Typebase: TypeScript backend with database and auth like Convex and Supabase

What it does

Typebase is a library that adds a backend layer to existing web applications. Developers define a PostgreSQL database schema, server functions, and authentication rules all in TypeScript files within a typebase/ folder in their repository. These server functions become callable from the frontend with full type safety—the types travel automatically between server and client over HTTP. The tool generates the necessary endpoints and client code without requiring manual API definitions.

Who it is for

Typebase targets full-stack developers building web applications who want to avoid writing SQL and database access policies. It suits teams already using TypeScript on the frontend and comfortable with that ecosystem. The focus on code-readable-by-AI suggests it is also marketed toward developers working with AI code generation tools in their workflow.

Pricing

The site does not show prices.

How it stands out

Typebase positions itself as a middle ground between Supabase and Convex. Like Supabase, it provides a managed PostgreSQL database and authentication without vendor lock-in to a proprietary database. Like Convex, it offers a development experience where server code lives in the same repository as the frontend and server functions are called with full type safety. The key differentiator is that authorization and business logic are written in TypeScript rather than SQL policies (RLS) or a proprietary rules engine. The homepage emphasizes that all code is plain TypeScript and Drizzle, making it readable by AI agents that may assist in development.

What a founder should check

A competitor should verify the actual hosting and deployment story—whether Typebase truly requires minimal setup compared to competitors, or whether hidden operational complexity emerges post-launch. Second, examine the switching costs if a user's schema or auth rules grow complex; evaluate whether staying within TypeScript constraints becomes painful versus using SQL's full power. Third, assess pricing pressure: if the service is free or low-cost now, understand the long-term monetization plan and whether early adopters face significant price changes as the product matures.

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