Introducing Paradigm Predictions

02.04.2026|Storm Slivkoff

Today we’re releasing a preview of our new tool for exploring prediction market data. Check it out at predictions.paradigm.xyz.

Prediction markets are a powerful technology that allows for financializing any belief about the future. This has led to the emergence of many new market categories: you can now trade on the weather. You can trade on Spotify leaderboards. You can trade on scientific discoveries.

But prediction markets are so vast and novel that it can still be hard to see the big picture. The goal of this new tool is twofold:

  1. Create a tool that makes it easier to explore prediction market data
  2. Make these markets intuitive and accessible to a much wider audience
Figure

The core of this new tool is a browsable, zoomable, filterable map of the prediction market landscape. It has many features that make the data easy to explore:

  • You can zoom into market topics and subtopics like branches on a tree. The relative sizes show how active each of these different topics are.
  • Buttons at the top allow you to filter by different platforms and activity metrics. This allows you to do things like compare Kalshi to Polymarket.
  • The time slider at the bottom shows you how the markets evolve over time. You can do this over days, months, or the entire history of these platforms.

We believe that 2026 will be a breakout year for prediction markets. There will be many high-profile events such as the World Cup, the Winter Olympics, and many elections around the world including Germany, Brazil, and the USA. Additionally, we are seeing prediction markets integrated directly into many large institutions such as CNN or the Dow Jones.

These factors make it especially important to have powerful tools for understanding how these markets work.

Today is the first iteration of the dashboard, but more features are on the way. Give us your feedback about things you love, hate, or would like to see (reach out to @notnotstorm on X).

Paradigm is an investor in Kalshi, a prediction market platform.


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Biography

Storm is a Research Partner at Paradigm. He uses data science and data engineering to analyze crypto systems and build crypto data infrastructure. Storm is passionate about open source software and open data standards. He has published open-source tools for collecting and analyzing data from many crypto protocols. Prior to Paradigm, Storm was a data specialist at Fei Labs. He earned his PhD from UC Berkeley doing neuroscience research.

Disclaimer: This post is for general information purposes only. It does not constitute investment advice or a recommendation or solicitation to buy or sell any investment and should not be used in the evaluation of the merits of making any investment decision. It should not be relied upon for accounting, legal or tax advice or investment recommendations. This post reflects the current opinions of the authors and is not made on behalf of Paradigm or its affiliates and does not necessarily reflect the opinions of Paradigm, its affiliates or individuals associated with Paradigm. The opinions reflected herein are subject to change without being updated.

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