Qualified people keep getting ignored.
That's the problem we solve.

The CVs that go unanswered aren't wrong. The experience is real. The achievements happened. But when a nurse applies to a health tech startup, or a senior engineer moves to a new domain, their CV speaks the wrong language. It names the right things — in the wrong order, for the wrong audience, without the keywords that signal fit.

The gap isn't between what someone has done and what the role needs. It's between what they've done and how they've described it. HyperCV closes that gap.

How it started

I built HyperCV after watching people I respect struggle with something that felt solvable. They were applying to 20, 30, 40 roles. Each application was a small act of hope — and each silence was a small wound. The talent was obvious to anyone who spent ten minutes with them. The CV wasn't telling that story.

The insight that drove the product: it's not fabrication that gets people hired. It's translation. The same experience, described in the language this specific role responds to, becomes a different — better — application. Not dishonest. Just shaped for the reader.

HyperCV automates that translation. It reads the job spec, finds what matters to that employer, and rewrites your story around it. Then it scores the result across five dimensions — so you know whether it worked before you hit send.

Who built it

HyperCV is part of Hyperdrift — a small studio that builds focused tools for real problems. No venture funding. No growth team. One person, obsessing over whether the product actually works for the people it's supposed to help.

HyperCV is free to try — no account, no credit card — because the value should be obvious before you commit anything. If it doesn't change how you think about your next application, you haven't lost a minute.

“The difference between the right word and the almost-right word is the difference between lightning and the lightning bug.”

That's the whole product, in one sentence. HyperCV finds the right word.