President & CEO @ycombinator —Founder @garryslist—Creator of GStack & GBrain—designer/engineer who helps founders—SF Dem accelerating the boom loop

San Francisco, CA
Tech gave me everything I have Its capacity to lift people into abundance is incredible and there is nothing like it We must make that into prosperity for everyone
"I realized tech is this thing that can bring people out of whatever situation they're in and often into prosperity. And that's what I want for everyone." @ycombinator’s @garrytan tells @emilychangtv how tech changed his family's life. Watch here: trib.al/sxg1VGR
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Congrats to @kiwicopple, @AntWilson, and @supabase on their $150 million round at a $10.65 billion valuation! More than 13 million developers use Supabase as the backend for their apps. They're adding more than 1 million users and over 4 million databases every month, and 70% of new databases are now created by agents or AI-driven tools. nytimes.com/2026/10/02/busin…
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SF supervisor candidate @garymccoysf was an exec at an NGO embezzling tax dollars who tried to sue people for retweeting a meme about him. He’s also a convicted felon who supports drug use on SF sidewalks. Absolutely do not vote for him.
Earlier this year @garymccoysf asked me to talk housing over coffee. I found him to be deeply knowledgeable about policy and focused on the nuts and bolts of governance, with good ideas for making District 8 a better, more affordable place to live. He'll be a great Supervisor.
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Just deleted about a thousand lines of markdown from gstack because frontier models are good now and the old tricks generally you don’t need anymore
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This week’s Paper Club is all about alternative compute. Modern AI has been shaped by a tight coupling between transformers, backpropagation, and GPUs. But as compute efficiency starts to plateau, there may be very different ways to build the machines that come next. We explore what AI compute could look like beyond conventional digital hardware through optical systems that use light to perform computation, neuromorphic architectures inspired by the brain, and experiments teaching living brain cells to play Doom. 00:07 — @FrancoisChauba1: Why Alternative Compute? 03:38 — Beyond Backpropagation 08:08 — Zero-Order Optimization and SOMA 15:06 — Ilker Oguz: Computing With Light 19:27 — Why Optical Computing Isn’t Everywhere Yet 22:23 — Building a Diffusion Model With Light 30:03 — Optical Computing Q&A 39:00 — @AlokVasudev: What Is Neuromorphic Computing? 45:23 — What the Brain Can Teach Us About Chips 49:35 — Where Neuromorphic Computing Stands Today 54:24 — Neuromorphic Computing Q&A 1:04:24 — @vytalow: Teaching Brain Cells to Play Doom 1:07:48 — Training Biological Neurons With Reinforcement Learning 1:12:28 — How Brain Cells Learn From Feedback 1:15:40 — Biological Computing Q&A
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"Since American children...weren’t being taught what happened under actual socialist regimes, it was only a matter of time before simplistic slogans attacking private property, billionaires and 'profits before people,' would be successfully revived" wsj.com/opinion/the-scholar-…
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It's mind blowing to me that we can give people real-time video at the same price as real-time voice 🤯
Introducing CWM-1 Lite: real-time video at the same price as voice!
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60% of the latest YC batch are using @supabase 🤯 also, woz hype intensifies 😂
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I misunderstood this when it launched. This is the first / best true agent<>human collaboration space I have seen. You are sharing a whole computer with AI and can collaborate on anything. When writing a doc the agent sees the comments, you can have a side text/voice chat, you can have it navigate or you navigate while you talk. It's really impressive and the largest step forward in AI UI that I have seen. It is not just adding a sidebar AI chat to productivity apps, it's much more seamless, comprehensive, and natural than that. I'm struggling to articulate because it looks similar but is very different. Thank you @LudvigSwanstrom. Everyone, check it out.
Introducing the Agent-Native Desktop. A computer in your browser where humans and agents work together through shared desktops. Each desktop brings together an email client, composable tools, native docx/xlsx/pptx editing, and connected systems. Agents can work across the entire job, while approval controls keep you in charge of consequential actions. Our ambition is to make entire projects, not just individual tasks, delegable.
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Voters should never forget that Gary McCoy, a longtime executive at harm reduction grift machine HealthRight 360, is a proven liar and a bully: He fudged the numbers at the Linkage Center and lied about successes that never happened. It was nothing more than a drug den, which McCoy supports. Full story: susanreynolds.substack.com/p… He wasted nearly 3 years tying up the courts trying to get the identity of a gay icon, ruining his life over a Twitter meme. McCoy also asked a judge to force me to give up my source, and tried to serve @EricaJSandberg in the lawsuit for simply sharing the meme. Full story: susanreynolds.substack.com/p… He was part of London Breed’s “troll patrol” — a group of bullies who called @AngelaAlioto1 supporters “Nazis” and said Alioto was “one white hood away from being in the KKK.” Full story: reynoldsrap.org/london-breed… He was president of the Milk Club where the same group of people involved in the Manny accusations accused Shahid Buttar of sexual assault when he ran against McCoy’s boss Nancy Pelosi (claims that I later proved were untrue). Full story: marinatimes.com/smear-campai… McCoy is a proven liar and a bully. He was still far behind Manny. Timing of the latest story is suspect — ballots are just going out — as is the author Joe Fitz, a known far left operative. Considering how McCoy lied about the Linkage Center, his involvement in this spectacle is entirely plausible. His reputation precedes him — as do the receipts found in my stories linked above. Keep all of this in mind when you go to the polls.
