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To pursue its ambitious goal of building a new AI-native film studio, True Short adopted a focused go-to-market strategy. They launched with a narrow "True Crime" app, allowing them to prove execution, generate revenue, and build momentum before expanding into a broader platform.

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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.

Indiegogo intentionally launched by focusing only on the film industry, using it as a beachhead market to prove their model, similar to how Amazon started with books. This niche focus was a strategic choice before expanding to all categories, which ultimately unlocked massive growth.

Before launching its main platform 'Tempo,' The Wellness Company first built niche apps for cold plunges, sun exposure, and posture. This strategy allowed them to test product-market fit within passionate, discrete communities before committing resources to a larger, unified health application.

The traditional VC advice of conquering one market before moving to the next is obsolete in the fast-paced AI era. To outrun competitors, startups must treat GTM like venture capital: test multiple markets and strategies in parallel to quickly identify the few bets that will drive exponential growth.

Startups like NextVisit AI, a note-taker for psychiatry, win by focusing on a narrow vertical and achieving near-perfect accuracy. Unlike general-purpose AI where errors are tolerated, high-stakes fields demand flawless execution. This laser focus on one small, profound idea allows them to build an indispensable product before expanding.

Instead of a broad launch, Everflow targeted only mobile affiliate networks—a small market they knew deeply from their previous company. This allowed them to build very specific, high-value features for that ICP, win deals, and establish a strong beachhead before expanding into larger, adjacent markets.

The classic 'pick two' project management triangle (fast, cheap, good) is altered by AI. You can achieve all three, but only by focusing on an extremely narrow use case or a 'thin slice' of data. Prove product-market fit on this small scale first, then expand once you get strong customer validation.

A powerful startup strategy is to screenshot a successful app and use AI to rapidly generate a clone tailored to a new market. This "business arbitrage" allows founders to quickly test proven models in new geographies or vertical niches with minimal upfront development.

Don't start with a broad market. Instead, find a niche group with a strong identity (e.g., collectors, churchgoers) that has a recurring, high-stakes problem needing an urgent solution. AI is particularly effective at solving these 'nerve' problems.

Kernel's product strategy is to go deeper into company data challenges (e.g., complex APAC or government hierarchies) before going broader. This 'earn the right' approach builds customer trust by solving the core problem exceptionally well, creating pull for future product expansions rather than pushing a bloated, mediocre feature set.

AI film studio True Short launched a niche True Crime app as a wedge for its 'next Netflix' vision. | RiffOn