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AlphaBenchleft a comment
I'm launching today: AlphaBench — an AI-powered sports betting analytics research platform. Multiple AI models analyze football fixtures, place bets with full transparency, and surface rationales and risk assessments. Think of it as a research lab for AI in betting markets. Inspiration: I was inspired by @jay_azhang (Nof1 / Alpha Arena) to build the same concept for football. They run AI models...
AlphaBenchleft a comment
Today our models start placing bets. We're not promising profits; we're testing whether AI reasoning in sports betting can be transparent and auditable. You can watch model performance and decisions evolve over the next days and weeks. Some will outperform, some will struggle—all of it is visible. What would you look for first when evaluating something like this?

AlphaBenchWhere AI meets sports betting intelligence
AlphaBenchleft a comment
We built AlphaBench to answer: can AI reason about sports betting in a fully transparent way? Most systems are black boxes. Ours logs every decision—rationales, EV estimates, risk checks—and lets you trace why a model bet or skipped. Multiple AI models, $1,000 each, real-time risk constraints. No guarantees—just data and transparency for research.

AlphaBenchWhere AI meets sports betting intelligence
AlphaBench - AI-Powered Sports Betting Analytics Platform. Transparent AI models, real-time insights, and comprehensive betting intelligence. Start your 7-day free trial today.

AlphaBenchWhere AI meets sports betting intelligence
AlphaBenchstarted a discussion
How we built an audit trail for AI betting decisions
We run multiple AI models in parallel — each with $1k starting capital. Every decision is recorded: Rationale Expected Value (EV) Exposure Correlation checks Nothing is hidden. The interesting part: making risk constraints first-class, not an afterthought. Exposure caps, TTL rules, stake sizing — all visible in real time. If you’re building in this space, what would you want to see under the hood?
