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The scandal with a Google engineer revealed the unexpected potential of the prediction market. While some are shouting about ethics violations, others see a gold mine for legal earnings from analytics and forecasting.
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What happened
Google engineer Michele Spagnuolo found himself at the center of an investigation by U.S. federal authorities. According to investigators, he used confidential search engine data to place bets on the Polymarket platform — a prediction market where users earn money from the accuracy of forecasts. His main $1.2 million bet concerned whether D4vd — a person accused of murder — would become the most searched person on Google in 2025. This case brought to the surface a powerful tool for those who know how to work with data and forecasting.
How this is useful for business
The Spagnuolo story is not just a crime chronicle. It is a demonstration that prediction markets have turned into a serious tool for business analytics. Companies already use Polymarket and its analogues to assess demand, forecast trends, and reduce risks when launching products. The incident showed: data is currency, and the ability to interpret it brings in millions. For entrepreneurs, this is a signal — it is time to master analytics and build forecasting into strategy.
How to make money from this
Legal ways to monetize prediction markets exist and work. First, trend analytics: tracking bets on Polymarket allows you to understand market expectations earlier than competitors. Second, consulting for companies that want to use predictive models. Third, creating your own tools for collecting and processing public data. Fourth, educational products on working with analytics. Fifth, partnerships with prediction platforms to develop new markets.
Business ideas
1. Prediction market monitoring service with API access for traders and analysts. Subscription from $99/month, additional income from advertising analytical reports.
2. Data preparation agency for corporate clients: cleaning, structuring, and visualizing information for decision-making. Contracts from $5,000/month.
3. Educational platform on data work and forecasting for small businesses. Courses from $199, corporate packages from $2,000.
4. Tool for A/B testing hypotheses through prediction market mechanics. Freemium model with paid extensions from $29/month.
5. Consulting company for integrating predictive analytics into startup business processes. Hourly rates from $150, project fees from $10,000.
Risks and limitations
The main risk is legal. The use of insider information is prosecuted by law, and the case with the Google engineer confirmed this. For business, this means: work only with public data, document all sources, involve lawyers to review the methodology. Technical risks include the volatility of prediction markets and dependence on platform policies. Ethical risks are related to audience perception: manipulative tactics can destroy a reputation.
7-day action plan
Day 1-2: Study Polymarket, Binance Prediction and analogues. Register, observe active markets, identify a niche for analysis. Day 3: Collect data on current trends in the selected niche, create a table to track changes. Day 4: Analyze competitors — what services already exist, what their weaknesses are. Day 5: Formulate the MVP of your product or service, write the first description for potential clients. Day 6: Test demand — launch a survey in professional communities, collect feedback. Day 7: Adjust the offer, determine the minimum viable price, set a launch date.
Original news: Entrepreneur · See other news in the news section.
