Watch the 60-second breakdown:
Why this matters for devs
Santiago Fernandez (@santifer) just open-sourced Career-Ops — a job-hunt orchestration layer that wraps Claude Code (or Codex / Gemini CLI / Cursor agents) and runs the entire funnel end-to-end:
- Scrapes LinkedIn, Greenhouse, Lever, Ashby, Workable, Remote OK → normalized JSON
- Scores every listing against your rubric (comp band, stack, remote policy, vibe)
- Tailors résumé + cover letter against the role's exact keywords (without lying)
- Drafts the LinkedIn DM to the hiring manager + follow-up sequence
- Builds a one-page interview brief from the company's GitHub + blog + news
He scored 740 listings. Got the offer on the one that mattered. Featured in WIRED and Business Insider. 51k+ GitHub stars in weeks. MIT licensed.
Install in 5 minutes
git clone https://github.com/santifer/career-ops.git
cd career-ops
npm install
cp .env.example .env # add ANTHROPIC_API_KEY
npm run init
State lives in ~/.career-ops/ as a Git repo — every interaction is a markdown file you own.
The pattern is bigger than jobs
This is the cleanest production example I've seen of: CLI agent = runtime, prompt files in Git = your domain logic. Same pattern is going to eat sales outreach, investor diligence, personal CRM, and content production.
Resources
- 📺 Full 60-second short on YouTube
- 📰 Long-form breakdown on gptaiclips.com
- 🎙️ GPT AI Clips Podcast on Spotify
- ➕ Subscribe to @gptaiclips
- 🛠 Career-Ops repo: github.com/santifer/career-ops
If you're automating customer pipelines instead of job pipelines, GoHighLevel is the closest equivalent for SMBs. **Affiliate disclosure: that's my affiliate link — small commission at no cost to you if you start a trial.
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