Swipe. Match. Eat.

Going out to eat with friends is a great way to catch up and enjoy each other's company. But it can be a hassle to find a place that everyone likes. Dinder helps you find a place that everyone agrees on.
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Table of Contents

1. About The Project
   • Built With
2. How It's Made
3. Roadmap
4. Contributing
5. License
6. Contact

About The Project

Like Tinder for food, use swipe matching to decide on the perfect place for your next meal.

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Built With

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How It's Made:

This project was made using React and Next.js. I used TailwindCSS for styling and Supabase for the PostgreSQL database. Prisma was used to generate the database models. The Google Places API was used to get the location & restaurant data.

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Roadmap

🏋️‍♂️ This project is still in progress ✨

I plan to add the following features:

• Refactor the code to use TypeScript for better type safety
• Add a feature so users can filter restaurants by various criteria
  • Add options for that criteria in the feast creation form & persist in the database
• Add a component for users to see the restaurants on a map
• Add a feature so users can save their favorite restaurants
• Add a feature so users can create their own restaurant
• Depending on how much data ends up being stores, implement a GraphQL API to minimize the amount of data being sent to the client
• Add more detailed documentation

See the open issues for a full list of proposed features (and known issues).

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

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!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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License

Distributed under the MIT License. See LICENSE for more information.

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Contact

Andrew Tapper - @thinktapper - andrew@tapper.codes

Project Link: https://github.com/thinktapper/dinder

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Lessons Learned:

This was a great project to learn about React and how to use Next.js. I learned how to use Prisma to generate relational database models, how to use the Google Places API to autocomplete location searches and fetch restaurant data. I also learned how to use Tailwind utility classes for the first time.

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