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Launch Your First SaaS on nfyio in 60 Seconds

From signup to a live backend — database, auth, storage, vector memory and billing, all provisioned in one gofyio wizard run on the nfyio developer cloud.

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nfyio Team

Hilal Technologic

Launch a SaaS with nfyio in one run

Launch Your First SaaS on nfyio in 60 Seconds

nfyio is the developer cloud for launching SaaS. Instead of stitching together a database, an auth provider, object storage, a vector store and a billing system from five different vendors, you answer a few questions in the gofyio wizard and nfyio provisions all of it for you — on a managed TR/EU cloud.

This guide takes you from signup to a working backend.

1. Create your account

Sign up at cloud.nfyio.com/signup — no credit card required. During onboarding you pick your data region (Turkey or EU); everything you provision afterwards runs there.

2. Run the gofyio wizard

From the dashboard (or the CLI) start a new project:

nfyio launch my-saas

Answer 7 questions and gofyio provisions every service in one run:

  • authfyio — OAuth, magic links and sessions
  • basefyio — Postgres, object storage and pgvector memory
  • envfyio — sealed secrets, auto-injected
  • buildfyio — repository → deploy pipeline
  • payfyio — Stripe checkout and subscriptions

When it finishes you have a live project — typically in under a minute.

3. Install the SDK

npm install @nfyio/sdk

4. Connect to your project

The SDK reads your project credentials from the environment variables envfyio injected during provisioning:

import { basefyio } from '@nfyio/sdk'

const db = basefyio.db           // postgres
const storage = basefyio.storage // object storage
const vector = basefyio.vector   // pgvector memory

5. Read and write data

// Insert a row
await db.from('users').insert({ email: 'ada@example.com', name: 'Ada' })

// Query it back
const users = await db.from('users').select()

6. Store files

// Upload to object storage
await storage.upload('avatars/ada.png', file)

// Get a shareable URL
const url = await storage.getUrl('avatars/ada.png')

7. Give your agents memory

// Store context
await vector.memory.store({
  content: 'user prefers dark mode',
  namespace: 'user-prefs',
})

// Retrieve it by meaning
const ctx = await vector.memory.context({
  prompt: 'what does this user prefer?',
  topK: 5,
})

What’s next?

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Written by

nfyio Team

Hilal Technologic

Building nfyio — the developer cloud for launching SaaS. Writing about infrastructure, AI, and shipping products fast.