Vikas Kansal. Product leader and SaaS strategist who analyzes how AI economics break traditional growth playbooks. Contributed to Lenny's Newsletter with a sharp rule about freemium under GPU cost structures: features that collapse multi-step work into a single click consume proportionally more compute per free interaction and must be paywalled. His framework applies GPU cost structures to feature gating decisions with a concreteness that most AI pricing discussions lack.
Operating themes
- AI economics of product design Applies GPU cost curves to feature gating and freemium decisions; the traditional compute-cheap freemium model does not hold when the valuable features are GPU-intensive.
- Paywall where value concentrates The more steps a feature collapses, the closer it belongs to a paywall; step-collapse ratio is the practical metric.