The Story Behind RaceChatAI

Simon Hunt has always had a passion for solving complex problems. Horse racing was a family tradition — Simon grew up watching the Grand National, and the thrill of the sport captured him from an early age. After witnessing his first winner, he was hooked.

Simon began by studying horse form and track performance, painstakingly recording observations in a notebook. He tracked key statistics, noting patterns that consistently led to winning outcomes. As his knowledge deepened, he transitioned to spreadsheets, where the analytical side of racing truly began to make sense. He discovered recurring patterns and insights that many others overlooked — though he quickly learned that some strategies didn’t hold long-term predictive power.

Focusing on data-driven precision, Simon began analyzing individual tracks to understand which types of horses performed best under specific conditions. This research laid the foundation for his main database, where every variable was tracked meticulously. To streamline his work, he coded PHP algorithms to automate repetitive tasks and apply consistent rules.

From this careful, methodical process, the current predictive formula for RaceChatAI was born — a system combining decades of racing insight, rigorous statistical analysis, and modern AI to deliver accurate, actionable predictions.