Vecqua
Competitive swimmingA race-strategy engine for swimmers. Converts seed times across pool formats, models fatigue lap by lap, and hands you a pacing plan you can read from the block.
Vecqor
Skill development, measured
Improvement is a vector.
It has a magnitude and a direction — so we measure both. Vecqor builds training instruments that log what you actually did, model it with proven formulas, and tell you exactly what to do next.
Vecqua · 200 Free · LCM projection 2:27.24
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The Vecqor method
One pipeline, any skill.
Every Vecqor app runs the same loop. The domain changes — the pool, the problem set — but the mathematics of getting better doesn't. Read the full method →
STEP 01
Log
Capture real sessions with minimal friction — race splits, practice effort, problem attempts.
STEP 02
Assess
Score the data against your own baseline: variance, consistency, integrity of the record.
STEP 03
Model
Published formulas project your next performance, tuned by your log.
STEP 04
Advise
The model condenses to one clear instruction, right before or after it matters.
The instruments
Two apps, one discipline.
Each Vecqor app is a purpose-built instrument for a single skill — starting in the water and on the page.
Vecquan
Mathematics · in developmentA mastery engine for mathematics. Treats every solved problem as a data point — classifying errors, modeling retention, and scheduling exactly the practice that moves your score.
Competitive swimming
Vecqua. Race strategy, computed.
Vecqua converts your seed times across pool formats, models fatigue lap by lap, and condenses it all into one cue you can hold in your head behind the block — then checks the result against the plan when you touch the wall.
Inside the app
Five stations, one engine.
Everything runs on-device, thumb-reachable from the pool deck, in a chill-mode / deck-mode adaptive theme.
TAB 01
Meet Prep Station
Run a pacing calibration before your heat. Warm-up hydrodynamic checks — gutters, floor slope, lane lines — feed drag penalties into the projection, then a cue token and one physical directive render deck-ready.
TAB 02
Race Logger
Log seed, final, and lap splits per event in a mono ledger. A DQ triage — mental lock, turn slip, gear failure — routes to coaching alerts instead of softening your targets.
TAB 03
Practice Companion
One RPE slider, benchmarked 1–10. A +1.5s push-off penalty separates practice efforts from block-dive speeds, and an honesty check keeps the model calibrated.
TAB 04
Quick-Translate Terminal
Instant SCY ↔ SCM ↔ LCM conversion between heats. Type any one time, get the other two — no environmental modifiers, just clean physics.
TAB 05
Profile Hub
The Consistency Index scores pacing precision, training compliance, and calibration integrity into a public tier — earned by discipline, not talent.
[ SMOOTH CRUISE ]
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The projection engine
From seed time to split plan.
One master equation projects your short-course seed into a long-course target, then chunks it into per-50 splits along a modeled fatigue curve.
ProjectedLCM = (TSCY × DM) + (TF × TurnΔ × Sm × AF) + DragΣ
Distance multiplier, turn-factor advantage, stroke hydrodynamic coefficient, age-fatigue cushion (with a prodigy override for outlier velocities), and summed environmental drag penalties.
Lap1 = Projected / Laps − (2.20 × 1/Sm) / 2
The block-launch factor buys back time on the opening lap; the rest decays linearly (±0.4s) across laps 2–4 to model lactic accumulation.
| 200 FR · LCM | target | actual | Δ |
|---|---|---|---|
| 50m | 35.71 | 35.62 | -0.09 |
| 100m | 36.78 | 36.91 | +0.13 |
| 150m | 37.18 | 37.30 | +0.12 |
| 200m | 37.58 | 37.44 | -0.14 |
race log · all splits within the ±0.4s precision window · seed 2:10.00 SCY → projected 2:27.24 LCM
Mathematics · in development
Vecquan. Mastery, modeled.
Vecquan treats every solved problem as a data point. It classifies your errors, models what you'll remember and when you'll forget it, and schedules exactly the practice that moves your score.
Inside the app
Practice with a memory model.
Retention decays predictably — so Vecquan schedules each review to land just before it drops below the threshold.
trig identities · retention model
- Logs problem attempts with time, topic, and outcome — building a per-concept mastery profile.
- Schedules reviews on a modeled forgetting curve, so practice lands just before retention drops.
- Advises before a test with the highest-leverage topics — and after it with what the errors actually were.
| concept | mastery | retention | next review |
|---|---|---|---|
| quadratics | 0.92 | 0.88 | in 6d |
| trig identities | 0.74 | 0.61 | tomorrow |
| limits | 0.58 | 0.49 | today |
mastery profile · review queue ordered by projected retention
Error decomposition
A wrong answer is three different problems.
Every miss is classified — because the fix for a concept gap is nothing like the fix for time pressure.
CLASS 01
Concept gap
The underlying idea isn't there yet. Vecquan routes you back to foundation problems on that concept before re-testing it.
CLASS 02
Procedure slip
Right idea, wrong execution — a dropped sign, a skipped step. Prescription: short high-rep drills, not re-learning.
CLASS 03
Time pressure
Correct when untimed, wrong on the clock. Prescription: timed sets at gradually tightening pace targets.
The Vecqor method
Formulas, not folklore.
Advice in most training apps is editorial. In Vecqor apps it is the output of an equation you can inspect — every coefficient named, every score decomposable back to your own logged data.
The pipeline
One loop, four stages.
The domain changes — the pool, the problem set — but the mathematics of getting better doesn't.
STEP 01
Log
Capture real sessions with minimal friction — race splits, practice effort, problem attempts. No estimates, no vibes.
STEP 02
Assess
Score the data against your own baseline: variance from plan, consistency of effort, integrity of the record itself.
STEP 03
Model
Published formulas project your next performance — distance conversion, fatigue decay, forgetting curves — tuned by your log.
STEP 04
Advise
The model condenses to one clear instruction, delivered right before or right after the moment it matters.
Scoring philosophy
Discipline is measurable.
Every Vecqor app scores you the same way: how precisely you executed the plan, how consistently you trained, and how honestly you logged it.
Mastery = Ppacing·0.50 + Ctraining·0.30 + Icalibration·0.20
The Consistency Index: a weighted score that rewards racing to plan, training regularly, and never cherry-picking your data. A 72-hour pipeline lock keeps every calibration accountable to an outcome.
Your score maps to a public tier — earned by discipline, not talent. The same scoring philosophy carries into every Vecqor app.
Consistency Index weighting
Pacing precision · 50%
Training compliance · 30%
Calibration integrity · 20%
- < 50% — Uncalibrated State
- 50–69.9% — Regulated Status
- 70–89.9% — Precision Metric Tier
- ≥ 90% — Elite Kinematic Tier