Tom Schmidt at Dragonfly brings over a decade of hands-on crypto experience starting with Dogecoin mining at Stanford in 2012, combined with product leadership roles at 0x, Facebook, and Instagram that give him a product manager's perspective on user experience and real adoption rather than just financial metrics. He's known for his deep technical understanding of DeFi mechanics and liquidation systems, plus his active engagement in prediction markets and AI-crypto intersection projects, while maintaining a highly online persona that helps him understand internet culture and memes—making him particularly valuable for founders building consumer crypto products.

• Fascinated by the global scaling of prediction markets and the real world data they generate over traditional polling. An interesting example is pointing out how the recent Hungarian election drove ninety million dollars in trading volume on Polymarket, proving that significant interest exists even for countries with much smaller economies than the United States.
• Closely tracking artificial intelligence progress while maintaining a healthy skepticism toward overly aggressive timeline predictions. This perspective frequently surfaces by jokingly questioning whether certain trivial company announcements or behaviors make any logical sense if artificial general intelligence is genuinely only nine months away.
• Passionate about novel decentralized finance mechanisms and creative stablecoin tokenomics that drive user engagement. One standout example is the suggestion that stablecoin issuers could learn from pachinko parlors by distributing secondary digital assets to holders, which an unaffiliated business could then buy back to create a unique indirect yield structure.