SaaS application
LeadIntel Pro
A full-stack workflow for organizing structured lead lists and applying AI-assisted lead scoring.
- Role
- Full-Stack Developer
- Project type
- SaaS application
- Next.js
- Supabase
- GPT-5-nano
Overview
Problem and context
Working with lead lists requires structured records and a repeatable way to evaluate them. The product needed to connect list management, database-backed lead data, and model-assisted scoring in one interface.
What was built
LeadIntel Pro is a Next.js SaaS product backed by Supabase, with UI for working with lead lists and a scoring workflow that uses GPT-5-nano.
My Contribution
- Built the full-stack product flow for working with lead lists and their structured data.
- Connected the Next.js interface to Supabase-backed data interactions.
- Integrated GPT-5-nano into the lead-scoring workflow.
Engineering
Product and server boundaries
Next.js provides the product interface and full-stack application boundary for moving between lead-list interactions, persisted data, and scoring operations.
Structured lead persistence
Supabase stores the lead-list data used by the product workflow rather than treating uploaded or entered lead information as temporary UI state.
Model integration
GPT-5-nano is used as part of the scoring workflow, with model output presented in the context of the lead records being reviewed.
Outcome
- Implemented a database-backed interface for working with structured lead lists.
- Connected lead records to an AI-assisted scoring workflow without claiming unverified usage or conversion metrics.
Tech Stack
- Next.js
- Supabase
- GPT-5-nano