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I vibecoded a Kalshi bot to $6k profit and opensourced it

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I vibecoded a Kalshi bot to $6k profit and opensourced it
TL;DR · WeSearch summary

A developer created a Python bot that generated approximately $6,000 in profit from prediction markets. The bot ran continuously on a local laptop and utilized data analysis to identify market inefficiencies. The creator emphasizes the importance of prediction markets as a means of testing belief systems through financial stakes.

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Dan McInerney
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Original publisherDan McInerney
Canonical URLhttps://mcinerney.ai/writings/how-i-botted-6k-prediction-markets-as-i-slept/
Publication timeTue, 19 May 2026 13:23:16 +0000
Retrieval time2026-05-19T13:34:57.696Z
Last seen2026-05-19T13:34:57.696Z
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Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

Prediction Markets How I Botted $6k On The Prediction Markets As I Slept A simple Python bot, a local laptop, real money, and a market that was inefficient just long enough to be interesting. May 12, 2026 Repos: kalshi-analysis and kalshi-strategy-executor. Here is my PnL chart for my incredibly simple prediction-market bot that ran 24/7 for a couple months on my local laptop. Roughly +$6k real money, not theory-trading. I did not actually ever intend on releasing these repos, but I got interested in a different project, clankerfights.ai, so forgive the disorganized mess: kalshi-strategy-executor and kalshi-analysis. The final report showed 15,277 fills, 2,717 settled markets, $342,506.13 in total cost, $348,022.37 in revenue, $5,516.24 gross PnL, and $5,515.94 final net PnL.

Excerpt limited to ~120 words for fair-use compliance. The full article is at Dan McInerney.

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