, unglamorous task gets shut out of consideration before it’s even weighed, and the mind does the shutting out without telling you.

Stripe makes the case. For over a decade every hacker who processed payments online knew how painful it was, yet they built recipe sites and event aggregators instead, because fixing payments meant striking deals with banks, handling fraud, and navigating regulations.

The fix: stop asking what problem to solve, and ask what problem you wish someone else would solve for you.
Duration: 5min, Publish Date: Jan 2012, Post: paulgraham.com/schlep.html

Alive or Default Dead?

Half the founders running startups past their first year don’t know whether their current trajectory ends in profitability or in running out of cash. Default alive or default dead is the question, and answering it decides everything else: ambitious new bets, or a rescue plan.

The trap is the fatal pinch: default dead, slow growth, not enough runway left to fix it, reached because founders counted on raising more money instead of checking the math. Steep growth, over 5x a year, buys real investor interest; anything less makes fundraising a gamble, not a plan. The bigger killer is overhiring: founders raise a round, growth is only so-so because the product is merely appealing, and they hire to force growth that a bigger team can’t produce. Airbnb went the other way, waiting four months after Y Combinator to make its first hire.

For anyone past nine months in, this gives a five-minute gut check before the next hiring decision, and a reason to write down plan B before plan A stops working.
Duration: 8min, Publish Date: Oct 2015, Post: paulgraham.com/aord.html

What Happened to Yahoo

Yahoo’s collapse traces to two problems Google never had: easy money and confusion about what kind of company it was.

By 1998 advertisers were overpaying for banner ads, and Internet startups were buying traffic with money raised on the strength of Yahoo’s own revenue growth, a loop that made search look worthless. David Filo dismissed search as 6% of traffic in an industry growing 10% a month. Yahoo also called itself a “media company,” renaming programmers’ work “producers” and “properties” to dodge Microsoft’s attention, and let product managers and designers run the show while programmers just implemented. Google, at the same 500-person size, still asked engineers “what should we do?”

The lesson: any company that needs good software needs a hacker-centric culture, not just ones that call themselves technology companies. Bad programmers compound, since good ones won’t work alongside them, and there’s no recorded recovery once that spiral starts.
Duration: 12min, Publish Date: Aug 2010, Post: paulgraham.com/yahoo.html

Ramen Profitable

Ramen profitable means a startup earns just enough to cover the founders’ living expenses, not enough to count as a real business. That distinction matters because it removes the need to raise money to survive.

A hardware company might spend $50 million over five years before turning a profit, and that profit signals real success. A startup profitable on $3000 a month after two months, run by two 25 year olds living cheaply, signals nothing about scale, but shares the same freedom from investors. That freedom pays off four ways: better terms since investors can’t stall you into desperation, more investor interest since it proves people will pay, morale since the future flips from default-dead to default-alive, and no lost months of productivity spent thinking about a raise instead of the product, the way Y Combinator itself found when raising its own money.

It does not mean bootstrapping forever, and it can tip into disguised consulting if the revenue never becomes a scalable product. Google started this way, licensing search to Yahoo before building its real business.
Duration: 11min, Publish Date: Jul 2009, Post: paulgraham.com/ramenprofitable.html

How to Start Google

Starting your own company is the way to get really rich, and you can start preparing for it at 15, before you have any idea or cofounders. Nearly everyone on the published lists of the richest people got there by starting a company, not by working for one.

Getting good at technology comes from working on your own projects, not from classes: Mark Zuckerberg built the Harvard facebook overnight because he was a programmer who noticed the university hadn’t gotten one online. Steve Wozniak just wanted his own computer; Larry and Sergey just wanted better search results than “every page with the word rugby.” Ideas come the same way, from noticing broken things once you’re good enough to fix them, and cofounders come from working alongside people, which is why university matters: not its prestige, but the difficulty of getting in.

The advice for someone 14 or 15 comes down to two things: build stuff, for yourself and your friends, and do well enough in school to get into a good university.
Duration: 15min, Publish Date: Mar 2024, Post: paulgraham.com/google.html

What Microsoft Is this the Altair Basic of?

A startup idea that sounds lame at launch is often the strongest signal of a big company forming. Practically every huge company looked wrong at first: a Basic interpreter for the Altair, strangers renting airbeds, a site for college students to stalk each other, a single-board computer that used a TV as a monitor, one more search engine among ten that were all de-emphasizing search.

Founders rarely know why their own idea is promising; instinct pulls them toward something the market is missing before they can explain it. The test is to ask “what Microsoft is this the Altair Basic of.” Sometimes the answer doesn’t come, sometimes there are multiple answers of wildly different sizes, as with a startup that could grow into three distinct Microsofts.

Since nobody can predict how big any of those paths gets, the advice is to chase whichever one feels most exciting right now, on the strength of the instinct that produced the idea in the first place.
Duration: 2min, Publish Date: Feb 2015, Post: paulgraham.com/altair.html

The 18 Mistakes That Kill Startups

Startups almost never die from one dramatic mistake. They die from not building something people want, and eighteen specific habits funnel founders into that outcome.

Single founders lack the friends who’d talk them out of bad calls and the esprit de corps that survives low points; Y Combinator sees this pattern in a fifth of founder splits. Bad platforms kill quietly: Hotmail stayed on FreeBSD rather than Windows, and PayPal’s near-switch to Windows would have cut performance to 1% of Unix. Raising VC money changes a company physically: it moves to an office, hires employees over founders, and locks in a direction, while investors like Google’s early board can still fire a Steve Jobs. Google and YouTube both won by building the product first and worrying about revenue later; YouTube’s founders got $1.6 billion for lessons Google could have bought for $10 million eighteen months earlier.

This is aimed at people about to start a company, not people running one: a checklist of ways the whole effort can fail before it gets the chance to succeed.
Duration: 29min, Publish Date: Oct 2006, Post: paulgraham.com/startupmistakes.html

Change Your Name

If your startup is named X and someone else owns x.com, the fix is to change the name, not to work around it.

Not having the matching domain signals weakness: a marginal domain reads as a marginal company, while owning it signals strength even when it has no bearing on the business, as with Stripe. Founders resist changing course for two reasons: attachment to the name as identity, and the belief there’s no better option, both false. Naming is a separate skill from founding one; in 20-minute office hours, a good name turned up 80% of the time. Almost any non-bad word or word pair works, and enough such domains sit cheap or unregistered to make a shortlist worth buying.

100% of the top 20 YC companies by valuation hold the .com of their name, 94% of the top 50, but only 66% of the current batch. That gap is a problem fixable in a couple of days, for anyone willing to admit the name isn’t sacred.
Duration: 4min, Publish Date: Aug 2015, Post: paulgraham.com/name.html

Ideas for Startups

Coming up with startup ideas feels hard mainly because people think an idea has to already be a million dollar idea. It doesn’t: most startups end up nothing like their initial idea, so the real value of that first idea is the process of finding out it’s broken.

Treat the idea as a question, not a blueprint, and it survives being wrong as long as it leads somewhere. Two ingredients feed the questions: exposure to new technology and the right friends, which is why universities and grad school produce so many founders, and why a coding job at a big company doesn’t. Spam filtering shows the other half: in 2002 everyone tolerated spam or trusted existing heuristic filters, and a simple statistical classifier solved it because nobody had actually tried.

Useful for anyone stuck waiting for a idea to strike, and for founders deciding whether to sit down and brainstorm or just build things with friends and see what breaks.
Duration: 21min, Publish Date: Oct 2005, Post: paulgraham.com/ideas.html

Don’t Talk to Corp Dev

Corp dev is the group inside a company whose job is to buy other companies. Talking to them makes sense in exactly two situations: the company is dying, so there’s nothing to lose, or it’s doing so well that any offer will have to be high and a slow walk gets a quick brush-off.

The trap catches companies in between, especially ones under a year old growing fast but not yet big. Corp dev opens with a lowball number to test resolve, then drags the process out for months, and even a signed price can get halved later when “the boss vetoes it.” A Google contact, asked what happened to “Don’t be Evil,” said corp dev never got the memo. The pull works because a flattering approach and a possible high number make a distraction feel like due diligence.

The fix is Rockefeller’s trick against his alcoholic grandfather’s fate: never take the first drink. Don’t take the first meeting unless the answer to “do we want to sell right now” is yes.
Duration: 7min, Publish Date: Jan 2015, Post: paulgraham.com/corpdev.html

Mean People Fail

Meanness and success rarely travel together. Among startup founders, programmers and professors, the most successful people are almost never mean; meanness looks common only because the internet finally lets everyone publish it.

Being mean makes you stupid: fights force you to think in tricks that work once, not ideas that generalize, so your brain spins without traction. Mean founders also can’t hire the best people, who have other options; and the ones who keep going past an acquisition offer are usually driven by wanting to improve the world, not by money. Historically success meant winning zero-sum fights over scarce resources, from nomads driving out hunter-gatherers to Gilded Age railroad men. Archimedes shows the older pattern: winning by ideas, killed anyway by a Roman soldier. What is changing is that new-idea games, once confined to mathematicians and writers, are spreading into the wider economy.

For anyone building something, an argument that meanness is a competitive disadvantage now, not just a moral one.
Duration: 5min, Publish Date: Nov 2014, Post: paulgraham.com/mean.html

Relentlessly Resourceful

A good startup founder comes down to two words: relentlessly resourceful. Relentless alone isn’t enough, because the obstacles in an interesting domain are novel; you don’t know in advance whether you’re plowing through foam or granite, so you have to keep trying new approaches rather than just pushing harder.

This isn’t the general recipe for success. Writing and painting call for active curiosity instead, since the obstacle there is your own obtuseness, not something external. After four years of trying to teach the quality to people, many, though not all, turned out to have a latent capacity for it, especially those who’d spent their whole lives under some authority’s thumb.

The test doubles as a filter: ask whether you’re relentlessly resourceful before starting a startup, and ask it of anyone you’d take on as a cofounder. It also bounds how many startups can exist at all, since the limit isn’t economic, it’s the size of the pool of people built this way.
Duration: 6min, Publish Date: Mar 2009, Post: paulgraham.com/relres.html

The Hardest Lessons for Startups to Learn

A startup should get a minimal version 1 out fast, then improve it constantly based on how users actually respond. Speed of iteration matters more than where the product currently stands.

Wufoo released its form-builder before the underlying database was ready; 83,000 people showed up anyway, and Linux users complaining about Flash usage led to a rewrite that wouldn’t have happened otherwise. Determination, not intelligence, is named the key trait in founders: Microsoft, Yahoo, and Google were all started by dropouts, not professors, and VCs who chase eminent academics are backing the wrong quality. Fear other unknown startups, not Google, and treat every “we want to invest” or “we want to acquire you” as something that won’t happen until it does.

This covers release strategy, competitive fear, deal-making psychology, and the case that a startup is best understood as a way to compress a lifetime of earning a living into a few intense years.
Duration: 26min, Publish Date: Apr 2006, Post: paulgraham.com/startuplessons.html

The Ronco Principle

Ron Conway has invested in more top Silicon Valley startups than any other angel or VC, and he did it by being good, not by seeming good. Referrals built the position: Google, Facebook, and a Twitter introduction that came straight from Evan Williams. Founders send him deals because he has never been caught treating anyone badly.

That pattern holds across investors generally: plot benevolence against returns and the line trends up, not down. Two forces make it hold. Startup dealings are transparent now, so mistreating a founder gets back to other founders fast, and Y Combinator’s cross-portfolio view makes investor behavior even harder to hide. And the world moves too fast to fake it selectively: the college kid you dismiss today might run the hottest startup in two years, so the only workable strategy is treating everyone well.

