# nichochar/ari

> A local AI tutor app: a camera over your page lets the AI see your handwriting, build a curriculum, answer questions and grade your work. Runs on your machine using a ChatGPT/Codex subscription.

- Magnitude: 4.3 out of 10 — Early signal
- Stars: 109 total · +3 stars measured 2026-10-19, 12:58–14:34 UTC, ≈ 14 by evening
- Star trust: star growth looks organic
- Category: Learning & lists · Language: TypeScript · License: MIT · Created: 2026-10-18 · Last push: 2026-10-19
- GitHub: https://github.com/nichochar/ari · Page: https://gitnova.dev/en/r/nichochar/ari

## Useful for

- Set up a camera over your desk and study math or physics with graded exercises
- Build a curriculum for a new subject by chatting with Ari
- Back up your progress, notes and personalization files locally

## Why it’s here

- Star-counter measurements on 2026-10-19 (UTC), 12:58–14:34: 106 → 109 stars (+3). This is the change over that interval.
- Estimated end-of-day forecast: about +14 stars, using observed gains and the previous day.
- The repository is 1 day old and already has 109 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #193.
- About 9 forks a day — people are taking the code.

## 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: 7
- Issues and pull requests: 0
- Watchers: 0
- Average over the last week: 40 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 7

## Stars per day, last 2 days (oldest → newest, today is partial)

2026-10-18 … 2026-10-19: 67, 3

## Spotted in now

- Top new repositories this week: #193

## Similar by description

1. **rohitg00/ai-engineering-from-scratch** — 4.2 · Steady · Learning & lists · Python · +286 stars measured 2026-10-19, 00:07–14:34 UTC, ≈ 455 by evening
   Open-source AI engineering curriculum: 523 lessons across 20 phases (~342 hours) in Python, TypeScript, Rust and Julia, where every lesson ships a reusable artifact such as a prompt, skill, agent or MCP server.
   Full card: https://gitnova.dev/en/r/rohitg00/ai-engineering-from-scratch.md

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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 2026-10-19 14:47 UTC, updated every 30 minutes.