“Anyone Can Code Now” - Netlify CEO Talks AI Agents
30 January - 57 minsNetlify's CEO, Matt Biilmann, reveals a seismic shift nobody saw coming: 16,000 daily signups—five times last year's rate—and 96% aren't coming from AI coding tools. They're everyday people accidentally building React apps through ChatGPT, then discovering they need somewhere to deploy them. The addressable market for developer tools just exploded from 17 million JavaScript developers to 3 billion spreadsheet users, but only if your product speaks fluent AI—which is why Netlify's founder now submits pull requests he built entirely through prompting, never touching code himself, and why 25% of users immediately copy error messages to LLMs instead of debugging manually. The web isn't dying to...
Peter Yang on Small Teams, Coding Agents, and Why Human Ambition Has No Ceiling
Anish Acharya speaks with Peter Yang, creator and product lead at Roblox, about how personal AI agents are replacing the apps we open every day, why coding agents feel like slot machines, and what happens when the cost of building software drops to near zero. They discuss why future companies will stay radically small, how the IDE is becoming a thinking tool rather than a making tool, and why human ambition will always create more jobs than AI eliminates.
28 mins
6 April Finished
Marc Andreessen on AI Winters and Agent Breakthroughs
This episode originally aired on the Latent Space Podcast. swyx and Alessio Fanelli speak with Marc Andreessen about the arc of AI from its origins in 1943 to today's breakthroughs in reasoning, coding agents, and self-improvement. They cover the parallels between AI scaling laws and Moore's Law, the architectural insight behind Claude Code and the Unix shell, the coming supply crunch in compute, and why the messy reality of 8 billion people means both AI utopians and doomers are too optimistic about the pace of change.
1 hour 17 mins
3 April Finished
Alex Blania on Proof of Human and Building World's Identity Network
a16z's Ben Horowitz and Erik Torenberg speak with Alex Blania, cofounder and CEO of Tools for Humanity, World, and cofounder of Merge Labs. World is building the largest real human network, a proof-of-human layer for the AI era. They cover the technical challenge of proving human uniqueness at scale using iris biometrics, the privacy architecture behind World ID, and why platforms from social networks to dating apps to video conferencing will soon require proof of human verification.
42 mins
2 April Finished
What Happens When a Public Company Goes All In on AI
David Haber speaks with Owen Jennings, executive officer and business lead at Block, about how the company rebuilt itself around AI agents, small squads, and internal tools like Goose and Builder Bot after restructuring more than 40% of its workforce. They discuss what it took to execute a major restructuring, how teams of three are now doing what teams of 14 used to, and how Block is shipping AI-native products like Money Bot and Manager Bot that generate custom interfaces on the fly for tens of millions of users.
27 mins
1 April Finished
How Radiant and Heron Are Rethinking Power Generation and Delivery
a16z general partners Erin Price-Wright and Erik Torenberg speak with Doug Bernauer, founder and CEO of Radiant, and Drew Baglino, founder and CEO of Heron, about rebuilding American energy infrastructure. They discuss portable micro nuclear reactors, solid state power electronics, why delivery rather than generation is the real bottleneck, the case for modular manufacturing, and whether data centers are actually good for the grid.
49 mins
31 March Finished
Marc Andreessen on Evaluating Founders and AI's Consumer Surplus
This episode originally aired on The Twenty Minute VC with Harry Stebbings. Marc Andreessen explains why learning from past investment mistakes can be a trap, shares his framework for evaluating founder greatness through IQ, courage, and drive, and makes the case that venture investors should back the person over the business plan. They also discuss why AI is reconcentrating the tech industry in Silicon Valley, the concept of consumer surplus and where 99% of AI's value will actually go, and why the labor displacement narrative is fundamentally wrong.
1 hour 7 mins
30 March Finished