RejectCheck

The tool examines a submitted CV and augments the analysis with data from the applicant’s GitHub and LinkedIn profiles. It runs a dual‑AI pipeline (GPT‑4o and Claude) that simulates applicant‑tracking‑system scoring, identifies skill gaps, and highlights red‑flags such as unexplained employment gaps, missing impact metrics, or vague seniority language. The output includes a radar of technical competencies compared to the job description, a list of critical issues in public repositories, and a summary of LinkedIn profile weaknesses.

Designed for developers seeking to understand why a job application may be rejected before it reaches a recruiter, the service provides concrete remediation suggestions—e.g., adding README documentation, configuring CI/CD, filling activity gaps, and improving LinkedIn endorsements. The analysis is delivered in under a minute and is presented as a single diagnostic readout rather than a simple score.

The platform operates as a distributed, event‑driven microservice architecture, offers a free tier with no guest data retention, and supports bilingual usage. It is positioned as an experimental productivity aid for job‑search candidates who want detailed, actionable feedback on their résumé and online professional presence.