Job seekers know they should tailor their CV for every application. Almost nobody does. Reframed, available at reframed.cc, is a single-purpose tool built around that gap: upload a .docx file, paste a job description or drop in a link, and get back a rewritten document in roughly 15 seconds with the original formatting intact — a properly structured .docx, not raw text that needs cleaning up.
The founder, posting on Hacker News as abadmos, cited research showing candidates who tailor CVs per role are three times more likely to get a callback. The tool's argument is that manual tailoring is slow and using a general-purpose LLM still requires writing prompts and tidying output — Reframed handles both in one step, zero prompt engineering required.
The more interesting claim is what happens before the rewriting starts. According to abadmos, the tool identifies the target company and reasons about its actual priorities rather than mechanically inserting keywords from the job posting. That's a harder claim to verify from the outside. It could mean a meaningful inference layer built on company data; it could also be a more ordinary LLM pass dressed up in product language. The HN thread doesn't provide technical detail, and the product page doesn't elaborate.
The product page states uploaded files are processed and never stored. Pricing isn't listed publicly, though a free tier is available.
Reframed's real competition isn't Resume.io or any other resume platform — it's the three minutes most applicants spend deciding the tailoring isn't worth the effort. Whether the company-priority reasoning claim holds up matters less in the short term if the baseline for most users is doing nothing at all.