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What is PinAppAI?

PinAppAI serves as a visual feedback platform that effectively converts requests for changes to websites into well-structured tasks suitable for AI coding agents. Users can easily place pins on different elements of an active website and express their desired modifications through straightforward text or voice commands. The AI agents, including Claude Code and Codex, receive these comprehensive requests, which detail specific elements, text selections, and precise visual captures. The platform features four unique pinning modes: free-form pins that utilize percentage-based positioning, element pins for accurate targeting of HTML elements, screenshot pins for precise image captures, and text-selection pins that make find-and-replace tasks straightforward. PinAppAI integrates smoothly with AI coding solutions via the Model Context Protocol, allowing reviewers to make annotations directly on live sites while AI agents propose modifications within the editing environment. It supports multiple AI tools, such as Claude Code, Cursor, Continue, Codex, and Claude Desktop. Users can engage with PinAppAI through various methods, including review links, embedded widgets, a Chrome extension, and a macOS application, providing flexibility and ease of use for a diverse range of users. This all-encompassing approach not only streamlines web development processes but also enhances collaboration among team members, making it an invaluable resource in the digital landscape.

What is LayerDock?

LayerDock provides a collaborative online workspace designed for teams and clients to detect website issues, gather pertinent information, and effectively share solutions. Users can easily create a Dock for any website without the hassle of downloads or Chrome extensions, allowing them to place pins directly on live pages. Each pin collects essential data, including a screenshot, CSS selector, viewport dimensions, console logs, network requests, and information about the browser and operating system. Clients can give feedback through a simple shared review link, which means they do not need to get acquainted with your development workflow, while internal notes remain private. The platform enables users to review from multiple devices, record their screens, inspect elements, perform in-browser accessibility checks, and annotate screenshots as required. In addition, users can assign pins, track their progress, and participate in threaded discussions. The tool integrates smoothly with various platforms like Slack, Jira, Linear, GitHub, Trello, and ClickUp, or it can send pins directly to coding assistants like Claude Code and Cursor through MCP, including all relevant context. As a viable alternative to platforms such as BugHerd, Marker.io, and MarkUp.io, LayerDock also offers a complimentary plan to help users get started. By improving communication and organization, it seeks to simplify the website issue resolution process for all parties involved, ultimately fostering a more efficient workflow. This makes it an excellent choice for teams looking to enhance their collaborative efforts while addressing website challenges.

Media

No images available

Media

No images available

Integrations Supported

Claude Code
Claude Desktop
Continue
Cursor
Google Chrome
OpenAI Codex

Integrations Supported

Model Context Protocol (MCP)

API Availability

API Availability

Pricing Information

$9/month/user
Free Version

Pricing Information

$15/month
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Mac
Chromebook

Supported Platforms

SaaS
Chromebook

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

PinAppAI

Date Founded

2026

Company Location

Turkey

Company Website

pinappai.com

Company Facts

Organization Name

LayerDock

Date Founded

2026

Company Location

United States

Company Website

layerdock.io

Categories and Features

Visual Feedback

Not specified

Categories and Features

Design Feedback

Not specified

Visual Feedback

Not specified

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