HomeHunter is built as a modular platform with three core components: the Chrome extension, the web application, and the backend services. Together, these elements form a feedback loop where buyer activity flows into the system, stakeholders gain visibility, and AI tools generate actionable insights.
High-Level Design
- Extension — runs in the buyer’s browser, capturing activity and favorites across property portals.
- Backend — processes and stores data, manages authentication, and exposes a GraphQL API.
- Web application — provides role-based views for home buyers, agents, and admins. Each audience accesses tailored tools while sharing the same underlying infrastructure.
Data Flow
- Buyers install the Chrome extension.
- As they browse property portals, the extension captures events (searches, saved homes, etc.).
- These events are sent to the backend via GraphQL mutations.
- The backend stores and processes the data, aggregating it for analytics and AI-driven insights.
- The web application queries the backend to display this information in real time, with context-specific views for buyers, agents, and admins.
Scalability and Reliability
The system runs on serverless infrastructure (AWS), designed for elasticity and resilience.
- GraphQL API serves as the contract between extension and application.
- Authentication and user management are handled by AWS Cognito.
- Data is stored across PostgreSQL, DynamoDB, and S3 for durability and performance.
The architecture is designed to be modular, scalable, and role-aware: each piece can evolve independently, while the system delivers the right experience to buyers, agents, and admins alike.