Juicebox (PeopleGPT) vs Kaspr

Summary

Juicebox (PeopleGPT) and Kaspr solve different sourcing problems. Juicebox is a search engine that queries 800M+ profiles using natural language instead of Boolean strings. You describe who you want and its AI ranks candidates by fit. Kaspr is a contact extraction tool: you find people on LinkedIn yourself, then Kaspr pulls their phone numbers and emails in one click. Juicebox searches across platforms; Kaspr lives inside LinkedIn and extracts data from profiles you're already viewing. Pricing and volume expectations differ. Juicebox starts at $79/month with a free tier, aimed at teams running 10+ searches per month. Kaspr is freemium with unspecified paid tiers, built for individual sourcers who need 20-50 contacts per day. Juicebox's AI scoring works best when you're filling similar roles repeatedly (5-10 software engineers, 3-4 sales ops managers). Kaspr's extraction speed matters when you're blitzing LinkedIn for a single urgent hire or building lists for outbound campaigns. Data completeness is the real tradeoff. Juicebox pulls from public profiles globally but contact accuracy drops outside North America and tech verticals. Kaspr's verification rates vary by seniority (C-suite contacts are harder) and geography. Juicebox users report 60-70% email accuracy; Kaspr's phone number hit rate hovers around 50-60% depending on industry. Neither replaces manual verification, but Juicebox handles volume sourcing while Kaspr handles rapid LinkedIn extraction.