ChatGPT analyzes candidates you already found. Hirelix does the sourcing work: paste a technical JD and its AI agents find real passive candidates, evaluate the pool against the role, and return ranked profiles with matching evidence, risks to verify, and personalized outreach drafts. It turns a job description into a recruiter-ready workflow instead of another chat window.

Hi Product Hunt — I built Hirelix after watching technical sourcing start the same way every time: a recruiter opens too many tabs, manually searches profiles, then pastes fragments into ChatGPT to compare candidates and draft messages. The key difference is simple: ChatGPT analyzes the candidates you bring it. Hirelix finds the candidates, evaluates the pool against your JD, and delivers evidence-backed profiles ready for outreach. Paste a real client JD and Hirelix runs the workflow: sourcing passive candidates, evaluating the pool role by role, surfacing matching evidence and risks to verify, and preparing personalized outreach drafts. It does not automatically contact anyone—the recruiter stays in control. We’re building this for technical recruiters and small search firms. I’d especially value feedback on the evidence and decision support you need before you are willing to contact a passive candidate.

Sourcing candidates with actual evidence tied back to the JD (instead of just keyword matching) sounds like it could cut down a lot of noise in the shortlist. How does it define "evidence" — GitHub activity, past project descriptions, something else?

Hirelix

Evidence-backed candidates from a technical JD

Evidence-backed candidates from a technical JD