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2paste is a browser-based prompt workspace built for people who work with LLMs daily and need structure around their reusable text.
Core workflow: Create prompts with {{variable}} placeholders, fill in the values, and copy the final output in one click. No more manual find-and-replace across scattered docs.
Organization - Projects and labels for grouping prompts by context - Full-text search and sort by usage, creation date, or last edit - Command palette (Ctrl+K) for instant access to any prompt - Starred prompts and drag-and-drop reordering
Editor - Rich text formatting (bold, underline, color, font size) - Line operations (sort, deduplicate, case conversion, trim) - Focus mode for distraction-free editing - HTML detection and inline preview - Version history with restore (up to 10 snapshots per prompt)
Project-level tools - Bulk variable replacement across all prompts in a project - Project-scoped find and replace - Per-project JSON export and import with conflict handling
Import/Export - Full library export as JSON (re-importable), Markdown, or plain text - JSON import with add-only semantics and automatic label/project creation
Other details - Dark mode, keyboard shortcuts throughout, editor minimap - No tracking scripts, no ads - Built with Next.js, React 19, TypeScript, and Prisma
Free to use during Early Access.
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2paste.io's answer:
Most prompt tools are either simple clipboard managers or full-blown LLMOps platforms built for engineering teams. 2paste sits in the middle: it's a proper workspace for people who manage dozens or hundreds of prompts and need structure without overhead. The {{variable}} placeholder system is the core of it. You write a prompt once, mark the parts that change as variables, and every time you reuse it you just fill in the values and copy. No manual find-and-replace, no duplicating prompts for slight variations. On top of that, the project-level tools (bulk variable replacement, project-scoped find and replace, per-project export/import) treat your prompt library as something worth maintaining, not just a pile of text snippets.
2paste.io's answer:
Three reasons. First, variable interpolation is a first-class feature, not an afterthought. You define {{placeholders}} directly in your prompt body and fill them at copy time. Second, 2paste works at the project level, not just individual prompts. You can replace variables across an entire project, search and replace text across all prompts in a project, and export/import whole projects as structured JSON with conflict handling. Third, it's a full workspace with a real editor: rich text formatting, version history, focus mode, command palette, and keyboard shortcuts throughout. It's not a Chrome extension or a sidebar widget. It's where your prompts actually live.
2paste.io's answer:
People who use LLMs as part of their daily work and have outgrown scattered docs and text files. That includes prompt engineers, AI-assisted developers, technical writers, content marketers who work with ChatGPT or Claude regularly, and anyone running repeatable AI workflows where the same prompt gets reused with different inputs. If you have more than 20 prompts and you're tired of digging through Notion pages or random .txt files to find the right one, 2paste is built for you.
2paste.io's answer:
I was managing a growing collection of prompts across Notion docs, text files, and browser tabs. Every time I needed to reuse a prompt with different variables, I was doing manual copy-paste-edit cycles. It was slow, error-prone, and got worse as the collection grew. I looked for a dedicated tool and found either basic snippet savers or enterprise prompt platforms with features I didn't need. So I built the thing I wanted: a fast, organized workspace where I could store prompts with variable placeholders, fill them in, and copy the result in one click. That became 2paste.
2paste.io's answer:
Next.js (App Router), React 19, TypeScript, Prisma ORM, TipTap editor, and Tailwind CSS. Hosted on Vercel. Authentication via NextAuth. The editor supports rich text formatting stored as structured JSON with range-based formatting data. Import/export uses Zod schema validation for data integrity.
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