<ul><li>The article examines the Screener.in stock screener API and highlights inefficient practices in the search functionality.</li><li>The search sends a new API call to the server for each keystroke made by the user.</li><li>This inefficient use of network resources leads to server and network overload.</li><li>To fix this issue, the article suggests debouncing, throttling, and client-side caching techniques.</li><li>Debouncing involves delaying API calls until the user has paused typing, using a timer with a delay period.</li><li>Throttling involves limiting the number of API calls over a specific time period and reducing server load.</li><li>Client-side caching stores results from previous searches directly in the user's browser and reduces network activity.</li><li>The article also recommends sending one big message with all the search information instead of lots of little ones.</li><li>Optimizing search functionalities is vital for building efficient applications.</li><li>The synergy of debouncing, throttling, client-side caching, and batch requests can dramatically improve search system’s performance.</li></ul>

Screener.in Search API: A Performance Checkup! 🔎

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