Alternative HN Front End
Hey folks, http://dstill.ai/hackernews is alternative frontend for Hacker News, with some features on top: (1) AI powered summarizations. Summaries are generated for the link, for the post and for the discussion. Summaries are automatically generated for selected top stories, but you can also generate them on demand — currently this requires supplying your own OpenAI api key (which gets stored in your browser in localStorage). When you generate a summary, everyone else can see it and benefits from it as well. Here are some examples: Summary of a long discussion:…
In plain words
Alternative HN Front End is an alternative interface to Hacker News that adds AI-powered summarization capabilities. It generates summaries of linked articles, original posts, and discussion threads automatically for top stories, or on demand using a user-supplied OpenAI API key. Summaries are shared across users, so once generated, others can view them immediately. The tool is designed for Hacker News readers who want quick summaries of lengthy articles and discussions.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hey folks, http://dstill.ai/hackernews is alternative frontend for Hacker News, with some features on top: (1) AI powered summarizations. Summaries are generated for the link, for the post and for the discussion. Summaries are automatically generated for selected top stories, but you can also generate them on demand — currently this requires supplying your own OpenAI api key (which gets stored in your browser in localStorage). When you generate a summary, everyone else can see it and benefits from it as well. Here are some examples: Summary of a long discussion: https://dstill.ai/hackernews/item/36580192 Summary of a subthread: https://dstill.ai/hackernews/item/36582568 Summary of a PDF: https://dstill.ai/hackernews/item/36543284 Business insider: https://dstill.ai/hackernews/item/36706138 Wall Street Journal: https://dstill.ai/hackernews/item/36571407 New York Times: https://dstill.ai/hackernews/item/36653874 Reuters: https://dstill.ai/hackernews/item/36753032 It’s surprisingly not easy to get LLMs to produce summaries that aren’t vague, and I am not satisfied with the current quality just yet. E.g. the summaries might contain “the benefits of X are also discussed”, instead of “the benefits of X are A, B, C”. (2) You can view top / best / most active stories from previous days. I use “Top Yesterday” (https://dstill.ai/hackernews/list/top/yesterday) as my bookmark, this way I avoid the habit of refreshing the front page (expecting new stories to pop up), and refreshing each story (waiting for new comments to pop up :)). (3) You can highlight usernames and save notes about users. This way you can make sure you don’t miss posts and comments from people that you care about, and you can save notes for future reference also, like “This is the CEO of Cloudflare”, etc. (4) You can mute users. Posts from muted users will be hidden, and their comments will be collapsed by default — actually, I would love feedback on this part, as I am not sure that collapsing the comments is the best approach (better alternative might be hiding the comment’s content and author name). (5) Formatting for blockquotes and for code snippets. ## Why did I build this? I am using Hacker News as one of the more important data sources for my upcoming project (that I hope to show off soon). This requires me to keep a near real-time mirror of the HN database. Given how much I use and benefit from Hacker News as a user and as a resource for my project, I thought this would be a nice way to give something back. As a HN user, the above features were added in order to make my use of HN more effective, and I am eager to hear your feedback and feature requests :)
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com
Launched alongside, July 2023
the whole month →
- WL
Hey everyone, I here is a small open-source project I've been working on lately. I'd love to hear your thoughts and improvement ideas :) GitHub: [github.com/Vincenius/workout-lol](https://github.com/Vincenius/workout-lol)
Dev tools · 2023 · workout.lol
- HN
I saw this [0] pretty cool thread by user revskill, and wanted a quicker way to search through it, but also to keep them all in one place so I can read them at my leisure whenever I get time. Right now is like 60 lines of Ruby using Nokogiri, but I will certainly look into it further down the line and improve the list. There's a cronjob checking the thread every 12 hours but I will eventually shut that down and it will become static after that. There are some really awesome blogs in there. I really recommend going through the list, it made my day. [0] "Could you share your personal blog…
Life & fun · 2023 · dm.hn
A safe space for your thoughts, private, local, p2p & open
Commerce · 2023 · anytype.io
