Athlete Scouting Platform
A production platform developed collaboratively to support athlete scouting workflows. Aetarix’s contribution focused on database architecture and smoother workflow interactions.
The project in context
This confidential athlete scouting platform was developed by a two-person team using React and Node.js. Talha Azfar’s contribution focused on designing the database architecture and improving important user workflows, including drag-and-drop interactions. The objective was to make information easier to organize and help scouts move through their working process more naturally. The system reached production and is currently used by real athlete scouts. Because the engagement is confidential, the client identity, product name, operational data and internal screenshots are not disclosed. This case study describes Aetarix’s contribution accurately without presenting the complete collaborative project as work delivered exclusively by Aetarix.
What the system supports
How the system is structured
A high-level view that avoids exposing confidential implementation details.
- 01
React Interface
Provides the user-facing application and interactive workflow experience.
- 02
Node.js Application Layer
Supports the platform’s backend application behavior.
- 03
Data Architecture
Structures the relationships needed by the scouting platform without disclosing confidential implementation details.
Where this approach applies
Athlete scouting workflows
Sports talent evaluation teams
Structured athlete-information management
Workflow-heavy scouting operations
Building a workflow-intensive platform?
We can help structure the data, interactions and technical foundation around how the people using it actually work.