20岁大学生花10天VibeCoding一个开源项目，获盛大3000万投资

Core Viewpoint - MiroFish is an AI prediction engine that constructs a high-fidelity parallel digital world by extracting real-world seed information, allowing for dynamic variable injection and precise future projections [3][9]. Group 1: Project Overview - MiroFish has rapidly gained popularity, reaching over 5.7k stars on GitHub since late January [1]. - The project is a continuation of the previous work, BettaFish, which focused on public opinion analysis [9]. - MiroFish aims to create a closed-loop system from raw data to intelligent decision-making through multi-agent simulations [9]. Group 2: Functionality and Use Cases - MiroFish can simulate and predict major social events, analyze corporate strategies, and even explore complex literary character relationships [6]. - The system can generate detailed character relationship graphs and simulate interactions among agents based on the input data [14][20]. - An example case demonstrated the prediction of the lost ending of "Dream of the Red Chamber" using the first 80 chapters as input [11][30]. Group 3: Investment and Support - The project has received significant backing, including a 30 million RMB investment from the founder of Shengda Group, Chen Tianqiao, after only 10 days of development [8][54]. - The author, BaiFu, has garnered attention from major companies and investors following the success of BettaFish [36][51]. Group 4: Development Insights - BaiFu emphasizes the importance of market research and technical selection before coding, advocating for a structured approach to project development [47]. - The development process involves using AI to assist in various tasks, enhancing efficiency through parallel agent collaboration [41][46]. - The author notes the necessity of deep human-AI collaboration and code review to ensure project quality and coherence [46].