WaveSpeedAI的API
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一个人干掉一个团队,他用“AI工作流”撑起千万美元营收
Sou Hu Cai Jing· 2025-10-28 04:28
Core Insights - The article emphasizes the evolving nature of entrepreneurship in the AI era, highlighting the importance of a unique mindset among entrepreneurs, particularly the founder of WaveSpeedAI, Cheng Zeyi, who embodies a self-driven and systematic approach to building a future-focused business [1][3]. Work Ethic and Challenges - Cheng Zeyi works an intense schedule, often from 9 AM to midnight, 6 to 7 days a week, reflecting the demanding nature of the current AI infrastructure [3][10]. - The emergence of AI has raised the standards for programmers, shifting the focus from merely writing code to creating high-quality, reusable code that can be utilized by AI systems [4]. Company Operations and Strategy - WaveSpeedAI operates with a lean team of around ten employees, achieving an annual recurring revenue (ARR) of $10 million, resulting in a high productivity rate of approximately $1 million per employee [12][13]. - The company employs a monorepo architecture for code management and utilizes low-code platforms to standardize workflows, allowing non-core personnel to contribute effectively [14]. Market Positioning and Customer Engagement - WaveSpeedAI differentiates itself by focusing on user proximity rather than merely competing on model strength, providing finely-tuned APIs and robust customer support [5][15]. - The company has a low customer churn rate, attributed to proactive customer research and support, enhancing user experience and satisfaction [16]. Product and Competitive Edge - The core strategy of WaveSpeedAI is to offer differentiated products, ensuring flexibility and stability in their APIs, and providing unique functionalities not available on other platforms [17][18]. - The company targets developers looking to integrate AI capabilities into applications, contrasting with platforms aimed at end-users or creators [19]. Future Aspirations - WaveSpeedAI aims to establish a leading position in the minds of global developers, aspiring to be the go-to recommendation for AI development tools [23].