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AI processes 50 emails for one customer and 5,000 for another. Document tools handle 100 pages for startups and 100,000 for enterprises. Same feature, wildly different value. Legacy billing
Companies that try to build modern products on outdated billing infrastructure get stuck in endless iteration cycles. Emerging winners like OpenAI can respond to market changes in hours instead of quarters because their pricing systems are flexible enough to keep up with product velocity.
An attempt to save $20 on AI coding tools spiraled into days of frustrating debugging, revealing how cognitive biases can sabotage AI productivity. Clear mental models, timely investments, and bias awareness matter more than the tools themselves.
AI's biggest impact is in democratizing creation, embedding itself into all workflows, thriving on rapid tech adoption, leveraging social media as a growth engine, and competing fiercely for top global talent.
Win at product management by focusing on value, not busywork: lead with context, keep backlogs lean, overestimate forecasts, remove approval bottlenecks, and cut meetings to protect focus.
High performers risk burnout when they avoid taking time off, even with “unlimited vacation” policies. Sustained impact requires planned breaks, clear delegation, and leading by example to normalize recovery.
Strategy stalls when companies lack shared facts, clarity on the game they're playing, or the will to commit to focused action. Real progress starts with closing insight gaps, aligning on the true game, and converging on decisive next steps despite uncertainty.
Rows.com grew activation by launching loginless onboarding to capture high-intent users, designing onboarding around real jobs instead of UI tips, and using a generous freemium model to showcase AI's value early.
Record AI investment is fueling growth, but market valuations show investors expect competition to keep profits in check. This challenges fears of AI creating extreme inequality concentrated among a few dominant owners.
Modelbusters are companies that defy forecasts by either revealing far larger TAMs than expected or launching new products that unlock major adjacencies. They succeed by building “what” products over “how” products, pulling in customers through love and retention, leveraging network effects, and compounding growth far beyond financial models.
Coders are very socially and technically adjacent to the people who develop AI models and adopt technologies quickly.
Chasing entertaining learning over essential, outcome-focused growth prevents ambitious product people from achieving extraordinary results.