Title: The Rise of ChatGPT Apps: A Fresh Startup Frontier with Massive Potential
The startup landscape has long been shaped by familiar categories: mobile apps, web apps, and SaaS dashboards. While these ideas have proven solid, markets are increasingly saturated, making it harder for even strong teams to stand out.
A mostly overlooked opportunity lies in the new ecosystem forming inside ChatGPT. User behavior is shifting as people turn to their language models to handle tasks directly, reducing reliance on traditional website traffic. Now, with the advent of ChatGPT Apps—full applications that run inside the chat interface with real UI and logic—the way people interact with software is changing fundamentally. If you’re not familiar with these apps, OpenAI’s announcements provide a clear overview of how they work within the ChatGPT environment.
Looking ahead, OpenAI plans to launch a comprehensive App Store for ChatGPT Apps by the end of the year. A crucial insight is that ChatGPT can recommend and utilize apps automatically, even if a user hasn’t explicitly installed anything. Distribution occurs entirely within the model, opening a new pathway for reach and adoption.
With roughly 800 million weekly ChatGPT users, the scale is compelling. By comparison, the Apple App Store approached one billion users in 2025, but the ChatGPT App Store remains largely empty—no incumbents, no entrenched competition yet. This combination of early entry and vast potential creates a rare opportunity for bold experimentation.
Many product categories can be rebuilt natively for large language models. These include shopping tools, price comparison services, booking engines, finance dashboards, workflow systems, and enterprise solutions. Importantly, existing solutions cannot be dropped into an LLM unchanged, so the field is being reset. Those who grasp this early can launch an LLM-native version of proven models and gain relevance before established players respond.
Success in this space doesn’t require outperforming incumbents from day one; it requires enough visibility to become a credible threat. Once a threat is established, larger companies typically move quickly to catch up or acquire the challenger to protect their market position.
While there is a learning curve to mastering ChatGPT Apps and the underlying MCP (model control and processing) concepts, the potential payoff is significant: access to a new market ahead of the crowd.
If you’re curious to explore, start with online resources and tutorials that explain how to build ChatGPT Apps. A range of introductory materials and early tools already exist to help you get up to speed.
