FlowFeed is a high efficient application that predicts, in real-time, the rideability of trails in the Northwest Arkansas area. The app is web-based using React/NodeJS and leveraging AWS and Lambda functions for caching, performance, and scalability. The application’s back-end is a mix of data analysis and machine learning that we leveraged to build an algorithm to predict the impact, decay, and overall status of a trail. It was essential for long-term growth that the API layer of the application be scalable beyond our initial app delivery and allow for new partners to leverage (and ultimately pay for) the data we’ve collected and algorithms we’ve developed.

Flowfeed

Technical Approach

To support ongoing development and improvement, we utilized PowerBI for machine learning. This approach allows for consistent algorithm enhancement without the need to directly integrate, train, and maintain traditional machine learning models. Our expertise in project management, data analysis, UX/UI design, and React/NodeJS development has been instrumental in driving Flowfeed’s application forward.

Key Features

Our work with Flowfeed demonstrates our commitment to delivering high-quality, scalable solutions that meet our clients’ needs. Check out the Flowfeed website to see how we’re making a difference in the mountain biking community.