100/reddit-karma-prediction — explained in plain English
Analysis updated 2026-07-17 · repo last pushed 2016-01-09
Submit a draft comment and see a predicted karma bracket before posting it.
Explore an interactive graph of subreddits clustered by similar karma patterns.
Call the rate-limited API from your own bot or app to predict comment performance.
Research what tone and wording tends to earn upvotes across different Reddit communities.
| 100/reddit-karma-prediction | 0-bingwu-0/live-interpreter | 0xkaz/llm-governance-dashboard | |
|---|---|---|---|
| Stars | 2 | 2 | 2 |
| Language | Python | Python | Python |
| Last pushed | 2016-01-09 | — | — |
| Maintenance | Dormant | — | — |
| Setup difficulty | moderate | moderate | hard |
| Complexity | 3/5 | 2/5 | 4/5 |
| Audience | researcher | general | ops devops |
Figures from each repo's GitHub metadata at analysis time.
Requires training or loading the scikit-learn models and running the Flask API locally.
A machine-learning tool that predicts how much karma a Reddit comment will earn and visualizes which subreddits reward which kinds of comments.
Mainly Python. The stack also includes Python, scikit-learn, Flask.
Dormant — no commits in 2+ years (last push 2016-01-09).
Setup difficulty is rated moderate, with roughly 1h+ to a first successful run.
Mainly researcher.
This repo across BitVibe Labs
Verify against the repo before relying on details.