---
id: ins_ciana-abdollahian-vibe-coded-customer-discovery-tool
title: "Vibe-coding a lightweight internal tool solves the 'I need a customer who' request gap."
operator: Ciana Abdollahian
operator_role: 'Customer marketer navigating a LinkedIn identity crisis | Unsolicited job search advice, AI experiments, and all things customer marketing'
source_url: https://www.linkedin.com/feed/update/urn:li:activity:7408051323704741888/
source_type: thread
source_title: "Vibe-coding a lightweight internal tool solves the 'I need a customer who' reque"
source_date: 2026-04-10
captured_date: 2026-05-03
domain: [customer-success, gtm, pmm]
lifecycle: [launch]
maturity: applied
artifact_class: framework
score: { originality: 3, specificity: 3, evidence: 2, transferability: 3, source: 3 }
tier: B
related: []
raw_ref: raw/linkedin/reactions/linkedin-reactions-2026-04-10.md
---

# Vibe-coding a lightweight internal tool solves the 'I need a customer who' request gap.

## Claim
I built a simple internal tool that lets GTM teammates type in specific customer criteria (e.g., 'Midmarket & enterprise customers using Customer Hub I can name-drop') and returns matching customers with health score, ARR, products used, case studies, and more.

## Mechanism
The tool works by pulling structured data from a Tableau dashboard into a CSV, then using a simple interface to filter and surface relevant customers. This fills the gap between formal reference management tools and quick, early-stage customer discovery requests.