DropIntel

Overview

DropIntel mines targeted subreddits for pain points and product signals, then aggregates insights into structured research briefs for ecommerce product development.

Problem

Manual Reddit research is time-consuming and inconsistent. Finding genuine pain points and product opportunities across hundreds of threads requires hours of reading and note-taking.

Solution

• Targeted Scraping: Monitor specific subreddits for product-related discussions
• Pain Point Extraction: AI identifies genuine problems and frustrations
• Signal Aggregation: Cluster similar pain points for trend analysis
• Research Briefs: Auto-generated reports with sourcing recommendations

Tech Stack

• Scraping: Reddit API + custom crawlers
• Database: PostgreSQL for storage and analysis
• AI/NLP: OpenAI for sentiment and extraction
• Embeddings: Cluster similar discussions for patterns

Impact

• 10x Research Speed: Days → hours for comprehensive category analysis
• Data-Driven Sourcing: Evidence-based product decisions
• Trend Detection: Early identification of emerging needs

Features

• Configurable subreddit targeting
• Pain point sentiment scoring
• Export to CSV/PDF for sharing
• Historical trend tracking
• Integration with EcomRadar for complete research pipeline