# AndrewPrifer/jimothy

> A tool for training small local text classifiers from Jev-compatible examples. Runs in the browser or Node.js, with TF-IDF and MiniLM backends.

- Magnitude: 0.6 out of 10 — Steady
- Stars: 74 total · +0 stars today, ≈ 2 by evening
- Star trust: star growth looks organic
- Category: Language models · Language: TypeScript · License: MIT · Created: 2026-09-20 · Last push: 2026-09-21
- GitHub: https://github.com/AndrewPrifer/jimothy · Homepage: https://jimothy-r63s.vercel.app · Page: https://gitnova.dev/en/r/AndrewPrifer/jimothy

## Useful for

- Train a support-ticket classifier from labeled examples and run it locally.
- Deploy a text classification model directly in the browser via WASM or WebGPU.
- Generate labels with a teacher model and train a compact classifier on them.

## Why it’s here

- 0 stars so far today, about 1 expected by the end of the day.
- The repository is 6 days old and already has 74 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #185.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 3
- Issues and pull requests: 3
- Watchers: 0
- Average over the last week: 11 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 0

## Stars per day, last 7 days (oldest → newest, today is partial)

2026-09-20 … 2026-09-26: 0, 27, 41, 2, 2, 2, 0

## Spotted in now

- Top new repositories this week: #185

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-09-26 03:18 UTC, updated every 30 minutes.