PACERIFT
FIELD-READY RIDE INTELLIGENCE ANDROID / 01

Your ride.
Decoded.

A focused telemetry cockpit for the roads you ride. Capture speed, route, acceleration and braking with the phone already in your pocket.

₹0 always freeOFFLINE by design0 ads · 0 subscriptions30+ countries reached
GPS + 6-AXIS PHONE IMUBUILT FOR THE RIDE HOME
Pacerift recent rides screen
Pacerift lifetime ride statistics screen
Pacerift live ride tracking screen
LIVE RIDE TRACKING GPS · 12 SATELLITES
NO CLOUD REQUIREDYOUR DATA STAYS YOURSBUILT FOR REAL ROADSNO CLOUD REQUIREDYOUR DATA STAYS YOURS
01 / THE SYSTEM

Everything you need.
Nothing in the way.

Turn a phone into a clear view of your ride. Record first; make sense of the details after you park.

⌁
01 — POSITION

Ride, mapped.

Follow your route with GPS traces and a speed profile that smooths the noise without losing the shape of the ride.

VELOCITY TRACE00:42:18
↘
02 — DYNAMICS

Feel the forces.

Review acceleration, braking load and peak G after every session.

−0.72G / BRAKING
◒
03 — INSIGHT

Your riding DNA.

See how your pace, smoothness and ride patterns shape your own profile.

⌂
04 — MACHINE

Your bike, on file.

Choose from a garage of 4,000+ motorcycle specifications, or add a custom build.

Browse the garage ↗
Pacerift ride analytics screen
SESSION ANALYTICSAFTER THE RIDE
REAL RIDER FEEDBACK

Out on the road.
Back with receipts.

These are public rider reviews, shown with their names and dates. See the current rating and more feedback on Google Play.

View Pacerift on Google Play ↗
PUBLIC RIDER REVIEW · JULY 7, 2026★★★★★
“Best app for tracking and breaking my own records! The interface is super clean, and the features are genuinely useful. I haven’t seen an application like this before. Highly recommended!👌🏻”
Shubhangi Sharma
PUBLIC RIDER REVIEW · JUNE 19, 2026★★★★★
“Finally, a motorcycle tracking app built for riders. Accurate ride stats, beautiful share cards, and a great way to keep a record of every journey. Simple, reliable, and genuinely useful.”
Yash Chaudhari
03 / THE SIGNAL PATH

Clean signal.
Honest numbers.

Phone sensors are imperfect. Pacerift processes GPS and inertial motion on-device to make the useful signal easier to read.

RAW SENSOR INPUT FILTERED MOTION TRACE
01 / INPUT

GPS + IMU

Location, acceleration and rotation arrive as time-stamped sensor samples.

02 / CLEAN

Reject spikes

Robust outlier checks help prevent isolated bumps from dominating a ride summary.

03 / ALIGN

Separate motion

Orientation-aware processing estimates useful linear motion in the phone reference frame.

04 / REVIEW

Read the ride

Inspect speed, route and force trends after the session, even when recording offline.

04 / THE GARAGE

4,000+ machines.
One familiar ride.

Find your motorcycle in a broad factory-spec catalog spanning sport, naked, touring, cruiser and adventure categories. Your ride data stays tied to your machine.

SPORT ›NAKED ›ADVENTURE ›CRUISER ›
Pacerift ride summary share card
FACTORY
SPEC INDEX
4,000+
04 / TELEMETRY LAB

Corner speed.
Made tangible.

See how speed and corner radius shape lateral acceleration and an idealized lean estimate. Adjust either control; the readout updates instantly.

Open the full Telemetry Lab ↗
TURN MODELEDUCATIONAL ESTIMATE
LATERAL ACCELERATION0.91 g
IDEALIZED LEAN42.3°

Ideal coordinated-turn model only. Not measured vehicle data or a riding recommendation.

OPTIONAL HARDWARE
MORE ACCURACY / MORE ANALYTICS

Meet the
Pacerift Compact Pod.

The phone app tracks linear acceleration and GPS speed through custom low-pass filtering. The optional chassis-mounted Pod takes vehicle dynamics further: a hard-mounted 6-axis IMU and edge firmware decouple chassis motion from phone vibration, targeting more accurate lean measurement and sector-by-sector braking analytics over BLE.

6-AXIS IMUEDGE FIRMWAREBLE LINK
POD / EARLY ACCESS● OPEN

First in the queue.

Get product updates about the Pacerift Compact Pod.

OPTIONAL HARDWARE · APP WORKS ON ITS OWN
06 / GOOD TO KNOW

Clear answers.
Before ignition.

Does Pacerift work offline?+

Ride recording is designed to work offline. GPS and device sensors provide the core ride data; an internet connection is not required to record a session.

Is there a subscription or advertising?+

Pacerift is free to use, with no subscription paywall and no display advertising.

Can a phone measure true motorcycle lean angle?+

A phone can estimate motion, but a handset is not a chassis reference. Vibration, mounting and centripetal acceleration limit reliable absolute lean measurement. The hard-mounted Pacerift Compact Pod is designed for direct chassis sensing.

Does it upload my ride data?+

Pacerift is built around on-device ride recording and local data privacy. No cloud account is required to start recording.

[ 🛠️ Technical Telemetry & Signal Engineering Specs ]EXPAND SPECS +

Engineering notes for riders who want to understand how GPS and inertial signals become a readable ride profile. These are processing concepts, not a claim that a phone replaces calibrated chassis-mounted motorsport instrumentation.

01 / LOW-PASS

Butterworth smoothing

A low-pass Butterworth response attenuates high-frequency noise while retaining the ride-scale motion that matters. For order n and cutoff fc, the squared magnitude response is:

|H(jω)|² = 1 / (1 + (ω / ωc)2n)

Cutoff selection trades noise rejection against transient response. Filtering should preserve acceleration and braking events rather than over-smooth them.

02 / ROBUST OUTLIERS

Hampel rejection

For samples in a local window, compute the median m and median absolute deviation (MAD). Flag an outlier when:

|xᵢ − m| > k · 1.4826 · MAD

The scale factor makes MAD comparable to standard deviation for normally distributed noise. A flagged sample can be replaced with the window median or marked for downstream handling.

03 / FRAME ALIGNMENT

Quaternion rotation

Orientation quaternions rotate measured acceleration from device coordinates into a chosen reference frame:

aworld = q ⊗ adevice ⊗ q⁻¹

Gravity compensation and axis alignment help estimate linear acceleration. Orientation drift and phone placement remain sources of uncertainty.

04 / VEHICLE DYNAMICS

Useful relationships

Longitudinal acceleration is estimated from velocity change over time. For a turn at speed v and radius r, lateral acceleration is:

alat = v² / r  G = a / 9.80665 m·s⁻²

An ideal coordinated-turn lean estimate follows tan(θ) = v²/(r·g). Phone-only estimates are affected by mounting, vibration, road camber, tire dynamics and sensor drift.

PHONE SENSORS SUPPORT RIDE ANALYSIS · THE OPTIONAL PACERIFT POD IS DESIGNED TO ADD DIRECT CHASSIS MEASUREMENT

READY WHEN YOU ARE

Make every ride
count.

FREE · OFFLINE READY · ANDROID