SportsWörld – Training, Performance & Endurance

Project Overview

With SportsWörld, I developed a modern web platform focused on fitness, endurance training and performance optimization. The goal was to create a central hub for structured training plans, high-quality blog content and practical nutrition guides.

👉 Visit the live website

Idea & Motivation

Many fitness platforms lack structure or focus too much on monetization. SportsWörld was built to provide free, structured and useful content for both beginners and advanced athletes.

• Structured training plans
• Clear explanations of complex topics
• Focus on long-term performance

Technical Implementation

Architecture

• Eleventy (Static Site Generator)
• TailwindCSS with Darkmode
• Docker (nginx container)
• Nginx Proxy Manager (SSL + routing)
• Umami Analytics (self-hosted)

This setup ensures high performance, security and scalability.

Contact API

A custom backend API was developed for handling contact form requests.

• Node.js + Express
• POST /contact endpoint
• Custom redirect logic
• Dockerized deployment

The separation between frontend and backend improves maintainability and scalability.

Deployment

The application runs in a real production environment using Docker containers:

• Frontend container (nginx)
• Contact API container
• Analytics container

Reverse proxy and SSL are handled via Nginx Proxy Manager.

Features

• Training plans (Running, Triathlon, Calisthenics)
• Blog articles on performance & nutrition
• Darkmode UI
• Contact form with API
• Privacy-friendly analytics

Concept

SportsWörld focuses on structured and sustainable training:

• Long-term development
• Scientific approach
• No hype or shortcuts

Learnings

• Real-world deployment with Docker
• Reverse proxy & networking
• Frontend & backend separation
• Debugging production issues

Future Plans

• AI-based training recommendations
• More content & guides
• Mobile optimization

Conclusion

SportsWörld combines modern web development with meaningful content. It reflects my interest in AI, performance optimization and scalable systems.