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Stealthee

Surfaces early go-to-market activity by analyzing changelogs, sitemaps, and product pages to power launch detection, founder/investor intelligence, and agent workflows.

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Stealthee is a developer-first system designed to detect and surface pre-public product signals before they become widely known. It functions as an MCP server, integrating search, content extraction, AI-powered scoring, and alerting into a modular, plug-and-play pipeline. By analyzing sources like changelogs, sitemaps, and product pages, Stealthee helps identify early go-to-market activity, providing valuable, fresh product intelligence for investors, founders, and researchers tracking emerging trends and competitive landscapes. It can be integrated into various AI stacks, including Claude, LangGraph, and Smithery.

Características Principales

  • Web search for stealth launches (Tavily)
  • 0 GitHub stars
  • AI-powered signal scoring for stealthiness (OpenAI)
  • End-to-end launch detection and alerting pipeline
  • Structured data parsing (e.g., pricing, changelog) from HTML
  • Content extraction and cleaning from any URL

Casos de Uso

  • Tracking emerging markets and technologies for researchers
  • Hunting for pre-traction signals for investors
  • Scanning for competitors before product launches for founders
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