
Trump Media & Technology Group has abandoned plans to build an in-house prediction market for Truth Social, opting instead to promote Crypto.com’s existing prediction products to its user base. The shift effectively ends the unlaunched “Truth Predict” initiative in favor of a distribution partnership model.
Pivot From In‑House Build to External Partnership
According to the company’s update, Trump Media has scrapped its original plan to integrate a native prediction market into Truth Social. Rather than developing and operating the feature itself, the platform will direct interested users to Crypto.com’s established prediction offerings.
The move replaces the previously announced “Truth Predict” concept with a third‑party solution, suggesting a focus on leveraging an existing crypto platform’s products rather than building and maintaining new market infrastructure within the social app.
What It Means for Truth Social Users
With the change, Truth Social will not host its own prediction market. Users seeking prediction products will be funneled to Crypto.com, where those services are already available. This approach enables access to prediction markets without a native Truth Social integration, placing product delivery, risk management, and compliance under the purview of the partner exchange.
Context: Prediction Markets in Crypto
Prediction markets allow users to speculate on the outcome of future events by trading contracts tied to specific results. In the crypto sector, these markets have grown alongside broader on-chain finance and tokenized trading, while navigating varying regulatory considerations across jurisdictions. Partnering with an established exchange can streamline access for users and reduce the complexity of launching a new, in-house market.
About the Companies
Trump Media & Technology Group operates Truth Social, a U.S.-based social media platform. Crypto.com is a global cryptocurrency exchange and services provider offering a range of products for retail users, including trading, payments, and promotional prediction features.