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Andrew Chen

Personal blog · andrewchen.substack.comstartupsbusiness

Andrew Chen writes @andrewchen, a personal blog at andrewchen.substack.com about startups and business. Since 2024, 12 different Hacker News readers have linked it 22 times, most often “Revenge of the GPT Wrappers: Defensibility in a world of commoditized AI models”. It is still writing: the last post was on 2026-10-27, and you can follow it by feed.

Visit the blog
22mentions?
12HN people?
2024–2025first – last linked?
Links on Hacker News per year · peak 13 in 2025

Too few sampled comments (2) to say how often HN recommends it.?

Why HN links it

HN readers link Andrew Chen's Substack for writing on startup strategy, such as network effects and moats in AI products, and on bureaucracy and organizational dynamics.

Summarised by Claude from a sample of 2 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Venture capital in tech, entertainment, and AI.

Most-linked posts?

  1. Revenge of the GPT Wrappers: Defensibility in a world of commoditized AI models
    3 people · 3 mentions · first linked 2025-02-05
  2. DoorDash's v1 was 8 PDF menus on a static HTML website
    2 people · 2 mentions · first linked 2025-03-24
  3. Every Marketing Channel Sucks
    2 people · 2 mentions · first linked 2025-04-09
  4. Traffic spikes are bad for your product
    2 people · 2 mentions · first linked 2025-01-29
  5. Why retention is so hard for new tech products
    2 people · 2 mentions · first linked 2025-09-11
  6. Bureaucrat Mode
    2 people · 2 mentions · first linked 2024-10-04

What Hacker News says?

  1. The road to bureaucrat hell is paved with good intentions https://andrewchen.substack.com/p/bureaucrat-mode

    Comment linking /p/bureaucrat-mode

    on “The carefulness knob”
  2. Submitted Revenge of the GPT Wrappers: Defensibility in a world of commoditized AI models as a story · 135 points

    HN discussion
  3. light_triad · 2025-02-20Recommends
    AI enables new tools & features but in itself is not a product. There's a good essay from Andrew Chen on this topic: Revenge of the GPT Wrappers: Defensibility in a world of commoditized AI models "Network effects are what defended consumer products, in particular, but we will also see moats develop from the same places they came from the past decades: B2B-specific moats (workflow, compliance, security, etc), brand/…

    Comment linking /p/revenge-of-the-gpt-wrappers-defensibility

    on “You can’t build a moat with AI (redux)”
  4. Submitted The case against morning yoga, daily routines, and endless meetings as a story · 113 points

    HN discussion
  5. Submitted Bureaucrat Mode as a story · 109 points

    HN discussion
  6. Submitted Traffic spikes are bad for your product as a story · 82 points

    HN discussion
  7. Submitted DoorDash's v1 was 8 PDF menus on a static HTML website as a story · 7 points

    HN discussion
  8. Submitted Every Marketing Channel Sucks as a story · 4 points

    HN discussion
  9. Submitted Why your product idea sounds too complicated as a story · 4 points

    HN discussion
  10. Submitted Novelty effects and Dopamine Culture rule the tech industry as a story · 4 points

    HN discussion
  11. Submitted Every Marketing Channel Sucks as a story · 3 points

    HN discussion
  12. Submitted DoorDash's v1 was 8 PDF menus on a static HTML website as a story · 3 points

    HN discussion
  13. Submitted My product went viral on social media but all I got were these shitty users as a story · 3 points

    HN discussion
  14. Submitted Why retention is so hard for new tech products as a story · 2 points

    HN discussion
  15. Submitted The Growth Maze vs. the Idea Maze as a story · 2 points

    HN discussion
  16. Submitted How the coupon was invented, and how tech propels marketing as a story · 2 points

    HN discussion
  17. Submitted How the coupon was invented, and how tech propels marketing as a story · 2 points

    HN discussion
  18. Submitted Why retention is so hard for new tech products as a story · 1 points

    HN discussion
  19. Submitted Vibe coding, some thoughts and predictions as a story · 1 points

    HN discussion
  20. Submitted Revenge of the GPT Wrappers: Defensibility in a world of commoditized AI models as a story · 1 points

    HN discussion
  21. Submitted Why data-driven product decisions are hard (sometimes impossible) as a story · 1 points

    HN discussion
  22. Submitted The mobile S-curve ends, and the AI S-curve begins as a story · 1 points

    HN discussion

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