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FOSS Release v1.0.0
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🚀 Release Notes: v1.0.0 (Stable)
The first stable release of FastTimes!
✨ Key Features
⏱️ Intermittent Fast Tracking
- Intuitive Timer: Start, stop, and adjust your fasts with a single tap. A persistent background service ensures your progress is tracked accurately, even if the app is closed or the device restarts.
- Flexible Fasting Goals: Choose from standard intermittent fasting plans (16:8, 20:4, OMAD) or define a custom goal that fits your specific routine.
- Visual Progress: Stay motivated with Material 3 Expressive countdowns and notifications.
- Comprehensive History: Review past fasts with detailed logs and edit previous entries to keep your data accurate.
- Streaks: Stay motivated by building up you fasting streaks, helping you build a habit.
- Statistics: Visualize your streaks and habits over time to better understand your progress.
🎨 Personalization
- Material 3 & Dynamic Colors: A modern Material 3 interface (using Material 3 Expressive components) that supports "Material You," automatically adapting to your system wallpaper colors.
- Theming Support: Seamlessly switch between light and dark themes for comfortable nighttime logging.
- UI Customization: Tailor the app's look with adjustable accent colors and interface elements.
🛡️ Privacy First
- 100% Offline: FastTimes works entirely without an internet connection. Your data never leaves your device.
- No Accounts, No Tracking: No email required, no cloud syncing, and absolutely no third-party analytics or trackers.
- Open Source: Built with transparency in mind.
- Full Data Control: You own your data. Export and Import your history as you wish.
🏗️ Modern Tech Stack
Built with the latest Android standards to ensure a high-performance, resilient experience:
- Jetpack Compose: A fully declarative UI for fluid animations and a modern user experience.
- Kotlin Coroutines & Flow: Powering reactive, non-blocking data streams throughout the app.
- Room & DataStore: Robust local-first persistence; Room handles complex fasting logs while DataStore manages user preferences.
- Hilt DI: Clean dependency injection for a modular, maintainable, and testable architecture.
- Clean Architecture (MVVM): Ensure the app is scalable and robust.