900亿，中国AI最快IPO诞生

Core Viewpoint - MiniMax has successfully launched on the Hong Kong Stock Exchange with an IPO price of 165 HKD per share, experiencing a surge of over 70% on its opening day, leading to a market capitalization exceeding 900 billion HKD. The public offering was oversubscribed by 1,837 times, attracting top-tier institutional investors globally [2][3]. Group 1: Company Background and Founding - MiniMax was founded in 2022 by Yan Junjie, a former executive at Shangtang, and has quickly become one of the fastest AI unicorns from establishment to IPO. Yan, born in 1989, is seen as a prominent figure in China's AI wave [2][3]. - The company aims to create intelligence collaboratively with everyone, as stated in its mission [8]. Group 2: Investment Journey - The investment journey of MiniMax has been marked by significant backing from prominent investors, with Mingshi Venture Capital participating in six funding rounds, making it the most involved institution in MiniMax's investment history [9]. - Mingshi's investment decision was influenced by the belief in the potential of AI, despite the market being at a low point for AI investments at the time [7][9]. Group 3: Strategic Insights and Innovations - MiniMax has adopted a unique approach by investing in a multi-modal development strategy, which carries inherent risks but reflects a commitment to innovation [8]. - The company has made significant strides in AI model development, particularly with the introduction of the MoE architecture, which has set a precedent for large-scale commercial deployment [11][12]. Group 4: Market Recognition and Future Outlook - The successful IPO of MiniMax is seen as a validation of the capabilities of Chinese AI companies on the global stage, with expectations for more undervalued Chinese tech firms to emerge [12][21]. - Mingshi Venture Capital believes that the next decade will see the rise of at least 150 Chinese tech companies among the world's top 500, with aspirations to partner with a third of these emerging leaders [21].