ericciarla/trendFinder

Trend Finder 🔦

Stay on top of trending topics on social media — all in one place.

Trend Finder collects and analyzes posts from key influencers, then sends a Slack or Discord notification when it detects new trends or product launches. This has been a complete game-changer for the Firecrawl marketing team by:

• Saving time normally spent manually searching social channels
• Keeping you informed of relevant, real-time conversations
• Enabling rapid response to new opportunities or emerging industry shifts

Spend less time hunting for trends and more time creating impactful campaigns.

Watch the Demo & Tutorial video

Learn how to set up Trend Finder and start monitoring trends in this video!

How it Works

1. Data Collection 📥

   • Monitors selected influencers’ posts on Twitter/X using the X API (Warning: the X API free plan is rate limited to only monitor 1 X account every 15 min)
   • Monitors websites for new releases and news with Firecrawl’s /extract
   • Runs on a scheduled basis using cron jobs

2. AI Analysis 🧠

   • Processes collected content through Together AI
   • Identifies emerging trends, releases, and news.
   • Analyzes sentiment and relevance

3. Notification System 📢

   • When significant trends are detected, sends Slack or Discord notifications based on cron job setup
   • Provides context about the trend and its sources
   • Enables quick response to emerging opportunities

Features

• 🤖 AI-powered trend analysis using Together AI
• 📱 Social media monitoring (Twitter/X integration)
• 🔍 Website monitoring with Firecrawl
• 💬 Instant Slack or Discord notifications
• ⏱️ Scheduled monitoring using cron jobs

Prerequisites

• Node.js (v14 or higher)
• npm or yarn
• Docker
• Docker Compose
• Slack workspace with webhook permissions
• API keys for required services

Environment Variables

Copy .env.example to .env and configure the following variables:

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# Optional: API key from Together AI for trend analysis (https://www.together.ai/)
TOGETHER_API_KEY=your_together_api_key_here

# Optional: API key from DeepSeek for trend analysis (https://deepseek.com/)
DEEPSEEK_API_KEY=

# Optional: API key from OpenAI for trend analysis (https://openai.com/)
OPENAI_API_KEY=

# Required if monitoring web pages (https://www.firecrawl.dev/)
FIRECRAWL_API_KEY=your_firecrawl_api_key_here

# Required if monitoring Twitter/X trends (https://developer.x.com/)
X_API_BEARER_TOKEN=your_twitter_api_bearer_token_here

# Notification driver. Supported drivers: "slack", "discord"
NOTIFICATION_DRIVER=discord

# Required (if NOTIFICATION_DRIVER is "slack"): Incoming Webhook URL from Slack for notifications
SLACK_WEBHOOK_URL=https://hooks.slack.com/services/YOUR/WEBHOOK/URL

# Required (if NOTIFICATION_DRIVER is "discord"): Incoming Webhook URL from Discord for notifications
DISCORD_WEBHOOK_URL=https://discord.com/api/webhooks/WEBHOOK/URL

Getting Started

1. Clone the repository:

   1 2	git clone [repository-url] cd trend-finder

2. Install dependencies:

   1	npm install

3. Configure environment variables:

   1 2	cp .env.example .env # Edit .env with your configuration

4. Run the application:

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   # Development mode with hot reloading npm run start # Build for production npm run build

Using Docker

1. Build the Docker image:

   1	docker build -t trend-finder .

2. Run the Docker container:

   1	docker run -d -p 3000:3000 --env-file .env trend-finder

Using Docker Compose

1. Start the application with Docker Compose:

   1	docker-compose up --build -d

2. Stop the application with Docker Compose:

   1	docker-compose down

Project Structure

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trend-finder/
├── src/
│   ├── controllers/    # Request handlers
│   ├── services/       # Business logic
│   └── index.ts        # Application entry point
├── .env.example        # Environment variables template
├── package.json        # Dependencies and scripts
└── tsconfig.json       # TypeScript configuration

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request