Greg Isenberg treats GitHub as an early signal for products, services and workflows that may become mainstream later. His selection focuses on repositories that a builder can install now, use to save time or improve a product, and potentially turn into a paid service.
The examples include a writing skill that removes recognizable AI phrasing while preserving the author's ideas, and an agent-oriented CRM that lets software research contacts, enrich records and keep relationship data useful without relying entirely on manual updates. Isenberg recommends starting with human ideas and using AI as an editor or operator rather than asking it to invent everything in one shot.
He also stresses operational risk. A skill scanner can inspect files before installation, including a static mode that avoids sending private contents to a model, while a phone-control harness lets coding agents test real iPhone and Android flows through existing device tools. The broader opportunity is to validate one useful workflow first, then decide whether it should remain an internal advantage or become a product for others.
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