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Alternatives

Products that do what Community Detection on Bluesky does

We ran the Leuven community detection algorithm on popular users on Bluesky (where the graph has edges determined by Jaccard similarity of a users' followers). We identified 118 communities and based on the names and descriptions of the top 10-20 users had LLMs generate title and descriptions for them. There are communities like "Feline enthusiasts", "Web Professionals", a bunch of NSFW ones and quite many communities are many different flavors of progressive/liberal activists.

  1. 1

    Visual map of the top 50,000 subreddits by similarity

    2017

  2. 2

    Discover 1500+ great communities across 20+ domains

    2022

  3. 3RT

    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

  4. 4IO

    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

  5. 5SF
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    Twitter analytics, follower segmentation & more

    2014

  7. 7TA
  8. 8SC
  9. 9
    Traity76

    Building the reputation graph of the world

    2014

  10. 10SC
  11. 11IB

    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

  12. 12

    Find out more about the people that follow you on twitter.

    2014

  13. 13IS

    Everything that would be here is in the README. I hope this gets big, it has tons of potential.

    2013 · github.com

  14. 14
    Vennly75

    Compare Twitter social graphs

    2021

  15. 15NA
  16. 16

    Spam detection in the physical world

    2017

  17. 17

    Increase social post interactions within community

    2025

  18. 18AB

    Hey HN! We're building an open-source CMS designed to help creators with every part of the content production pipeline. We're showing our tiny first step: A tool designed to take in a Twitter username and produce an "identity card" based on it. We expect to use an approach similar to [Constitutional AI] with an explicit focus on repeatability, testability, and verification of an "identity card." We think this approach could be used to create finetuning examples for training changes, or serve as inference time insight for LLMs, or most likely a combination of the two. The tooling we're…

    2025 · contentfoundry.com

  19. 19

    See where your brand appears across Reddit, LinkedIn & Slack

    Apr 2026 · communitytracker.ai

  20. 20PA
  21. 21AS

    We built a search engine that shows you the most engaging stories/topics being shared across Twitter, Facebook, Linkedin, and Google+. We crawled over 15 million articles the past 3 months, retrieved the total number of Facebook likes, tweets, Google+’s etc and built a search index around it. Here's what our infrastructure looks like: Rails/Redis: We use the Sidekiq gem as a message queue. We have hundreds of workers that do the crawling, data mining, and number crunching. ElasticSearch: We built the search index using ElasticSearch, with the data imported from our Postgres…

    2013 · buzzsumo.com

  22. 22IB

    Hey HN! I've always been frustrated by having to follow people across 10 different platforms just to catch what they actually say. Lately I've quit following other media entirely and am just hanging out on twitter, but the amount of things I'm missing is vast, I'm sure. Recently I started playing with this new API from Parallel AI that let's you do super deep web research and collect tons of datapoints at once. Today I tried to solve my own problem and built Based People using the Task API. *Features:* - Finds and tracks public appearances – podcasts, conferences, congressional hearings,…

    2025 · basedpeople.com

  23. 23MA

    2017 · lmcinnes.github.io

  24. 24FN

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