A Google engineer is facing federal charges after allegedly using his employer’s confidential data to pocket $1.2 million on Polymarket
A Google engineer has been charged with using confidential company data to earn $1.2 million on the prediction market Polymarket. Michele Spagnuolo allegedly accessed internal information to inform his bets on the platform, which included predictions about celebrity searches. If convicted, he faces up to 50 years in prison for commodities fraud, wire fraud, and money laundering.
- ▪Michele Spagnuolo, a Google engineer, allegedly used internal data to make profitable bets on Polymarket.
- ▪He reportedly wagered $2.7 million of his own money, netting a nine-figure payday.
- ▪The U.S. Attorney's Office has charged him with commodities fraud, wire fraud, and money laundering.
9 outlets in our directory ran this story, first to last over 42 hours. Coverage spans 2 points on the political spectrum — 1 lean left, 7 centre.
- ▪ Google engineer arrested for using internal search data to win $1.2 million on Polymarket — TechSpot
- ▪ Google employee charged with using search data to make $1.2 mil on Polymarket — Korea Times
- ▪ Google engineer charged with using inside information to win $1.2M on Polymarket — Crypto Briefing
- ▪ Google worker charged for using internal data to make $1.2m on Polymarket — BBC News — Tech
- ▪ Google employee charged with fraud after winning $1.2m on Polymarket — Boing Boing
- ▪ A Google employee allegedly used inside information to win $1.2 million on Polymarket — The Verge
- ▪ Google Employee Charged For Alleged Polymarket Bets - The Information — Google News
- ▪ Google employee charged with using inside information to make $1M on Polymarket — ABC News — Top
Fortune files mainly under business. We currently carry 643 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Fortune |
| Canonical URL | https://fortune.com/2026/05/28/michele-spagnuolo-google-engineer-polymarket-insider-trading-commodities-fraud/ |
| Publication time | Thu, 28 May 2026 18:44:47 +0000 |
| Retrieval time | 2026-05-28T19:18:31.032Z |
| Last seen | 2026-05-28T19:18:31.032Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | ypKKoWvjCvja · 10 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
A software engineer with more than a decade of experience at Google allegedly used internal information to pocket $1.2 million on the prediction market Polymarket.Recommended Video Michele Spagnuolo, the Google engineer who went by the username “AlphaRaccoon” online, allegedly disregarded red text at the top of an internal tool that read “Google Confidential,” and accessed data about the most-searched celebrities to help inform several bets he made on Google’s 2025 Year in Search, a marketing campaign showing the top searches from last year, according to the complaint, which was filed by the U.S. Attorney’s Office for the Southern District of New York.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Fortune.