web3 with a16z crypto AI, Networks, and What Makes Consumer Products Win
39 snips
Nov 24, 2025 
Chris Dixon, a general partner at Andreessen Horowitz specializing in crypto and consumer tech, joins Anish Acharya to discuss the future of consumer software. They delve into how exponential forces like Moore’s Law and network effects determine tech winners. Dixon highlights the evolution of tools into robust networks, the significance of niche communities in driving innovation, and the implications of open-source AI. The conversation also touches on the economics of paid consumer software in today's rapidly shifting landscape.
AI Snips
Chapters
Transcript
Episode notes
Three Exponential Forces Drive Tech Winners
- Tech success is driven by exponential forces: Moore's Law, composability, and network effects.
- These forces overpower tactical product choices and determine winners over time.
Come For The Tool, Stay For The Network
- Start by building a great single-user tool and then layer network features that add real utility.
- Piggyback on existing networks early to bootstrap usage before your own network emerges.
AI Tools Lack Native Network Defensibility
- AI tools today are many and varied but often lack built-in networks for defensibility.
- Brand effects and external internet networks can substitute for in-product network effects today.