Hi HN, I’m the creator of PillarLab. I noticed that most people betting on prediction markets like Polymarket or Kalshi were either guessing or using generic LLMs that hallucinate data.

I built PillarLab to solve the 'black box' problem of AI. It uses 1,720+ proprietary 'Pillars' (analytical frameworks) to guide the AI through rigorous logic, things like Sharp Money tracking, xG soccer models, and Line Movement.

I’d love your feedback on the reasoning. Does the weighting of factors make sense to you? I'll be here to answer questions all day!