This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Nativ Docs is the collaborative review room for AI-made work. Claude, Codex, and ChatGPT can draft specs, docs, and HTML decks in seconds. But sharing a link only lets people see the work—Nativ lets teams participate in it. • Render Markdown specs & standalone HTML presentations • Highlight exact passages to discuss in the margin • Capture decisions to feed the next prompt or commit • Connect directly to AI workflows via MCP
I’m thrilled to launch Nativ Docs. The collaborative review room for AI-made work.
The Problem We can now generate complete technical specs, strategy docs, and interactive HTML presentations in seconds with ai agents such as Codex and Claude code.
The bottleneck isn’t creation anymore, it’s reviewing: - Sharing a raw chat link is read-only. - Pasting Markdown into Slack loses formatting and scatters discussion. - Moving everything into heavy doc suites strips out code blocks and interactive layouts.
How Nativ Docs Works 1. Bring in the work: Load rendered Markdown or self-contained HTML artifacts (or push them straight from Claude Code / Codex via our MCP server). 2. Review in context: Invite your team to read the rendered artifact. 3. Anchor comments: Highlight exact text to spin up focused discussion threads in the margin. 4. Resolve to decisions: Capture agreed-upon changes so feedback directly improves the next draft or commit.
Try it out You can try Nativ Docs today with any Markdown spec or HTML artifact. We also built an open MCP server (`@nativdocs/mcp`) so your AI agents can spin up review rooms autonomously.
to answer your question directly - right now my team's "review" step is just pasting the AI's markdown into a Google Doc and leaving suggestion-mode comments, which is exactly the formatting-loss problem you're describing. the part I'm curious about is step 4, resolve to decisions - once comments are marked resolved, does that turn into structured context that gets fed back into Claude Code or Codex for the next generation automatically via the MCP server, or is copying the resolved feedback back into the coding agent still a manual step on our end
Congrats on the launch ! I have added this as a skill which is very helpful when I am trying to navigate a new code base
About Nativ Docs on Product Hunt
“The collaborative review room for AI-made work.”
Nativ Docs was submitted on Product Hunt and earned 5 upvotes and 8 comments, placing #23 on the daily leaderboard. Nativ Docs is the collaborative review room for AI-made work. Claude, Codex, and ChatGPT can draft specs, docs, and HTML decks in seconds. But sharing a link only lets people see the work—Nativ lets teams participate in it. • Render Markdown specs & standalone HTML presentations • Highlight exact passages to discuss in the margin • Capture decisions to feed the next prompt or commit • Connect directly to AI workflows via MCP
Nativ Docs was featured in Productivity (659.6k followers) and Developer Tools (518.6k followers) on Product Hunt. Together, these topics include over 239k products, making this a competitive space to launch in.
Who hunted Nativ Docs?
Nativ Docs was hunted by Ankur Rustagi. 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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Ankur Rustagi
Hey Product Hunt! 👋
I’m thrilled to launch Nativ Docs. The collaborative review room for AI-made work.
The Problem
We can now generate complete technical specs, strategy docs, and interactive HTML presentations in seconds with ai agents such as Codex and Claude code.
The bottleneck isn’t creation anymore, it’s reviewing:
- Sharing a raw chat link is read-only.
- Pasting Markdown into Slack loses formatting and scatters discussion.
- Moving everything into heavy doc suites strips out code blocks and interactive layouts.
How Nativ Docs Works
1. Bring in the work: Load rendered Markdown or self-contained HTML artifacts (or push them straight from Claude Code / Codex via our MCP server).
2. Review in context: Invite your team to read the rendered artifact.
3. Anchor comments: Highlight exact text to spin up focused discussion threads in the margin.
4. Resolve to decisions: Capture agreed-upon changes so feedback directly improves the next draft or commit.
Try it out
You can try Nativ Docs today with any Markdown spec or HTML artifact. We also built an open MCP server (`@nativdocs/mcp`) so your AI agents can spin up review rooms autonomously.
Sample presentation: https://www.nativdocs.co/s/KzuDX...
Would love to hear how your team currently review AI-generated specs and artifacts?
We'll be here to answer questions and chatting in the comments! 🚀