The reach goes past startups. Any world getting more connected and less predictable is heading toward the same rule: it becomes too costly to seem good without being good.
Duration: 4min, Publish Date: Jan 2015, Post: paulgraham.com/ronco.html

What We Look for in Founders

Determination matters more than intelligence in startup founders, as long as founders clear a basic bar of smarts. Founders hit constant obstacles and can’t get demoralized. But raw stubbornness needs flexibility too, the willingness to change the plan while staying determined to get downfield.

Bill Clerico of WePay kept calling bureaucratic partners until they gave in. Daniel Gross of Greplin dropped his original ecommerce idea, tried two more, and landed on Greplin days before Demo Day. Airbnb looked too crazy to fund until its founders described selling Obama and McCain branded cereal boxes to pay rent. Sam Altman’s suggested application question, asking about a time someone hacked a system to their advantage, became one of the most useful signals in reviewing founders.

Also cited: imagination that produces ideas at the right level of craziness, a naughty streak that ignores irrelevant rules, and a close, resilient friendship between co-founders, since startups pull apart any relationship that isn’t strong.
Duration: 4min, Publish Date: Oct 2010, Post: paulgraham.com/founders.html

A Student’s Guide to Startups

Starting a startup is becoming a real third option alongside a job or grad school, and it could become as common as grad school once was. Undergrads have the technical skill for it, but graduation itself changes something: once you leave school, a startup reads as your occupation rather than a summer project, so peer judgment pushes you to make it work.

The best age turns out to be the mid-twenties, not younger. Young founders gain stamina, poverty, rootlessness, and ignorance: Robert Morris and Paul Graham lived like 23 year olds while building Viaweb, charging $300 a month, an order of magnitude below the market. Sam Altman started Loopt after his sophomore year and became the exception, not the rule; Google, by contrast, produces zero startup founders because it’s too comfortable to leave.

This is for CS majors weighing a startup against a job or grad school, especially anyone hunting for a co-founder: school is named as the best place to find one, before classmates get tied down by mortgages and jobs.
Duration: 35min, Publish Date: Oct 2006, Post: paulgraham.com/mit.html

Be Good

A startup should aim to make something people want and not worry about revenue at first, which is basically the definition of a charity. Businesses that behave like nonprofits early on tend to become the most valuable companies.

Craigslist runs on a tiny staff and stays upwind of revenue it could easily take. Google ran ad-free for over a year, indistinguishable from a nonprofit indexing the web. Early Microsoft cut hardware prices by breaking IBM’s PC monopoly, and its stock rose like Google’s until it started treating users badly and went flat for years. Being good also works mechanically: it keeps founders working through the low points (Blogger’s Evan Williams alone in the office, still hosting thousands of blogs), it draws in investors, customers and the best hackers, and it gives 57 surviving Y Combinator startups a stateless rule for every hard decision: do whatever’s best for your users.

For anyone running a startup and drowning in decisions, this hands over a working compass rather than a slogan.
Duration: 15min, Publish Date: Apr 2008, Post: paulgraham.com/good.html

Before the Startup

Startups don’t work the way instinct predicts, and the mistakes founders make come from trusting instincts built for school and big companies instead. Y Combinator’s own function, joked about internally, was to tell founders things they’d ignore and then hear “I wish we’d listened” a year later.

Domain expertise beats startup expertise: Mark Zuckerberg succeeded as a “complete noob” at startups because he understood his users. Gaming the system, the trick that works in school and at big companies, stops working here; there’s no boss to impress, only users deciding if the product does what they want. Voice-over-IP, Airbnb, and Google all trace back to founders solving a real problem out of curiosity, not a business plan.

The advice for college students specifically: don’t start a startup at 20, since success then forecloses the “breadth-first” exploration years that people like Darwin (age 22, HMS Beagle) got to have. Learn things that matter, work with people you respect, and let the idea arrive as a side project.
Duration: 25min, Publish Date: Oct 2014, Post: paulgraham.com/before.html

Can You Buy a Silicon Valley? Maybe.

A city cannot copy Silicon Valley by funding startups the way Y Combinator does. Seed-stage startups are mobile: they take the money and move wherever the next round comes from. To build a local hub you need startups that put down roots, and that only happens with enough money that they never need to leave.

That price is at least half a million dollars per startup, twenty times a $15-20k YC check; Wufoo rooted itself in Tampa on $118k, but that’s an outlier. At a million each, a billion dollars buys a thousand startups and, within five years, a self-sustaining scene, enough that VCs start opening local offices instead of demanding relocation. The harder problem is picking which thousand: local VC funds look impressive to city officials but fail at exactly the skill that matters, so the proposed shortcut is offering relocation money to startups already backed by well-known Silicon Valley angels.

This is a thought experiment in civic economics, not a call to action: a plan any city, or any rich private citizen, could test with thirty startups and a million dollars each before betting the stadium money on it.
Duration: 10min, Publish Date: Feb 2009, Post: paulgraham.com/maybe.html

Female Founders

Y Combinator funds more female founders than VCs do, 16 of 68 companies in the current batch, 24%, up from 9% two years ago and nearly twice the industry’s 13% of series A rounds. That happened through action, not advocacy: fund founders VCs overlook, then help them beat the bias they meet elsewhere, the same approach used earlier for young founders.

Adora Cheung’s Homejoy couldn’t find a VC to lead its series A despite fast growth; a tweeted revenue graph fixed that, because steep enough growth gets funded regardless of who’s asking. Getting to parity depends on the pipeline of female programmers, still far from 50%, so the leverage point sits earlier: access to computers and, more, examples of people who’ve done it, the reason Stanford produces more startups than Yale.

This lays out a theory of where bias in startup funding actually breaks, and where fixing the founder pipeline would need to start.
Duration: 12min, Publish Date: Jan 2014, Post: paulgraham.com/ff.html

Five Founders

Five founders shaped how startups think, ranked by influence rather than fame. Steve Jobs made design central to a company’s identity, staying culturally relevant for 30 years with products people anticipate like new novels. TJ Rodgers, less famous but Silicon Valley’s best writer among CEOs, taught a candid, pragmatic mode of thinking, crystallized in his essay “High Technology Innovation: Free Markets or Government Subsidies?”

Larry and Sergey tested a hypothesis at Google: hire the smartest hackers, give them a measurable problem, and the rest resolves itself. Paul Buchheit built GMail, prototyped AdSense, wrote “Don’t be evil,” and argued that a small number of users who love you beats a large number who just like you. Sam Altman showed that a few people have enough will to get whatever they want, regardless of the odds.

This works as a quick primer on which people and phrases recur in startup advice, useful for founders or investors who want the reference points behind them.
Duration: 4min, Publish Date: Apr 2009, Post: paulgraham.com/5founders.html

Founder Control

Founders can keep majority control of the board through a series A. Ten years ago that was rare: the standard board was two founders, two VCs, one independent, and founders lost their majority either way. Mark Zuckerberg kept board control of Facebook through the series A and still has it; Mark Pincus did the same at Zynga.

Board control is not the same as total control; VCs still hold vetoes over big decisions like a sale, and votes are usually unanimous because the losing side backs down before the vote. But when opinions split, whoever holds the majority tends to prevail on what counts as the shareholders’ interest. A dozen YC-funded companies reported founders keeping board majorities after their A round, and VCs often resist conceding board seats mainly because they don’t want to look beaten in front of their partners, not because they care about the outcome itself.

This traces a shift already underway and predicts it will become the norm within a year, since the startups able to hold board control tend to be the ones that set the terms other founders and VCs follow.
Duration: 4min, Publish Date: Dec 2010, Post: paulgraham.com/control.html

Founder Mode

Airbnb’s free cash flow margin is now among the best in Silicon Valley, and Brian Chesky got there by rejecting the advice everyone gives growing founders: hire good people, give them room, stay out of the details. Followed straight, that advice nearly wrecked the company.

Running a company you founded is different from running one you were hired to manage. Chesky rebuilt his approach by studying Steve Jobs, who ran an annual retreat at Apple for the 100 people he considered most important, regardless of where they sat on the org chart, and who took skip-level meetings for granted. Founder after founder at a recent YC event described the same pattern: conventional scaling advice damaged their companies, and going around it fixed things.

There’s no book on this yet, no business-school course. What’s collected here are scattered examples of founders improvising their way past bad advice, offered as a first sketch of something not yet named.
Duration: 7min, Publish Date: Sep 2024, Post: paulgraham.com/foundermode.html

Founders’ Accents

Founders with accents so strong that people can’t understand them tend to run companies that do badly. This is not about accent as a cultural signal; plenty of Silicon Valley’s most successful founders speak with heavy accents. The problem is comprehension, not origin.

Ranking every YC company by valuation, the CEOs with strong foreign accents cluster around 100th place and below. Demo Day pitches, at two minutes thirty seconds, get memorized phoneme by phoneme, so they don’t expose the problem; office hours do, where subtle points get lost and phone calls degrade communication further, which is why YC requires founders to relocate to Silicon Valley. A founder is always selling, to employees, investors, and press who start out skeptical and won’t work to understand you.

The advice that follows: make yourself easy to understand, because startup ideas already sit close enough to bad ideas that any added friction sinks them. Aimed at founders coming to Silicon Valley from abroad, and at the entrepreneurship programs preparing them.
Duration: 4min, Publish Date: Aug 2013, Post: paulgraham.com/accents.html

Frighteningly Ambitious Startup Ideas

The biggest startup ideas are the ones that scare you off, and that fear is exactly why they’re worth naming. A new search engine, a replacement for email, a replacement for universities, internet drama delivered outside cable, the next Steve Jobs, a compiler that parallelizes code automatically, and ongoing medical diagnosis all fit the same test: hard enough to feel impossible, valuable enough to build a billion-dollar company around.

Each case comes with its own evidence: Google’s search results getting cluttered, GMail slow enough that $1000 a month for a fast replacement would be reasonable, Bill Clinton learning his arteries were 90% blocked only after symptoms appeared, Facebook starting with just Harvard undergrads before becoming the universal site.

The advice for approaching any of these: start small and specific, like a Basic interpreter for a machine with a few thousand Altair owners, and expand outward rather than announcing the big goal upfront.
Duration: 21min, Publish Date: Mar 2012, Post: paulgraham.com/ambitious.html

Hiring is Obsolete

Undergrads are undervalued, and the cost of starting a startup has dropped so low that the main expense is food and rent. Ten thousand dollars and a willingness to live on ramen is enough seed funding to test whether a 20 year old can build something people want.

Big companies buy startups for the team as much as the technology, often for two or three million dollars six months in, essentially a hiring bonus. Yahoo, Google and Microsoft were all founded by 24 year olds; Google’s own founders held off a year before accepting a CEO the VCs wanted. Nine of ten startups fail, but the one that works pays more than ten times an ordinary salary, and a failed attempt at 22 doesn’t hurt you: Yahoo’s Zod Nazem said he’d rather hire the candidate whose startup tanked.

This is aimed at ambitious college students and grad students weighing a startup against a first job, with grad school floated as a reasonable launch pad in the meantime.
Duration: 26min, Publish Date: May 2005, Post: paulgraham.com/hiring.html

How Not to Die

A 50 percent success rate for funded startups means half the founders get rich and half get nothing. The only lever that moves a company between those outcomes is refusing to die.

Y Combinator’s own track record backs this: of roughly ten startups that failed out of five funding cycles, the warning sign was always silence, not a dramatic collapse. Founders who kept shipping and staying in touch survived; official causes of death (running out of money, a co-founder bailing) mask the real one, demoralization. Blogger and Delicious took years but grew from a small core of fanatic users into successes; Octopart’s founder dropped out of grad school after a Newsweek profile made failure too humiliating to accept, and stopped being able to quit.

