[HN Gopher] Show HN: HN Companion - web app that enhances the ex...
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       Show HN: HN Companion - web app that enhances the experience of
       reading HN
        
       HN is all about the rich discussions. We wanted to take the HN
       experience one step further - to bring the familiar keyboard-first
       navigation, find interesting viewpoints in the threads and get a
       gist of long threads so that we can decide which rabbit holes to
       explore. So we built HN Companion a year ago, and have been
       refining it ever since.  Try it: https://app.hncompanion.com or
       available as an extension for Firefox / Chrome: [0].  Most AI
       summarization strips the voices from conversations by flattening
       threads into a wall of text. This kills the joy of reading HN
       discussions. Instead, HN Companion works differently - it
       understands the thread hierarchy, the voting patterns and
       contrasting viewpoints - everything that makes HN interesting.
       Think of it like clustering related discussions across multiple
       hierarchies into a group and surfacing the comments that represent
       each cluster. It keeps the verbatim text with backlinks so that you
       never lose context and can continue the conversation from that
       point. Here is how the summarization works under the hood [1].  We
       first built this as an open source browser extension. But soon we
       learned that people hesitate to install it. So we built the same
       experience as a web app with all the features. This helped people
       see how it works, and use it on mobile too (in the browser or as
       PWA). This is now a playground to try new features before taking
       them to the browser extension.  We did a Show HN a year ago [2] and
       we have added these features based on user feedback:  * cached
       summaries - summaries are generated and cached on our servers. This
       improved the speed significantly. You still have the option to use
       your own API key or use local models through Ollama.  * our system
       prompt is available in the Settings page of the extension. You can
       customize it as you wish.  * sort the posts in the feed pages
       (/home, /show etc.) based on points, comments, time or the default
       sorting order.  * We tried fine tuning an open weights model to
       summarize, but learned that with a good system prompt and user
       prompt, the frontier models deliver results of similar quality. So
       we didn't use the fine-tuned model, but you can run them locally.
       The browser extension does not track any usage or analytics. The
       code is open source[3].  We want to continue to improve HN
       Companion, specifically add features like following an author,
       notes about an author, draft posts etc.  See it in action for a
       post here https://app.hncompanion.com/item?id=46937696  We would
       love to get your feedback on what would make this more useful for
       your HN reading.  [0] https://hncompanion.com/#download  [1]
       https://hncompanion.com/how-it-works  [2]
       https://news.ycombinator.com/item?id=42532374  [3]
       https://github.com/hncompanion/browser-extension
        
       Author : georgeck
       Score  : 18 points
       Date   : 2026-02-10 17:01 UTC (6 hours ago)
        
 (HTM) web link (hncompanion.com)
 (TXT) w3m dump (hncompanion.com)
        
       | rayshan wrote:
       | This is one Chrome Extension I can't live without.
       | 
       | I've been using this ever since Manifest v3 killed Hacker News
       | Extension Suite (HNES). HN comment threads are getting longer
       | over time. Top links often have 1k+ comments now. The AI summary
       | saves me a ton of time. I also use the extension with the new
       | sorting function, sorting frontpage links by points, so I can
       | focus on what's important.
        
         | georgeck wrote:
         | Thanks a lot, Rayshan!
         | 
         | Your feedback through GitHub issues has been instrumental in
         | helping us prioritize specific features. Additionally, the
         | Chrome Web Store team has approved our extension for their
         | 'Featured' badge, which could enhance the trust in installing
         | the extension. I'm curious to know if you've had a chance to
         | try the web app.
        
       | annjose wrote:
       | Co-author here. Forgot to share the link to the fine-tuned model
       | [0].
       | 
       | [0] https://huggingface.co/georgeck/models
        
       | Muhammad523 wrote:
       | The only thing that's rolling in my head right now is: WHY Why
       | would anyone want an AI-generated summary of an online
       | discussion??
        
         | georgeck wrote:
         | When people hear about AI summaries, this is what comes to
         | mind. And I understand their concern. Wouldn't a summary strip
         | away the essence of a conversation? Let me explain with an
         | analogy. When we're overwhelmed with information, we benefit
         | from a system that organizes it. For instance, I might use a
         | tool to declutter my desktop files and categorize them into
         | logical groups. Once the categorization is complete, I can view
         | these clusters and focus on the specific files within those
         | clusters that pique my interest. However, if the summarization
         | process also alters the files, I wouldn't want to use that
         | tool.
         | 
         | In the context of HN Companion, our objective is to examine
         | lengthy threads and group them into 3 to 4 topics. Within each
         | topic, we present the actual discussion that represents that
         | cluster. We invested significant effort in developing a system
         | that enables you to not only read the actual comments but also
         | seamlessly jump to that discussion and continue the
         | conversation there.
         | 
         | I encourage you to explore a few of the summaries in the app.
         | I'd greatly appreciate your feedback on how we can enhance our
         | service.
        
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       (page generated 2026-02-10 23:02 UTC)