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Y Combinator

Y Combinator

@ycombinator

We help founders make something people want. Subscribe to our newsletter: https://t.co/sjqjxxBeLc

San Francisco, CA Katılım Şubat 2010
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Y Combinator
Y Combinator@ycombinator·
AI has stopped being a feature and started being the foundation. We're excited about a new wave of startups rebuilding software, services, and silicon— and pushing AI into the physical world. ycombinator.com/rfs
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Y Combinator
Y Combinator@ycombinator·
.@JeffDean is speaking at Startup School 2026. Google's Chief Scientist. Co-founder of Google Brain. Co-author of "Attention Is All You Need" — the paper behind the Transformer architecture that powers modern AI. You won't want to miss this. ycombinator.com/startupschool
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Wade Foster
Wade Foster@wadefoster·
Today we open early access to @Zapier's next product We've been using it internally for months (>1,000,000 actions executed so far) and it's completely changed how we work. We're letting a small group of AI-forward teams try it first and give feedback. Who we’re looking for: - 10-100 person teams using AI daily, but need to do so more collaboratively - teams ready to build and ship automations through agents, not just chat - teams that already work in the open (call recordings, shared docs, public channels, etc) - teams obsessed with optimizing every aspect of their work Join the waitlist: zapier.com/shared-brain
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nico laqua
nico laqua@nico_laqua·
Today, we're excited to launch AI Coverage (insurance for when your AI messes up). Insurance was built for risks that have existed for decades. AI is creating a new category very quickly.
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Ankit Gupta
Ankit Gupta@agupta·
AI for Bio is hot again. Given that, I wrote a primer on why this field is so hard. tl;dr it's because the APIs are fuzzier than you might think. ankitg.me/blog/2026/05/0…
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Y Combinator
Y Combinator@ycombinator·
Kuli (@kuli_ai) is the AI coworker that gives marketers their time back and makes them 10x more efficient. It watches all videos on socials to find the next trend and gets work done. Already live at Fortune 100 brands, it plans and runs their campaigns with creators. Congrats on the launch, @maradoh22 & Jonathan! ycombinator.com/launches/QCG-k…
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Jon Xu
Jon Xu@xuster·
The YC application deadline is today. If you're working with AI to close the scientific discovery loop, drop an application and tell us about it.
Y Combinator@ycombinator

AI-Native Discovery Engines @xuster For centuries, scientific discovery has run on the same loop: hypothesize, experiment, interpret, repeat. It works, but it's slow. Frontier models have now reached PhD-level performance on scientific reasoning, and the frontier is shifting from copilots to systems that can run closed discovery loops on their own.

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Y Combinator
Y Combinator@ycombinator·
AI-Native Discovery Engines @xuster For centuries, scientific discovery has run on the same loop: hypothesize, experiment, interpret, repeat. It works, but it's slow. Frontier models have now reached PhD-level performance on scientific reasoning, and the frontier is shifting from copilots to systems that can run closed discovery loops on their own.
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Y Combinator
Y Combinator@ycombinator·
AI has stopped being a feature and started being the foundation. We're excited about a new wave of startups rebuilding software, services, and silicon— and pushing AI into the physical world. ycombinator.com/rfs
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Garry Tan
Garry Tan@garrytan·
Today is the deadline to apply for YC Summer 2026. If you're still hesitating: the companies that change the world don't wait until they're 100% ready. Applying is sometimes literally the first step.
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Stanley Tang
Stanley Tang@stanleytang·
At DoorDash Labs, we're building a ground up-vehicle for autonomous deliveries, developing a logistics system using the latest tools in AI and deep learning. These are some of the people making sure Dot is ready for the road.
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Y Combinator
Y Combinator@ycombinator·
“When founders are both formidable and earnest, they're as close to unstoppable as you get.” Paul Graham on earnestness: paulgraham.com/earnest.html
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Amjad Masad
Amjad Masad@amasad·
Replit, turned 10 🎂 To celebrate we’re making it totally free for 24 hours starting at 5am PT. But our work—to make coding accessible for all—goes back to 2011. Watch the highlights from the journey: It’s been an honor to help millions learn & ship. Here is to the next 10!
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Eric Landau
Eric Landau@EricEncord·
The robot economy is coming, and data is the bottleneck. It was a pleasure sitting down with @dessaigne on the @ycombinator podcast to discuss this bottleneck and reflect on the progress @ulrikstighansen and I have made since the W21 batch. We started YC before the AI boom and struggled to convince many VCs the AI market would be big enough to support a new data company. Now we are building critical infrastructure in the midst of the largest technological shift in our lifetimes. Nicolas was one of our batch partners and has seen the whole journey of the company. We cover topics ranging from the founding story behind @encord_team, why AI engineers didn't trust AI automation before ChatGPT, the data problem holding back Physical AI, and the next steps for the company after raising our Series C. YC was our first outside backer and we are very grateful for their support through years of starting, building, and scaling Encord. Watch the full conversation below!
Nicolas Dessaigne@dessaigne

I sat down with @ulrikstighansen and @EricEncord, the co-founders of Encord, after their $60M Series C led by Wellington Management. From a wild bet to their incredible success with Physical AI, their story is wild! A seed fund once rejected them because they didn't believe in AI and invested in an Icelandic dating app instead 😅 Here are a few things from the conversation that stuck with me.

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Demis Hassabis
Demis Hassabis@demishassabis·
Really enjoyed this conversation - thanks again @garrytan for hosting!
Y Combinator@ycombinator

Demis Hassabis (@demishassabis) has had one of the most extraordinary careers in tech. He started as a chess prodigy and video game designer at 17 before getting a PhD in neuroscience and going on to found DeepMind. His lab cracked Go, solved protein structure prediction with AlphaFold, and then gave it away free to every scientist on earth. That work won him the 2024 Nobel Prize in Chemistry. Today he leads @GoogleDeepMind, pushing toward the same goal he set as a teenager: AGI. On this special live episode of How to Build the Future, he sat down with YC's @garrytan to talk about what still needs to happen to get us to AGI, his advice for founders on how to stay ahead of the curve, and what the next big scientific breakthroughs might be. 01:48 — What’s Missing Before We Get To AGI? 03:36 — Why Memory Is Still Unsolved 06:14 — How AlphaGo Shaped Gemini 08:06 — Why Smaller Models Are Getting So Powerful 10:46 — The 1000x Engineer 12:40 — Continual Learning and the Future of Agents 13:32 — Why AI Still Fails at Basic Reasoning 15:33 — Are Agents Overhyped or Just Getting Started? 18:31 — Can AI Become Truly Creative? 20:26 — Open Models, Gemma, and Local AI 22:26 — Why Gemini Was Built Multimodal 24:08 — What Happens When Inference Gets Cheap? 25:24 — From AlphaFold to the Virtual Cells 28:24 — AI as the Ultimate Tool for Science 30:43 — Advice for Founders 33:30 — The AlphaFold Breakthrough Pattern 35:20 — Can AI Make Real Scientific Discoveries? 37:59 — What to Build Before AGI Arrives

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