Hi HN!<p>For a long time, I'd been looking for a news reader that could filter out noise and surface only stories that really interest me. I couldn’t find one, so I built it myself. That's the way, right? :-D<p>In my case (over 1000 news/day), it filters out over 80% of news (those that are irrelevant for me), saving me a corresponding amount of time.<p>Here’s how it works:<p>- For each news entry, the reader automatically assigns multiple tags.<p>- You can create scoring rules like `books + sci-fi -> +5 score`, `politics + new-york -> -10 score`.<p>- News entries are sorted by score, putting the most relevant content on top.<p>The reader is open-source, self-hosted, and can work without proprietary LLM APIs. You can replace the APIs entry points with your self-hosted OpenAI-compatible API, or fully disable them, or implement custom non-LLM tag processors.<p>I'd love your feedback, questions, or suggestions!<p>Follow development here:<p>- GitHub: <a href="https://github.com/Tiendil/feeds.fun">https://github.com/Tiendil/feeds.fun</a><p>- Reddit: <a href="https://www.reddit.com/r/feedsfun/" rel="nofollow">https://www.reddit.com/r/feedsfun/</a><p>- Discord: <a href="https://discord.gg/C5RVusHQXy" rel="nofollow">https://discord.gg/C5RVusHQXy</a><p>- Blog: <a href="https://blog.feeds.fun/" rel="nofollow">https://blog.feeds.fun/</a>