Alternatives
Products that do what LLM-powered News Hub, e.g "Games, science or open source" on HN does
We created LightFeed to transform any websites into lightweight and focused news feed. Use LLM to sort and summarize posts using user's custom prompt. For example, you can get anything related to "Games, science or open source" on HN. The news feed is automated daily and you can receive it in browser, email or RSS. We will also open source the LLM web parser/sort library soon o (https://github.com/lightfeed/lightfeed). It reads HTML, turns main content into markdown, uses LLM to parse it into structured feed in JSON, then sort with embedding on user query. It is…
- 1BY
Hi Hacker News, I developed an open source browser extension for summarizing Hacker News articles with OpenAI and Anthropic LLMs. It currently supports Chrome [1] and Firefox [2] (desktop). The extension adds the summarize buttons to the HN front page and article pages. It is bring-your-own-key, i.e. there's no back end behind it and the usage is free, you insert your API key and pay only for tokens to your LLM provider. [1] https://chromewebstore.google.com/detail/hacker-news-tldr/oo... [2]…
2024 · github.com
- 2IW
Hey HN, I made Browser-Use, an open-source tool that lets (all Langchain supported) LLMs execute tasks directly in the browser just with function calling. It allows you to build agents that interact with web elements using natural language prompts. We created a layer that simplifies website interaction for LLMs by extracting xPaths and interactive elements like buttons and input fields (and other fancy things). This enables you to design custom web automation and scraping functions without manual inspection through DevTools. Hasn't this been done a lot of times? Good question, as a general…
2024 · github.com
- 3IB
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…
Nov 2025 · news.ysimulator.run
- 4KG
Hi HN! My latest side project is knowledge graph that maps the French culinary network using data extracted from restaurant reviews from LeFooding.com. The project uses LLMs to extract structured information from unstructured text. Some technical aspects you may be interested in: - Used structured generation to reliably parse unstructured text into a consistent schema - Tested multiple models (Mistral-7B-v0.3, Llama3.2-3B, gpt4o-mini) for information extraction - Created an interactive visualization using gephi-lite and Retina (WebGL) - Built (with Claude) a simple Flask web app to clean and…
2025 · theophilecantelob.re
- 5HH
TLDR: Build a quick HN profile to see how little context LLMs need to personalise your feed. Rate 30 posts once, get a permanent ranked homepage you can return to. Our goal was to build a tool that allowed us to test a range of "personal contexts" on a very focused everyday use case for us, reading HN! We are exploring use of personal context with LLMs, specifically what kind of data, how much, and with how much additional effort on the user’s part was needed to get decent results. The test tool was a bit of fun on its own so we re-skinned it and decided to post it here. First time posting…
2025 · hackernews.coffee
- 6OS
Hi everyone, we’re a small team, supported by Mozilla, who are working on re-imagining a UI for training, tuning and testing local LLMs. Everything is open source. If you’ve been training your own LLMs or have always wanted to, we’d love for you to play with the tool and give feedback on what the future development experience for LLM engineering could look like.
2025 · github.com
- 7LS
2024 · github.com
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- 10FA
I was overwhelmed by the pace of AI news and papers coming out, so I built an automated HN news monitoring service that delivers relvant news straight to my inbox or RSS feed. It uses LLMs to extract, summarize, and classify the front page articles and analyzes the different perspectives in the comments. No more FOMO :)
2024 · kadoa.com
- 11WI
Hi HN, I made Ethos, an open-source tool to visualize the discourse on Hacker News. It extracts entities, tracks sentiment, and groups discussions by concept. Check it out: https://ethos.devrupt.io This was a "budget build" experiment. I managed to ship it for under $1 in infra costs. Originally I was using `qwen3-8b` for the LLM and `qwen3-embedding-8b` for the embedding, but I ran into some capacity issues with that model and decided to use `llama-3.1-8b-instruct` to stay within a similar budget while having higher throughput. What LLM or embedding would you have used within the…
Feb 2026 · ethos.devrupt.io
- 12TA
I got fed up with the news reader apps out there so I decided to make my own. Its a simple concept where it tracks all your favorite news sources for new posts and the social shares it received. Then it ranks it HN/Reddit style using social shares as upvotes. It's not meant to be alternative to HN, just a focused way to track your favorite sources. Please try it out and let me know what do you think, http://telescope.surf/ Note: you can do 'Add to Homescreen' on mobile to make it as an app. Please leave a feedback or any feature wishlist you may have. Thanks!
2017
- 13RL
We've been building data pipelines that scrape websites and extract structured data for a while now. If you've done this, you know the drill: you write CSS selectors, the site changes its layout, everything breaks at 2am, and you spend your morning rewriting parsers. LLMs seemed like the obvious fix — just throw the HTML at GPT and ask for JSON. Except in practice, it's more painful than that: - Raw HTML is full of nav bars, footers, and tracking junk that eats your token budget. A typical product page is 80% noise. - LLMs return malformed JSON more often than you'd expect, especially with…
Mar 2026 · github.com
- 14SL
This is a small plugin I made for Simon Willison's llm utility. You can do things like: cat names.txt | llm sort -q "Which one of these names is best for a pet seagull?" cat books.txt | llm sort -q "Which book is more related to basic vs. advanced CS topics?" I see a lot of potential marrying LLMs with classic UNIX interfaces.
