Vector Search for People, Not Just Companies

Contact search is long overdue for innovation. We have had company summaries everywhere, but for people? We are still stuck with titles, skills, and employers.

Imagine if every LinkedIn profile were expanded into a real person profile.

Instead of parsing a few discrete fields, we capture a full, rich summary — including career trajectory, posts, projects completed, and results achieved.

Now we have text that can be converted into dense, rich embeddings. Running vector search against them unlocks things we have literally never been able to ask before.

Intent-Based Search

“People actively thinking about AI regulation” “Operators transitioning into leadership”

Not job titles. Intent.

Trajectory-Aware Search

“People who bridge corporate and startup worlds” “Engineers becoming founders”

Career shape, not snapshots.

Unreasonable Searches

“Strong operators without FAANG mindset” “Sales leaders who think like product managers”

Tone and mindset, not keywords.

Contrastive Search

“People like X, but more technical” “Similar background, less salesy”

Search by what you don’t want.

Why This Works

Keyword search collapses here. Vector search thrives.

At that point, contacts stop being records. They become capabilities, context, and timing.

We solved this problem for companies with our DiscoLike vector-based search. Doing this for people is the obvious next step — and we are about to bring this to the market.

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