ShipStation, https://shipstation.ai is an AI based website and agents generation platform.

To begin with, we are optimising simple landing page websites, next stop being generic connect-anything-to-anything services.

Imagine working on some new platform which has solved a lot of good problems but just doesn't work effectively for you as the provider of the service can't understand you and you can't understand the provider.

Our WIP tool is able to solve it with very high accuracy, say 95% of the time so that you, the saas provider and the required integration partner never need to be aware of each other and things get done for you.

• User authentication (login/signup) via SupaBase
• Basic landing page to communicate with user and understand what would make them happy
• View previously generated projects and featured websites
• Code editor to edit the generated website
• Option to use personal Anthropic API key for free usage
• Integrated payment options via Razorpay/PayPal for purchasing credits. Paypal integration is not complete yet.
• Real-time progress tracking during website generation on websocket

The project is a full stack application

1. Server-side (Node.js) - located in the server folder.
2. Client-side (React with Vite) - located in the client folder.

• Node.js (v20 or later recommended)
• npm or yarn
• Anthropic API key
• Supabase account (for auth and more)
• Tavily API key
• Razorpay account (for payment integration) or can use stripe or skip it all together
• Heroku for the server (for deploying shipstation itself) - mainly due to bucketeer addon
• Bucketeer Heroku Addon for storing and retrieving the generated website - can use any other S3 compatible storage

Clone the repository and follow the instructions below:

git clone https://github.com/daytimedrinkingclub/shipstation-backend.git

1. Create a new project in Supabase
2. Copy SQL from the server/setup.sql file and run it in the SQL editor https://supabase.com/dashboard/project/[your-project-id]/sql/new

Ensure all environment variables are properly set in both .env files. Refer to the .env.template files for the required variables.

There are three env files that need to be created:

1. Backend .env from .env.template in root folder.
2. Frontend .env.local from .env.template in client directory
3. Frontend .env.production from .env.template in client directory. This will be used while creating production build

1. Install server dependencies:

npm install

2. Setup environments: Copy .env.template to .env and fill in the required environment variables. Read the comments in the template file for more details.
3. Start the backend server from the repo directory

npm run dev

4. In a new terminal, navigate to the client directory and install the frontend dependencies

cd client
npm install

5. Start the frontend dev server from the client directory

npm run dev

6. Build the client if needed for deployment

cd client
npm run build

1. Access the application through the browser (default: http://localhost:5173)
2. Sign up or log in to your account
3. Choose between creating a landing page or portfolio
4. Add the details for getting a website as output.

The websites are stored in s3 bucket and served on the path https://shipstation.ai/site/website-slug

1. Build the client project

cd client
npm run build

2. Commit the changes
3. Push to the main branch
4. Heroku will automatically detect the changes and deploy the app

Since you came here looking for it, it was also waiting for you to contribute to the project. As for the next rabbithole, visit https://freeaifinder.com We all are limited by the desire to learn things and energy to validate. Thankfully, we are making it easier for you.

Contributions are welcome! Please feel free to submit a Pull Request.

Do good, be good.