Our story

Hiring is broken. We're fixing it.

Wonka is an AI-powered screening platform built by founders who are hiring across borders — and got tired of how hard it was to find the right people at scale.

Why we built Wonka

We've built companies. We've scaled teams. And we've hired across continents — sourcing engineers in Europe, designers in the Middle East, sales leads in North America, ops people across three time zones at once.

Global hiring should be a superpower. Instead, it's a nightmare. Resumes mean different things in different markets. Phone screens across 8 time zones eat your entire week. You end up relying on gut instinct because you simply can't talk to everyone — and great candidates in Sao Paulo or Krakow fall through the cracks because your calendar ran out before they got a shot.

We lived with this problem for years as founders building distributed teams. Hundreds of roles. Thousands of applicants. Dozens of countries. And the same broken process every time: skim, schedule, screen, repeat — hoping you don't miss the best person in the pile.

Wonka came from a simple question: what if every candidate, regardless of where they are, could show what they're capable of on their own time? And what if you could see all of that — scored, ranked, and compared — before you ever book a single call?

That's the product we built. One link works everywhere. Candidates in any time zone complete it when it suits them. The AI evaluates everyone on the same criteria. And you wake up to a shortlist that actually reflects who's best for the role — not just who was easiest to reach.

Hiring mistakes are one of the most expensive decisions a company can make — not just financially, but in lost time, momentum, and team morale. A bad hire slows execution, drains leadership attention, and often takes months to correct. That's why we believe the goal isn't just to hire faster, but to hire right. The best teams don't waste hours on manual screening or gut-feel filtering; they create a process that consistently surfaces the strongest candidates and gives them a real chance to be seen. Wonka exists to help you spend your time where it matters most: evaluating the best people, not sorting through the rest.

How we think about hiring
📡

Signal over credentials

A resume tells you where someone has been. An assessment tells you what they can do. We optimize for the latter.

Speed shouldn't cost quality

Moving fast doesn't mean cutting corners. Our AI evaluates deeply so you can decide quickly — without sacrificing rigor.

⚖️

Every candidate deserves a fair shot

No name bias. No school bias. No geography penalty. Whether someone applies from Berlin or Buenos Aires, they get evaluated on what actually matters for the role.

🌍

Hiring should have no borders

One link works everywhere. No timezone coordination, no fragmented tools, no 14-step workflows. Build an assessment, share it globally, get results.

The people behind Wonka
We're a small, focused team obsessed with making hiring work for everyone.
Yury Sokolov
Co-founder & CEO

Serial founder who's built and scaled teams across 15 countries. Hired hundreds of people globally and got fed up with the process being the bottleneck. Started Wonka to fix it.

Nick Matiushenkov
Co-founder & CTO

Former engineering lead at Twelve Data, where they built distributed teams spanning 5 regions. Turned that firsthand experience with global hiring into the technical foundation of Wonka.

Max Savin
Co-founder & CBDO

Background in Oil & Gas. Took leading roles and hired for Fintech, E-commerce and "old money business", worked across international markets and believes that time is the main resource for both company and individual. Brings his full passion and expertise to save priceless years of time for people and companies all over the world.

Come build the future of hiring

We're growing and looking for people who care about solving real problems. If you want to work on something that matters — with a team that ships fast and debates honestly — we'd like to meet you.

Tell us about yourself