Paul Graham: How to Earn a Billion Dollars

链捕手Опубліковано о 2026-06-15Востаннє оновлено о 2026-06-15

Анотація

Paul Graham explains how to ethically build a billion-dollar fortune by starting a successful startup, arguing that it's a mathematical result of exponential growth, not exploitation. The key variables are a high monthly growth rate (e.g., 15-93%) and the duration that growth can be sustained in a large market. This growth is achieved by creating a product users love so much they recommend it to friends, leading to viral adoption. Graham, co-founder of Y Combinator, counters the political notion that such wealth is impossible without cheating, using a simple logarithmic calculation to show how rapid, sustained growth quickly scales a small company. He advises young founders to work on projects they and their friends find genuinely cool, as their own unmet needs often predict future mass demand. The best startup ideas often seem bad initially (e.g., Airbnb, Facebook) and emerge organically from deep user empathy, not from consciously searching for a business idea. Ultimately, building immense wealth through startups hinges on understanding and delighting users, not on exploitation.

Author: Paul Graham

In his latest article, "How to Earn a Billion Dollars," Paul Graham, while superficially responding to the political argument that "it's impossible to earn a billion dollars legitimately," provides a clear exposition of the underlying logic of entrepreneurial wealth creation.

In his framework, a billion dollars is not a mysterious figure but the result of two variables: the growth rate and how long that growth can be sustained.

If a company can consistently create products that users genuinely love and are willing to recommend to friends, it has the potential for exponential growth. If this growth occurs in a sufficiently large market, the founder's wealth increase becomes a mathematical outcome rather than a moral puzzle.

This article is also highly enlightening for investors. Because the early-stage pricing of many great companies in the secondary market essentially depends on the same set of questions:

  • Does it truly address a strong need?

  • Do users like it enough?

  • Does the growth have viral potential? Is the market space large enough?

  • How long can the growth curve be sustained?

Therefore, this article is not just about "how to become a billionaire," but also about how to identify exponential companies and why linear thinking often undervalues truly high-growth assets.

The full translation follows.

How to Earn a Billion Dollars

June 2026

This is based on a talk I gave at the Oxford Union.

Since this is obviously a "Future Prime Ministers' Club," I want to talk about something more politicians should understand: how people become billionaires. Even if you aren't planning to go into politics, I hope you'll find this useful. Those who don't become Prime Minister can become billionaires instead.

I know about this because 21 years ago, Jessica and I started a thing called Y Combinator. If you haven't heard of Y Combinator, it's a combination of an investment firm and a school for startup founders. Since we started in 2005, we've funded about 6500 companies.

Starting a successful startup is the most common way to become a billionaire. So in a way, for the last 21 years, I've been training people to become billionaires. So far, about 30 of them have become billionaires, and many more are on their way.

So you can imagine how shocked I was last month when an American politician said "it's impossible to earn a billion dollars." I felt like a figure skating coach hearing someone say "a triple axel is impossible." Of course it's possible. Hard, but possible.

Of course, she didn't mean it's impossible to *be* a billionaire. Obviously it's possible. She also wasn't talking about the difference between income and capital gains. This wasn't about accounting. She meant that no one could get that rich without having done something bad, without somehow cheating.

A few days later, I was talking to a founder we'd funded. As I always do with founders, I started by asking her what her growth rate was. She said last month it was 93%. I pointed out that meant her net worth was also increasing at a rate of 93% per month. She was getting rich at an astonishing rate. And she wasn't doing anything bad. Her startup was growing that fast simply because users liked what she'd made. So from her own experience she could feel how wrong the politician was. She wasn't exploiting anyone. On the contrary. Her startup was growing so fast because she and her cofounder had been working insanely hard to make users happy, and as a result users had started telling their friends. That yields exponential growth.

Later that day, I mentioned her case online, and someone replied that having a few million dollars and growing at 93% a month is a very different thing from being a billionaire.

I suspect a lot of people would agree with that statement. But it turns out not only to be wrong, but to be instructively wrong.

