A Conversation with Reid Hoffman
summary
Argues that web3 is a data-as-platform shift where explicit and implicit signals become the substrate for new apps. Cites Waze’s phone-location traffic maps and Google’s Android/Latitude traffic integration, LinkedIn’s Skills built from 100 million profiles plus a Wikipedia mashup that surfaces trending skills like Hadoop, and consumer examples such as Mint and Airbnb. Notes 24 Discovery Fund investments and five personal venture bets; predicts many startups will add data-driven features rather than start from data alone.
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chapters (10)
- 0:00Introduction and Web 3.0 thesis
- 1:08Evolution from Web 1.0 to Web 3.0
- 2:32Data as the foundation of Web 3.0
- 4:37User benefits from data contributions
- 6:24LinkedIn skills and data mashups
- 7:29Balancing open and closed data
- 9:54Privacy and controlled data access
- 11:38User empowerment in data sharing
- 13:21Investments in data-driven companies
- 14:29Airbnb and data-driven marketplaces
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