Niche data refinery that turns fragmented market information into clean, agent-ready intelligence
Collect messy, changing information in one niche and one city, refine it into structured data and decision-ready reports, sell the manual intelligence to businesses already serving that niche, and gradually turn the spreadsheet into a dashboard, API, MCP tool, and paid agent resource.
online BOTH Product / E-commerce
From Greg Isenberg — Cloudflare will make 1000+ AI millionaires at 10:30
Problem: Valuable competitive and market information is scattered across reviews, websites, directories, job posts, ads, PDFs, and other sources, making it difficult to collect, compare, and keep fresh.
For: Initially, marketing agencies, consultants, freelancers, software companies, and AI implementation providers that already sell into the chosen niche; later, the businesses that need the intelligence directly.
Examples
- Med spas: track competitor prices, treatments, review complaints, hiring, offers, and local market changes; the resulting intelligence could identify above-median Botox pricing, rising exosome-treatment promotion, confusing pricing complaints, or competitor hiring that signals capacity expansion.
Behind this: 12 build steps · 4 tools and how each is used · how to validate demand · 4 more real examples · 5 things the video never answers.
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