So I want you to do me a favor. Get out your phone and do a calculation. I know this is going to seem stagey, but I promise it will be useful. I'm going to have you do the sort of calculation I do most often as an investor, and the experience will give you a visceral understanding of the nature of startups.

If we take his statement in its most literal sense and assume "a few million" means $2 million, then her company needs to grow 500x for her to become a billionaire. So what we need to calculate is how many months it takes something to grow 500x at a rate of 93% per month.

To do that we need to calculate the base 1.93 logarithm of 500. The easiest way is to go to Google search and calculate it directly. Open Google search and type log(500, 1.93). If you type that correctly, the answer should be about 9.45.

That's the number of months it would take to go from $2 million to a billion at 93% monthly growth. A few million dollars and a 93% growth rate are not, in fact, very far from a billion dollars. They are nine and a half months apart.

Now you see why when I meet founders, the first question I always ask is what their growth rate is.

But I don't want anyone to accuse me of using unrealistic numbers, so let's try a more conservative growth rate. See what happens at 15% per month. This is not at all rare. I often see startups growing at 15% per month.

If your revenue grows at 15% per month, what is it after 5 years? To compute that, we need to calculate 1.15 to the 60th power, because 5 years is 60 months. So again, go to Google and type 1.15^60. The answer should be about 4384. Which means that after 5 years, your startup's revenue would be 4384 times what it is now. If you're now doing $10k a month, after 5 years you'd be doing about $44 million per month, or about $526 million per year. By then, if you own the fraction of the company that founders typically own, you'd be a billionaire.

In the real world, growth rates tend to taper off a bit. A very successful startup might grow faster than 15% per month in year 1, and slower than 15% per month in year 4. But the outcome is roughly the same. If you start a startup in your early 20s, it's definitely possible to be a billionaire by your early 30s. Hard, but possible.

I wanted you to do the calculation yourselves because now you understand one of the reasons people start startups. Exponential growth is like magic. It produces results that seem impossible. And because of that, some politicians distrust it. They don't understand the math of exponential growth, so when they see someone getting what seems to them "impossibly rich," they assume the person must have cheated.

But you at least now understand from having done the calculation yourself that you don't have to cheat to become a billionaire. You've seen for yourself that there are only two numbers in the calculation: the growth rate, and how long it lasts. If it's impossible to become a billionaire without cheating, then which of these two numbers is supposed to be impossible? A growth rate of 15% per month certainly isn't impossible; startups achieve that all the time. How long you can grow at that rate depends on the size of the market. Obviously if you're going to grow 4000x, there have to be at least 4000x as many potential customers. But that's all you need. How could you even cheat to increase the size of a market?

If all you're going to be is Prime Minister, you can stop listening now. We've proved that it's in fact possible to earn a billion dollars, because it depends only on two numbers, one of which startups often achieve without cheating, and the other of which cheating couldn't possibly affect.

But if you really do want to be a billionaire, we should get into more detail. Especially about the first number, the growth rate. To grow at a consistent rate month after month, you have to make something that people like enough to tell their friends about. And in fact, this is another reason I always ask founders first about their growth rate. The growth rate shows whether they've made the right thing.

So concretely, how do you make something that people like enough to tell their friends about?

The problem with market economies, and the great thing about them, is that it's hard to make something customers want but don't already have. Once a new, satisfiable need is discovered, people swarm to satisfy it. So you have to discover a need that other people don't know about yet.

How do you do that?

By feeling the need yourself.

You are young. Usually young founders should make what they themselves want. You don't have enough experience yet to know what other people need. But at the same time, your own needs are especially valuable because they are future needs. You're at the age when people start using new things. The things you and your friends start using now, everyone will be using in ten years. Since your intuitions about other people's needs are usually a bad signal, and your own needs are an especially valuable signal, you should usually listen to the second signal. You should make what you and your friends want.

Making what you and your friends want doesn't mean you have to make consumer products. Maybe you and your friends are molecular biologists and there's something cool to do with DNA that everyone else is overlooking. Maybe you and your friends are into drones. The idea does not have to be widely appealing at first. It really just has to appeal to you and your friends.

