X-Tweet Market: AI Tweet Count Predictions

AI-powered tweet count predictions for 9 public figures. Live tracking, hourly heatmaps, Polymarket bracket analysis, and historical posting patterns. Our AI model achieves 3% median forecast error across all tracked accounts.

Tracked Accounts

Select a person to see AI predictions, live count, heatmap, and bracket analysis.

How AI Tweet Predictions Work

OddsShift's AI model analyzes thousands of historical posts per person, identifying time-of-day patterns, day-of-week trends, and news-cycle correlations. The model generates hourly expected counts and compares them against live Polymarket bracket odds to identify over/underpriced contracts. Accuracy: 3% median forecast error across all tracked accounts.

Frequently Asked Questions

How accurate are OddsShift tweet predictions?

OddsShift's AI model achieves a 3% median forecast error across 9 tracked public figures. This means for someone who tweets ~100 times per week, the prediction is typically off by only 3 tweets.

Which accounts does OddsShift track for tweet predictions?

OddsShift tracks 9 public figures: Elon Musk, Donald Trump (Truth Social), Andrew Tate, Ted Cruz, CZ Binance, White House, Ayatollah Khamenei, NYC Mayor, and Volodymyr Zelenskyy.

How do tweet count prediction markets work?

Polymarket offers contracts on how many times a public figure will post in a given week. For example, "Will Elon Musk post more than 150 times this week?" You buy YES or NO contracts. OddsShift's AI forecasts help traders identify which bracket is most likely.

Can you make money trading tweet prediction markets?

Yes, if you can predict tweet counts more accurately than the market. OddsShift's AI model has a 3% median error rate, which provides an edge over Polymarket's implied probabilities on many contracts. Historical win rate: 67%.