情绪弧线仪表盘
A CLI tool that analyzes your git commit messages to generate weekly emotional health reports.
How did you come up with this project?
I started this project after my third burnout in two years. Looking back, the signals were always hidden in my commit messages.
How often do you use this product yourself?
The training data comes from 50,000 anonymized commit messages. Most users report that the identified patterns are scarily accurate.
Mood Compiler uses a fine-tuned sentiment analysis model to track lexical complexity, temporal patterns, and emotional polarity across your entire git history.
Every Monday, you will receive a concise Markdown report: an emotional arc of the past week, flagged risk patterns, and a simple piece of advice.
The best debugging tool is self-awareness.
April 1, 2026
团队版聚合视图正在开发，预计 4 月中旬内测。
