Skip to content
Mazen Chaban, home
Back to projectsCase study 14 / 16 · 2026

Business application · Prospecting

Maztrack

From signal to next action.

A cockpit that links company research, qualification criteria and opportunity tracking.

Discuss a similar project
Sector
Business application · Prospecting
My scope
Node.js · SQLite · Fastify · JavaScript interface
Project status
Desktop application · Preview with fictitious data
The real Maztrack interface. Demo companies and figures.
The real Maztrack interface. Demo companies and figures.Enlarge the screenshot (new tab)
01 · Context

Turning signals into priorities.

I wanted to make qualification clearer and keep a record of the decisions taken on each company.

The application brings public data, signals and sales follow-up together in a local interface.

02 · Design

A qualification that explains itself.

01

Make the criteria visible

The score keeps the signals that explain it, so each qualification can be reviewed.

02

Keep the data local

SQLite holds the data and the history; exports make it possible to hand over the follow-up.

How it works

Inside Maztrack.

  1. 01Source
  2. 02Qualify
  3. 03Prioritise
  4. 04Follow up
03 · Delivery

Sourcing, follow-up and local exports.

The delivered scope

  • Sourcing from public sources and BODACC signals.
  • Criteria-based qualification and an explicit score.
  • Filters, targeting and opportunity tracking.
  • CSV and Excel exports, local SQLite storage.

What it changes

A company’s signals combined into one readable score, instead of a list of criteria to sort by hand.

You call the ones with a reason to answer first.

What about your project?

Let’s talk about your project.

An application, AI agents, a business need. Tell me what you want to build.

WhatsApp (new tab) 06 25 66 66 75