A tweaky knee. A cranky lower back. A shoulder that hates flat bench but tolerates incline. flexRep treats pain as first-class training data — a real entity in the model with a 0–10 NRS scale, anatomy grid, and per-set granularity. The ACWR chart watches your acute:chronic workload ratio and flags spikes before they become injuries. The AI insight will say "see a clinician" when the signal warrants — and it knows how to mean it.
Most lifting apps assume the absence of pain. flexRep assumes the opposite — that lifters with histories, sensitivities, or recent injuries deserve a tool that lets them train at intensity without ignoring the body that's reporting back.
Log pain at any granularity — daily, per-workout, per-performance, per-set. 0–10 NRS scale. Onset (during / after / next-day). Anatomy grid defaults to the last-used location. The exercise picker shows a 🩹 badge on lifts with three or more pain entries in the last 30 days.
Acute (7-day) volume over chronic (28-day) volume. Banister / Gabbett 2016. The chart bands turn yellow at 1.3–1.5 and red above 1.5. Soft notification once per 7-day window — never spam. Cited in the methodology card.
The verdict-mode insight returns a typed action — add_set · drop_volume · deload · see_clinician · stay_course — with a confidence score. When sustained ACWR red-band crosses persistent pain at the same location, see_clinician is on the table. No false certainty.
Seven-day volume divided by twenty-eight-day volume. A reading inside the green band is sustainable load. Yellow (1.3–1.5) means watch your sleep and soreness. Red (above 1.5) is where the injury-rate curve steepens in the literature — and where the soft notification fires, once per 7-day window. The chart sits in your Analysis tab as a small, persistent indicator.
Out of the The Lifter Managing Pain's thirty-six daily features, these are the ones that earn their seat at the rack.
Leading-edge swipe action on every set. 0–10 NRS slider, anatomy grid with last-location default, onset tag, optional movement notes.
See it7-day acute over 28-day chronic. Yellow 1.3–1.5. Red >1.5. Per-week debounced notification when you spike. Methodology card cites Banister / Gabbett 2016.
See it🩹 badge on the picker when an exercise has ≥3 pain entries in 30 days. Tap into the exercise detail to see the location distribution and severity trend.
See itOn-device intelligence. Returns a specific action — add a set, drop volume, deload, see a clinician, stay the course — with a target, a reason, and a confidence number. The "see a clinician" suggestion is framed explicitly, never tucked into a paraphrase. And the AI is goal-aware: a specialization phase in grip, climbing, or strongman work is read as specialization, not imbalance.
See itRegression with confidence-interval gating. The classifier won't cry stall during a planned deload, and the hypertrophy phase classifier means a high-rep block reads as a phase. Catches real plateaus; misses the false alarms.
See itNo general-purpose lifting app treats pain as first-class data. The category mostly assumes you're fine. flexRep's position is the opposite: a lifter who is honest about pain is a lifter who can train for decades.
Numbers that hold under load.
Volume the literature would recognize.
Your block, as a real graph.
Hand a clean JSON to anyone.
Show up. Tap. Lift.
Hangboard edges and V-scale grades, first-class.
Sinclair, not Wilks — a separate scoring discipline.
Yokes, sleds, carries, atlas stones — modeled.
Joint angles, per-set grips, fine forearm radar.
Strength + conditioning, one logger, honest math.
All of this, on your device. In your data. No account required to start.