Alternatives
Products that do what Real-time system that tracks how news spreads across 200k websites does
I built a system that monitors ~200,000 news RSS feeds in near real-time and clusters related articles to show how stories spread across the web. It uses Snowflake’s Arctic model for embeddings and HNSW for fast similarity search. Each “story cluster” shows who published first, how fast it propagated, and how the narrative evolved as more outlets picked it up. Would love feedback on the architecture, scaling approach, and any ways to make the clusters more accurate or useful. Live demo: https://yandori.io/news-flow/
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2020 · tidalwaves.io
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Did you want to know topics of the news or popularity of posts? "Hacker News Hack" helps you to find news based on some categories and importance or popularity. It tagged news with 9 categories with a natural language processing technology and supervised learning for categorizing news. It also calculates a speed of number of comments in each posts as popularity based on term, that is 1 hour, 1 day, 1 week, 1 month, or 1 year.
2014 · newshack.io
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2020 · nanonews.app
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2019 · github.com
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2021 · cloudnews.dev
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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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2013 · geekuillaume.github.io
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2013 · parserss.com
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There's lots of improvements I'd like to make but thought I should get some feedback first to see if anyone's interested in it. The main page just shows the most recent feed items (currently from only the 3 feeds I've added myself), but the idea is that it'll show the most popular items aggregated from all users. It also provides TLDR summaries for each item, based on word frequency. http://bayfig.com EDIT: Typo
2010
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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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2017 · diethn.gq
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We’ve launched NewsCatcher’s Hyperlocal News API to provide city-level news feeds for market analysis, localized apps, and data analytics. Why We Built It: Aggregating hyperlocal news is complex. Local news comes from diverse sources, many covering national topics, making it hard to isolate local events like transit updates, crime, extreme weather alerts, or infrastructure projects. Searching by location alone can lead to irrelevant results, especially with city names that overlap or match common words (e.g., Orange, Lake). What It Does: Our API provides precise, location-based news by…
2024
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2016 · github.com
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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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Oct 2025 · github.com
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2014 · defcomb.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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2019 · feedsearch.dev
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2014 · 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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