Using Supabase for an AI SaaS Product
An AI SaaS application may start with one API request. But a real product quickly needs more. Users need accounts. Conversations need to be saved. Files may need to be uploaded. Usage may need to be tracked.
Store AI Conversations
PostgreSQL can store: User ID Conversation ID Messages Model name Created time Usage information This gives users a persistent history.
Add Authentication
Each account can have its own conversations and application settings.
Store AI Files
If your product accepts PDFs, images, or documents, Storage can keep those files separately from your database records.
Use Edge Functions
Sensitive AI provider credentials should stay server-side. An Edge Function can act as the secure layer between the application and an AI provider.
Add Realtime Features
Realtime can be useful for: Live notifications Shared AI sessions Team activity Processing status Collaborative interfaces
Track Usage
An AI SaaS product may need to record requests, tokens, models, or credits. This can help with billing and abuse prevention.
Hostwares currently provides Supabase PostgreSQL, Auth, Storage, Realtime, and Edge Functions within its self-hosted stack. That combination can provide a solid backend foundation for AI products.