You describe the role. FastHire runs the rest.
One agent covers the whole pipeline — five product surfaces, one continuous run.
This is the real FastHire product — scroll down to see exactly how it works, from describing a role to interviews landing on your calendar.

This is what separates Relevance Score from a resume filter. We don’t just match text — we calibrate to your judgment, evaluate, and show you why.
Before anything runs live, you judge a few sample candidates — yes or no. The agent learns your specific judgment, not just keywords.
Every candidate is scored across six weighted dimensions and ranked by Relevance Score — not by how many keywords line up.
We hand you a ranked shortlist with plain-language reasoning for every match. Your team interviews and decides — FastHire never hires for you.
One agent covers the whole pipeline — five product surfaces, one continuous run.
Not a bare resume link. Every result carries the score, the reasoning, and the context you need to act on it.
Behind the scenes, the agent handles the work that makes hiring slow — sourcing, scoring, outreach, scheduling. You never lose the final call.
Six weighted dimensions per candidate — skills, experience, location, education, company fit, nice-to-have match — rolled into one Relevance Score.
Before it scores real candidates, you teach it what a match looks like for this specific role — not a generic keyword filter.
FastHire sources, ranks, and reaches out. Your team interviews and decides. It never hires for you.
Manual sourcing spreads one hire across days of scattered work. FastHire compresses it into one continuous run — −0% less time spent sourcing per role, from first search to a shortlist ready to contact.

Replace manual keyword search and disconnected outreach tools with one agent that sources, ranks, and engages candidates for every open role.
You describe the role in plain English, and FastHire drafts structured search criteria — must-have vs. nice-to-have skills and every other requirement — from it. It then sources matching candidates from 800M+ public profiles and ranks every one by Relevance Score.