Paste a LinkedIn URL or X handle. Get back 3–4 people with the same career DNA — trajectory, archetype, rare skill combinations — not just the same job title.
Career arc
Defining traits
The same pipeline a human researcher runs — turned into an algorithm.
Reconstruct the full profile from the open web — education, every role, the company's actual product.
Distil 5–8 defining dimensions — career arc, domain pivots, rare skill combos — each weighted by how distinctive it is.
Turn the trait vector into multiple neural search queries. You can't find a lookalike with one search — you search across trait combinations.
Exa neural search surfaces people by career meaning, not keywords, then results are merged and de-duplicated.
Each candidate is scored on every trait axis (0–1), weighted, and ranked. The top 3–4 come back with a note on what matches — and what doesn't.