
AFTrend
AI-powered Afghan news aggregation platform
What it does
AFTrend is a news aggregation platform that collects headlines from multiple Afghan and international sources and brings them into one place. The platform automatically organizes news by topic and language, and uses AI to translate and summarize content in English. AFTrend is designed to help journalists, researchers, NGOs, and anyone interested in Afghanistan quickly understand what is happening without searching across dozens of websites and social media channels.
Does the same job
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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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Hey HN! I’m Shaun, and I started the Narratives Project (https://www.narrativesproject.com/), a non-profit that presents divisive news events as contrasting narratives to show why people disagree. Our goal is to lower people’s distress about the news and animosity towards those they disagree with. Our current news media system incites instead of informs. On-the-ground reporting has been replaced by armchair journalism, most people are locked in viewpoint silos that are occasionally penetrated by the worst of the other side, and the entire system is in an escalating panic about…

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