Meta is creating a new marketplace by allowing developers to build 'connectors' for its Muse agent. This mirrors the 2008 Apple App Store launch, which unlocked billions in value by providing a distribution platform for third-party services built on top of the iPhone.
Unlike traditional apps, AI connectors can become relevant halfway through a user's larger request. A user planning an event might only realize they need equipment rentals mid-conversation. This creates opportunities for services to be discovered organically based on conversational context, not just initial user intent.
The value for AI-powered lead generation is not just finding contacts, but identifying timely business triggers. A connector that tells a linen service which new restaurants are opening provides a concrete reason to initiate a sale, creating a highly valuable, subscription-worthy service.
Relying on being featured in Meta's Muse directory is not a viable growth strategy. Founders should instead focus on controllable distribution channels like partnering with creators who have a relevant audience or designing the service with built-in sharing mechanisms (e.g., a court booking shared with other players).
Unlike the capital-intensive mobile app boom, building a Muse Connector can be done by individuals using AI coding agents like CloudCode or Codex. This dramatically lowers the barrier to entry, allowing founders to quickly prototype and launch a service without needing a large team or significant funding.
AI agents are perfectly suited for hyperlocal, on-demand services like finding a home repair person or booking a local paddle court. These use cases solve an immediate, location-specific problem for a user who needs a service provider with confirmed, near-term availability—a key strength of conversational AI.