The best agent I interviewed tracks 40 professional players in an iPhone Notes app. He's been in the business for 20 years.

We talked to agents for a year before writing a single line of code. The pattern was always the same: when a player needs a new club, they mentally list 10-15 clubs, make phone calls, and hope.

No data on who actually needs their position. No signal on departure risk. No model for fit.

Football transfers move €7+ billion a year. The professionals running those deals have nothing.

So we trained ML models on 262,000+ real transfers across 120+ leagues:

⚡ Placement : ranks every club by likelihood of signing your player. Right club in top 3: 74.5% of the time (validated on held-out winter transfer window data)

🎯 Radar : identifies clubs with genuine squad needs before they go public. "Likely need" clubs recruit 68% of the time.

📊 Market value : our own model trained on real fees paid, not Transfermarkt estimates

🤖 AI pitch : one click generates a full data-backed argument for each target club

We're in closed beta today with a small group of agents. That's partly why I'm here, looking for people who think this matters.

One question: What's the most consequential decision you've ever seen a professional make on pure gut instinct? How did it end?

Augustin, co-founder of TransferFit