In short
Podcast Notes: Billions - Episode with Jonathan Userovici
Overview
Podcast Title: Billions Episode Title: How the next generation of billion-dollar investors think - Jonathan Userovici Host: Guillaume Moubeche Guest: Jonathan Userovici, General Partner at Headline Duration: Approximately 55 minutes
Description: In this episode, Guillaume interviews Jonathan Userovici, one of Europe's youngest General Partners from Headline, a global venture firm. They discuss Jonathan's insights into spotting future billion-dollar companies, the nuances of fundraising, and the dynamics of AI investment opportunities.
---
Key Topics Discussed
- The Unicorn Phenomenon
- Unicorns Defined: Companies valued at over $1 billion.
- Short-lived Status: The term "unicorn" is evolving; many companies that once reached this status are now struggling ("zombie unicorns").
- Focus on Long-term Compounders: Jonathan emphasizes the importance of backing sustainable businesses rather than chasing fleeting unicorn valuations.
- Characteristics of Successful Founders
- High Iteration Rate: Founders who are capable of rapid testing and adaptation are preferred.
- Speed and Execution: The ability to iterate quickly on product development, hiring, and go-to-market strategies is paramount.
- Examples of Success: Companies like Homa Games and Swile illustrate founders who demonstrated exceptional iteration and adaptation skills.
- The Role of AI in Investment
- Opportunities in AI: Discussion about where the biggest AI opportunities lie, particularly in application layers versus infrastructure layers.
- Examples include companies like Eleven Labs and Lovable, which focus on specific AI applications.
- Future Potential: AI as an enabler for companies and SMEs to access capabilities previously unattainable due to cost or complexity.
- Cash, Secondaries, and Investor Incentives
- Incentives for Founders and Employees: The importance of liquidity to avoid financial anxiety and to enable reinvestment in growth.
- Secondary Market Dynamics: Discussion on the appropriate timing and percentage for secondary share transactions, typically after Series B rounds.
- Cash Management: The balance between primary capital needs and secondary cash incentives.
- Investment Strategy and Process
- Human and Machine Integration: Headline's approach combines human insights with technology to analyze startups effectively.
- Sourcing Tools: Use of proprietary sourcing tools (Deep Dive) to evaluate potential investments based on various growth metrics.
- Collaboration with Other VCs: Importance of maintaining relationships with other investors to share insights and data.
- Valuation Challenges
- Determining Honest Valuations: Navigating the rapidly inflating valuations in the AI sector requires a keen understanding of market potential and growth capabilities.
- Long-term Viability: The necessity to assess if a company's projected growth can justify its high valuation.
- Lessons Learned from Missed Opportunities
- Penny Lane Case Study: Jonathan reflects on a missed investment opportunity, highlighting that even promising teams can pivot to find success after initial challenges.
---
Key Takeaways
- Invest in Long-term Vision: Focus on backing founders with a long-term growth mindset.
- Adaptability is Key: Founders should display an ability to iterate and respond to feedback swiftly.
- AI is Transformative: The application of AI holds significant potential for broadening market access and creating new business opportunities.
- Healthy Cash Structures: Implementing secondary market strategies carefully ensures that both founders and early investors maintain healthy financial incentives.
---
Conclusion
This episode serves as a blueprint for understanding the evolving landscape of venture capital and AI investments. Jonathan Userovici offers valuable insights into what defines successful founders and companies in today's competitive environment. The emphasis on adaptability, long-term thinking, and strategic cash management presents a holistic view that aspiring investors and founders alike can learn from.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOSpotting Unicorns and Compounders
0:45 to 2:35
Discussion on how to identify not just unicorns but sustainable businesses.
“future billion-dollar founders, and where the biggest opportunities in AI are.”
The Importance of Speed in Founders
2:35 to 4:50
Exploration of the characteristics of successful founders, particularly the need for speed and iteration.
“And so basically our biggest office today is in San Francisco.”
Iterating at Scale: Examples from Investments
4:50 to 7:00
Examples of companies demonstrating rapid iteration and growth within their markets.
“and that's probably the thing we look at the most at the earliest stages, the speed at which you build the product and you ship the intensity at which you push, you know, code new features every other day, every week.”
Building Relationships with Founders
7:00 to 9:10
Insight into the importance of establishing relationships with founders before fundraising.
“And so I'm at the board of companies like Homa Games, for example, or I was for a long time at the board of Swine.”
