Fetcher vs HiredScore

Summary

Fetcher and HiredScore solve opposite problems. Fetcher is a sourcing machine: you describe a role, it scrapes LinkedIn and other channels, then delivers batches of verified candidates to your inbox twice a week. You're paying for top-of-funnel volume without burning hours on Boolean. HiredScore sits inside your ATS and ranks the candidates already there. It scores resumes, flags skills gaps, automates interview scheduling, and surfaces who to call first when you have 800 applicants for one req. Fetcher is outbound automation; HiredScore is inbound triage. The pricing and scale tell the story. Fetcher starts at $149/user/month and works for agencies or startups hiring 5-15 people a quarter. You get candidate leads, not orchestration. HiredScore has no public price because it's enterprise software built for TA teams running 500+ hires a year across multiple BUs. You're licensing workflow AI, compliance guardrails, and integration with Workday or SuccessFactors. Fetcher cuts sourcing time; HiredScore cuts time-to-decision when you're drowning in applications. Neither replaces a recruiter's judgment. Fetcher's batches can miss niche roles or urgent pivots because you're locked into a delivery cadence. HiredScore's AI scoring is only as fair as your historical data, so non-traditional candidates often get buried. If you're an agency juggling 20 open roles with tight margins, Fetcher keeps your pipeline moving. If you're enterprise TA with compliance audits and 10,000 monthly applicants, HiredScore keeps you from drowning. They don't compete; they live in different hiring ecosystems.