Your ultimate dream companion for recording, exploring, and enhancing your journey through the realm of dreams.
Lucid aims to provide users with a secure platform to capture and analyze their dreams. Leveraging the DataverseOS blockchain, we ensure the confidentiality and integrity of dream records, allowing users to maintain a private log (or make it public if they choose to) while exploring trends or patterns in their dreams.
- Secure Blockchain Technology: Utilizes DataverseOS blockchain for secure and immutable dream journaling.
- User Authentication: Allows users to create accounts and log in securely.
- Dream Entry: Enables users to record dreams with details such as date, description and emotions.
- Responsive Design: Built with React to ensure a responsive and user-friendly interface across devices.
- React
- TypeScript
- DataverseOS
- TailwindCSS
- shadcn/ui Components
Before running the project you need to install both pnpm
and create-dataverse-app
globally.
# install pnpm
npm install -g pnpm
# install create-dataverse-app
pnpm install -g create-dataverse-app
git clone https://github.com/almoloo/lucid.git
cd lucid && pnpm install
pnpm dev
Lucid has been successfully launched on your local network. Follow the address provided by the terminal.
To run this project, you will need to add the following environment variables to your .env file
VITE_DREAM_VERSION
: 0.0.1
Note: This project was developed as a submission for the Rebuild Ownership 2.0 Hackathon and is not intended for production use without further development and rigorous testing.
The code and functionalities presented in this repository were created within a limited time frame specifically for the hackathon. As such, it may contain bugs, incomplete features, or security vulnerabilities.
Caution is advised when using this codebase in a production environment or as a basis for a fully deployed application. It's recommended to review, enhance, and test the code thoroughly before considering it for any production-level implementation.
We appreciate your interest in this project and welcome contributions, feedback, or suggestions for improvements. Please proceed with caution and understanding of its hackathon-oriented context.
We welcome contributions from the community! Feel free to fork this repository, make your changes, and submit a pull request.
This project is licensed under the MIT License.