Post Count Prediction Bot

This bot specializes in markets that track the number of posts by specific individuals (like Elon Musk or Donald Trump) on social media platforms. It leverages the xtracker.polymarket.com service to get real-time post counts and trades based on deviations from market expectations.

The bot likely monitors the official post count feed, compares it to the implied probability of the market, and enters positions when there is a discrepancy. For example, if the market is pricing in 10 posts but the tracker shows only 5 with the day half over, the bot might bet on the under.

Given the volatility of these markets and the speed at which posts happen, the bot likely needs to execute quickly. The GitHub repository is relatively new (created August 2026) and has no stars or forks yet, indicating it's a new or private project.

Implementation notes: The bot is written in Python and is relatively small. The main strategy edge comes from the speed and accuracy of data acquisition from the post tracker versus the market's lagging pricing.

Risks include data feed inaccuracies, sudden changes in posting behavior, and potential manipulation of the tracker data.