🤏☁️smol cloud is now live (beta) Get a virtual computer for yourself or your agent in seconds. 1. No need to configure CPU/MEM, it is dynamically allocated up to a 4cpu/8gb upper limit today. 2. You can integrate with the smol cli to run hundreds of agents in separate cloud machines, or just locally with isolation guarantees. 3. $5 credit per month, only charged for active CPU/Mem/disk usage. Quick demo if you prefer web terminal access for your virtual computer.

It’s time to build

Ashton and Morgan are amazing and this will be a *formidable* new GP at a moment where new Series A funds are probably the biggest alpha in all of VC

Every piece of advice is a reaction to something that came before. "Validate your idea before you go all-in" was a reaction to MBAs raising millions of dollars based on nothing but a business plan. Today, young builders take that advice and quickly "invalidate" every idea they come up with. Now the missing ingredient is conviction 🤷‍♂️

"I may be wrong, but everyone pointing that out should realize that the alternative is being unpopular."

I've been working on a project to fix cold outreach. Introducing Instant Expert: Reach out to anyone in the world, and only pay if they respond. They keep the money or donate it. I've been thinking about this problem for a while. 1/

Executor is joining the YC S26 batch! We're building an open source MCP gateway to connect any agent to any service Your team is constantly spinning up new agents, trying out new tools, wrangling multiple accounts. You need one place to configure everything once, and use them anywhere. Executor gives you the ability to connect your agents to thousands of tools in a way that keeps you in control. Giving agents access to production services and data should be easy and predictable Since launching the beta we've: - Shipped a self-hostable Docker version - Shipped a desktop app - Shipped setup by chatting with your agent - Shipped multi-account support - Hit 2,000 GitHub stars - Built a product loved by thousands of users Truly appreciate all of the early support on it, has been incredible seeing all the ways people use it There's so much to build here. The past month has been laying the foundation. Now that that's in place, next up is custom tools, generative UI, and workflows. Setting it up is as easy as asking your agent "help use executor.sh". Incredibly excited about what's next, let me know all your feedback!

Last month we ran 500,000 browser automations for some of the fastest-growing healthcare companies in the US. Today we're launching CloudCruise GA.

At HumanLayer, we’re on a mission to solve the AI slop code problem. In 2025 we open-sourced our Research, Plan, Implement framework, now deployed inside fortune 500s like Block and Uber - places where shipping slop is just not an option And that was just the beginning. Today, we’re opening access to HumanLayer - an Agentic IDE, collaboration platform, and building blocks for your software factory. HumanLayer enables engineers solving hard problems in complex codebases to: > move 2-3x faster across the entire SDLC (not just coding) > maintain rigorous standards for system architecture and program design Hundreds of engineers at companies of all sizes are already using HumanLayer to ship fast without sacrificing quality. I'm excited to invite you to try humanlayer today at humanlayer.com, and I'm even more excited to see what you build. @0xblacklight and I are deeply grateful to our team, our customers who give us so much incredible energy and feedback, our investors who have always been in our corner, and our friends and family who have supported us along this crazy journey if you're a staff or principal engineer trying to make AI coding work at scale for your team, we'd love to hear from you as @swyx likes to say - let's make this the year of no more slop

93% of technical execs we surveyed are alarmed about vibe-coded apps in their orgs. Today we’re shipping the biggest update in @retool's history. One governed runtime for all of it.

We did @ycombinator 2 years ago with an average founding team age of 41 and became YC’s fastest unicorn 💪🏻👴🏻💪🏻 YC is the YC for 35 founder 👌

Packed house for YC Demo Day – congrats to all the founders on the crazy progress throughout the batch!

Congratulations and welcome to @golda and @greybaker, our newest GPs!

opus reading through last week's fable commits

Neovim is a lot more fun to use now that I have codex to deal with the config headaches. Makes me want to try a linux desktop again...

Between 1982 and 2020, the number of the 100 richest Americans who got rich from inheritance decreased from 60 to 27. And yet on the left they think the mid 20th century was the good old days, because economic inequality was lower then. paulgraham.com/richnow.html

We've always told startups to launch early, but I realized there's a powerful new reason to. Before you launch, the speed you can build is now mainly limited by your imagination in what you tell AI. After you launch, the AI can watch your users and make improvements on its own.

I've admired @sdianahu since we met. She's an exceptional mentor to her founders and an exceptional partner at YC. Congratulations!

We're excited to announce Diana Hu (@sdianahu) as YC's newest Managing Partner. Diana co-founded Escher Reality (YC S17), which was acquired by Niantic, where she shipped AR to the 100M people playing Pokémon GO. Since returning to YC as a partner, she has worked with nearly 230 companies that are now worth a combined $7 billion. Few people have built a startup from zero and also shipped at global scale. Diana has done both. ycombinator.com/blog/diana-h…

Brex co-founder and CEO Pedro Franceschi believes most people still underestimate how much AI will change the way companies are built. AI isn't just another tool, it's a new foundation for building products, teams, and companies. In this episode of @LightconePod, @pedroh96 explains why we're only months into a platform shift as significant as the invention of electricity, why the CEO needs to be the chief AI officer, and why founders should rethink what's possible when intelligence is available on demand. 01:13 – How Pedro Became AI-Pilled 04:08 – The Electricity Analogy 05:21 – Free the Claw 06:56 – Making AI Safe for Enterprise 10:57 – Why Most Companies Are Behind 13:09 – AI Teammates, Not Chatbots 14:22 – The Case for Tokenmaxxing 18:24 – The Company of One 20:54 – The One Thing AI Can't Replace 28:06 – Building Customer World Models 32:58 – Rebuilding Brex Around AI 39:02 – The CEO Must Be the Chief AI Officer 43:50 – Building Company AGI 51:43 – Why We're Still So Early