What actually affects how rested you feel?
Track your sleep and wake-up feeling each morning. AI spots patterns in your own data — no wearable needed.
Updated 15 July 2026
Over the last 14 days, you felt rested on 9 of 11 mornings when you were in bed before 10:30pm, compared to 2 of 6 mornings when you weren't — even when hours_s…
Most of us assume we know what helps us sleep well — more hours, earlier nights, cutting caffeine. But your own data often tells a different story. By logging a handful of factors each morning, you build a personal dataset that shows which variables actually move the needle on how rested you feel, and which ones don't matter as much as you thought.
6 fields. Done in 30 seconds each morning.
Fast enough to fit into any routine, specific enough to generate real patterns after 30 days.
Log, build, learn.
Log each morning
Rate last night's sleep quality, note hours slept, whether you felt rested, and a couple of yes/no factors like bedtime and caffeine.
Build your dataset
After a week or so, you've captured enough mornings for the AI to start comparing — which combinations of bedtime, hours, and habits correlate with feeling rested.
Get your first insight
The AI surfaces a pattern from your own logs — like noticing you felt rested far more often on nights you were in bed early, regardless of total hours.
Why people stick with it.
4 things Sleep Quality Log reveals about you.
- Which nights leave you feeling most rested, and what they have in common
- How your bedtime, caffeine timing, and hours slept interact in your own patterns
- Whether feeling rested connects more to sleep quality or duration for you
- What your personal 'sweet spot' for sleep looks like across a typical week
Here's what arrives at 30 days.
Illustrative — your analysis uses your own data.
The AI compares your sleep quality scores, hours slept, and wake-up feeling against factors like bedtime and caffeine timing across all your logs. It might reveal that feel_rested strongly correlates with bedtime_before_1030 in your data, even when hours_slept stays constant — or that quality_score and hours_slept don't predict restedness as reliably as you expected. These are illustrative examples of the kind of correlations the analysis surfaces from your personal dataset.
“Over the last 14 days, you felt rested on 9 of 11 mornings when you were in bed before 10:30pm, compared to 2 of 6 morni…”
People watching their own patterns.
For anyone who wonders why some nights leave them refreshed and others don't, even when they slept the same number of hours.
Common questions
Do I need a sleep tracker or smartwatch?
No. This is entirely self-reported — you log how you slept and how you feel each morning. The AI works with what you notice, not sensor data.
What if I don't know my exact sleep hours?
Your best estimate is fine. The AI looks for patterns across many entries, so small inaccuracies in individual logs don't break the analysis.
How many entries before I see patterns?
AI insights start appearing after around 7–10 logs, and get sharper as your dataset grows. Even a fortnight can surface useful correlations.
What does 'Sleep Quality' mean?
It's a simple 1–10 scale based on how you'd rate the night — restless and broken, or deep and uninterrupted. Your own judgment, not a measurement.
Can this diagnose a sleep disorder?
No. This tracker shows you patterns in your own habits and how rested you feel. It's not medical and doesn't diagnose anything.
What if my sleep is all over the place?
That's exactly when tracking helps. The AI can reveal whether the chaos is random or if certain factors — bedtime, caffeine, weekday vs weekend — play a bigger role than you think.
Pair with these trackers.
Free forever · Plus £7.99/mo · Pro £17.99/mo
Your sleep quality log patterns
are in your data.
30 seconds each morning. Thirty days to your first real insight. Free.
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