Customer stories

Real teams, real outcomes.

Every story below sticks to results our customers have publicly shared.

How to read these stories

Three stories, not thirty, and every figure in them is the customer's own. Nothing here is a composite, an anonymised placeholder or a rounded-up estimate: each number comes from a named customer's own published words — nine developer roles filled in three weeks, five candidates sent and all five rated excellent. The set grows when real hiring finishes, not when a content calendar says it should.

The three are different hiring problems, so read the one that looks like yours. Subanana is volume under time pressure: nine roles at once, filled in three weeks. OlaWealth is precision: traditional recruiters sent piles of resumes, Talent Summoner sent five candidates. r2c2.ai is the sceptic's case: a founder who did not expect AI sourcing to work, interviewing the shortlist to find out.

What they share is the shape of the work. A role described in plain English, a search across public professional profiles, and a shortlist short enough to read with the reasoning attached to each name. The quickest way to learn whether that holds for your role is to brief one role and look at who comes back.

How sourcing works