GitHub

Your resume, re‑angled to every job.

Open a job posting, click once. fast‑CV rewrites the resume you already have to match it — in your own format, on one page, editable and ready to download as a PDF. Every line is cited back to what you actually wrote.

See how it works View source
jobs.example.com AI Engineer, Retrieval

Alex Rivera

[email protected] · github.com/alexr · Bengaluru

Experience
Software Engineer, Northwind Labs2022 – Present
    Skills

    Reading job post
    • Bullets cited—
    • Unattested terms—
    • Skills added—
    • Pages—
    • Gaps, kept out—
    1 pageYour format, fitted to A4
    0Skills, employers or numbers invented
    4LLM providers, local or keyed
    127.0.0.1Server never leaves localhost
    How it works

    From job posting to PDF, without leaving the tab.

    Every stage is small, checkable and yours to override.

    1. 01

      Read

      The extension pulls the job description off the page — LinkedIn, a careers site, anywhere.

    2. 02

      Tailor

      Each section is re-ordered and re-worded toward the role, using only what your resume already says.

    3. 03

      Verify

      Every bullet must cite its source. Uncited bullets fall back to your original; unattested terms turn red.

    4. 04

      Fit

      A compression ladder tightens spacing until it holds one page — or tells you exactly how much to cut.

    5. 05

      Export

      Click any line to edit it, then download a PDF rendered in the same fonts and geometry as your original.

    Guarantees

    Tailored, not fabricated.

    Enforced mechanically — not by asking the model politely.

    Cited, never invented

    Every rewritten bullet points at the bullet it came from. No citation, or too little overlap, and your original is restored.

    Your format, to the point

    Same Latin Modern fonts, same A4 page, same margins and baselines — fitted against your PDF, not approximated.

    Gaps, kept separate

    What the job wants that you don't have is listed on the side — so you decide whether to apply, not the model.

    Local by default

    Run fully offline with Ollama, or bring your own Gemini, OpenAI or Anthropic key. Your resume stays under your control.

    Stack

    Small, local, inspectable.

    Apply with the resume you already have.

    Clone the repo, run the server, load the extension.

    Get the code