We are building a pricing intelligence tool that analyzes eBay listings and returns comparable market data.
The backend is already live + TypeScript on Vercel, Supabase DB). The API connects to eBay Browse and Finding APIs and retrieves active and sold comparable listings.
We are looking for a developer to improve:
• Title parsing & normalization logic
• Model detection (e.g. Neverfull vs Never-Full vs Never Full)
• Material detection (Epi, Damier, Croco, etc.)
• Sold query builder logic
• Filtering of irrelevant comps
• Confidence scoring logic
The goal is to significantly improve matching precision and scoring accuracy.
Important:
• You must use your own eBay Developer AppID for testing.
• No production keys will be shared.
• Work will be done via GitHub PR.
• IP transfer required.
• NDA required.
Tech stack:
•
• TypeScript
• Supabase
• Vercel serverless
• eBay Browse + Finding APIs
Please describe:
- Your experience with eBay APIs
- Your experience with marketplace data normalization
- How you would improve model/material detection
- How you would structure scoring logic
Budget: Fixed price preferred.
Contract duration of less than 1 month.
Mandatory skills: API,, JavaScript, TypeScript, RESTful API, SQL