This is aimed straight at founders mid-startup, worried they’re failing because nothing they tried worked yet. The advice is blunt: don’t add a fallback like grad school, find the few users who love you, and keep typing.
Duration: 10min, Publish Date: Aug 2007, Post: paulgraham.com/die.html

How to Start a Startup

Getting rich from a startup is doable, not brilliant. Three things determine it: start with good people, build something customers want, spend as little money as possible. Most failures trace to one of those three, not to a missing idea.

Google’s plan was a search site that didn’t suck: index more of the web, rank by links, keep pages clean. That alone brought in a billion dollars a year. Viaweb grew slowly, hit 70 users by the end of 1996, and used that year to learn online commerce cold while competitors chased brand and headcount. Warren Buffett aside, only 5 of the Forbes 400’s top 50 hold MBAs.

For anyone weighing a startup against a salaried career: the math, the hiring test (”could you call this person an animal”), and the case for renting an apartment over an office.
Duration: 53min, Publish Date: Mar 2005, Post: paulgraham.com/start.html

Learning from Founders

Startups are most productive in their earliest phase, when Apple was just Steve Jobs and Steve Wozniak. The messiest-looking stretch of a company outproduces the buttoned-up version that comes later.

Business dresses itself up in suits, conference tables and Powerpoint, and that effort makes organizations worse, not better, the same way bolting fake spoilers onto a car slows it down; the fastest quarter mile came from a magazine stripping a car of everything the manufacturer added to make it look fast. Real programming happened in a towel at 2am in a room full of junk, not from well-dressed people at clean desks during office hours, and even founders who lived this often felt like impostors for not looking the part.

Founders at Work exists to show that first year to people who never get to see it: investors, executives, and anyone trying to tell what real productivity looks like versus what merely looks professional.
Duration: 5min, Publish Date: Jan 2007, Post: paulgraham.com/foundersatwork.html

Microsoft is Dead

Microsoft’s death happened years before anyone noticed. It ran the software world for nearly 20 years starting in the late 1980s, inheriting the monopoly IBM had held since the 1950s. By 2005, four things killed it at once.

Google took the lead in 2005, not at its August 2004 IPO; Gmail proved it could do more than search, and showed what Ajax could do on the web. Microsoft had built the key piece, XMLHttpRequest, for Outlook in the late 90s without grasping its use elsewhere, then fought Javascript while open source libraries grew over Explorer’s bugs “like a tree over barbed wire.” Broadband made the desktop optional, and OS X brought Apple back so completely that Y Combinator’s founders and Startup School’s audience all carried Macs.

Microsoft still has the cash to buy every good “Web 2.0” startup for less than Facebook alone would cost. It won’t, because it still thinks it can write software in house.
Duration: 7min, Publish Date: Apr 2007, Post: paulgraham.com/microsoft.html

Organic Startup Ideas

The best startup ideas come from something you personally want built, not something you decide, from a distance, that other people need.

Woz built the Apple I because he wanted a computer; enough other people wanted one too that Apple could sell them. Bill Gates wrote the first Basic interpreter because the Altair only ran machine language. Larry and Sergey wrote early Google for themselves. Mark Zuckerberg wasn’t starting a company when he put Harvard’s paper facebook online in 2004; neither was Woz when he started the Apple I. Both looked like toys at the time, which is usually the sign an idea is being overlooked.

This favors young founders, who lack the experience to guess what strangers need but sit closest to new technology and its fresh, fixable breakage. The advice: stop asking what’s investable and start asking what’s broken in your own daily life.
Duration: 6min, Publish Date: Apr 2010, Post: paulgraham.com/organic.html

Post-Medium Publishing

Publishers of all kinds insist consumers won’t pay for content anymore, but they never really sold content in the first place. A copy of Time costs $5 for 58 pages, 8.6 cents a page; The Economist costs $7 for 86 pages, 8.1 cents a page. Better journalism costs slightly less, which only makes sense if publishers have always been marking up paper, not prose.

iTunes gets read as proof people pay for content, but it works as a tollbooth: Apple owns the channel and dings a credit card just below the threshold of attention. Software charges real money because businesses fear pirated copies and because a Photoshop user needs Photoshop in a way no one needs a particular song. Premium cable still gets paid because broadcasting isn’t publishing at all.

Two paths remain: give the work away and profit from concerts, t-shirts, or advertising, or embody it in a physical object worth owning, like a well-made book or a lush fashion magazine. Anyone trying to guess what replaces newspapers, records, and paperback publishing gets a clear test here for telling a real opportunity from a stalling tactic.
Duration: 10min, Publish Date: Sep 2009, Post: paulgraham.com/publishing.html

Startups in 13 Sentences

Startups succeed by making a small number of users love the product, not a large number merely satisfied by it.

Thirteen rules compress to one: understand your users, since that is the dimension of wealth founders control most. Paul Buchheit’s principle anchors the list; launching fast, letting the idea evolve, and offering customer service too good to scale all serve the same end, learning what users lack before scaling to satisfy them. Cheapness (Viaweb’s habit) and “ramen profitable” status buy the time to keep iterating; 20 deals falling through taught the value of ignoring deals until they close.

This is a working checklist for founders past the idea stage: what to prioritize when cash, morale, and focus are all under pressure at once.
Duration: 8min, Publish Date: Feb 2009, Post: paulgraham.com/13sentences.html

The Airbnbs

Airbnb almost died before it worked. Brian Chesky, Joe Gebbia, and Nate Blecharczyk spent a year with no growth, funding the company on a binder full of maxed-out credit cards, and had agreed that Y Combinator was their last shot.

What kept them going was a taste of the thing itself: renting airbeds during a design conference, they and their first three guests all had a good time, proof of a new way to travel and a new way to pay rent. During YC they chased ramen profitability, $4000 a month taped to their bathroom mirror, by focusing entirely on New York City, visiting hosts in person and shooting their listings with a rented camera. Fees went from $460 to $897 to $1428 across three weeks in February 2009, in the middle of the worst recession in decades.

It reads as a case study in founder intensity: taking notes in every meeting, implementing suggestions before the next one, refusing to quit an idea that investors had already walked out on.
Duration: 6min, Publish Date: Dec 2020, Post: paulgraham.com/airbnbs.html

The Cliffs Notes - Microsoft is Dead

Microsoft being dead never meant going out of business. It meant people building new technology no longer had to think about them, the way nobody building a startup worries about SAP even though SAP makes plenty of money.

Technology companies work differently from actors or pop stars. A pop star who stops mattering can still be broke later or make a comeback; a technology company almost never comes back once it crosses into irrelevance, the way IBM did before it. Relevance can lead revenue by five or ten years, so a company can be called dead long before its balance sheet shows any trouble.

Calling Microsoft dead first meant risking being wrong: if Microsoft somehow turned itself back into something startups had to worry about, the call would look foolish. That risk was accepted deliberately, since being first to say it was the point.
Duration: 2min, Publish Date: Apr 2007, Post: paulgraham.com/cliffsnotes.html

The Fatal Pinch

Startups usually die from a specific trap: several months of runway, heavy monthly losses, flat or weak revenue growth, and a plan to close the gap with a new funding round. That plan fails more often than founders expect, because three forces stack against them the second time around: spending is higher than at the first raise, investors hold later-stage companies to higher standards, and a company that hasn’t grown now reads as a failure by default.

The trap is self-reinforcing: expecting more money makes founders slack on reaching profitability, which lowers the odds of raising it. Y Combinator’s fix is to treat every round as the last one you’ll get. If you’re already in the pinch, the probability of another raise is effectively zero, leaving three moves: shut down, cut spending (mainly headcount), or raise revenue by shifting people onto sales or taking on consultingish work, precisely defined and paid upfront rather than billed by the hour.

Written for a founder watching runway shrink, with a concrete diagnostic for whether to trim headcount or chase revenue: overhired teams should cut first, small teams should sell harder.
Duration: 9min, Publish Date: Dec 2014, Post: paulgraham.com/pinch.html

The Other Road Ahead

Web-based software runs on a server, using the browser as the whole interface, and this will out-compete desktop software for most users.

Viaweb ran this way from 1995 and grew into Yahoo Store, with 14,000 users. No installation, no operating systems, no version numbers: three programmers shipped three to five releases a day instead of one a year, cut known bugs to under ten at any time, and got the capital cost per user down to about $5. Watching users directly, one added message about the Back button raised test-drive completion from 60% to 90% and lifted revenue growth 50%.

This favors startups over incumbents like Microsoft, since writing for servers needs no OS deals, no shelf space, and lets founders launch on under $10,000, as Viaweb did with three people in an apartment.
Duration: 68min, Publish Date: Sep 2001, Post: paulgraham.com/road.html

The Pooled-Risk Company Management Company

Startup founders want two things: freedom from running the business day to day, and security against its revenue disappearing. Owning your own company gives you neither: no boss demands more than a company you depend on, and stop paying attention and the revenue stops too.

The fix already exists. A public acquisition is structurally a pooled-risk management company: it hires a manager (the acquirer) and pools your company’s fate with many others, so one dead market doesn’t sink you, the way Viaweb’s sale did for its founder. The catch is timing, not the mechanism: acquirers behave like rational risk-pooling buyers only on average, over a window of years, so you need enough runway, meaning profitability, to survive until an up cycle hits.

David Heinemeier Hansson’s advice to live off revenues isn’t wrong. It’s just not opposed to selling the company; for most founders, selling is the optimal version of exactly that plan.
Duration: 7min, Publish Date: Jul 2008, Post: paulgraham.com/prcmc.html

The Reddits

Steve and Alexis Huffman and Ohanian pitched a bad idea: ordering fast food by cellphone, before smartphones existed. It never launched. It still doesn’t exist 19 years later. But their curiosity and energy were enough to build a company around, so the offer became: we’ll fund you, just not that.

The replacement idea came from watching del.icio.us/popular, a list of most-saved links functioning as a de facto news feed. Reddit shipped a couple hundred lines of code, three weeks into the first YC batch, tested by Steve, Alexis, their YC batchmates, and multiple accounts per person. Its one difference from the incumbent, Slashdot, mattered: user submissions instead of editors, making it consistently fresher. Chris Slowe and Aaron Swartz joined soon after.

Reddit’s traffic grew slowly, then never stopped, surviving years of mediocre management after Steve left, because the product itself was close to unkillable. When Steve returned in 2015, growth resumed at a scale that showed what the company could do with someone who actually cared running it.
Duration: 6min, Publish Date: Mar 2024, Post: paulgraham.com/reddits.html

The Trouble with the Segway

Segways don’t get ridden the way their inventors hoped, and the reason is simple: standing still while a machine does the work makes a rider look smug. A motorcycle rider works just as little, but sitting astride it reads as effort; standing on a Segway doesn’t.

Trevor Blackwell built two working models to test this directly: the Segwell, a homemade Segway, and the Eunicycle, a unicycle that looks pedaled but isn’t. Riding the Eunicycle to get coffee in downtown Mountain View got him smiles. Riding the Segwell got him shouted abuse from passing cars. The company itself never ran that test: flush with funding, it built in secret with focus groups instead of real users, so nobody ever yelled an insult out a car window at it.

The fix suggested here is a version ridden foot-in-front-of-foot, skateboard style, styled like a skateboard or bicycle rather than a medical device.
Duration: 2min, Publish Date: Jul 2009, Post: paulgraham.com/segway.html

Web 2.0

Web 2.0 got a real meaning by accident, arrived at through three things that are simply the web working as it was always meant to: Ajax, democracy, and not treating users badly.

Google Maps in early 2005 proved Javascript-heavy apps could feel like desktop software, and thousands of hackers built on Ajax within months, the way none ever built on Java applets. Wikipedia and Reddit show amateurs beating edited professionals once enough of them can publish and voters can filter; editing yields 95th-percentile writing, but an unedited pool large enough beats it at the top. Craigslist and iTunes show giving users more, not less, for free is what wins, while Rupert Murdoch’s $580 million for Myspace marks how far the market has cooled since the Bubble.

