trendFinder
Stay on top of trending topics on social media and the web with AI
Stars: 2152
Trend Finder is a tool designed to help users stay updated on trending topics on social media by collecting and analyzing posts from key influencers. It sends Slack notifications when new trends or product launches are detected, saving time, keeping users informed, and enabling quick responses to emerging opportunities. The tool features AI-powered trend analysis, social media and website monitoring, instant Slack notifications, and scheduled monitoring using cron jobs. Built with Node.js and Express.js, Trend Finder integrates with Together AI, Twitter/X API, Firecrawl, and Slack Webhooks for notifications.
README:
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 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.
-
Data Collection π₯
- 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
-
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 notifications based on cron job setup
- Provides context about the trend and its sources
- Enables quick response to emerging opportunities
- π€ AI-powered trend analysis using Together AI
- π± Social media monitoring (Twitter/X integration)
- π Website monitoring with Firecrawl
- π¬ Instant Slack notifications
- β±οΈ Scheduled monitoring using cron jobs
- Runtime: Node.js with TypeScript
- Framework: Express.js
- AI/ML: Together AI
-
Data Sources:
- Twitter/X API
- Firecrawl
- Notifications: Slack Webhooks
- Scheduling: node-cron
-
Development:
- nodemon for hot reloading
- TypeScript for type safety
- Express async handler for error management
- Node.js (v14 or higher)
- npm or yarn
- Docker
- Docker Compose
- Slack workspace with webhook permissions
- API keys for required services
Copy .env.example to .env and configure the following variables:
# Required: API key from Together AI for trend analysis (https://www.together.ai/)
TOGETHER_API_KEY=your_together_api_key_here
# 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
# Required: Incoming Webhook URL from Slack for notifications
SLACK_WEBHOOK_URL=https://hooks.slack.com/services/YOUR/WEBHOOK/URL
-
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
-
Build the Docker image:
docker build -t trend-finder . -
Run the Docker container:
docker run -d -p 3000:3000 --env-file .env trend-finder
-
Start the application with Docker Compose:
docker-compose up --build -d
-
Stop the application with Docker Compose:
docker-compose down
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
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add some amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
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