Kindred Ventures Predicts ‘Startup Explosion’ Thanks to AI

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Last week, we spoke with Kindred Ventures, a small nine-year-old early-stage venture company based in San Francisco. Despite investing in many startups (over 100 to date), the company takes a generalist approach, focusing on AI, climate change tech, consumer internet companies, cryptocurrency trading, Fintech startups, health startups, mobility startups, companies developing tools and infrastructure, etc.

It’s like trying to boil the ocean, but the company’s two managing directors, Steve Zhang and Kanyi McBella, are doing well enough that Kindred’s investors last year said they agreed to significantly increase its investment amount. In fact, after closing a $56 million fund in 2019 and a $101 million fund in 2021, Kindred closed a $200 million fund last year. It also closed a late-stage fund backing growth-stage companies in Kindred’s own portfolio for the first time. outside of it. In the latter case, they raised his $112 million as a commitment, bringing total assets under management to his $550 million, including several special purpose vehicles procured in the process. rice field.

While the company’s biggest wins to date (Uber, Coinbase, Postmates) have come from angel funds, the company is still a stealth startup founded by former Apple team members Imran Chaudry and Bethany Bongiorno. There is no shortage of promising new bets, such as an investment in Humane. It received seed funding from Kindred, which also led a $100 million Series C round in March.

We talked about various things with Jang and Maqubela. A podcast of that chat will be published soon. In the meantime, below are some excerpts from discussions centered around the future of startups and whether the ongoing advances in AI mean more or less.

TC: People are very interested in AI in general right now, so can you talk a little bit about the companies you funded?

SJ: We’ve been focused on frontier technology for many years, chasing companies with 10-20 year story arcs. Humanity is one of them. We invested in a company called Hourone AI, a video AI company in Tel Aviv, Israel. We are early investors in Tonal. Tonal has historically made heavy use of computer vision and machine learning, but is now upgrading much of what it does in that space and introducing many AI-related features. We have a company that works on robotics. We have companies in our supply chain. They are all capitalizing on the opportunities in front of them, including industrial AI as well as generative AI.

In terms of generative AI, there are many more application layer companies, hardware companies, infrastructure companies, and tools companies at the moment besides these foundational model companies. But as time goes on, given how empowering AI is, will he have four companies in the world, or will he have four billion companies? I don’t know yet.

KM: Oh, wow, more and more companies will emerge. This is part of the trend to raise the abstraction layer and allow more people to be builder. It used to be. [wanted] Building anything required a certain skill set, but in practice it was restricted to a very small portion of the population. But the first wave of computing gave everyone superpowers, and each subsequent wave only gave more superpowers. And what we’re looking at right now, and this is pretty much seen across the stack, is that you can interface with very complex and large real-time datasets and without writing any code on those very A cardiologist who can perform interesting operations. She has a designer who can design full-stack websites, full-stack platforms and applications on her web without writing any code. It’s just a level of code. There are many other ways in which intelligence is complicated by these systems. So I think there will be a massive explosion of new startups due to the fact that more people now have access to more highly sophisticated software. tool.

Are you even a little worried that this explosion could destroy your business venture? If everyone could use these tools to run their own company, where would that scale be?

SJ: This question was asked a lot in the days of AWS, iOS and Android.All three have been released [around the same time] And people wondered: Does this mean anyone can start a company?ability to start teeth It will be much easier and that’s good for society.

For investors, the day may be approaching when access to startups and this fake network will be heavily controlled, based on pedigree and brand, to their advantage. What we love is that more entrepreneurs are now able to bring their product ideas to life, and I think that’s great overall. So for old guards it might be problematic but for newer guards investors like angel investors, small seed funds or large lead seed funds I think this is great .

But when everyone has these super-sophisticated new tools, won’t everything eventually become a commodity?

KM: We were actually discussing something similar last night. The first thing to think about is that there are probably endless ways to customize information, and that customization actually creates extraordinary consumer surplus and extraordinary power for the end user, especially when it comes to media and content. The ability to consume highly personalized content, to create highly personalized content, and to make that content flexible will benefit entire industries: medical and care coordination, communication, mental health, friendship, social networking, and more. Applied, but really, really powerful.

Another thing that I think is worth noting is that we are in a very interesting situation right now. Steve mentioned when all this amazing new platform hit the market at the same time. It’s been quite a while since then, and we were all just having fun with mobile and SaaS. It will require new ways of thinking about how to activate business models, new metrics, new benchmarks. This is really exciting, especially for early stage investors who are focused on product and innovation starting points. But it will be different than the last cycle. It was by design in the same way that mobile and SaaS were very different from the first internet cycle, and the first internet cycle was very different from the cycle before it.