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AI · September 7, 2023

HA

HackYourNews – AI summaries of the top HN stories

Hey there HN! I wanted to share a pet project of mine. I built HackYourNews [1] to scratch a personal itch: Knowing which stories to focus on while browsing aimlessly (though there is a certain joy in that, as well!) HackYourNews uses OpenAI's gpt-3.5-turbo to summarize the destination article as well as the comments section. Summarization of the article is always cached, while summaries of the comments are regenerated if the comments count is >10% (or >10 comments) different. While I styled the homepage to welcome HNers, my preferred view is the Mobile view, accessed from the navbar. This…

In plain words

HackYourNews uses AI to summarize top Hacker News stories and their comment sections, helping readers quickly identify which posts merit attention. The tool leverages GPT-3.5-turbo to generate summaries of both articles and discussions, caching article summaries while refreshing comment summaries when discussion activity changes significantly. It offers both a desktop and streamlined mobile interface designed for easy browsing across devices.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

Hey there HN! I wanted to share a pet project of mine. I built HackYourNews [1] to scratch a personal itch: Knowing which stories to focus on while browsing aimlessly (though there is a certain joy in that, as well!) HackYourNews uses OpenAI's gpt-3.5-turbo to summarize the destination article as well as the comments section. Summarization of the article is always cached, while summaries of the comments are regenerated if the comments count is >10% (or >10 comments) different. While I styled the homepage to welcome HNers, my preferred view is the Mobile view, accessed from the navbar. This no-frills view honors OS-level dark mode and is easy to skim on any device. Tried to keep the site minimal. The only JS is Cloudflare's privacy-preserving analytics [2], just to gauge interest. This is the first time I'm releasing something to the wild. Hope you find this useful! The frontend is pure HTML+CSS. The backend is NodeJS (Puppeteer) + Python with the excellent Microsoft Guidance [3] library to interface to OpenAI's API. [1] https://hackyournews.com/ [2] https://www.cloudflare.com/web-analytics/ [3] https://github.com/guidance-ai/guidance

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