dot.

Product Introduction

1. Definition: dot. is a cloud-based, interactive feedback and prototyping collaboration platform. Technically, it is a Software-as-a-Service (SaaS) tool that provides instant hosting, versioning, and in-context commenting for web-based prototypes and live URLs.
2. Core Value Proposition: It exists to eliminate the friction and technical overhead of sharing and collecting feedback on digital prototypes, especially those built with AI tools like Claude. Its primary value is enabling instant, permissioned sharing and visual feedback collection without requiring deployments, repositories, or reviewer accounts.

Main Features

1. Instant AI Prototype Hosting: dot. provides immediate, ephemeral hosting for web artifacts generated by AI coding assistants. It works by integrating directly via an official Anthropic Model Context Protocol (MCP) connector. When a user instructs Claude to "share this with dot.," the connector programmatically sends the generated HTML, CSS, and JavaScript to dot.'s servers, which then host it at a unique, versioned URL. This bypasses the need for manual code extraction, repository creation, or deployment configuration.
2. Universal URL Feedback Layer: For any existing live website or web application, dot. overlays a collaborative feedback system. Users paste any public URL into their dot. dashboard to generate a shareable "dot link." When reviewers open this link, they can click anywhere on the live page to pin a comment. This works by injecting a lightweight JavaScript layer onto the target page, enabling comment placement via screen coordinates without altering the original source code.
3. Frictionless Reviewer Experience: A core technical feature is its zero-barrier entry for feedback providers. Reviewers require no dot. account, no browser extension, and no login. They access the shared link directly in any modern browser. The commenting interface is served from dot.'s domain, ensuring cross-origin functionality. This is achieved through secure, tokenized link sharing and a client-side SDK that manages session state anonymously.

Problems Solved

1. Pain Point: The "deploy to share" bottleneck. Developers, designers, and product teams waste significant time setting up GitHub repos, configuring deployment services (Vercel, Netlify), and managing environment variables just to get a preliminary prototype in front of stakeholders for basic feedback.
2. Target Audience: Primary personas include AI-Powered Builders (using Claude, v0, Cursor, Lovable), Frontend Developers and Engineers seeking rapid internal reviews, Product Managers coordinating feedback from non-technical stakeholders, UX/UI Designers needing feedback on interactive prototypes beyond static images, and Agency Teams requiring client feedback on development milestones.
3. Use Cases: Specific scenarios include: sharing a Claude-generated UI mockup with a client within the same conversation thread; collecting bug reports and enhancement requests from QA testers on a staging environment; gathering design feedback from marketing teams on a live marketing page; facilitating asynchronous design critiques where comments are pinned directly to UI elements.

Unique Advantages

1. Differentiation: Unlike traditional feedback tools (e.g., Figma comments, which are for static frames, or tools like Marker.io that require installation), dot. operates on live, interactive web pages. Unlike generic screenshot annotation tools, it provides a persistent, versioned link to a hosted asset. Compared to full deployment platforms, it requires zero configuration and is purpose-built for speed and simplicity in the early feedback loop.
2. Key Innovation: The deep, official integration with AI coding workflows via the Anthropic MCP connector is its key innovation. This allows the prototype sharing action to become a natural extension of the AI build conversation, collapsing what was previously a multi-step, multi-tool process into a single AI command. The technology of overlaying a collaborative layer on any URL without requiring backend changes is also a significant technical advantage.

Frequently Asked Questions (FAQ)

1. How does dot. work with Claude AI? dot. integrates with Claude via an official Model Context Protocol (MCP) connector. Once connected, you can simply tell Claude to "share this with dot." within your conversation. Claude will send the code it generated to dot.'s servers, which instantly host it and provide you with a shareable review link, all without leaving the chat interface.
2. Is dot. free for reviewers and clients? Yes, absolutely. Anyone receiving a dot. link to provide feedback can open it in their browser and leave comments without ever creating an account, paying, or installing any software. The freemium model only applies to the creator sharing the prototypes.
3. What is the difference between dot. and a deployment service like Vercel? Vercel is a full-production deployment platform for web applications requiring code repositories and build processes. dot. is a lightweight, immediate hosting and feedback layer designed for rapid prototyping and review. It does not require a repo, build step, or configuration, making it faster for pure feedback cycles but not suited for production hosting.
4. Can I use dot. on a website I didn't build? Yes. The "Paste any URL" feature allows you to create a feedback layer on any publicly accessible website. This is useful for collecting feedback on competitors' sites, live production sites, or third-party tools. You generate a dot. link that points to the target URL with the commenting overlay enabled.
5. How does dot. handle versioning of prototypes? When you share a new version of a prototype from Claude or re-paste a URL, dot. creates a new, unique link. This allows you to maintain a history of shared iterations. In the paid Individual and Team plans, you have access to longer feedback history, effectively providing version control for the feedback collected on each iteration.