Find Similar
Subreddits
Type any community name and see which subs share its audience — displayed as an interactive graph you can explore by clicking any node.
🤔
No results found
Check the spelling or try a larger community that was active around 2018.
Direct neighbors
🔥 Popular starting points
Tap a name to load it in the finder above—handy when you are not sure what to try first.
⚙️ What you are seeing
This experience follows the idea behind Andrei Kashcha’s original sayit visualization (often credited simply as “Anvaka” online): relate communities when the same people tended to comment in both places during a historical sample window.
If readers bounce naturally between r/programming and r/learnprogramming, those subs sit close together—even when titles look unrelated. Curious readers can peek at the legacy sayit code for technical background.
Strength follows Jaccard similarity on overlapping audiences—a straightforward overlap score. Mega-default subs sometimes swap in curated neighbor lists so you see useful corners of Reddit instead of every giant hub at once.
Pick a community
Enter a name without the r/ prefix. Suggestions appear as you type for quick picks.
Watch the map appear
We load one small data file for that letter bucket, then draw a simple spring layout around your center node.
Tap to explore
Sayit-style: click a node for an old.reddit preview and neighbor highlight; double-click to rebuild the graph with that subreddit as the center.
Scan the numbered list
Prefer text? The chips under the canvas mirror the ranked neighbors for quick repeats.
🧭 Why people keep using it
Reddit is enormous. Keyword search only gets you so far when you want “something like this, but smaller” or “the community my crowd moved to.” Audience overlap maps help with exactly that mood.
Discovery
Surface specialty subs that never show up on your home feed.
Research
See which communities cluster for a topic or hobby you follow.
New accounts
Find a small set of welcoming neighbors instead of guessing from search alone.
Learning trails
Hop from beginner help subs toward advanced ones along the same audience trail.
Games & fandom
Genre, platform, and franchise communities line up tightly—fun to browse.
Where did everyone go?
When a community quiets down, neighboring nodes hint at related active spaces.
📚 Credits in plain language
Anvaka is the online name of Andrei Kashcha, known for playful maps and network art—like the sprawling Map of Reddit or the hypnotic city roads drawings. This finder reuses the same kind of public graph data those projects made famous.
Numbers come from companion files such as the sayit-data collection on GitHub. Think of this page as a faster, readable front door—not a Reddit product, and not a live data feed.
Everything here is free to try, works in a normal browser, and never asks you to log in.
❓ Quick questions
Straight answers about overlap scores, freshness, and how to click around.
What does 'similar subreddit' mean here? ▾
Here, similar means two communities share many of the same active commenters—not just a similar topic or title. If lots of people comment in both r/programming and r/learnprogramming, those two communities show up as connected. That is different from Reddit search, which mainly matches keywords.
How is this different from Reddit search? ▾
Reddit search is built to find posts and communities by keywords. This finder highlights relationships between communities based on overlapping audiences. That often surfaces smaller or oddly named communities you would never guess from search alone.
Why do some suggestions feel old? ▾
The similarity lists come from a fixed research snapshot built around Reddit activity in 2018. Reddit has changed a lot since then—new communities appear, old ones fade, and habits shift. Large mainstream subs often still look familiar; niche subs may feel more dated.
Can I find smaller communities with this? ▾
Yes. Start from a big community you already like, open its graph, then click outward into neighbors. Each step stays within audiences that historically overlapped with where you started, which is a practical way to wander into tighter specialty subs.
Is this an official Reddit product? ▾
No. This site is independent and not affiliated with Reddit. It presents public similarity data gathered for visualization projects by Andrei Kashcha (Anvaka), inspired by the original sayit tool.
Where does the similarity data come from? ▾
It comes from analyzing where Reddit users commented during the original study window. Jaccard similarity measures overlap between audiences so strongly overlapping subs rank closer together. Very large defaults sometimes use hand-picked neighbor lists so suggestions stay useful instead of pointing at generic mega-communities.
Browse by category
Hand-picked buckets—Tech, Gaming, News, and more—with links into the finder.
🕸️Similar subs landing page
Another friendly entry point with shortcuts into popular similarity pages.
⚙️How it works
A longer walkthrough of overlap scores, caveats, and what “similar” really means.
❓Full FAQ
Every question we hear often—great if you plan to share the tool.
📚About
What anvaka.org is (and isn’t), plus pointers to related experiments.
🗺️Map of Reddit
Pan/zoom through Reddit’s neighborhoods on Anvaka’s classic giant layout.