Jingxin “Lele” Xu Learned to Test Demand Before Committing to the Build

Experiences across quantum physics, art, mission-driven projects, and an unsuccessful retail startup changed how Xu evaluates whether a technical problem is worth turning into a product.
Jingxin Lele Xu
Written By:
Arundhati Kumar
Published on: 
Updated on: 

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Jingxin “Lele” Xu evaluates product ideas differently after watching several technically interesting and mission-driven projects produce very different levels of real demand. Technical difficulty and personal conviction are no longer enough. Xu looks for evidence that people are already trying to solve a problem, that existing options are falling short, and that customer behavior supports the need before she commits deeply to a solution.

Her first experience building something people would pay for came in middle school in Sydney. She bought toys in bulk from China, repackaged them, and resold them to classmates at what she recalls was roughly a 15-times markup. The experiment gave her an early look at how demand, presentation, and context can change whether people see value in a product.

“I remember being fascinated that the same object could have such a different value depending on where it was, how it was packaged, and who wanted it,” Xu says. “I did not have the language for go-to-market or distribution channels yet. I just knew there was something interesting happening.”

That curiosity did not send Xu directly into business. At Yale, she studied physics and software-related subjects while developing an interest in both fundamental systems and practical products. Her technical experience eventually included software engineering at HelloFresh, a technical program role with Google Cloud, and web engineering at Yale School of Medicine. She also conducted research at the Yale Quantum Institute.

There, Xu worked on components designed to preserve quantum information in superconducting circuits, where quantum states can collapse through unwanted interaction with their environment. Her work focused on designing filters between an external power source and the circuits, maximizing input at operating frequencies while minimizing it at resonant frequencies where information could leak. She iterated on the design using HFSS simulations before components were cooled and inserted into the system. The work became part of her thesis, and although she was not an author on later papers that used the design, elements of it continued into subsequent research.

Xu’s interests extended beyond engineering. She was named Young Australian Artist of the Year in 2018 and still considers art an influence on the way she approaches technology. She describes artists as searching for intuitive truths while still needing to make something that connects with an audience. In product work, that has translated into choices such as avoiding the anthropomorphizing of AI, designing around emotional journeys, and resisting technical jargon simply because it is common in the industry.

At Yale, Xu also spent substantial time volunteering and organizing around causes she cared about. In work involving Dr. Laurie Santos, she designed a mobile companion to Santos’s happiness course, including user experience mockups, research, and iOS development. She also worked on a volunteer marketplace and other mission driven products.

Those projects taught Xu that effort and importance do not automatically create adoption. The volunteer marketplace reached a handful of pilots with mutual aid groups and community gardens, while the happiness application did not develop a user base. Xu says the experience began changing how she distinguished between encouragement for an idea and behavior showing that people actually wanted a product.

That lesson became harder to ignore after graduation, when friends persuaded Xu to join Sillable, a local retail marketplace positioned as an alternative to Amazon. Xu owned the company’s go-to-market strategy, including partner distribution and field marketing, as well as database design and the vendor user experience. The company persuaded roughly 80 percent of New Haven shops to create storefronts, uploaded thousands of SKUs, partnered with the Chamber of Commerce and Shops at Yale, and drew hundreds of people to in-person market events.

Consumer behavior told a different story. Xu says the platform attracted only a few dozen shoppers and generated less than $1,000 in gross merchandise value. At the same time, merchants responded strongly when the team organized a citywide scavenger hunt or took over their Instagram and TikTok accounts, with those efforts producing more traffic than the marketplace itself. The contrast suggested that merchants wanted help reaching customers, while consumers were not demonstrating comparable demand for another local shopping platform.

“The failure was useful because it changed what I looked for,” Xu says. “I stopped asking only whether I wanted a problem to be solved and started asking whether the market was already moving in a direction where a new product could actually take hold.”

The experience also changed how Xu interprets customer feedback. Encouraging words from merchants and community members had felt like validation, but she came to place greater weight on behavior, particularly whether people were willing to spend money or repeatedly use what had been built. After months of struggling to create consumer demand despite strong merchant participation, she concluded that customer actions provided a harder test than enthusiasm alone.

Xu’s next move was toward AI applications. She believed the sector offered room to build into changing customer behavior instead of trying to reverse an established one. She later joined Clay, where her responsibilities centered on growth and community and gave her additional exposure to products developing within a rapidly changing market.

Physics, art, mission driven work, Sillable, and Clay gave Xu different ways to evaluate the same question: when is an idea worth pursuing? Physics trained her to think about systems and constraints. Art encouraged iteration and attention to response. Sillable made customer behavior harder to dismiss when it contradicted enthusiasm for the idea.

Xu is now applying those lessons while evaluating what she wants to pursue next. She looks for evidence of existing behavior before deciding that a difficult technical problem deserves deeper investment.

“I still want to work on hard problems,” Xu says. “I just care much more now about whether solving the problem changes something concrete for the people on the other side of the product.”