Firecrawl AI clearly explained (and how to make $$)

Synopsis
Greg pitches Firecrawl as the 'AWS moment for web data' — one API call that returns clean markdown, JSON and screenshots in place of thousands of lines of custom scraping code. Maps the five-layer AI agent stack (harness, search, web data, ops brain, outbound) and shares a dozen niche SaaS / lead-gen / data-as-a-service ideas with 95%+ margins, citing Constellation Software as the proof that vertical software always wins.
Ideas in this episode
- Open-source SaaS with paid hosted tiers
Greg positions Firecrawl-style web data APIs as a high-margin layer in the AI agent stack, with 95%+ margins and vertical SaaS/data opportunities.
- Data-as-a-service startup
Greg frames Firecrawl as an AWS moment for web data and lists niche SaaS, lead-gen, and data-as-a-service ideas with 95%+ margins.
- Web scraping API SaaS
Greg's Firecrawl framing supports a clean-data API for a specific vertical, replacing custom scraping with one call that returns markdown, JSON, and screenshots.