Stiint is a hands-off time-tracking iOS app designed to give users detailed insights into how they spend their time. It combines location-based tracking with activity tracking, allowing both automated and user-triggered entries.

The app is structured around two main concepts:

• Users define a standard set of locations (up to 20), such as Home, Work, or Gym.
• Geofencing is used for these locations to provide precise, automated timeline entries.
• All other locations are tracked dynamically: if the user stops traveling and no standard location is active for more than 10 minutes, the app retrieves the current location and its type using the Apple Maps API.
• Locations can serve as triggers for activities, but this is optional.

• Activities mostly trigger via iOS Shortcuts, allowing users to start an activity based on app usage, time of day, or other events.
• Example: Opening Instagram can trigger the activity “Wasted Time.”
• Activities can be bound to a location, but this is optional.
• Users can also manually start activities if needed.

• The home screen shows a calendar-style timeline composed of blocks representing locations.
• Activities are nested inside each location block, showing what the user did while at that location.
• If a location is visited but no activity is triggered, the block simply shows the location.
• This design allows a clear visual mapping of both location and activity throughout the day.

• Geofenced and dynamic location tracking.
• Shortcut-driven activity tracking for minimal user intervention.
• Activities optionally linked to locations.
• Calendar-style timeline with location blocks and nested activities.
• Predefined locations limited to 20 for battery efficiency.
• Automatic location type inference for non-standard locations via Apple Maps API.

• All tracking is on-device and fully private.
• No data is shared externally unless the user chooses to export it.

• SwiftUI for the interface.
• CoreLocation for geofencing and dynamic location updates.
• MapKit / Apple Maps API for location type inference.
• Shortcuts & Intents for activity triggers.
• Core Data / SwiftData for storing timelines and activities.

A flow-style diagram should be available for days, weeks, etc., showing how time moves between activities.

Shows the distribution of time across activities.

Illustrate changes in metrics over time and highlight trends.

The model should interpret parts of the metrics. Each day, an insight could be generated, with output such as: “It looks like you’re studying less than usual lately.”

The design language should feel minimalistic and native, similar to apps such as Tiimo or Finanzguru.

A live activity can appear on the lock screen showing the current task, if the user enables it.

Users can share their yearly overview in a Spotify-Wrapped-style format to increase engagement and reach.

• https://github.com/maxhumber/Sankey
• https://github.com/alessiorubicini/SFSymbolsPickerForSwiftUI
• https://www.youtube.com/watch?v=nKHrsrmA4lM (TimeLineView)
• https://www.reddit.com/r/iosapps/comments/1n2cq3d/it_took_us_9_month_to_get_our_app_here/ cd
• https://www.hackingwithswift.com/quick-start/swiftui/how-to-provide-relative-sizes-using-geometryreader