Training load, recovery, and performance don't live in one app. Context connects your workouts, HRV, sleep, nutrition, and body composition so you can train smarter — not just harder.
You log every run, ride, and lift. Your watch tracks heart rate, pace, and recovery scores. But when performance stalls or fatigue creeps in, the numbers alone don't explain why.
That's because training outcomes depend on everything around the workout — sleep quality the night before, nutrition timing, stress levels at work, hydration, travel, and how you structured your recovery. Without connecting these dots, you're left guessing which variable to adjust.
Context lets you layer your training data alongside the daily factors that actually drive adaptation, so you can see what's helping and what's holding you back.
Link Garmin, Strava, Whoop, Apple Watch, Oura, or any wearable that tracks workouts, heart rate, HRV, and recovery. Context syncs your sessions automatically.
Log what the wearable can't see — pre-workout nutrition, hydration, soreness levels, sleep feel, stress, and how the session actually felt. Quick tags make this effortless.
Monitor HRV trends, resting heart rate, sleep quality, and subjective recovery scores over time. See how different recovery strategies (active recovery, cold exposure, rest days) affect your readiness.
Look at performance across weeks or mesocycles. Compare high-volume blocks against deload weeks. Identify which combinations of training load, nutrition, and recovery produce your best results.
See how meal timing and composition before and after training correlate with session quality and recovery speed.
Identify which recovery strategies — sleep, nutrition, active recovery, rest days — actually restore your HRV and readiness fastest.
Find the volume and intensity thresholds where you adapt best without tipping into overtraining or accumulated fatigue.
Understand how travel days, time zone changes, disrupted routines, and high-stress periods affect your training capacity and recovery.
Context pulls together the data you're already generating — workout logs from Garmin or Strava, sleep and HRV from your wearable, heart rate trends, and resting metrics — then layers them alongside the context you add: nutrition, hydration, travel, soreness, mood, and workout notes.
Your Garmin uploads a hard interval session. Context shows it alongside last night's sleep score, your HRV trend for the week, what you ate before training, and how you rated your energy. Over weeks, patterns emerge — maybe your best sessions follow rest days with high protein intake, or your HRV dips when you stack hard efforts without adequate sleep.
Instead of relying on feel or a coach's best guess, you have a personal record of what actually works for your body.
The most useful approach is to treat your training like a structured experiment. Pick one variable — nutrition timing, sleep optimization, recovery protocol, or training periodization — and track it consistently for 4–8 weeks alongside your performance data.
Compare training quality with different fueling strategies — fasted vs. fed, carb timing, caffeine protocols — while holding other variables steady.
Test whether cold exposure, compression, active recovery days, or extra sleep produce measurable differences in your HRV recovery and next-session performance.
Track how different block structures (linear vs. undulating, high-frequency vs. high-volume) affect your progress markers and fatigue accumulation.
Measure how sleep duration, consistency, and quality predict next-day training output. Find your personal minimum for maintaining performance.
Context's sharing features — Clinician Snapshot and Shared Awareness — let you give your coach or trainer a clear picture of what's happening between sessions. Instead of "I felt tired," they see your HRV trend, sleep data, nutrition logs, and recovery scores alongside your training output. Better data means better programming decisions.
Join the Fulcra team to help us build the future of agent memory, and personal data sovereignty, Reach out below if you'd like to talk.
