A Day in the Data
See how I integrate 8Sleep, Garmin, Speediance, and WHOOP into a single day — from morning runs to evening recovery.
The 24-Hour Timeline (Weekend)
Bedtime
Sleep Score: 61
Wake Up
3.48h sleep, 27.9 HRV
Morning Run
3.02mi @ 15:04/mi
Breakfast
720kcal, 56g protein
Lifting
Arms Barbell: 11,447 lbs
Lunch
840kcal, 65g protein
WHOOP Check
11.6 strain, 18% recovery
Dinner
840kcal, 65g protein
The Numbers
Key Insights
Why I Train Early In The Morning
Morning runs hit different. My Garmin data shows consistently lower resting heart rate and better HRV readings before 8 AM. Plus, getting the workout done first means no excuses later in the day — life doesn't get in the way of training when training is already done.
How I Use Data to Optimize Recovery
My WHOOP recovery score drives my training intensity. When I'm under 40%, I scale back — lighter lifting, walking instead of running. The 8Sleep Pod 3 tracks sleep debt in real-time, and I've found that 7+ hours of actual sleep (not just time in bed) correlates directly with better lifting performance the next day.
Why I Don't Train at Night
My Speediance sessions are all before 2 PM. Evening lifting jacks up my heart rate too close to bedtime, and my 8Sleep data proves it — workouts after 6 PM drop my sleep score by an average of 15 points. The data told me: morning and early afternoon are my training windows.
The Tech Stack
Want More Data?
Dive deeper into your fitness data with my detailed pages for running, lifting, and recovery tracking.