Subreddit Finder - Trained on 4M Reddit Posts from 4K Subreddits
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…
Subreddit Finder - Trained on 4M Reddit Posts from 4K Subreddits launched on April 9, 2020 with 152 votes, #244 of 5,003 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 6 years on.
In plain words
Subreddit Finder is a tool trained on 4 million Reddit posts from 4,000 subreddits that helps users discover relevant communities. It uses machine learning to match users with appropriate subreddits based on their interests or topics. The tool is designed for Reddit users looking to find niche communities or explore new subreddits related to their hobbies, professions, or passions.
written from the facts on this page · September 2026
From the sources
Run twice as many machine learning experiments with half the cost.
Write your Reddit post here and let machine learning suggest suitable subreddits.
You want to post something on Reddit, but you don't know on which subreddit? Wonder no more. Write your Reddit post here and let machine learning suggest suitable subreddits. This subreddit finder is powered by the Valohai machine learning platform . The machine learning model behind the subreddit finder is called a multilabel text classificator, and it is trained with 4 million posts scraped from the 4 thousand most popular subreddits. The model is trained using fastText , an open source library from Facebook. To read a technical description about how we trained the model and how the results are delivered to you, see this article . There are multiple ways to build on this project, e.g.…from valohai.com
In the maker’s words, at launch
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)…
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Linkeddit2025 · linkeddit.com · ▲618The tool actually hit Product Hunt #1 back in February. Since then I’ve added a bunch more on top of the original version. Now you just describe the intent or goal for the leads you want, and it searches based on keywords and a bunch of other signals to surface the best ones for you. I also added a Reddit-powered content writer. Basically, you pick a topic or category, and it pulls the top posts from Reddit, analyzes what made them go viral, and helps you write content using the same patterns. Reddit is super underrated for content. If something blows up there, it almost always spreads to…
- SFSubreddit Finder – find subreddits based on a topic2022 · segue.co · ▲83
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!
ScriptmineFeb 2026 · scriptmine.ai · ▲86I built this for myself. I make videos, and my biggest bottleneck is figuring out what to say to my audience without staring at a blank page. So I built Scriptmine: a tool that listens to Reddit conversations in my niche, finds high-signal topics, and turns them into scripts. How it works: - Track subreddits and discussions relevant to a niche - Rank topics by engagement/momentum - Generate a hook/body/CTA draft in a chosen voice/format
- MAMapping and Analysing Subreddits2017 · lmcinnes.github.io · ▲21
Problem Spotter2025 · problemspotter.co · ▲8After nearly a year of development, I've launched Problem Spotter - a tool that helps you discover relevant Reddit communities and track their growth patterns. Key features: - Search across subreddits by topic/keyword - Monthly subscriber growth tracking and trends - Audience overlap analysis Built this because I was manually hunting through Reddit for market research and community validation. The existing tools either didn't have good search or lacked growth data. Would love feedback from the HN community - especially if you use Reddit for research or community building. Link:…
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