// REAL RIDERS · REAL PROBLEMS

Real use cases

Five concrete scenarios of riders using LapSense to solve a specific problem. No generic stories, no stock photo storytelling.

5 archetypes · real KPIs · zero marketing

// CASE_01

TRACKDAY_AMATEUR

Time recovered: -0.34slap
Sessions needed: 1track day
Bike mods required: 0stock

The amateur trackday rider losing time at Tosa

// Rider

Marco, 38 — Aprilia RS660

Problem

Regularly rides at Cremona, Vallelunga, Misano with a group of friends. Feels he could go faster but doesn't know where he's losing time. Sector 2 (Tosa-Variante Alta) is the weak spot: always running long at apex.

How LapSense solves it

LapSense tells him in exact numbers where he's leaving time on the table: 18m past the optimal brake point, 87 km/h at the kerb vs 94 on his best lap. The AI briefing hands him 3 concrete actions for the next lap, prioritised by impact.

// CASE_02

INSTRUCTOR

Students per session: 8+
Data-driven debrief: 100%
Avg time recovered: 1.2s/ 1 session

The instructor who wants to teach with data, not 'brake earlier'

// Rider

Andrea, 51 — federal track school instructor

Problem

Manages 8 students per session. When he says 'you're long on the brakes' or 'open the throttle earlier' after a session, the student can't see objectively by how much. The debrief stays in feelings — hard to repeat, hard to teach.

How LapSense solves it

Every student wears a LapSense. At session end the instructor opens overlaid laps, sector splits, apex-speed and trail-braking KPIs. The AI briefing gives a starting point the instructor enriches with hard-won experience.

// CASE_03

STREET_TO_TRACK

Untapped lean angle: 12°avg
Sessions needed: 2-3track day
Measurable progress: everyouting

The street rider stepping up to track

// Rider

Sofia, 29 — Yamaha MT-09, first track season

Problem

Did 4 track days last year. Realises the bike does far more than she can exploit but doesn't know which corner 'opens up' the most. Without data, every day is 'just go faster by instinct'.

How LapSense solves it

Data shows where the bike still has margin: 38° lean in T3 when she could reach 50°, 60% throttle out of corners when she could be at 90%. The system flags the corners worth focusing on without pushing her past her real limits.

// CASE_04

VINTAGE_PREP

Wiring required: 0wires
Bike compatibility: any
Pro export: CSV · ld · JSON

The pre-CAN-bus bike owner who wants telemetry

// Rider

Paolo, 47 — Ducati 916 SPS '99, track-prep

Problem

Vintage bikes and custom race prep don't have a modern ECU you can tap for data. Pro telemetry systems demand invasive wiring, dedicated sensors, team-grade budgets. Consumer alternatives stop at GPS + lap time.

How LapSense solves it

LapSense doesn't touch the bike. Straps to the fairing. IMU + GPS + 9-DOF sensor fusion derive lean angle, lateral accelerations, braking and throttle without tapping anything. Exports to MoTeC .ld so the data feeds his existing toolchain.

// CASE_05

RIDING_CLUB

Members tracked: 12club
Comparable events: sametracks
Avg group time: -2.1sacross season

The club comparing times on the same laps

// Rider

Track Riders Modena Crew — 12 active members

Problem

They run a private 'Imola Day' every year. They eyeball lap times, but the debrief boils down to 'you were quicker through Variante Alta, I was better at Acque Minerali'. Without shared data on the same track, paddock talk is just memory.

How LapSense solves it

Every member runs LapSense and pools the data at the end of the day. Joint comparison session: same track, same session, laps overlaid. Who sets the benchmark, who gains where, who loses where. Healthy rivalry becomes group progression.

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