Gatsby-OpenAI-Firebase-starter is a Gatsby.js boilerplate that scaffolds an AI-powered Q&A database website using the OpenAI Node.js API, Firebase authentication, and Material UI.
What is Gatsby-OpenAI-Firebase-starter?
It is a public starter repository for the Open AI Q&A project, a collection of questions asked by authorised members and answers generated by OpenAI's text-davinci-003 model. The template bundles Gatsby.js, openai-node, firebase, and mui, with topics including firebase-auth and firebase-realtime-database. The repository is published by GitHub user ys-sudo; the text-davinci-003 model itself is developed and maintained by OpenAI. The starter is described as ready for production apps aiming to bring top-edge technologies together with artificial intelligence, and a live example is available at open-q-and-ai.netlify.app/archives.
What makes it stand out?
- AI-powered Q&A logic — Uses the OpenAI Node.js API with the text-davinci-003 model to generate answers to user-submitted questions.
- Firebase authentication — Includes firebase-auth setup so access can be restricted to authorised members.
- Firebase Realtime Database — Stores questions and answers in Firebase's realtime database, keeping the archive synchronised across clients.
- Gatsby framework — Built on Gatsby.js, providing static site generation, a GraphQL data layer, and a development server at localhost:8000 with hot reload.
- Material UI components — Uses mui for the interface, offering prebuilt React components for forms, layout, and theming.
- Netlify one-click deploy — The README includes a Netlify deploy badge and status, so the starter can be published to Netlify directly.
- Node.js >=15 requirement — A badge states Node.js version 15 or higher is needed for local development.
Who should use it?
- Developers prototyping AI apps — Use this starter to quickly build a site that calls the OpenAI API, with authentication and a database already wired up.
- Teams creating a members-only Q&A archive — With Firebase auth access restriction, only authorised users can ask questions and view the public collection.
- Gatsby developers exploring integrations — The template shows how to combine Gatsby with openai-node, firebase, and mui in one project, useful as a reference architecture.
What can you do with it?
- Publish a public AI Q&A archive — Deploy the starter to Netlify and let authorised members ask questions; the text-davinci-003 model provides answers stored in Firebase.
- Create an early-access gated site — The repo links to an early-access page, so you can model a membership or access-restricted experience.
- Use as a starting point for AI database projects — The README describes it as making your own AI powered database website, so you can adapt it for other Q&A or knowledge-base use cases.
How does it work?
Clone the repository with git clone https://github.com/Ys-sudo/gatsby-openai-firebase-starter.git, then run yarn and gatsby develop to start at http://localhost:8000. Create an .env file with API keys from an OpenAI developer account (which provides a $18 grant) and a Firebase account, then deploy to Netlify with one click.
FAQ
Does this template use the OpenAI API?
Yes. It uses the openai-node package and the text-davinci-003 model to generate answers. You need to create an OpenAI developer account and add your API keys to a .env file.
Is authentication included?
Yes. Firebase authentication is included, with firebase-auth listed among the repository topics. The README states authentication with Firebase is provided along with access restriction.
How do I deploy it?
The starter has a one-click deploy option for Netlify, shown by the Netlify status badge in the README. You also need to create a Firebase account and connect it with the API keys.
What Node.js version is required?
The badge in the README indicates Node.js version 15 or higher is required.
Is there a live demo?
Yes. The public Q&A archive project is live at open-q-and-ai.netlify.app/archives, and an early-access page is linked for those interested in developing the project.





