founder, techno-optimist, college dropout, partner at @ycombinator.

San Francisco
Yesterday we hosted 400 top university students at the YC Summer Conference - a fun day of talks about startups.  Talking to the students afterwards, I found myself giving a lot of the same advice. So in case it's useful to others, here is my startup advice for students.
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My favorite company in the current @YCombinator batch is the @DreamscaleLabs (YC F26) team. Four college dropouts Eric, Chris, Kevin, and Antoine working on cloud inference for robotics. This is almost all done at the edge right now, but will be a ginormous market in a few years as humanoids and other robots ramp up and will wanna run real-time inference that is far more powerful than can be done on the edge. Go team! 🤓👌 @eternaI_entropy, @KDog112358, @pentestduck, @AntoineNeedGPUs
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I enjoy looking at the Nox Metals revenue growth chart since production day 1.
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My dear American friends, in my last post I gave you a snapshot of where France stands today. Now let me show you how we got here. I want you to see the whole movie before you buy the ticket. After the war, France was a machine. We called it the Trente Glorieuses, thirty glorious years. We built Concorde, the most beautiful aircraft ever made. We built a fleet of nuclear reactors in about fifteen years and gave ourselves some of the cleanest, cheapest electricity in the world. We built Ariane and put Europe in space. We built the TGV, the fastest train on earth. We invented the Minitel, an online network in millions of homes before most of you had heard of the internet. We were not a museum. We were builders. Then came 1981. François Mitterrand. Think of him as our Bernie Sanders, except he actually won. At his side, in the office next to his at the Élysée, sat a 37-year-old prodigy named Jacques Attali, his special adviser for the next ten years. The brightest minds of the left, convinced they could run an economy from a ministry. Here's what they did. They governed with Communist ministers. In 1982 they nationalized dozens of banks and the biggest industrial groups in the country: Paribas, Suez, Saint-Gobain, Thomson, Pechiney, Rhône-Poulenc. They lowered the retirement age to 60. They cut the work week to 39 hours and added a fifth week of paid vacation. They created a wealth tax. They hired massively into the public sector. Reality hit in less than two years. Capital fled, inflation ran wild, and the franc was devalued three times. In March 1983 Mitterrand had to slam on the brakes and impose austerity just to stay in the European monetary system. But here's the trick: the brakes never reversed anything. They just slowed the ratchet. The so-called right came back with Jacques Chirac, and nothing was undone. Under Chirac's presidency, France passed the 35-hour work week. Left or right, every government added one more program, one more rule, one more tax, and nobody ever took one away. At the same time, the political class did something even more destructive than bad economics. It turned the youth into a political instrument. Instead of teaching young people, including millions of children of immigrants, to love the country they lived in, it taught them a story of guilt and grievance: France as the oppressor, France as the thing to resent. You cannot integrate people into a country you've taught them to despise. We are living with the consequences of that narrative today, in our schools, our suburbs, our streets. Then forty years of slow decline, all the way to Macron. And the story has a perfect ending. In 2007, Jacques Attali chaired a commission on how to unleash French growth. Its deputy rapporteur was a young civil servant named Emmanuel Macron. The commission proposed more than 300 reforms to free the economy. Almost none were ever implemented. Even the men who built the system knew it wasn't working, and even they couldn't undo it. No balanced budget since 1974. Public spending around 57% of GDP. Debt above 3,300 billion euros. Growth stuck under 1%. Now the number that should keep you up at night. In 1995, GDP per person in France was about $27,000. In America, about $29,000. We were neck and neck. Today France is around $49,000. America is around $90,000. You are now nearly twice as rich per person as we are. What changed? Not our talent. Not our engineers. Not our schools of mathematics. The only thing that changed is that we went all in on socialism. The 35 hours, the endless regulation, the taxes that chase out anyone who builds, the belief that the state should do everything and the individual should ask permission for everything. There's a line people love to attribute to Einstein: insanity is doing the same thing over and over and expecting different results. We tried. For forty years, we tried. Every government promised that one more program, one more tax, one more regulation would finally fix things. You just saw where it got us. So if you choose the Democratic Party, which is literally turning socialist in front of your eyes, you will deserve what comes next. Let me tell you exactly what will happen if you go down that road. Nobody will vote for decline. Every single measure will sound generous, compassionate, reasonable. Your builders will slowly leave or stop building. Your state will grow every year and never shrink. Your debt will compound. And in thirty years, your kids will look at a chart like the one I just described and wonder when it all went wrong. You still have something we lost. You have Elon Musk sending rockets to orbit and landing them on their tail. You have Palmer Luckey building the defense industry of the future. You have Jeff Bezos, Jensen Huang, and thousands of founders nobody has heard of yet, building in garages right now. Trust your entrepreneurs. Don't trust your politicians. I come from your future. Don't make it yours.
