About Kanvis

Why we’re building this.

An honest account of the problem we kept running into, what we’ve built against it so far, and where it goes next. No pitch — the homepage has one of those if you want it.

The Kanvis team6 min read

Why we started this

Before Kanvis, Hamza built U.n.I — a student platform that reached 15,000+ people across 12 universities with no ad budget — and spent a couple of years mentoring startups through Techstars, 35 or so of them.

Two completely different rooms, and the same conversation in both. Someone would describe what they’d actually done — the thing they’d built, the mess they’d cleaned up, the number they’d moved — and it was obviously good. Then they’d show you the document they were sending out, and none of it was in there. It couldn’t be. There was no line on the form for it.

Nobody was missing these people because the talent wasn’t there. They were missing them because it arrived as a PDF.

That is the entire origin. Not a market gap we spotted in a deck — a thing we watched happen to people we knew, often enough that it stopped looking like bad luck and started looking like the design of the system.

What's actually broken

You already know how this goes. You spend an evening rewriting the same two pages so a piece of software will let them through. You change a word, move a date, delete the thing you were proudest of because it didn’t fit. You send it. Nothing comes back — not a no, just nothing.

Somewhere in that silence a person who would have liked you never saw your name. And the hard part was never the rejection. It’s that the thing being judged was a page of formatting, and you were never in the room to say otherwise.

≈250

résumés for one opening

Glassdoor

55%

never hear anything back

Resume Genius, 2026

11,000

new applications a minute

LinkedIn, 2026

Fig. 1 — one opening, from the outside

Here is the part people miss: it is just as bad on the other side of the wall. The person hiring didn’t build this funnel because they enjoy it. They have 250 documents and an afternoon, so they skim for seven seconds each and hope. They are guessing too. Everybody in this system is making an expensive decision on almost no information, and everybody knows it.

Why we think it's ours to fix

Plenty of people have noticed this problem. The reason most attempts curdle is the business model, not the technology: the moment a job seeker can pay to be seen, you have quietly started selling the thing you were supposed to be measuring.

So we made the awkward decision first and built afterwards. Candidates don’t pay us. Not for a boost, not for a tier, not for a badge. Hiring teams do. It means the product has to be good enough that a company will pay for the shortlist, which is a much harder thing to build than a premium badge, and we would rather have that problem than the other one.

You also get the people who build it. Tell us something is wrong and the person reading it is the person who changes the product, usually that week. Very few companies in this business can say that, and it is not an accident that we can.

How we're going at it

The whole approach is one swap: stop asking people to compress themselves into a document, and let them talk instead.

You talk for about five minutes. No forms, no templates, no fighting the formatting. You say what you did and what it took, and it gets written down the way it deserved to be — with every line traceable back to the moment you said it.

Your page answers when you can’t. You get a page at kanvis.me with your name on it. When someone opens it at eleven at night and wants to know whether you’ve really shipped anything at scale, it answers them — from your own record, with the receipts attached, and it cannot invent anything you didn’t say.

The first interview actually happens. Apply through Kanvis and you get a real first conversation about the role. It’s run by a machine, and we say so plainly. The hiring team then reads what you actually said instead of guessing from a file.

AI decides how something is worded. It does not decide the number. Those two jobs never swap.

That line is the load-bearing one. Every score Kanvis produces is calculated the same way for everyone who applied, and the AI gets no vote in it. It is the difference between a system you can question and one you just have to accept.

And five things we won’t do.

None of these are policies we could quietly change next quarter. They’re decisions already made in how the product works.

You don't pay.

Kanvis is free for anyone looking for work, and we intend to keep it that way. Hiring teams pay for it. The moment the person being judged is also the customer, the judgement is for sale.

You can’t buy your way to the top.

No promoted profiles, no boosted placement, no tier that puts you ahead of someone who can do the job better. A page earns attention by being true, or it doesn’t get it.

A result can’t be quietly rewritten.

An application is fixed at the moment you send it. Editing your page next week doesn’t move a score somebody has already seen, in your favour or against you.

AI picks the words. It doesn’t pick the number.

Every score is calculated, the same way for everyone who applies. The AI decides how something is worded and points at the evidence behind it. It gets no vote on the outcome.

Your page stays yours.

You can hide it from search and browsing whenever you want, and your direct link keeps working. We don’t take pages down, and we don’t hold them hostage.

Where this goes next

Both sides are live and people are being hired through it, so what follows is direction rather than prophecy.

The near work is depth: an interview that gets better at surfacing the things a document structurally cannot hold, and a page that keeps what it learned about you from one application to the next instead of asking again. The medium work is reach. This problem belongs to no single country, language or kind of work, and neither should the answer to it.

The long version is the one worth stating plainly, because it’s the thing we’d want to be held to: a world where sending a résumé is the strange option. Where the normal way to be considered for work is a page that already knows what you’ve done, can be questioned about it by anyone, and costs you nothing to keep.

It is a long way off. We would rather write it down anyway, and be held to it.

The people doing it

The people who build it, and the ones you deal with. This is the team.

Hamza Bin Mubeen

Hamza Bin Mubeen

Founder

Built U.n.I to 15,000+ users across 12 universities. Mentored 35+ startups through Techstars.

Suleman Shahid

Suleman Shahid

Co-founder & Advisor

Associate Professor of Computer Science. Human-computer interaction and UX research.

Hamza Ahmad

Hamza Ahmad

Lead AI Engineer

Builds the AI — the interview, the way applications are scored, and the Twin that answers on your page.

Aarash Abro

Aarash Abro

AI Engineer & Cloud Architect

Infrastructure, data, and the systems underneath, built to hold at the scale this runs at.

Want to help build it?

We’re small enough that this genuinely reaches a founder. Tell us what you’d want to work on and what you’ve built — we don’t care much about the CV, which would be an odd thing for us to care about.

Opens your email app with all of this filled in. Nothing is sent until you press send.

Give it five minutes.

That’s how long it takes to have a page of your own. Free — no credit card.

I’m hiring