“AlphaRaccoon” Bet $2.7M on Google Searches He Already Knew — Using Polymarket
A Google security engineer used Year in Search data nobody had seen yet to place 25 bets on a prediction market. He made $1.2 million. Then the feds showed up.
Michele Spagnuolo, 36, wagered $2.7 million across 25 Polymarket bets using unreleased Google “Year in Search” data — netting $1.2 million profit before getting arrested in New York.
Spagnuolo worked at Google for 12 years as an information security engineer. He lives in Switzerland. His Polymarket username? “AlphaRaccoon.” That’s the kind of username you pick when you think nobody’s watching.

🧩 Dumb Mode Dictionary
| Term | What It Actually Means |
|---|---|
| Polymarket | A website where you bet real money on whether something will happen (like “Will X be the most Googled person?”). Think sports betting but for news events. |
| Insider trading | Using secret information from your job to make bets or trades before the public knows. Extremely illegal. |
| Year in Search | Google’s annual report showing who/what got searched the most. Published at the end of each year — but prepared internally months before. |
| Prediction market | A platform where you buy “shares” in outcomes. If you’re right, you profit. If wrong, you lose your money. |
| Commodities fraud | The legal charge for cheating on a market using information others don’t have. |
| Wire fraud | Doing fraud over the internet or phone lines. The government’s favorite charge because literally everything is “over a wire” now. |
🕵️ The Play: How AlphaRaccoon Did It
Here’s what this guy actually did, step by step:
- Google prepares its “Year in Search” data internally before publishing it publicly
- Spagnuolo accessed this data using an internal tool available to all Google employees
- He knew which person would be named the #1 most-Googled individual of 2025 — the rapper d4vd — before anyone else
- He opened Polymarket, where people were betting on this exact question
- Most traders gave d4vd “near-zero probability” of being #1
- AlphaRaccoon went all in
The result → $1.2 million profit on 25 separate bets. The whole thing happened under a pseudonym from Switzerland. He thought he was untouchable.
📊 The Receipts: Where the Money Went
| Bet | Amount Wagered | Outcome |
|---|---|---|
| d4vd will be #1 most Googled | Large position at near-zero odds | |
| Bianca Censori (Kanye’s wife) will NOT be #1 | ~$1,000,000 | |
| Pope Leo XIV will NOT be #1 | ~$600,000 | |
| Total across 25 bets | $2,700,000 | $1,200,000 profit |
He was released on $2.25 million bond — $1 million in cash. So roughly his entire profit went straight back out the door just to stay out of jail.
🔑 Google's Response (It's Weak)
Google’s official statement:
“The employee accessed our marketing material using a tool available to all employees, but using such confidential information to place bets is a serious breach of our policies.”
Between you and me, that’s a hell of an admission. A tool “available to all employees” gave this guy access to data worth $1.2 million on a betting market. They didn’t restrict access. They didn’t flag unusual lookups. They basically left a vault open and are now shocked someone walked in.
Spagnuolo has been placed on leave. Not fired. Leave.
📈 This Isn't Even the First Time
This is the second Polymarket insider trading bust in a month:
- April 2026: U.S. Army Special Forces master sergeant Gannon Ken Van Dyke was arrested for using classified military info to bet on contracts related to the operation to capture Venezuela’s president Maduro → made over $400,000
- May 2026: Now Spagnuolo with the Google Year in Search data → $1.2 million
And here’s the irony → President Trump just vowed on Truth Social to let prediction markets “thrive” by asserting federal regulators’ “exclusive authority” over them. Translation: these platforms are about to get MORE mainstream, not less. Which means MORE people with inside info will try this exact play.
⚖️ The Charges
Spagnuolo faces:
- Commodities fraud — the big one
- Wire fraud — because internet
- Money laundering — moving the winnings around
- Additional counts not yet fully disclosed
He hasn’t entered a plea yet. If convicted on all counts, we’re talking potentially decades. For betting on Google searches. That’s the world we live in now.
Cool. So prediction markets are turning into insider trading playgrounds. Now What the Hell Do We Do? ( ͡° ͜ʖ ͡°)

🔍 The Leak Radar
Every publicly traded company, every government agency, every tech giant has internal data that — if leaked even slightly — moves prediction markets. The play? Build a monitoring dashboard that tracks unusual bet volume on Polymarket and Kalshi right before major announcements. When someone suddenly bets $500K on a near-zero-probability outcome, that’s a signal. Sell that signal to journalists, short sellers, and compliance teams.
Example: A 28-year-old data analyst in Estonia scrapes Polymarket’s public API for volume spikes on Google-related contracts. She notices a whale loading up on d4vd three weeks before Year in Search drops. She tips a journalist at a Dutch tech blog, who breaks the story. Her Substack covering “prediction market anomalies” goes from 200 to 14,000 subscribers.
Timeline: First anomaly detection working in 3-5 days using Polymarket’s public API. First paying subscriber within 2 weeks. Gets saturated once major finance outlets copy your model — maybe 4-6 months.