I’m French. I want to talk to Americans who are about to vote Democrat. Not to insult you. To warn you. I come from your future. In France we did everything your progressive politicians promise. Free healthcare, free college, generous welfare, strong unions, heavy regulation, high taxes on the rich, a state that takes care of everything. Public spending close to 57% of GDP, one of the highest on the planet. On paper, it’s the dream. Here’s what it looks like from the inside. France hasn’t passed a balanced budget since 1974. Our debt is above 3,300 billion euros. Interest on that debt is becoming one of the biggest items in the national budget. Our hospitals are collapsing despite record funding. Our schools rank lower every year. Young people with degrees can’t afford an apartment in the city they were born in. Our best engineers leave for London, Zurich and San Francisco. And the rich you wanted to tax? They left too, and took the jobs with them. The promise was protection. The result is stagnation. The worst part is that nobody in France voted for decline. Every single step sounded generous, compassionate, reasonable. One more program. One more regulation. One more tax to fund it. Each step alone makes sense. Fifty years of them, and you wake up in a country that can no longer build a nuclear plant on time or keep its streets safe. I love America because it’s the one place on earth where people still believe they can build something from nothing. I came to Silicon Valley as a self-taught kid and it changed my life. That spirit is the most precious thing your country has. Before you vote, ask yourself one question: is the program you’re voting for making America more like America, or more like France? Trust me. You don’t want to be France.
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1/ muse spark open is the most capable US open-weight model to date. 816B total params, 42B active. 1M-token context. natively multimodal. built for coding and agentic work like long-horizon tasks, hard software engineering, multi-step reasoning. america! 🇺🇲
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Two PhDs pouring peroxide into strangers' hot tubs. Our parents were so disappointed. In Dallas, @TungstenSeanide and I loaded peroxide from our reactor into his Subaru and drove it to the city's float spas. On weekends we poured the chemicals into people's hot tubs ourselves. It was full service. Then the reactor started making about $10,000 a month. For two guys with day jobs, that was like an infinite amount of money. We knew we had something real, so we looked up @ycombinator. At the time, YC didn't have much of a track record with hard tech.
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2027 will be the year of the personal agent. It has finally found PMF with Instinct, Muse & Grokbot. This will cause a tsunami of customer enquiries — it’s now essentially free for a customer to send hundreds of emails, texts and phonecalls to make a single purchase. Businesses will need AI customer service tools to save themselves from drowning.
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“Build something agents want”
Select 26 Hackathon at the YC office last week was the perfect way to conclude Select 26. Amazing vibes, amazing sponsors, and amazing projects. Thanks everyone who participated, and we hope to see you all again next year!
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Most robot startups, even well funded ones, are still doing R&D. Ultra's shipping. Their robots are out there in the field doing necessary work every day.
Robotics has a distribution problem. Today, Ultra is announcing $62M in funding to solve it, including a $50M Series A led by @hiFramework. We believe that deployment is the bottleneck in robotics. It’s relatively easy to make a robot look impressive in a controlled environment. It’s much harder to put a robot into the open world, make it useful, keep it running, earn the trust of the people working alongside it, and do that over and over and over again. So that’s what we’re focusing on.
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Cisco is going through one of the most remarkable AI transformations, and not many know about it. Two years ago, Cisco quietly started a new business - AI infrastructure for hyperscalers - and it went from 0 to a $9B business in two years. @jpatel41, Cisco's President, joined Cisco 36 years in and runs it like a late stage co-founder. This is the wild story of how he's going Founder Mode on an 80,000 person company.
