Alternatives
Products that do what Trending Topics on Bluesky via Semantic Clustering does
We're ingesting the Bluesky firehose (firehose3d.theo.io) with custom models to cluster what people are talking about into trending topics. This all runs on one GPU. You can also see a breakdown of discussion volume by topic at dazzle.fm/stats.
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I’ve curated and organized Bluesky feeds into 50+ categories, now with growth rankings for the past day and week! Check it out and share your thoughts!
2025 · bskyinfo.com
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I’ve been messing around with Bluesky for a while, and one thing I really missed was a proper way to browse discussions in a structured, Reddit-like way specially myself being daily reddit user. So, I ended up building a Reddit-like client for Bluesky that scratches that itch: Threadsky.app It pulls in trending topics, lets you explore conversations with a threaded view (so no more getting lost in replies), and even allows users to create channels with customizations, basically, like subreddits but on Bluesky. That said, this is still pretty barebones, and there’s a lot to improve. I really…
2025 · threadsky.app
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2024 · app.airtrain.ai
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Jun 2026 · hackernewstrends.com
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2019 · meetglimpse.com
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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/
Nov 2025 · yandori.io
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Hi HN, I spent a few weeks looking at the top HN posts of all time. This included exploration, clustering, creating visualizations, and zooming in on what (to me personally) seems like some of the best discussions on here. Three things in this post: 1- The interesting groups of HN posts 2- The interactive visualizations that you can explore in your browser 3- The data from this exploration -- this includes CSV of the titles as well as the text embeddings of 3,000 Ask HN articles. Blog post about this whole process here: [1] ============ 1- The interesting groups of HN posts From the…
2022
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I built this tool to help me find interesting discussions on Hacker News. I love reading HN discussions almost more than the articles themselves. However, I found that full text search, although highly performant, is not always good at surfacing interesting discussions on a certain topic -- especially if you don't know what to search for exactly. I built this by scraping the most recent ~6 million posts (that's about 2 years of history) and putting the resulting posts and their vector embeddings into Postgres. Let me know what could be improved, and if you'd like a more detailed writeup of…
2024 · searchhacker.news
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Find accounts, track growth, sort followers & schedule posts
2025
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I was curious about the most discussed topics on HN over time, so I started analyzing and categorizing all front-page posts with a simple LLM workflow. The result is an interactive chart that displays the trending topics across different time frames. Although the analysis is still relatively basic, I think it provides an interesting perspective on our community. It will be cool to observe changes over a longer time horizon, such as the rise and fall of topics like web3 and AI.
2024 · kadoa.com
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Ranked by how close each launch is in meaning, then by votes. Refine with a description →