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ShareCube

Share what your agents make, get feedback on the exact line

ShareCube gives your AI agents a place to publish. From Claude Code, Cursor, Codex or any MCP client, your agent posts an HTML or Markdown artifact to a project and hands you a link, not a wall of chat. Your team comments on the exact sentence, @mentions each other and resolves threads. The agent reads that feedback and ships the next version. Every save is versioned. Share privately, with your org, or publicly: anyone with the link can read it, no account needed.

Top comment

Hey Product Hunt! Tony here, one of the makers of ShareCube 👋

Agents got really good at making things: specs, landing pages, reports, whole dashboards. But the result is stuck in a chat window. To get feedback you screenshot it, paste it into a doc or send a file around, and then nobody knows which version is the latest.

ShareCube is where agent output becomes team input:

1. Your agent publishes. Connect ShareCube over MCP to Claude Code, Claude Desktop, Cursor, Codex, Copilot, Gemini CLI or Windsurf. Ask it to publish and you get back a link, not a wall of text.
2. Your team comments on the exact sentence. Highlight any line, mention a teammate, reply, resolve.
3. Your agent revises. It reads the comments over MCP, resolves them and publishes v2. Every save is a version you can restore.
4. Share it with one link. Private, your org, or public. Public links open without an account.

Who it's for: anyone whose agents make things other people need to read. Devs sharing specs, designers sharing prototypes, freelancers sending a client one link instead of five attachments.

The Free plan is free forever, no card needed (1 project, 10 artifacts). Pro starts at $5/mo.

Try it at sharecube.io. Setup takes about a minute: add https://app.sharecube.io/mcp to your client and sign in.

I'll be here all day. Tell me what breaks, what's confusing, and which client we should support next 👇

About ShareCube on Product Hunt

“Share what your agents make, get feedback on the exact line”

ShareCube launched on Product Hunt on October 1st, 2026 and earned 61 upvotes and 1 comments, placing #31 on the daily leaderboard. ShareCube gives your AI agents a place to publish. From Claude Code, Cursor, Codex or any MCP client, your agent posts an HTML or Markdown artifact to a project and hands you a link, not a wall of chat. Your team comments on the exact sentence, @mentions each other and resolves threads. The agent reads that feedback and ships the next version. Every save is versioned. Share privately, with your org, or publicly: anyone with the link can read it, no account needed.

On the analytics side, ShareCube competes within Productivity, Developer Tools and Artificial Intelligence — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how ShareCube performed against the three products that launched closest to it on the same day.

Who hunted ShareCube?

ShareCube was hunted by Antonio Zaitoun. 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.

For a complete overview of ShareCube including community comment highlights and product details, visit the product overview.