None of it was invented; Google just built its entire business, search, ranking, Maps, on this pattern and got there first. Worth half an hour for anyone building or investing in web products who wants a name for what’s already working around them.
Duration: 19min, Publish Date: Nov 2005, Post: paulgraham.com/web20.html

What I’ve Learned from Users

Startups mostly break in the same handful of ways. A few thousand companies advised over a decade produce a partner who has seen nearly every failure mode within a year or two, which is why funding many early-stage companies beats funding fewer later-stage ones: more goes wrong, faster.

That knowledge doesn’t reduce to a formula. Office hours stay one-on-one because founders misjudge which of their problems matters, or don’t see the real one at all: asked “would you use this yourself,” some say no and only then find their real problem. The summer 2012 batch broke at 80 startups because the partner pool worked as an O(n^2) match, fine at 60, unworkable a third larger; sharding partners into small groups fixed it. Founders often don’t listen anyway, because good advice sounds wrong until a year later.

Colleagues matter as much as advice. Florence in the 1490s, Bell Labs, Xerox PARC: ambitious people cluster and produce more together than alone, and YC was built to manufacture that cluster on purpose.
Duration: 12min, Publish Date: Sep 2022, Post: paulgraham.com/users.html

What Startups Are Really Like

Founders who ran startups funded through Y Combinator reported the same surprises again and again, and the pattern is not new information, it’s how much more extreme everything is than a job prepares you for.

Cofounder relationships turn into something closer to marriage, tested harder than any coworker relationship. Emotional swings happen within hours, not weeks. Deals fall through routinely, investors often can’t even switch on the hardware they’ve funded, and luck matters more than the skill-focused world of hacking trains people to expect: Microsoft’s fate hinged on whether IBM demanded an exclusive DOS license. Persistence beats intelligence, launching the smallest possible version beats polishing, and changing the idea after talking to users beats sticking to the original plan.

The through-line: every unconscious expectation carried over from a job turns out wrong. That reframing is aimed at anyone about to start a company, or already running one and wondering if what they’re feeling is normal.
Duration: 28min, Publish Date: Oct 2009, Post: paulgraham.com/really.html

What the Bubble Got Right

Yahoo’s stock traded at $200 with a P/E that implied $12; even its earnings were circular, since startups funded by Yahoo-driven VC money plowed that cash straight back into Yahoo ads. The crash wiped 95% of the value, yet the company that was left still cleared $8 billion after six years, built in six years.

That residue is the point: Google reached 82 million monthly users and about $3 billion in annual revenue without ever running an ad, because low switching costs let the best product win by word of mouth alone. The same forces favor 26-year-old founders over experienced management, informal dress over suits, and startups built to be sold, like Viaweb, over startups built to grow slowly.

Useful for founders and early employees weighing options, informality, or going public early, on the argument that good ideas are starting to beat good connections.
Duration: 22min, Publish Date: Sep 2004, Post: paulgraham.com/bubble.html

Why It’s Safe for Founders to Be Nice

Nice people can win as founders, and it costs surprisingly little.

Startups grow superlinearly, so being bad at extracting money from users only scales down the Y axis, not the shape of the curve. A company making $1000 a month growing 5% a week hits $160k a month in two years; extracting only half as much per user leaves it at $80k, which is just 15 weeks behind, always, since 2 is about 1.05 to the 15th power. Growth rate matters more: shift from 5% to 6% a week while still only extracting half, and after two years you’re at $214k versus the rapacious founder’s $160k, and a year later at $4.4 million versus $2 million.

This gives founders who worry they’re too soft a concrete trade: stay generous, and put the compensating effort into growth rate instead of squeezing customers.
Duration: 5min, Publish Date: Aug 2015, Post: paulgraham.com/safe.html

Why Startup Hubs Work

Startup hubs don’t create success so much as prevent the default outcome, which is death. Most towns don’t kill startups; they just fail to save them from the failure that’s already baked in.

Two forces make the save possible, both driven by sheer density of startup people: an environment where starting a company reads as normal rather than as unemployment, and chance meetings that supply exactly what a startup needs at the moment it needs it. Sean Parker walking into Facebook’s path in 2004, Larry Page meeting Sergey Brin, a single lunch on University Ave turning up Charlie Cheever, Selina Tobaccowala, and half a dozen others. Y Combinator works by manufacturing that density on purpose, funding enough companies that someone in the batch usually has the one missing piece another needs.

The case is for anyone weighing whether location matters: not infrastructure or weather, but the number of people around you who’ve decided ambition here is normal.
Duration: 10min, Publish Date: Oct 2011, Post: paulgraham.com/hubs.html

Why There Aren’t More Googles

Startups rarely turn down acquisition offers, and the ones that do usually end up bigger than the offer. Google could have become nothing more than Yahoo’s or MSN’s search box; Facebook nearly sold when Yahoo lowballed it. Both stayed independent because acquirers underpriced them, not because their founders had some special mission.

The bigger bottleneck sits earlier, with VCs. Y Combinator gives startups $20k at the very start; VCs show up once a company is already succeeding with checks near $2 million. In between is a gap most YC startups fall into, wanting $250-500k, that VCs won’t fill. VCs chase consensus, so the ideas most likely to seem bad at first (the ones Howard Aiken’s “ram them down people’s throats” line describes) get turned away.

The fix proposed: VCs should make five $400k bets instead of one $2 million bet, skip the board seats, cut the diligence. For anyone deciding whether to fund or found something in that $200k-ish range, this explains why the money isn’t there yet and who’s likely to fill it.
Duration: 8min, Publish Date: Apr 2008, Post: paulgraham.com/googles.html

Why to Move to a Startup Hub

Startups do better in Silicon Valley than anywhere else, and the same logic applies at every scale: London to Silicon Valley is the same move as a small agricultural town to London. Whatever argument excuses staying in London also excuses never leaving the small town.

Boston proves the point inside a single country. Y Combinator alternates funding cycles between Boston and Silicon Valley every six months, yet even Boston founders get told to move west. West coast investors act faster and bolder: a VC who had met a YC founder a week earlier beat out a Boston VC who had known him for years. Boston turned down Facebook before it moved west and raised money there. Silicon Valley has pulled ahead of Boston since the 1970s, bubble included.

Real exceptions get named: family disruption, immigration cost (one Canadian startup burned six months trying to move, then gave up), industry ties like entertainment favoring New York or LA, or an investor already committed to fund you where you stand.
Duration: 8min, Publish Date: Oct 2007, Post: paulgraham.com/startuphubs.html

Why to Not Not Start a Startup

Y Combinator’s first batch, summer 2005, put eight startups through the program; four succeeded, three by acquisition, including Reddit’s merger with Infogami, and Loopt grew strong enough to be bought “in about ten minutes” if it wanted. About half those founders got rich inside two years, against an oft-cited 10 percent success rate for startups generally.

None of the failures were traumatic. Kiko’s founders worked a full year before Google Calendar squashed them, sold their software on eBay for $250,000, and immediately started Justin.TV. Sixteen reasons people give for not starting a company get examined in turn: too young, no cofounder, no idea, family to support, fear of uncertainty, parents wanting a doctor in the family. Sam Altman, funded at 19, and the claim that 70 percent of a startup’s idea usually changes within three months anchor the argument that most of these reasons don’t hold up.

This is aimed at hackers who are unsure whether to apply, weighing a startup against a cubicle job at a place like Microsoft or Google.
Duration: 33min, Publish Date: Mar 2007, Post: paulgraham.com/notnot.html

Why to Start a Startup in a Bad Economy

Startup success depends on the founders, not on economic conditions. Recessions don’t sink good companies and booms don’t save weak ones, so the calendar year is nearly irrelevant next to who’s on the team.

Technology moves independently of the stock market: Microsoft’s Basic interpreter for the Altair was exactly what 1975 needed, and waiting would have missed the window. Costs have dropped enough that running lean, the cockroach strategy, keeps a startup alive through a downturn, and customers who need to save money are actually easier to sell to. Investors get more skittish in bad times, which is the one real cost, but hackers rarely go hungry even when a startup fails.

This is aimed at anyone holding off on a startup idea until conditions improve. The advice: find the right cofounder, keep costs low, and act on the idea now rather than waiting for a better economy.
Duration: 6min, Publish Date: Oct 2008, Post: paulgraham.com/badeconomy.html

Why TV Lost

Facebook killed TV. Four forces decided it, three predictable: the internet is an open platform where anyone builds and the market picks winners, Moore’s Law kept expanding bandwidth, and piracy trained a generation to watch on a computer screen because Bittorrent and YouTube were simply more convenient than free. The fourth was harder to see coming: social applications. Teenagers wanted computers not for the machine itself but to reach friends, through social networks, multiplayer games, messaging.

Networks are hemmed in by local affiliates the way car companies are hemmed in by dealers and unions, so they add live shows to force synchronous viewing and call it cheaper production, without seeing that cheap live content should mean more volume, not less. Synchronicity and locality, the two pillars of broadcast, dissolve online: no reason to send everyone the same signal from a local source.

For anyone weighing whether local TV, network gatekeeping, or the broadcast model survives online distribution, this is the case for why it doesn’t, and why the networks producing live TV as a defense are solving the wrong problem.
Duration: 9min, Publish Date: Mar 2009, Post: paulgraham.com/convergence.html

Why Twitter is a Big Deal

Twitter is a new messaging protocol, one where you don’t specify the recipients. New protocols that actually catch on are rare: TCP/IP, SMTP, HTTP, and not much else. A protocol owned by a private company is rarer still.

Slow monetization turned into an accidental advantage. Because the founders never locked it down, Twitter feels like the older, open protocols it sits alongside; people forget a company owns it. That resemblance made it easier to spread, the way TCP/IP or SMTP spread.

This is a short, single-argument piece: one analogy, no data, no named studies. It suits anyone who wants the case for why Twitter mattered structurally, not just as a social fad, in about two minutes of reading.
Duration: 1min, Publish Date: Apr 2009, Post: paulgraham.com/twitter.html

You Weren’t Meant to Have a Boss

Big companies split into teams of about ten to make coordination possible, but each team above the individual is really a group of groups, so freedom shrinks the size of the whole tree, not just the group you sit in. A programmer’s job is to build new things, so this hits programmers hardest: legacy code, other teams’ interfaces, and approval chains cut off most of the ideas they’d otherwise try.

Working for oneself, or for one of the first ten employees of a startup, removes that constraint, the way lions in the wild seem “ten times more alive” than the same species in a zoo. Y Combinator founders arrive looking like refugees and three months later seem taller; across more than 200 startups, YC has seen no advantage from time spent at a big company first, only the ordinary benefit of being older.

The claim runs mainly toward ambitious programmers weighing a job at Google or Microsoft against starting something of their own, and toward founders deciding how large to let their company grow.
Duration: 14min, Publish Date: Mar 2008, Post: paulgraham.com/boss.html

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Work, Ambition & Craft

Whole theme: 5 hours.

How to Work Hard

Great work is never effortless. It always takes natural ability, practice, and effort together; skip any one and you fall short of the best work.

Bill Gates took no days off in his twenties. Messi’s coaches remember his dedication before his talent. Wodehouse rewrote sentences ten or twenty times at 74. The limit on hours varies by person and task: five hours a day for hard writing or programming, all day during three years running a startup. Discipline toward externally imposed goals comes easily even to children; the harder skill is working toward goals nobody assigned you, which starts with a felt disgust at wasted time and ends with judging, hour to hour, whether you’re trying hard enough, doing well enough, and working on the right problem at all.

The test for what to work on is whether you find it interesting, not whether it looks impressive or lucrative. That test only works if you’re honest with yourself about your own motives and your own results.
Duration: 17min, Publish Date: Jun 2021, Post: paulgraham.com/hwh.html

How to Do Great Work

Ambitious work follows a repeatable shape: pick something you have both aptitude for and deep interest in, then push to the frontier of that field, notice the gaps in it, and chase the promising ones.

