ResumeTriager — Resume inflation scoring desk

Help small teams screen out resumes whose years don't match their titles

Problem

Developers who hire report fatigue from manually checking resumes where titles don't match responsibilities, quantified numbers are inflated, and timelines overlap. An open-source tool already scores role, seniority, technical strength, and inflation suspicion, proving the demand is real—but non-technical hirers struggle to deploy it.

Solution

A ready-to-run bulk resume checker: drop a folder of PDF/DOCX/TXT files, call a user-configured LLM in parallel, and get role category, seniority level, technical strength 0–10, and inflation suspicion 0–1, with suspicious timelines and buzzword stuffing highlighted. Users bring their own API key so resumes stay local or go through their own gateway.

Users

Technical interviewers and HR at small companies, outsourcing team leads, university labs screening intern resumes

MVP

Bulk folder import; parallel calls to user-configured LLM; four-dimension score with inflation reasons; CSV/table export for comparison; local-only storage

Revenue

Desktop one-time purchase (e.g. $19–39) plus per-seat team subscription; private deployment via API billing for recruiting platforms

Why now

LLM structured scoring is now cheap enough for individuals, AI resume inflation awareness is rising fast, and large ATS vendors only serve big customers—leaving a gap for small teams