Proof|Edge @ProofEdgeApp
Building Proof|Edge 📊 Finding signal in prediction-market noise, one quantified play at a time 🏈 Distilling the Proof 📈 Invite-only beta proofedge.app Joined September 2026-
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@TheBetDesk Proof|Edge 🎯 Most +EV tools scan sportsbooks. We built ours for prediction markets. It finds edges on Polymarket & Kalshi across NFL, NBA, NHL, CFB & MLB, with an AI second opinion on every play and a public paper record. In beta, invites open 👇 proofedge.app
Sports prediction markets move fast. Know what’s behind the price. Meet ProofEdge: sports market insights for Polymarket and Kalshi, with fair probabilities, market prices, and transparent reasoning. not “locks.” See what we’re building 👇 proofedge.app
Looking for beta testers 👀 Follow sports markets on Polymarket or Kalshi? Help shape ProofEdge. Get 14 days to explore the app. Tell us what works, what’s confusing, and what’s missing. Honest feedback wanted. Join the waitlist: proofedge.app/waitlist.php
The Proof|Edge Engine rescans sports prediction markets about every 15 minutes, builds a fair win probability, and scores edge × confidence into a 0–160 Proof. proofedge.app
Using Proof|Edge Engine analytics to compare market Price with our model’s Fair probability, identify the Edge, then distill a Proof score. Here is a sneak peek of the full and simple Proof score cards. #SportsAnalytics #ProofEdge
Who did you pick tonight: Eagles or Bears? 🏈 ProofEdge helps you compare market Price, Fair, Edge, Confidence, and Proof score before you make the call. More context. Better research. #MNF #NFL #ProofEdge
Would you rather see a model’s final recommendation or the full path behind it? At ProofEdge, we think you should see the market Price, our Fair estimate, Edge, Confidence, and Proof score before making a decision. What matters most to you?
Every recommendation keeps the important signals separate: Market Price Engine Fair Edge Confidence Proof score Real and paper-tracking context MLB is only the beginning. Built for people who want to understand the market—not blindly follow it.
Sneak peek at ProofEdge 👀 We’re building a clearer way to evaluate sports prediction markets—live game context, market price, our independent Fair estimate, calculated edge, confidence, and Proof score in one view. No “locks.” No black box. Just transparent decision support.
NFL Sunday 🏈 I’m watching where market price & the engine’s fair probability diverge, while factoring in confidence, liquidity, and late news. 📊 What game do you think is mispriced? 👀
Brutal MLB result yesterday. Late-season baseball can get volatile fast—rest days, lineup changes, playoff positioning, and teams playing out the string can all pull outcomes away from the season-long patterns and signals.
The real value of AI in sports markets is not a flashy “lock.” It’s reducing research time, surfacing the most relevant signals, and translating model output into plain-English insights—so you can focus on the decisions that matter. That’s the role of AI inside ProofEdge.
Edge and confidence are different. Edge is the gap between market price and our Fair estimate. Confidence is how reliable that estimate is. A large edge with weak confidence is not the same signal as a large edge with strong confidence. proofedge.app
What Proof doesn’t do Proof does not place trades or bets. We flag market prices that differ from our fair estimate. You decide. Paper-track first if you want. 18+ where legal. Not financial advice.
Transparency. Most tip sheets bury the misses. Proof doesn’t. Wins, losses, CLV, Brier — the full ledger is public. If the edge is real, it shows up in the grades. Track record → proofedge.app
One number. That’s the point. Proof blends model win %, listed price, and data quality into a 0–160 score. Hot / Warm / Mild. Then we stake our own paper book and keep score. Track record → proofedge.app
Proof is live in beta. We score sports moneylines on Polymarket & Kalshi, freeze the number at tip-off, and grade every pick after. Edge first. Hype never. proofedge.app
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