Channel3 is building a database of every product on the internet. People have wanted to do this for decades, but it wasn’t possible until now – AI is finally smart enough to structure the world’s messy product data, and inexpensive enough to do so at scale. Our vision: from in-store, to online, to AI-native We believe agentic commerce is as important as in-store and online channels; that’s where “Channel3” comes from. We plan to become the central node of agentic commerce, powering every AI transaction and taking a cut of GMV. We see Channel3 becoming as foundational to AI commerce as Stripe is to payments or Plaid is to fintech. The problem Agentic commerce is bottlenecked by messy product data. (See “OpenAI’s Shopping Ambitions Hit Messy Data Reality”) Product data is inconsistent at best, completely wrong at worst — that is, if it exists at all. The opportunity McKinsey estimates that “by 2030, the US B2C retail market alone could see up to $1 trillion in orchestrated revenue from agentic commerce, with global projections reaching as high as $3 trillion to $5 trillion.” That future is impossible without great product data. The team Alex (CEO) and George (CTO) have been friends since the first day of Duke. Alex began coding at 9, started his first company at 12, and most recently led AI projects at studio.com, where he got this idea. George published research on automating astronomy with robots at 18, and worked on big-data problems at Palantir for the past 2 years. Evan and Ignacio are our founding engineers, both joining us from AWS. Evan earned a Masters in CS at Penn and built the first working example of agentic commerce. Ignacio studied CS at Duke with Alex + George and worked on agentic commerce at AWS. Our team is all engineers; we ship fast. Unfortunately, we are not able to sponsor visas at this time. You must have authorization to work in the US. Our progress so far We’ve indexed 100M+ products 1500+ developers have started using our API We’re scoping p...
First seen: 2026-01-20 12:34
Last seen: 2026-01-20 14:34