I built a theme selector for Ghostty that learns which color schemes you prefer in different contexts.

  It reads your Mac's ambient light sensor and considers:
  - Time of day (morning, afternoon, evening, night)
  - Ambient light level (dim, office, bright, daylight)
  - System dark/light mode
  - Weather conditions
  - Power source (AC vs battery)

  A background daemon watches which themes you use and builds a Bayesian model of your preferences. Over time it learns things like "in dim evening light, they prefer high-contrast dark themes with muted colors."

  Once it has enough data, it can generate a custom theme optimized for your current context.

  ghostty-ambient              # Interactive picker with recommendations
  ghostty-ambient --ideal      # Generate optimal theme for current context
  ghostty-ambient --stats      # See what it's learned about you

  Install: uv tool install ghostty-ambient or pip install ghostty-ambient

  GitHub: https://github.com/gezibash/ghostty-ambient

  Built for Ghostty (https://ghostty.org) but the Bayesian preference learning could apply to any theming system.