Lecture video
The same video platform can be focused learning during class prep and drift later at night.
Study time tracking
Study time tracking for mixed-use apps and sites.
Students use the same websites for lectures, research, notes, entertainment, and avoidance. drifty captures the activity context automatically, then helps classify whether that time supported study or became drift.
Studying is hard to measure because the tools are ambiguous.
YouTube can be a lecture, Google can be research, Reddit can be an answer, and all three can also become drift. A study tracker that only counts websites misses the difference that actually matters.
- Review how much of the day looked like focused study versus drift.
- Spot patterns after lectures, research sessions, or late-night browsing loops.
- Use Mac activity context without manually starting a timer for every block.
- Choose local classification, hosted AI, or API key-based setup when you want AI classification.
Study signals worth separating.
The same tool can be useful or distracting depending on the session context.
Research tabs
Source gathering looks different from search loops once the session has context.
Notes and planning
Docs, calendars, and notes can become part of a study rhythm rather than generic productivity totals.
Study time tracking FAQ.
Can drifty tell study from entertainment on the same site?
That is the goal of context-aware classification. The same site can mean different things depending on the surrounding activity and session pattern.
Do students need to start a timer for each study block?
No. drifty starts from automatic Mac activity capture, then lets you review study and drift patterns after the day exists.
Does drifty block distracting sites?
No. drifty is focused on time analysis and review. It helps you see where study held and where drift formed, rather than acting as a blocker.
Understand your study time before you try to fix it.
drifty helps turn mixed-use screen time into a clearer study and drift review.