2025 · github.com
- 15AL
Lately I've felt exhausted due to the deluge of AI/GPT posts on hacker news, and have seen similar grumblings. I threw together this frontend that filters out anything with the phrases AI, LLM, GPT, or LLaMa for use until the hype dies down a bit. Before anyone asks, yes I did try to use ChatGPT to help, and while the code it provided was helpful, it needed some heavy bug-fixing. Edit: One other note I forgot to mention. The favicon is generated by Stable Diffusion, I asked it to generate an "Aritificial Intelligence Favicon", and then I added the red circle with line through it.
2023 · save-buffer.github.io
- 16AN
Hey HN! I'm excited to share a tool I've been working on - a native Hacker News reader built with Rust and egui. Here's a screenshot: https://github.com/haojiang99/hacker_news_reader/blob/main/s.... As a daily HN reader, I've always struggled with keeping track of interesting posts I want to read later. Browser tabs pile up, bookmarks get forgotten, and I lose track of what I've already read. I needed a way to: 1. Browse HN efficiently (across all sections - hot, new, show, ask, jobs, best) 2. Quickly mark posts as "todo" for later reading 3. Mark posts as…
2025 · github.com
- 17LA
G'day, HN! I'm one of the maintainers of `llm`. I've been working alongside a trusty group of contributors to bring this project to life, and we're now at a point where we're ready to share it with the world. Large language models (LLMs) are taking the computing world by storm due to their emergent abilities that allow them to perform a wide variety of tasks, including translation, summarization, code generation, and even some degree of reasoning. However, the ecosystem around LLMs is still in its infancy, and it can be difficult to get started with these models. `llm` is a one-stop shop for…
2023 · github.com
- 18LB
I built this browser extension to solve a daily frustration: copying documentation from websites to feed into AI coding assistants like Cursor, Windsurf, or ChatGPT, only to get a mess of ads, popups, and navigation junk mixed in with the actual content. LLMFeeder uses Mozilla's Readability.js (same tech as Firefox Reader Mode) to extract just the main article content, converts it to clean markdown with Turndown.js, and copies it to your clipboard with a single keyboard shortcut (Alt+Shift+M or ⌥ ⇧ M). No clicking through popups, no selecting around ads, no fighting with modern web clutter.…
2025 · github.com
- 19CE
Hello! I built this to solve a personal problem of where I didn't want to wade down large chains of HackerNews comment threads in order to get the key takeaways from the discussions. I built this Chrome extension, which supports both OpenAI and Ollama(local LLMs) to summarize comments and display the summary within Chrome's sidepanel. It's open source as you can see from the link, feedback appreciated!
2024 · github.com
- 20AT
I recently built a small open-source tool to benchmark different LLM API endpoints — including OpenAI, Claude, and self-hosted models (like llama.cpp). It runs a configurable number of test requests and reports two key metrics: • First-token latency (ms): How long it takes for the first token to appear • Output speed (tokens/sec): Overall output fluency Demo: https://llmapitest.com/ Code: https://github.com/qjr87/llm-api-test The goal is to provide a simple, visual, and reproducible way to evaluate performance across different LLM providers, including…
2025 · llmapitest.com
- 21IU
Hello! I used an LLM to extract structured data from each comment on the “Ask HN: Who is Hiring? (January 2024)” post, available at: https://news.ycombinator.com/item?id=38842977. This created a dataset of 400+ jobs with data such as title, company name, location, is job remote, salary data, and the URL/email to contact. For the UI, a NextJS static site was created to filter and view the structured data.
2024 · hnjobsai.vercel.app
- 22LA
Oct 2025 · hn-wrapped.kadoa.com
- 23AP
Hi HN, I've been a daily user here for almost 15 years. Over that time, my interests have shifted. I find I'm now more interested in deep-dive technical posts and personal blogs than the big tech announcements that often dominate the front page. The "top" feed was starting to feel stale, and I was spending more time digging through "new". So, I decided to build what I wanted: a personalized "For You" feed. Link: https://hn.shaped.ai It's a simple concept: you log in with your normal HN credentials, and as you favorite stories, it learns what you're interested in and re-ranks the…
Sep 2025 · hn.shaped.ai
- 24IM
Live demo here: http://fonctionlabs.com:8000 Similarly to aka_sh (guess we were working parallelly on similar topics), I created with my brother a chainlit-based webapp, which summarizes Youtube videos in order to gain time. It works as an RAG-based LLM, and is very light in the sense that it does not use RAG libraries like langchain or llamaindex. You can use it with your own OpenAI API key. It also supports local models like Mistral, or Llamma. It is ofc open-source, and you can deploy with Docker if you choose. Some of the next steps are: - using whisper to be able to compute a…
2024 · github.com
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