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An American soldier earned $400 000 on bets about Maduro’s capture through the Polymarket platform. The story exposed a new industry where information turns into money, and the boundary between luck and insider knowledge becomes blurred.
Оглавление
What happened
A prediction market appeared on the Polymarket platform: users are betting real money on who will die in the third season of the series “Euphoria.” Key positions are Nate Jacobs (82%) and Rue Bennett (61%). But behind the scenes, a story is unfolding that is more serious than the plot: an American service member used classified data to earn over $400 000 on bets related to an operation in Venezuela and the capture of Nicolás Maduro. The U.S. Department of Justice filed charges in April. Polymarket stated that it had handed information over to the authorities and called insider trading unacceptable. The case exposed the reality: prediction markets are not just entertainment, but a tool where information has a specific price.
How this is useful for business
Prediction markets have become a full-fledged tool for assessing probabilities. Companies use them to analyze demand, politicians use them to forecast election outcomes, and traders use them for information arbitrage. The volume of bets on Polymarket is growing, and with it, the need for analytics services, consulting, and infrastructure for new platforms. This forms an entire ecosystem around prediction markets with real business models.
How to make money from this
Monetization is built on three levels. The first is creating and managing prediction markets with a commission on each bet. The second is analytics and consulting: selling data, reports, and forecasts to corporations and media. The third is educational products: courses on interpreting market data, betting strategies, and risk management. Infrastructure solutions — APIs, integrations, monitoring tools — are also becoming an in-demand product.
Business ideas
1. A prediction market aggregator with filters by topics, probabilities, and betting volumes. Revenue from advertising and affiliate programs with platforms. A subscription to premium analytics will bring $15–50 per month per user.
2. A consulting bureau for corporations: risk assessment through prediction market data, integration into strategic planning. Contracts from $5 000 to $50 000 per project, depending on scale.
3. An educational platform with courses on prediction market analysis, risk management, and building proprietary models. Course price $200–800; the presence of a mentorship program increases the ticket to $2 000.
4. A monitoring and alerts tool for traders: tracking odds movement, automatic notifications about significant changes. Subscription $30–100 per month, corporate licenses from $500.
5. A white-label solution for creating corporate prediction markets: internal surveys, project evaluation, indicator forecasting. License from $1 000 per month; customization and support are paid separately.
6. A news portal focused on prediction market data: interviews, analyses of large positions, investigations. Monetization through subscriptions, advertising, and media partnerships.
Risks and limitations
Regulatory pressure is increasing: U.S. authorities are already prosecuting insiders, and lawmakers are discussing restrictions for prediction markets. Technological risks include manipulation and dependence on user trust. Competition is growing: major players like Kalshi are attracting significant investments. For startups, the key challenge is to build a reputation and ensure liquidity in new markets.
7-day action plan
Day 1–2: study the top 5 prediction market platforms, register, analyze the commission structure and user flows. Day 3: define the niche: aggregation, analytics, or infrastructure. Day 4: create an MVP plan and estimate development costs. Day 5–6: conduct 10 interviews with potential clients, collect feedback. Day 7: formulate a monetization hypothesis, calculate unit economics, and make a decision on launching a pilot project.
Original news: Fast Company · See other news in the news section.
