From Potholes to Profiles: Community-Powered Alerts on MotoRoadies

The crisp morning air on Sunday, 20 Sept, was perfect for a ride, so Alex fired up his engine for what was supposed to be a quick, smooth journey. With his phone safely secured to the handlebars, the MotoRoadies app was silently humming in the background, mapping his route from 9:41 am to 10:01 am.

​Almost immediately, the pristine pavement gave way to a spine-rattling patchwork of potholes and gravel. Right at 9:41 am, the app's sensors detected the intense vibrations, quietly logging a "Rough road stretch" by taking 23 distinct readings over the next 3.0 kilometers. Alex held his grip tight, maneuvering through the dust, unaware that his phone was actively translating his bouncing suspension into valuable community data.

​The asphalt smoothed out briefly, though at 9:48 am, a few scattered jolts prompted the app to flag a "Low" severity possible rough road. Then came the real test. At 9:50 am, Alex hit a grueling, sustained section of broken tarmac. For a sprawling 4.5 kilometers, MotoRoadies worked overtime, capturing 40 separate readings to map the exact boundaries of this intense rough stretch. Eager to put the bad roads behind him once the tarmac finally cleared, he twisted the throttle a bit too aggressively to pass a truck, which the app caught as a "Moderate" harsh acceleration at 9:55 am.

​By the time he finally kicked his stand down, Alex had covered 10.4 kilometers in exactly 20 minutes. Opening his trip summary—which he later exported and shared with his riding group as 1000922267.jpg—he saw his ride earned an overall safety score of 68, rated simply as "Fair".

​But that summary screen was much more than just a personal riding grade. Because Alex braved that punishing route, MotoRoadies now possessed the exact coordinates, length, and severity of those broken roads. Going forward, whenever a fellow rider plots a weekend course through that same area, the app will synthesize Alex's data to build a predictive road profile. Long before their tires hit the gravel, an alert will flash on their screen, warning them to slow down and brace for the upcoming road conditions. Every bump Alex endured has been transformed into a smoother, safer ride for the next person, proving that on the open road, we all pave the way for each other.