Investing in Mistral: A Case Study
9:10 to 11:20
Discussion on the investment in Mistral, highlighting decision-making based on personal networks.
“And so we know a lot of people in common and also very good friends of friends.”
Strategic Acquisitions: The Swile Example
11:20 to 14:00
An examination of Swile's acquisition strategy and its implications on growth and market competition.
“And, you know, I just knew after five minutes that we have to, you know, we have to backhand.”
Understanding Synergies in Acquisitions
14:00 to 15:00
Learn how scale impacts company growth and acquisition strategies.
“which was a little bit of a legacy player.”
Engineering Successful Deals
15:00 to 16:15
Discover the thought process behind structuring deals in acquisitions.
“But, I mean, it was, there was a difference, but it was not that big, just to mention that.”
The Unicorns and Valuation Landscape
16:15 to 18:20
Explore the challenges and advantages in the current valuation market for unicorns.
“So you have to be a founder who thinks differently, out of the box, bigger, right?”
Strategies for Acquiring Companies
18:20 to 19:50
Understand how high valuations can be leveraged in acquisitions.
“in order to leverage basically like the value of your stock?”
Show all 27 chapters
Building Relationships with Entrepreneurs
19:50 to 21:05
Learn about the importance of networking and relationship management in VC.
“And also like how exactly do you create deal flow?”
Leveraging Technology for Deal Flow
21:05 to 23:25
Discover how technology and data are used to enhance deal sourcing.
“And we are trying to build this, you know, great investment teams all over the world.”
Collaboration Among Venture Capitalists
23:25 to 25:10
Understand the role of collaboration in sourcing deals and gathering data.
“Because if you have like, you know, like that many data combined, I think it can potentially be like super powerful also.”
Trends and Insights in Niche Markets
25:10 to 28:01
Explore the importance of market intelligence in identifying investment opportunities.
“And maybe can you explain how it's structured among the funds?”
Investing in Global Trends
28:01 to 29:08
Learn how investors assess global trends to make informed investments.
“trying to invest in copycats, but we're trying to assess what's happening on a global scale.”
Customer Insights in Investment
29:09 to 30:08
Discover the importance of customer interactions in shaping investment decisions.
“the website and you see like, I don't know, like five or six people like giving testimonial, reach out to them directly or how does that work?”
AI Application Layer Insights
30:09 to 31:06
Understand the differences between AI infrastructure and application layers.
“And you mentioned, I think I forgot in which article it was, but you were talking about the AI application layer.”
Investments in AI Applications
31:07 to 33:25
Explore the potential of AI in healthcare and legal sectors.
“is actually becoming themselves applications, right?”
AI as an Enabler for Small Businesses
33:26 to 36:28
Learn how AI is creating new opportunities for small and medium enterprises.
“I'm, you know, currently I'm still very excited about, you know, the text-based application.”
Understanding Secondary Investments
36:29 to 37:55
Gain insights into the role of secondary investments in funding rounds.
“professional and more approachable for a lot of people.”
Balancing Cash Incentives
37:56 to 40:28
Discover how to balance cash incentives for founders and employees in startups.
“that the most important is primary capital.”
Fund Strategies for Selling Shares
40:29 to 42:00
Learn about when and how funds decide to sell their shares in companies.
“especially if you want to, you know, pay back a loan, if you want to do a down payment for a home, if you want to just, you have a big family need to pay for schools or whatever.”
Navigating Investment Liquidity
42:00 to 43:00
Learn how venture capitalists decide when to sell shares for liquidity.
“which shouldn't be a lifetime event, right?”
Collaboration with Founders
43:00 to 45:20
Discover how VCs and founders work together on share sales and company health.
“Obviously, our job ultimately is, you know, to give back as much money as we can to our IPs.”
Understanding Liquidation Preferences
45:20 to 49:00
Explore the complexities of liquidation preferences and cap tables in VC deals.
“So we never do these things in the back of the founders and we always work together on what's the best moment to do it.”
Valuation in a New Era of Investment
49:00 to 51:20
Examine how VCs assess company valuations in the rapidly changing market.
“And basically, if you sell the company for less, the founders, they take the first 5-10 % and then it flows into preference.”
Lessons from Missed Investments
51:20 to 55:20
Hear insights on missed opportunities and the importance of market approaches.
“And I feel like with the AI, we started to enter like kind of a new era, you know, because the valuation we're talking about and I've invested in companies like Grok on secondary market or this kind of things.”
