career-ops-hq on GitHub

career-ops

Read the source on GitHubProject homepage

What it does

An editorial selection.

Open-source AI job-search agent that scans boards, scores fit, checks a listing is still open, tailors your CV and drafts answers. You press Submit.

Why it is listed

Built by a job seeker who used it to land a job. Runs on your machine.

GitHub describes it as: Open-source AI job search agent and job finder: scan job boards, score each job 1-5 against your CV before you apply, tailor an ATS-friendly resume and cover letter, get interview prep and a job application tracker. It helps you fill in each application; you press Submit. Runs locally in your AI coding CLI (Claude Code, Codex, OpenCode and more).

Counts were observed on 27/10/2026, 23:15:40 UTC. Observations older than 36 hours are excluded from current movement rankings.

Repository at a glance

Stars
77,907
Forks
14,410
Open issues
236
Merged PRs
2,854
Commits, last 30 days
1,105
Stars, 7 days
unavailable
Stars, 30 days
unavailable

Counts observed on 27/10/2026, 23:15:40 UTC. Growth uses complete dated windows; see Methodology.

History

History: 2 observations, 2026-10-27 to 2026-10-28. Dots are observations; lines connect consecutive daily observations only.

Project details

Language
JavaScript
Licence
MIT
Created
Last push
Observed

Explore and get started

Use the project's own documentation for supported platforms, dependencies and installation steps. The README and release notes are maintained by career-ops-hq.

Development context

These are observations of work in the repository. They do not establish quality, security or support commitments.

Total commits on default branch
3,538
Open pull requests
210
Closed issues, lifetime
1,655
Median time to close an issue
3.8 days
Median time to merge a pull request
0.4 days

Close and merge times use up to 20 most recently updated closed issues or merged pull requests. They omit unresolved work and are context, not a maintenance score. Sample limits.

Other projects in Data, Research & Finance, ordered by shared topics and then name. These are discovery links, not equivalence claims.

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