Railway and Render are great. Here's why I built something different anyway.

I want to be upfront: Railway and Render are solid products. If you're a developer who deploys apps manually and wants a good experience, either of them is a fine choice.

I built NEXUS AI for a different use case.

The shift I'm betting on: a growing share of apps are being generated by AI tools (Claude Code, Cursor, v0, Bolt, Lovable). The developer's role is moving from writing code line-by-line to directing an agent that writes the code, and then needing that code shipped.

For that workflow, the existing platforms have a gap:

They don't talk to your AI agent. Railway and Render have no MCP support. Your Claude or Cursor agent can write code, but it can't deploy it, check logs, back up the database, or roll back a broken deploy. You have to switch contexts every time.

They don't do full-stack in one operation. Most platforms deploy containers. You add a database separately. You configure workers separately. Storage is another step. NEXUS AI deploys the whole stack together: app, database, workers, buckets, volumes, all connected, in one operation.

They weren't designed for AI-generated code specifically. AI tools generate apps that assume infrastructure: they reference DATABASE_URL, they expect Redis to be on an internal hostname, they assume S3-compatible storage exists. NEXUS AI's deployment model matches those assumptions out of the box.

I'm not trying to replace Railway for developers who love it. I'm building for the developer who generated their app in 45 minutes with Claude and wants to ship it in the same session, with their agent handling the ops loop.

That's a real use case. It's growing fast. And I think it deserves a platform built specifically for it.

nexusai.run if you want to try it. Free tier, no credit card.