Rebel Fund

I’ve written dozens of posts over the years on Y Combinator startup trends and how we use data and algorithms at Rebel Fund to invest in the top 10% of new YC companies. We’ve invested millions of dollars into our data automation infrastructure, proprietary machine learning algorithms, and internal software to quickly identify and invest in the best new YC startups each year. Not only do we invest in hundreds of the most cutting-edge technology startups coming out of Silicon Valley, but we also invest in developing and using the most cutting-edge technology possible to do so. It should thus be no surprise that we’ve been keeping a close eye on the latest developments in AI, and figuring out how to merge its fast growing capabilities into our existing technology infrastructure. In this post, I’ll explain some of the mind-blowing capabilities that AI has developed over just the past few months for investors, and why I think in the near future, early-stage investors who don’t leverage AI in their due diligence and selection process will be left in the dust by those who do...

Vantel (YC W25) has raised $2M to give commercial insurance brokers AI superpowers! Our investors are Y Combinator, Rebel Fund, Inception Fund, and prominent angels who have backed $10B+ companies like Spotify, Airbnb, Revolut, Adyen and Brex at the earliest stages. They are some of the world’s best founders, AI experts and insurance insiders. They include Lukas Saari – co-founder and CEO of Tandem Health, Axel Ericsson – Thiel fellow and co-founder of Callin, and Oliver Jung – one of the most successful angel investors of all time, as well as angels from institutions like Lloyd's of London and Anthropic. Ulme Wennberg and I are deeply grateful to be working with some of the best brokers in the US, who are partnering with us to build the future of commercial insurance. With this funding, we're speeding up development and working closely with our customers, transforming their feedback into game-changing features faster than ever. See the difference for yourself: book a demo through the link in the comments.

We trained the first AI ever that invested $100k in a startup — all by herself 💀 The AI investor? We call her ‘No Cap’ 🚫🧢 Artem Goldman, founder of Wonder Family, agentic e-com brand builder, went from pitch to signed SAFE from No Cap (she/her lol) in just a few days. On the closing call (see below), No Cap didn’t fool around: in 3-min she signed the SAFE, wired the $100k, intro’d him to five new investors and gave him a lead for a potential hire on a 3-min call. I truly believe this is the future of venture: finally putting an end to the fundraising dread of 1,000s of emails, 100s of calls, and only a few wired checks. And if you’re wondering — yes, No Cap is the world’s first AI angel investor. Since we want No Cap to be the best investor on your cap table, she’s being trained by the best founders (60+ Y Combinator alums as of now, since we're also backed by YC) like Jeff Wilson, Slava Solonitsyn, Michael Ma, me and more — a community we call the No Cap Mafia. Our founder training will ensure she’s always there for coaching/advising and, most importantly, the “dirty work” like intros for fundraising, biz dev, hiring, PR, and more. No matter if you’re a founder, VC, or just curious, if you want me to intro you to No Cap, just comment ‘No Cap’ and I’ll DM you her email and you can start the convo immediately!

Today I’m sharing our UI + SDK agent builder for the first time. Last week, Langchain announced a UI to define agent boilerplate, but it falls short. Vellum is now the only platform that delivers on the promise of a code-first, UI-native agent development experience. Unique to Vellum: 🔁 The only framework with a two-way sync between code and UI: Edit your graph visually, then effortlessly pull those changes into your code locally. Modify your code, and push the updates back into the UI. Developers keep full control and debug more easily, while product teams can iterate on prompts, logic, and test flows on-the-fly. 🔒 Declarative graph syntax for easy debugging: An expressive syntax that self-documents the control flow of your graph and is type-safe by design. 🍬 Syntactic sugar that’s not too sweet: Unlike other high-level frameworks with bloated abstractions, Vellum provides to the low-level building blocks you need for building graph-based AI agents – looping, parallelism, state management, state forking, conditionals, and native streaming. 🚧 Custom Docker runtimes (coming soon!): Define custom nodes that directly import existing application code and run within your own Docker runtimes – fully compatible with Vellum’s UI and deployment layer. Sound too good to be true? Sign up for free: https://lnkd.in/dugUReZk OSS Repo here: https://lnkd.in/dTdB_5cZ Tutorial here: https://lnkd.in/djD_UvNk

Thrilled to launch Capitol's Series A funding! 🚀 Huge thanks to Together for leading the charge with partners Y Combinator and Rebel Fund. Shoutout to Shaun Modi and the Capitol AI team for making it happen behind the scenes! Let's go!