dot.
The feedback layer for anything you build with AI.
What it does
dot. is a feedback platform designed specifically for AI-generated prototypes. It lets you instantly create a shareable, live link for any prototype—whether built in Claude, Lovable, v0, Cursor, or any other AI tool. Instead of deploying to a staging server or sending static screenshots, you paste a URL or ask Claude (via its official MCP connector) to generate a dot. link. Once shared, reviewers open the link in any browser and click anywhere on the live page to pin a comment. No signup, no extension, no screenshots required. Reviewers are always free.
The platform offers three pricing tiers: a free plan (1 shared prototype, feedback on 3 screens, 30-day history), an Individual plan ($12/month for unlimited prototypes and screens), and a Team plan ($10/seat/month with shared workspaces and unlimited history). The core value proposition is eliminating the deploy step that often slows down sharing AI-built UIs.
Who it is for
dot. targets anyone building prototypes with AI, particularly the “vibe coding” community that rapidly generates interfaces in Claude, Lovable, v0, or Cursor. It’s ideal for solo developers, product managers, designers, and teams who need quick feedback loops without the overhead of setting up hosting, CI/CD, or inviting reviewers to yet another tool. By making the link the single point of truth, dot. reduces the friction between creating and validating ideas.
Why it matters
The current workflow for sharing AI prototypes often involves copying code out of an AI chat, deploying to a service like Vercel or Netlify, then asking stakeholders to install extensions or create accounts to leave feedback. dot. bypasses all that—a single click turns a conversation into a live, commentable URL. This speed matters because it lowers the barrier to user testing and iteration, which is critical in fast-moving AI development cycles.
Moreover, because reviewers never need to sign up, the product removes the biggest adoption barrier for non-technical stakeholders. The free tier is generous enough for early-stage experimentation, and the paid plans add storage and collaboration features as teams scale.
Launch signal
dot. launched on Product Hunt today (the source evidence was captured during launch). It has already secured an official MCP (Model Context Protocol) connector for Claude, listed in the Anthropic Claude directory. This integration means users can generate dot. links directly from within a Claude conversation with a simple command. The product is live and accepting sign-ups at leaveadot.com.
Brand and naming
The name “dot.” is minimal and evocative—a dot is the smallest mark you can make, and it becomes the pin that captures feedback. The period at the end suggests completeness and precision. The visual identity uses a simple dot icon, reinforcing the idea of leaving a pinpoint comment. The brand positioning is clear: it’s the fastest, most frictionless feedback layer for AI-built prototypes, emphasizing speed and ease of use. The tagline “The feedback layer for anything you build with AI” positions dot. as an essential part of the modern AI development stack.
Founder
Munimur Ashrafy
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