marv1nnnnn

5 ms·

1. 1.▲
   Show HN: Pi-Yahe: Yet Another Herdr Extension(github.com)

   1 points by marv1nnnnn 2mo ago|0 comments
2. 2.▲
   Agents Need Shells, Not Selves(marv1nnnnn.com)

   2 points by marv1nnnnn 3mo ago|0 comments
3. 3.▲
   Show HN: Figma MCP Without Tool Explosion – Let AI Execute JavaScript(github.com)

   1 points by marv1nnnnn 8mo ago|0 comments
4. 4.▲
   Show HN: Figma MCP is read-only,so I built a pilot MCP by code execution(github.com)

   1 points by marv1nnnnn 8mo ago|0 comments
5. 5.▲
   Show HN: I built a visualization of top AI X account interactions(ai-kol-network-analysis.youware.app)

   1 points by marv1nnnnn 9mo ago|0 comments
6. 6.▲
   Show HN: How We Escaped the Purple Prison of AI Front Ends(x.com)

   1 points by marv1nnnnn 11mo ago|1 comments
7. 7.▲
   Show HN: Mouse: Local Visualizable Task Management for Cursor(github.com)

   1 points by marv1nnnnn 1y ago|0 comments
8. 8.▲
   by marv1nnnnn 1y ago

   never heard of this one! sounds really interesting
9. 9.▲
   by marv1nnnnn 1y ago

   I just fixed the local version.. My bad, totally missed it.If you are still interested, could try it again. About the scrping step, this project using crawl4ai to scrape. Suppose the url is https://xxx/yy/ , it will onl
10. 10.▲
    by marv1nnnnn 1y ago

    I think it's really a thing about reasoning model. Non-reasoning model struggles at math too. It's more like a protocol between two math genius, they could communicate with really abstract stuff
11. 11.▲
    by marv1nnnnn 1y ago

    haha, is it that obvious? I only let LLM polished this one. I am not native speaker and I was trying to be polite ^-^
12. 12.▲
    by marv1nnnnn 1y ago

    Thanks for your comments! Really helpful. I have seen some llms.txt like this: https://docs.agno.com/llms.txt which I don't think will help LLM in real tasks. Some background of this project is I think LLM performs bet
13. 13.▲
    by marv1nnnnn 1y ago

    Thanks for the feedback. This will be my next step. Personally I feel it's hard to design those test cases (by myself)
14. 14.▲
    by marv1nnnnn 1y ago

    the description is here: https://github.com/marv1nnnnn/llm-min.txt/blob/main/sample/c...
15. 15.▲
    by marv1nnnnn 1y ago

    Agree, actually this approach isn't even possible without the birth of reasoning LLM. In my test, reasoning LLM perform much better than non-reasoning LLM in interpreting the compressed file. Those LLMs are really good at understanding
16. 16.▲
    by marv1nnnnn 1y ago

    Oof, you nailed it. Thanks for the sharp eyes on llm_min_guideline.md. That's a clear sign of me pushing this out too quickly to get feedback on the core concept, and I didn't give the supporting docs the attention they deserve. M
17. 17.▲
    by marv1nnnnn 1y ago

    Honestly it's really funny. I have the initial idea, and then brainstorm with gemini 2.5 pro a lot, let it design the system. (And in prompt let it think like Jeff Dean and John Carmack ) But most version fails. Then somehow realized I
18. 18.▲
    by marv1nnnnn 1y ago

    I totally agreed with your critic. To be honest, it's even hard for myself to evaluate. What I do is select several packages that current LLM failed to handle, which are in the sample folder, `crawl4ai`, `google-genai` and `svelte`. An
19. 19.▲
    Show HN: Min.js style compression of tech docs for LLM context(github.com)

    177 points by marv1nnnnn 1y ago|52 comments