Recruiters check your LinkedIn. They open your GitHub. They compare. One contradiction between your sources and you're out. Before the interview.

We don't sell a magic ATS score. We tell you what a human would think.
We reconcile your CV, LinkedIn, GitHub and cover letter against one job. Every conflict is named, traced back to the sources it came from, and weighed in your score.
We open your public work: repos, activity, language mix, project depth, or the case studies in your portfolio. Then we weigh it against what the job actually asks.
We rebuild one timeline from every source you give us. Dates that disagree between two profiles, overlapping roles and months you never explained all surface here.
"5+ years" and "8 years" read very differently. We map your titles, scope and tenure against the band the job describes, and flag titles that stay vague.
A bullet without a number is an assertion, not evidence. We flag each one, show where a true number belongs, and mark the lines that read like a template.
Most ATS don't auto-reject on a keyword score. We check your file parses cleanly and carries the terms the job weights. It decides what a recruiter sees, not whether they say yes.
It tells you you'd be rejected, and names the reason. A number on its own isn't an answer.
Rewrite what it flags, re-run the audit, and see the score move. Not a one-shot report you read once and close.
Your structure is benchmarked against hundreds of real resumes in your field. Strong means the top quartile, measured, not a feeling.
Suggested rewrites arrive with placeholders. Until you put a real figure in, they don't count toward your score.
Your score, your missing keywords and your red flags are free, permanently. The paywall is on the fixes, never the diagnosis.
No trial trap, no card required to test it, cancel in one click from your account.
No manufactured claims. Every fact below is verifiable by reading the privacy policy or the product itself.
Every analysis is anchored to a real job description, not a generic CV scan. RejectCheck measures keyword gaps, seniority fit, tone match, and required skills against the actual posting you're applying to. A CV that scores 90% on one role may score 50% on another.
The scored diagnosis streams in around a minute on a typical CV + job description pair; the deep pass (per-issue fixes, project recommendation, ATS keywords) is then generated and delivered right after.
English and French are both first-class: UI, analysis output, keyword detection, tone audit and FAQ are fully localized, not machine-translated as an afterthought. Most CV tools in this category ship English only.
Guest users get 1 full analysis without signup or credit card, not a teaser. Registered (free) users get 3 analyses. Premium sections are blurred, not absent: the full analysis runs and is saved, only gated views are hidden until upgrade.
For guest scans, your CV, the job description and the result are automatically deleted from our database within 7 days. After that only your IP and a timestamp remain, to enforce the one-analysis-per-guest limit. Registered users' analyses stay in their dashboard until they delete them, and no data is ever used to train AI models.
If you subscribe to Hired (39.99 EUR/month) and land a job during an active billing month, we refund that month on receipt of an accepted offer letter. This is a contractual guarantee clause, not marketing language.

“During my job search I built the tool I wish existed, this same tool got me 4x more interviews and a job in 2 months”
Best job search tool I've ever used. Went from 0 callbacks to 3 in a week.
The advice is really good.
This is a really great tool!
See the real reason you'd be cut, for free. Pay only when you want the fixes that move the score.
Everything you need to know about RejectCheck before you upload your CV.
RejectCheck is an AI-powered CV and job application diagnosis tool. In about a minute, it shows you exactly why your application is getting filtered - running a multi-pass Claude pipeline (a Sonnet diagnostic for ATS fit, red flags and skill-gap radar, plus a Haiku pass that cross-references your GitHub and LinkedIn) against the specific job description.
Upload your CV and paste the target job description. RejectCheck runs a multi-pass Claude pipeline: a fast Sonnet diagnostic (ATS keyword/format check, tone audit, red-flag detection, technical skill-gap radar) plus a Haiku pass that cross-references your CV, LinkedIn and GitHub. The scored diagnosis arrives in about a minute, with the deep fixes generated right after.
An Applicant Tracking System (ATS) is the software recruiters use to store and rank applications. Contrary to a popular myth, most ATS don't auto-reject you on a keyword score. A human recruiter still makes the call, usually in a 6-second scan. So RejectCheck does both: it checks the machine-readable layer (parsing + the keywords weighted by the job description) AND tells you why a human would set your CV aside. We show you the real reasons, not a magic pass-rate.
Yes. The Free plan is free forever: 1 deep analysis (no signup) or 3 analyses for registered users, with ATS simulation, tone audit, red-flag detection, and CV score. Premium plans (€19.99 or €39.99 per month) unlock 15 or 30 full analyses per month, CV rewrite, and extra runs you can buy anytime that never expire.
Yes. Add your GitHub username and a LinkedIn PDF export at analysis time. Claude audits commit history, repo quality, language distribution, and project relevance against the target role, and cross-references your LinkedIn profile (titles, summary, recommendations) with your CV to catch inconsistencies.
RejectCheck runs on Anthropic Claude: Sonnet for the diagnostic (ATS keyword/format check, CV audit, red-flag detection, technical skill-gap radar) and Haiku for the multi-source profile digest (GitHub/LinkedIn cross-reference), plus Google Gemini for optional starter-repo generation. The privacy policy documents which provider processes which data.
Most CV tools sell a magic "ATS score" and stop at a generic keyword list. RejectCheck judges your rejection risk against the specific job description, visualizes skill gaps on a radar chart, audits GitHub and LinkedIn as extra signals, recommends a concrete project (with a generated starter repo) to close real gaps, and tells you why a human recruiter would set your application aside. It is bilingual (English and French).
The rejection arrives in silence. Or it doesn't arrive at all.
We just thought you'd want to know first.
Made in Paris · by Lenny Garnier & Arshiyaa Rai · Co-Founders