When Patrick Collison, Tobi Lütke, Aravind Srinivas, and Eric Yuan all write checks into the same round, the question isn't whether the thesis is interesting — it's why everyone agreed so fast.

The thesis belongs to Daytona Platforms, a three-year-old New York startup building cloud infrastructure specifically for long-running AI agents. According to TechCrunch, the company announced Friday that it raised a $60 million Series B at a $1 billion valuation, led by FirstMark Growth — the same firm that led its $24 million Series A in February. Total funding now stands at $91 million.

The angel list does real work in telling the story: Stripe's Collison, Shopify's Lütke, Perplexity's Srinivas, Zoom's Yuan, Datadog's Olivier Pomel, Quora's Adam D'Angelo (who also sits on OpenAI's board), and Mercor's Brendan Foody. Qualcomm Ventures, Samsung Next, and Okta Ventures joined as well. That's not a cap table assembled for press value — it's founders and operators of companies that will either build agents, run them, or sell into them.

The pitch is simple and, if you squint, familiar. Today's cloud was designed for long-lived services — apps that stay up for months. Founder Ivan Burazin argues agents need the opposite: "Agents don't work like the long-lived services today's cloud was designed for. They spin up thousands of short, stateful jobs nobody planned in advance, and they need a cloud built for that." Daytona's answer is effectively a computer per agent: sandboxed Linux, Windows, and macOS environments plus GPUs, all provisioned on one platform.

If that sounds like an echo of the early days of cloud itself — when AWS argued that renting a server by the hour beat buying one outright — it should. Daytona is betting that agents become numerous enough to need their own abstraction layer, and that whoever owns that layer gets paid every time an agent thinks. The irony, of course, is that the giants racing to sell agent platforms to enterprises are simultaneously Daytona's biggest customers-in-waiting and its most credible competitors.

What to watch: whether the hyperscalers build this themselves — Google Cloud just became the only cloud selling all three leading closed models side by side — and whether Daytona's $1 billion valuation holds up when the agent economy stops growing on hype alone.

— via TechCrunch