🪟 The Compliance Panic Window
Right now, every big tech company is doing an emergency review of who has access to what internal data. That review → they need consultants, tools, and audit services. Companies like Google, Meta, Apple all have thousands of employees with access to market-moving info (product launches, search trends, ad revenue figures). None of them had proper controls. Now they all need them. Fast.
Here’s what you do: build a simple internal-data-access auditing template specifically for “prediction market exposure” — which is a thing that literally didn’t exist as a compliance category until this week. First-mover takes the niche.
Example: A 31-year-old freelance security consultant in Poland packages a “Prediction Market Insider Risk Assessment” as a 10-page PDF + spreadsheet toolkit. Charges €2,500 per engagement. Lands 3 clients from LinkedIn cold outreach to compliance officers at mid-size tech firms who just read the Spagnuolo headlines. €7,500 in the first month.
Timeline: Template done in 2 days. First outreach same week. Window is 2-3 months before the Big Four consulting firms formalize their own version and price you out.
🎣 The Reverse Canary
Prediction markets are public. The bets are visible. The usernames are visible. So here’s the angle nobody’s talking about: companies can use prediction markets as honeypots. Plant fake internal data, watch which prediction market accounts move, trace the leak. It’s a canary trap but the canary is a Polymarket bet.
You don’t need to be Google to use this. Any startup with confidential launch dates, pricing changes, or partnership announcements can create a Polymarket contract, share slightly different versions of the data with different teams, and watch who bets.
Example: A 26-year-old security researcher in Lisbon writes a blog post explaining this technique with a working Python proof-of-concept. It gets picked up by Hacker News. Two security firms reach out for consulting gigs. He charges €150/hour for “prediction market leak detection” workshops. Makes €6,000 in the first month from 4 sessions.
Timeline: Blog post + code in 1 weekend. First viral share within a week if timed to the news cycle. Consulting pipeline builds over 4-6 weeks. Burns out as a hot topic in ~3 months.
📡 The Shadow Odds Feed
Polymarket odds update in real time. They’re essentially crowdsourced probability estimates. The play: build a browser extension or Telegram bot that tracks Polymarket odds on specific categories (tech announcements, political events, crypto) and alerts users when odds shift dramatically in a short window. This is the poor man’s Bloomberg terminal for prediction markets.
Nobody has a good, free, real-time Polymarket alert system yet. There are some paid ones, but nothing clean and free that a normal person would use.
Example: A 22-year-old developer in the Philippines builds a Telegram bot that pings you when any Polymarket contract moves more than 15% in 2 hours. He charges nothing for the bot but runs a private Telegram group for “deep analysis” at $9/month. Gets 800 paid members within 6 weeks from crypto Twitter. That’s $7,200/month.
Timeline: Bot working in 3-4 days using Polymarket’s websocket API. First users within a week via Reddit and Twitter promotion. Revenue starts week 3. Peaks at ~2,000 subscribers before competition catches up (4-5 months).
🕳️ The AlphaRaccoon Dictionary
When big news breaks, a new vocabulary is born. “AlphaRaccoon” is already becoming internet slang for “insider who got caught.” The phrase “prediction market insider risk” didn’t exist a week ago. Every time a new scandal creates new jargon, the first person to own the SEO for that jargon wins.
Here’s what you do: register domains like predictionmarketinsider.com or alpharaccoon.io. Write the definitive explainer. Build a glossary page. Every journalist writing about the next prediction market scandal will link to the best reference page — yours.
Example: A 24-year-old SEO nerd in Morocco registers “predictionmarketfraud.com” the day the news breaks. Writes a 2,000-word explainer with a glossary, timeline, and FAQ. Within 10 days he’s ranking page 1 for “polymarket insider trading explained.” Slaps affiliate links to trading education courses. Makes $400/month in passive affiliate revenue within 6 weeks.
Timeline: Domain + article live in 1 day. SEO ranking within 1-2 weeks (low competition keyword). Affiliate revenue starts trickling in week 3. Stays relevant as long as prediction market scandals keep happening (and they will).
🛠️ Follow-Up Actions
| Want To | Do This |
|---|---|
| Monitor Polymarket whale bets | Use Polymarket API docs to build a scraper |
| Track odds shifts in real time | Build a Telegram bot with Polymarket’s websocket feed |
| Sell compliance consulting | Google “prediction market insider risk” — you’ll see zero competition. Claim it. |
| Win the SEO race | Register a domain this week and publish the definitive explainer |
| Understand the legal landscape | Read the DOJ complaint against Spagnuolo — it’s a masterclass in how they trace pseudonymous bets |
Quick Hits
| Want | Do |
|---|---|
| Open a free Polymarket account, browse active contracts, watch how odds move | |
| Ask your IT team: “Who can see unreleased data?” If the answer is “everyone” — you have a problem | |
| Use Dune Analytics to monitor on-chain Polymarket flows | |
| Prediction market bets using insider info = same charges as stock insider trading now | |
| AlphaRaccoon’s mistake: 25 bets, all correct, all in one category. The pattern was too clean. |
He had 12 years at Google, a cushy job in Switzerland, and a $2.25 million bond receipt — all because he couldn’t resist betting on something he already knew. The raccoon got trapped.
!