YC works with thousands of founders every year, which gives us an early look at how startups are changing. Right now, the shift is striking: startups are moving from bits to atoms, nearly one in five YC companies has a solo founder, and companies are reaching meaningful revenue faster than ever. In this episode of the Lightcone, @garrytan, @snowmaker, @sdianahu, and @harjtaggar dig into what’s driving these changes and what they mean for founders. They discuss how AI is making it possible for smaller teams to take on more ambitious problems, why experienced founders are having a resurgence, and why knowing what to build is becoming more important than simply knowing how to build it. 01:06 — Startups Are Moving From Bits to Atoms 03:29 — Why AI Is Making Hard Tech Easier 05:21 — Defense, Manufacturing, and the Return of Hard Tech 09:48 — AI Compute Is Becoming a Physical Infrastructure Problem 12:34 — Robotics Is Approaching Its ChatGPT Moment 15:40 — Software Isn’t Dead. It’s Becoming the Harness 17:59 — Why AI Startups Are Growing Faster 22:52 — The Hidden Boom in Data and RL Environments 27:08 — Why Robotics Will Need Specialized Models 29:38 — The Rise of the Solo Founder 32:54 — Why Experienced Founders Are Back 34:59 — What Founders Should Do Right Now

Jev, now open source: Lev A 4B open source System One model based on Qwen backbone The best performance for it's small size huggingface.co/interfaze-ai/…

If your legal team is still chasing context, manually triaging requests, and working weekends to keep up, this one's for you. Intake turns ad-hoc requests into tracked work in Legora, executes the work with the Legora Agent, and sends it back to the requester, with a lawyer accountable throughout. Walter Myer, Product Lead at Legora and former lawyer, walks through how it works. Available on October 7.

they signed $1.37B in LOIs during the YC summer batch! incredibly ambitious

Introducing Agent Ultra - a step change in deep research Agent Ultra orchestrates swarms of agents to perform exhaustive research, build comprehensive lists, and answer questions requiring thousands of sources. In both evals and vibes, it's state of the art

Most folks don’t know that the inspo for @numeral was my own experience trying to deal with sales tax in 40+ states. Fast forward to today, the puzzle has only gotten more complex. Ah yes, Matt, the gold coins in the Discord server.

Here’s to the wanting. Here’s to the dreaming. Here’s to everyone.

Hop Aero is building rockets that can deliver cargo anywhere on Earth in minutes. They’re starting with military logistics and other time-sensitive payloads, including temperature-controlled materials with short shelf lives, where getting something there much faster can materially change the outcome. They’ve already built and successfully hot-fired a new rocket engine, and signed $1.37B in commercial LOIs.

Introducing Span-01, the first hyper-parallel reasoning classifier built for unseen challenges (RLAIF). 2x cheaper, 18% better than Jev. 700x cheaper, 4% better than GPT-6 Luna. Frontier reasoning for every behavior, at classifier speed. • Span-01: #1 on Behavior Benchmark • Span-01 Lite: Better than Jev and completely free!

Today, we're launching Masterpiece (YC P26). @masterpiece_lab We finance the companies building the intelligence economy, giving AI data vendors capital today instead of waiting 30–90 days for frontier labs to pay, funded through our $10M+ institutional credit facility and onchain liquidity via $USDml (coming soon). Every era has its masterpieces. We’re financing the next ones.

it is increasingly prudent to allocate more compute to validation than to generation you can think of it like having staff engineers checking the work of junior engineers. greptile plus and apex are incredibly powerful. for the last month we have been using apex on all our most critical changes, and it’s allowed us to move way faster and with far more confidence.

We’ve raised $85M for this moment. Introducing Warp 2.0: The first AI Head of HR. Every company is building AI to replace jobs. Warp is building AI to do the jobs no human should have to: If you work in HR, I want you to spend time with the manager who needs help or building company culture people actually want to work at. If you’re a founder, I want you to focus on signing clients or spending time with your family. You shouldn’t have to figure out how to register state tax in California. You shouldn’t have to pay outrageous penalties because you don't know what a DE 9C is. I want to make HR human again. Today, this is finally possible with the Warp Agent. I’d love for you to see it in action: warp.co/agent

Probably the coziest place I’ve worked at - they really did a good job with the yc night cafe

.@eightsleep is on track to surpass $1B in lifetime Pod sales by year-end, a defining milestone for our team and the category we set out to build. Pod 6 marks our next phase: making our technology even better and more accessible while expanding into healthcare and medical applications. We believe the future of sleep can have an even bigger impact on health. We’re just getting started. Thank you to Bloomberg for covering the milestone: bloomberg.com/news/articles/…

Breaking NEWS! @knowtexai is Named Prime Awardee on @DeptVetAffairs $775 Million Contract - available to VA medical centers and clinics nationwide. This is the largest public enterprise commitment to ambient #AI in #American #healthcare. Honored. ❤️🤍💙 globenewswire.com/news-relea…

YC night owl coworking sesh Kinda a vibe F26 so many more cross group events compared to P26

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.

It was great to show off one of our construction robots @ycombinator demo day :)

robots for earth, then the moon and stars