Writing a good Claude.md
371 by objcts | 115 comments on Hacker News.
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New best story on Hacker News: Someone at YouTube Needs Glasses: The Prophecy Has Been Fulfilled
Someone at YouTube Needs Glasses: The Prophecy Has Been Fulfilled
423 by jaydenmilne | 317 comments on Hacker News.
Related: Someone at YouTube needs glasses - https://ift.tt/p1RPgVo - April 2025 (694 comments)
423 by jaydenmilne | 317 comments on Hacker News.
Related: Someone at YouTube needs glasses - https://ift.tt/p1RPgVo - April 2025 (694 comments)
New best story on Hacker News: Show HN: I built an interactive HN Simulator
Show HN: I built an interactive HN Simulator
459 by johnsillings | 202 comments on Hacker News.
Hey HN! Just for fun, I built an interactive Hacker News Simulator. You can submit text posts and links, just like the real HN. But on HN Simulator, all of the comments are generated by LLMs + generate instantly. The best way to use it (IMHO) is to submit a text post or a curl-able URL here: https://news.ysimulator.run/submit . You don't need an account to post. When you do that, various prompts will be built from a library of commenter archetypes, moods, and shapes. The AI commenters will actually respond to your text post and/or submitted link. I really wanted it to feel real, and I think the project mostly delivers on that. When I was developing it, I kept getting confused between which tab was the "real" HN and which was the simulator, and accidentally submitted some junk to HN. (Sorry dang and team – I did clean up after myself). The app itself is built with Node + Express + Postgres, and all of the inference runs on Replicate. Speaking of Replicate, they generously loaded me up with some free credits for the inference – so shoutout to the team there. The most technically interesting part of the app is how the comments work. You can read more about it here, as well as explore all of the available archetypes, moods, and shapes that get combined into prompts: https://news.ysimulator.run/comments.html I hope you all have as much fun playing with it as I did making it!
459 by johnsillings | 202 comments on Hacker News.
Hey HN! Just for fun, I built an interactive Hacker News Simulator. You can submit text posts and links, just like the real HN. But on HN Simulator, all of the comments are generated by LLMs + generate instantly. The best way to use it (IMHO) is to submit a text post or a curl-able URL here: https://news.ysimulator.run/submit . You don't need an account to post. When you do that, various prompts will be built from a library of commenter archetypes, moods, and shapes. The AI commenters will actually respond to your text post and/or submitted link. I really wanted it to feel real, and I think the project mostly delivers on that. When I was developing it, I kept getting confused between which tab was the "real" HN and which was the simulator, and accidentally submitted some junk to HN. (Sorry dang and team – I did clean up after myself). The app itself is built with Node + Express + Postgres, and all of the inference runs on Replicate. Speaking of Replicate, they generously loaded me up with some free credits for the inference – so shoutout to the team there. The most technically interesting part of the app is how the comments work. You can read more about it here, as well as explore all of the available archetypes, moods, and shapes that get combined into prompts: https://news.ysimulator.run/comments.html I hope you all have as much fun playing with it as I did making it!
New best story on Hacker News: Show HN: I made a down detector for down detector
Show HN: I made a down detector for down detector
526 by gusowen | 158 comments on Hacker News.
After down detector went down with the rest of the internet during the Cloudflare outage today I decided to build a robust, independent tool which checks if down detector is down. Enjoy!!
526 by gusowen | 158 comments on Hacker News.
After down detector went down with the rest of the internet during the Cloudflare outage today I decided to build a robust, independent tool which checks if down detector is down. Enjoy!!
New best story on Hacker News: Cloudflare outage on November 18, 2025 post mortem
Cloudflare outage on November 18, 2025 post mortem
521 by eastdakota | 326 comments on Hacker News.
Related: Cloudflare Global Network experiencing issues - https://ift.tt/Ix4Ti7z - Nov 2025 (1580 comments)
521 by eastdakota | 326 comments on Hacker News.
