nowfound

Life & fun · alternatives · 2026

MA

This is a Python notebook that maps and analyzes the 10,000 most popular subreddits on Reddit by measuring similarity between communities based on user commenting overlaps. It uses vector algebra to explore… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Mapping and Analysing Subreddits launched in 2017; newer entries below may have overtaken it.

  1. 1

    Visual map of the top 50,000 subreddits by similarity

    2017 · ponderinghydrogen.pythonanywhere.com · its alternatives →

  2. 2AT

    This visualization of related subreddits helps you find related subreddits

    2019 · anvaka.github.io · its alternatives →

  3. 3

    We built Valohai LLM for tracking and comparing LLM evaluation results. Whether your evals live in notebooks and spreadsheets, or you're using an observability tool that wasn't built for comparison, this gives you a purpose-built eval comparison dashboard. Run evals with a Python library (pip install valohai-llm), results stream in, and you can compare up to 6 configurations side by side. Group by any dimension (model, category, difficulty) to see where each model excels. It doesn't do tracing or production observability, for now just eval tracking and comparison. What's cool is that you can…

    2020 · valohai.com · its alternatives →

  4. 4SC
  5. 5

    Summarize long Reddit threads with one click

    Dec 2025 · chromewebstore.google.com · its alternatives →

  6. 6

    Get any reddit users stats in a beautiful UI format

    2017 · atomiks.github.io · its alternatives →

  7. 7

    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 →

  8. 8

    I recently found myself computing the similarity between lots of very high dimensional vectors (i.e., sentence embedding vectors from LLMs), and I wanted to try some more powerful measures of similarity/dependency than just Cosine similarity, which seems to be the default for everything nowadays because of its computational efficiency. There are many other more involved measures that can detect more subtle relationships, but the problem is that some of them are quite slow to compute, especially if you're trying to do it in Python. For my favorite measure of statistical dependency,…

    2023 · github.com · its alternatives →

  9. 9

    Graph of subreddits. Contribute to ghgr/reddit-graph development by creating an account on GitHub.

    2018 · github.com · its alternatives →

  10. 10

    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 →

  11. 11

    Hey HN! I love finding new books to read on here. I wanted to gather the most mentioned books and recreate the serendipity of physical browsing. I scraped 20k comments from HN threads related to reading, extracted the references and opinions using GPT-4o mini, and visualised their embeddings as a map. - OpenAI's embeddings were processed using UMAP and HDBSCAN. A direct 2D projection from the text embeddings didn't yield visually interesting results. Instead, HDBSCAN is first applied on a high-dimensional projection. Those clusters tend to correspond to different genres. The genre…

    2024 · hnbooks.pieterma.es · its alternatives →

  12. 12RG
  13. 13

    This website shows a map of reddit. Each dot is a subreddit. Two dots within the same cluster are usually close to each other if multiple users frequently leave comments on both subreddits

    2021 · anvaka.github.io · its alternatives →

  14. 14

    The data community's workbench

    2018 · its alternatives →

  15. 15SF

    Diese Website steht zum Verkauf! segue.co ist Ihre erste und beste Informationsquelle über segue. Hier finden Sie auch weitere interessante Links. Wir hoffen, dass Sie bei Ihrer Suche erfolgreich sind!

    2022 · segue.co · its alternatives →

  16. 16SC
  17. 17

    Hey HN! I spent way too much time manually searching Reddit for mentions of problems my SaaS solved. I'd search keywords daily, miss conversations by hours, and get buried when I finally showed up. So I built Upvotics to automate the listening part. It monitors subreddits for keywords, tracks mentions as they happen, and surfaces conversations where people are already asking for what you're building. What it does: - Real-time keyword tracking across subreddits - User/subreddit engagement analytics (karma, post frequency, sentiment) - Rule checker (catches common removal triggers before…

    Apr 2026 · upvotics.com · its alternatives →

  18. 18

    Visualize your redis instances, analyze query patterns and spikes. - GitHub - nkrode/RedisLive: Visualize your redis instances, analyze query patterns and spikes.

    2012 · github.com · its alternatives →

  19. 19

    Tracking the top 5000 subreddits

    2015 · its alternatives →

  20. 20

    Semantic analysis of the Reddit hivemind

    2016 · its alternatives →

  21. 21

    Measure sentiment on the popular reddit forum

    2021 · swaggystocks.com · its alternatives →

  22. 22

    All your favorite subreddits categorized and organized.

    2021 · alohe.github.io · its alternatives →

  23. 23

    All-pair set similarity search on millions of sets in Python and on a laptop - GitHub - ekzhu/SetSimilaritySearch: All-pair set similarity search on millions of sets in Python and on a laptop

    2018 · github.com · its alternatives →

  24. 24

    Use AI to analyze any subreddit in 30 seconds.

    2024 · its alternatives →

Also compare

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 →