a16z Podcast Chris Dixon on How to Build Networks, Movements, and AI-Native Products
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Sep 10, 2025 
Chris Dixon, a general partner at a16z known for his focus on Web3 and network economies, joins Anish Acharya, who invests in AI-native consumer products. They dive into why some tech products create powerful networks while others do not. Key topics include the impact of Moore's Law on growth, how tools can evolve into networks, and the shifting landscape of consumer preferences. They also discuss the role of open-source technology in democratizing AI and the challenges it faces, offering a hopeful perspective on the future of innovation.
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Exponential Forces Drive Tech Winners
- Tech success often comes from exponential forces like Moore's Law, composability, and network effects.
- These compounding forces explain why tiny startups can become massively valuable companies over time.
Launch With A Tool, Then Layer Networks
- Come for a great single-player tool and then layer network features that genuinely add value.
- Make the product useful from day one, and only add social layers when they solve real user needs.
Networks Can Live Outside Your Product
- Networks can be externalized to the internet through brand, SEO, and adjacent platforms.
- That external network effect may reduce the need for product-native networks but shifts power to timing and discoverability.
