TALNET

TALENT MATCHING

Most hiring platforms are bloated. Profiles everywhere. Endless scrolling. Spray-and-pray applications. Noise masquerading as volume.

I wanted to build the opposite.

A lean, focused, matchmaking engine that connects talent and companies—only when there’s a genuine fit. No dashboards stuffed with irrelevant applicants. No inbox full of noise. Just a system that respects your time and filters for relevance.

What I Built

The platform was designed as a matchmaking service for remote-first professionals and teams. It worked on a simple principle: connections should be earned, not dumped on you. Talent could apply to a limited number of roles. Employers could invite a limited number of candidates. Five invites each. After that, they’d have to upgrade.

That limitation was intentional—it forced everyone to think. To filter. To act intentionally.

And the backend matched them not based on generic keywords, but meaningful signals: skills, preferences, goals, and prior success.

Why It Worked

Because it respected attention. The platform wasn’t designed to maximize engagement metrics—it was designed to maximize alignment. That made it useful from day one. Users didn’t need to figure out how to game the system. They just had to be clear about what they offered and what they needed.

It also showed that friction can be a feature. By limiting applications and invites, it created focus. By hiding most users until a match was triggered, it removed ego metrics. And by simplifying the interface, it let the right conversations happen faster.

Sold for $5,125