The most frustrating part of mass-applying to jobs isn’t the number of applications—it’s that you have no idea which roles truly fit you, you forget which companies you’ve applied to, and following up requires manual spreadsheets that are time-consuming and error-prone.
Recently, I found an open-source tool on GitHub called JobOps that turns the entire job search process into an automated AI workflow:

• Automatically scrape job postings from major recruitment platforms
• Use AI to match and score jobs based on your personal experience
• For high-scoring roles, automatically generate a customized PDF resume tailored to the job description and submit it
• Connect your email to automatically track incoming messages, identify interview invitations/rejections, and update your application status in real time

Project URL: https://github.com/DaKheera47/job-ops…
Supports one-click local deployment via Docker, keeping your data safely on your machine. If you’re currently job hunting, this is worth a try.

DaKheera47/job-ops

Source: https://github.com/DaKheera47/job-ops

JobOps

One search across every board. One click to tailor your CV. One place to track it all.

Your ironman suit for job hunting. You still apply to every job yourself. JobOps just makes you ten times faster.

Stars (https://github.com/DaKheera47/job-ops) GHCR (https://github.com/DaKheera47/job-ops/pkgs/container/job-ops) Release (https://github.com/DaKheera47/job-ops/actions/workflows/ghcr.yml) Contributors (https://github.com/DaKheera47/job-ops/graphs/contributors)

800+ users · 4,000+ job searches run · #3 on GitHub Trending for TypeScript

What is JobOps?

JobOps searches LinkedIn, Indeed, Glassdoor and 10+ job boards from one screen, rewrites your CV for each role, scores your fit, checks visa sponsorship status, and tracks every application in one place. It does not auto-apply. Recruiters can tell when applications are automated and it gets you blacklisted. JobOps gives you the speed without sacrificing quality.

https://github.com/user-attachments/assets/ec5bc249-aad5-41f2-b1ff-f7b3b6e6f7b8

Quick Start

Prefer a guided walkthrough? Follow the Self-Hosting Guide (https://jobops.dakheera47.com/docs/getting-started/self-hosting).

git clone https://github.com/DaKheera47/job-ops.git  
cd job-ops  
docker compose up -d  

Open http://localhost:3005 and follow the onboarding wizard. You’ll be searching in under 10 minutes.

How It Works

Supported Job Boards

Custom extractors can be added via TypeScript. See the extractor docs (https://jobops.dakheera47.com/docs/extractors/overview).

Post-Application Tracking

Connect your Gmail and JobOps watches for recruiter replies automatically.

• “We’d like to invite you to interview…” → Status updates to Interviewing
• “Unfortunately we won’t be progressing…” → Status updates to Rejected

No manual updates. No spreadsheets. See the tracking docs (https://jobops.dakheera47.com/docs/features/post-application-tracking) for setup.

AI Providers

JobOps works with the model provider you already use:

• Codex (local app-server in Docker, authenticated with codex login)
• OpenAI
• Google Gemini
• OpenRouter
• Any OpenAI-compatible endpoint (Ollama, LM Studio, etc.)

Cloud

Don’t want to self-host? JobOps Cloud gives you your own hosted instance with nothing to install.

Self-hosted will always be free and open source.

Documentation

• Documentation Home (https://jobops.dakheera47.com/docs/)
• Self-Hosting Guide (https://jobops.dakheera47.com/docs/getting-started/self-hosting)
• Feature Overview (https://jobops.dakheera47.com/docs/features/overview)
• Orchestrator Pipeline (https://jobops.dakheera47.com/docs/features/orchestrator)
• Extractor System (https://jobops.dakheera47.com/docs/extractors/overview)
• Troubleshooting (https://jobops.dakheera47.com/docs/troubleshooting/common-problems)

Contributing

Contributions are welcome. Whether it’s code, docs, or new extractors, start with CONTRIBUTING.md.

Special Thanks

Open-source tools and communities that make JobOps possible:

• jobspy (https://github.com/Bunsly/JobSpy) — Python-based multi-source job scraping library powering the jobspy extractor

Star History

Analytics

JobOps includes anonymous usage analytics (Umami) to help improve the product. To opt out, block umami.dakheera47.com in your firewall or DNS.

License

AGPLv3 + Commons Clause

You can self-host, use, and modify JobOps freely. You cannot sell the software itself or offer paid hosted services whose value substantially comes from JobOps. See LICENSE.

Built by Shaheer Sarfaraz (https://github.com/DaKheera47)
Website (https://jobops.app) · Cloud (https://jobops.app) · Documentation (https://jobops.dakheera47.com/docs/) · Ko-fi (https://ko-fi.com/shaheersarfaraz)