Research · E-commerce
LeadScout
A domain-discovery and lead-research platform for potential e-commerce clients.
- Role
- Software Engineer
- Year
- 2026
- Technology
Research made sortable
Overview
LeadScout is conceived as a platform for domain discovery and structured lead research.
Overview
Context
The project combines web data, geographic signals, and a focused research interface.
Problem
Potential e-commerce opportunities are spread across many domains and sources and first need to become discoverable and comparable.
Solution
The known solution scope includes domain discovery, lead research, and sources such as Common Crawl and OpenStreetMap.
Architecture
Next.js and TypeScript form the application. Prisma and SQLite represent persistence, Zod schema validation, and Vitest testing.
Technical decisions
The choice of small, typed building blocks aims for a traceable research and data pipeline.
Challenges
Data quality, source coverage, validation, and distinguishing useful leads are central concerns of the project.
Outcome
No verified public metrics or outcome statements have been supplied.
Main functionality
- Domain discovery
- Lead research
- Common Crawl data processing
- Geographic research with OpenStreetMap
Visual
No verified screenshots were supplied — this visual remains deliberately typographic.