Curiosity does the driving. It picks the field, gets you to the frontier, spots the cracks, and explores them; the specifics come from painters, physicists, Einstein reading Maxwell’s equations, Copernicus and Darwin working in the shadow of a cherished but mistaken principle. Morale, small blocks of focused time, and a willingness to throw away and redo work matter as much as raw effort; the four steps are simple to state, hard to execute.

For anyone weighing whether their own ambition is realistic, this makes the case that ability and interest matter more than luck or permission, and that starting small and evolving beats planning in advance.
Duration: 63min, Publish Date: Jul 2023, Post: paulgraham.com/greatwork.html

Maker’s Schedule, Manager’s Schedule

Programmers work best in half-day blocks; a single meeting can wreck the whole stretch. Managers use time in one-hour slots and treat meetings as free; makers need long, uninterrupted units, and a meeting dropped into the middle breaks the day into two pieces too small for anything hard.

Y Combinator runs on the maker’s schedule, even though every VC operates on the manager’s. Office hours solve the conflict by clustering founder meetings at the end of the day, so they compress the schedule instead of interrupting it. Back in the 90s, working a startup meant programming from dinner to 3am, then handling “business stuff” after sleeping until 11, effectively running both schedules in one day.

Speculative meetings, the “let’s grab coffee” kind, cost a manager nothing but can cost a maker half a day’s work. This lays out the tradeoff for anyone who schedules time with programmers, writers, or founders, so they can see why declining a coffee chat isn’t rudeness.
Duration: 6min, Publish Date: Jul 2009, Post: paulgraham.com/makersschedule.html

The Other Half of “Artists Ship”

Big companies pile up checks after disasters: a supplier goes bankrupt, so every bidder must now prove solvency. Each check has a cost nobody tallies: the best supplier who skips the bid, the good one who falls just short of a threshold set high because raising it looked free.

Joel Spolsky found software under $1000 needs no approval, but above that a committee gets involved, and vetting a committee costs vendors so much they charge $50,000 for what would otherwise sell for $5000. China restricted long trading voyages before 1400 and Europe overtook it; Sarbanes-Oxley added checks meant for General Electric and gutted the US IPO market instead. Three programmers at a startup acquired by a big company went from shipping instantly to a two-week release cycle, and said they’d trade up to half the acquisition price to get instant releases back.

The pattern applies wherever someone proposes a new check without pricing its cost, whether in a company evaluating suppliers or one weighing how much approval to put between programmers and production.
Duration: 8min, Publish Date: Nov 2008, Post: paulgraham.com/artistsship.html

What to Do

One should help people, take care of the world, and make good new things. That third principle isn’t provable, but it holds because thinking is the most impressive thing humans do, and making something is the best proof of having thought well: Newton’s physics counts, and so does a painting, since a copy of a great painting, however skilled, isn’t impressive the way the original was.

For most of history the answer to how to live was wisdom, courage, honesty, temperance, justice, upholding tradition, and serving the public interest, the same for Cicero and Confucius. That answer left out making things because the landowning class asking the question had no choice in their work; Archimedes was admired as a prodigy, not held up as a model to follow. Only in recent centuries have most people had the chance to do what he did.

Raymond Chandler’s pulp fiction and Newton’s curiosity-driven physics both show the same pattern: new work often looks unpromising or impractical at first and turns out to matter anyway.
Duration: 9min, Publish Date: Mar 2025, Post: paulgraham.com/do.html

The Anatomy of Determination

Determination beats intelligence as the best predictor of startup success. Founders with Bill Gates-level smarts routinely achieve nothing, while talent matters more only in purer, single-problem domains like math than in messier ones like organized crime, or startups.

Determination breaks down into willfulness balanced by discipline, aimed by ambition, like two fingers squeezing a melon seed: squeeze unevenly and it spins off sideways. Too much will and too little discipline produces wing flutter, alternating bursts of great work and nothing, which looks like bipolar disorder from outside; too little will against rising temptation lets achievement revert to the mean, the reason Shakespeare’s Caesar feared thin men. Will seems mostly inborn, discipline can be trained, and ambition rises fastest around other ambitious people.

None of this displaces liking the work itself, the third factor alongside talent and determination. Anyone sizing up their own drive, or a founder’s, gets a working model here: which piece is undersupplied, and what narrows the gap.
Duration: 9min, Publish Date: Sep 2009, Post: paulgraham.com/determination.html

Richard Hamming: You and Your Research

Great work is not the product of luck or raw brainpower. It comes from working on important problems, with the courage and emotional commitment to stay on them, and the drive to put in one more hour than the next person.

Feynman, Shannon, and Bode show the pattern: repeated first-class output, not a single lucky strike. Bell Labs data backs the mechanics: Bode’s compound-interest argument on effort, Shannon’s average-random-code proof, Pfann and Clogston building confidence off one early success, and the “open door” correlation between exposure to other people’s problems and later relevance. Ego, personality defects, and closed doors quietly cap what able people produce.

This is aimed at anyone who already has the ability and wants to know what separates good output from work people still cite decades later: habits like Friday “great thoughts” time, working on problems with a real attack, and writing so the next person can build on it.
Duration: 67min, Publish Date: Mar 1986, Post: paulgraham.com/hamming.html

What Doesn’t Seem Like Work?

A watershed moment doesn’t announce itself; it just shows up as the point where something stops feeling like work. The heuristic: whatever seems like effort to everyone else but doesn’t to you is the thing you’re suited for.

The father’s turn came around age 12 in Pwllheli, a small Welsh seacoast town: he started working every problem in a new math textbook the day it arrived, ahead of the class, treating the problems as the reward and the chapter text as mere hints toward them. The same split shows up elsewhere: debugging, which most programmers wouldn’t volunteer for, done gladly by people who like programming; writing papers in college for friends taking classes he wasn’t enrolled in, work that was a relief for them and interesting for him.

The stranger the mismatch feels, the stronger the signal. It offers a question worth asking yourself directly, since the answer rarely surfaces on its own: what looks like work to other people but doesn’t to you?
Duration: 3min, Publish Date: Jan 2015, Post: paulgraham.com/work.html

A Project of One’s Own

A nine year old excited to get home and write his story captures the difference between working on a project of your own and ordinary work: it’s more fun and more productive, closer to skating than walking.

School routes kids toward grades and dutiful, assigned work instead of projects that are theirs, voluntary and self-directed. At Y Combinator, grades didn’t matter for picking startups; what applicants had built on their own did. The Macintosh team, Burrell Smith, Andy Hertzfeld, Bill Atkinson, Susan Kare, worked long hours by choice, the opposite of a sweatshop. Startups and open source both pay off partly because they let skaters recruit skaters and spend all their time skating.

The real obstacle isn’t ability but confidence: fear of failure stops more good projects than overconfidence ruins. What matters is recovering the careless confidence to start, then applying adult self-awareness to keep choosing projects that are actually your own.
Duration: 14min, Publish Date: Jun 2021, Post: paulgraham.com/own.html

Cities and Ambition

Cities send different messages to ambitious people, and those messages shape what you become far more than you’d expect. New York pushes wealth, Cambridge pushes intelligence, Silicon Valley pushes power, and where you live can matter more than raw ability.

The Milanese Leonardo makes the case: fifteenth-century Florence produced nearly every famous painter while Milan, just as large, produced none, though someone born there surely had equal talent. Cambridge now works the same way, with Harvard and MIT nearly adjacent and 20 more colleges around them, while New York’s ambitious professors stay second class until they start hedge funds. The Forbes 400 ratio of New York to California residents shows the shift directly: 1.45 in 1982, .83 by 2007.

This matters most for people who haven’t yet decided what kind of ambition they have, before college, when trial and error in a few different cities is how you find out which message fits.
Duration: 20min, Publish Date: May 2008, Post: paulgraham.com/cities.html

How to Do What You Love

Liking your work is not optional decoration; it’s the mechanism behind doing it well, and most people are talked out of it before they ever test it. Childhood teaches work equals pain, school reinforces it, and adults keep up the pretense that their jobs are enjoyable out of upper-middle-class convention, not truth.

The real traps are prestige and money, especially combined, as in corporate law or medicine. The test that cuts through both: would you do this work unpaid, taking a day job as a waiter to support it. Mathematicians pass; the gender-and-identity papers on Conrad don’t. Gino Lee’s rule, aim for work that makes your friends say wow, works better than chasing strangers’ opinions.

Two paths follow from here: the organic route, gradually shaping a job toward what you like, and the two-job route, working for money to fund the real work, each with its own risks. This lays out a way to test what you actually want against what you’ve only been told to want.
Duration: 24min, Publish Date: Jan 2006, Post: paulgraham.com/love.html

Disconnecting Distraction

Procrastination runs on distractions, and distractions keep getting stronger. Television took fifty years of refinement to become “visual crack”: the average American now watches four hours a day, a quarter of their waking life. The internet is worse, because it still looks like work while you do it.

The danger showed up between projects, not during them, which is why it took years to notice. Rules failed too: limiting internet use to twice a day collapsed the moment real work required more. Treating the urge like a “sentient adversary” that finds any path you leave open, the fix that held was physical separation, a second laptop across the room (the one Steve Huffman wrote Reddit on) with wifi off on the main machine.

This is a personal fix, not a system: one computer for work, one for everything else, visible enough that slipping into distraction sets off its own alarm.
Duration: 6min, Publish Date: May 2008, Post: paulgraham.com/distraction.html

Early Work

Fear of making something lame keeps most people from ever starting ambitious work, and it stops many who do start before they push through the ugly early stage.

That fear isn’t irrational; early versions of great projects often look bad even to their creators. Silicon Valley has developed a counter-custom: treat strange ideas from unknown people as a challenge to your imagination rather than a checklist of reasons they’ll fail. Y Combinator partners see thousands of ideas every six months and learn this the hard way, since missing the one that matters is obvious in hindsight. Working techniques include Hardy’s advice to slightly overexaggerate your subject’s importance, staying slightly overconfident, calling new work “just a sketch” or “a hack,” and surrounding yourself with colleagues on similar projects who can tell an ugly duckling from a baby swan.

This is for anyone starting something new who judges their own early work too harshly, whether a startup, a piece of software, or a proof.
Duration: 14min, Publish Date: Oct 2020, Post: paulgraham.com/early.html

Earnestness

Jessica Livingston and Paul Graham have one word that means more than any other when they size up founders: earnest. It means both the direction and the magnitude of someone’s motives are right, they’re doing the work for its own sake and trying as hard as they can. Most people starting companies want money and fame instead, and that substitution is what separates them from the ones who win.

Earnestness looks like naivete from outside: founders plunge into problems asking “how hard can it be?”, then discover the problem was till recently insoluble. It doesn’t seem to matter in politics, crime, gambling, patent trolling, or academic fields at the bogus end, which is itself a useful filter for choosing where to work. Henry Ford is the historical marker here: business used to resemble robbery, but making money and doing intellectually interesting work have grown steadily more aligned since.

For anyone deciding where curiosity and money actually meet, and why reporters can’t believe founders when they say they care about the problem.
Duration: 10min, Publish Date: Dec 2020, Post: paulgraham.com/earnest.html

Good and Bad Procrastination

The most impressive people procrastinate constantly, just on the right things. Working on nothing, or on something less important, is bad procrastination. Working on something more important than what you’re supposed to do is good procrastination.

Small stuff is anything with zero chance of making your obituary: shaving, laundry, replying to letters. Big work needs long uninterrupted stretches and the right mood, which is why startups run best as a couple of guys in an apartment, before hires turn them interrupt-driven. Richard Hamming’s Bell Labs question sharpens the choice: what’s the best problem you could work on, and why aren’t you?

