Venture Capital

“Building an AI-native firm in 30 days” is a great LinkedIn AI slop bait title. We are not AI-native. We are roughly 10x more AI-enabled than we were on April 1st. Those are different sentences. The gap between them, between AI-enabled and AI-native, is most of what I want to share, because it is the thing every VC, CTO, and partnership-led firm I now talk to is getting wrong. For 30 days in April, I ran a sprint that pulled our entire firm (partners, investors, finance, legal, EAs, ops, all 30 of us) out of business-as-usual. The one thing we did not drop was answering our founders. We are a venture firm, and that line is sacred. Everything else moved aside, so that between 50 and 80% of every person’s time, every day, went into building with AI. By Demo Day 5 on April 30th, we had shipped 52 internal apps, deployed multiple production AI agents, redesigned core processes, and turned a partnership of investors and operators into a partnership of builders. ...

Venture capital (VC) is traditionally a people-based, non-scalable business. Do you want to do more deals? Hire more people. Want to do deals in a new region? Open a new office. Want to provide better support to your founders? Hire an ops team. For an industry that invested billions of dollars in technology companies, the venture capital industry lacks proper technology adoption. It is one of the last industries to embark on the digital transformation journey. ...