HireEZ vs Skima AI

Summary

HireEZ is an outbound sourcing platform built to find candidates across the open web-LinkedIn, GitHub, Stack Overflow, 45+ sources aggregated into one searchable database. It's strongest when you're sourcing net-new talent, building pipelines from scratch, or running diversity-focused campaigns with demographic filters baked in. You pay $169/user/month minimum, which prices out smaller teams but makes sense if you're an agency placing 20+ hires monthly or a corporate team that lives in sourcing mode. The Chrome extension is fast, the boolean builder is solid once you climb the learning curve, but contact accuracy is hit-or-miss like most web-scraping tools. Skima AI works differently: it searches your existing resume database (ATS, CRM, email archives) using natural language instead of boolean logic. Type "backend engineer who's worked in fintech and knows Rust" and semantic matching surfaces candidates you'd miss with keyword searches. It's a search layer, not a sourcing engine-it won't find people outside your database. The freemium model means sourcers can test it without budget approval, but the value proposition assumes you already have a database worth mining. If your ATS has 10,000+ resumes and you're constantly re-sourcing old pipelines, Skima saves hours. If you're building pipelines from zero, it does nothing. The core tradeoff: HireEZ finds new people, Skima resurfaces people you already have. Most teams need outbound sourcing (HireEZ's lane) more than they need better internal search (Skima's lane), but sourcers drowning in ATS clutter will get immediate value from Skima's semantic layer. They don't overlap much in practice.