Summary of Key Points
This conversation highlights the practical experience shared by two founders from top US startup incubators, YC (Young Corporate). One focuses on developing financial software (Finney) to help financial advisors acquire clients, while the other works on quantum camera hardware (Diffraqton). Although their industries are vastly different, their insights on critical issues such as "judging whether an idea is worth pursuing," "preventing products from being obsolete by technology," and "coping with failure" are remarkably consistent: identifying real pain points that customers urgently need to solve, flexibly adjusting directions, and emphasizing the importance of a team and interdisciplinary collaboration. They also clearly define the role of AI in entrepreneurship as a supportive partner, not a replacement for human initiative.
Detailed Analysis
1. **Is an idea worth pursuing? Look at whether customers are willing to pay extra for it**
The best criterion for evaluating an idea is not whether it sounds cool to you, but whether customers are genuinely willing to pay more for it.
- Urgent pain points: YC uses the term "hair on fire" to describe situations where a customer's problem is as urgent as a burning head of hair—any solution, even if rudimentary, is better than none at all. Victoria gave an example: When Finney was just starting out, a potential client asked if they could get the product in April instead of May and offered to pay double. This was a direct signal of interest.
- Don’t be deceived by polite responses: People (even mothers) might lie to avoid hurting your feelings. Ask “How painful is this problem for you right now? How do you cope without a solution?” For instance, Finney’s clients were constantly switching between Excel, email, and LinkedIn, indicating a clear need for an integrated tool.
- Change direction if it’s wrong: Johannes’ quantum camera project initially tried using it in drug development microscopy (strict regulations) and semiconductor testing (too fast process), but it wasn’t until they identified the aerospace industry as a potential market that the product found its niche. “You have to go down the wrong path to find the right one.”
2. **Common mistakes in the early stages of entrepreneurship: Don’t stick to a wrong direction or over-rely on cutting-edge technology**
Failure is inevitable, but timely adjustment is crucial.
- Stop losses when you’re on the wrong track: Victoria wanted to create a QA testing tool similar to Uber’s, but customers were unenthusiastic (vague comments like “It’s somewhat valuable” were a bad sign). She then switched to a solution for financial advisors and succeeded.
- Don’t be too ahead of technology: Victoria initially aimed for fully autonomous AI agents, but the models were unreliable. She had to revert to a simpler interface with dropdown menus until the technology matured two years later. “Overoptimism can lead to setbacks.”
- Niche markets are the key: Johannes’ quantum camera targets a specific need (high-speed imaging in aerospace), ensuring that even as technology evolves, their product remains unique.
3. **How to prevent your product from becoming obsolete? Focus on your team and core pain points**
With rapid technological changes, two key factors are essential for long-term success:
- Sell the team, not just the product: Victoria emphasizes that Finney sells the promise of “always being at the forefront of AI.” Customers buy into the team’s ability to continuously improve the product.
- Stay focused on core pain points: Finney’s core issue has always been helping advisors grow their businesses; the solution may have evolved (from databases to AI agents), but the problem remains the same. Similarly, Diffraqton’s focus on high-speed imaging remains unchanged despite changing use cases.
- Interdisciplinary collaboration is crucial: Johannes’ product combines AI, quantum physics, optics, and aerospace knowledge—no single expert could have conceived it alone; a team of diverse experts was needed.
4. **The first 90 days from scratch: Don’t rely on government funding; meet more people and hire quickly**
Reflecting on their early experiences, the founders offer practical advice for newcomers:
- Government funding has its drawbacks: Johannes relied on NASA/DARPA grants, but the process was slow, bureaucratic, and restrictive. If they could do it over again, they would seek private funding first and apply for government support later.
- In-person connections are important: Victoria suggests attending more meetings and having face-to-face conversations with potential clients, especially in industries like wealth management where relationships matter.
- Act quickly when demand emerges: When Finney had 200 companies waiting for their product but only one programmer, they missed out on opportunities. “Don’t be frugal when you need to hire more staff; lack of capacity can cost you business.”
5. **What can AI do in entrepreneurship? It’s a partner, not a replacement**
Both founders use AI, but they understand its role:
- AI as a valuable assistant: Victoria uses it for market research (e.g., analyzing wealth transfer trends), while Johannes sees it as both a critic and a source of inspiration.
- AI can’t generate original ideas: It processes existing data; it helps organize information, not create new ones. Tools like MIT’s “Disciplined Entrepreneurship” chatbot guide entrepreneurs through 25 steps.
- The core is still customer interaction: No matter how advanced AI is, you must still engage with customers to understand their real needs. Original ideas and solutions always come from direct communication.
These lessons are drawn from practical experience and are more valuable than any theory. The essence is simple: First, identify your customers’ pain points, then find the most straightforward way to solve them—don’t overlook practicality for the sake of being cool.