Building Sportlingo: A B2B Coaching Platform

At Next Play Games, I had the opportunity to lead the development of Sportlingo, a comprehensive B2B coaching platform. This was one of the most challenging and rewarding projects I've worked on.

The Challenge

We needed to build a platform that would help coaches manage their teams, create training content, and leverage AI to enhance their coaching capabilities. The platform needed to handle:

• Team Management: Coaches needed to organize players, track progress, and manage schedules
• Content Creation: A system for creating and managing educational content
• AI Integration: Intelligent features to help coaches with lesson planning and player analysis
• Payment Processing: Subscription management with Stripe

Tech Stack

After careful consideration, we chose:

• Frontend: React with TypeScript and Vite for fast development
• Backend: Supabase for authentication, database, and edge functions
• Payments: Stripe for subscriptions and webhook handling
• AI: OpenAI API for intelligent coaching features

Key Technical Challenges

1. Stripe Integration

Implementing Stripe was more complex than expected. We had to handle:

// Webhook handling for subscription events
async function handleStripeWebhook(event: Stripe.Event) {
  switch (event.type) {
    case 'customer.subscription.created':
      await activateSubscription(event.data.object);
      break;
    case 'customer.subscription.deleted':
      await deactivateSubscription(event.data.object);
      break;
    // ... more cases
  }
}

2. AI-Powered Features

We built an automated fine-tuning pipeline that retrains our GPT-4o mini models based on conversation data:

• Weekly automatic retraining
• Triggered when 50+ new conversation records are collected
• Supabase Edge Functions for the pipeline automation

3. Database Migrations

One of the trickiest parts was managing Supabase migrations between development and production environments. We had to carefully plan our schema changes to avoid data loss.

Lessons Learned

1. Start with a solid architecture - Planning the data model upfront saved us countless hours
2. Stripe webhooks are critical - Don't rely on client-side confirmation alone
3. AI features need guardrails - Always validate and sanitize AI outputs
4. Test with real data - Edge cases only appear with real usage patterns

Results

The platform is now actively used by coaches, helping them save time and improve their training programs. Leading this project taught me invaluable lessons about building production-grade applications.

This project was built during my internship at Next Play Games Inc.