Find every polling loop in my app and make it cheaper. 1. Inventory: locate every setInterval or recursive setTimeout that calls my API: dashboards refreshing, notification badges, job status checks, chat or feed updates, 'is it done yet' loops. For each, note the interval and what it fetches. 2. Visibility-aware: every poller must pause when the tab is hidden (document.visibilityState) and resume on return. A user with ten background tabs should not be running ten pollers against my server all night. 3. Backoff: pollers waiting for a condition (job completion, payment confirmation) should use exponential backoff with a cap and a stop condition, not a fixed 2-second hammer forever. Stop polling when the condition resolves or the user navigates away; audit for interval leaks where navigating between pages stacks multiple live intervals. 4. Deduplicate: if multiple components poll the same endpoint, centralize into one shared poller or cache so five components do not mean five requests per interval. 5. Push where it earns it: for data that needs to feel live (notifications, chat, collaborative views), evaluate replacing polling with Server-Sent Events or websockets. Recommend per case; do not convert everything. If my platform makes long-lived connections painful (serverless), prefer smarter polling over a fragile socket setup. 6. Server-side relief: for endpoints that must keep being polled, add ETag/conditional-request support so unchanged data returns a cheap 304. Do not change how fresh the data feels to users; if a dashboard updates every 5 seconds today it should still feel live. Do not introduce a websocket layer for a single low-traffic badge counter. Give me: the poller inventory with interval and purpose, what changed per poller (pause-on-hidden, backoff, dedupe, push), and the estimated request volume reduction per day.