Big problems are frightening to face directly, more so than the risk of wasted time. The fix is working obliquely, tightening the angle once underway, the way a sailboat sails closer to the wind after starting. Anyone choosing between a clean desk and an ambitious project they enjoy will recognize the tradeoff here.
Duration: 9min, Publish Date: Dec 2005, Post: paulgraham.com/procrastination.html

How to Lose Time and Money

Losing a fortune usually has nothing to do with spending. Someone with ordinary tastes struggles to blow through more than a few tens of thousands of dollars before noticing; trading derivatives can lose a million in the blink of an eye, because moving money into an investment doesn’t trip the alarm that spending it does.

Time works the same way. A day spent watching TV feels wrong within two hours. A day spent answering email produces the same nothing, but no alarm fires, because it looks like work while it’s happening. New behaviors dodge self-indulgence alarms by mimicking virtuous ones, without even being fun.

The claim: build new alarms, for money and for time, since the old ones evolved for hunter-gatherers and don’t cover fake work or bad investing. Written after selling a startup in 1998 and money.
Duration: 4min, Publish Date: Jul 2010, Post: paulgraham.com/selfindulgence.html

Six Principles for Making New Things

A design method produces contempt at first sight, and that contempt is the tell that it’s working. Simple solutions to overlooked problems, delivered informally, starting with a crude version one and iterating fast: this generated the same laughing dismissal for Viaweb, Y Combinator, the essays, and Arc.

Viaweb launched with under 10,000 lines of code and no credit card processing for its first year, while VCs insisted transaction processing was what e-commerce meant; it crushed its competitors anyway. Y Combinator looked inconsequential next to series A rounds and foot-thick term sheets. Reddit’s minimal design read as no design at all, yet it solved the real problem: surfacing what’s new and staying out of the way. Cezanne and Klee are cited as painters who worked the same way.

This is a way of recognizing your own good ideas before the market agrees with you, aimed at anyone doing creative or startup work who mistakes a hostile first reaction for a verdict.
Duration: 7min, Publish Date: Feb 2008, Post: paulgraham.com/newthings.html

Superlinear Returns

Kids and coaches teach that returns match effort put in. In business, fame, power, and knowledge, returns are superlinear instead: a product half as good gets zero customers, not half the sales.

Two mechanisms drive this: exponential growth and thresholds. Startups, bacterial cultures, and scholarship compound, doing well now makes doing well later easier, so growth rate matters more than absolute numbers, which is why Y Combinator tells founders to watch that instead. Thresholds work like a step function, a race won by a fraction of a second, an A-list with limited room in people’s heads. Fame and learning combine both. Newton’s discoveries reportedly outweighed all his contemporaries’ combined.

Since 1970, organizations damped this effect by controlling resources, colleagues, and distribution; that damping has eroded, so variation in outcomes is rising for good and bad. The advice that follows: seek work that compounds, follow curiosity over prestige, take multiple shots because luck still matters, and expect this to suit the already-excellent and the young more than everyone else.
Duration: 25min, Publish Date: Oct 2023, Post: paulgraham.com/superlinear.html

The Right Kind of Stubborn

Persistent people and obstinate people look alike from outside: both keep going after a setback. The difference sits underneath. Persistent people are attached to a goal; obstinate people are attached to their first idea about how to reach it, and that idea is usually the least informed one they’ll ever have, since it came before any real contact with the problem.

The test is what happens when you point out a flaw. The Collison brothers listen with what gets called predatory intensity, hunting for a hole in their own boat. The obstinate glaze over and repeat themselves like doctrine. Persistence turns out to need five things at once: energy, imagination, resilience, good judgement, and a goal specific enough to aim at but not so specific it rules out an adjacent discovery. Obstinacy needs none of that; kids, drunks, and fools are good at it.

Useful for anyone trying to tell, in themselves or someone they’re arguing with, whether digging in is a strength or a failure mode.
Duration: 12min, Publish Date: Jul 2024, Post: paulgraham.com/persistence.html

The Top Idea in Your Mind

What one thinks about in the shower matters more than expected: for anything hard, there’s a kind of thinking that happens involuntarily, and it only works on whatever idea currently sits on top of the mind. Most people have exactly one top idea at a time, and everything else starves for that ambient attention.

Money and disputes are the two thoughts that push out everything else, because both force themselves to the top by their nature: raising money “becomes what you think about when you take a shower,” which is why startups stall for months once fundraising starts. Newton hit the same trap after his 1672 theory of colors, writing to Oldenburg that he’d “become a slave” to defending it against Linus’s circle, five replies and fourteen pages that cost him years of ambient thought.

The fix is indirect control: you can’t steer drifting thoughts directly, but you can choose which situations let money or disputes claim that slot, and cultivate the habit of forgetting injuries fast enough that they never get there.
Duration: 6min, Publish Date: Jul 2010, Post: paulgraham.com/top.html

When To Do What You Love

Working on what interests you most usually costs money, since people pay for what they want, not what you want, unless what you want happens to be what pays.

Bill Gates loved not just programming but running a software company and writing for customers, a strange enough taste to be rewarded. Football works the same way if you’re good enough, and some people have a genuine intellectual interest in mispriced things, a taste close to greed but distinct from it. There’s an exception at the very top: Apple, Google, and Facebook all began as projects their founders did for fun, because the best startup ideas are outliers you’d overlook if you searched for them on purpose. If you’re unsure what you want, staying “upwind,” choosing math over economics, say, keeps future options open.

For anyone aiming to do great work, the calculation stops being complicated: interest is a necessary condition, not a sufficient one, and the answer is yes.
Duration: 8min, Publish Date: Sep 2024, Post: paulgraham.com/when.html

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Writing & Language

Whole theme: 2 hours.

Writes and Write-Nots

In a couple decades, few people will be able to write. Writing pervades prestigious jobs while remaining fundamentally hard, because it requires clear thinking; AI now lets anyone skip straight to the output, in school and at work, so the pressure that used to force people to learn disappears.

Eminent professors caught plagiarizing usually stole mundane boilerplate, proof they were never even halfway decent writers. Leslie Lamport’s line applies: if you’re thinking without writing, you only think you’re thinking. The result is a split into writes and write-nots, which is really a split into thinks and think-nots, the same way an industrial economy split people into those who work out and those who don’t bother getting strong.

There will still be smart people, but only those who choose to be.
Duration: 3min, Publish Date: Oct 2024, Post: paulgraham.com/writes.html

The Best Essay

The best essay tells people something true and surprising about the most important topic available, and that standard collapses into an odd conclusion: the best possible essay at any moment would describe the biggest scientific discovery it was possible to make. Darwin’s 1844 essay on natural selection counts as the best essay of that year on exactly this test.

Writing well means starting with a question you have some edge on, committing to a specific wrong or incomplete answer, then rereading strictly until the gaps force better ideas. Branches get chosen by generality and novelty, not a plan; one 17-paragraph subtree got cut here, with 5 paragraphs reattached. Timelessness splits in two: permanent importance versus staying surprising, since ideas that succeed, like Darwin’s, stop teaching us anything new. Bertrand Russell’s “trial marriage” is dull now because it won and became dating.

This is for anyone who writes to think, not to perform: the payoff is a working method, breadth from reading widely, depth from solving real problems elsewhere, and the reminder that good questions matter more than effort once the questions run out.
Duration: 23min, Publish Date: Mar 2024, Post: paulgraham.com/best.html

Good Writing

Sounding good and being right are not separate qualities in writing. Sentences that flow well are more likely to express correct ideas, because you cannot easily rewrite an awkward passage into something less true: any forced change tends to be a change for the better.

The mechanism has two parts. Rewriting to fix rhythm works like shaking a bin of objects until they pack tightly: an arbitrary constraint, like a section running one line over a page, never makes the writing worse, only better. And a smoother essay is easier for the writer to reread, 50 or 100 times over, catching what “catches” the way someone sanding wood feels for a rough spot. Liars can still write beautifully, but only by half-believing false premises first; what good rhythm guarantees is internal consistency, not truth, though the two converge when the writer is honest.

This applies only to writing that develops ideas, not writing that reports ones already worked out elsewhere, like a paper following an experiment. Useful for anyone who edits their own thinking by editing their sentences.
Duration: 9min, Publish Date: May 2025, Post: paulgraham.com/goodwriting.html

Writing, Briefly

Writing well matters more than most people think, because writing does not just record ideas, it generates them. Someone who avoids writing, or writes badly, cuts themselves off from most of the ideas that writing would have produced.

The method: write a bad version fast, then rewrite it over and over, cutting anything unnecessary. Expect 80% of an essay’s ideas to arrive after you start writing, and half of the ideas you started with to turn out wrong. Read drafts aloud to catch the sentences you stumble on and the paragraphs you dread; ask friends which sentence you’ll regret most; write for a reader who won’t read as carefully as you do, the way pop songs are mixed to sound fine on a car radio. This particular piece took 67 minutes: 23 to write, 44 to rewrite.

A short, concrete checklist for anyone who writes and wants to write better, in about 30 minutes.
Duration: 3min, Publish Date: Mar 2005, Post: paulgraham.com/writing44.html

The Need to Read

Reading teaches two things at once: what a subject is, and how to write. That second part matters because writing is not a transcript of finished thoughts, it is how new thoughts get found. A good writer discovers things mid-sentence that talking them through never surfaced.

This only kicks in for ill-defined problems. Fitting two pieces of machinery together doesn’t need prose; anything solvable formally can be solved in your head. But a messy, open-ended problem almost always yields to being written about, and someone who writes poorly will struggle to think it through at all. Writing well depends on reading well, meaning read good things and extract their meaning, not just decode the words.

Audiobooks give you the ideas but skip this: hearing prose read aloud doesn’t teach you to write it. Anyone after information alone can take a shortcut. Anyone who wants ideas can’t.
Duration: 2min, Publish Date: Nov 2022, Post: paulgraham.com/read.html

Writing and Speaking

Good ideas make writing good: plain words work if you know what you’re talking about. Speaking runs on the opposite logic. Ideas matter far less than delivery, and the two skills often pull against each other.

A prewritten talk divides attention between audience and script, so ad-libbing from an outline engages people better, but it caps how long you can spend on each sentence to how long it takes to say it. Rehearsing closes that gap, the way actors do, but every hour spent practicing is an hour not spent improving the content. And audiences get dumber as they get bigger: reactions spread mob-like past around ten people, so jokes and flattery start to beat substance.

None of this makes talks useless. They work as the closest thing to a conversation with someone too busy to meet you individually, and they’re better than writing at motivating people to act, for better or worse.
Duration: 6min, Publish Date: Mar 2012, Post: paulgraham.com/speak.html

Write Like You Talk

Written language and spoken language are different, and the gap makes writing worse. Complex sentences and formal words let a reader’s attention drift, and they trick the writer into believing they’ve said more than they have.

Experts talking about hard subjects use plain sentences, no more complex than when discussing lunch, because they have less to prove and can’t afford to let words get in the way of the ideas. A sentence like “the mercurial Spaniard himself declared: after Altamira, all is decadence” (from Neil Oliver’s A History of Ancient Britain) would raise eyebrows spoken aloud to a friend, yet whole books are written that way. The fix: read a draft out loud, and replace any sentence you wouldn’t actually say. For anything unfixable sentence by sentence, explain it to a friend out loud and transcribe that instead.

Anyone who manages this lands ahead of 95 percent of writers, since so few bother to check each sentence against how they’d actually say it.
Duration: 4min, Publish Date: Oct 2015, Post: paulgraham.com/talk.html

How to Write Usefully

Useful writing should be correct, but not by hedging into vagueness; academic prose that calls everything “complex” says nothing. It should make claims as strong as possible without becoming false, then survive years of rereading before publication.

