Chatgpt Performance Optim

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.