Jeetu Patel is Cisco’s President and Chief Product Officer, helping turn one of the world’s largest technology companies into what he calls “the world’s largest startup.” Cisco is now positioning itself as the picks-and-shovels company for the AI era, spanning networking, security, silicon, and infrastructure. Its AI infrastructure business went from zero to $9.3B in orders in just two years. In this episode of Main Function, Jeetu joins YC's Jared Friedman to talk about bringing a founder mindset to the company, and what the massive data center buildout looks like from the inside. He also shares the unlikely path that took him from waiting tables at Sizzler to leading product at Cisco, and the lessons he’s learned about ambition, compounding, and making the most of the opportunities in front of you. 00:00 — Cisco’s Bet on AI 03:38 — Running Cisco Like a Startup 06:45 — The Infrastructure AI Agents Need 10:00 — Getting 32,000 Engineers to Embrace AI 14:07 — Bringing AI to Hardware and Silicon 17:15 — Inside the AI Data Center Buildout 21:27 — Are We Overbuilding AI Infrastructure? 25:10 — Building Trust in AI Agents 28:18 — From India to Waiting Tables at Sizzler 32:12 — Choosing Learning Over Ego 35:31 — Ambition, Teamwork, and Compounding 39:31 — Don’t Squander Your Opportunity
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This sounds like a good opportunity for a new startup.
Every AI data center needs power, and every power plant needs a step-up transformer to connect to the grid. If you ordered one in 2021, it arrived in under 500 days. Today it takes more than 1,120 days. A large transformer core is made of grain-oriented electrical steel that spends about five days in a 1,200°C annealing furnace. Only one US company makes that steel: Cleveland-Cliffs. Inside a bell annealing furnace, coils of iron with about 3% silicon stand on end in hydrogen while the furnace heats them about 15 to 20°C an hour. It takes two to three days to reach 1,200°C. As the coils heat up, tiny particles that pin the grains in place slowly dissolve, and about one grain in a million starts growing and swallows its neighbors. Then the coils sit at 1,200°C for 20 to 40 hours. Grains that started 0.01 mm across end up 10 mm wide, nearly all pointing the same way. That alignment cuts the power a transformer core loses as heat. Cleveland-Cliffs can supply about 12 to 20% of what the US needs, by DOE's estimate. China was in a similar spot before 2000: its only volume producer covered 30% of demand. The few foreign companies that could make the high-grade version refused to license their process. Baosteel spent ten years on research and made its first good coil in 2008. By 2013 it could make 300,000 tons a year, three times what all of China made before 2000. I build chemical plants. If you're in hard-tech, chances are you are now competing with AI data centers for the same grid equipment.
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YC gets founders into the room where it happens.
I had the honor of sitting down with NASA Administrator Jared Isaacman (@NASAAdmin) at @ycombinator's event in DC, The Startup Industrial Base: Building for the Next 250. We talked about how new space capabilities find their first real customer, and what it takes for in-space refueling to go from demo to service. 🚀⛽
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YC now has 19 partners. All 19 founded a YC company. One of the superpowers of YC is how many of the visiting partners and general partners are recent founders. Five of GPs founded or exited in 2018 or later: Grey Baker (Pincites, S23) Harshita Arora (AtoB, S20, still private at ~$800M) Raphael Schaad (Cron, W20, acquired by Notion 2022) Vivian Shen (Juni W18, then Acely Ankit Gupta (Reverie, W18, acquired 2024) And most of the other partners are actively running projects, building, etc. Rest of VC: Only ~7% of VCs ever founded a VC-backed company. Orange Collective (YC Unc fund) 100% YC founders across 5 batches.
YC has the largest partnership in history now - 19 including me. We all went through YC and are alums and founders ourselves. I'm so proud to welcome Vivian and Raphael to the partnership.
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Life update: dropping the "Visiting" — I'm joining @ycombinator as a General Partner 🤩 YC was my first choice as a founder in 2019. Seven years later, I'm choosing it again. This past year, I got to come full circle: working with founders through the W26 and S26 batches, helping them turn early ideas into products people love. I'm incredibly excited to keep finding founders and helping them build the iconic companies of this generation 🔥
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I’m joining @ycombinator as a General Partner. YC is a homecoming for every GP. All of us were previously YC founders, and lived the journey that we support founders through every day. Our alma mater taught us the lessons that we pass on. My founder path was infinitely harder than I thought it would be. We hit incredible highs and brutal lows. We came within a few months of zero runway. The YC mantras kept me going: make something people want, and don’t die. Over the course of my companies, we touched thousands of lives: employing people in almost every US state (Alaska still evades me!), and teaching STEM to students from every walk of life. Now, I’ve had the privilege of working with founders who are tackling some of the hardest problems today, including defense, space, energy, and manufacturing. We’re also entering an era of diffusing AI across businesses of all sizes, and founders are bringing these tools into their old workplaces and new customers to make work better. Finally, I’m particularly interested in our work at YC to partner closely with the government to make sure technology serves everyone. Our Startup Industrial Base conference yesterday was the start of this, with more to come. Founders are the backbone of American innovation and core to the future of our country and economy. Thank you to the YC partnership for believing in me, and the YC founders for trusting me. There’s never been a better time to make something people want.
