Build a SaaS with AI — and own every line of it.
Describe the product in plain English. An AI development team delivers the whole stack — auth, Stripe-ready billing, Postgres with row-level security, and an AI agent inside — as source code in a private GitHub repo. Your customers pay you.
A SaaS is more than screens. You get all of it.
"SaaS" is the hardest thing to fake with a demo, because the parts that matter are invisible: who can see which rows, what happens when a card is declined, where the session lives. Every AppMaking build includes the unglamorous load-bearing parts:
Authentication
Real sign-up and sign-in wired to Supabase Auth — sessions, password handling, and per-user data scoping from the first request.
Stripe-ready billing
Payment endpoints wired for your own Stripe account and keys. You set the prices; revenue flows to you with no AppMaking cut.
Postgres with RLS
A schema.sql with row-level security so tenant isolation is enforced by the database, not by hoping every query remembers a WHERE clause.
An AI agent inside
A working POST /api/agent/chat endpoint running on your own Anthropic key — your SaaS ships with the AI feature your competitors are still scoping.
Landing page + dashboard
A public marketing page and an authenticated app UI, responsive and free of fabricated testimonials or invented metrics.
SETUP.md + AGENTS.md
A deployment checklist anyone can follow, plus documentation of the agent's role, tools, and permission boundary.
From one paragraph to a running product.
A good SaaS description names the user, the data, and the money. This is genuinely enough for a build:
From there: an AI Product Manager sharpens the requirements, an Architect designs the data model (designers, clients, projects, milestones, comments — each row scoped to its owner), engineers write the backend, frontend, and schema, QA verifies the build, and DevOps packages your private repo. The whole team is listed here, and the platform's build graph is public at /api/agentic/plans.
Five steps to charging customers.
- 1 — Describe the SaaS in plain English: users, data, features, and how you want to charge.
- 2 — Build. The AI team delivers the full stack, QA-verified, into a private GitHub repo you own.
- 3 — Add your keys. Supabase for the database and auth, Anthropic for the agent, Stripe for payments — your accounts, your dashboards, no markup.
- 4 — Deploy anywhere. Any Node.js host works. SETUP.md walks through it step by step.
- 5 — Charge. Set your Stripe prices and share your URL. Payments land in your Stripe account from day one.
What the AI won't do for you.
Anyone selling "AI builds your whole business" is selling something else. AppMaking builds the software. It will not pick your market, validate that anyone wants the product, write your marketing, or find your first ten customers. It also won't operate the business: you'll answer support email, watch your Stripe dashboard, and decide what to build next — though the AI Support Engineer will happily make those changes to the code when you've decided.
Why this matters for choosing a tool: when the software side is compressed from months to a sitting, the business side becomes the whole job. Owning your code means every hour you invest from then on compounds into an asset you control — not equity in someone else's platform.
Straight answers.
The software, yes — auth, billing endpoints, tenant-isolated data, UI, and an in-app agent, delivered as source code. The business — positioning, pricing, customers — stays yours. See the split above.
You do, directly, in your own Stripe account. AppMaking is not in the payment path and takes no revenue share.
Express + plain HTML/JS + Supabase Postgres (with RLS) + Stripe + the Anthropic API. Boring on purpose: any developer can maintain it, any Node.js host can run it.
A standard build is 100 credits; plans start at $9/month for 300 credits (~3 builds). Flat and capped — details on the pricing section. Your deployed SaaS's running costs go straight to your providers at cost.
It's the ownership model that differs. Hosted builders run your SaaS on their platform and meter it; AppMaking hands you the code. Full comparison on the AI app builder page.
Your SaaS idea, built this week.
Describe it in a paragraph. Own the repo by tonight.