Automatic Cycling Detection App Icon

Automatic Cycling Detection

Health & Fitness • Gabriel Gautron
4+ v1.10.35 Recorded price: Free App Store →
★★★★★
★★★★★
(42 App Store ratings)
IPA Analysis
Technical Specs
Bundle ID org.name.biketrac
Version 1.10.35
App Store Size 46.98 MB
Minimum iOS 15.1
Devices iPhone, iPad, iPod touch
Catalog release date 2022-09-15
Latest recorded version date 2025-06-27
Features & Support
Advisory 4+
Languages (1)
EN
Top In App Purchases
No In App Purchases Listed

Preview

Automatic Cycling Detection screenshot 1 Automatic Cycling Detection screenshot 2 Automatic Cycling Detection screenshot 3 Automatic Cycling Detection screenshot 4 Automatic Cycling Detection screenshot 5

Description

The only app that automatically detects and records your bike rides. Simply the best bike tracker, 100% free. Perfect for daily commuting and commuters. Stats and data : Main statistics: distance, speed, elevations, calories GPS routes / tracks displayed on a map Social - Connect to other cyclists Green - Get aware of your carbon footprint, with CO2 saved when you’re cycling. Unlike other sport and fitness applications such as Strava and Komoot, Social Ride is: - 100% free - Includes automatic detection and recording of your bike rides. Save, log your rides! ----- Social Ride works with all biking activities: - Daily trips: commuting - Sport: cycling, road bike, mountain bike, cross country, BMX - Bike journeys, bike holidays The app is the perfect companion for any cyclist riding any bike: - Classic bike: Btwin, Van Rysel, Triban, Décathlon, Elops, Rockrider, Brompton - Cargo bike: longtail, Yuba, Tern, Omnium, Bullit - Connected electric bikes: Van Moof, Cowboy, Cow boy, Angel, Dance - Road bike: Trek, Giant, Specialized, Lapierre, Canyon, Cannondale, Pinarello, Cervelo, Merida, Bianchi, Willier - Mountain bikes: on track, off track, single track - Fixies and single speed : Marin, Bombtrack, Cinelli, Aventon Social Ride is also compatible with all Self service bikes (SSB), such as Velib in Paris, Velov (vé’lov) in Lyon, Véloose (VéloToulouse) in Toulouse, v’lille, v3 in Bordeaux, Vélo bleu (vélobleu) in Nice, levélo in Marseille, vélomagg in Montpellier, Velhop in Strasbourg, and Vélolib, Vélo'+, Donkey Republic, Velam, VéloCité, Vélo'V, VélOstan'lib, Bicloo, Cy'clic, LE vélo STAR, PBSC, PubliBike V1, Yélo, Optymo, C.vélo', Vélocéa, Velopop'. . Don’t hesitate to stop using expensive electric scooter services such as Lime, Dott, Tier, Lime, Wind, Bird, Flash, Jump, Bolt or Tier and join the bike revolution with Social Ride! — With the next iterations, the app will become: More practical - With new features of itineraries and navigation, to make you use the nicest and most secure cycle paths and cycle lanes. More than a clone of Strava, Maps, Citymapper or Geovelo with its automatic recording, Social will soon offer a dark mode, and a map of bicycle parkings and bike racks. More connected to your devices - GPS, tracking devices and smart watches: Garmin, Fitbit, Wahoo, Apple watch, cardio belt, power meter More connected to your health applications: - Apple Health, Strava, garmin, Décathlon More precise: - With advanced metrics such as power (watts), cardiac frequency (cardio) to take the most out of each ride! Social Ride : le meilleur compteur vélo kilométrique est aussi disponible en français ! Don’t wait any longer: join the bike movement on Social Ride!

What's New

Version 1.10.35 2025-06-27
Fixes a bug in account deletion

Technical Analysis

Package Overview Basic metadata
Bundle ID org.name.biketrac
Current Version 1.10.35
Minimum iOS 15.1
Package Size App Store Size
Package Metadata 0 / 73 version records
4.6 / 5.0 (37 ratings)
Detailed binary, privacy manifest, framework, and Info.plist results have not been indexed for this package yet. The verified App Store and archive metadata above remains available.

Known Version Records

0 version records with stored package metadata • 73 known version records

Stored metadata does not guarantee a package is currently available to download.

Archived versions of Automatic Cycling Detection
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