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We created the StockClock app using Next.js for the frontend and Node.js for the backend, which crawls e-commerce websites for stock prices. The app stores all data in a Redis key-value store for fast database access.

The design features a simple yet effective theme that is modern and functional. We utilized Shadcn components with custom styling.

The user interface presents the crawled stock data in intuitive dashboards and detailed views, allowing users to track specific items and analyze price movements over time.

By leveraging Redis’s in-memory speed, the application ensures minimal latency for data retrieval, providing near real-time updates and swift access to historical price information. Key features implemented include personalized watchlists for monitoring desired stocks and custom price alert thresholds.

Looking ahead, our roadmap for StockClock includes expanding its data coverage by integrating a wider variety of e-commerce platforms, providing users with an even broader view of market prices. We also plan to enhance the analytical features, potentially incorporating historical trend analysis and comparative pricing across different retailers for the same product.

This continuous development aims to empower users to effortlessly monitor the prices of desired items, identify optimal buying times, and ensure they secure the best possible deals on the products they care about. The robust architecture built on Next.js, Node.js, and Redis is designed to scale efficiently to handle this increased data volume and user base.