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MD+HTML Reader

Review AI-generated Markdown and HTML in a focused workspace

Productivity
Developer Tools
Artificial Intelligence
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Hunted byAhabAhab

AI coding tools produce useful docs, but reviewing them can get messy. One task can leave plans, API notes, QA checklists, handoffs, diagrams, and HTML previews scattered across project folders and buried under source files, builds, logs, and dependencies. MD+HTML Reader gives you a focused macOS workspace to review generated Markdown and HTML in read-only mode before the next prompt, commit, or handoff.

Top comment

Hi, I’m Ahab. I built MD+HTML Reader because AI coding workflows created a new problem in my own work: the output is useful, but reviewing it is messy. Tools like Codex, Claude Code, Cursor, and other agents can generate plans, specs, handoffs, diagrams, and HTML previews. But those files often end up scattered across the project, mixed with source files, builds, logs, and dependencies. When a task touches multiple docs, I found myself constantly digging through folders or switching apps just to understand what was generated. MD+HTML Reader is my attempt to make that review step focused. It opens a project folder, filters for Markdown and HTML, renders them in a read-only workspace, keeps recent viewed and changed docs close, supports document titles, and helps you move through review work with shortcuts. It does not replace your editor. It is for the moment after AI has generated work and before you decide what to trust, change, commit, or hand off. I’d love feedback from developers, indie makers, product builders, and technical writers who review AI-generated docs regularly.

Comment highlights

This is the exact mess I deal with after a Claude Code session, plans and handoff notes end up scattered across folders and I end up grepping just to find what changed. Curious how it detects "recently changed" docs, is it watching file mtime, or does it diff against Git so it knows what actually changed vs just got touched?

The read-only review step after an agent generates docs is the part I'd actually use — I keep opening plan.md in my editor and half-editing it out of reflex. The thing I'd test first: when it renders the HTML previews, does it sandbox them to static rendering, or do embedded <script> tags and remote asset references actually execute inside the workspace? For agent-generated HTML I'd want to be sure nothing runs before I've read it.

What's the real benefit over markdownlivepreview.com?

I can definitely relate to the problem. After using AI coding tools, I often end up with plans, docs, and notes spread across multiple folders. Having a dedicated space just for reviewing Markdown and HTML before moving forward sounds really useful.

Congrats on the launch! Any plans to launch it for other platforms? (like Linux)

Thanks everyone for taking a look. I really appreciate the attention and feedback.

Feel free to ask me anything in the comments. I will use three quick Q&As below to explain the user pain I am thinking about and where I see the value of MD+HTML Reader.

Q: What problem does it solve?

AI coding tools now generate a lot of useful project documentation: implementation plans, API contracts, QA checklists, handoff notes, and HTML previews. The problem is that these files often live across different folders and get buried under source code, build outputs, logs, and dependencies.

MD+HTML Reader gives you one focused place to review the Markdown and HTML files that actually need attention.


Q: Why not just use VS Code or a browser?

VS Code is great for editing code, and browsers are great for opening web pages. But the review step is different.

When I am reviewing generated docs before the next prompt, commit, or handoff, I want a quieter read-only workspace: open the whole project folder, filter out project noise, preview Markdown and HTML, and keep recent context easy to return to.


Q: What are the most useful features?

The most useful features are project-folder scanning, Markdown/HTML filtering, read-only preview, recent documents, recently changed documents, document-title browsing when filenames are unclear, and quick navigation back to the context you were just reviewing.

AI coding tools generate a surprising amount of documentation now, but reviewing it is still pretty fragmented. Curious what percentage of your users are reviewing AI-generated docs versus human-written project documentation?The "before the next prompt, commit, or handoff" framing is interesting. In your own workflow, what type of AI-generated document caused the most pain and ultimately led you to build MD+HTML Reader?

About MD+HTML Reader on Product Hunt

Review AI-generated Markdown and HTML in a focused workspace

MD+HTML Reader launched on Product Hunt on June 22nd, 2026 and earned 117 upvotes and 19 comments, placing #10 on the daily leaderboard. AI coding tools produce useful docs, but reviewing them can get messy. One task can leave plans, API notes, QA checklists, handoffs, diagrams, and HTML previews scattered across project folders and buried under source files, builds, logs, and dependencies. MD+HTML Reader gives you a focused macOS workspace to review generated Markdown and HTML in read-only mode before the next prompt, commit, or handoff.

MD+HTML Reader was featured in Productivity (654.8k followers), Developer Tools (514.7k followers) and Artificial Intelligence (472.1k followers) on Product Hunt. Together, these topics include over 318.7k products, making this a competitive space to launch in.

Who hunted MD+HTML Reader?

MD+HTML Reader was hunted by Ahab. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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