LifeFlux

LifeFlux is a utility-focused application centered on date calculation and time display.
Users can view the amount of time that has elapsed based on a selected date, with time values continuously updated while the app is in use.

The app supports locally storing multiple personally relevant dates. When more than one date is saved, LifeFlux automatically selects the nearest upcoming date and displays the remaining number of days until that date on the main screen as a time reference.

LifeFlux operates without network access, and all data is stored locally on the device.
No user account is required, and no online synchronization features are included.

Multiple appearance options are available, allowing users to choose light mode, dark mode, or follow the system appearance setting based on personal preference.

Feature Overview

• Date interval calculation — displays elapsed time based on an input date
• Continuous time display — time values update dynamically during app usage
• Key date viewing — supports multiple saved dates and shows the nearest one
• Local data storage — all information remains on the device
• Offline availability — full functionality without an internet connection
• Appearance options — light mode, dark mode, and system appearance support
• Simple interaction structure — interface focused on information display

Data and Privacy

LifeFlux does not collect or process personal identification information.
All date-related data entered by the user is used solely for local display and is not transmitted, uploaded, or shared.

To improve application stability, LifeFlux integrates Firebase Crashlytics, a crash diagnostics service provided by Google.
This service may automatically record anonymous device information and error logs for technical analysis purposes only.

Data handling related to Firebase Crashlytics is governed by Google’s Privacy Policy:
https://policies.google.com/privacy

LifeFlux offers an offline approach to viewing time spans and date-based information, designed for users who prefer to manage and reference such data locally.