CLUSTER APPLICANTS-JOB-RANKS · 6 ENTRIES · EARLIEST ENTRY 2026-10-06
Resume screening and ranking apps
This cluster consists of applications that screen resumes and rank job applicants for recruiters, with some emphasizing ranking based on qualifications. The dated history before the index start is too thin to read a shape from, as only one dated entry exists, indicating the cluster either predates the index or its members are largely undated. Traction leaders, based on activity signal, are resume_screener, ai-resume-screening-system, and Resume-Screening, each showing 0 stars.
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 · 6 unlabelled
Operator · 6 unlabelled
Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 6 listed below. Unlabelled means nothing has decided yet — not that the answer is small.
- 01ai-resume-screening-system0★3 days—Application that screens resumes and ranks job applicants for recruiters.
- 02resume_screener0★2 days—Application that screens resumes and ranks job applicants for recruiters based on qualifications.
- 03Resume-Screening0★8 days—App that screens resumes and evaluates candidates based on their profile.
- 04AI-resume-screening0★10 days—Application that screens resumes and identifies the most suitable candidates for open positions, helping recruiters shortlist applicants.
- 05resume-screener0★13 days—Application that screens resumes and ranks job applicants for recruiters.
- 06smart-resume-screener0★1 mo—Tool that screens resumes and ranks job applicants to streamline hiring decisions.
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.