Transcript
Automatic transcript. May contain errors.0:00OpenAI is 500 billion, but it's gonna be 1, 2, 3 trillion. It's going to be trillions. I don't know exactly what I can say publicly. Content creation is going to happen next year. What we really aspire to do is to back the next generation of founders. You can get to unicorn status very fast, but it can also disappear pretty fast. Money on paper is not money and valuation paper is not a valuation. And that's why we have a lot of zombie unicorns from 2021. Today on Billions, I'm sitting down with one of Europe's youngest general partners, is Jonathan UseroVC from Headline, a global venture firm that spots the next billion-dollar companies before anyone else.
0:35Jonathan already backed some of Europe's fastest-growing unicorns and is quietly redefining what it means to invest with both data and instincts. In this episode, I want to talk about the behind the scenes of fundraising, how we spot future billion-dollar founders, and where the biggest opportunities in AI are. And of course, we'll talk cash, secondaries, cap tables, and the real economics behind. staying hungry once you're rich on paper. If you ever wondered how the next generation of billion-dollar investors think, this episode is your blueprint. Thanks a lot, Jonathan, for being here. Thanks for inviting me.
1:10I'm super excited to do this episode. We've known each other for a few years now, and I've always admired, you know, like the way you invest in companies and how you back founders. So it's really cool to have you here. I know that you've already invested in a few unicorns, And I would love to understand how exactly do you spot, you know, the best deals before anyone else because you invest quite early in companies. You know, we talk a lot about unicorns all the time and it's, you know, it was a great term to use in the past years to define success, I think, in the vendor industry. But it changed also.
1:47It changed also. I mean, if you think about what we really try to spot more than unicorns, I would say it's, you know, long term compounders. compounders. So you can get to unicorn status very fast, but it can also disappear pretty fast. And we saw that in 2021, you have a lot of unicorns stuck now at the status that are not, you know, real unicorns anymore. And so, you know, I would say that what we really aspire to do is to back the next generation of, you know, founders that are really looking to build long term, big compounders, big businesses that are enduring and sustainable. And at the end of the day that can IPO or stay private for a very long time, but that can be independent.
2:27And so, you know, to do that, I mean, you know, our mission is basically to invest early and to help them get to that stage. And so the unique value proposition that we built headline as a team, and then, you know, I can discuss a little bit more in detail what, you know, I'm doing personally, but the mission is really to help the founders go international and basically conquer the biggest markets that you can go, that you can expand into. And so basically our biggest office today is in San Francisco. We also have people in New York. So that's, you know, in the US and North America. And then we're in Paris, where I sit today, in London, in Berlin, in San Paolo, in Tokyo, in Southeast Asia.
3:10And so our mission is to find founders that are Europeans or, I mean, you know, that's my personal mission and to help them go international. And that's what we're trying to spot is the founders that can go international, can really think big and can build companies that, you know, don't hit the unicorn status, but one day can hit, let's say, $1 billion of AR, actual revenues. So we start with zero. You know, we have them yet to 100. And then, you know, obviously the long-term goal is to get to a billion. And do you see like any common characteristic for these founders, you know, want to grow like internationally?
3:48Is that just people telling you like, hey, we want to build an international company? Or do you see like any common traits for the founders? I think what we're looking, you know, after iterating a lot, I mean, our job is also to iterate all the time. And to be honest, with the age of AI, I'm asking myself every day the same question. is that's the founder that, you know, had this characteristic to build like very big companies 10 years ago. Is it the same type of founders that we should back today? I think, you know, one common trade between, you know, when I started more than 10 years ago, actually today, and today's we're looking for founders that have a very high rate of iteration, like testing all the time and, you know, the speed and the quality of execution to try new things.
4:36and accept when it's a mistake very fast, but also damele down when it's the right thing to do is what we look for. And so iteration, you can see it in many different dimensions. You can see it in the way, and that's probably the thing we look at the most at the earliest stages, the speed at which you build the product and you ship the intensity at which you push, you know, code new features every other day, every week. and so that's probably you know one aspect but iteration you can you can look at it in many many different ways right so the speed at which you hire people and you know great people obviously is important if you want to if you want to scale at some point the speed at which you test new you know gtm motions especially in the age of ai so i think generally speed is something that is very you know important and that's maybe the the first thing the speed of you know learning what we basically called the learning curve.
