Simon

Simon is the 硬地骇客 guest in EP101 对话 Simon：AI 创业者的第一项基本功是把账算明白 and is introduced as the head of Mico AI Lab. He previously worked on Mico World’s Middle East game-social products, then shifted into AI applications for games, social, and pan-entertainment.

His background combines computer science, psychology, and cross-cultural psychology. In the episode, he treats psychology as a research discipline for product work: surveys, interviews, controlled comparisons, translation checks, and data analysis help teams understand users across language and cultural boundaries.

Key Points

• Simon argues that AI founders need to calculate unit economics before chasing technology heat.
• He sees pure Character AI-style companion chat as difficult when memory depth makes prompt cost rise with relationship history.
• He prefers AI game/social directions where market size, payment habits, user segments, and paid feature surfaces are easier to estimate.
• He values AI application hires who understand games, content, and business context, not only model technique.

Connections

• Mico AI Lab — team Simon leads.
• Mico World — company context for his Middle East game-social and AI work.
• Cross-Cultural User Research — research method he brings from psychology into product practice.
• Middle East Social Game Growth — growth case he explains from Mico’s earlier social product.
• AI Startup Unit Economics, AI Inference Cost Structure, and Product Led Willingness To Pay — his core AI startup evaluation frame.
• AI Interactive Entertainment and AI Game Industrialization — game/entertainment domain where his AI commercialization view applies.