🚨 BREAKING NEWS: Manny withdraws from the D8 Supervisor Race.
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1/ We're reimagining what it means for your agents to work with all your computers. Today we're excited to share Cua Spaces, built on Cua Driver and our virtualization stack, rolling out on macOS today. Download it now, it's free and source-available: spaces.cua.ai
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Surprising cool @capydotai cross-session coordination I wasn't expecting: My GBrain collaborator Sina started a fix wave that is even steering around all of the things I'm already working on across multiple Capy threads. All model agnostic.
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Capy is like a 24/7 standup for your agents
Replying to @garrytan @capydotai
so it's a standup, minus the standup
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when we think about ai in the physical world, we usually default to thinking about humanoids or self-driving cars or or models helping scientists discover new drugs and materials. but there’s another version of physical-world ai that i think deserves more attention: using intelligence to orchestrate all the benign-seeming things that have to happen for something to get built. which is especially important because the physical world is this wildly chaotic unpredictable place. what happens when the physical world refuses to cooperate. your shipment falls off a ship. or a strait closes. where, exactly, can an agent intervene? this is the problem we get into in my conversation with @askvladi, cofounder of lio, and @seema_amble. lio builds ai agents for procurement, in other words the work of figuring out what a company needs to buy, finding suppliers, negotiating terms, and making sure the right things arrive. when you’re building an aircraft or a data center, those decisions connect engineering, logistics, and finance in very consequential ways. vlad’s answer to the question of how to wrangle the physical world was about probability. suppliers have different records of reliability and routes have different risks. understanding those things in concert changes what you should buy / what you should pay: a cheap component that holds up an entire project can become a very expensive component. this all requires a much richer understanding of the world than the price and delivery date sitting in an enterprise database. i think this is a very compelling application of ai. a lot of our ability to build more ambitious things depends on making thousands of these decisions well. robots justifiably get a lot of attention; getting everything required to build them in the same place at the right time is just as important!
Lio co-founder and CEO Vladimir Keil joins a16z's Seema Amble and Elena Burger to discuss where AI-native startups have an advantage when incumbent software companies already own the customer, the data, and the system of record: Their answer comes down to the work that happens outside those systems. In procurement, a final price in an ERP can hide hundreds of emails, spreadsheets, supplier conversations, engineering analyses, and decisions across legal, finance, and operations. Vlad explains how Lio uses multi-agent systems to take on more of that end-to-end work, from sourcing and RFQs to negotiation, shipment tracking, and invoices. They also discuss how enterprises learn to trust agents with increasingly consequential decisions, why the last 20% of an internal AI build can require most of the effort, and what happens when both buyers and suppliers have agents working on their behalf. 00:58 Why AI startups still beat incumbents 04:19 The hidden work behind an $8K line item 06:18 Retrieval, process, policy, principal 09:27 The incumbent's internal conflict 14:48 What procurement actually looks like 21:13 Procurement at Boeing-scale 28:03 A bolt order, end-to-end 37:57 What a durable vertical AI company looks like 44:46 When both sides deploy agents YouTube: piped.video/OTQ-lFsq7zA @askvladi @seema_amble @VirtualElena
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My goal with GBrain: I want our agents to feel as native, expressive, and inevitable as the web eventually did—not as a chatbot feature, but as a personal Jiminy Cricket that knows you and helps you 24/7 always on, always thinking ahead, always improving.
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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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True 5 years ago True today
My best career advice: At every job you should either learn or earn. Either is fine. Both is best. But if it's neither, quit.
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This is likely your new D8 Supervisor San Francisco. He wants to decriminalize drugs and use your tax dollars to give free drugs to all the homeless drug users in the city. My God. @garrytan
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more benchmarking towards long term horizon tasks that feed into self recursive improving loops for sw and one of them is getting agents do successfully oncall for production code that they may be shipping themselves
Agents write application code, but you still get paged at 2am when it breaks. We wanted to know whether AI could handle that part of the job too. Introducing Incident Arena: a benchmark that puts coding agents on call! Check out our paper & full dataset release below!
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Pay attention closely and hear me out Connie Chan is unfit to serve in ANY office. She would be a GENERATIONAL FAILURE in Congress. Look no further than how she treats residents in her own neighborhood.
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Startup School is coming to Taipei on November 12! 🇹🇼 Hear from founders like @andyfang of DoorDash, @jeffchanginvest of Vest, @moseslo of Xendit, @mchiang0610 of Ollama, and more. And join builders and hackers from across Asia for a day of talks and sessions with YC partners.
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