
Stephen Grugett
Cofounder of Manifold Markets, a platform for user-created prediction markets. Focuses on revolutionizing governance through prediction markets.
Top 3 podcasts with Stephen Grugett
Ranked by the Snipd community

24 snips
Aug 1, 2024 • 53min
Betting on the future via prediction markets, with Stephen Grugett of Manifold
Stephen Grugett, co-founder of Manifold, dives into the captivating world of prediction markets. He explains how these markets harness collective intelligence to make forecasts that often outshine traditional polls. The conversation touches on the role of social dynamics, user engagement, and even the influence of bots. Grugett shares insights on the evolution of Manifold’s systems, debates on capital efficiency, and the excitement surrounding predicting events like geopolitical incidents. It's a fascinating blend of philosophy and practical applications!

Mar 7, 2024 • 50min
Stephen Grugett: Predicting the Future with Manifold Markets — #55
The podcast delves into the world of prediction markets with the co-founder of Manifold Markets, covering topics such as the play money advantage for user engagement, simplifying prediction markets, revenue streams, legal challenges, and the future of user predictions. Additionally, it explores custom betting markets, revenue models, unique show transformations, and insights on tech enthusiasts in London and San Francisco.

May 5, 2022 • 51min
Stephen Grugett (Manifold Markets Founder) - Predictions Markets & Revolutionizing Governance
Stephen Grugett, cofounder of Manifold Markets, discusses how prediction markets can revolutionize governance. He shares insights on the growing interest from Wall Street in predicting talent and collaboration with journalism. Grugett explores the future of monetary gains, including cryptocurrency integration, while tackling usability challenges. He also addresses managerial hesitance in adopting these systems and the unique applications of prediction markets for strategic decision-making, encouraging creativity and engagement among users.