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Network effects in financial infrastructure are slow at first. Then they aren't. Every Zone that connects makes every other Zone more valuable. The network compounds. The market is global Finance. All of it.
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Everyone over estimates network effects in the short run and under estimates them in the long run. Uber / Lyft is a great example.
Moats in the AI age: - money - distribution - network effects - IP - brand None of these are technical
Continue to believe that $CRCL is underappreciated. The network effects in stablecoins are around the asset and they are incredibly difficult to displace. Many will try, very few if any will succeed.
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Circle’s Q1 results show the continued compounding of USDC’s network effects across circulation, transaction volume, and real-world utility.
Non-human traffic is about to dwarf human traffic. @jmj on what that does to network effects: "As Claude and OpenAI kill more and more enterprise companies, the logical next place founders would spend time is consumer. One of the most underrated themes is the simplicity of network effects, which we seem to forget. And with AI today you can potentially build network effects potentially than before in consumer businesses. One is you can just build software much faster. So if you identified a segment or a market, you can go more aggressively after those customers. And then two, it's a little more nuanced. Non-human web traffic is going to become such a bigger piece of the internet than humans. And there are network effects with how agents interact with each other and the decisions they make as to what products they choose to use. A non-consumer version of this would be Supabase, which has great network effects within agents spinning up databases. It's this whole new category of company building on the enterprise side. But building products that really appeal to the non-human customer is gonna be a really interesting place to spend time too."
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Circle is a company of networks, powered by network effects. @chandhok on why network businesses are superior to software businesses.
Speedrun consumer founders brainstorming with @joshelman On five types of Virality On network effects in AI On lessons from Apple, LinkedIn, Robinhood, Discord, Zazzle and more!
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Marketplace will do well as software commoditizes. AI won’t be able to recreate network effects in the way it can rebuild software. Marketplace platforms like DoorDash, Uber, and Airbnb will be able to ship their product roadmap 10X faster.
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Moats for companies in an AI world where software is commoditized: - proprietary data - physical infrastructure - massive capital - regulatory capture - network effects - distribution Am I missing anything?
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