Welcome

Time Management Pet

A focused space to log how you spend your hours, run countdowns for your work, and see — week, month, year — what's actually paying off.

Try the Custom countdown below — no account needed. Logging blocks, history, and stats unlock once you sign up.

Today

End of day
00:00:00
Until 10:00 PM · UTC
Sleep window
10:00 PM → 7:00 AM
9h scheduled
Logged today
0m
0 blocks
Unlogged today
0m
since wake-up
Day efficiency effective

Productive ÷ (Productive + Non-productive), where Wasted + Unlogged = Non-productive (unlogged time counts against efficiency too).

Productive Wasted Neutral Unlogged Wasted + Neutral Non-productive

Top blocks today

  • No blocks logged yet today.

This week

The week
Elapsed hours
since this week began
Sleep
Awake hours
total − sleep
Time left
until end of week
How you spent it
Productive
Wasted
Neutral
logged, score-neutral
Unlogged (awake)
counts as non-productive
Efficiency
productive ÷ (prod + non-productive)

Wasted + Unlogged = Non-productive total — both reduce efficiency.

Awake-window breakdown
Productive Wasted Neutral Unlogged

Last 7 days

Click any past day for a read-only report.

Longer-range stats

Custom countdown

Each countdown logs a block in Today's time blocks. Maximum duration is 1 hour.

Timer

00:00:00 READY

Today's time blocks

0 / 500 characters

Times use 12-hour format with AM/PM (e.g. 9:00 AM, 2:30pm, 11 p.m.). 24-hour input is not accepted. Start must be before End, end can be at most 1 hour ahead of now, and blocks can't overlap each other.

Words like wasted, scrolling, youtube, social media, procrastinating auto-flag the block as Wasted — even when run together (e.g. seenyoutube, sotimegotwasted). Click the chip in the table to flip a classification.

Tip: include durations like 30m sleep and 30m deep work to auto-split the block.

Start End Duration Reason / Activity Actions

Predicted next blocks

Updates as you log

A guess at your whole day from your past patterns — wake-up through end-of-day. Click Use on a future row to drop it into the log form above. Use 👍 / 👎 on any row to teach the model what was right.

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