Blog
Coaching, doctrine, and what we are building.
Long-form pillar guides, technique deep-dives drawn from coaching rules, and founder notes on what we are building. The cluster is organised so each section serves a distinct reading intent rather than a chronological feed.
Pillar guides
Long-form anchor articles. One per content cluster pillar, each one the comprehensive answer a reader gets when they search the head term.
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Sim to real-life racing transfer
What carries over from sim training to real-world driving, and what does not. The mental model transfers; the seat-of-pants calibration does not.
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What is trail braking
How to measure trail braking in your own telemetry, the front-axle physics behind why it works, and the trace signatures that distinguish clean technique from a stab-and-lift release.
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Sim racing telemetry app comparison
Six tools across six dimensions. Which is the right tool for which workflow, and why the comparison universe sorts cleanly by persona rather than by feature checklist.
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Driver development plan: the framework
Diagnose, prescribe, execute, measure, adapt. Five framework verbs that close the loop on practice between sessions, run on whichever telemetry tool the driver already uses.
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Technique deep-dives
Coaching-rule deep-dives across the corner, the lap, and the stint. The trace physics behind one weakness shape per article, with the framework drill that fixes it.
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Late braking at T1: what your telemetry is saying
Three signatures in the brake-pressure trace that distinguish late-but-rotating from late-and-broken at Turn 1, and why peak-pressure timing is the leading indicator.
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Throttle pickup: smooth versus aggressive
When the corner radius asks for a smooth ramp from zero to full, and when it asks for stab-and-plateau. The traction-circle physics that decides which the trace should show.
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Apex speed: corner commitment, measured
Why minimum speed at the apex is a better leading indicator than fastest lap, and how the under-committer / over-committer distinction sorts the lap-time deficit into two opposite fixes.
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Consistency over raw pace
Why race results depend on the median lap, not the fastest. The standard-deviation discipline, the spike-pattern failure mode, and how to measure consistency from session data.
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Tire management in endurance racing
How to read the leading indicators of tire degradation in the brake-pressure trace eight laps before the lap-time signal arrives, and why endurance amplifies the consistency asymmetry.
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Founder notes
Positioning, doctrine, scope, and build-in-public transparency. What LAP is, what LAP is not, and the monthly cadence the project reports under.
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Why we are building LAP, not another MoTeC clone
MoTeC is a trace-reading tool for the engineer between driver and data; LAP is a coaching surface for the driver alone with the data. The persona-mismatch positioning argument.
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The sim-to-real gap: an honest look
Shapes transfer between sim and real, magnitudes do not. The doctrine claim made concrete with the four magnitudes that will not transfer: tire feel, G-force, fear, weather adaptation.
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Designing coaching that drivers actually follow
A followable prescription has anatomy: weakness shape, drill name, success criterion, review cadence. Why "be smoother on entry" is observation-shaped and not prescription-shaped.
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The pre-launch month in numbers
First of a recurring monthly build-in-public update. The numbers attached, including the unflattering ones: 19 ADRs, 4 pillars, 8 supporting posts, no paying customers yet.
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What we are NOT building, and why
Six exclusions documented in public — language-model coaching, real-time in-cockpit coaching, racing-team-engineer tooling, gamification, setup widgets, and prescriptions when the rule library cannot diagnose.
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Introducing LAP — public beta on 2026-07-23
Launch-day note from the founding team. What LAP is, what ships in public beta, what V1 adds in September, and the four commitments LAP refuses to relax — including the no-language-model-coaching one.
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