Sim-Fluence - verify your audiance

AI-powered audience simulation to optimize your content before you publish

Features • Demo • Installation • Usage • Architecture • AI Integration • Contributing • Security • License

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🧠 Overview

Sim-Fluence is a next-generation content testing platform that leverages agent-based simulation and social graph modeling to forecast how real-world audiences might respond to your content—before you share it. Whether you're a marketer, content creator, or business strategist, Sim-Fluence empowers you to optimize your messaging, design for virality, and uncover audience insights through AI-powered simulations.

🌍 Flow diagram

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🚀 Features

🎭 Human-Like Agent Simulation

Model thousands of unique AI agents with personalized personas, preferences, and social connections that mimic real audiences.

📈 Predictive Virality Analysis

Estimate your content’s potential reach and viral performance using engagement simulations across diverse audience clusters.

💬 Realistic AI-Generated Feedback

Get feedback in the form of genuine-like comments, reactions, and suggestions—crafted by simulated agents mirroring your target demographics.

🌐 Influence Spread Mapping

Visualize content propagation and peer-to-peer influence through social graph simulations, giving you insight into who shares and why.

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🔗 Demo

Experience Sim-Fluence live: sim-fluence-demo.vercel.app

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⚙️ Installation

Prerequisites

• Node.js (v18+)
• npm or yarn
• Git
• Google API Key for Gemini access

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📦 Frontend Setup

git clone https://github.com/your-username/sim-fluence.git
cd sim-fluence/Frontend
npm install # or yarn install

Environment Variables

Create a .env file in the Frontend/ directory with:

NEXT_PUBLIC_API_URL=http://localhost:3001/api
NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY=your_clerk_publishable_key
CLERK_SECRET_KEY=your_clerk_secret_key
GOOGLE_API_KEY=your_google_api_key

Run the Dev Server

npm run dev # or yarn dev

Open http://localhost:3000

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💠 Backend Setup

cd ../Backend
npm install # or yarn install

Environment Variables

Create a .env file in the Backend/ directory:

PORT=3001
DATABASE_URL=your_database_connection_string
JWT_SECRET=your_jwt_secret
GOOGLE_API_KEY=your_google_api_key

Run the Backend Server

npm run dev # or yarn dev

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🧪 Usage

Creating a Simulation

1. Log in to your Sim-Fluence account
2. Go to New Simulation
3. Upload or enter your content
4. Select audience demographics and behavior models
5. Run the simulation
6. Review metrics, feedback, and recommendations

Understanding Results

• Engagement Score – Overall interaction level
• Virality Potential – Predicted shareability across networks
• Sentiment Breakdown – Agent sentiment toward the content
• Audience Segments – Reaction analysis by demographic groups
• Optimization Suggestions – Actionable AI-based improvements

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🧱 Architecture

🖥️ Frontend

• Next.js
• React
• TypeScript
• Tailwind CSS
• Clerk (authentication)

⚙️ Backend

• Node.js + Express
• MongoDB / PostgreSQL
• Google Gemini API (for simulation and analysis)

🧰 Infrastructure

• Frontend Hosting: Vercel
• Backend Deployment: Railway / Heroku
• CI/CD: GitHub Actions

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🤖 AI Integration

Sim-Fluence leverages Google Gemini AI to:

• Craft detailed agent personas with individual biases and behaviors
• Simulate human-like responses across different content types
• Perform granular sentiment and intent analysis
• Identify amplification patterns and niche audience reactions
• Recommend data-driven optimizations

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📁 Project Structure

sim-fluence/
├── Frontend/               # Next.js frontend
│   ├── app/                # App routes
│   ├── components/         # UI components
│   ├── lib/                # Utilities
│   └── public/             # Static files
├── Backend/                # Express backend
│   ├── controllers/        # Route handlers
│   ├── models/             # MongoDB/PostgreSQL models
│   ├── routes/             # API endpoints
│   └── services/           # Core business logic
└── docs/                   # Documentation and guides

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📡 API Reference

RESTful API documentation available at api-docs.sim-fluence.com

Key Endpoints:

• POST /api/simulations – Launch a new simulation
• GET /api/simulations/:id – Retrieve simulation output
• GET /api/agents – View agent profiles
• POST /api/feedback – Generate AI-based content feedback

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🤝 Contributing

We welcome developers, researchers, and creators to contribute!

Development Workflow

1. Fork the repository
2. Create a feature branch: git checkout -b feature/your-feature-name
3. Commit your changes: git commit -m "Add: new feature"
4. Push your branch: git push origin feature/your-feature-name
5. Submit a pull request 💠

Please refer to our Contributing Guide for more details.

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🔒 Security

Your data and privacy are our top priorities. If you discover a vulnerability, please refer to our Security Policy for responsible disclosure guidelines.

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📜 License

This project is open-source under the MIT License. See LICENSE for details.

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📨 Support

For questions, ideas, or assistance, reach out at [email protected]

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🙌 Acknowledgements

• Google Gemini – for advanced AI capabilities
• Next.js – for powering our frontend
• Clerk – for seamless authentication
• Team Code for Change – for building this vision into reality

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Made with ❤️ by Team Code for Change