Dara Khosrowshahi describes a two-step innovation process. First, let teams compete to rapidly "hack" a solution and find product-market fit. Second, once a winner emerges, the organization must systematize and automate that solution through engineering to make it scalable and part of the core platform.
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To innovate at scale, Harness treats each new product as a semi-independent entity. These "startups" have a founder-like PM, go through internal seed/Series A funding stages tied to revenue milestones (e.g., $1M ARR), and are responsible for their own initial founder-led sales.
To prevent its new mobile app from simply replicating its existing web platform, Irembo framed the mobile team's goal as competing with the web team. Their key metric was shifting user traffic from web to mobile for the same services. This created a competitive dynamic that forced innovation and differentiation.
The idea that startups find product-market fit and then simply scale is a myth. Great companies like Microsoft and Google continuously evolve and reinvent themselves. Lasting success requires ongoing adaptation, not resting on an initial achievement.
To avoid distracting from its core business, Bolt tests new ventures like scooters and food delivery using a standardized playbook. A small team of 5-10 people is given a modest budget and a six-month timeline to build an MVP and show traction. If successful, they get more funding; if not, the project is shut down.
Pivoting isn't just for failing startups; it's a requirement for massive success. Ambitious companies often face 're-founding moments' when their initial product, even if successful, proves insufficient for market-defining scale. This may require risky moves, like competing against your own customers.
Dara Khosrowshahi argues that entrepreneurs over-index on Total Addressable Market (TAM), which he sees mainly as a fundraising tool. The real focus should be on proving product-market fit and solid unit economics in a small, defensible niche. Once that's established, you can expand into adjacent markets.
Forcing innovations to "scale" via top-down mandates often fails by robbing local teams of ownership. A better approach is to let good ideas "spread." If a solution is truly valuable, other teams will naturally adopt it. This pull-based model ensures change sticks and evolves.
To launch new products and compete with agile startups, embed a small "incubation seller" team directly within the technology organization. This model ensures tight alignment between product, engineering, and the first revenue-generating efforts, mirroring the cross-functional approach of an early-stage company.
Many founders become too attached to what they've built. The ability to unemotionally kill products that aren't working—even core parts of the business—is a superpower. This prevents wasting resources and allows for the rapid pivots necessary to find true product-market fit.
While moats like network effects and brand develop over time, the only sustainable advantage an early-stage startup has is its iteration speed. The ability to quickly cycle through ideas, build MVPs, and gather feedback is the fundamental driver of success before achieving scale.
