Alternatives
Products that do what Alexandria, free open source news aggregation and classification suite does
I've always felt it a bit hard to grasp how far news reach and all. Because I'm also a bit behind on python, I decided to build something from scratch. It's really simple: docker compose, micro services connected to some very basic data pipelines using rabbitMQ, and some local NLP. The NLP portion is a bit slow as it's pure CPU and doesn't leverage GPU/NPE if you have them. The tool offers you to define your own "labels" and "relations", which are then picked up by the local NLP models to assign it to news articles. Standard, there are only a few included. But the goal is to have your…
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2019 · github.com
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2016 · oswatch.net
- 5AS
I've made a Hacker News skill for Alexa so people can get tech news while driving, cooking, or cleaning. The first version lists post titles and summarizes articles: https://www.amazon.com/dp/B07CKVDXC3 I'll have lots of time over the next few months to refine it and add things like - comment summaries - selecting posts by topic, and eventually - answering questions about articles What do you think of the skill? What I should add to it? What do people think about voice assistants in general? To keep in touch, talk to me on Twitter or by email:…
2018
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I got tired of reading clickbait articles and seeing irrelevant ads. So I pulled in a few RSS feeds to create a news digest using OpenAI 4o-mini for summarisation. Appreciate any feedback you'all might have. PS: News-summarisation may have been done to death, but I'm a UI noob, so I'm using this project to learn some.
2025 · newsful.ai
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2016 · dailypy.com
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Hey folks! This is a project that I've been working in my free time for the past few months. It's a news aggregator that uses AI to select relevant articles and summarize them. The default sources are frameworks and libraries' updates, popular HN topics, and languages' subreddits threads that make past a certain threshold. You can run a local instance (needs an OpenAI key) and customize it with your own sources, and adjust the prompt as well. The resulting website can be browsed at https://dev-radar.com/ My next experiment will be with local news. I'm building some feeds with…
2023 · github.com
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One year ago, I downloaded the news.arc code and decided that I would teach myself programming by building a better aggregator. At that time, I had some rudimentary HTML knowledge, and little FORTRAN under my belt. I knew that I wanted an aggregator that could support a wide range of submissions, and one that could scale without losing quality for the user. Hubski is what I have to show for my time and effort. The easiest way to describe Hubski is to say that it uses a commenting system akin to HN or Reddit, but uses a sharing scheme like Twitter. You have a personal feed comprised of the…
2011
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2014 · github.com
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Infini-News is ten years of CC-NEWS (the news subset of Common Crawl), cleaned, enriched and turned into a full-text index so you can count any keyword or phrase across 1.36B articles in sub-second time (ok, now maybe a few seconds, but circumstantial), without downloading anything. It's free and open on Hugging Face. I did it because I was sick of having to manually scrape news websites and the like for research purposes and because it felt interesting personally to tackle a project of this scale. On top of data cleaning, we have run language, country (via TLDs and some other heuristics)…
Jul 2026 · cs2.uni-graz.at
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Hi everyone, Not happy with the current news aggregators and thrilled about ML models for text processing, a colleague and I built an aggregator fully based on Doc2Vec: https://www.quicknews.ai/. We currently poll ~120 news sources every 15 minutes, and construct a personalized news feed for every user. There are plenty of ways in which Doc2Vec is used here: 1) Clustering the articles into topics 2) Deduping overly similar articles when generating the feed 3) Routing notifications about breaking news to interested users 4) Calculating similarity between…
2020
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Still pretty rough ... Emphasizes: 1) Simple, no-frill dashboard for managing posts (files). 2) Lightweight markdown editor 3) Relationships: taxonomy (file tagging) and fast linking (content to other posts) Some of the important key bindings I have are ctrl+c for code, ctrl-L for linking text to other posts. Right now this is baked in but I'd want to allow users to customize it. It's still pretty beta but let me know what ya'll think! Here's the github page if you want to help out: https://github.com/keera/matrix
2014 · ec2-54-83-122-123.compute-1.amazonaws.com
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I built a minimal opensource CMS, I use it myself for my blog and for other SaaS. l love blogging, and sometimes I post random thoughts on my blog. The only thing is, I always did it with .md files, which is fine too However, I was excited about the idea of using a CMS that was very minimal and avoiding the option of connecting something like WordPress or other big platforms. Open source (if you want to fork it or contribute) and free to use (unless I see you have a million views haha). Star the repo if you like it!
