Launch an AI-powered Amazon product research SaaS (private-label sellers)

A Cursor-built SaaS that finds, validates and sources private-label Amazon product ideas in minutes.

Summary

Build a focused product-research tool for Amazon private-label sellers that automates data aggregation, scoring, and sourcing workflows. Ship a single high-ROI feature MVP (product discovery/validation) quickly with Cursor, host on Vercel, store on Supabase, use Apify for data, and offer a Chrome extension for in-page tooling.

Problem

Private-label sellers spend 20–30 hours per product researching and copy-pasting data across sheets and tools.

Target customer

Amazon private-label sellers and Amazon coaching program members

Solution

SaaS that scrapes marketplace data, scores product opportunities, surfaces sourcing leads, and provides one-click exports — accessible via web app and Chrome extension.

Business model

subscription (monthly tiers)special pricing / affiliate offers for partner communitiesrevenue share for integrated sourcing/referral deals

Distribution

partnerships with coaching companies and communitieschrome web store (extension)reddit/facebook groups and niche forumsdirect outreach to active sellers

Required skills

domain knowledge of amazon private-label workflowsai/prompt engineering (cursor)basic web app wiring (cursor + vercel + supabase)data scraping/integration (apify)product design and partner outreach

Source evidence

How I built my first SaaS without an audience ($25K/month)

"I built it with Cursor in 48 hours."