The SaaS Boilerplate is an open-source web application that provides a solid foundation for creating your own Software as a Service (SaaS) product. This article will guide you through the essential steps to get started, run the application locally, and troubleshoot common issues. Soon, you’ll be on your way to transforming your ideas into amazing SaaS solutions!

Table of Contents

• Features
• Run Locally
• Deploy
• Troubleshooting

Features

The Boilerplate comes packed with a variety of features enabling you to quickly launch your product. Here are some key highlights:

• Server-side rendering for fast initial loading and better SEO.
• User authentication via Google OAuth and Passwordless login.
• Production-ready Express server.
• Transactional emails with AWS SES.
• File uploads using AWS S3.
• Websockets for real-time features.
• Subscription management with Stripe.

Running the API Locally

To run the API locally, you’ll need to set up environment variables and ensure that everything is configured correctly. Think of it like preparing a recipe: every ingredient must be ready to bake the perfect cake!

• Create a .env file inside the api folder and populate it with the required variables from .env.example.
• Make sure to include sensitive information such as your MongoDB URL and Google OAuth credentials.
• Next, navigate to the API folder and run yarn install.
• Finally, execute yarn dev to start your API server!

Running the App Locally

Now that your API is up and running, it’s time to get your application started. Here are the steps:

• Navigate to the app folder and run yarn to install all dependencies.
• Once installed, run yarn dev and head over to http://localhost:3000 to see your app!

Deployment Options

Once you’re happy with your product, you can deploy it on various platforms like Heroku or AWS. Follow the detailed instructions provided in Chapter 9 and 10 of our SaaS Boilerplate book: SaaS Boilerplate Book.

Troubleshooting Tips

If you encounter any issues while setting up or running your SaaS application, don’t worry! Here are some troubleshooting ideas:

• **Check your .env file:** Ensure that all required variables are present and correctly set.
• **Verify package installations:** Run yarn install again to ensure all dependencies are in place.
• **Check CORS configurations in AWS S3:** Ensure that you have properly set your CORS rules if file uploads aren’t working.
• **Monitor your server logs:** They often provide insights into what might be going wrong.
• For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.