Please wait while we prepare your content.
Every lab has an origin story. Ours began with a simple observation: AI building is fragmented. We're creating the public research layer.
We didn't set out to build a lab. We set out to solve our own problem: too much reinventing the wheel, too little shared progress.
The lab emerged from necessity. If we wanted a public research layer for AI building, we'd have to create it ourselves.
Watching hundreds of AI builders work in isolation. Knowledge scattered across Discord servers, Twitter threads, buried in private repos. No shared infrastructure for learning.
Started documenting our own AI projects publicly. Open-sourced prompts, shared failures alongside wins. The response was overwhelming—builders craved this transparency.
Tangible Ideas Lab officially launches. Not a company, not a course—a research layer. Public experiments. Shared tooling. Documented learnings for everyone.
1,000+ builders following our experiments. Contributions flowing in. The thesis proves out: open research accelerates everyone.
Building the infrastructure for collaborative AI research. Tool libraries, experiment frameworks, shared datasets. Making 'AI building' less lonely, more rigorous.
Current Phase“To accelerate AI development by making research tangible, experiments public, and knowledge freely accessible.”
We share failures as openly as successes. Real research means real results—messy, iterative, honest.
Every experiment is documented. Every tool is open-sourced. Progress is multiplied when it's shared.
Ideas are cheap. Shipping is hard. We prioritize working prototypes over polished presentations.
The lab is open. The research continues.