Robert Morris’s trick: don’t say anything unless you’re sure it’s worth hearing. Applied to essays, that means deleting bad sentences and abandoning whole paragraphs rather than publishing inconclusive ideas, the opposite of scientific publication bias. Importance and novelty work the same way, using yourself as a proxy for the reader: write about what you find important and what surprises you after thinking about a topic a lot, and it will likely do the same for others. Strength comes from precise qualification, saying “I think” only where certainty warrants it.

This formula, correctness plus novelty plus importance plus strength, also explains why useful essays provoke anger and misrepresentation. It closes by noting most essays remain unwritten, since cheap publishing is new and the form was rarely cultivated before the internet: Steve Wozniak’s unbuilt paper computer designs are the analogy offered for essays written without expecting an audience.
Duration: 16min, Publish Date: Feb 2020, Post: paulgraham.com/useful.html

Putting Ideas into Words

Writing about something reveals that you didn’t understand it as well as you thought. The act of choosing words is a test your ideas usually fail on the first pass; half of what ends up in an essay only occurred to the writer while writing it.

The test comes from reading your own draft as a stranger would: does it seem correct, does it seem complete. Chess players and mathematicians can form some ideas in their heads because those domains use formal language, but essay ideas resist that; two weeks on a piece and fifty rereads of a draft is normal, and would look like a disorder in conversation, which is why talking is looser than writing.

The conclusion follows directly: if writing always sharpens ideas, then no one who hasn’t written about a topic has fully formed ideas about it, and they usually can’t tell.
Duration: 4min, Publish Date: Feb 2022, Post: paulgraham.com/words.html

The Age of the Essay

Real essays don’t start with a thesis and defend it; they start with a question and follow it wherever it leads. That structure comes from Montaigne, who in 1580 called his pieces “essais,” attempts: writing something to figure it out, not to argue a side already picked.

The high school version, thesis plus supporting paragraphs plus conclusion, is a leftover of medieval law training, where rhetoric meant arguing either side well. A real essay works like the Meander river in Turkey: it winds, backtracks, and finds the most economical route by flowing toward whatever’s most interesting at each step. Interesting means surprising, something that contradicts what you thought you knew, the way it turned out no one can say who the best programmers are because you can only judge them by working with them.

This is for anyone who found English class pointless and suspected the problem was the form, not them. The Internet lets anyone publish this way now, judged by what it says rather than who wrote it.
Duration: 26min, Publish Date: Sep 2004, Post: paulgraham.com/essay.html

The List of N Things

Cosmopolitan cover lines like “7 Things He Won’t Tell You” work because a numbered list is easier to read than a real essay: the structure is handed to you up front, the points are independent, and you can skip one without losing the rest.

That same trait makes it easier to write. A talk assembled a few days before deadline, or the classic five paragraph essay (really a list of three, dressed up with “furthermore” and a conclusion), survives even if one point runs dry, because nothing depends on what came before. Restaurants work the same way: order the cheeseburger when you don’t trust the cook. The tradeoff is that a list is fixed at the title; a real essay can turn up an idea you didn’t have when you started, and a list has no room for that.

Useful for anyone who writes on a deadline or teaches beginners, and for sizing up why a headline promising “7 secrets” is baiting you to check its count.
Duration: 7min, Publish Date: Sep 2009, Post: paulgraham.com/nthings.html

The Shape of the Essay Field

Essays need to tell readers something they don’t already know, and there are only three reasons they might not: it isn’t important, the reader is obtuse, or the reader is inexperienced. Writing for smart people about important things means writing, in effect, for the young, since that’s the group least likely to already know it.

Impact equals how much an idea changes a reader’s thinking multiplied by the topic’s importance, and the two trade off against each other: big shifts in thinking usually come on smaller topics, big topics usually only shift thinking a little. The Selfish Gene is the extreme case, recasting genes rather than organisms as evolution’s protagonists. Younger readers have more room to move, so the same essay pays off more for them.

The tradeoff isn’t a conscious calculation; it’s described as a gravitational field every essayist works inside, whether they notice it or not. The takeaway is a question rather than a rule: which important things do people tend to learn late.
Duration: 4min, Publish Date: Jun 2025, Post: paulgraham.com/field.html

Write Simply

Simple sentences and ordinary words make prose easier to read, and the easier it is, the more energy a reader has left for the ideas instead of the words. Writing simply is the goal; fancy writing is a train the reader has to carry.

Complexity often hides an absence of ideas rather than concealing depth: if you say nothing simply, that becomes obvious to everyone, including you. Simple writing also travels better across time and across non-native English readers, whose grasp of ideas can outrun their grasp of the language. The method is blunt: write the first draft fast, then spend days cutting, which strips away the parts that were never the point.

This holds for anyone who writes to be understood rather than to impress, and it doubles as a working method: write fast, then cut hard.
Duration: 3min, Publish Date: Mar 2021, Post: paulgraham.com/simply.html

Ideas, Thinking & Learning

Whole theme: 3 hours.

How to Disagree

Disagreement online has a structure, and most of it sits at the bottom. Twenty years of writers writing and readers reading has given way to comment threads and blog replies, and disagreement dominates because it’s easier to write than agreement: there’s more territory left unexplored.

A hierarchy separates the levels: name-calling, ad hominem (”of course a senator says senators need a raise”), responding to tone, contradiction, counterargument, refutation, and refuting the central point, which requires quoting the actual claim and showing why it fails. Correcting a typo or a minor number while ignoring the argument is ad hominem dressed up as rigor. The levels don’t prove a reply correct, only set a ceiling on how convincing it can be.

Mean comments cluster at the bottom of that hierarchy; real refutation rarely needs meanness. Useful for anyone deciding how to respond to something they disagree with, and for reading past confident-sounding replies that never touch the actual point.
Duration: 9min, Publish Date: Mar 2008, Post: paulgraham.com/disagree.html

How to Think for Yourself

Being right isn’t enough in science, investing, startups, or essay writing. A public market investor who correctly predicts a company’s performance makes no money if everyone else predicts the same thing; the price already reflects it. The only moves worth making are the ones most people think are wrong.

Startup founders live this test directly: writing software for a tiny computer used by a few thousand hobbyists, or renting airbeds on strangers’ floors, both sounded like bad ideas to almost everyone. Independent-mindedness breaks into three parts: fastidiousness about degree of belief, resistance to being told what to think, and curiosity that keeps searching after most people stop. Schools test and rank raw intelligence constantly but never measure this, so most people misjudge which side of the line they’re on.

This is for anyone sizing up a career choice between administrative work, where being right is sufficient, and research, investing, or founding, where being right and alone in it is the only way to win.
Duration: 21min, Publish Date: Nov 2020, Post: paulgraham.com/think.html

Crazy New Ideas

Reasonable domain experts sometimes propose ideas that sound wrong, and those ideas deserve more weight than their surface plausibility suggests, not less.

A reasonable person already knows how their idea sounds, so proposing it anyway signals they know something others don’t. Everyone, including the person having the idea, applies an excessively strict filter to new thinking, which is why Copernicus published heliocentrism in 1532 and the field only came around by the mid seventeenth century. Attacks on new ideas cost attackers nothing and look clever regardless of target, while envy, factionalism, and vested careers (Darwin’s harshest critics were churchmen) push people to dismiss rather than question.

The better response is to ask why the gap exists, since either your model is wrong or theirs is, and both are worth knowing. This favors watching for reasonable experts saying implausible things now, and reading history to see what unfinished ideas looked like before they won.
Duration: 8min, Publish Date: May 2021, Post: paulgraham.com/newideas.html

Keep Your Identity Small

Political and religious arguments go nowhere for a specific reason: no threshold of expertise gates who can weigh in. Anyone with strong convictions qualifies, unlike a Javascript thread, which stays smaller because people feel they need standing to post.

The real driver is identity, not subject matter. A discussion about a battle involving living countries turns partisan fast; the same discussion about a Bronze Age battle doesn’t, because no one knows which side to take. Programming language debates degenerate the same way once people call themselves “X programmers,” which doesn’t mean the question of which language is better has no answer.

The fix follows from the mechanism: let as few things into your identity as possible, since anything you can’t think clearly about includes everything you’ve tied yourself to. Even calling yourself a scientist should commit you to nothing but following evidence, not to any conclusion.
Duration: 5min, Publish Date: Feb 2009, Post: paulgraham.com/identity.html

The Four Quadrants of Conformism

People sort into four types based on how conventional their beliefs are and how aggressively they act on them: aggressively conventional, passively conventional, passively independent, and aggressively independent. Which quadrant someone falls into depends more on personality than on the actual rules around them.

School offers the clearest evidence: tattletales enforce rules, sheep just obey them, dreamy kids barely track them, and naughty kids question them on principle. Robert George’s Princeton students who insist they would have opposed slavery are almost certainly wrong; the aggressively conventional-minded among them would have defended it, since their type responds to whatever rules prevail. Since the Enlightenment, free inquiry has replaced heresy hunting precisely to protect independent thinkers, the ones who produce new science and startups, from the conventional-minded majority. That protection has weakened since the 1980s and again with social media.

This gives independent-minded listeners, particularly scientists and founders, a framework for why their ideas draw punishment rather than argument, and why universities used to be, but may no longer be, the safest place for them.
Duration: 12min, Publish Date: Jul 2020, Post: paulgraham.com/conformism.html

What You (Want to)* Want

Free will survives being made of matter, once “want” splits into layers. You can do what you want, but not want what you want; push further and you can even change what you want to want.

That regress does not go forever. Drug addicts sometimes stop wanting to want their addiction; someone can decide to like classical music or broccoli. But add a third or fourth “want to” and change gets rare fast, the way adding 9s after a decimal point closes in on 1 without reaching it. Three or four levels in, some desire sits at the bottom that you never chose.

The fix is a formula: some statement of the form “you can’t (want to)* want what you want” is true for everyone, with n varying by person and desire. It reframes the free will question as a search for that n, not a yes-or-no puzzle.
Duration: 3min, Publish Date: Nov 2022, Post: paulgraham.com/want.html

Being a Noob

Feeling like a beginner is a sign of learning, not a sign of falling behind: the more lost you feel locally, the more you’re likely picking up globally.

The discomfort has two causes, being incompetent and doing something new, and evolution wired us to hate both the same way, because for most of human history problems repeated rather than changing. Hunter-gatherers never had to figure out cryptocurrency. That wiring now misfires the same way an appetite for scarce food misfires when food is abundant: useful once, a liability now.

The upshot: treat the noob feeling as a measure of how much new ground you’re covering, not a verdict on your competence. Moving to an unfamiliar country makes you feel dumber than staying home, yet you end up knowing more.
Duration: 2min, Publish Date: Jan 2020, Post: paulgraham.com/noob.html

Two Kinds of Judgement

Judgement splits into two kinds. In one, judging you correctly is the goal itself: court cases, grades, competitions, with appeals if you’re misjudged. In the other, judging you is only a means to something else: college admissions, hiring, investment, dating.

Picking 20 players for a national team shows why the second kind isn’t unfair. Get the 20th spot wrong and the 21st best player takes it; if ability follows a normal distribution, the gap between them is smaller than the measurement error. The selector optimized the team, not your individual score, the way a novel buyer picking a potboiler with a racy cover isn’t being unfair to a better book, just uninterested in it.

Realizing most people judging you are closer to a fickle book buyer than a careful magistrate changes how you act: less passivity, less taking rejection personally, more effort spent selling yourself. College applicants are the case made explicit.
Duration: 4min, Publish Date: Apr 2007, Post: paulgraham.com/judgement.html

A Way to Detect Bias

You can detect bias in a selection process without knowing anything about the applicants who were rejected. If a process is biased against a type of applicant, that type had to clear a higher bar to get selected, so among those who made it through, that type will outperform the rest. Check performance after the fact and the bias shows itself.

