Google Engineer Charged With Using Secret Work Information to Win Money on Betting Platform

Google Engineer Charged With Using Secret Work Information to Win Money on Betting Platform
A Google engineer has been charged with insider trading after allegedly using information he learned at work to place winning bets on Polymarket, a betting platform that operates on blockchain technology (a decentralized digital ledger system). Michele Spagnuolo, 36, is accused of making more than $1.2 million in profits by betting on outcomes he had early knowledge of through his job as a security engineer at Google.
Spagnuolo used an online alias, 'AlphaRaccoon', when placing bets on Polymarket. The Department of Justice charges that he used non-public information available to him at Google to make these wagers.
The Search Prediction Bet
The core of the government's case centers on a specific bet: Spagnuolo wagered that indie musician D4vd would become the most-searched person on Google in 2025. When he placed the bet, almost no one on Polymarket thought this would happen. Then D4vd was arrested on suspicion of murder, an event that caused millions of people to search for him online. His name subsequently appeared on Google's annual most-searched list.
Prosecutors say that Spagnuolo, in his role at Google, had access to data about what people were searching for and how Google compiled its year-end lists. Other people betting on Polymarket did not have this information. This gave him an unfair advantage.
Hidden Money and International Transfers
The government also accuses Spagnuolo of laundering money—transferring the profits in ways designed to hide where they came from and avoid detection by U.S. authorities. According to the charges, he moved money to accounts in Italy as part of this effort.
This adds a second layer of criminal charges beyond insider trading. It also signals that federal prosecutors are willing to pursue cases that cross international borders, especially when cryptocurrency and blockchain-based platforms are involved.
A Similar Military Case
Around the same time, the military charged an Army Special Forces sergeant, Gannon Ken Van Dyke, 38, with a related crime. Van Dyke allegedly used inside knowledge of a planned military operation to bet on Polymarket about whether Venezuelan leader Nicolás Maduro would be captured. According to court documents, Van Dyke worked on planning this operation for about one month starting in December 2025 and placed bets knowing what was likely to happen.
President Donald Trump stated he was unaware the soldier involved in the Venezuelan operation faced charges.
What These Cases Mean for Prediction Markets
Prediction markets are platforms where people bet on the outcomes of real-world events—elections, natural disasters, business developments, and so on. Polymarket became especially well-known during the 2024 election when large numbers of people used it to place bets on who would win.
Until recently, prediction markets operated in a gray area legally. These two cases signal that federal prosecutors now view them as financial markets subject to the same rules that prevent insider trading on stocks or bonds. The idea is straightforward: using secret information to gain an unfair advantage in any market where money is at stake is illegal, whether that market trades stocks or bets on real-world events.
The broader context here is that prediction markets have moved from being a niche cryptocurrency experiment to becoming genuine financial activity. Traditional financial companies are starting to pay attention, and regulators and prosecutors have begun to treat them seriously.
How Prosecutors Built the Case
The government had to solve a real puzzle: Spagnuolo was using a fake name online. How did they find him?
Prosecutors used traditional investigative methods combined with blockchain analysis—a technique that traces digital transactions on the blockchain ledger. The use of a fake identity ultimately did not shield him from identification. This suggests that federal authorities are developing the tools and expertise to track financial activity even when it involves cryptocurrency and pseudonymous accounts.
The case also tests a legal question: does traditional insider trading law apply to prediction markets, which are newer and work differently from stock markets. The government's answer, based on these charges, is yes—if you use secret information to gain an unfair financial advantage, it is illegal, regardless of what kind of market you are using.
We have seen this pattern before. When electronic trading emerged in the 1990s, regulators applied existing rules designed for stock markets to these new technologies rather than creating entirely new laws. The same thing is happening now with prediction markets.
What Comes Next
For companies that run prediction markets, these cases are a warning. They may need to build better systems to catch suspicious trading patterns—for example, sudden unusual bets that later turn out to be correct. Platforms like Polymarket have emphasized minimal rules and permissionless access, but these cases suggest that may no longer be realistic.
From a regulatory perspective, these prosecutions establish that federal authorities will pursue insider trading on blockchain-based platforms with the same intensity they bring to traditional financial markets. This marks a shift from watching and waiting to active enforcement.
It is worth noting that the outcome of these cases will likely shape how prediction markets develop and operate in the coming years. Other market operators and participants will be watching to see what penalties Spagnuolo and Van Dyke face, as that will clarify what regulators and prosecutors consider acceptable behavior.