Don't worry about the second number, the market size. Since you're presaging future needs, the market will grow. And it's always possible to expand into adjacent markets. All you need is a beachhead in the territory of unsatisfied needs, and you can expand from there.

How do you get ideas like this?

The answer is one of the most counterintuitive things about startups. And there are already many counterintuitive things about startups. The way to get the best startup ideas is not to look for startup ideas. If you try to look for startup ideas consciously, it makes you too conservative. You prune away the outliers. Because the best startup ideas often sound terrible at first. If you're looking for startup ideas consciously, you'll reject them. And that's why they've been undiscovered.

Think how bad Apple or Facebook or Airbnb sounded at first. Who wants their own computer? How could a company make money by letting college students peek at each other online? Who would pay to sleep on an air mattress on someone else's floor? It's easy now to rewrite history because we know what those ideas became. But I remember very clearly how bad Facebook and Airbnb sounded at first. We funded Airbnb, and we thought the idea was terrible. We funded them only because we liked the founders.

So how do you find startup ideas without looking for them?

Work on projects with friends.

That's how the best startups happen. They didn't even start out as companies. They were just things people built because they seemed cool. Apple, Google, and Facebook all started that way. None of them was designed initially to be a company.

This works for the reason I said earlier: you presage future needs. So if you just work on random things that seem cool to you, what you produce is actually far from random.

It's one of those cases where your unconscious mind knows more than your conscious one. Any project that genuinely makes you think "that would be cool," no matter how preposterous it sounds, has a high probability of leading to a good startup idea. The thing you make cannot be more preposterous than a startup we funded in 2006 called Justin.TV. Its content was a guy named Justin Kan with a camera strapped to his head walking around and broadcasting everything that happened to him. That startup turned out pretty well. In fact, you've probably heard of it, though it later changed its name: Twitch.

The key to starting a successful startup is to understand a group of users so well that you can make what they really want. If you're young, you can, and should, use a trick: make something for yourself. You understand yourself. But this is just an instance of the more general rule. Only by understanding users very deeply can you make something they like enough to tell their friends about. And only that yields the exponential growth a startup needs to be really successful.

There are other ways to get rich besides starting startups. And some of them do require you to exploit people. But startups are the most common way to become truly rich. And if you want to start a successful startup, the key is not exploitation but empathy. What do users really want? What can you do for them that makes their lives significantly better? That empathy is the thing we look for in founders, and the thing we cultivate in the founders we admit.

How people get rich in your society is one of the most important questions in understanding it. You can't let ideology, or movies, or historical cases from centuries ago, decide what you think about it. You have to look at the world around you and see clearly how it actually happens. If you want to do it yourself, you'll obviously be forced to understand how it happens. So I'm less worried about you. I'm worried about the future Prime Ministers. You need to remember this talk. So I'll summarize the key ideas for you.

There are two things that determine how big a startup can become, and thus how rich its founders become: the growth rate, and how long it can grow. You get the first by making something users like enough to tell their friends about. You get the second by being in a big market. If you grow exponentially and you're in a big market, your startup becomes valuable and you as a shareholder become rich. You don't have to cheat to make this happen. It happens automatically as long as you keep making customers happy.

Пов'язані питання

QAccording to Paul Graham, what are the two key variables that determine if a founder can become a billionaire?

AAccording to Paul Graham, the two key variables are the growth rate of the startup and how long that growth can be sustained.

QWhy does Paul Graham argue that it's possible to earn a billion dollars without doing anything wrong?

AHe argues that if a company makes a product users genuinely love and recommend, it can achieve exponential growth. In a large enough market, the founder's wealth becomes a mathematical result of this growth, not a moral issue requiring cheating or exploitation.

QWhat is the primary method Graham suggests for young people to discover good startup ideas?

AGraham suggests that the best way to discover startup ideas is not to consciously look for them, but to work on projects with friends that they personally find interesting or cool. This leverages their own needs, which often signal future mass-market demands.

QWhat does Graham identify as the key to achieving a high growth rate for a startup?

