Now in private beta — join the waitlist

Turn ideas into production-ready apps.

MangoX is the AI fullstack system generator. From a single prompt: UI, backend, database, admin panel and RBAC — production-ready, not a prototype.

No credit card · 1 free project · MIT-licensed CLI

mangox.dev/builderlive

1 · Prompt

Build a B2B subscription billing dashboard with Stripe, role-based admins and audit logs.

Parsing intent…

2 · System graph

  • db.subscriptions
  • auth.rbac
  • admin.dashboard
  • api.billing

3 · App

→ deployed in 2m 14s

Trusted by teams shipping with MangoX

InboxlyStackpilotFormicaNorthwindQuantizeHyperbaseDrizzle LabsPylon AICasebenchFoundry.ops
InboxlyStackpilotFormicaNorthwindQuantizeHyperbaseDrizzle LabsPylon AICasebenchFoundry.ops
InboxlyStackpilotFormicaNorthwindQuantizeHyperbaseDrizzle LabsPylon AICasebenchFoundry.ops
InboxlyStackpilotFormicaNorthwindQuantizeHyperbaseDrizzle LabsPylon AICasebenchFoundry.ops
The problem

AI can already generate UI.

But a UI is not a product. Today's AI tools draw beautiful screens and stop there — no schema, no APIs, no admin, no auth. Founders are left with throwaway prototypes that look real and ship nothing.

  • Frontend-only output
  • No persistent data layer
  • No admin / no RBAC
  • Demo, not deploy
MangoX

We generate the whole product.

Schema-driven, agent-orchestrated, deploy-ready. MangoX writes the database, the APIs, the admin panel and the auth layer — then ships them to your cloud. One prompt. One real app.

  • Backend + REST/GraphQL APIs
  • Postgres schema, migrations, seed data
  • Admin dashboard with RBAC out-of-the-box
  • One-click deploy to your cloud

Live demo

One command. A real app.

Run a single CLI command and watch the agent loop scaffold the schema, generate the APIs, wire the admin and ship to a live URL — all under three minutes.

~/projects/crm
$mango create crm --prompt "Subscription billing for B2B SaaS, Stripe + RBAC + audit log"
Parsed intent · 4 entities · 12 endpoints · 6 admin views
Generated Postgres schema + migrations
Wired REST + GraphQL APIs with Zod validation
Provisioned admin dashboard with role matrix
Pushed to Vercel · neon for db · clerk for auth
https://crm-7f.mangox.app
ready in 2m 14s

Capabilities

Everything you need to ship a real app.

AI fullstack generator

Plain-English prompt → schema, APIs, admin and frontend. Agent loop reasons over your domain, not just your wireframes.

Schema-first

Postgres-grade schema, migrations and seed data — version-controlled and editable.

Auto admin panel

Every entity gets a CRUD admin with filters, search and audit log out of the box.

RBAC & SSO

Roles, permissions and SSO (Clerk, WorkOS, Auth0) wired before the first commit.

Deploy anywhere

Vercel, AWS, Railway or your own Kubernetes — MangoX outputs the IaC and the pipeline.

Under the hood

A complete system, generated.

Not just code — an architecture.

  • MangoX core
  • Postgres
  • REST + GraphQL
  • Admin panel
  • RBAC / SSO
  • Vercel / AWS
  • CLI

Every node is real, owned, version-controlled — not a vendor lock-in.

vs the field

Other tools draw the screen.

We ship the system.

V0

UI generator

Lovable

App builder

Bolt

Frontend agent

Cursor

AI dev tool

MangoX

AI fullstack system generator

Builders are talking

"Different category."

MangoX generated my entire admin panel in 90 seconds. I deleted three weeks of Linear tickets.

MCMara ChenIndie founder, Inboxly

We replaced our internal V0 → Notion → Jira loop with one prompt. Engineering cycle dropped from sprints to days.

OMOwen MarshallCTO, Stackpilot

Schema, RBAC, audit log, deploy. The first AI tool that ships an actual product instead of a Storybook.

PRPriya RaghavEngineering lead, Northwind

I shipped a paid SaaS over a weekend. The architecture diagram MangoX generated is production-grade.

FOFelix OtienoSolo dev, Casebench
2m 14s
Avg. time to first deploy
12+
APIs generated per app
94%
Features shipped without code edits
1,200+
Apps in private beta

Stop prototyping. Start shipping.

MangoX is in private beta. Join the waitlist or read the source — your call.