Input
HRV trend, resting heart rate, sleep quality, subjective feel, and recent training load.
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The Science
The science behind recovery-aware strength training.
Sundee Fundee turns Apple Health signals, subjective readiness, optional cycle context, and injury flags into a practical training choice: push, hold, modify, or recover.
Model layers
- Readiness
- Can your body use hard training today?
- Cycle context
- Is optional phase or symptom context useful?
- Pain flags
- Does the movement need a safer route?
- Training goal
- What stress was today supposed to create?
Interactive simulator
See how the training decision changes.
This is an illustrative model of the principles behind Sundee Fundee, not the exact production scoring algorithm. It shows how readiness, cycle context, pain, and session goal can change the safest useful version of the workout.
Suggested response
HoldRun the plan, keep it honest.
The illustrative model would keep today close to the original workout without turning it into a test day.
- Load
- Keep normal working weights and avoid surprise max attempts.
- Volume
- Complete the planned sets unless bar speed or symptoms clearly fade.
- Exercise
- Use the planned exercises and keep substitutions available if the warm-up changes the picture.
- Rest
- Use normal rest periods and extend slightly if effort climbs too fast.
Why this recommendation changed
- - A steady day does not need over-management.
- - The point is matching stress to the athlete, not making every session easier.
Interpretation
The app treats those signals as context around your own baseline rather than a pass-fail comparison to someone else.
Training change
High-readiness days can support heavier loading. Lower-readiness days bias cleaner reps, lower total stress, or recovery work.
Input
Cycle phase, symptoms, sleep, and how the warm-up feels once the session starts.
Interpretation
Phase patterns can be useful, but the individual athlete still matters more than an average-cycle chart.
Training change
The app can shift intensity, rest, and exercise emphasis while still letting readiness override the calendar.
Input
The movement pattern, tissue or joint involved, symptom severity, and the goal of the session.
Interpretation
The system separates the training intent from the exact exercise that may be causing the problem.
Training change
A squat pattern might become a split squat, leg press, or technique-only day instead of vanishing from the week.
Input
Training history, readiness, symptoms, and whether recent sessions created more fatigue than expected.
Interpretation
The planned day matters, but it should not overrule evidence that the athlete is not ready for that stress.
Training change
The app preserves the purpose of the session while changing load, volume, rest, or exercise selection.
Training guidance, not medical advice
Cycle symptoms, pain, and injuries deserve conservative framing. Sundee Fundee can organize training decisions, but it does not diagnose, treat, or replace care from a qualified clinician.
Evidence
The claims stay useful because the limits are visible.
The page links to research that supports the direction of the model while spelling out what the app should not claim.
Menstrual-cycle effects on maximal strength are worth tracking, but they are not universal.
The Influence of Menstrual Cycle Phases on Maximal Strength Performance in Healthy Female Adults
What this supports
Cycle phase can be relevant to strength performance research, which supports offering cycle context as an optional training input.
What not to overclaim
It does not justify telling every athlete that a specific phase will always be strongest or weakest.
Exercise performance research supports individualized cycle-aware guidance.
The Effects of Menstrual Cycle Phase on Exercise Performance in Eumenorrheic Women
What this supports
Cycle phase can influence exercise performance, but the practical signal should be combined with symptoms and readiness.
What not to overclaim
It does not support replacing lived feedback with a fixed 28-day programming rule.
Sleep matters for performance, recovery, and mood in athletes.
The Impact of Sleep Interventions on Athletic Performance
What this supports
Sleep quality belongs in a readiness model because it can affect how much training stress an athlete can use well.
What not to overclaim
It does not mean one bad night should automatically cancel a strength session.
ACL and ligament-laxity research argues for conservative injury-risk framing.
The Effect of Menstrual Cycle and Contraceptives on ACL Injuries and Laxity
What this supports
Some research connects cycle biology with laxity and ACL risk, so high-risk movements deserve careful context.
What not to overclaim
It does not mean the app can diagnose injury risk or make medical decisions.
Related resources
Keep building the training decision.
These pages turn the science into a narrower decision for readiness, cycle context, pain, and recovery-aware programming.
Readiness score strength training
Use recovery context to decide when to push, repeat, modify, or pull back.
Read more
Cycle-aware training
Use optional cycle context without letting phase labels overrule readiness.
Read more
Train around injury
Keep training decisions conservative when pain changes the plan.
Read more
Why recovery beats the calendar
A deeper article on readiness-gated programming and smarter deload choices.
Read more
Try the app
Turn readiness into today's workout.
Download Sundee Fundee and use recovery-aware programming, optional cycle context, and injury-smart substitutions on iPhone.