Blog
Expert analysis, strategies, and insights for Kalshi & Polymarket prediction markets.
How to Build Your Own AI Sports Betting Research System
How to Build Your Own AI Sports Betting Research System
Learn how to build a structured AI sports betting research system — data sourcing, probability modeling, and where PillarLab AI's 9-pillar analysis fits in.
Jul 7, 2026 Building an AI Sports Betting Model: What I Got Wrong First
Building an AI Sports Betting Model: What I Got Wrong First
The mistakes that sink first-time AI sports models — overfitting, leaky backtests, and confusing accuracy with edge — and how a structured 9-pillar framework fixes it.
Jul 7, 2026 Building a Prediction Market Dashboard
Building a Prediction Market Dashboard
A practical guide to building a prediction market dashboard for Kalshi and Polymarket — data feeds, alerts, and where structured 9-pillar analysis fits into your tracking workflow.
Jul 7, 2026 Calibration in Prediction Markets: Why It Matters
Calibration in Prediction Markets: Why It Matters
Calibration, not win rate, is what separates skilled prediction-market traders from lucky ones. Learn how Brier score works, the common miscalibration traps on Kalshi and Polymarket, and how PillarLab
Jul 7, 2026 Can You Actually Make Money on Kalshi? My Honest Answer After 2 Years
Can You Actually Make Money on Kalshi? My Honest Answer After 2 Years
Can you actually make money on Kalshi? A straight answer on profitability, common losing patterns, and how structured analysis creates real edge.
Jul 7, 2026 Champions League Prediction Markets: My Trading Guide
Champions League Prediction Markets: My Trading Guide
A pro trader's guide to Champions League prediction markets on Kalshi and Polymarket — reading implied odds, trading group stage vs knockout rounds, managing long-horizon risk, and how PillarLab AI's
Jul 7, 2026 ChatGPT for Sports Betting: Why I Quit After 3 Months and What I Use Instead
ChatGPT for Sports Betting: Why I Quit After 3 Months and What I Use Instead
Three months of using ChatGPT for sports betting research revealed a structural problem: no live data, confident hallucinations, and no repeatable framework. Here's the fix.
Jul 7, 2026 ChatGPT vs Specialized Betting AI Like PillarLab: Tested Side by Side
ChatGPT vs Specialized Betting AI Like PillarLab: Tested Side by Side
ChatGPT vs specialized betting AI tested side by side on real Kalshi and Polymarket contracts — where general models fall short and why structured, data-driven tools like PillarLab win.
Jul 7, 2026 College Basketball Prediction Markets: My Full Approach
College Basketball Prediction Markets: My Full Approach
A structured, 9-pillar approach to trading college basketball prediction markets on Kalshi and Polymarket — from reading contract prices to bankroll discipline across a full season.
Jul 7, 2026 Congressional Control Prediction Markets: House and Senate
Congressional Control Prediction Markets: House and Senate
Congressional control betting on Kalshi and Polymarket rewards traders who read district-level fundamentals over headline polling. This guide breaks down how House and Senate majority contracts are st
Jul 7, 2026 Conn Smythe Odds: My Case for the Market's Most Overlooked Contender
Conn Smythe Odds: My Case for the Market's Most Overlooked Contender
Conn Smythe odds reward playoff performance in a vacuum, not regular-season stardom — which is exactly where the market misprices contenders. Here's how to read the odds board, spot cross-platform div
Jul 7, 2026 Contrarian Prediction Market Strategy: Fading the Crowd
Contrarian Prediction Market Strategy: Fading the Crowd
A professional trader's framework for fading crowd sentiment on Kalshi and Polymarket — spotting genuine overreaction, sizing contrarian positions, and using structured 9-pillar analysis to separate r
Jul 7, 2026