Frame your product's value not around the underlying AI, but around the premium insight it unlocks. The key is to instantly provide an answer—like a valuation or diagnosis—that previously required significant time, money, or human expertise.
An app bundling various LLMs into one interface is making $300k/month. Replicate this success by targeting a specific professional niche like lawyers or teachers. Stitch together models and workflows to become the default AI assistant for that vertical.
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.
There is a repeatable business model in the success of vinyl record valuation apps. Target a niche collectible market (e.g., comic books, vintage toys), and build a simple app that lets users scan an item to learn its identity, condition, and market value.
Focus on a single job where the user provides a high-signal input (a photo, item, or text prompt). This simplifies the user experience and allows AI to deliver instant, high-value output, leading to better conversion and user engagement.
The path to $50k MRR for a mobile app isn't a feature-rich platform. It's an obsessive focus on doing one job perfectly for a specific group with a recurring need. Examples include 'value this vinyl,' 'create this logo,' or 'summarize this text.'