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

A Codex skill that finds evidence-backed potential first customers from recent public signals.

Repository: https://github.com/Kappaemme-git/codex-first-customer-finder-skill
Canonical: https://ross.abutalabs.com/products/codex-first-customer-finder-skill
Language: Python
License: MIT
License Family: permissive
Topics: codex, codex-skill, customer-discovery, early-adopters, prospecting, startup
Last push: 2026-08-24T11:58:50+00:00

## Health v2 (maintenance only)
Score: 57/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 3
- inputs: {"age_days": 52, "days_push": 9, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1006, forks 120 (observed 2026-08-28T04:03:12.152981+00:00)

## What it is
A Codex skill (plugin) that takes a startup URL or product idea and produces an evidence-backed shortlist of potential first customers from recent public signals. It scores prospect fit and timing, links sources, drafts outreach openers, and generates a standalone HTML report while keeping all outreach manual.

## Use cases
- find first customers for my startup
- identify early adopters from public pain signals
- build a prospect shortlist with evidence links
- find design partners for a new product
- b2b prospecting based on public business triggers
- draft personalized outreach openers
- generate a customer discovery report

## When to choose
- you use Codex and want automated customer discovery research
- you need evidence-backed prospecting rather than scraped contact lists
- you want manual, respectful outreach with source-based openers
- you're validating demand for an early-stage product

## When to avoid
- you want automated email sending or contact enrichment
- you need a standalone app rather than a Codex skill
- you require guaranteed or verified customers rather than hypotheses
- you don't use Codex or an agent runtime

## Facets
- artifact type: plugin
- maturity: active
- function: agent-framework, web-scraping, data-generation, analytics, llm-inference
- domain: artificial-intelligence, developer-tools
- platform: python, cli, cross-platform
- tags: codex-skill, customer-discovery, prospecting, early-adopters, lead-generation, startup-tools, icp, outreach, ai-agents, automation

## Member repositories
- Kappaemme-git/codex-first-customer-finder-skill (main) score 57

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:12.152981+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:12:43.989064+00:00, confidence not recorded.
  - readme: https://github.com/Kappaemme-git/codex-first-customer-finder-skill (fetched 2026-08-28T04:03:12.152981+00:00, sha 44201102d12b)
- Data as of 2026-08-30T08:39:29.467469+00:00.