SlothInbox 🦥: Rewarding Laziness with Local-First AI and GitHub Copilot

说明与用途

SlothInbox 是一款本地优先、注重隐私的杂乱整理工具，可将原始非结构化文本笔记、任务列表或收据自动分类、打标签并优先排序为结构化类别（代码、任务、财务、事件、笔记），同时提供交互式拖放看板工作流。粘贴混乱内容后，所有项目在不到 0.8 毫秒内即可整理完成。该工具使用 GitHub Copilot 和基于 WebGPU

问题

Developers, students, and freelancers frequently end up with chaotic note buffers: quick terminal snippets, bug reports, unorganized billing receipts, and sudden meeting reminders dumped into random text files. Sorting through this pile at the end of a long sprint takes energy that none of us want to spend.

结果

Pasting a disorganized 10-item dump organizes, tags, and files everything into workflow boards in under 0.8 milliseconds. The tool was used to take scattered project notes, bug fixes, and lab deadlines, turning them into a clean board with a single click.

工作流

Paste raw, unstructured text notes, task lists, or receipts into the SlothInbox composer.
Click 'Load Samples' in the header to view a populated workspace, or paste any rough work log into the composer and hit 'Organize' to see items categorize instantly.
Items are automatically classified, tagged, and prioritized into structured categories (Code, Tasks, Finances, Events, Notes).
Interactive drag-anddrop Kanban workflow allows users to organize items into workflow boards.

证据

来源

Manually reviewing a messy 20-line brain dump—splitting tasks into a board, logging expenses, and marking meeting times—typically takes 10 to 15 minutes of tedious copy-pasting.

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Pasting a disorganized 10-item dump organizes, tags, and files everything into workflow boards in under 0.8 milliseconds.

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The engine runs locally inside the browser, private work logs and financial figures never touch an external third-party server.

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Copilot scaffolded the layout structure, CSS custom property tokens, and drag-anddrop Kanban listeners.

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记录日期: 2026-10-19T23:56:00.944Z