For self-coached endurance athletes
TrueFeel synthesizes your wearable data with how you actually feel — and gives you one clear answer every morning in 20 seconds.
Backed by 30+ peer-reviewed studies.
Oura readiness is good — HRV rebounded overnight. Garmin's flagging accumulated training stress from the last 3 days. For where you are in your build — 3 weeks out — intervals today but cap at 90%. You get the workout without digging the hole.
“I wake up and my Garmin tells me base ride. TrainerRoad says rest day. Intervals.icu says optimal. Then my Edge wants intervals. Four different apps.”— RockMover12, r/cycling
A systematic review of 56 studies found negligible correlation between how athletes feel and what their devices say. This isn't a flaw in wearables — it's a fundamental feature of human physiology.
“I have tried whoop, garmin and oura. All were less accurate than a ‘how do I feel today’ metric.”— 7wkg (56 ↑), r/cycling
But feel alone isn't enough either. Your body has blind spots. You can feel fine the morning you're getting sick. You can feel terrible when the data says you're recovered.
The answer isn't feel OR data. It's both — synthesized through your personal history.
5 real conflicts. 5 different resolutions. Every one backed by science.
Meh for you usually means you warm up into it — that's happened 4 of the last 5 times. Try the warmup. If legs don't come around in 15 minutes, drop to Zone 2.
Subjective measures detected training responses with superior sensitivity vs. objective markers.
Saw et al., BJSM, 2016
Energy, soreness, motivation, stress. Quick taps. Before data.
Seeing data first contaminates self-assessment.
Feel + Oura + Strava + plan → conflict detection → resolution.
Combined approaches outperform single-signal monitoring.
Go / Go with limits / Modify / Bail. With reasoning. Always.
When signals misalign, each captures what the other misses.
“The only purpose of the HRV stat is to spike my anxiety wondering wtf that means when it goes out of range.”— irbilldozer, r/cycling
6 pillars. 30+ peer-reviewed studies. Bulletproof foundations.
Subjective feel and objective biometrics routinely fail to correlate. A systematic review of 56 studies found negligible agreement between how athletes feel and what their devices say.
Saw, Main & Gastin (2016), British Journal of Sports Medicine
The International Olympic Committee and multiple systematic reviews endorse subjective measures as scientifically valid — often more sensitive than HRV or blood markers for detecting meaningful training responses.
Soligard et al. (2016), BJSM; Montull et al. (2022), Sports Med Open
Interoception — sensing internal body states — is a measurable, improvable skill. Athletes with better interoception make better pacing decisions and self-regulate intensity more effectively.
Zeng et al. (2025), Psychophysiology; Hirao et al. (2025), Int J Sport Psych
Neither feel nor data alone reliably predicts injury or performance. Combined approaches — subjective load with objective readiness — outperform single-signal monitoring consistently.
Williams et al. (2017), Sports; Windt & Gabbett (2017), BJSM
Commercial wearables vary 2-17% from gold-standard ECG. Even accurate devices capture partial readiness — HRV alone doesn't predict next-day mental fitness after controlling for sleep.
Gördings et al. (2025), J Sci Med Sport; Doorn et al. (2023), J Clin Med
The strongest counter-argument — HRV-only algorithms beat rigid plans — actually supports TrueFeel. Those studies beat fixed schedules, not integrated approaches. We don't compete with HRV guidance. We enhance it.
Plews et al. (2023); Meier et al. (2021), Sports (MDPI)
Real scenarios. Real decisions. Real science.
TrueFeel builds a personal model of you — your sleep patterns, your HRV rhythms, what your “meh” means, how you respond to back-to-back hard days. The science calls this interoceptive intelligence.
That context can't be exported. Can't be recreated. It's yours.
Built by a solo founder. Backed by 30+ studies. Validated by hundreds of Reddit athletes.
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“Your body knows things sensors can't measure. We help you hear it.”