Conducts comprehensive cross-platform intelligence gathering with automated cascading research for people, companies, and topics.
Universal Deep Search is a high-performance intelligence tool for Claude Code that aggregates data from LinkedIn, Twitter, Reddit, Y Combinator, and the general web. It utilizes a unique cascading research methodology, where a search for a person automatically triggers an analysis of their company and colleagues, while company searches dive into leadership profiles and market context. By cross-referencing data across multiple platforms and applying automated confidence scoring, it provides deep, validated reports ideal for lead generation, competitive analysis, or investigative research.
Key Features
01Multi-platform intelligence across LinkedIn, X, Reddit, Instagram, and YC
02Deep profile extraction including post history, sentiment, and professional background
035 GitHub stars
04Automated cross-platform fact validation with confidence scoring (High/Medium/Low)
05Cascading research logic that automatically identifies and analyzes related entities
06Comprehensive executive reports with full source citations and cross-platform synthesis
Use Cases
01Comprehensive topic research and community sentiment analysis across social media
02Competitive intelligence and startup landscape analysis within specific industries
03Executive and founder background checks for investment due diligence or hiring