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AI building is fragmented. Knowledge is siloed. Progress is duplicated. Lessons are lost.
We're creating the public research layer that connects it all.
We share our methodology, our failures, our pivots. Research without transparency isn't research—it's marketing.
Every experiment ships. Incomplete is fine. Imperfect is expected. The only failure is not shipping.
Code, data, insights—all public unless there's a compelling reason otherwise. Knowledge compounds when shared.
We were builders like you. Frustrated by how much time we spent rediscovering solutions others had already found. Tired of knowledge being locked in private Slacks and forgotten Notion docs.
So we built what we wished existed: a lab that operates in public, shares everything by default, and treats the community as collaborators rather than audience.
This isn't a company. It's infrastructure. And infrastructure should be open.
“If we build something useful, we release it. If we learn something valuable, we document it.”
We're not racing other labs. We're building infrastructure for everyone. Rising tides, all boats.
Academic papers are great. Working code is better. We optimize for utility, not citations.
Version 1 is never final. We improve in public, responding to feedback, adapting to new learnings.
These aren't aspirational values. They're operational constraints. Every decision we make is filtered through this lens.
Public experiments with documented methodology. We test ideas so others don't have to guess. Every experiment published with full context.
OngoingOpen-source infrastructure for AI builders. Frameworks, templates, utilities—all designed to reduce friction and accelerate development.
ShippingDeep dives, analysis, and synthesis. Not just what we built, but why it worked (or didn't). Practical insights for practitioners.
PublishingA network of builders contributing, critiquing, and collaborating. The lab is open. Everyone is welcome to participate.
GrowingTogether, they define everything we do.