Cues' initial product was a specialized AI design agent. However, they observed that users were more frequently uploading files to use it as a knowledge base. Recognizing this emergent behavior, they pivoted to a more horizontal product, which was key to their rapid growth and product-market fit.
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The ultimate vision for AI in product isn't just generating specs. It's creating a dynamic knowledge base where shipping a product feeds new data back into the system, continuously updating the company's strategic context and improving all future decisions.
Birdies was founded as an indoor-only slipper brand. When customers began wearing them outside, founder Bianca Gates had to abandon her original vision. The company's massive growth came only after she surrendered and pivoted the product to meet this unexpected user demand.
Warp's explosive growth wasn't just about adding AI; it was about reframing their identity. The turning point came when they stopped being a "terminal with AI features" and became an "agentic development environment." This strategic repositioning made AI the core value proposition, not an add-on, which unlocked rapid market adoption.
Founders can waste time trying to force an initial idea. The key is to remain open-minded and identify where the market is surprisingly easy to sell into. Mercor found hypergrowth by pivoting from general hiring to serving the intense, specific needs of AI labs.
A company with modest growth experimented with niche content for a small user segment, revealing a massive, underserved market. This led to a second, separate app that quickly surpassed the original product's revenue and drove hyper-growth, challenging the "focus on one thing" dogma.
Canva's success wasn't from targeting competitors but from identifying a real market gap through their first niche product (a yearbook tool). When users asked to use the tool for newsletters, it validated a larger, unsolved pain point that Canva then focused on exclusively.
Unlike traditional software where PMF is a stable milestone, in the rapidly evolving AI space, it's a "treadmill." Customer expectations and technological capabilities shift weekly, forcing even nine-figure revenue companies to constantly re-validate and recapture their market fit to survive.
To grow an established product, introduce new formats (e.g., Instagram Stories, Google AI Mode) as separate but integrated experiences. This allows you to tap into new user behaviors without disrupting the expectations and mental models users have for the core product, avoiding confusion and accelerating adoption.
Traditional software required deep vertical focus because building unique UIs for each use case was complex. AI agents solve this. Since the interface is primarily a prompt box, a company can serve a broad horizontal market from the beginning without the massive overhead of building distinct, vertical-specific product experiences.
Instead of building a single-purpose application (first-order thinking), successful AI product strategy involves creating platforms that enable users to build their own solutions (second-order thinking). This approach targets a much larger opportunity by empowering users to create custom workflows.
