CLUSTER JOB-WEB-ANALYZES · 25 ENTRIES · EARLIEST ENTRY 2026-10-07
Resume analysis and job matching
This cluster consists of web apps that analyze resumes to give feedback to job seekers, recommend matching job openings, and provide feedback on job offers and resumes to improve candidates' chances. The dated history shows single entries in five separate months from March 2025 to January 2026, indicating sporadic early emergence. The traction leaders, all with 0 stars, are e4ccrecruitmentprocess, ai-job-finder, and Minnow.
Entry timeline
ENTRY TIMELINE
Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.
Members by activity
Activity signals, not revenue.
Build origin · 1 ai-built · 4 unlabelled
Operator · 1 commercial · 4 unlabelled
Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 5 listed below. Unlabelled means nothing has decided yet — not that the answer is small.
- 21Offer Match0★unknownliveWeb app that provides feedback on job offers and resumes to help candidates improve their chances.
- 22Know Your Worth in Web30★unknownliveWeb app that helps job seekers evaluate whether a Web3 job offer is worth taking.
- 23Career Craft | Resume Optimization & Job Search0★unknownlivecommercialWeb application that helps job seekers optimize their resumes, search for relevant job openings, and accelerate their career progression.
- 24CV Job Recommender0★unknownliveai-builtWeb app that analyzes a candidate's resume and recommends matching job openings for job seekers.
- 25Job Tracking0★unknownliveWeb app that lets users answer questions about a job position and returns an analysis of the result.
Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.