Why verified skills beat LinkedIn endorsements
LinkedIn endorsements gamified everything and verified nothing. Here's how peer verification changes the math.
LinkedIn showed the world what happens when you gamify skills without verifying them: everyone becomes a "Growth Hacking Expert" and nobody trusts the label.
The problem isn't endorsements. It's unverified endorsements — a single click from a stranger, no cost, no context.
Peer verification on ScopeCred works differently:
- Each endorsement requires a signed-in ScopeCred user with their own trust score at stake.
- We need three unique peer endorsements before a skill flips to
verified: peer_verified. - Self-endorsement is impossible (400 error at the API layer).
- Every endorsement is logged in the audit trail — recyclable-off-platform.
The result is a small number of high-signal endorsements instead of a large number of noise.
Why three?
Three endorsers is the Goldilocks number for peer-based social proof. It's rare enough to signal genuine work (getting three professionals to vouch is harder than it sounds), common enough to not gate real talent, and small enough that gaming it requires coordinated sockpuppet accounts — which we detect via wallet + IP + trust graph clustering.
What this means for hiring
A profile with three peer-verified skills and a portable trust score isn't the same product as an Upwork profile. It's a piece of infrastructure. Anyone — including our competitors — can query GET /api/u/:handle and see the signed reputation.
That's the direction reputation is going. And it starts by refusing to accept unverified endorsements as data.