Korva rescues the ideas worth keeping from podcasts. Each one becomes a Card.
When execution breaks, do not hire automatically. First ask whether the bottleneck is staffing or a deeper technological shift.
With Claude Code, a five-engineer, one-designer, one-PM team can function like a much larger organization at 2–3× engineering capacity.
Anthropic grew from $1 billion to $19 billion in ARR in just 14 months.
Revisit failed AI use cases after every model release. Later capabilities can make yesterday’s dead end viable.
Anthropic expects the product value it delivers in two years could be roughly 1,000 times today’s value.
Ordinary products may gain 30–50% in two years. AI-first products may become 100–1,000 times more valuable, demanding larger bets.
AI’s capability overhang means models improve faster than users can understand and turn new abilities into practical value.
AI growth experimentation is moving from small optimizations toward larger experiments, with capabilities unavailable just months ago.
An exponential rise in model capabilities, combined with useful tools, continually unlocks markets whose value dwarfs earlier markets.
Make product-minded engineers mini-PMs. Engineers who generate ideas and lead product work become dramatically more valuable.
Rapid hiring creates strategic and cultural drift. Explicit internal writing keeps the organization tighter and more consistent.
Anthropic is building CASH, a growth platform designed to use Claude to automate growth experimentation.
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