🚀 ShipFast 🚀

The best free SaaS source base for GenAI, LLM, and other AI Services!

Ship your next Generative AI startups in days, not weeks!

1. Run the project

The project is configured to use pnpm workspaces, which means that you can install node_modules of all packages in repository, with a single command:

pnpm install

Start the app

Start both: backend and webapp

pnpm shipfast up

Start backend

pnpm shipfast backend up

Start webapp

pnpm shipfast webapp up

Local documentation

In order to run your local documentation server execute the following command:

pnpm shipfast docs up

2. Tech stack

Front-end stack:

The front-end stack is based on React and employs GraphQL for communication with the back-end. The design was made with tailwindcss and shadcn/ui.

• React
• GraphQL
• Apollo Client
• tailwindcss
• shadcn/ui
• styled-components (optional)
• jest
• Storybook
• Vite

Back-end stack:

The back-end stack is based on Python and Django. This will be the best suited stack for most of the SaaS, especially AI projects, which often use Python as their main language.

• Python
• Django
• Django REST Framework
• Graphene Django
• dj-stripe
• Postgres

Infrastructure:

The target infrastructure is AWS. The project is configured to use AWS CDK to deploy the infrastructure. However, you can run the project locally with docker-compose for development purposes.

• NX
• AWS infrastructure written in AWS CDK
• Github or Bitbucket

3rd party services:

• Stripe
• Contentful
• Sentry
• OpenAI

Read more on our documentation website: https://docs.shipfast.dev/.

3. References

This project was a fork of SaaS Boilerplate - Apptension with heavy modifications. Thank you Apptension for the great work and generous MIT license.