Tier 2

Build Postgres apps with AI

Orbit generates fullstack apps on Postgres via Supabase — the relational database your spec describes, with RLS, realtime, and the ability to run SQL directly from the panel.

Postgres AI Builder

Postgres is the engine under every Orbit fullstack app. The harness writes your schema as idempotent SQL, scopes it to an app schema, and lets you query live tables in the Orbit Cloud panel.

In plain English

Postgres is the world's most trusted database. Every Orbit fullstack app runs on it — with real tables, real queries, and a panel where you can run SQL directly.

Postgres AI Builder — build, chat, research, and create media in one AI workspace on Orbit
Orbit generates fullstack apps on Postgres via Supabase — the relational database your spec describes, with RLS, realtime, and the ability to run SQL directly from the panel.

How it works in Orbit

Postgres is the database under Orbit's fullstack builds. When you ask for Postgres, you get real tables, real constraints, and real row-level security — provisioned automatically on Supabase's managed Postgres.

Real Postgres, not a mock

Orbit doesn't fake the backend. Tables are created with actual SQL, constraints and indexes included, and the app connects to a real database you can inspect.

  • Real SQL DDL
  • Constraints and indexes
  • Inspectable live data

Row-level security baked in

Each table ships with baseline RLS policies so anonymous users can't read private rows. Security isn't an afterthought — it's part of the generated schema.

  • Baseline RLS policies
  • Scoped to app schema
  • Per-app isolation

Query with power

Joins, aggregations, JSON, and full-text search are available because it's Postgres. Orbit wires query tools into the Cloud panel for both engineers and product teams.

  • Full SQL in the panel
  • Joins and aggregations
  • JSON and full-text search
  1. Request Postgres

    Spec a data-backed feature.

  2. Tables get created

    Real DDL with constraints and RLS.

  3. Inspect the data

    Browse rows in the Cloud panel.

  4. Query freely

    Run SQL against the live database.

The challenge

Try it yourself

Run this one on a competitor first — then on Orbit. Same prompt, and keep score.

Build

Try this one elsewhere first.

Build the same data-heavy app on two builders and run a query against both backends. Compare who gives you real SQL access.

Research

Ask a research tool to go deep on one topic.

Then ask Orbit. Compare how many rounds it runs, how many sources it actually reads — we target 65+ — and whether every claim in the final report has a link attached. Bring a bigger coffee mug.

Chat

Ask a plain chatbot the same question.

One just talks. Orbit's agent actually searches the web, runs code, reads your files, and comes back with something done. Compare how many tabs you opened and how many are still open when you're finished.

Image & video

Generate the same image, then edit it.

Ask two tools for the same hero shot, then ask both to recolor it, fill in the background, and animate it. Compare who hands you a first draft and who keeps refining in the same conversation.

150+

models routed per task

1h

cloud sandbox sessions

25

tool calls per chat turn

8–14

deep research rounds

What you can do with Postgres AI Builder on Orbit

Schema from your spec

Tables, indexes, and relations generated as idempotent SQL.

Baseline RLS

Row-level security policies created with every table.

Live data panel

Browse tables, run SQL, and manage migrations from Orbit Cloud.

Compare sibling stacks

Frequently asked questions

What Postgres features does Orbit provision?

App-scoped schemas, tables with baseline RLS, PostgREST registration, realtime subscriptions, storage, and edge functions — all on a shared Supabase Postgres pool.

Is the database shared or dedicated?

Apps share a managed Postgres pool but get isolated schemas with per-app RLS. For high-traffic products, a dedicated project is available.

Is the database shared across apps or dedicated?

Each Orbit app gets its own Postgres schema with row-level security, so your data is isolated per workspace. You manage tables, rows, and queries from the Cloud panel without touching shared infrastructure.