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YC has the largest partnership in history now - 19 including me. We all went through YC and are alums and founders ourselves. I'm so proud to welcome Vivian and Raphael to the partnership.
We’re excited to welcome @vivianmshen and @raphaelschaad as YC’s newest General Partners! Vivian and Raphael first came to YC as founders. Vivian co-founded Juni Learning (W18), which teaches kids coding and math, and later founded Acely, an AI tutor for college prep. Raphael founded Cron (W20), the calendar app that became Notion Calendar. They built products used by millions of people, then returned to YC as Visiting Partners to help other founders. Now they're doing it full-time. ycombinator.com/blog/welcome…
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I think this is actually the biggest change I see from when I was a founder in 2009 and 2012. Today, the actual hands-on training for how to do founder led sales at YC is absolutely top-tier. It’s a sales Boot Camp that is built on literally hundreds of thousands of reps and then still individualized for where each founder is in their own journey. A bunch of acceleration founders experience when they join YC is because they’ve finally been taught how to sell and they just do the thing. And it’s not a one-day knowledge dump, it’s nonstop, tracking, call recording, notes, iteration, metrics, accountability, support for the entire YC batch. Would love to hear from my 2x YC founder friends in any of the batches of the last two years. Agree? disagree? share your experiences?
at YC you learn a lot of 'secret but not so secret' stuff that's extremely useful to your company like sales. thanks @koomen for the event!
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today marks the 4th anniversary of our getting into yc - applied with an idea we thought would be "the next whatsapp" - got into w23 with roughly $70 in MRR - our partner said: "this is one of the worst ideas I've ever heard" - tanked our demo day - raised only $120k while many batchmates raised $2m+ - took 8 pivots to find pmf - $263 in monthly revenue in our first month with @magicpatterns - took a year+ to reach $10k mrr - hit $1m ARR over the next 7 months (profitable) with two people - raised our series A - got a proper office - hired people - started closing more enterprise deals - worked with ramp, granola, doordash + many more interesting logos - built a ~20 person team across two offices tl;dr: getting accepted into yc changed my life! also made us realize "just don’t die" is more than generic startup wisdom that's passed around because it sounds cool.
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Wafer beat Cerebras on latency for @ycombinator's AI Office Hours. GLM-5.2 on Wafer averaged 379 ms versus 674 ms for Gemma 4 31B on Cerebras. that's 44% lower latency with a much larger model. YC wanted people to get startup advice from AI versions of its partners at conversational speed. after testing lightweight Gemma and OpenAI models, they moved to a dedicated Wafer endpoint. Wafer agents tuned the serving setup for YC’s request rate, cache usage, and prompt and response lengths. users spent 2.5 minutes longer talking to its AI partners on Wafer compared to other providers. read how YC built the experience and landed on Wafer 🧵 link in thread
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If you want to understand the evolution of SF tech culture, this is the article to read.
I wrote a retrospective on 25 years of San Francisco tech culture, and how the scene has changed: noahpinion.blog/p/four-eras-…
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i grew up in Mexico, where it wasn’t always easy to find really high-quality educational resources that pushed me intellectually. i knew pretty early that i wanted to eventually go to one of the best universities i could in the US, and i spent a lot of time trying to get sharper on my own. @brilliantorg was a very meaningful part of that. i still remember being in early high school and absolutely spamming their logic courses. i loved them. they genuinely made me better at thinking, especially around math and logic, and helped build a lot of the skills that eventually got me where i wanted to go. so there is something very surreal about @wafer_ai now serving Brilliant :) their AI tutor, Koji, needs to respond incredibly quickly while students are working through math and coding problems. before Wafer, Brilliant was speculatively prefetching AI-generated responses so students wouldn’t have to wait. on our dedicated GLM-5.2 endpoint, they’re now getting ~250ms time to first token and 300+ output tok/s, 3x the throughput of their previous provider! that let them remove the prefetching layer entirely and cut inference costs by 50%. it’s hard to describe how gratifying it is to help power a product that helped me become a better thinker when i was a kid. very full circle moment. 🧵 Brilliant’s full story in thread.
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