Ghost Cat

Ghost Cat is a subscription-based data intelligence platform designed to provide structured access to large-scale leaked data sources. The system enables fast searching, filtering, and secure data handling through a scalable backend and high-performance API-driven architecture.

Django Django Rest Framework Bootstrap

Challenge

Designing a secure, scalable, and high-performance platform capable of handling large volumes of sensitive data while maintaining strict access control and subscription-based usage. The system required efficient search capabilities, optimized query performance, and protection against unauthorized access or data exposure.

Solution

Built a robust backend system using Django and Django REST Framework with a modular API-first architecture. Implemented optimized database querying, indexing strategies, and asynchronous task processing for handling heavy workloads. Integrated secure authentication, subscription management, and rate limiting to ensure controlled access and system stability.

Technology

Ghost Cat is powered by Django and Django REST Framework for backend API development, ensuring scalable and secure data processing. PostgreSQL is used for structured data storage with optimized indexing for fast querying. Redis and Celery are utilized for asynchronous task execution and performance optimization. The platform follows a modern, API-driven architecture with strong emphasis on security, scalability, and maintainability.

Result

Successfully delivered a high-performance, subscription-based data platform capable of handling large datasets with fast response times and secure access control. The system ensures reliable performance, scalable infrastructure, and a seamless user experience for data retrieval and analysis.