While building search features, I noticed a common scalability issue: every keystroke triggering an API request. In real-world applications, this leads to unnecessary server load, higher costs, race conditions, and degraded user experience.

To solve this, I built a Smart Search system that integrates:

Debouncing – waits for the user to pause typing before firing requests

Caching – stores previous results to prevent duplicate API calls

Request Cancellation – aborts outdated requests to avoid race conditions

 Impact:

Significant reduction in redundant API calls

Faster perceived response time

Cleaner state management and smoother UX

This project helped me move beyond “it works” toward building systems that scale efficiently and handle real-world performance challenges.