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Web4 Community Studio

Web4 Community Studio is a modern, full-stack web application built with Next.js, TypeScript, and Tailwind CSS. It features a comprehensive dashboard designed for community management, content strategy, and task organization. The application leverages the power of Google's Genkit to provide AI-driven insights and content suggestions.

Screenshot 2025-10-04 9 45 38 PM

Features

  • Dashboard: A central hub for all your management needs.
  • Community Analyzer: Analyze community trends and gain valuable insights.
  • Content Board: Visualize and manage your content pipeline.
  • Goal Setting: Define and track your community and content goals.
  • Content Planner: Plan your content strategy with an easy-to-use interface.
  • Task Management: Organize your workflow and keep track of your tasks.
  • Content Templates: Create and manage templates for your content.
  • AI-Powered Suggestions: Get AI-driven suggestions for content templates and trend analysis.

Tech Stack

Getting Started

To get a local copy up and running, follow these simple steps.

Prerequisites

  • Node.js (v18 or later)
  • npm

Installation

  1. Clone the repo
    git clone https://github.com/your_username/studio.git
  2. Install NPM packages
    npm install

Running the Application

To run the application in a development environment, use the following command:

npm run dev

Open http://localhost:3000 with your browser to see the result.

Project Structure

The project structure is organized as follows:

/
├── src/
│   ├── app/                # Next.js App Router pages
│   │   └── dashboard/      # Dashboard pages
│   ├── components/         # Reusable UI components
│   ├── ai/                 # Genkit AI flows and configuration
│   ├── hooks/              # Custom React hooks
│   └── lib/                # Utility functions and libraries
├── public/                 # Static assets
└── ...                     # Configuration files

AI Features

The application utilizes Google's Genkit to provide the following AI-powered features:

  • analyze-community-trends: This flow analyzes community data to identify emerging trends and provide insights to the user.
  • content-template-suggestions: This flow generates suggestions for content templates based on the analyzed trends and user input.

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