Midjourney bought the astrology app Co-Star

Midjourney Acquires Co-Star: What an Astrology App Means for AI App Development

On July 24, 2026, Midjourney announced it has acquired Co-Star, the popular personalized astrology app. The deal, which closed in spring according to the company, brings Co-Star founder Banu Guler into Midjourney as chief design officer while she continues to run the astrology app. For developers and builders watching the AI landscape, this acquisition signals a significant strategic shift: Midjourney is no longer content to be just a model provider or a Discord-based image generator. It is now actively building a consumer app division, and it has hired a design leader with deep experience in personalized, AI-powered experiences to lead the effort.

The move comes as Midjourney has already broadened its product scope from generating cat images to offering full-body ultrasound scans — a pivot that drew both attention and criticism. The Co-Star acquisition is another step toward transforming the company from a single-purpose AI tool into a multi-app platform. Holz stated that Guler and her team will help build Midjourney’s first applications, including one dedicated to image generation. That is a direct acknowledgment that the current web and Discord interfaces are not the endgame. Midjourney wants a native, first-class app experience.

Why Co-Star? A Closer Look at the Acquisition

Co-Star is a free astrology app that provides daily horoscopes and compatibility checks with friends. Its approach is hybrid: it combines human insight, data from NASA, and AI to deliver personalized advice. That model — blending curated data, human curation, and generative AI — is directly relevant to how Midjourney likely envisions its future apps. Rather than a simple text-to-image prompt box, a dedicated app could incorporate personalization, user context, and design principles reminiscent of Co-Star’s interface.

For builders, this hybrid approach is instructive. Pure generative models often lack structure and personalization. By incorporating structured data (like NASA ephemeris) and human editorial oversight, Co-Star avoids the “anything goes” feel of raw AI output. Developers looking to build AI consumer apps can learn from this: pairing an LLM or image model with a curated data layer and strong UX design yields more sticky, daily-use products.

Furthermore, the appointment of Banu Guler as chief design officer is a clear signal that Midjourney values design-driven product development. Many AI companies have historically been engineering-first, but Guler’s background in building a polished, visually cohesive app for horoscopes suggests Midjourney is prioritizing user experience as a differentiator.

What This Changes for Developers

If you’re building with AI tools, this acquisition affects your thinking in several practical ways. First, Midjourney is now a direct competitor in the consumer app space. They are no longer just a model to integrate via API or Discord bot; they are building their own distribution. This could mean tighter control over their ecosystem, potentially affecting pricing or access for third-party developers who currently rely on Midjourney’s models.

Second, the emphasis on first-party apps hints that Midjourney might eventually offer a dedicated API or SDK for image generation that is more robust than the current Discord-based access. As they build their own mobile and desktop apps, the underlying infrastructure will likely be productized in a way that benefits external developers — or, conversely, become less open. Keep an eye on how Midjourney’s pricing and access evolve, especially in relation to the broader landscape of AI model providers. For the latest comparative data, see our LLM API pricing reference.

Third, the Co-Star integration may introduce new data modalities. Co-Star uses NASA data, which is a form of structured, time-series information. If Midjourney begins blending such data with image generation — for example, generating personalized artwork based on astrological charts or user-specific timing — that would open a new category of truly personalized generative media. Developers building personalization engines should study how Co-Star’s recommendation logic works and consider whether similar hybrid approaches could differentiate their own apps.

How to Think About the Acquisition: Implications for the AI Tooling Landscape

Midjourney’s pivot toward apps underscores a broader trend: the winners in generative AI will be those who own the user experience, not just the model. Co-Star is not a technology acquisition in the traditional sense — it’s a talent and product acquisition. Banu Guler brings a design philosophy and a proven UX for daily engagement. That is what Midjourney wants to clone for their own image generation app.

For builders, this means that if you are creating an AI tool that relies solely on a third-party model without a differentiated interface or personalization layer, you are at risk of being rendered obsolete by a first-party app from the model provider. The lesson: invest in your own user experience and data moats. Co-Star’s combination of NASA data and human curation is a data moat that cannot be easily replicated by a generic AI wrapper. Midjourney’s acquisition demonstrates that such moats are valuable enough to be acquired.

It is also worth noting that Co-Star will continue to operate independently under Guler’s leadership. This suggests Midjourney is not absorbing the app for its revenue stream — Co-Star is free — but rather maintaining it as a proof-of-concept and talent hub. Developers should watch whether Co-Star starts to integrate Midjourney’s image generation capabilities, potentially turning horoscopes into visual art. That would be a direct example of cross-pollination between the two products.

What to Do Next as a Developer or Builder

• Monitor Midjourney’s app launches closely. If their dedicated image generation app arrives, it could set a new UX standard for AI imagery. Look at how they handle personalization, onboarding, and output control. That will influence user expectations for all similar tools. For a broader view of the competitive landscape, check our best AI image generator comparisons.
• Consider hybrid data strategies. Co-Star proves that even a niche domain like astrology can be transformed into a daily-use AI product with the right data blend. If you are building an AI app for a vertical, ask yourself: what structured, authoritative data source can I combine with generative models to create defensible personalization?
• Evaluate your own design leadership. If your AI product lacks a dedicated design officer or a strong UX focus, you may be leaving money on the table. Midjourney’s acquisition suggests that design talent is increasingly the differentiator in AI consumer products.

The Bigger Picture: From Discord Bot to Platform

Midjourney’s trajectory — from a hobbyist Discord server to a company acquiring a design-driven personalization app — mirrors the maturation of the AI industry. The days of “just an API wrapper” are numbered. As models commoditize, distribution and user experience become the primary battleground. By hiring Co-Star’s team and committing to build its own apps, Midjourney is repositioning itself as a platform that controls the full stack from model to user interface.

For developers, this means the window to build independent AI experiences may be narrowing if model providers increasingly compete directly. However, it also creates opportunities for those who can leverage Midjourney’s future APIs or who can build vertical apps that Co-Star-like integration with curated data. The key is to not rely solely on model access but to create unique value through data, design, and personalization.

Ultimately, the Co-Star acquisition is about more than astrology. It is a signal that Midjourney is serious about becoming a consumer app company, and that the next phase of generative AI will be defined by how well products combine models with structured, human-curated data. Builders who understand this lesson now will be better positioned to thrive in the coming wave of personalized AI applications.

Source: The Verge. Details as reported; verify specifics at the source.