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    Draftmark — Markdown sharing for async collaboration

    Draftmark — Markdown sharing for async collaboration

    Share and review markdown documents with inline comments, version tracking, and an API-first design for developers and AI agents.

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    Developer Tools·Productivity
    #markdown·#collaboration·#api·#cli·#open-source·#feedback·#docs·#version-control·#agent·#prompt-engineering
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    About this product

    Draftmark is an open-source markdown sharing and collaboration platform that lets users create, share, and collect feedback on documents via a clean UI, REST API, or CLI.

    What is Draftmark?

    Draftmark is a markdown document sharing tool with built-in feedback collection. It takes markdown input (written in the web editor, uploaded as a file, or submitted via API or CLI) and produces a shareable URL with a beautifully rendered document. Documents can be public or private (with magic links). The platform runs on the web at draftmark.app and is maintained as an open-source project on GitHub under the MIT license.

    Key Features

    • Rendered markdown with GFM and Mermaid – Supports full GitHub Flavored Markdown including syntax highlighting, tables, and Mermaid diagrams. Preview and source tabs with syntax highlighting and line numbers.
    • Inline comments anchored to lines – Click a line or select text to leave feedback that tracks which document version it was made on, so stale comments are identifiable.
    • Agent-ready REST API – Every UI action is available via API endpoints for creating, reading, commenting, and reviews, allowing AI agents to interact programmatically.
    • CLI (dm) – Install via npm and publish markdown from the terminal, poll for comments, push updates, and close reviews without leaving the shell.
    • Access control – Public or private documents; private docs use magic links without requiring an account to view or comment.
    • Collections – Group related documents (e.g., architecture plan, API spec, migration guide) with cross-document references in comments.
    • Open Knowledge Format (OKF) export – Export any document or collection as a portable, git-native OKF bundle consumable by AI agents.

    Who is it for?

    • Developers and technical writers – Publish technical docs, RFCs, and API proposals with version tracking and inline feedback.
    • AI/ML engineers – Use the API or CLI to have coding agents publish planning documents, collect feedback, and iterate automatically.
    • Content creators – Share drafts of articles or AI prompts, gather reactions and inline comments, and iterate before publishing.
    • Teams doing async review – Use reviews, reactions, and comments on documents without requiring all participants to log in.

    What can you do with Draftmark?

    • Prompt Sharing – Share and iterate on AI prompts with inline comments on specific lines and version tracking.
    • Agent Planning – Share planning sessions from coding agents; collect comments and feedback on the approach before code ships.
    • RFCs & Proposals – Structured async review with deadlines, review tracking, and Mermaid diagrams for technical proposals.
    • Docs & Runbooks – Publish technical docs and runbooks as clean shareable links that team members and agents can read and comment on.

    How does Draftmark work?

    1. Write or upload a markdown document via the web UI, API, or CLI. A shareable URL is returned instantly.
    2. Share the link; reviewers see a clean rendered doc with no login required for public docs.
    3. Reviewers leave inline comments, reactions, or mark themselves "done" reviewing.
    4. The author (or an AI agent) fetches comments via API and iterates on the document. Old comments are marked with the version they were made on.

    Pricing

    Free tier at $0/month with unlimited public docs, private docs, comments, reactions, collections, and full API access. A coming "writer" tier at $6/month adds password-protected links, version history, webhooks, custom domain, and higher API rate limits. Self-hosted is free under MIT license with unlimited everything and community support.

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    01_LAUNCH INSIGHTS

    Pricing
    Free
    Launch date
    Sep 7, 2026
    Status
    Queued
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