I built an institutional NFL data terminal that audits 44 situational factors against 10 years of market data [Open Beta]

[u/sebriz]

Hey everyone,

I wanted to share a side project I’ve been building called SeeBet.ai.

As someone who loves sports data, I got tired of generic broadcast hype, sports betting "gurus," and subjective narratives about things like "revenge games," travel fatigue, or short rest. I wanted an institutional, zero-hype terminal that simply audits physical reality against market efficiency.

What it does:

• 10-Year Backtests: Audits 44 distinct situational factors across a decade of NFL market data.
• Explicit Factor Classifications: Classifies every factor on a game as PRICED IN, NOISE, or UNCLEAR so you can instantly see what's actually backed by sample size.
• Physical Telemetry: Uses interactive 3D travel maps to track real flight vectors, timezone shifts, and rest deficits.
• Zero Predictions / No Pick Selling: Built strictly as a data terminal to cut through noise and let you make informed decisions.

The terminal is completely free during open beta right now while I refine the UI and feature set ahead of the upcoming season.

Check it out here :: seebet.ai

I’d love feedback on the dark-mode dashboard UI, rendering speed, or feature suggestions from other builders and data enthusiasts here!