Setting a pretty ambitious goal here – 5,000 GitHub commits before year-end. Sounds intense, but honestly, I'm fully committed to this.

The plan? Deep dive into forecasting models, machine learning algorithms, and data modeling techniques. But it's not just about the code itself. The real goal is making these prediction models actually work across prediction markets – creating something replicable, scalable, and profitable.

It's one of those rabbit holes where the deeper you go, the more you realize how much there is to explore. Worth it though.