Track Time. Empower Teams. Simplify Workflows. TimeNest is a sleek and powerful time management tracker built with ReactJS, designed to help businesses and groups log work hours efficiently. Whether it's tracking productivity, managing project timeframes, or ensuring accurate billing, TimeNest helps teams take control of their schedules.
- ๐ Hour Logging โ Users can log, edit, and review time entries easily
- ๐ฅ Team Collaboration โ Multiple users and roles to manage group workflows
- ๐ Dashboard Insights โ Visual breakdowns of logged time by user, task, and date
- ๐ Reminders & Alerts โ Stay on top of unfinished logs or upcoming deadlines
- ๐จ Modern UI โ Responsive design using ReactJS + TailwindCSS
- ๐ Authentication & Roles โ Secure login and access based on user permissions
This fullstack application combines modern frontend design with a robust backend and cloud-native services: ๐น Frontend
- React.js โ Component-based UI framework
- TailwindCSS โ Utility-first CSS for responsive styling
- Supabase JS SDK โ Handles authentication and direct database access ๐น Backend
- Spring Boot โ RESTful API and business logic
- Supabase PostgreSQL โ Cloud-hosted database with real-time capabilities
- Supabase Auth โ User authentication and session management ๐น Communication
- REST APIs โ JSON-based data exchange between frontend and backend ๐น Deployment
- Hostinger โ Hosting for both frontend and backend
- React app deployed via using Hostingerโs Import Website tool
- Spring Boot app deployed as or via Hostingerโs Java Web (Tomcat) setup
Designed with both efficiency and aesthetics in mind, TimeNest isn't just another time trackerโit's an intuitive tool for collaborative teams who value clarity, accountability, and a user-first experience. With smooth interfaces and seamless navigation, tracking hours feels effortless.
๐ฆ Installation
git clone https://github.com/ChristianMThomas/timenest.git
cd timenest
npm install
npm start
๐งฉ Future Additions
- ๐ฑ Mobile app version
- ๐ Calendar views and time filters
- ๐ Export logged data as PDF/CSV