The Problem:
Building AI-powered Bubble apps is incredible, but cost tracking is a nightmare. I’m running multiple apps with OpenAI integrations, Claude API calls, image generation APIs, plus Bubble hosting - bills are unpredictable and scattered across platforms.
What I Built:
A comprehensive AI cost tracking dashboard that consolidates spending from 50+ platforms including all major APIs commonly used in Bubble apps.
Bubble Implementation:
- Built the frontend/dashboard as a separate React app
- Uses Bubble’s Data API to pull usage metrics from my apps
- Webhook integrations to track API calls in real-time
- Custom workflows to attribute costs per Bubble app/user
Key Features for Bubble Developers:
Track OpenAI, Claude, Replicate, and other AI API costs
Cost attribution per Bubble app
User-level cost tracking for SaaS apps
Budget alerts before overspend
ROI analysis per AI feature
The Wake-Up Call:
One of my Bubble apps had an AI chat feature that was costing $12 per active user monthly. I had no idea until building this tracker - now I can optimize or adjust pricing accordingly.
For Fellow Bubble Developers:
How do you currently track AI costs in your apps? Do you factor API costs into your pricing models?
Demo: https://www.aicosts.ai
This has been essential for making my Bubble apps financially sustainable. Happy to share integration details if anyone’s interested!