Congrats to @TungaBayrak and the @FreyaVoice team on launching the most human-like AI voice model.

You know a team is humble when “5x’d ARR” off of a strong base is just another bullet point. Loved working with @alexytung and @leonyaolh.

people are saying

Sometimes the best defense requires a strong offense.

Ashton joined us at Demo Day!

The best way to predict the future is to create it. So excited for the companies presenting at YC Demo Day today. Robots entering the real world, frontier agents tackling industrial logistics, new possibilities in personalized medicine, and much more. Can’t wait to live in the future these founders are building.

CNBC + @garrytan filming live from the hardware floor of @ycombinator Demo Day! They are sitting within 20 feet of teams building jet-powered interceptors, military exoskeletons, humanoids, cargo rockets, drones that can move clouds...

We're giving enterprise buyers an early look at YC companies building AI tools for them. Apply now if you're interested in joining and attending our first event with the Fall '26 batch at YC SF, Oct 22.

Legora's revenue has increased by over 9x from this time a year ago. That's an astounding growth rate for a company of this size. It's not unusual for a startup to grow that fast in the first 6 months, but Legora is 3 years in.

Introducing @robocurve, a Public Benefit Corporation to measure and report frontier robotics capabilities. We build real-world evaluations for robots and publish results as a neutral third party.

We’ve started moving onto longer-horizon tasks. Table bussing - π0.5 completed 48/50 rollouts on a consistent setup. Very much in distribution, but a useful baseline.

Great founders see the world as it should be and pull us forward into the future. Aerogen is building toward chip fabs that no longer need expensive cleanrooms 🚀

Today we're launching @akonlabs backed by @ycombinator We build GitNexus, an open-source knowledge graph for your repository. Coding agents query it to get exactly the context a task needs symbols, call paths, dependencies instead of grepping around and stuffing half your codebase into a context window. Context is the bottleneck for coding agents. Bigger windows haven't fixed it. Buyers of agents are paying more per token to get worse code, and the agents themselves have no map of the repo they're editing. We're fixing this. On DeepSWE, the same agent with GitNexus vs. without: 1. 37% → 68.4% of tasks passed 2. Half the cost per fix 3. On the hardest tasks, the gap more than triples One stack: knowledge graph, coding agent, automated PR review. Managed, self-hosted, or air-gapped. 45k GitHub stars. 65k weekly npm downloads. 10+ enterprise deployments. Sign up at: app.akonlabs.com

If you're an MIT alum or MIT intern in the bay, and you're interested in startups: Come by the YC office next week for happy hour! events.ycombinator.com/mit-y…

Hosted the first YC Intern Expo today with 1,400 college students & 52 YC companies hiring interns. Many of YC's best founders started as interns. From the people I met, pretty sure we'll get more from this crowd.

YC founders at work. This is insanely cool 🛫

Yesterday we had dinner with @paulg at @ycombinator's office. And it was by far the most information-dense conversation I have had in my life. I do not think there is another place where you can get this much timeless startup advice in one room. Three things I wrote down: 1️⃣10% week-over-week growth is all you need to care about. It's impossible to mess it up as a founder if you maintain this growth for a long enough period. 2️⃣Great startups ride second waves that propel them to be truly huge. Zuckerberg could not have predicted the coming of the iPhone 3 years after he started. Replit grew from 1M to 100s of millions in revenue in one year from vibe coding. Boom Supersonic couldn't have predicted that there will be such demand for their engines to power AI data centres. You cannot time the wave but it's about being alive long enough to catch it. 3️⃣Formidable founders are deeply committed to what they are building. They survive the hard years because giving up is not an option. They eventually get what they want because they keep going when most people would have stopped. I could have listened for another five hours. What an absolute pleasure to have met him in person.

Everyone in robotics is waiting for the ChatGPT moment but … missing the most important part of the ChatGPT playbook. So we left Boston Dynamics and Amazon Robotics to fix that, and start @Shiraz_AI to build robots that learn on the job. When GPT-3 was released, it couldn’t do every task out of the box. But you could show it a few examples in the prompt, and it adapted on the spot. We’re bringing that to robotics. Show our robot a task once, and it adapts on the spot. That’s exactly what our manufacturing customers need, especially when production lines change every week and traditional automation can’t keep up. And we’re already deploying it with our first customers. Have a factory that’s difficult to automate? We’d love to talk.

Introducing the Halluminate Westworld Finance Diligence Bench: 88 problems that put AI agents through a full company acquisition due diligence process. We tested a range of models across several harnesses. Results below. 🧵1/