22/09/2025
On the afternoon of September 9, Zhu Hanwei, an Australian returnee entrepreneur, shared his hands-on experience of leading an 8-person core team (assembling R&D talent from Fudan and Jiaotong Universities) to secure 20 million yuan in local orders within a year through fully self-developed industrial robots.
Zhu's presentation was straightforward yet incisive. He emphasized that the team's success in establishing roots in Jinshan stemmed not from chasing broad market trends, but from choosing an extremely vertical field—industrial robots. By leveraging the “clean, stable, and predictable” data inherent in industrial settings, they achieved mastery in a single domain.
“Industrial data is clean, stable, and predictable,” Zhu stated, revealing the core insight behind choosing the industrial track. Their secret to success lies in focus: “We train our robots to do only one thing, so their judgment becomes increasingly accurate.”
Regarding entrepreneurial direction, he offered a strategic perspective: “The ventures we pursue align with national strategic priorities—they are the tools for waging technological warfare.” Most crucially, he emphasized finding one's niche: “We must understand our strengths and where we can fill gaps for others.”
At the event, digital nomads in the AI industry shared applications and challenges across their fields: from the emotional expression limitations of AI writing to agent and large model fine-tuning; from education industry applications to stock trading dilemmas; and the high-cost challenges of AI quantitative products.
Every collision of ideas could spark the birth of a new product.🧠
