Product strategies are undergoing a fundamental transformation in the AI era. Recently, OpenClaw has suddenly gained significant traction, attracting an influx of investors and entrepreneurs. In the early hours of the 7th, MEITUAN-W veteran Wang Huiwen, following his venture into large model entrepreneurship, issued another call for talent, stating, "Any team looking to start a business in areas related to OpenClaw and needing financing is welcome to contact me." OpenClaw was originally launched as Clawdbot in November 2025. It was later renamed Moltbot due to a trademark lawsuit from Anthropic, and officially settled on the name OpenClaw in early 2026. Its popularity has grown exponentially, with GitHub stars skyrocketing from over 100,000 to 171,000, making it the fastest-growing open-source AI agent project in terms of stars. Wang Huiwen's renewed recruitment drive for AI-related ventures indicates he is open to connecting with those who want to work on OpenClaw, form teams to enter this field, or join startups related to OpenClaw. This move signals OpenClaw's evolution from an individual developer's open-source project towards a path of commercial entrepreneurship. Yang Yuancheng, an investment partner at ZhenFund, commented that the explosive level of interest in OpenClaw indicates a specific entrepreneurial direction is being unlocked. A recurring pattern in the AI field is that when new technology emerges, open-source projects first demonstrate that "this can be done." Once validated, entrepreneurs follow this direction to find opportunities for productization and scaling. OpenClaw has validated three key directions. First, AI can transition from "chatting" to "doing." OpenClaw does more than just answer questions; users can issue a command on platforms like WhatsApp, Telegram, or Feishu, and the AI will execute it directly, including managing emails, organizing files, writing code, and controlling local software. Second, AI functionalities can be "installed" rather than hardcoded. As an open-source project, anyone can develop Skills plugins for OpenClaw, essentially installing applications for the AI. This mechanism has led to a rapid expansion of its capability ecosystem, accumulating hundreds of thousands of developers and contributors within weeks. Third, AI can operate continuously, rather than just in a question-and-answer format. OpenClaw's architecture incorporates persistent memory and state management, allowing the AI to remember previous instructions and perform tasks across sessions. This transforms AI from a chat tool into a continuously available digital employee. Based on this, Yang Yuancheng believes visible entrepreneurial directions include OpenClaw integrated with smart glasses, autonomous credit systems for AI Agents, and physical world execution layers for AI. An example is the recently trending RentAHuman.ai, which allows AI Agents to directly "hire" humans to complete tasks in the real world that the AI cannot do itself. Industry professionals responded actively in the comments section of Wang Huiwen's post. AI investor Li Huizi stated that OpenClaw's success demonstrates that in the AI era, victory belongs to those who can most quickly understand what users truly want and translate AI capabilities into executable workflows. Product thinking is fundamentally changing; the new era's logic is about seamlessly integrating APIs into user workflows, which requires strong engineering capabilities, product intuition, and a sharp awareness of user pain points. However, there are also dissenting voices regarding OpenClaw's popularity, citing concerns about security risks, technical design flaws, and socio-ethical hazards. Zheng Qian, Engineering Lead at Convergence AI, told reporters that from a product perspective, OpenClaw currently resembles more of a "toy," questioning whether users would dare to rely on it for critical work. While OpenClaw grants Agents significant autonomy, it also indicates a current lack of robust control mechanisms, including deficiencies in human-computer interaction, feedback, and visualization. Nevertheless, it is driving improvements in more detailed aspects of the Agent industry and the development of foundational infrastructure.