AI Product Builder · MIT · runs on Claude Code · 22.8k installs

Describe a product.
Ship the software.

GreatCTO is an AI Product Builder — describe a software product and it runs the whole build: architecture, data model, backend, frontend, tests, deploy. One human gate — you, the CTO, approve the spec. Everything after is automated, to a shipped repo and a live URL.

Start building ↗ How it works ↗

or see what it builds →

22.8k downloads on npm

no signup·runs locally·open source · MIT·your data never leaves

What do you want to build?

10 industries · ~40 products · 6 reusable pipelines

🔧

Home & field services

HVAC, plumbing, cleaning, landscaping

Dispatch & schedulingInstant quotingBooking portalReview autopilot

4 productsBuild ↗

💼

Professional services

Agencies, consulting, creative

Proposal & SOW generatorClient portalTime tracking + invoicingProfitability dashboard

4 productsBuild ↗

🍽️

Restaurants & hospitality

Dine-in, pickup, delivery

Online orderingReservations & waitlistLoyalty engineShift scheduling

Storefront builderInventory + reorderDynamic pricingCart-recovery marketing

Listings + syndicationLead CRM + nurtureTransaction coordinationProperty-mgmt portal

4 productsBuild ↗

🏋️

Fitness & wellness

Studios, gyms, coaches

Class booking + membershipCoaching contentChurn-preventionOn-demand video

4 productsBuild ↗

📣

Marketing & creator

Content, analytics, monetization

Content schedulerCross-channel analyticsCreator monetizationSponsorship CRM

4 productsBuild ↗

🧑‍💼

HR & recruiting

ATS, onboarding, workforce

Applicant trackingOnboarding workflowsWorkforce schedulingEngagement surveys

4 productsBuild ↗

🏗️

Construction

Contractors, field crews

Bid & estimate builderProject mgmt + logsSubcontractor portalField documentation

4 productsBuild ↗

🚚

Logistics & supply chain

SMB shipping & inventory

Shipment trackingWarehouse-liteRoute optimizationPurchase-order mgmt

4 productsBuild ↗

The ~40 products collapse into 6 reusable build pipelines (CRUD vertical-SaaS, booking, CRM, dashboard, marketplace, content) — each ships through one CTO gate, then automated to a live URL. See how it works ↗

Built on the modern stack

Next.js, Postgres, shadcn, Stripe, Tailwind — GreatCTO builds on the tools your team already trusts, and ships a repo you fully own.

Next.jsReactPostgresTailwindshadcn/uiStripeReact NativeVercelCloudflare

The shift

Building a product is now one approval.

The next wave isn't a faster code editor — it's a builder that takes a product from idea to shipped software. You describe what you want; specialist agents handle architecture, the data model, the backend, the frontend, the tests and the deploy. The one thing you do is approve the spec — the single CTO gate. Everything after is automated, to a repo you own and a live URL. And every model improvement makes the build faster and cheaper — the economics only bend your way.

What's in every build

A pipeline of specialist agents — with one gate that's yours.

The pipeline

Spec → build → test → deploy.

A chain of specialist agents runs the real steps of shipping software — architect, design, build, QA, deploy — not one chat window. You watch the whole pipeline on one board.

One human gate

You approve the spec. Once.

The single CTO checkpoint: the architecture and plan. Approve it and scaffold, backend, frontend, integrations, tests and deploy all run automatically — no per-line babysitting.

Real product

A repo and a live URL.

Not a prototype in a sandbox — a working product: a git repo you own, a deployed app on Vercel or Cloudflare, and the tests that keep it honest.

CI is the quality gate

Generated tests, green before ship.

Every build writes its own tests and must pass CI. You sign the direction; the test suite catches the regressions — so automation stays safe without a human reading every diff.

Modern stack

Next.js, Postgres, shadcn, Stripe.

Built on the tools your team already trusts, with a React Native option for mobile. No bespoke framework to learn — it's a codebase any developer can pick up.

6 reusable pipelines

One template ships many products.

The ~40 products collapse into 6 build archetypes — CRUD, booking, CRM, dashboard, marketplace, content. See the pipelines ↗ Self-hosted, MIT, your data never leaves.

Build picker · interactive

What do you want to build?

Pick a product — see the pipeline, the agents at each stage, and the one CTO gate.

Product

great-cto — init

$ npx great-cto init This is exactly what runs in your repo.

How it works

Describe it. Approve the spec. It ships.

1 · Describe

Say what you want to build.

A dispatch app, a booking portal, a CRM, a dashboard — name the product and the industry. The architect and design-advisor draft the spec, data model and screens.

2 · Approve

One gate — the spec.

You review the architecture and plan, and sign off. That's the single CTO gate. Nothing else needs your approval.

3 · It ships

Build → test → deploy, automated.

