// product scaling

Source: Glasp

This case study shows that distribution and user acquisition can be mechanized through AI-assisted operations, letting a founding team run multiple concurrent products without hiring. The constraint has shifted from engineering to decision-making bandwidth and automating routine tasks like customer support, content moderation, and product iteration. This challenges the assumption that growth velocity requires headcount, though it works best for tools with strong network effects or habit formation that reduce personalized support needs.