Description
Trend Finder π¦
Stay on top of trending topics on social media β 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
-
Data Collection π₯
- Monitors selected influencersβ 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 Firecrawlβs /extract
- Runs on a scheduled basis using cron jobs
-
AI Analysis π§
- Processes collected content through Together AI
- Identifies emerging trends, releases, and news.
- Analyzes sentiment and relevance
-
Notification System π’
- 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
- π€ AI-powered trend analysis using Together AI
- π± Social media monitoring (Twitter/X integration)
- π Website monitoring with Firecrawl
- π¬ Instant Slack or Discord notifications
- β±οΈ 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:
# 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
-
Clone the repository:
git clone [repository-url] cd trend-finder
-
Install dependencies:
npm install
-
Configure environment variables:
cp .env.example .env # Edit .env with your configuration
-
Run the application:
# Development mode with hot reloading npm run start # Build for production npm run build
Using Docker
-
Build the Docker image:
docker build -t trend-finder .
-
Run the Docker container:
docker run -d -p 3000:3000 --env-file .env trend-finder
Using Docker Compose
-
Start the application with Docker Compose:
docker-compose up --build -d
-
Stop the application with Docker Compose:
docker-compose down
Project Structure
trend-finder/
βββ src/
β βββ controllers/ # Request handlers
β βββ services/ # Business logic
β βββ index.ts # Application entry point
βββ .env.example # Environment variables template
βββ package.json # Dependencies and scripts
βββ tsconfig.json # TypeScript configuration
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