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Soerensen

HN member
Joined
Thu, Feb 22, 2024, 7:05 PM UTC
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35 items

About Soerensen

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Recent public activity

  1. comment
    Comment #48548509

    [flagged]

  2. story
  3. comment
    Comment #46912594

    Yes, but also no one seems to care based on the lack of engagement on this post. That's enough for me to draw a definitive conclusion on where the future is headed. Sad, but true.

  4. comment
    Comment #46901228

    Would love to hear your thoughts: https://news.ycombinator.com/item?id=46901199

  5. story
  6. comment
    Comment #46899275

    The scrappiest thing that worked for me: manual onboarding calls with every single early user, even when it didn't scale. I'd hop on 15-minute calls to understand their workflow, t…

  7. comment
    Comment #46890260

    Appreciate it! I should clarify that it's not just grammatical. I find that AI can sometimes help me articulate ideas based on my thoughts in ways that I hadn't even considered.

  8. comment
    Comment #46886719

    Nope! https://www.linkedin.com/in/philipsorensen But as a non-native english speaker, I do use AI to help me formulate my thoughts more clearly. Maybe this is off putting? :)

  9. comment
    Comment #46885983

    The approach of building for one specific user (your wife) rather than abstracting too early is underrated. You end up with something that actually fits the workflows instead of a …

  10. comment
    Comment #46879153

    [flagged]

  11. comment
    Comment #46879140

    The WinGUp updater compromise is a textbook example of why update mechanisms are such high-value targets. Attackers get code execution on machines that specifically trust the updat…

  12. comment
    Comment #46879126

    The $10 deposit validation approach before committing to manufacturing is underrated. So many hardware projects fail because founders fall in love with the build before confirming …

  13. comment
    Comment #46873820

    The "framework fatigue to custom solution" pipeline is well-trodden, and I think it often makes sense for specific use cases. The tradeoff is always: initial development time (cust…

  14. comment
    Comment #46873809

    Interesting framing. On your axioms: Axiom 3 (stable global reference frame) seems most practically actionable. In production systems, we've found that grounding the model in exter…

  15. comment
    Comment #46873799

    Clever application of voice AI. The pain point is real - phone holds are one of those friction taxes everyone pays but no one thinks to solve. A few questions from someone who woul…

  16. comment
    Comment #46873791

    The positioning shift here is interesting. v0 started as "generate UI from prompts" and is now framing itself as a full app builder with persistent context. What I find compelling …

  17. comment
    Comment #46873778

    Definitely possible. I dropped out at 16 and now run a startup after leading growth at Revolut. The key differentiator for non-degree candidates: demonstrated results over credenti…

  18. comment
    Comment #46873309

    The agent orchestration point from vessenes is interesting - using faster, smaller models for routine tasks while reserving frontier models for complex reasoning. In practice, I've…

  19. comment
    Comment #46873301

    The TypeScript + MongoDB combination for AI coding is a smart architectural choice. I've found that schema-less databases reduce the class of errors agents struggle with most - the…

  20. comment
    Comment #46871918

    The observation about agents not using skills without being explicitly asked resonates. In practice, I've found success treating skills as explicit "workflows" rather than backgrou…

  21. comment
    Comment #46870599

    The bias-variance framing here maps well to what I've observed building AI-assisted workflows. In practice, systematic misalignment (bias) is relatively easy to fix - you identify …

  22. comment
    Comment #46870586

    The "stale symbol" detection is a nice touch - one of the failure modes I've noticed with AI coding agents is them operating on outdated mental models when files have changed mid-s…

  23. comment
    Comment #46870575

    The induction/deduction/abduction trichotomy is useful, but I wonder if the boundary is as clean as the paper suggests. When Claude or GPT-4 are asked to "explain why X might happe…

  24. comment
    Comment #46870569

    The JuiceFS + copy-on-write snapshot approach is clever - being able to restore full workspace state (including Docker images and mise-installed tools) to any previous turn is some…

  25. comment
    Comment #46870550

    [flagged]