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MeetDayflow.Automatic work journal & AI time tracker for Mac.

FreemiumPro $20/month.Open source
Dayflow application preview

Dayflow is an automatic work journal for Mac that records activity and turns the day into a readable timeline. Instead of asking you to start timers, choose projects, or tag every task, it captures work in the background and helps you review what actually happened.

The app is aimed at knowledge work where a calendar alone cannot explain the day. A developer, freelancer, or researcher can look back at focused work, communication, planning, and distractions, then use Dayflow’s summaries to prepare an update without reconstructing the day from memory.

Dayflow treats privacy and ownership as part of the product. It is open source, stores recordings and databases locally, and can use local AI, while users who choose cloud models need to understand that their selected provider processes the analysis.

Features

  • Record work activity automatically and display it as a visual timeline rather than relying on manual timers or broad app-usage charts.
  • Generate daily and weekly summaries that turn recorded activity into a readable account of progress, focus, and interruptions.
  • Categorize work such as research, coding, communication, planning, and distraction to make patterns easier to review.
  • Use focus tools, distraction limits, and activity breakdowns to compare intended work with the time actually spent.
  • Keep recordings and databases local, with the option to configure local AI for analysis that remains on the Mac.
  • Pause recording from the menu bar, delete stored data, and use shortcuts or deeplinks to control when tracking is active.

Where it fits

Dayflow is best for developers, freelancers, and other knowledge workers who want an automatic account of their day without maintaining a conventional timesheet. It is particularly useful when self-review, standups, or client updates depend on remembering scattered work.

It is not appropriate for anyone uncomfortable with activity recording, even when storage is local. Local AI can also demand more battery and GPU resources, while cloud AI changes the privacy model.

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