Max Sebti (@maxscore) wasn’t trying to disrupt anything. He was trying to solve a problem. A sports hedge fund needed better data to place bets on global football. Traditional sources couldn’t deliver the precision or speed required. So Sebti and his co-founders built their own solution an AI system that could track movement on the field, model player behavior, and predict outcomes from video. What started as a client deliverable has grown into @webuildscore, Bittensor subnet 44, and one of the most ambitious computer vision projects in decentralized AI. “We collect, we model, and we predict,” Sebti said in an interview. “And we do it frame by frame.” Score turns video into structured intelligence. It works with low-quality footage, simulates alternate scenarios and scores each player’s impact on every phase of play. Read the entire article in @Forbes by @torcon forbes.com/sites/torconstant…