Inspiration
Modern businesses use dozens of disconnected tools for communication, projects, documents, tasks, HR, and AI. This fragmentation creates unnecessary context switching, duplicate work, poor collaboration, and limited visibility into business operations. We wanted to build a unified platform where teams can manage their work, collaborate, organize files, and use AI from a single workspace.
What it does
FebGrid is a Business Operating System that unifies business operations into one intelligent workspace.
It allows organizations to:
- Manage companies, teams, departments, and employees.
- Create and organize projects and work objects.
- Upload and manage project documents securely.
- Analyze documents using AI to generate summaries and insights.
- Track notifications, activity logs, and business events.
- Manage employee onboarding and invitations.
- Provide AI-powered assistance across multiple business workflows.
- Serve as a scalable foundation for real-time collaboration and future business automation.
How we built it
FebGrid is built using a modern full-stack architecture:
- Frontend: React + TypeScript + Vite
- Backend: FastAPI (Python)
- Database: PostgreSQL (Supabase)
- Authentication: Supabase Authentication
- Storage: Supabase Storage (private buckets)
- AI: Groq LLM integration for document analysis
- Deployment: Vercel (Frontend) + Render (Backend)
The application follows a modular architecture where the frontend communicates with REST APIs, while the backend manages authentication, business logic, AI processing, secure file storage, and database operations.
Challenges we ran into
One of our biggest challenges was designing a scalable architecture instead of building isolated features.
Some major technical challenges included:
- Integrating secure authentication with business permissions.
- Designing reusable modules for projects, employees, and work objects.
- Implementing private cloud storage instead of relying on local files.
- Building an AI document analysis pipeline that supports multiple document formats.
- Managing deployment across separate frontend and backend environments.
- Maintaining clean architecture while preparing the system for future enterprise-scale features.
Accomplishments that we're proud of
- Built a complete Business Operating System instead of a single-purpose application.
- Designed a modular architecture that is easy to scale.
- Successfully integrated AI-powered document analysis.
- Implemented secure cloud storage for business documents.
- Created a clean and modern dashboard with multiple business modules.
- Built an employee onboarding and invitation workflow.
- Established a strong backend foundation for future collaboration features.
What we learned
Throughout this project we learned:
- Enterprise software requires careful architecture planning.
- Security should be considered from the beginning, not added later.
- Cloud services simplify deployment and scalability.
- AI becomes far more useful when integrated into business workflows.
- Building reusable components saves significant development time.
- Full-stack development requires balancing frontend usability with backend reliability.
What's next for FebGrid
The next phase focuses on transforming FebGrid into a fully collaborative Business Operating System.
Upcoming features include:
- Real-time business chat system.
- AI-powered project assistant.
- Live notifications and activity streams.
- Calendar and meeting management.
- Advanced analytics and reporting dashboards.
- Workflow automation.
- AI work review and business insights.
- Mobile application support.
- Enterprise-grade security with Row Level Security (RLS), audit logs, and role-based access control.
- Multi-company collaboration and future AI agents for business operations.
Our long-term vision is to make FebGrid the central operating platform where businesses can manage people, projects, communication, documents, and AI—all from a single intelligent workspace.
Built With
- api
- authentication
- css3
- fastapi
- git
- github
- groq
- html5
- java
- javascript
- jwt
- postgresql
- python
- react
- realtime
- render
- rest
- storage
- typescript
- vercel
- vite
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