MatchoCV

Tailor your CV to the job. Invent nothing.

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August 29, 2026 Tailor your CV to the job

I built MatchoCV because sending the same generic CV everywhere no longer works, and the job market is hard enough already. So people tailor with different tools now, which creates a new problem: most of these tools will happily add a "35% improvement in delivery time" to a bullet that never had a number. That is not tailoring, that is something you have to defend in the interview.

So MatchoCV has one rule: it invents nothing.

You upload your CV, paste a job link or the description, and it rewrites the wording, ordering and emphasis for that specific role. Every single rewritten bullet cites the line in your own CV it came from. Anything that cannot be traced back to something you wrote gets dropped before you ever see it, and anything genuinely uncertain comes to you as a question instead of a claim. That check runs in code on the server, not as a polite instruction in a prompt, so it cannot be talked around.

How it works:
1. Upload your CV (PDF or DOCX). It becomes a structured profile you can correct first and reuse.
2. Add the posting. It gets broken down requirement by requirement. 3. Review every change with its evidence, approve or reject, then export a PDF or DOCX.

2 free credits when you sign up, no card needed.

A browser extension is next, so you can tailor from the job page itself.

3 Comments

  1. 1

    The “invent nothing” rule is a meaningful differentiation.

    Curious whether users notice the evidence trail as a reason to trust the output, or mainly care about getting the tailored CV faster.

    1. 1
      Good question. So far speed is what gets people in the door, but I think the evidence trail is what makes the result actually usable. With AI-generated CVs, the bigger concern isn't whether it can rewrite a bullet quickly, it's whether you can trust what it changed and confidently defend it in an interview. I'm still early though, so I'm curious to see which part users value more as I get more feedback.
      1. 1
        That distinction makes sense. Speed gets the initial attention, but the evidence trail may be what determines whether users actually trust the output enough to use it.

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I built MatchoCV because sending the same generic CV everywhere no longer works, and the job market is hard enough already.