Explore sets, reps, weight and RPE alongside muscle distribution and changes over time. The model states its assumptions; you or your coach make the decisions.
Train alone or with a coach · start on web now, mobile app coming soon
Reported RIR is one to two. The model calculates 60% of its reference credit. This percentage is not a measured share of muscle growth.
Change rep count at the same RIR to explore model sensitivity. Similar outputs describe the model; they do not prove equal personal growth across rep ranges.
This is a model, not a measurement. It weighs every rep by how close it was to failure on a continuous curve — there is no cut-off after which reps stop counting.
Everything above is what happens after you log. The logging itself is fast, offline-tolerant, and free.
Take a set to RPE 8 — two reps left in the tank. Do five. Do ten. Do twenty. The work looks completely different in your logbook. The model scores it almost the same.
| Set | Reps | RPE | Rep-equivalents | Set credit |
|---|---|---|---|---|
| A | 5 | 8.0 | 2.86 | 0.57 |
| B | 10 | 8.0 | 3.01 | 0.60 |
| C | 20 | 8.0 | 2.98 | 0.60 |
| D | 10 | 5.0 | 1.03 | 0.21 |
| E | 10 | 10.0 | 5.00 | 1.00 |
Rows A–C show how rep count affects the model; B/D/E show the effect of RPE. These are calculated examples, not experimental measurements of muscle growth.
Two lifters completing the same number of sets may have different outcomes. Set count alone does not describe load, reported effort or personal context.
Compare the exercise’s defined muscle mapping, reported RPE and changes in your records over time. The mapping is not a real-time measurement of muscle activity.
We present records, derived values and model estimates with their assumptions. Interpretation and decisions remain with the user.
Every rep is weighted by its distance from failure on a continuous curve — no arbitrary "effective reps start at 5 RIR" cutoff.
Primary and assisting roles are tracked separately. Total volume uses model role weights and caps; it is not a physiological contribution percentage.
Effective set credit divided by model cost. It does not measure growth, fatigue or recovery efficiency.
Last 7 days against your last 28. A workload signal — not a medical one.
Example ratio: 1.06. This is not a personal target or a recommended safe range.
Front and back views of defined muscle groups. Lats, upper back and lower back are separate; unspecified back records stay general.
Build a routine once and run it as many times as you want, or start empty and decide as you go. Warm-ups don't pollute your volume. Drop sets, myo-reps and supersets are modelled the way you actually perform them, not flattened into "a set". Finish one routine and the next queues up — skip it or push it back, your call. Personal records, estimated 1RM progression, and a history calendar that shows consistency without nagging you about it.
Compare athletes’ latest records, load ratios and reports in one view. You decide what these observations mean for their training plans.
| Athlete | Last session | ACWR |
|---|---|---|
| Deniz A. | Today | 1.42 |
| Mert K. | Yesterday | 1.08 |
| Selin T. | 2 days ago | 0.94 |
| Baran Y. | 9 days ago | 0.61 |
Athletes keep their own account either way. A coached athlete gets their program from you; an independent one runs their own routines. Same app, same numbers.
Read the full coach walkthrough →Fitness tech has a credibility problem because everyone overclaims. Here are our limits, stated before you ask for them.
Sign-up is free, no card required. Turn on scientific analytics — ACWR, Stimulus ROI, effective volume — whenever you're ready.
Personal training, routines and basic tracking.
All scientific analytics for an individual athlete: ACWR, Stimulus ROI, effective volume, readiness.