Scaffold, backend, frontend, integrations, generated tests and deploy run end to end — to a repo you own and a live URL.

Why it's safe to let it run

Automated to the deploy.
The rails keep it honest.

Letting a build run unattended is only safe with rails. Every pipeline ships with three: one human gate at the spec, generated tests that must pass CI before anything ships, and a repo you fully own and can read, diff, and roll back.

One human gate

You approve the spec.

The architecture and plan are the single CTO checkpoint. You sign the direction — what gets built and how — before a line is generated. Nothing irreversible runs before that.

CI is the quality gate

Generated tests, green before ship.

Every build writes its own tests and must pass CI. The suite — not a human reading every diff — catches regressions, so the automation stays safe at speed.

A repo you own

Readable, diffable, reversible.

The output is a normal git repo on a modern stack — not a black box. Review the diff, run it locally, fork it, or roll it back. Self-hosted, MIT, your data never leaves.

The economics

Tokens per build.
Not seats. Not agencies.

A build costs the tokens it uses — against a human baseline of weeks and tens of thousands of dollars per product.

Per build

Pay for the work, not seats.

Every model improvement makes the same product faster and cheaper to build. The economics only bend your way.

Open source

MIT. Self-hosted. Yours.

You run it; your data and your repo never leave your machine. No per-seat tax, no SaaS lock-in.

Your own LLM

You pay your tokens — we don't bill you.

No GreatCTO invoice. Bring your own Anthropic / OpenAI key.

Receipts, not projections

One feature, end to end:
1h 26m and $3.40 in LLM cost.

A real run, fully public: spec → build → review → tests → merged PR. Every stage timestamped, every artifact links to a real GitHub PR — no screenshots, no marketing math.

The traditional path

~6 weeks · ~$42K

Scope it, design it, build it, review and re-review — roughly 170 hours of product and engineering time to ship one non-trivial feature.

The same feature with GreatCTO

1h 26m · $3.40 LLM

Architect → plan → implementation → review → tests → merged PR. Wall-clock from prompt to ship, with one human signing the spec.

Verify it yourself

Timestamps, PRs, costs.

The full stage-by-stage timeline with public GitHub links. Walk the run on /proof →

Questions

Frequently asked.

What is GreatCTO?

An AI Product Builder. Describe a software product and GreatCTO runs the whole build — architecture, data model, backend, frontend, tests, and deploy — through one human gate: you approve the spec, and everything after is automated to a shipped repo and a live URL.

What can it build?

Real software products across 10 US industries — home & field services, professional services, retail, fitness, proptech, marketing, HR, construction, logistics and hospitality. The ~40 products collapse into 6 reusable build pipelines: CRUD vertical-SaaS, booking, CRM, dashboard, marketplace and content/media.

How much is automated?

Everything except one checkpoint. You approve the spec — the single CTO gate. Scaffold, backend, frontend, integrations, tests and deploy run automatically. CI and generated tests are the quality gate, so you sign the direction, not every line.

What does it cost?

GreatCTO is open source (MIT) and self-hosted — there is no GreatCTO invoice. You bring your own LLM API key and pay only for the tokens a build uses. No seats, no retainers.

Where does my data go?

Nowhere. GreatCTO runs locally on your machine or your infrastructure. No SaaS dashboard, no telemetry by default.

How do I start?

Run npx great-cto init, describe the product you want, approve the spec, and GreatCTO builds and ships it. No signup required.

Enough reading.

Describe the product.
Ship the software.

$ npx great-cto init

Describe a product · approve the spec · the pipeline builds & deploys it
Open source · MIT · self-hosted · your data never leaves your machine

Describe a product. Ship the software.

10 industries · ~40 products · 6 reusable pipelines

Building a product is now one approval.

A pipeline of specialist agents — with one gate that's yours.

Spec → build → test → deploy.

You approve the spec. Once.

A repo and a live URL.

Generated tests, green before ship.

Next.js, Postgres, shadcn, Stripe.

One template ships many products.

What do you want to build?

Describe it. Approve the spec. It ships.

Say what you want to build.

One gate — the spec.

Build → test → deploy, automated.

Automated to the deploy.The rails keep it honest.

You approve the spec.

Generated tests, green before ship.

Readable, diffable, reversible.

Tokens per build.Not seats. Not agencies.

Pay for the work, not seats.

MIT. Self-hosted. Yours.

You pay your tokens — we don't bill you.

One feature, end to end:1h 26m and $3.40 in LLM cost.

~6 weeks · ~$42K

1h 26m · $3.40 LLM

Timestamps, PRs, costs.

Frequently asked.

Describe the product.Ship the software.

Describe a product.
Ship the software.

Automated to the deploy.
The rails keep it honest.

Tokens per build.
Not seats. Not agencies.

One feature, end to end:
1h 26m and $3.40 in LLM cost.

Describe the product.
Ship the software.