AThe key to achieving a high growth rate is to make a product that users like so much they are compelled to recommend it to their friends, leading to exponential, word-of-mouth growth.

QWhat analogy does Graham use to express his surprise at the political claim that earning a billion dollars is impossible?

AHe uses the analogy of a figure skating coach hearing someone say 'a triple axel is impossible,' implying that while becoming a billionaire is difficult, it is demonstrably achievable through legitimate means, just like a complex athletic feat.

Пов'язані матеріали

2029 Finale Prediction: When Cryptocurrency Completely "Vanishes", Who Can Remain in This Financial Upheaval?

By 2029, the crypto industry will have transformed into a largely invisible but foundational layer for traditional finance. This timeline outlines the key shifts from now until then. By mid-2026, the most sought-after assets on-chain will not be traditional tokens, but synthetic perpetual contracts for private, high-growth companies (like SpaceX, OpenAI). These become primary price discovery tools, highlighting the market's craving for real-world asset value. Most altcoins enter a sustained bear market as their fundamental lack of asset-backed value is exposed. In late 2026, the "AI + Crypto" narrative largely fades as AI giants prove they don't need crypto infrastructure, except for prediction markets betting on model performance. Simultaneously, a quiet but significant wave of tokenization for institutional assets (money market funds, private credit) begins. The industry splits into a noisy speculative economy and a silent institutional one. Throughout 2027, major public blockchain foundations pivot decisively to serve institutional clients, building compliance toolkits and sales teams. However, key sectors hit growth ceilings: private perpetual contracts are legally restricted from public promotion, stable币 growth is capped by looming political uncertainty, and tokenization projects remain cautious. In 2028, following a U.S. election assumed to maintain a regulatory (not prohibitive) stance, a pivotal change occurs. After a major liquidation crisis exposes the flaws of synthetic contracts lacking a real-asset anchor, new regulations allow the *public solicitation* of private security sales (secondary market shares) to accredited investors. This creates a legitimate, direct on-ramp for retail capital into previously illiquid private equity. By 2029, the resulting bull market is driven by trading in real, innovative company shares (biotech, robotics, AI labs), not speculative tokens. "Crypto" as a distinct asset class recedes; it becomes the mundane, unseen plumbing for this new global private markets infrastructure. Tokens that survive are those capturing real cash flows from this infrastructure. Speculation persists but is marginalized. The core questions posed at the start are answered: token value is tied to legally enforceable claims on real assets, frontier tech adoption happens via private market channels, and crypto's absorption into traditional finance is marked by its becoming boring and invisible. The key validation for this entire thesis is whether, by late 2028, a legal pathway exists for ordinary accredited investors to access private assets directly.

marsbit28 хв тому

2029 Finale Prediction: When Cryptocurrency Completely "Vanishes", Who Can Remain in This Financial Upheaval?

marsbit28 хв тому

After the U.S. Banned Fable 5, Zhipu's Stock Soared 47%

On June 15, Chinese AI company Zhipu's stock surged up to 47.6% in Hong Kong, closing with a 32.82% gain. This sharp rise followed two key industry events. On June 12, Anthropic was compelled by a U.S. government export control order to suspend global access to its latest flagship models, Claude Fable 5 and Claude Mythos 5, impacting developers and businesses reliant on them. The next day, Zhipu announced it was opening access to its new open-source flagship model, GLM-5.2, for all Coding Plan users, with API and model weights (under the MIT license) to follow. The Anthropic incident highlighted a critical shift in the AI industry: beyond raw capability, the stability, continuous accessibility, and control over AI models are becoming equally vital, especially as AI integrates deeper into business workflows. Zhipu's move, emphasizing that "frontier intelligence should not belong to a few nor be subject to arbitrary revocation," positioned its open, accessible model as an alternative. GLM-5.2 focuses on "Long Horizon Tasks" with a 1M context window, aiming for consistency in complex, extended projects. Market analysts suggest this event exposes the risk of dependency on closed-source models subject to single jurisdiction policies, potentially accelerating a shift toward domestic base models and localized deployments. The investment response indicates a new valuation metric is emerging—prioritizing which companies can provide AI capabilities that are not only advanced but also reliably and sustainably accessible.

