Professional networking is broken — and we felt it firsthand. As founders trying to build in the AI space, we spent countless hours sending cold messages, attending random events, and following up on introductions that went nowhere. The people we most needed to meet were either unreachable or drowned in noise. We kept asking: why does this still feel so manual in 2024?
David had spent 6 years inside LinkedIn building the AI infrastructure that powers connections for over a billion people. He saw up close what the platform couldn't do — and why. That insider frustration, combined with the emergence of agent-to-agent communication as a real technical primitive, made the opportunity undeniable. We didn't just want to make networking better. We wanted to rebuild it for the agentic era.
The hardest problem we faced was the classic cold-start: a network of Digital Twins is only valuable if other Twins exist to talk to. We couldn't just build the product and wait. So we invented our own forcing function — Agents Meet, a series of IRL networking events where our matching technology gets put to work with real, high-intent attendees. Events gave us warm users, real relationship data, and a reason for people to claim their Digital Twin before the full platform launched.
It worked. Agents Meet has now run across GTC, CES, GDC, HumanX, and multiple Tech Weeks. A 21% mutual connection rate that outperforms cold outreach by orders of magnitude. What started as a GTM tactic became our most powerful proof point: when you match people with precision, the network builds itself. We're building the LinkedIn of the A2A era — and we're doing it one great introduction at a time.
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