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Hands-on stories of building one-person companies, indie hacking, and AI startups: finding ideas, validating MVPs, bootstrapping on a budget, avoiding common pitfalls, and turning products into real revenue. Real cases, retrospectives, and playbooks.

Following the evolution of AI models and agents: capability and maturity comparisons across GPT, Claude, DeepSeek, and Gemini, real-world Agent workflows, and how generative AI is reshaping industries with concrete examples.

Practical use of AI coding tools: setup, tips, and comparisons for editors and CLIs like Claude Code, Cursor, and Augment — plus MCP protocols, agent orchestration, and how to use AI to boost development productivity.

Productivity tools and methods that help indie developers and founders do more with less: automation workflows, tool selection, time and energy management, and designing systems that hand repetitive work to machines.

Practical paths for taking a one-person company global: driving traffic and operations on overseas channels like Reddit, YouTube, and Product Hunt, Stripe/Paddle payments and compliance, and product and content strategy for a global audience.

An investor’s view for founders: industry research on HK, US, and A-share markets, sector analysis of AI and semiconductors, quantitative and trading approaches, and asset allocation thinking on the path to financial independence (FIRE).

Practical experience in enterprise AI deployment: FDE (Forward Deployed Engineer) model, B2B AI product design, production system restructuring, enterprise digital transformation, and the complete path from POC to scaled deployment.

Product thinking and design practice: B2B and B2C product methodologies, UI design and designer tools, conversion and marketing, and the craft of building product forms like indie games.