Every power user of ChatGPT, Claude, or Gemini knows the feeling: a sharp insight surfaces mid-conversation, you scroll past it, and by the time you open Notion the thread is gone. The problem isn't memory. It's friction — the gap between the moment of insight and the act of saving it is just wide enough for the idea to disappear.
GoldMindy's Catcher closes that gap with two capture methods that work without interrupting your flow.
Engine A — The LLM Copy Button
On any supported AI platform — ChatGPT, Claude, Gemini, Perplexity, DeepSeek — GoldMindy watches for the native copy button. Press it as you normally would, and the Catcher intercepts silently: the response becomes a card in your INTAKE queue, tagged automatically, source platform logged. The diamond icon pulses to confirm. No tab switch. No form to fill. The conversation continues.
Engine B — Alt-M on Any Page
Outside of AI platforms — a news article, a research paper, a product page — select any text and press Alt + M. The selection is captured instantly as a card, with the source URL attached. It works anywhere a browser can render a page.
Select text on any page → press Alt-M → card appears in INTAKE with source URL. No mouse movement required.
Microsoft Edge users: Alt+M may not activate automatically. To enable it, open edge://extensions/shortcuts, find GoldMindy Quick Input, click the pencil icon, and press Alt+M (or any shortcut you prefer).
Engine C — Right-Click to Save
On any webpage — a news article, a research paper, a forum thread — select the text you want to keep, right-click, and choose GoldMindy → Save selection. The text becomes a card in INTAKE with the source URL attached. No keyboard shortcut required; works entirely with the mouse.
Select any text on any browser tab → right-click → GoldMindy → Save selection → card saved in INTAKE with source URL.
Where It All Goes
Both methods feed the same place: a lightweight scratchpad that holds your captures until you're ready to refine and archive them. Not a second brain. Not a database. Just a Catcher — so the ideas you paid attention to don't get lost before you can do something with them.
In the age of LLMs, we don't need a more complex processor. We need something that catches what's already flying past us.