# anvaka/sayit

Visualization of related subreddits

Repository: https://github.com/anvaka/sayit
Canonical: https://ross.abutalabs.com/products/sayit
Homepage: https://anvaka.github.io/sayit
Language: JavaScript
License: MIT
License Family: permissive
Last push: 2026-04-11T06:30:52+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 76, release rhythm 35, longevity 100
- inputs: {"age_days": 2820, "days_push": 144, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1433, forks 126 (observed 2026-08-28T04:04:43.264555+00:00)

## What it is
An interactive web application that visualizes graphs of related subreddits based on user commenting overlap. It computes Jaccard similarity between subreddits from Reddit comment data and presents the results as an explorable network graph.

## Use cases
- find subreddits similar to one I like
- explore the network of related subreddits visually
- discover new communities based on subreddit overlap
- visualize reddit community relationships as a graph
- research how subreddits are connected through shared users

## When to choose
- you want an interactive, ready-to-use visualization of subreddit relationships
- you need to explore community similarity without running your own analysis
- you want a lightweight browser-based graph explorer

## When to avoid
- you need up-to-date data - the underlying dataset is from 2018
- you need a reusable library or API rather than a fixed web app
- you need rigorous similarity metrics for very popular subreddits, which use manual overrides

## Facets
- artifact type: application
- maturity: maintenance
- function: data-visualization, search-engine
- domain: data-visualization, social-media, analytics
- platform: browser
- tags: reddit, graph-visualization, vue, jaccard-similarity, interactive, web, javascript

## Member repositories
- anvaka/sayit (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:43.264555+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:36:57.145861+00:00, confidence not recorded.
  - readme: https://github.com/anvaka/sayit (fetched 2026-08-28T04:04:43.264555+00:00, sha a2019ad3f48a)
  - homepage: https://anvaka.github.io/sayit (fetched 2026-08-29T11:48:22.272012+00:00, sha 65bde1791a08)
- Data as of 2026-08-30T08:39:29.467469+00:00.