Lossy — Training Pets

Your training runs, alive

Only for iPhone

Free · Designed for iPhone. Not verified for macOS.

iPhone

You kick off a training run. An egg appears on your lock screen. While your model learns, the egg wobbles, glows, and cracks — happy when loss is falling, nervous when it spikes, sleepy when things plateau. When the run finishes, it hatches, and you meet what you made: a one-of-a-kind pixel creature whose personality comes from how the training actually went. If the run crashes, well… you'll want to be more careful with the next egg. Lossy is a training monitor with a heartbeat. Under the cute is a real tool: - Loss curve and progress at a glance, on OLED black - Live Activities: hatch progress on your lock screen and Dynamic Island - Widgets: your incubator on the home screen - Real-time push when a run finishes or crashes — no more tab-refreshing - A shelf of every creature you've ever hatched, each one a training run you can look up Setup is two lines: pip install lossy import lossy run = lossy.init(project="my-project") lossy.log({"train/loss": loss}, step=step) Pair once with a token from the app. No account, no API keys, no analytics — and Unpair erases everything server-side. Your metrics belong to you; we just make them adorable.

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The developer, MingHsun Liu, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy .

  • Data Linked to You

    The following data may be collected and linked to your identity:

    • User Content
    • Identifiers
  • Data Not Linked to You

    The following data may be collected but it is not linked to your identity:

    • Usage Data

Privacy practices may vary, for example, based on the features you use or your age. Learn More

The developer has not yet indicated which accessibility features this app supports. Learn More

Seller
MingHsun Liu
Size
4.6 MB
Category
Developer Tools
Compatibility
Requires iOS 17.0 or later.
  • iPhone
    Requires iOS 17.0 or later.
  • Mac
    Requires macOS 14.0 or later and a Mac with Apple M1 chip or later.
  • Apple Vision
    Requires visionOS 1.0 or later.
Languages
English and Traditional Chinese
Age Rating
4+
Copyright
© 2026 benrio