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Anil Dash

Anil Dash

@anil-dash · 19 positions · On ppll ↗

Technologist and writer, a blogger since 1999, formerly chief executive of Glitch and a board member of the Data & Society Research Institute. His 2012 essay "The Web We Lost" is one of the founding texts of the argument that the open web has been enclosed.

Anil Dash did not write this page.

We collected these quotes from things they published elsewhere, and every quote links to where it was said. They have no account here and have not endorsed this site. Quotes are word for word; the short line under each one is our own restatement, not their wording. Their own site. Is this you? Claim it or ask us to remove it. Or tell us what is wrong here.

6 of Anil Dash's claims fit 5 mental models. Most often: Incentives, Less, but better, Lock-in and switching costs.

Models we see in what they say

Our reading: their claim applies the idea without naming it. The claim is theirs; filing it here is ours.

Incentives

Look at what people are rewarded for; it explains more behaviour than what they say, your own included.

Used by 85 others

The bargain that funded the open web was that a crawler could take your pages because it would send you readers; an AI crawler that sends nobody has broken it.

  1. Anil Dash Technologist and writer, a blogger since 1999 The deal was always simple: search engines had permission to crawl sites because they were going to be sending users to those sites. If they're hitting your site half a million times for every one user they send to your site, all they're giving you is higher costs. Endgame for the Open Webanildash.com · 27 Mar 2026All korrents from this piece
    The deal was always simple: search engines had permission to crawl sites because they were going to be sending users to those sites. If they're hitting your site half a million times for every one user they send to your site, all they're giving you is higher costs.

Less, but better

Find the essence and cut the rest; simplicity is hard work, not the absence of effort.

Used by 59 others

AI works best when it solves a specific problem for a particular community rather than trying to be all things to all people.

  1. Anil Dash Technologist and writer, a blogger since 1999 And that's the way AI should work - solving a specific problem for a particular community, instead of trying to be all things to all people, which is when these platforms start becoming unaccountable and start harming massive numbers of people. (One) Good AI Is Hereanildash.com · 28 Apr 2026All korrents from this piece
    And that's the way AI should work - solving a specific problem for a particular community, instead of trying to be all things to all people, which is when these platforms start becoming unaccountable and start harming massive numbers of people.

Lock-in and switching costs

People stay with what they would not choose again because leaving costs more than staying; watch who sets that cost.

Used by 18 others

Closing off interoperability is how a platform locks people in, and that lock-in is what lets the service be made worse without losing them.

  1. Anil Dash Technologist and writer, a blogger since 1999 Meanwhile, others like Spotify and Netflix leverage their dominant positions in the market to coerce creators to abandon open podcasts entirely, in favor of proprietary formats that require listeners to be on those platforms — locking in both creators and their audiences so they are stuck as they begin the enshittification process. Endgame for the Open Webanildash.com · 27 Mar 2026All korrents from this piece
    Meanwhile, others like Spotify and Netflix leverage their dominant positions in the market to coerce creators to abandon open podcasts entirely, in favor of proprietary formats that require listeners to be on those platforms — locking in both creators and their audiences so they are stuck as they begin the enshittification process.

Network effects

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

Used by 7 others

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.

Value moves to what stays scarce

When something becomes cheap and plentiful, the value moves to whatever is still rare next to it.

Used by 60 others

The web is being flooded with coherent, generic, generated text that buries the writing worth reading.

  1. Anil Dash Technologist and writer, a blogger since 1999 As publishers see the danger from AI bots expand, they retreat to putting more and more content behind either password protection or payment walls or both, leaving the only publicly-accessible content to be AI-generated slop; open resources like research work, scientific analysis, and fair use of content all suffer as a result of people responding to the bad actors, since legitimate uses of open content are no longer possible. Endgame for the Open Webanildash.com · 27 Mar 2026All korrents from this piece
    As publishers see the danger from AI bots expand, they retreat to putting more and more content behind either password protection or payment walls or both, leaving the only publicly-accessible content to be AI-generated slop; open resources like research work, scientific analysis, and fair use of content all suffer as a result of people responding to the bad actors, since legitimate uses of open content are no longer possible.