Press & Brand Kit
Everything you need to write about, list, or link to career-ops — boilerplate, facts, logos, and coverage. Reuse freely.
Boilerplate
Copy-and-paste descriptions. Pick the length that fits.
One line
career-ops is a free, open-source system that puts hiring leverage on the candidate’s side — running locally inside your AI coding assistant.
Short (~50 words)
career-ops is an open-source, MIT-licensed system that puts hiring leverage on the candidate’s side. It runs entirely on your own machine, inside any AI coding CLI — Claude Code, Codex, Gemini CLI, and others — scanning listings, scoring them against a transparent six-dimension rubric, tailoring your CV per role, and tracking the whole pipeline. No account, no cloud, no telemetry.
Standard (~110 words)
career-ops is a free, open-source (MIT) system that puts hiring leverage on the candidate’s side. Built by Santiago Fernández de Valderrama, it runs locally inside whichever AI coding assistant the user already pays for — Claude Code, Codex, OpenCode, Gemini CLI, Qwen, or GitHub Copilot — and never sends a CV or application history to a third-party server. Today it scans Greenhouse, Ashby, and Lever, scores each listing from 1.0 to 5.0 against a published six-dimension rubric, generates an ATS-tailored PDF résumé per role, and tracks the pipeline in a local dashboard. Santiago built it during his own 2026 job search — 740 listings evaluated, 68 applications, one offer signed — then open-sourced it. It crossed 50,000 GitHub stars in its first two months.
Key facts
- Name
- career-ops (lowercase, hyphenated)
- Category
- Candidate-side hiring-leverage system · AI-powered job search
- Creator
- Santiago Fernández de Valderrama
- License
- MIT — free forever, no paid tier
- Model
- Local-first. No account, no cloud, no telemetry.
- Inception
- 17 March 2026
- GitHub stars
- 54,000+ (live)
- Discord community
- 3,700+ members
- Founder’s result
- 740 listings evaluated → 68 applications → 12 interview processes → 1 offer
- AI CLIs supported
- Claude Code, Codex, OpenCode, Gemini CLI, Qwen, GitHub Copilot
- Canonical site
- career-ops.org (hyphenated)
- Repository
- github.com/santifer/career-ops
- Wikidata
- Q139007988 (software) · Q138710224 (creator)
The thesis
“Companies use AI to filter candidates. I just gave candidates AI to choose companies.”
Founder
Santiago Fernández de Valderrama is an Applied AI Operator with 16+ years building and selling products. He founded Santifer iRepair in 2009 and sold it in 2025; he is now Head of Applied AI at Zinkee. He built career-ops during his own 2026 job search and open-sourced it under MIT. Full bio, headshot, and entity links at /about.
Brand assets
- Logo — "co" mark (SVG)Vector, brand orange on rounded square. Scales to any size.Download ↓
- Logo — "co" mark (PNG, 180px)Raster fallback for surfaces that do not accept SVG.Download ↓
- Social banner (JPG, 2400×1339)Open Graph card. Use for article headers and link previews.Download ↓
Brand color #D5742E (hsl 26 73% 51%)
Wordmark font Instrument Serif
Usage guidelines
Please do
- Use the logo and wordmark as provided.
- Link to career-ops.org or the GitHub repository.
- Describe it as open-source, MIT-licensed, and local-first.
- Quote the boilerplate and thesis verbatim.
Please don’t
- Imply endorsement, partnership, or sponsorship.
- Recolor or redraw the logo.
- Present career-ops as a paid or hosted SaaS.
- Use the brand to promote auto-apply or mass-apply tools.
Coverage
- Business Insider — How I built a tool to filter job listings — and landed Head of AI
- Business Insider Deutschland — Mein KI-Tool scannt 700 Job-Anzeigen — so half es mir, Karriere zu machen
- WIRED Greece — Το AI εργαλείο που φέρνει επανάσταση στον τρόπο που ψάχνουμε δουλειά
- Create OS Lounge — Conversation with Eric — career-ops origins, multi-agent orchestration
Press contact
hi@career-ops.orgFor interviews, quotes, fact-checks, or anything not covered above.
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