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a16z Podcast

Network Effects, Moats, & the Business of web3

Jun 23, 2023
Scott Duke Kominers, a renowned A16z crypto research partner and Harvard professor, dives into the evolving landscape of Web3. He discusses how network effects drive user engagement and reshape competition, highlighting the transition from traditional platforms to decentralized environments. The conversation also delves into composability as a catalyst for innovation, emphasizing community dynamics and governance in open-source frameworks. With insights on token incentives and the need for new business strategies, Scott provides valuable guidance for builders in this transformative digital age.
01:18:24

Podcast summary created with Snipd AI

Quick takeaways

  • Strength, valence, and source are key aspects to consider when analyzing network effects in Web3.
  • Embeddedness, where platforms and assets become integrated into various services and ecosystems, is a strong source of competitive advantage in Web3.

Deep dives

Understanding Network Effects in Web3

Network effects in Web3 can be characterized by their strength, valence, and source. Strength refers to the level of influence users have on each other and the growth potential of the network. Valence focuses on the direction and positive orientation of the network effects, which are enhanced through composability in Web3. Source reveals where the network effects originate, such as liquidity, data, user know-how, or technical advantages. In Web3, the strength of network effects has increased due to the global reach and asset-based nature of the networks. Valence has become more positive as new forms of network effects emerge, encouraged by composability. However, the sources of network effects have shifted, making traditional advantages like proprietary data and technical superiority less defensible. Embeddedness, on the other hand, has become a stronger source of competitive advantage in Web3, as platforms and assets can be embedded across various services and ecosystems.

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