Life & fun · alternatives · 2026
24 alternatives to Trending Topics on Bluesky via Semantic Clustering
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.
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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Exploding Topics▲949Find proven topics before they take off.
2019 · explodingtopics.com · its alternatives →
- 2
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 · its alternatives →
- 3IB
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 · its alternatives →
- 4SC
2024 · app.airtrain.ai · its alternatives →
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Accessible end-to-end deep dive of crawling, embedding, projecting, and semantic searching all of Hacker News for my Hackerverse project.
2024 · blog.wilsonl.in · its alternatives →
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Build a better content strategy with topic clustering
2023 · nozzle.io · its alternatives →
- 9UF
2021 · trungdq88.github.io · its alternatives →
- 10
Stay ahead of the trends. We track every topic across the internet to identify fast-growing and under-the-radar trends.
2019 · meetglimpse.com · its alternatives →
- 11
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 · its alternatives →
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Discover trends and viral content on Bluesky Social
2024 · trendspotter.blue · its alternatives →
- 15
TL;DR▲199I love Hacker News but I rarely have time to read full articles / comments, so I built a simple site to summarize the top posts & comments to make it easier to get a big picture. A few implementation details: - It pulls the top stories from the HN Firebase API (`/v0/topstories`) - Filters stories with >200 points - Uses Claude Sonnet for post + comment summaries - Tries to capture the sentiment of the comments (still working on improving this) - Refreshes both posts + summaries hourly It has already helped me I hope it helps you! Please let me know if you have any feedback --…
2025 · tl-dr.tv · its alternatives →
- 16
Beautifully visualize real-time search trends
2014 · trends.google.com · its alternatives →
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- 19AT
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 · its alternatives →
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Google Trends for analyzing news articles
2020 · muckrack.com · its alternatives →
- 21SH
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 · its alternatives →
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Find accounts, track growth, sort followers & schedule posts
2025 · fedica.com · its alternatives →
Also compare
- Exploding Topics alternatives
- I organized Bluesky feeds by categories and growth rankings alternatives
- I Built a Reddit-style Bluesky client – still rough, but open to ideas alternatives
- Semantic clusters and embeddings for 500k Hacker News comments alternatives
- Bluesky alternatives
- Exploring HN by mapping and analyzing 40M posts and comments for fun alternatives
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →