FIFA Spent $500M on Scouting. A Startup Is About to Make That Worthless

In 2007, Stephan Maric built one of the first social networks for sports fans, before "sports tech" was even a phrase. It didn't become the giant he imagined. Almost 20 years later, he's betting on the exact same obsession again, this time with AI. In this episode of the GenZEO Playbook, Stephan walks through building Defans, the AI sports assistant he calls "ChatGPT, but for sports," and what his 2026 self knows that his 2007 self got wrong.

We get into being early without being right, why timing beats ideas, and how a small startup survives when Google and ESPN are circling the same field. Stephan breaks down why a product anyone can copy in a weekend is just a feature, not a moat, and why for an AI product, trust is the real product: get one live score wrong and you lose that fan forever.

He also shares how Defans is built with tools like Lovable, Google Cloud, Codex, and vibe coding, how the team grew to millions of organic views on TikTok, Instagram, and Facebook with zero ad spend, and the revenue model rolling out this summer (a $3.90/month subscription, in-app ads, and ticket links).

If you're a founder, builder, or 16-year-old obsessed with sports who secretly wants to build something, this one is for you.

Chapters

00:00 Intro

02:34 What Defans actually does

03:48 Why they added voice to text

05:08 What everyone missed about sports tech in 2007

06:35 What his 2026 self knows that his 2007 self got wrong

08:16 Dreaming of a worldwide sports brand

09:35 What stops a competitor from copying you in a weekend

12:18 Keeping an AI honest when data changes every 10 seconds

13:36 How Defans plans to make money

15:14 The five years away, and why he came back

16:48 Getting your first real users with zero audience

18:01 One thing to start doing this week

19:36 Three takeaways: early vs right, moats, and trust

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