Tailored CV, cover letter, and ATS feedback for every job application
AI-powered resume review with brutally honest feedback
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Freemium
Pricing
Free plan: 10 AI generations every calendar month. Paid plans with unlimited generation (subject to fair use) available as: Weekly US$4.99, Monthly US$14.99, Quarterly US$34.99, Yearly US$99.99 (USD, outside India). India pricing: Weekly ₹199, Monthly ₹599, Quarterly ₹1,299, Yearly ₹3,999 (INR).
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
Role-specific CV generation tailored to job description
Matching cover letter with over 350 words
ATS guidance with keyword and gap analysis
PDF export of generated documents
Saved document history and application tracking
Multiple resume profiles for different roles
Evidence-led achievement presentation
Free tools for job search
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
Emphasis changes per role while core career record stays fixed
Complete application workflow in one place
ATS guidance based on common parsing patterns
Fast generation under one minute
Role-based team model focused on user workflow design
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