AI-powered resume review with brutally honest feedback
Stage
Not given
Startup
Founded
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Based in
US
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Pricing model
Freemium
Freemium
Pricing
Credit packs: 1,000 credits for $19.90 (30-day expiry) or 3,000 credits for $39.00 (90-day expiry). Subscriptions: Starter at $15.90/month or $159.00/year (1,000 credits/month); Pro at $29.90/month or $299.00/year (3,000 credits/month). Credits cover job searches (up to 10 credits), resume compariso
Free plan includes editor, templates and PDF export. Hunter Pass subscription: $15/month or $39 for 3 months (billed once, save 13%), includes 200 credits a month for approximately 50 applications with tailored resumes and cover letters. One-time resume fix option: $19. Credit packs: Boost 100 credi
Key features
Resume-to-job matching with evidence scoring
Automated resume tailoring for specific roles
AI-powered cover letter drafting
Interview question practice with STAR examples
Application tracking and organization
Automated job applications via Greenhouse and Lever
Free resume checklist tool
AI-powered resume analysis with scoring and feedback
Resume tailoring for specific job postings
ATS compatibility checking
Multiple language support
AI resume builder with chat editing
Tailored cover letter generation
Live job search with intelligent filtering
Interview preparation with flashcards
MCP agent and CLI integration
What makes it different
Evidence-based matching that shows which requirements your resume supports versus which need clarification
Tailoring grounded in confirmed facts, never inventing skills or achievements
Consolidated workspace connecting jobs, tailored resumes, and application tracking
Free access to initial job searches and trial credits
Built on real hiring data from 12,000+ job postings, 3,200+ Reddit threads, and 850+ recruiter feedback pieces rather than generic resume advice
Enforced honest scoring and brutal feedback instead of flattery
Autopilot automation works across multiple AI agents and interfaces including Claude Code, CLI, and MCP servers
Tested resume rewrites that maintain factual accuracy while optimizing for ATS and screening models