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Network effects

Something worth more to each user the more users it has; a strong defence, but not one that lasts by itself.

Our reading of the idea · 6 claims from 6 people, in their own words

Who thinks with this

Anil DashBenedict EvansCasey MuratoriEvan SpiegelJason EvanishYihui Xie

Network effects are not a sufficient moat, because software features get copied however many patents you hold.

  1. Evan Spiegel Co-founder and CEO of Snap Inc. network effects are certainly an important piece of the puzzle for sure, um but I don't think they're enough when it comes to these sorts of software uh you know, software cloning. How to win when software is not a moat | Evan Spiegel (Snapchat CEO)youtube.com · 26 Apr 2026 · 0:12:03 into the videoAll korrents from this video
    network effects are certainly an important piece of the puzzle for sure, um but I don't think they're enough when it comes to these sorts of software uh you know, software cloning.

    Watch from 0:12:03 plays here

    ↗How to win when software is not a moat | Evan Spiegel (Snapchat CEO)youtube.com

    26 Apr 2026 · video · 1h 10m · spoken · machine transcript

Performance cannot win a market on its own: against an incumbent held up by network effects, being far more responsive is a nice plus and nothing more.

  1. Casey Muratori Game and engine programmer maybe performance could be part of a package where you try to take on one of those players. like, hey, look at how much more responsive our thing is than theirs. Might be a nice plus, but that's not going to be sufficient. Why performant code matters (but gets widely ignored), with Casey Muratoriyoutube.com · 26 Aug 2026 · 0:18:28 into the videoAll korrents from this video
    maybe performance could be part of a package where you try to take on one of those players. like, hey, look at how much more responsive our thing is than theirs. Might be a nice plus, but that's not going to be sufficient.

    Watch from 0:18:28 plays here

    ↗Why performant code matters (but gets widely ignored), with Casey Muratoriyoutube.com

    26 Aug 2026 · video · 1h 53m · spoken · machine transcript

Large language models have no network effect, and remembering a user is a switching cost rather than one.

  1. Benedict Evans Technology analyst whose weekly email on tech reaches over 150,000 readers there's no apparent equivalent in LLM right now there's no reason why the LMS get better because more people use them now that may come you have that open AI and people have doing memory where it remembers what else you've asked, but that seems more like a switching cost than a network effect. Why Everyone Is Wrong About AI (Including You) | Benedict Evansyoutube.com · 2 Sept 2025 · 0:30:55 into the videoAll korrents from this video
    there's no apparent equivalent in LLM right now there's no reason why the LMS get better because more people use them now that may come you have that open AI and people have doing memory where it remembers what else you've asked, but that seems more like a switching cost than a network effect.

    Watch from 0:30:55 plays here

    ↗Why Everyone Is Wrong About AI (Including You) | Benedict Evansyoutube.com

    2 Sept 2025 · video · 1h 11m · spoken · machine transcript

A tool's popularity can become a self-reinforcing network effect rather than a sign of technical merit.

  1. Yihui Xie Statistician and software engineer who writes R packages… The popularity feeds the tooling, and the tooling feeds the popularity. That's not a technical argument-it's a network effect. Converting testthat Tests to testityihui.org · 15 May 2026All korrents from this piece
    The popularity feeds the tooling, and the tooling feeds the popularity. That's not a technical argument-it's a network effect.

Network effects protect a company from competition longer than any data-based lock-in does.

  1. Jason Evanish Founder and CEO of Get Lighthouse As long as the network keeps delivering on its core value, that buys more time than any data lock-in strategy. The SaaS Reset: Why SaaS is changing, not going away.jasonevanish.com · 18 Feb 2026All korrents from this piece
    As long as the network keeps delivering on its core value, that buys more time than any data lock-in strategy.

People often keep using large tech platforms whose harms they object to because of the platforms' coercive power over their lives.

  1. Anil Dash Technologist and writer, a blogger since 1999 There are millions of people who don't like that they're using LLMs provided by the Big AI companies, but end up using them anyway. Maybe it's time for lots of little indie AIs to take overanildash.com · 15 Jun 2026All korrents from this piece
    There are millions of people who don't like that they're using LLMs provided by the Big AI companies, but end up using them anyway.

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