Our Origin
Story.

When I started out in interactive development, my mentor wasn't another developer. He was an art director who'd spent his career in publications and design — and he made the time to teach me and help me grow into the work. That relationship turned a self-taught skill into a career.

Earlier this year, my sons' uncle, who's spent his career in finance, offered to mentor them in markets and trading. Not casually — actually mentor them. Live video sessions on a real cadence, with the kind of perspective most people pay a long way to get near.

I've spent almost thirty years building software at the crossroads of design and technology — for educational institutions, nonprofits, and mission-driven organizations. Watching what that offer meant for my kids — what kind of conversations they were having, what they were starting to understand about how the financial world actually works — I started asking a question that wouldn't leave me alone.

If he was willing to do this for my sons, would he be willing to do it for kids from underserved communities?

The honest answer is: Yes! Mentors like him exist. They say yes more often than people think. What they've needed is structure to make their generosity reach — and that's what we built. A way to be present every day. A way for the philosophy to keep teaching. A way for one mentor's reach to scale.

And the urgency has only grown inside me. At the most well-resourced schools, kids are using AI as a personal tutor every day, in everything they study.

The financial literacy gap is a familiar story. The AI-fluency gap is the new one, and it's growing faster.

So I built StockArena — a way to turn "I'd like to help" into something that actually compounds. A small group, a six-month season, live video sessions, and an AI trained on how the mentor thinks — wired into what each student is actually doing, every day. Every session is recorded and added to a library. The mentor's perspective keeps teaching long after the season ends.

The mission isn't to manufacture the next generation of stock traders. It's to teach a generation of students how to learn alongside an AI — in a feedback loop tied to what they're actually doing. That's the skill that travels, into whatever they study next.

And it's to take the offer that landed in my own house — the kind of mentorship that's quietly reshaping who knows how the financial world actually works — and make it portable to any community whose students deserve the same conversation.

If someone is willing to mentor, we want to make it easy for them to say yes.