Ship your MVPSaaSproduct in days, not months.

You get the complete PyNuxt codebase: a FastAPI Python backend, a Nuxt frontend with SSR and Capacitor support for iOS and Android, EVM smart contracts with Foundry, PostgreSQL, Stripe for payments, SendGrid for email, Twilio for SMS, multiple authentication methods (email/password, Google OAuth, GitHub OAuth, and Web3 wallet), a background worker, an admin panel, CI/CD with GitHub Actions, pre-commit hooks, DataDog monitoring, PostHog analytics, Terraform scripts, and a Docker setup that runs everything locally with a single command. Beyond the code, you also get direct support from me — if something is unclear or you run into trouble, reach out and I will help you get unstuck.

The frontend is TypeScript (Nuxt/Vue.js), the backend is Python (FastAPI), and the smart contracts are Solidity. Infrastructure is managed with Terraform (HCL). Each part lives in its own folder with its own documentation.

No. You only need to be comfortable with the parts relevant to your project. If you are not building anything blockchain-related, you can ignore the Solidity layer entirely. If you just want a standard web app, Python and TypeScript are all you will touch day to day. The layers are cleanly separated so you can work in one without needing deep knowledge of the others.

Very. The codebase was designed with AI-assisted development in mind from the start. Every section has a CLAUDE.md file that gives AI tools precise context about local conventions and patterns. The code is fully typed and consistently structured, which means AI agents can reason about it accurately and make changes confidently. In practice, you can describe a feature in plain language and have Claude Code implement it across the full stack — frontend, backend, and tests — with minimal correction.

Not at all. Every third-party service can be swapped out. The codebase is built on open standards — FastAPI, Nuxt, PostgreSQL, Docker — and the integrations for things like Stripe, SendGrid, or DataDog are isolated and clearly defined. Because everything is fully typed and thoroughly tested, replacing a provider means updating one module and its tests, not untangling hidden dependencies spread across the codebase.

A few things stand out. The backend is Python (FastAPI), not yet another Node.js server — so you get the full Python ecosystem, including mature AI and ML libraries, without giving up a modern frontend. Web3 and EVM smart contract support are first-class citizens, not an afterthought. There are no vendor lock-ins: every service is either built on an open standard or is straightforward to replace. And the project reflects nine years of production experience — edge cases that only surface after real users hit your app are already handled.

No problem. The Terraform scripts target DigitalOcean, but the entire application runs in Docker containers, so you can deploy it anywhere Docker is supported — AWS, GCP, Azure, Fly.io, Render, or a bare VPS. The Terraform code is also a useful reference if you want to write equivalent infrastructure definitions for another provider.

Yes, if the feature would be genuinely useful to most people using this boilerplate. Open an issue or reach out directly, describe what you have in mind, and if it fits the scope of a general-purpose starting point I will build it in. Features that are very specific to a particular business are better implemented in your own project on top of the boilerplate.