Fake Hacker News – See what HN has to say before you post

In plain words

Fake Hacker News is a tool that lets users post content and receive AI-generated comments simulating how Hacker News readers might respond. Designed for people anxious about posting on the actual platform, it generates feedback within seconds of submission. The tool currently supports text submissions and replies, giving users a preview of potential community reactions before sharing publicly on Hacker News itself.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

Hi HN! I’ve been lurking for a while, but out of fear of being steamrolled by HN readers or maybe just natural introversion, I’ve always been too scared to post or comment. Which is why 1. this is my first real Hacker News submission 2. my friend Michael and I built "Fake" Hacker News, a place to post and see what…

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  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…

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  My recommendation engine for Hacker News2023 · hn-recommend.julienc.me · ▲314

  Hi! I’m Julien and I built a recommendation engine for Hacker News. I feel like this website is a gold mine. Every day, I find some very interesting stories about a topic. And sometimes, I want to find other stories covering that same topic but I can’t. Hacker News has years of history of awesome discussion and ressources. Unfortunately, I think HN Algolia isn’t helpful in searching these old threads. As a student, I want to learn a lot from this website. This is why I created HN Recommend. Input a sentence or the URL of an article, and get the most popular and similar posts from Hacker…

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