Know which headline wins before you spend traffic on it.
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Pricing model
Paid
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Pricing
Credits start at ₹99 for 5 credits (₹19.80 per credit). Professional pack: ₹159 for 10 credits (₹15.90 per credit). Recruiter Season: ₹399 for 25 credits (₹15.96 per credit). Executive: ₹599 for 50 credits (₹11.98 per credit). New users get 2 free credits on signup with no card required.
Free: $0/month with 5 rankings and 60 Claude-written options monthly. Creator: $19/month with 100 rankings and 2,500 options. Pro: $49/month with 600 rankings and 6,000 options. Agency: $149/month with 3,000 rankings and 20,000 options.
Key features
Match score and gap analysis against job posting
ATS-friendly PDF generation with clean hierarchy and searchable text
Skills added only when justified by experience, no invented content
Line-by-line gap analysis comparing experience against job requirements
Two free regenerations per session to refine tailored resume
Automatic credit refunds for failed generations
15-day archive for reviewing and downloading past resumes
Local CLI version available for offline use
Off-grid security mode with temporary memory storage
Support for text-selectable PDF uploads up to 5 MB
Head-to-head comparison of up to 200 variants
Bradley-Terry model ranking with calibrated odds
Honest uncertainty verdicts: Clear, Lean, Too close to call
Brand profiles to calibrate accuracy on your audience
Works for YouTube titles, subject lines, ad headlines, and article headlines
Accuracy measured on 9,841 held-out A/B tests
What makes it different
Private by design with no data selling, AI training on documents, or third-party trackers
Failed runs cost nothing and come with 2 free regenerations
Free open-source local version for self-hosting with same capability
Built specifically for ATS compliance with no prompt engineering needed
82% accuracy on clear calls, trained on thousands of real A/B tests never seen during tuning
Honest about uncertainty instead of always crowning a winner
56 times cheaper than Claude Sonnet while maintaining comparable accuracy
Custom calibration to your audience's behavior via brand profiles
Compare versions in both orders to cancel out model bias
Indom
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