Career-Ops — Open-source AI agent scans job portals, evaluates listings, tailors CVs, and tracks applications.
Analyzed by Sai Pavan Gopularam · AI · Job Tech · View on GitHub
- Stars: 72325
- Forks: 13615
- Commits last 30 days: 100
- Health: Active (100 commits this month)
- Language: JavaScript
- License: MIT
What It Is
Career-Ops is an open-source AI tool that acts like a personal, highly efficient job search assistant. Imagine having an AI-powered recruiter dedicated solely to you, sifting through hundreds of job postings, identifying the best fits, and even customizing your resume for each application. It runs locally on your machine, using your preferred AI coding CLI.
This tool solves the overwhelming problem of modern job searching: the sheer volume of unsuitable listings and the time-consuming process of tailoring applications. It cuts through the noise, helping job seekers focus their efforts on roles where they genuinely have a strong chance, saving countless hours and reducing burnout.
License Verdict
MIT License — Build and Sell Freely — Commercial Use Approved • No Copyleft Restrictions
The MIT license is highly permissive, allowing you to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the software. You can integrate Career-Ops into proprietary products and sell them without needing to open-source your own modifications or additions. Just ensure the original MIT license is included in your distribution.
How to Use It
Setting up Career-Ops is straightforward. The fastest method uses `npx` to initialize a project directory, install dependencies, and guide you through configuration by chatting with your AI CLI. Alternatively, you can clone the repo and manually install dependencies.
Prerequisites:
- Node.js
- AI Coding CLI (e.g., Claude Code, Codex, Antigravity)
- Playwright (for PDF generation)
Estimated setup time: 10 minutes.
npx @santifer/career-ops init
cd career-ops
claude # or codex / opencode / agyWhat I'd Build With This
Hyper-Specialized Job Search AI (micro-saas)
Build a hosted version of Career-Ops tailored for a very specific, high-paying niche, like 'Senior Rust Developers in Web3' or 'AI/ML Engineers in Healthcare'. Users upload their CV and define their niche, and your service provides daily curated job evaluations, tailored CVs, and application tracking. You handle the AI infrastructure and updates, providing a polished UI on top of the local-first core.
Effort: 3 Weeks Build Time · Target: Niche Tech Professionals · Pricing: $99/mo
AI-Powered Career Coaching Platform (saas)
Develop a comprehensive career coaching platform for job seekers, integrating Career-Ops' core functionalities. Offer premium features like advanced analytics on application patterns, personalized interview prep modules using the 'Interview Story Bank', and direct access to human career coaches for strategy and negotiation. The AI handles the heavy lifting, freeing coaches to focus on high-value human interaction.
Effort: 3 Months Build Time · Target: Mid-to-Senior Professionals, Career Changers · Pricing: $199/mo (tiered)
Recruiter-Facing Candidate Matching & Outreach (enterprise)
Adapt Career-Ops' evaluation and tailoring capabilities for internal use by recruitment agencies or large enterprises. Instead of a job seeker's CV, it matches internal candidate profiles against new job requisitions, identifies skill gaps, and drafts personalized outreach messages or internal transfer proposals. This helps recruiters quickly surface best-fit internal talent or efficiently match external candidates to roles.
Effort: 6 Months Build Time · Target: Recruitment Agencies, Large HR Departments · Pricing: $500 - $5,000/mo (per seat/volume)
Sai Pavan Gopularam's Take
Career-Ops is a brilliant example of building an agent that truly empowers the user, not replaces them. The 'human-in-the-loop' design is key for trust in sensitive areas like job applications. I think a niche, hosted version for $99/month could easily capture 100 paying users within a year, hitting $10K MRR.
Watch Out For
- Initial Evaluations Need Context: The system doesn't know you at first. You need to feed it context (CV, career story, preferences) for the evaluations to become accurate and useful. Think of it as onboarding a new team member.
- No Automated Submissions: Career-Ops explicitly does not submit applications, send emails, or phone home. It prepares everything for you, but you remain in the loop for the final review and action, ensuring human oversight.
- CV Reformulation, Not Fabrication: While the tool reformulates your CV, it must never fabricate details. Always review generated CVs and cover letters before sending to ensure accuracy and prevent unintended embellishments.
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