rakkas-realworld VS supabase

Check out the updated Rakkas RealWorld Demo to see how the same full-stack application is deployed on Vercel, Netlify, Cloudflare Workers, and Node; all connected to the same Postgres database hosted on Supabase. In serverless versions, authentication requests are proxied to the Node server because CPU time limit may be too low to allow secure password hashing. They also use the Prisma data proxy for accessing the database while the Node server uses Prisma directly.

There is also a RealWorld port (Rakkas implementation of the RealWorld specification), a simple but complete fullstack application demonstrating how to approach building a REST API, accessing your database (via Prisma), handling authentication, testing, and more.

It also served as a test bed for establishing Rakkas best practices: Session management, authentication, unit testing, API testing, end-to-end testing, data validation, database access, and many other things that need to be done in a real world application has been tackled. See the github repo for a more in depth explanation of how everything works.

It was a great experience using Supabase’s rock-solid PostgreSQL database for this app. The DX around that product is phenomenal: viewing and managing the DB data was a lifesaver when you don’t want to craft your own admin panel from scratch.

I didn't really give much thought as to which backend I would use. I already had 2 projects in Supabase (BOXCUT & MineWork), but also a few projects in Firebase too. I was more concerned at the time at actually building the product.

Sign up for SupaBase: Head over to SupaBase and sign up. Create a new workspace and project with your preferred names.

Setting up Supabase Create a new Supabase project, and get the connection string for the database from settings > database.

Supabase (start for free)

Built with Supabase, Astro, Unreal Speech, Stable Diffusion, Replicate, Metropolitan Museum of Art

Supabase will be used for storing article data in the database and the cover image of the article in storage. Chakra UI will be used to provide style to the elements. By using both, we can build the blog with ease.

For AutoRepurpose, I opted for Supabase as the backbone of the backend. It has reliably supported Penelope AI, which garnered over 15k users in 2022 without any issues.

Semantic search demo

1. Create a new Supabase project: Visit Supabase and create a new project.