Jan 2026 · github.com
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Been feeling a bit left out in this fast paced world of ML/AI, so built my first ML project since college. The idea is to scrape the most recent HN article titles and use TF-IDF and cosine similarity as metrics to rank articles that you're interested in to filter out only relevant things. Hopefully a fun project for beginners to get inspiration to jump into this world.
2023 · github.com
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Hi everyone, I read HN every day, but there was always more great content than I had time to read. I know there are already several HN summarizers on GitHub, and I tried some of them. They just didn't fit the workflow I wanted, so I decided to build my own. My project is a self-hosted app that automatically fetches top stories, summarizes them with AI, translates them into your preferred language, and prepares a personalized daily briefing in a nice customizable UI while you sleep. Maybe I'm not the only one who wanted this kind of workflow. I'd love to hear your thoughts, especially on what…
Jul 2026 · github.com
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2015 · kabonky.com
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Think of HackerNews, but only for AI content. Did build this out of the wish for easier discoverability of new technologies in the AI/ML space. Obviously, so far only a tiny small community, but maybe a few of you find it nice to be around and want to post a link there every now and then :)
2023 · news.aiapipro.com
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Today you can easily adopt AI coding tools because you have git for branching and rolling back if AI writes bad code. We haven't seen this same capability for data and decided to build it ourselves. Nile is a new kind of data lake, purpose built for using with AI. It can act as your data engineer or data analyst creating new tables and rolling back bad changes in seconds. We support real versions for data, schema, and ETL. We'd love your feedback on any part of what we are building - https://getnile.ai/ What do you think?
Jan 2026
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A01 is a news reader where you define your own algorithm in plain English. For example, you can prompt it with: • "I want to follow recent AI startups and their first funding rounds.” • "I want updates on regulation changes and enforcement actions around stablecoins.” Every few hours, the backend fetches new articles, embeds them, and scores each one against your prompt. Only the most relevant pieces show up. No engagement metrics, trending bait, or “you might also like” filler. I built this because I every time I opened up Twitter or LinkedIn to stay informed on something, but always ended…
2025
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Former investigative reporter turned developer. I built a simple breaking-news monitor because tracking events across platforms is a mess now that Twitter’s unreliable. Bluesky is the backbone (a fraction of twitter, but still lots of journalists and OSINT folks), plus RSS, Telegram, Reddit, YouTube and Mastodon. Everything is one chronological feed with no algorithm, clear source labels, and lightweight activity detection when a region spikes above baseline (frequency math, not LLMs). But we do have a (hopefully non-obtrusive) AI-generated recent/post summary. Been building for a…
Feb 2026 · news-alert-eta.vercel.app
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Many people subscribe to email newsletters curated by a human on a specific topic. What if you could create a news brief for any topic, with AI? I'm Chris, and I created Bullet Points, an AI-assistant to help you stay briefed on any topic in the news. You give Bullet Points a topic, and it shows you the top stories related to that topic, with AI-generated summaries and links to the underlying sources to dig further. If you like what you see, you can subscribe to daily or weekly briefs for that topic, delivered to your inbox. Whether you're a professional keeping up with industry news, a…
2023 · bulletpoints.news
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Hi HN! I built a proof of concept 'newspaper' that creates short news articles of today's current events with GPT. This is a very rough proof of concept but I can't help but think this concept is the future. I think we'll all have AI daily newspapers in whatever theme we want, covering any amount of information we want, with the ability to expand or contract article length instantly. Sharing just to get everyone thinking about this future. Thanks for reading!
2023 · thegordonpost.com
- 24IM
Hi HN, I made an AI-digested news platform called Tailored News to help people efficiently consume content in today’s information-overloaded world. Our platform uses AI to curate and summarize the most important stories, providing concise insights and weekly audio briefings. This approach ensures that you stay informed without feeling overwhelmed. Key Features: - AI-Digested Content: We use AI to summarize news, highlight key points, and generate an audio version - Full Context in a Nutshell: I created the Minimum Context Understanding (MCU) concept to provide brief context summaries for…
2024 · tailored.news
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