5:34It's probably a very, I mean, the common trait is that it's very steep for most of founders who are building very big companies. And this is - Do you have like specific examples of a company you've invested where you felt like the speed was insane like from day one? I mean, most of the companies we've invested, I mean, what's interesting is that as VCs, and I think that's a nice tip for founders also who are looking to raise funds, you always try to basically build a relationship with founders ahead of the fundraise so the minimum six months maybe nine months maybe 12 months you know you know before they build the company or before they raise the seed or series a and so you can actually assess that for a long time sometimes it's not possible it happens right and you assess that in a very short time frame and this very short timeframe is more or less, you know, the fundraising period.
6:29And so most of the founders we back, and the concrete example is really, you know, and all of the founders we back, iterates very fast between the first interaction in the fundraising process and the last round. So they would, you know, start pitching something and they understand the feedback from VCs or from the market is not great and they would adapt and then, you know, they would, you know, double down and double click on the things that they felt, you know, were just not great at the first pitch, for example. And so that happens many times. And what's really interesting is to see that speed of iteration at scale.
7:01And so I'm at the board of companies like Homa Games, for example, or I was for a long time at the board of Swine. And so speed of iteration is not only at the beginning when you invest and at the seed stage. It's actually more common to have that at the early stage. but what impresses me is to see you know founders actually iterate very fast with big companies 100 200 employees sometimes 500 a thousand employees and they always manage to challenge the vision taste new things adapt you know a little bit the pitch and transform also the initial vision into enough iteration at scale that allows you to find the right path to build an enduring company and so you know typically uh you know a company like swile which really started with, you know, meal vouchers, really transformed over time into a company that is, you know, a spend management company dealing with many, many benefits for employees now going into trouble.
7:59And you can see that, you know, iteration and speed of basically becoming, I mean, you know, product velocity to become a one-stop shop is also insane at scale, right? A company like Homa Games, I mean, you know, they started with, So both are actually serial entrepreneurs, Loic from Swile and Daniel from Roma. They really started very fast iteration, hyper casual games. And now the engine that they build and the technology that they build allow them to basically launch super high quality games that are becoming casual games and generating, you know, hit driven kind of revenue scaling, which is very big.
8:36And so, you know, you have signs at the beginning, but you also assess over time. And that also defines the way you reinvest over time in a company, which is a big component of our job. And you mentioned that the best way for founders to potentially raise is start building relationships like six to nine months in advance. You also mentioned that in some cases, it doesn't really happen like this. I know you've invested in Mistrau, so I'm guessing the round went also pretty quickly. With AI companies and such high valuation, like how do you decide you know like to to make that call and and invest early do you only focus on the team do you focus like because you don't really have time i guess to to see how fast the company can iterate like what's what are your tips uh you know when it comes to it i mean there are different examples mistral is a little bit also particular because you know we are with uh with He's the CEO, Arthur Mensch, more or less of the same generation.
9:38And so we know a lot of people in common and also very good friends of friends. And so basically, I've heard of him and I've known him for a long time. And so basically, when someone of your circle start to build something, you know, you heard of him from people who know him very well, deeply personally, but also professionally. And so the diligence is actually happening over the years. And that's the beauty of being local when you invest at the earlier stage. And now we are talking about pre-seed, pre-revenue, pre-everything, right? Because we invested in Mistral when they had no revenues. And so when you've been in an ecosystem for a very long time, you track a lot of profiles and you hear of a lot of people in a good or in a bad way.
10:29if you hear about someone in a good way once and a second time and a third time, it means you have to double click, right? Just because, you know, when you talk about this friend who is just amazing, you know, professionally speaking and always, you know, getting promotion early and performing so well at one of the big companies or one of the best startups, I mean, you double click and you start spending time with these people, right? So the diligence is actually happening over the years for many companies. For other companies and for people typically that are maybe not in my circle or not of the same generation, it can be older people, it can be younger people, it can be other circles.
11:09Then, you know, you need to have said that very early and in real time. So I can give you an example, but, you know, two companies, one, you know, Swyll, when I met Loic, it was really, you know, what we call love at first sight as VCs. And, you know, I just knew after five minutes that we have to, you know, we have to backhand. And so it was at a time where they didn't have revenues. They just were launching a new product because it was a pivot. And the end of the advantage is that I had already digged into that market. So I knew there was an opportunity. And when you have already dug into a market and the right entrepreneur comes in front of you and pitches you something that you want to hear, basically, because you feel these are the good answers.
