Extension Technology

This case study explores how we built a comprehensive gym and fitness tracking application as a personal project that has since been adopted by multiple users.

Project Background

The Gym Results Tracker started as a personal project to solve our own need for tracking workouts and progress. We wanted something that would be simple to use during workouts but powerful enough to show progress over time.

Development Approach

We built the entire application using v0 and ChatGPT, which allowed us to rapidly prototype and iterate on features. This AI-assisted development approach meant we could focus on the user experience and functionality rather than getting bogged down in implementation details.

Key Features

The application includes several key features:

Workout logging with custom exercise database
Progress visualisation with charts and graphs
Achievement system to gamify the fitness experience
Personal best tracking
Mobile-first design for in-gym use

User Adoption

What started as a personal project has now been implemented by multiple users who use it daily for tracking their fitness results. The feedback has been overwhelmingly positive, with users particularly appreciating the simplicity and visual progress tracking.

Challenges and Solutions

One significant challenge was designing a flexible exercise database that could accommodate a wide variety of training styles. We solved this by creating a modular exercise system with customisable parameters and equipment tags.

Lessons Learned

This project reinforced several important principles:

Building for your own needs often results in more intuitive products
Flexibility in the data model pays dividends as requirements evolve
AI-assisted development can dramatically speed up the creation process
Mobile-first design is essential for applications used in active environments

The Gym Results Tracker continues to evolve with new features and improvements based on ongoing user feedback.