Data-driven fitness app platform for top U.S. sports leagues
Designed and developed a cross-platform fitness platform that transforms wearable sensor data into actionable performance insights. We delivered the MVP in three months, expanded it into a full-featured platform with role-based workflows and AI-driven training recommendations, and continue supporting its long-term growth.
Business context
NNOXX Inc. developed an innovative wearable biosensor offering a holistic view of working muscles through real-time measurements of exercise efficiency, such as oxygenation and nitric oxide levels. The device is trusted by major U.S. sports leagues — including the NBA, MLB, NHL, and NFL — as well as fitness enthusiasts.
Project in facts
- Fitness
- USA
- Fullstack developer, React Native developer, QA engineer, UX/UI designer, PM, BA
- August 2022 – ongoing
- Dedicated team, web & mobile development, UX/UI design
- React, Tailwind CSS, HTML/HTML 5, Next.js, Jest, GraphQL, TypeScript, SendGrid
Challenge
With such a great tool for monitoring performance, the client lacked a smart health and fitness application that could gather and analyze real-time sensor data. They wanted to attract more users by integrating AI features to provide personalized recommendations on training intensity.
Deploying this software ecosystem required an engineering team with specific domain expertise in hardware-software integration and cloud scalability. They also needed to ensure the high-performance data standards expected by professional sports organizations.
Product goals
- Design an intuitive UX/UI from scratch according to the brand guidelines
- Create multi-role workflows (Athletes, Coaches, Managers) with strict data access control
- Integrate AI capabilities to provide personalized training recommendations based on biomarker analysis
Solutions
Together with the client, we identified five user types with distinct workflows and permissions, prepared user stories, and designed application prototypes.
In accordance with the design specifications, we delivered MVP within three months. It included core features such as team management, performance analytics, workout analysis, note management, and access control.
We continued expanding the platform based on stakeholder feedback and evolving business requirements. Our team implemented new features, integrations, and performance improvements. It took us 18 months to launch the full version of the app, and our work continues even today through ongoing technical support.
Multi-platform access
A unified, responsive experience across both web and mobile layouts
Tailored workflows
Custom dashboards for 5 distinct user roles
AI-Integrated guidance
Automated training corrections to help users safely manage loads and optimize performance
Data management
Seamless CSV export features for advanced external analytics and team reporting
Engineering approach
The platform was built with React, Next.js, TypeScript, and GraphQL on top of PostgreSQL to support a data-intensive application with multiple user roles and continuously evolving functionality. This technology stack enabled efficient handling of complex performance analytics and real-time data access. Special attention was given to handling sensitive user data.
On the UX side, the interface was designed around the client's brand guidelines. More than 40 screens were created with future growth in mind. NNOXX platform remains flexible to extend with new modules and integrations without major architectural changes.
Business impact
Result
Rubyroid Labs combined UX/UI design and ReactJS development to turn the client's concept into a scalable cross-platform fitness ecosystem.
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Full-featured platform in 18 months
Developed an all-in-one solution for multiple user groups, including advanced administration tools, CSV exports, and enhanced analytics. -
Unified multi-device experience
Designed and implemented a fully responsive architecture that provides seamless, real-time access to training data on any device (web and mobile). -
Data-driven training optimization
Built a robust system that combines wearable sensor data with advanced analytics, helping users make more informed training decisions based on muscle efficiency.
In every area, from business analyst to design to engineers to quality assurance, all Rubyroid Labs team members are top quality. I never have doubts about the level of work they produce.
Eric Letsche, Executive, NNOXX Inc 
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