11:52And you have an intuition about the right things to do in the space. you know you you want to do it basically and uh and loik is uh you know i knew after five minutes and i think after three days we did a we wrote a term sheet and obviously now you know the company is very big and it's a unicorn etc but uh i mean it's also you know the revenue scales i think they published their numbers it's like 250 million of of rents and profitable so it's a real sustainable enduring company actually like first world maybe we can build up on this because um i think they did something like extremely smart where they acquire another company that was like a leader and that was making like maybe four or five times their revenue like at that moment are you still on the board like is that something you you like watch out from afar or were you like I don't know in the discussions when they they decided to to acquire that company maybe you could share some stories about it yeah so uh I I mean at that moment I think I was still on the board and I was I mean, I invested in Swal when I was working at my previous firm.
12:56So it was called ID Invest. And so we let, you know, the big seed or the pre-series A. So it was the first round for that product, which is the benefits products. So, yeah, I mean, that was a big, a very big move that, you know, I think the CEO worked on for a very long time. You always have to, you know, it never happens overnight with things, right? You have to think about it ahead of time. and it really happens over 6, 12, 18 months sometimes. And it was an incredible move in that market, right? Because what is interesting with Swile is that it's typically a company that was targeting an oligopoly.
13:32It's very difficult to target an oligopoly. So there were three, four players and they were locking the market. And so when you target an oligopoly, you generally require a lot of money to get to a point where you can then scale. And so Swile is typically that example that raised a lot of money with not so much revenues at the time to get to a size that they could compete. And when they got to the size and the growth was very, very impressive when they acquired the other player called Bimpley, which was a little bit of a legacy player. They knew that this would unlock so much synergies because it's a market where the more scale you have, you know, just the better company you can build because you have a lot of the corporate effects coming with the scale.
14:18From an investor perspective, because like if I remember correctly, like Swy was growing extremely fast, as you mentioned, in the tens of millions in revenue. And Bimpli was more in the hundreds, millions of revenue, but pretty flat or like not growing like a lot. I've got two questions. The first one is, how do you engineer the structure of such a deal? Because acquiring a company that's bigger than you technically or that's making more revenue than you? Technically, it's something that no founder would think of. And the second question is, yeah, let's start with that one and I'll jump on the other question afterwards.
14:56Yeah, so, I mean, the difference between Swyland and Vivi was not that big. Okay, okay. But, I mean, it was, there was a difference, but it was not that big, just to mention that. And then, you know, it's funny that you're saying founders are not thinking about acquiring bigger companies, but, you know, why not? Why are you not thinking about it? The question ultimately is what's the best setup and who is the right leader to build the compounder and, you know, the consolidator, if you need to acquire companies or just a compounder, meaning you can compound, you know, over the years to hundreds of millions and at some point billions of revenues, right?
15:37And so BVT was part of a big group And obviously Swyland was the leading independent player with a lot of innovation, a great innovation pace, a great brand. And so I think the two companies together decided that under the Swyland brand and under the Swyland leadership, leadership that would also welcome, you know, the strength of Bimpley leadership and the strength of Bimpley customer base, the synergies would actually be much more than one plus one, right? And so how do you engineer the deal? You have to be Loic. So you have to be a founder who thinks differently, out of the box, bigger, right?
16:19And so, you know, you should never think of an acquisition because it's too big or because It's too small, but just about how together you can really build the biggest company possible at the fastest pace possible. And then, you know, economically, you have to make it work. Right. And so we managed to find a way to make it work for everyone to be very happy about the deal. you know, the deal and BPC, who was, you know, the owner of BIMK, they are now a very big, if not the biggest shareholder of Swylle. I think it was, yes, it's like 20 % something. So the deal was a mix of shares and cash. Is that correct?
17:04Yeah, so I don't know exactly what I can say publicly, but generally it's always, it's most of the time, it's a mix of shares and cash, especially. scale-up requires another company so I think what was interesting for me in that case it's like we often talk and you mentioned it earlier in the beginning of the episode it's like unicorns it was a term that's been used a lot and we've seen in the last year like some billion dollar company just go to zero Swyld obviously is definitely not part of them as you mentioned profitable in the hundreds of millions in annual recurring revenue. But still, you know, like whenever you look at private market valuation, you see that the multiples on this market are usually like a lot higher versus public companies.
