Transcript
A (0:00)
Before we start chatting today, you were saying that has been a very eventful month for you. What are you currently working on and why has there been an increase in activity?
B (0:12)
Fundamentally, we're a pre seed venture firm focused on frontier tech. We run a concentrated strategy, so that means we're only making a handful of new investments each year, four to five per year. So it's a very methodical pace of deployment, I think potentially based on some macro events and volatility. Earlier in the year we saw fewer founders spinning out from the SpaceXs and Teslas of the world compared to normal in Q1 and Q2. And so that has led for a back half heavy investment pace for us this year. And October is shaping up to be one of the busier months that we've had on record.
A (0:46)
And do you see this essentially positive correlation between good economic times and some of the most innovative frontier tech startups?
B (0:54)
We actually don't. Great exceptional companies are born out of bear and bull markets. And if I look back on our portfolio, you know, we've only been investing for the past four and a half years, so it's kind of constrained from a data standpoint into truly looking across different bull and bear markets. But if you recall, after the peaks of 2021, in early 2022, it was a bit of a zombieland in venture landscape in terms of deal flow and kind of the, the rapid decrease in deployment. And that's actually when we made one of our best performing investments from fund one. And so I often think about it much more cyclically as great founders are always leaving to start companies. But sometimes the overall volume of people leaving when economic conditions are strong may actually be an inverse correlation with the potential courage it takes to leave and start a business at that time.
A (1:41)
Some of the most famous companies, obviously Microsoft, Apple, Airbnb, Uber, Slack, all these companies were started during recessions, famously. Double click on. You talk a lot about frontier tech versus what a lot of people define the space as deep tech. What's the difference between deep tech and frontier tech?
B (1:59)
It's a great question and I think it's more important than ever before to answer because venture for historically a long period of time was investing in similar business models, often B2B, SaaS, enterprise. And now that we're spending a lot of time investing in hardware, it's important to define and characterize the differences in the types of businesses that are being invested in. And so I think it's important to note that deep tech relies on a scientific breakthrough. Oftentimes it is Research or a lab based innovation based in the hard sciences of chemistry, biology or physics. And the deep in deep tech refers to the depth of the innovation or the breakthrough that is required and oftentimes the long lead times of research and iteration before breakthrough occurs. Fundamentally, deep tech startups are focused on answering the question is this scientifically possible? And they're very product oriented and focused. Frontier tech startups conversely are no longer answering the question of does the science work? The risk has shifted from a science risk to more of an engineering execution and a market based risk. And the frontier in frontier tech refers to the being on the near frontier of mass adoption or mass commercialization. And so what I think is really interesting is if you look throughout the history of technology, the technology shift from deep tech to frontier tech to simply being referred to as tech. And I think artificial intelligence, AI might be the best recent example of this. From the 1950s all the way, you know, over 40, 50 years, artificial intelligence was confined to DARPA and university sponsored programs, academia, research labs, and as advancements happened to some of the fundamental elements of that, whether that's natural language processing, neural networks, machine learning, it moved from deep tech to frontier tech where Google and Meta and other MAG7 and technology companies now had the underlying building blocks available. And we're trying to figure out the right commercialization strategy from a feature and application standpoint. And whether you now point to the GPT moment a few years ago or other examples, no one refers to AI now as a frontier tech startup. Largely it is acknowledged as simply a tech company and a tech sector. And so I think autonomy is another great example of this. With Waymo and Robotaxi, autonomy for many decades was considered more of a deep tech oriented problem as sensors and optics and onboard compute needed to be solved. For it has shifted into frontier tech and becoming more and more mainstream by the day. So I think the interplay of these technologies is important for founders to signal to VCs where on the maturation curve they are and what the priorities of the business are at the time of funding.
