What's your screen-time actually costing you?
Track daily hours by category, plus mood and sleep — then let AI show the patterns most apps won't tell you.
Updated 26 June 2026
Over 14 days: doomscroll_hours above 1.5 correlated with mood_after_main_session below 5 on 9 out of 11 days. Days with screen_break_minutes above 60 averaged m…
Most screen-time tools show you totals, but not how those hours connect to how you feel, how you slept, or whether the time was intentional. This tracker logs the context — categories, doomscroll hours, mood after your main session, time outside — so AI can show which kinds of screen use correlate with better or worse days for you. It's not about quitting screens; it's about seeing which hours cost you most.
6 fields. Done in 30 seconds a day.
Fast enough to fit into any routine, specific enough to generate real patterns after 30 days.
Log, build, learn.
Log daily, honestly
Each day, check your phone's screen-time report and enter totals, categories, doomscroll hours, and how you felt.
Build a real dataset
After a week or two, you've got enough entries for AI to spot patterns between screen use, mood, sleep, and time off-screen.
Get your first insight
AI surfaces correlations — like whether social media hours above a certain threshold track with worse mood, or whether intentional screen days feel different.
Why people stick with it.
4 things Screen-time (general) reveals about you.
- Which screen categories correlate with worse mood or worse sleep for you specifically
- Whether doomscrolling hours track with comparison-driven days, and how often that's happening
- How intentional versus default screen use shows up in your mood after long sessions
- Whether time outside or time with people in person changes the pattern
Here's what arrives at 30 days.
Illustrative — your analysis uses your own data.
AI looks across your entries to surface patterns like: do days with more than X doomscroll hours correlate with lower mood_after_main_session? Does social_media_hours above a threshold track with comparison_driven_today being true? Do days marked 'intentional' show different mood or sleep patterns than 'default' days? These are illustrative examples — your patterns will depend on your data, but AI shows the correlations your screen-time app can't.
“Over 14 days: doomscroll_hours above 1.5 correlated with mood_after_main_session below 5 on 9 out of 11 days. Days with …”
People watching their own patterns.
For anyone who suspects their screen habits aren't helping, but doesn't know which hours (or which apps) matter most.
Common questions
Do I need to install anything or give Unhide access to my phone?
No. You log the numbers yourself — check your phone's built-in screen-time report, then enter totals and categories into Unhide. Nothing automatic, nothing connected.
What counts as 'doomscrolling'?
However you define it. The field is there for the hours that felt compulsive, passive, or draining — you decide what qualifies each day.
What if I don't remember exact hours?
Best guess is fine. AI looks for trends across days, not precision within one entry. If your phone gives you a number, use that; if not, estimate.
Will this make me feel guilty about my screen time?
Only if guilt is already there. The tracker surfaces patterns — whether certain categories or hours correlate with how you feel. What you do with that is up to you.
How many days before I see a pattern?
AI starts looking after a few entries, but clearer signals usually appear after 10–14 days when you've got some variety in your data.
Can I track this alongside other trackers?
Yes. Screen-time pairs well with mood, sleep, or energy trackers — AI can surface cross-tracker patterns if you're logging multiple things.
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Your screen-time (general) patterns
are in your data.
30 seconds a day. Thirty days to your first real insight. Free.
Start tracking free