Launching today
Subterranean

Subterranean

Build complete apps with AI

1 follower

Subterranean is the first purpose-built platform for building complete, full-stack web applications that are ready for production. Collaborate with a team of agents to integrate your database, backend, UI and other built-in systems together in one place.
Subterranean gallery image
Subterranean gallery image
Subterranean gallery image
Subterranean gallery image
Subterranean gallery image
Free Options
Launch Team / Built With
AssemblyAI
AssemblyAI
Build voice AI apps with a single API
Promoted

What do you think? …

Gordon Wu
Maker
📌

Hey builders!

Super excited to formally launch our new AI app building tool Subterranean! 🚀

What does it do?

Subterranean is an AI platform for building complete, production-ready web apps with no code. Our platform leverages a team of specialized agents and built-in systems to integrate every component you need before you launch your app. This includes UI, databases, backends, AI features, and many other tools in development (like auth, payments, file storage, etc.).

Who is this for?

Developers and builders are now heavily using AI tools in many forms like pair programming and autonomous agents. It's incredibly powerful for prototyping ideas, but we hit a wall when trying to ship a real SaaS product. Data persistence, API integrations, authentication, and deployment remain major obstacles that Subterranean will solve.

How do I get started?

Signing up and building is free, all you have to do is register and create your first project from the home page. From there, you can chat with the Assistant to start building all the components of your full-stack app and interact with it directly using the split screen view.

What else are we working on?

We're talking to many early adopters which include founders building SaaS, business app users, or tech and AI enthusiasts to see what features and modules to add. The roadmap currently includes built-in auth, payments by integrating with Stripe, file storage, LLM embeddings/vector search, as well as improvements to agent performance in general.

I'm super grateful for your interest and hope to start building together!