marsbit30 хв тому

After the U.S. Banned Fable 5, Zhipu's Stock Soared 47%

marsbit30 хв тому

PANews Column Registration and Article Submission Guide

"PANews Column Registration and Submission Guide" provides instructions for users to register as columnists and publish articles on the PANews platform. Key application requirements are emphasized: content should focus on in-depth analysis within Crypto, Web3, blockchain, data, and viewpoints. Content primarily for brand/product introductions will not be approved, and heavily AI-generated content will be rejected. Promotional (PR/soft) content is directed to the business channel. **Registration Process:** * **Web:** Go to the official website footer, click "Apply for Column," and register with a phone number or email (login via verification code, no password). Fill in the column name, description, upload an avatar, and submit links to previously published work. * **Mobile:** Navigate to "My" -> "Contribute & Create" and complete the form. **Article Submission Tutorial:** 1. Log in to the PANews website. 2. Access the "Creator Center" from your personal homepage. 3. Use the editor to create and publish articles. **Video Upload:** The platform supports embedding videos from third-party sites (e.g., Bilibili). Copy the embed code from the source video, use the editor's "Insert/Edit media" button, paste the code under the "Embed" tab, and adjust the display size (recommended: width 100%, height 560px). **PANews Skills (AI Agent Tool):** PANews offers an official AI Agent skill set called PANews Skills, enabling AI tools to query platform content, track trends, and publish column articles directly. It includes three main skills: 1. `panews`: For tracking daily must-read lists, popular articles, and funding news. 2. `panews-creator`: For managing columns, publishing articles, and uploading images. 3. `panews-web-viewer`: For parsing PANews webpages into Markdown. These skills are compatible with various AI Agent tools (OpenClaw, Cursor, Claude Code, ChatGPT, Gemini, etc.). To use the `panews-creator` skill, users must obtain a specific authentication value from the PANews website after logging into their columnist account.

marsbit40 хв тому

PANews Column Registration and Article Submission Guide

marsbit40 хв тому

I Built Myself an Investment Workbench Using AI

For the past two weeks, I've been immersed in Vibe Coding—using AI to write code from natural language descriptions. This process has enabled me to quickly build functional tools that address long-standing personal ideas. Previously, I had many concepts but found execution too cumbersome. Key ideas included a unified dashboard for assets across US stocks, Crypto, HK stocks, and A-shares; a real-time alert system for price movements; an investment map visualizing sector relationships; and a tool to correlate prediction market bets with news and market data. Traditional development hurdles meant these often remained unrealized. Using AI (Codex, Claude Code, and DeepSeek API), I built four initial tools: 1. A **Cross-Market Asset Dashboard** showing total assets, daily P&L, and holdings by market, with added features for alerts and sector mapping. It's deployed locally for privacy. 2. A **Prediction Market (PM) Monitor** tracking bets on events (e.g., company valuations) and correlating probability shifts with news and market movements. I categorize bets by conviction to filter noise. 3. A **Simple Operations Backend** for managing my writing workflow (topics, progress, publishing). It's cloud-deployed for mobile access. 4. A **One-Click Formatting Tool** that automates converting drafts into various platform-specific formats, saving manual effort. While these tools are basic, they represent a significant shift: AI lowers the barrier to creating personalized systems. I believe individual investors can now feasibly build core systems for: * **Asset Observation** (tracking holdings and changes) * **Signal Monitoring** (watching for key market shifts) * **Sector Mapping** (understanding network relationships within a sector) * **Performance Review** (documenting rationale and outcomes) The power of Vibe Coding is its fast feedback loop. Ideas can be implemented, tested, and iterated on rapidly, turning "want-to-do" into "done." This marks the start of my new phase, where I'll share investment thoughts, tool tests, on-chain operations, and educational Web3 content.

marsbit56 хв тому

I Built Myself an Investment Workbench Using AI

marsbit56 хв тому

Торгівля

Спот
Ф'ючерси
活动图片