The reality of selling a company is not a simple transaction. It's a grueling, months-long process that functions as a demanding second job for the founder, who must keep it secret from their team while simultaneously running the core business at full capacity.
Instead of building an MVP, pitch a one-liner about your solution to a target audience and gauge their reaction. Passionate, unsolicited stories about their pain points signal strong problem-solution fit. This method provides objective validation with minimal resources.
Building a true AI product starts by defining its core capabilities in an AI playground to understand what's possible. This exploration informs the AI architecture and user interface, a reverse process from traditional software where UI design often comes first.
Amplitude's CEO acquired multiple founder-led companies as a deliberate strategy to counteract the inherent slowness of a large SaaS business. This injects a startup's pace and an AI-native mindset directly into the organization to accelerate its AI transformation.
To maintain the agility of acquired startups, Amplitude's CEO implemented a top-down ban on "decisions by committee." This empowers individual PMs to make decisions quickly without getting bogged down in universal alignment, protecting the fast-moving culture that made the startups valuable.
Amplitude's acquisition of Kraftful was re-initiated after their CPO personally used the product for hours, triggering an internal "power user" flag. This shows how deep, organic product engagement from a strategic buyer's leadership can be a direct M&A catalyst.
Kraftful built a complex system with six AI agents but never exposed this to users. Its success came from hiding the AI and focusing relentlessly on delivering simple insights that solved a specific user problem, proving users care about outcomes, not the underlying tech.
To scale founder-led growth, Kraftful's CEO batch-wrote and scheduled a week's worth of social content in one Sunday session. A team member handled responses, maintaining an authentic, consistent presence without consuming the founder's entire week.
The essential skill for AI PMs is deep intuition, which can only be built through hands-on experimentation. This means actively using every new LLM, image, and video model upon release to objectively understand its capabilities, limitations, and trajectory, rather than relying on second-hand analysis.