Super Productivity

ToDo List & Time Tracker

Free

Plan. Focus. Ship work. Super Productivity combines a fast to-do list, precise time tracking, and smart integrations in one local-first app for macOS. WHAT YOU CAN DO • Capture and prioritize tasks without friction • Track time per task (Pomodoro and focus timers included) • Plan your day and week with a clear, drag-and-drop planner • Export clean timesheets and work reports INTEGRATED, NOT INTRUSIVE • Connect Jira, GitHub, GitLab, and OpenProject • Import issues, filter what matters, and stay updated without noise BUILT FOR DEEP WORK • Focus mode, break reminders, and lightweight self-reviews • Wide keyboard shortcut coverage for a fast workflow PRIVATE & LOCAL-FIRST • Open source, no accounts, no data collection • Your data stays on your device; backups and exports are always available WHO IT’S FOR Developers, freelancers, and teams who care about clarity, speed, and privacy.

  • 4.8
    out of 5
    13 Ratings

Reworked Focus Mode, improved scheduler and planner views, added week view scaling, new task shortcuts, better task filtering, updated translations, and several UI fixes.

The developer, Johannes Millan, 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 Not Collected

    The developer does not collect any data from this app.

    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
    • Johannes Millan
    Size
    • 49 MB
    Category
    • Productivity
    Compatibility
    Requires iOS 16.0 or later.
    • iPhone
      Requires iOS 16.0 or later.
    • iPad
      Requires iPadOS 16.0 or later.
    • Mac
      Requires macOS 12.0 or later.
    • Apple Vision
      Requires visionOS 1.0 or later.
    Languages
    • English
    Age Rating
    4+
    Copyright
    • © 2018-2025 Johannes Millan MIT