BuddyRyde
A community carpooling app that connected verified local drivers with riders in under a minute.
- ridesharing
- carpooling
- geolocation
- on-demand
- marketplace

A real-time safety companion that let solo travelers share live routes and reach watchers in seconds.
Project Snapshot
The Challenge
Before approaching iMobdev, the client had validated a simple but powerful insight: people traveling alone at night, in unfamiliar cities, or through areas that felt unsafe wanted a way to let trusted people know exactly where they were, in real time, without the friction of a phone call. Existing options were blunt instruments — a static "share my location" link, a generic emergency SOS button, or simply texting a friend "on my way, will call you when I land." None of these gave a continuously updated, visual picture of a journey in progress, and none made it easy to loop in multiple "watchers" at once for a single trip.
The founding team had wireframes and a name, but no working product. Their core pain point was translating a felt need — "I want someone watching over me on this trip" — into a live, dependable mapping experience that worked across transit modes (bus, car, bike, walking) and didn't drain battery or fail silently on subway or spotty rural connections. Every day without a shipped app meant lost ground to word-of-mouth momentum they had already started building through early landing-page signups.
A secondary concern was trust and adoption friction. Asking someone to grant continuous location access and invite friends as "watchers" is a big trust ask, and the team knew a clunky first-run experience or unreliable tracking would kill retention immediately. They needed the onboarding, the "Send Flare" flow, and the live-tracking map to all feel effortless and reassuring rather than clinical or alarming.
On the technical side, the team had no existing codebase, no backend, and no experience standing up real-time location infrastructure at scale, so this was a ground-up build under real time pressure to reach app stores before investor check-ins.
Our Solution
iMobdev proposed a "journey as a first-class object" architecture: every trip a user starts — called a Flare — is a discrete, trackable entity with a route, a transport mode, a start and end point, and a list of invited watchers, rather than a raw location ping. This let us build clean state machines for "planning," "active," and "ended" journeys, which simplified both the client UI and the backend logic considerably.
On the frontend, we built native-feeling iOS and Android clients on top of Google Maps SDKs, with a lightweight, card-based interface that mirrors what's in the product today: a "Send Flare" screen where users set an "I'm at" and "Heading to" address, pick a transport mode (bus, car, bike, walking) via a simple icon tab bar, and select watchers from their contacts or app friends with a single tap on circular avatar buttons. We deliberately kept color usage minimal and purposeful — the signature burnt-orange accent marks the traveler's live pin and primary calls to action like "Send Flare," while green is reserved for the destination marker and confirmed routes, giving users an instant, low-cognition read of trip status.
For the real-time layer, we built a Node.js location service backed by WebSocket-driven pub/sub channels per active Flare, so watchers see the traveler's pin move on the map with sub-second latency without polling. Firebase Cloud Messaging handles watcher invites and arrival/delay notifications, and a battery-aware location sampling strategy (adaptive GPS polling intervals based on transport mode and movement speed) kept background drain low enough for multi-hour trips. Facebook and native contacts integration powered fast friend-adding for the watcher list, addressing the onboarding friction the client was worried about.
We delivered in three phases — core journey creation and live map, watcher invitations and push notifications, then saved routes, favourite locations, and a travel-history profile — so the client could start closed beta testing with real watchers as soon as the core loop worked, rather than waiting for the full feature set.
The Impact
Flare launched on iOS and Android within the planned window and quickly became a genuine daily-use utility rather than a novelty download. Early cohort data showed over 70% of first-time senders returning to send a second Flare within two weeks, and average watcher response time (opening the live map after an invite) came in under 90 seconds. The adaptive location sampling kept battery drain low enough that users routinely tracked multi-hour trips without complaint, and the "Send Flare" flow's median completion time landed under 20 seconds from open to watchers notified. With a stable core experience live, the roadmap now turns toward smarter route-based safety alerts and deeper integration with public transit data.
Key Features
Start a live-tracked journey with route, transport mode, and watchers in seconds.
Watchers see the traveler's pin move in real time from start to destination.
Switch between bus, car, bike, and walking routes with one tap.
Add trusted contacts as watchers straight from Facebook or your phonebook.
Store frequent trips and favourite places for faster future check-ins.
Push notifications keep watchers informed of progress and arrival.
Traveler ends the Flare instantly once safely at the destination.
Screenshots
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“iMobdev turned a rough idea into a product that genuinely makes people feel safer on their commute — the live tracking just works, every time.”
Priya Anand
Head of Product, Flare
We don't retrofit AI; we design for it from day one — architecture, data, and UX.
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No hidden costs. Fixed-price or dedicated team models — you choose what fits.
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