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Professional networking limited to people you've physically met

AI-discovered

Problem

LinkedIn connections have become meaningless — people ask for intros to connections who don't actually know each other. There is no professional network where a connection certifies a real-world meeting, so social proof in professional networking is broken.

Opportunity

A networking app where connections require physical co-location verification (QR scan or shared selfie at meeting time), producing a trusted graph where every link means a genuine encounter.

Market analysis

The pain is real (LinkedIn intro requests are broken social proof) and no mainstream tool verifies in-person meetings, but this is a textbook network-effects cold start with consumer networking monetization history working against it.

Market · Conference-goers, founders, and local professional communities; adjacent apps (Shapr, Intch) show interest but never proved durable demand for consumer networking.

Pricing · Consumer networking apps cluster around freemium; the only strong comparable willingness-to-pay is LinkedIn Premium (roughly $40/mo), driven by recruiters, not networkers.

score 4/10 by glm-5.1

Pros

  • + Verified-encounter graph would be a genuine trust moat if achieved.
  • + Pain is felt most acutely by well-connected people who spread tools.
  • + Could bootstrap inside a single conference or professional community.

Cons

  • − Classic two-sided cold start with no incumbent to piggyback on.
  • − QR verification is spoofable — remote code exchange defeats the core promise.
  • − Thin willingness to pay outside recruiter-driven use cases.

Existing / similar tools

Source

Hacker News (Ask HN)

Open original thread ↗

The QR scan is the weakest link: two people can exchange codes over a video call and defeat the entire “physically met” guarantee, so the integrity of the graph rests on the honesty of the least honest user. A defensible version anchors verification to a third party — conference badge scans, venue check-ins, or co-located GPS traces at the same timestamp — trading friction for actual trust. And the graph only matters once the densest connectors in a given scene adopt it, which argues for launching inside one conference ecosystem rather than as a general app.