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London, England
Joined March 2019
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My parents came to this country as immigrants and built a life. The promise that made that possible, the idea that you can build something from nothing if you solve a real problem for real people, is the most powerful engine of upward mobility on earth. AOC’s narrative doesn’t touch the billionaires she’s describing. They’re already rich. Her words reach the kid in the Bronx, the kid in Fremont, the kid from an immigrant family who might have built the next Airbnb but just heard from a congresswoman that it’s impossible. The path to a billion dollars is the same as the path to a functioning company: make something people want. And nobody needs AOC’s permission to start.
AOC says you can't earn a billion dollars. But Paul Graham, who spent 20 years predicting which founders become billionaires, has the evidence to prove her wrong. garryslist.org/posts/yes-you…
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BREAKING: Claude can now build your entire personal wealth operating system better than most financial coaches. Here are 7 prompts to automate clarity, growth, and calm:
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Don't join a company or industry that has contempt for its customers. You can make a lot of money that way, and of course it gives you a feeling of superiority, but you'll never do great work for a market you despise.
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"Startups take off because the founders make them take off." Paul Graham on doing things that don't scale:
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Don’t just lie flat on the ground because AGI is here and ASI is coming. Your hands are multiplied. Your ideas must be brought into the world. Your agency will drive the machines of loving grace. Your taste will guide the future. To the stars.
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About 6.5% of recent YC batches become worth $1B or more. About 25% of those go on to become worth $10B or more. There is no other place you can go where you have this kind of ability to meet these outliers all in one place four times a year: YC Demo Day
Every time I do a "venture fund modeling" exercise I essentially reach the same conclusion: If you get a $5B+ outcome, nothing else matters. If you don't, nothing else really matters either.
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Actual traits of successful founders: Good at building. Genuinely interested in the problem. Very determined. Talks a lot to users.
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the best way to get good at something is usually to just practice actually doing the thing in question. a lot of very capable people outsmart themselves with complex plans that involve working a lot on fake prerequisites.
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What is the path to startups worth billions of dollars? Great startups are not born. They are forged. Tracking their origins gives you a peek at what your journey might be like. youtu.be/HB3l1BPi7zo?si=MzOF…
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At the YC Alumni Reunion, I got lots of questions from new founders about how to build a successful company, but realized that they all had the same answer. And it’s this: ————————————————— DO TOO MUCH As a new founder, I’d often look at the CEOs of successful companies and wonder, “How do they do it?” As Scale grows and as I learn on the job, I’ve come to realize that leaders of great organizations never just do it. They overdo it. As a leader, you are the upper bound for how much anyone in your company will care. You need to do more, care more, attempt more than would seem reasonable. It will seem like overkill. But too much is the right amount. This is true in big and small ways. - What people say is overoptimism is just optimism. - What people say is overcommunicating is just communicating. - What people say is overdelivering is just delivering. - What people say is micromanagement is just management. - What people say is ruthless prioritization is just prioritization. Actually living this way will seem crazy, and that’s ok. There is no Apple without Jobs’s “obsessive” attention to detail. There is no SpaceX or Tesla without Elon’s “maniacal” drive for execution. I have never seen ordinary effort lead to extraordinary results. If we had not done too much, Scale would not be the company it is today. When AI really started to take off in 2022 and “generative AI” became a thing, within 6 months Scale shifted the vast majority of our team to working on generating data for scaling LLMs. Most companies would go through quarters of bureaucratic planning cycles and only move after a competitor started eating their lunch. In our case, the change was drastic and abrupt — some might say jarring or extreme. What people might have reasonably described as overreacting was just reacting. And in hindsight, that reaction to developments in AI was what made Scale’s subsequent path possible, including growing 4X over the last year. What we’ve accomplished to date represents the compounded results of everybody embracing the culture of overdoing. Scale will do things incumbent companies wouldn’t, because it’s simply too scary or painful, but others not going to the same lengths is a feature not a bug. Creating something meaningful is a beautiful, and yes, scary and painful thing. And if you’re not overdoing it, you’re underdoing it.
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If you're worried about debt, we can help. You can call us for free on 0800 043 40 50 or speak to us via webchat at debtadvicefoundation.org/sta…
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We know #ItsComingHome and #SouthgateYoureTheOne might seem like good passwords and easy to remember… But the NCSC recommends choosing three totally random words to make it strong enough and long enough. ncsc.gov.uk/collection/top-t…
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YC is coming to the UK! We’ll be visiting London and three universities in the UK – Cambridge, Imperial, and Oxford. If you’re interested in starting a startup, or are in the early stages of building one, we hope to see you there. ycombinator.com/blog/yc-in-t…
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Building in AI? Here are gems from a comprehensive talk by @sama at @OpenAI, from the @ycombinator alumni reunion weekend: Most important lessons from early days of building: 🔸Thinking long term will take you far. Open AI experienced [many] pivots. From robotic arms to nuclear energy research, to gaming. Over several years, it became obvious that the problem to solve was the comprehensive thinking bit for AGI vs figuring out how to build tendons for robots. 🔸Repetitive failure - Sam’s first startup failed and he's had first-hand knowledge of failure being a YC partner observing hundreds of startups. Startups experience [many] near-death experiences; eventually though they figure it out, important to build the failure muscle with time. 🔸Recruiting: Spending time with people that are impossible to bring on board. Sam and leadership hired AI researchers when it wasn't obvious that it was the right route to go. With time, one researcher had a breakthrough with a large language model, and every other team humbly decided to shut down their projects and focus here. This [eventually] became Chatgpt. On GPT 5 and 6: 🔸GPT 5 and 6 will do a more reliable job, with better personalization, with multi-modal outputs. However, it will still fall far short of an AGI. 🔸Future models: getting costs down and reliability up. 🔸So far, scaling laws have applied to large language models, it’s been a transistor like moment with Moore’s law. Scalability and market forces will allow models and the GPT API to become cheaper. AGI and what the future holds: 🔸We’ll go through some degrees of self identity crises as a society but not as bad and not as chaotic as people initially thought. We've gone through cycles of this many times over. 🔸Can the models crack reasoning, and develop net new knowledge over time? 🔸Sam has never felt like he was talking to a human for the most advanced AI and tech he’s seen demos of. 🔸People have forgiveness for humans making mistakes but not for computers. Computers are held to a different standard. Builders should be wary of this. Where Sam wants to see more research: 🔸AI medical advisor - the amount of value that it will unlock for society will be huge. 🔸AI personalized one on one tutor. Teaching and tutoring at a hyper-personalized scale.
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nothing like a YC reunion w/thousands of alums to make it feel like SF is best place to be in the world
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YC Alumni Reunion Day - looking forward to seeing everyone!
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It's September 1st, and the start of the new academic year is nearly upon us! Who had a great Summer? ☀️ UKMT challenges are starting again soon with the Mathematical Olympiad for Girls and the Senior Mathematical Challenge. Who's excited?! #UKMT #Maths #Challenges
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We currently use a 6-digit or 7-digit number (FRN) to uniquely identify firms, and 6-digit Product Reference Numbers (PRNs) to identify funds. You can use this number to search our Financial Services Register. fca.org.uk/consumers/financi…
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