Product Hunt Competitor Tracker
Fetches Product Hunt data on competitor products, including launches, daily rankings, upvotes, comments, and maker details. Product managers, marketers, and analysts use it to monitor launch performance, benchmark rivals, and detect market trends.
product-hunt
competitor-tracking
launch-analytics
|Overview
The Product Hunt Competitor Tracker MCP server delivers programmatic access to Product Hunt data specifically for competitor monitoring. It enables querying of product launches, performance metrics, and rankings, allowing AI agents to retrieve structured data without scraping or manual checks.
This server supports competitive intelligence by focusing on key Product Hunt signals like daily features and engagement stats.
Key Capabilities
- get_product_info(product_slug): Retrieves details for a product such as upvotes, comments count, launch date, tags, and maker profiles.
- get_featured_products(date): Returns products featured on Product Hunt for a specific date, including rank and basic metrics.
- search_products(query): Searches products by keyword, tag, or category to identify potential competitors.
- get_upvote_trends(product_slug): Fetches historical upvote data and growth patterns for performance analysis.
Use Cases
- Monitor daily launches: Call get_featured_products('2024-10-01') to list top products and use get_product_info for competitors in your niche.
- Benchmark performance: Compare get_upvote_trends data between your product and rivals to assess engagement.
- Discover threats: Use search_products('AI writing tool') to find new entrants and track their get_product_info.
- Generate reports: Aggregate data from get_featured_products and search_products for weekly competitor summaries.
Who This Is For
- Product managers benchmarking launches.
- Growth marketers analyzing competitor strategies.
- Indie hackers and startup founders tracking similar products.
- Data analysts creating Product Hunt dashboards.