Automation tool to manage and strengthen Google Business communications, reducing manual effort for business owners.
This project is a work in progress and is not yet ready for production use.
View live site: Responder
Google review replies matter, but given the capabilities of modern AI, there's no reason to spend hours crafting the perfect response. Responder is a tool that allows business owners to automate the process of replying to Google reviews. The tool uses a combination of AI and human input to generate responses that are both accurate and engaging.
Users can create custom templates for different types of reviews, and the tool will automatically generate responses based on the content of the review. The tool also allows users to customize the responses by adding their own personal touch. If you don't trust the AI, you can also manually edit the responses before sending them.
- React
- Tailwind CSS
- Next.js (app router)
- Drizzle
- PostgreSQL
- Onboarding flow
- implement backend
- Connect to Google My Business API + Stripe
- option to receive email with proposed responses
- Dashboard
- Reporting
- Allow user to use own api key
See the open issues for a full list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated. I (jackwatters45) am currently the sole contributor to this project. I am open to contributions and would love to see this project grow.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (git checkout -b feature/AmazingFeature)
- Commit your Changes (git commit -m 'Add some AmazingFeature')
- Push to the Branch (git push origin feature/AmazingFeature)
- Open a Pull Request
Distributed under the MIT License. See LICENSE for more information.
Jack Watters - LinkedIn - twitter - [email protected]
A big thanks to the following services that made this project possible: