Fetcher hands a recruiter the sourcing desk, and on Amplify, $649 a month on annual billing, a dedicated human sourcer along with it. Metix AI hands back a qualified, interested candidate already booked for a first interview. Published pricing for both, and the trade-off each buyer accepts, checked August 2026.
Read →Fourteen AI recruiting tools, every price read off the vendor's own page, most of them on 10 August 2026. Eleven publish at least one number, Paradox, Findem and GoPerfect publish none, and the gap between sticker and spend comes from three places: seats that multiply, quotas that run out, and tiers that only exist behind a sales call.
Read →SeekOut searches a claimed 1B+ profiles behind 300+ filters and hands the campaigns back to your recruiters; its quote-only Spot service delivers screened candidates instead. Metix AI prices the delivered interview itself, $49 to $299 a month, checked August 2026.
Read →One arms the recruiting team you already have, on top of the ATS you already run; the other books qualified, interested candidates on your calendar and spends a credit only when one is delivered. Published pricing and the trade-offs, checked August 2026.
Read →Keyword search finds people who used your words. Semantic sourcing reads 860M+ profiles by meaning and finds the people who do the work, with the biggest expected gains on long-tail roles.
Read →Six alternatives to LinkedIn Recruiter, with the published price for each and the recruiting work each one leaves with you. Written for startups that have nobody running recruiting.
Read →A sourcing tool hands you a list. An AI recruiter hands you interviews. Where each one stops, what stays on your desk, and how to tell them apart on one live role.
Read →Nine tools people move to when Juicebox stops fitting, with every price read off the vendor's own page on 27 July 2026, plus the widely repeated figures that do not survive a check.
Read →A recruitment-domain semantic reranking system that uses LLM-synthesized supervision and boundary-aware reranking to improve candidate retrieval recall.
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