Kappaemme-git/codex-first-customer-finder-skill

What it solves

This project solves the difficulty of finding early adopters and first customers for new startups or product ideas. It automates the research process of identifying people or companies who are publicly expressing pain points, demand, or timing signals that align with a product's value proposition.

How it works

The tool is a skill for the Codex platform that analyzes a startup's URL, repository, or description to define an Ideal Customer Profile (ICP). It then researches public sources for signals of demand or frustration with existing solutions. It qualifies these prospects based on evidence, ranks them by fit and timing, and generates a personalized outreach opener and a polished HTML report. All outreach remains manual to ensure quality and control.

Who it’s for

Founders, entrepreneurs, and B2B sales researchers who need to identify high-intent potential customers and design partners based on public evidence rather than cold-calling lists.

Highlights

• Evidence-Based Research: Links every prospect to the original public source of their pain or demand signal.
• Multiple Research Modes: Offers specialized modes for quick searches, deep analysis, design partner identification, and B2B company triggers.
• Manual-First Outreach: Drafts personalized openers but never sends messages automatically, avoiding spam.
• Comprehensive Reporting: Produces a responsive HTML report including ICP definitions, fit scores, and a seven-day outreach plan.