I built a prototype tool to advise users about the future using Kalshi data. What features/changes would make you want to use a tool like this?
I'm an indie developer who trades prediction markets daily. I've built a completely free prototype that advises people based on these prediction markets ([https://verrons.vercel.app/\](https://verrons.vercel.app/)). I simply want to know if this is a cool thing and is actually useful, and what features you would want to see built.
Right now, it pulls Kalshi data from markets such as daily gas prices, forms a probability mass function given the probability in each market, and calculates the market's expected value (E\[X\]) for tomorrow. It gets compared to live prices to output a simple consumer signal (e.g., "Fill up today" vs "Wait until tomorrow because the market is pricing in a drop").
My question to this sub: If you were going to use a third-party data extraction tool for prediction markets, what features would be vital to the experience? Some ideas I'm mulling over based on initial feedback:
* Push Notifications: Setting up push/SMS alerts when live market volume explodes or win probabilities violently swing in the final minutes of an event.
* Cross-Venue Tracking: Cleanly overlaying Polymarket and Kalshi lines on the exact same overlapping macro events to easily spot pricing discrepancies.
* Global/Political Indices: Political unrest/global safety indicators to help users determine safe travel locations and times
If you have a couple of minutes to look at the bare-bones layout ([https://verrons.vercel.app/\](https://verrons.vercel.app/)), let me know what features would turn a toy like this into a tool you'd find valuable. Thanks!