First Round Capital published exactly this by accident: among its own portfolio companies, startups with female founders outperformed the others by 63%. The catch is a valid performance measure, one not itself corrupted by the bias being tested, and roughly equal underlying ability across the groups compared. The same First Round study also excluded its biggest win, Uber, which studies of outlier-driven returns like startup investing should not do.

Data on who applies is usually locked away, but data on who gets selected is increasingly public, which means outsiders can run this check on institutions whether those institutions want them to or not.
Duration: 3min, Publish Date: Oct 2015, Post: paulgraham.com/bias.html

Alien Truth

If intelligent life exists elsewhere, it would share more than math and physics with us: also things like the principle that a controlled experiment increases belief in a hypothesis, that practice improves skill, and Occam’s razor. These “alien truths” set a target for the most general truths short of math and physics, and possibly for concepts like justice, though that one’s less certain.

The test is generosity: if an idea might plausibly apply to any intelligent being, it counts. Erdos’s “God’s book” gets extended past math to cover this wider set. AIs may eventually let us pin down the threshold precisely, by showing which properties any system we’d call intelligent has to use, but that empirical question is separate from the philosophical one of generating candidate alien truths now.

The search for alien truths is proposed as a good definition, maybe the best one available, for what philosophy should actually be doing, whether or not current philosophers do it.
Duration: 4min, Publish Date: Oct 2022, Post: paulgraham.com/alien.html

Beyond Smart

Being very smart and having important new ideas are not the same thing. Plenty of genuinely smart people in universities and research labs discover nothing. Given a choice between being smart but discovering nothing, or less smart but discovering new things, the second is obviously better, even though it doesn’t feel that way.

If intelligence isn’t the deciding factor, something else is, and much of it can be built rather than inherited. An obsessive interest in one topic is one ingredient. Independent-mindedness is another, mostly inborn but still cultivable. General techniques for working on your own projects, plus mundane factors like sleep, low stress, and good colleagues, round it out. Writing is its own case: some ideas only surface by writing essays, not by thinking first and transcribing after.

This reframes the usual story about smart people who “underachieve.” Instead of fatalism about fixed intelligence, it points to specific, learnable factors, useful for anyone trying to produce new ideas rather than just score well on them.
Duration: 8min, Publish Date: Oct 2021, Post: paulgraham.com/smart.html

Fashionable Problems

Most fields have only been explored along a narrow, fashionable path, even after years of hard work by smart people. A vast amount of space in essays, in Lisp, in venture funding, sits untouched simply because everyone keeps working on the same few problems.

Smart, imaginative people default to conservative choices about what to work on, chasing the same fashionable questions the way others chase fashionable clothes. The fix is to look at fields already declared played out and try a genuinely new angle: if it works, the payoff scales with the size of the field, since a new approach to something enormous covers enormous ground. Loving the work is the real safeguard, since it keeps you going even when a mistake convinces you the problem is too marginal to matter.

This favors people picking a research direction or a company to start, weighing a well-trodden path against an unfashionable one nobody else wants to touch.
Duration: 1min, Publish Date: Dec 2019, Post: paulgraham.com/fp.html

How to Be an Expert in a Changing World

Beliefs about a static world can safely harden with more experience. Beliefs about anything that changes cannot, and change touches almost everything except human nature. Experts go wrong by staying experts on an earlier version of the world.

A decade spent investing in early-stage startups showed a working fix: assume things change, stop trying to predict the direction of that change, and instead stay sensitive to it. Good new ideas often look bad at first, until some shift quietly makes them good; Airbnb read as a bad idea, but the founders were earnest, energetic, and independent-minded, so the bet went ahead anyway. Public, durable commitments sharpen this further: investors who passed on Google remember it for life, because a real yes-or-no bet forces rigor that casual conversation never does.

The payoff is a method, not a prediction: watch people over ideas, treat “crazy” as a compliment, and keep company with the kind of people whose discoveries will make your own beliefs obsolete first.
Duration: 6min, Publish Date: Dec 2014, Post: paulgraham.com/ecw.html

How to Do Philosophy

Philosophy has no core subject matter the way math or history does; it’s mostly a record of what individual philosophers said. The reason: ordinary words break down when pushed too far, and philosophy keeps pushing them past that point.

Aristotle set out in the Metaphysics to study the most general truths, but assumed the most noble knowledge had to be useless, so nothing checked him when he got lost in words. Wittgenstein later showed most philosophical debates trace back to confusion over language, and unclear writing about big ideas draws inexperienced but ambitious students precisely because they can’t tell confusion from depth, the same trap that pulled in a philosophy major freshman year and Sydney Shoemaker’s class on why the self doesn’t exist.

The fix proposed: ask which of the useful things we can say are most general, not which general things are true, using examples like the controlled experiment and Frankfurt’s lying/bullshitting distinction. Anyone can do this by starting specific and working up, no tenure required.
Duration: 27min, Publish Date: Sep 2007, Post: paulgraham.com/philosophy.html

How to Get New Ideas

Good ideas come from noticing anomalies: things that seem strange, missing, or broken. Standup comedy runs on the same move applied to everyday life, but the richest source is the edge of what’s known.

Knowledge grows fractally. From a distance its boundaries look smooth; get close enough to actually work at one and it turns out to be full of gaps, gaps so obvious once seen that it seems inexplicable nobody tried x or asked y. Pushing into one of those gaps can, in the best case, open up a whole new fractal bud of its own.

At three paragraphs and a couple hundred words in the original, this is closer to a note than a talk: the payoff is the reframe itself, useful for anyone doing original work and wondering where to start looking.
Duration: 1min, Publish Date: Jan 2023, Post: paulgraham.com/getideas.html

How You Know

Reading Villehardouin’s chronicle of the Fourth Crusade two or three times leaves almost nothing you can write down afterward, maybe a page. That’s not a failure of reading. What you retain isn’t the text but its effect on your mental models: of the crusades, Venice, medieval siege warfare.

A biography of Hilbert makes the point stick: Hilbert told students “a perfect formulation of a problem is already half its solution.” You can forget where you got that conviction and still carry the conviction. Reading compiles like a program: it works, but the source is gone. Because the compiling happens with whatever state your brain is in at the time, the same book run through you again at a different age compiles differently, which is the case for rereading important books rather than treating “already read” as finished.

The forgetting that felt like wasted effort turns out to be how belief and judgment actually accumulate.
Duration: 4min, Publish Date: Dec 2014, Post: paulgraham.com/know.html

Is It Worth Being Wise?

Wisdom and intelligence aren’t two names for one trait. Wisdom is a high average across situations; intelligence is a high peak in a few. A wise person usually makes the right call; a smart one solves what almost nobody else can, even if they’re erratic elsewhere.

The two used to track together, when Confucius and Socrates could treat wisdom, virtue and happiness as one package. As knowledge specializes, the curve gets more points and the average and the peaks pull apart, so a mathematician who goes to bed dissatisfied most nights, or a physicist department half on Prozac, isn’t a failure of wisdom, just the cost of work with no upper bound. A goalkeeper’s job has a perfect version; a novelist’s doesn’t.

That gap explains why smart people are so often unwise, and why chasing intelligence means indulging your own idiosyncrasies rather than disciplining them away, the opposite of how wisdom gets built. Useful for anyone doing work where the ceiling is open and the discontent that comes with it needs a name other than failure.
Duration: 20min, Publish Date: Feb 2007, Post: paulgraham.com/wisdom.html

Mark Twain: Corn-pone Opinions

A slave named Jerry preached from a woodpile that a man’s opinions trace back to where he gets his corn pone. Opinions are not reasoned out; they are absorbed from the people around us, and self-approval depends on the approval of others.

The hoopskirt shocks a village, then six months later nobody laughs at it, with no argument in between. Dinner tables in England went from six or eight wine glasses per setting to three or four the same way. Political camps split on silver or on the tariff with the same certainty on both sides, each side reading only its own party’s literature, each mistaking feeling for thought.

The account settles for calling this force conformity and naming its cause: not calculation, but the wish to stand well with the people around us. It leaves the reader with a working test for any belief: trace it back and see whether it was reasoned or merely caught from a neighbor.
Duration: 11min, Post: paulgraham.com/cornpone.html

The Bus Ticket Theory of Genius

Genius requires a third ingredient beyond natural ability and determination: an obsessive, pointless-seeming interest in something that happens to matter.

Darwin’s curiosity about natural history on the Beagle voyage looks like the same compulsion that drives bus ticket collectors, except species matter and bus tickets don’t. Ramanujan sat by the hour working out series on his slate for no reason except that he liked it. Newton poured years into alchemy and theology alongside physics; those bets failed, but the one that paid off covered the losses. The obsession works as a filter for ability, since you won’t find series interesting without the aptitude, and as a substitute for discipline, since curiosity pulls where willpower would have to push.

This favors people willing to waste time on what looks unpromising, including kids allowed to go “preposterously deep” on some random interest instead of studying only what school assigns.
Duration: 15min, Publish Date: Nov 2019, Post: paulgraham.com/genius.html

The Risk of Discovery

Newton spent as much time on alchemy and theology as on physics, and his biographies quietly edit that out. The three fields looked equally promising in his own lifetime; only hindsight makes physics look like the obvious bet.

Biographers focus on the physics because that’s what paid off, then credit Newton with unerring judgment for having pursued it. Alchemy and theology read as wastes of time now only because we know how they turned out; in Newton’s day they were, in Marc Andreessen’s phrase, “huge, if true.” He made three bets and one worked, but all three carried real risk.

The pattern applies beyond Newton: smart people aren’t separately smart and crazy, they’re placing bets whose odds aren’t visible until after the fact. Worth thirty minutes for anyone judging their own current work by whether it looks promising yet, rather than by hindsight standards no one had access to at the time.
Duration: 1min, Publish Date: Jan 2017, Post: paulgraham.com/disc.html

What Charisma Is

Charisma is not likable manner or good press. It is a trait voters can spot before a single vote is cast, one that shows up in political cartoons months ahead of election day: once cartoonists start drawing a candidate as boring, that candidate is in trouble, while being drawn as stupid or unprincipled is survivable.

The trait itself is the wish to be around people. Clinton reached over his own Secret Service agents to shake hands, visibly thrilled rather than dutiful; Kennedy kept aides on hand for the sole purpose of company because he couldn’t stand being alone. Kerry’s “patrician reserve” and Gore’s stiffness, by contrast, read as distance. Liking people makes them like you back, the same reciprocity that makes you readier to help a friend who admires you than one who’s indifferent.

This reframes charisma as a predictable, almost physical trait, like height for a basketball player, not a coachable performance. Politicians who merely remember to smile are missing the thing that can’t be faked.
Duration: 3min, Publish Date: Nov 2004, Post: paulgraham.com/recharisma.html

Why Smart People Have Bad Ideas

Good hackers often build the wrong thing first, and the fix is learning to spot it fast. A startup has to make something people will pay for; most founders discover this only after a failed first attempt.

Paul Graham and Robert Morris spent 1995 building Artix, a company to put art galleries on the Web, before art dealers turned out to hate the idea and have no money to pay for it. They abandoned it for Viaweb, software letting anyone build an online store, which succeeded. Bill Gates and Paul Allen did the same: Traf-o-data before Microsoft. Three causes recur: taking the first idea that comes to mind, staying ambivalent about making money, and picking a “safe” underpopulated market out of fear of competition rather than the one customers actually need solved.

Sorting 227 applications for the Summer Founders Program turned up the same pattern: promising people with unpromising ideas, often blogs or dating sites instead of real problems like micropayments or dying newspapers. The fix: make something people want.
Duration: 18min, Publish Date: Apr 2005, Post: paulgraham.com/bronze.html