Related: Cloudflare Global Network experiencing issues - https://ift.tt/Ix4Ti7z - Nov 2025 (1580 comments)
New best story on Hacker News: The disguised return of EU Chat Control
The disguised return of EU Chat Control
497 by egorfine | 215 comments on Hacker News.
https://ift.tt/e9R0Vby...
497 by egorfine | 215 comments on Hacker News.
https://ift.tt/e9R0Vby...
New best story on Hacker News: Ask HN: What Are You Working On? (Nov 2025)
Ask HN: What Are You Working On? (Nov 2025)
350 by david927 | 1061 comments on Hacker News.
What are you working on? Any new ideas that you're thinking about?
350 by david927 | 1061 comments on Hacker News.
What are you working on? Any new ideas that you're thinking about?
New best story on Hacker News: Show HN: Why write code if the LLM can just do the thing? (web app experiment)
Show HN: Why write code if the LLM can just do the thing? (web app experiment)
365 by samrolken | 260 comments on Hacker News.
I spent a few hours last weekend testing whether AI can replace code by executing directly. Built a contact manager where every HTTP request goes to an LLM with three tools: database (SQLite), webResponse (HTML/JSON/JS), and updateMemory (feedback). No routes, no controllers, no business logic. The AI designs schemas on first request, generates UIs from paths alone, and evolves based on natural language feedback. It works—forms submit, data persists, APIs return JSON—but it's catastrophically slow (30-60s per request), absurdly expensive ($0.05/request), and has zero UI consistency between requests. The capability exists; performance is the problem. When inference gets 10x faster, maybe the question shifts from "how do we generate better code?" to "why generate code at all?"
365 by samrolken | 260 comments on Hacker News.
I spent a few hours last weekend testing whether AI can replace code by executing directly. Built a contact manager where every HTTP request goes to an LLM with three tools: database (SQLite), webResponse (HTML/JSON/JS), and updateMemory (feedback). No routes, no controllers, no business logic. The AI designs schemas on first request, generates UIs from paths alone, and evolves based on natural language feedback. It works—forms submit, data persists, APIs return JSON—but it's catastrophically slow (30-60s per request), absurdly expensive ($0.05/request), and has zero UI consistency between requests. The capability exists; performance is the problem. When inference gets 10x faster, maybe the question shifts from "how do we generate better code?" to "why generate code at all?"
New best story on Hacker News: Ask HN: Who uses open LLMs and coding assistants locally? Share setup and laptop
Ask HN: Who uses open LLMs and coding assistants locally? Share setup and laptop
319 by threeturn | 179 comments on Hacker News.
Dear Hackers, I’m interested in your real-world workflows for using open-source LLMs and open-source coding assistants on your laptop (not just cloud/enterprise SaaS). Specifically: Which model(s) are you running (e.g., Ollama, LM Studio, or others) and which open-source coding assistant/integration (for example, a VS Code plugin) you’re using? What laptop hardware do you have (CPU, GPU/NPU, memory, whether discrete GPU or integrated, OS) and how it performs for your workflow? What kinds of tasks you use it for (code completion, refactoring, debugging, code review) and how reliable it is (what works well / where it falls short). I'm conducting my own investigation, which I will be happy to share as well when over. Thanks! Andrea.
319 by threeturn | 179 comments on Hacker News.
Dear Hackers, I’m interested in your real-world workflows for using open-source LLMs and open-source coding assistants on your laptop (not just cloud/enterprise SaaS). Specifically: Which model(s) are you running (e.g., Ollama, LM Studio, or others) and which open-source coding assistant/integration (for example, a VS Code plugin) you’re using? What laptop hardware do you have (CPU, GPU/NPU, memory, whether discrete GPU or integrated, OS) and how it performs for your workflow? What kinds of tasks you use it for (code completion, refactoring, debugging, code review) and how reliable it is (what works well / where it falls short). I'm conducting my own investigation, which I will be happy to share as well when over. Thanks! Andrea.
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