Skip to main content

We use cookies for analytics. Privacy

Back to Work
Sales & Marketing/ Case study

Verrow

Lead data quality and trusted-record workflow

Built with

TypeScript / React / Vite / Rust / SpacetimeDB / CSV Processing / CRM Workflows

Source code

Inside the project

01 / 02

Live local capture of the Verrow lead-data dashboard.

Verrow1 / 2

Verrow application dashboard for lead data quality workflows

Live local capture of the Verrow lead-data dashboard.

The brief

The problem

Lead lists are often messy, duplicated and incomplete. Teams import them into CRMs before checking data quality, then clean up afterwards.

Our approach

Built a Vite and TypeScript workflow that treats lead files as operational data: import, inspect, validate, normalize, and prepare records before they enter a CRM or outbound system.

Features

What it does

  1. 01

    Raw lead file intake

  2. 02

    Record validation workflow

  3. 03

    Deduplication and normalization planning

  4. 04

    CRM-ready data model

  5. 05

    Reviewable source code

Results

What happened

  • Public GitHub project

  • Validation, deduplication and normalization before CRM import

  • Typed workflow with a review step for each file

  • Creates reusable patterns for CSV intake, review, and trusted-record creation

Visibility
Public GitHub
Updated
May 2026
Focus
Lead data quality
Stack
React, Vite, Rust

Under the hood

Lead-data workflow that moves raw files through validation into CRM-ready trusted records.

frontend
backend
database
service
external
ImportReview and validatePersist clean recordsReady for outreach
Raw Lead Files
CSV and exported lists
Review UI
React/Vite interface
Validation Engine
Normalize and score records
Trusted Records
Clean operational data
CRM Workflow
Sales-ready handoff

Lead-data workflow that moves raw files through validation into CRM-ready trusted records.

Working on something similar?

Tell us what you are building or fixing.