ViqusViqus
Navigate
Company
Blog
About Us
Contact
System Status
Enter Viqus Hub

Midjourney Acquires Astrology App Co-Star in Diversification Play

Midjourney Co-Star acquisition astrology AI LLM
July 24, 2026
Source: TechCrunch AI
Viqus Verdict Logo Viqus Verdict Logo 4
Diversification Beyond Pixels
Media Hype 5/10
Real Impact 4/10

Article Summary

Midjourney, the prominent AI lab known for its powerful image and video generation capabilities, has reportedly acquired the social astrology app Co-Star. Co-Star boasts an active user base of around 4.3 million monthly users and focuses on providing personalized horoscopes, compatibility assessments, and life advice based on astrological charts. The acquisition signals a strategic pivot for Midjourney, which has previously shown an interest in diverse areas ranging from medical applications to spa services. Joining the deal is Co-Star's development team, suggesting that Midjourney may aim to transition from a Discord-centric experience to a more robust, standalone consumer application.

Key Points

  • Midjourney, primarily an image and video generation powerhouse, has expanded its scope by acquiring Co-Star, a popular astrology application.
  • Co-Star provides personalized, user-generated horoscopes and life advice, tapping into a massive, established consumer interest in astrology.
  • The acquisition and the transfer of Co-Star’s team suggest Midjourney's ambition to build out a standalone, multi-functional consumer app, moving beyond its current Discord-based model.

Why It Matters

This is not a groundbreaking technical move, but rather a clear business strategy signaling that established AI labs are increasingly looking for viable, high-engagement consumer user bases. For industry professionals, the significance lies in the broadening definition of 'AI product.' It suggests that the future of AI success may involve integrating specialized, high-utility, non-core AI functions (like text-based personalization or predictive advice) into consumer apps, rather than solely focusing on raw model performance. This move underscores the pressure for AI companies to achieve measurable, broad consumer utility.

You might also be interested in