


A set of recruiting skills that runs inside Claude on live data from 1B+ profiles from Crustdata. It learns your judgement with every search, ranks candidates the way you would, explains every candidate it picks, and drafts outreach into your ATS.
Crustdata Recruiter is a set of recruiting skills that runs inside Claude, powered by live data from over 1 billion professional profiles. It acts as your AI sourcing twin—learning your judgment with every search, ranking candidates the way you would, explaining every pick, and drafting outreach directly into your ATS. Instead of treating a job description as a keyword list, it builds a nuanced rubric from your hiring-manager call and the JD, then scores candidates with a one-line reason for each.
Paste the hiring-manager call and the JD. Crustdata Recruiter builds a scoring rubric with your hard gates and criteria. After the first batch, you provide feedback—"Too senior," "Not really a startup"—and it learns, reruns, and improves.
Each search returns 20 to 25 candidates, scored and accompanied by a one-line reason. You can request more batches until you have enough top-tier matches. No more wading through 700 irrelevant names.
Once you shortlist candidates, Crustdata Recruiter pulls verified email and phone numbers. It then writes directly to your ATS—Loxo or Gem—and triggers outreach in your voice, completing the entire sourcing loop in one conversation.
"It learns your judgement with every search, ranks candidates the way you would, and explains every candidate it picks."
Most AI sourcing tools read your JD as keywords and return a flood of misfits. Crustdata Recruiter does the opposite: it builds a custom rubric from your actual brief, scores candidates against it, and lets you calibrate its judgment with simple feedback. The result is a sourcing twin that gets better the more you use it—not worse.
You're tired of AI tools that return 500 irrelevant results for every specific brief, or you want to encode your own hiring judgment into a system that works inside Claude. It's especially valuable for agency recruiters who need to scale without hiring more sourcers, and for in-house teams that want to move from keyword matching to real candidate scoring.
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