ChatGPT Performance Optimizer

Make long ChatGPT threads fast and predictable. ChatGPT Optimizer keeps the interface snappy by reducing live DOM size and loading older messages in fixed batches. The result: smoother scrolling, fewer layout spikes, and lower memory use on big conversations. Why it’s faster DOM windowing: keep ~50 recent messages in the DOM; older nodes are hidden to reduce style and layout work. Batch lazy-load: reveal older messages in fixed steps (e.g., 25 at a time) for bounded, predictable work. Observer orchestration: MutationObserver (subtree) keeps counts accurate; optional IntersectionObserver loads one batch per distinct scroll—no cascade. Typical results (internal tests, 300–600 messages) ×5–×15 fewer live DOM nodes −20–45% layout/recalc time −25–50% JS heap memory (Actual results vary by device, theme, and content.) Features Window and batch size controls (e.g., Window 50, Batch 25) Clear “Load 25 more” prompt at the hidden/visible boundary Optional one-batch-per-scroll (off by default) Stats panel: total / visible / hidden / initialized Privacy & permissions No tracking. No external servers. Works only on chat.openai.com and chatgpt.com. Permissions: storage (preferences), tabs (detect ChatGPT tab), optional declarativeNetRequest rules. Disclaimer Not affiliated with OpenAI. “ChatGPT” is a trademark of its owner.