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.

- 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.
- Framework: Next.js
- Language: TypeScript
- Styling: Tailwind CSS
- AI: Google's Genkit
- UI Components: shadcn/ui
To get a local copy up and running, follow these simple steps.
- Node.js (v18 or later)
- npm
- Clone the repo
git clone https://github.com/your_username/studio.git
- Install NPM packages
npm install
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.
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
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.