17:59And publicly traded companies are usually like best in class because they manage to, you know, reach that IPO level. So do you think that in the structure of the deal, the fact that you can have like a super high valuation as a scale up, can actually help you and be a competitive advantage in acquiring maybe like or merging with more legacy players in order to leverage basically like the value of your stock? Yeah, I mean, that's, you know, it's a very good question, but it's also to acquire a legacy player or a new player. I mean, you know, it doesn't make a difference. At the end of the day, I think the question is, you know, is high valuation, you know, a good thing to basically acquire companies, you know, with stocks, right?
18:42And so I'm in an exchange of shares. And I think this is a strategy that a lot of companies are using. And it's a great way to acquire companies. So basically, if you are the right compounder and you have the right leadership, of course, it makes sense to have, you know, to coin a pretty high valuation to acquire entrepreneurs or companies that can, you know, create additional value. And I mean, recently when you see companies like Deal, which is an amazing company raising a very small amount that I think it was 17 billion valuation. Obviously, this company is very profitable. So the goal is obviously to call you an evaluation.
19:17Why do you do that? You do that to acquire a company, to prepare for an IPO, to potentially do secondaries for employees or attenders. Nice. Yeah, that's cool. And if we go back maybe a little bit on the process side, because I think you mentioned, you know, like the part that you've built among the years. So I know like you meet with hundreds of entrepreneurs every year. Maybe you could share like kind of like your system on how, you know, like do you make sure to follow up with the right ones? And also like how exactly do you create deal flow? because I know that I think the first time I talked with Headline, it was like six years and a half ago or something with someone from your team also in San Francisco.
20:06And they kind of shared, you know, all the tech stacks that they were building. And I think this is quite interesting. So my question is like, maybe you can walk us through, you know, like how do you keep managing and building your relationship and maybe like explaining if you score founder when you meet them or if you have like a specific way of keeping the right relationship and then like go through the full pipe from sourcing to closing with the tech that you have actually built internally. Yeah, so I mean, you know, Headline is now 25 years old and so the team has built incredible tools internally.
20:43And so our approach is really to combine human plus machine. So human is, I mean, at the end of the day, the value of a venture firm is a lot about the humans. I mean, and we are trying to hire to build the best team internally. So, I mean, I work with, you know, an exceptional team in Paris, two investors that are, you know, probably part of the best of the generation. And we are trying to build this, you know, great investment teams all over the world. And because a lot of our work is, as you said, it's network based. It's how do you, you know, give the pattern recognition of what a great team is.
21:20but how do you also, you know, win the heart of founders so they want to work with you, right? And so you have to build the best, you know, in testing team. So that's, I think that's the core, you know, principle. But we combine that with a lot of technology. So we had a lot of engineers internally and we built a lot of tech and we built two pieces. One is a sourcing tool called Deep Dive. And so basically, you know, Deep Dive takes millions of data points and it can be on many different fronts. It's not only about, you know, how a company is growing its HR, which is generally a signal that triggers interest for VCs.
21:57Because if you hire, it means that you're growing, you know, in a way or another. But we're also tracking many, many, many other things that shows growth of a company before you actually grow the HR. Nice. And we have our secret sauce, you know, of doing that. And so we're very systematic. when something appears on our tool, we basically reach out and then we start building the relationship. And then we have also a data-driven approach when it comes to analyzing the KPIs of a company, whether it's growth or very specific venture capital KPIs that you know very well. I mean, net dollar retention, gross dollar retention.
22:36So everything retention, efficiency of the spend and all other metrics, basically. okay, and we have 20 years of benchmark. So typically, let's say someone from the team looked at Lemlist six years ago. We can compare with a new generation Lemlist and assess, is it growing better with Lemlist? Is it growing better than peers of their new companies now of this generation? So we can say, between the seed and Series A, or between the zero to two million or three million or one to 10 million of AR, this company is growing much better with better economics, with better retention. So we are very data-driven in this approach and we combine the two to make the best investment decisions.
23:21Is it something you keep to yourself or do you also like put it in common with other VC firms? Because if you have like, you know, like that many data combined, I think it can potentially be like super powerful also. Yeah, so I mean, so we don't, I mean, it's proprietary. Yeah, it's proprietary. Okay. You know, only headline using this. But at the same time, we work a lot with other VCs. I mean, a big part of our job is to collaborate with other venture investors. It can be business angels or earlier investors in some companies we want to invest in. It can be later stage investors. And actually, it's an interesting academic and research topic.
23:58In the U.S., the people who did the research on venture capital, maybe not the most interesting research of all time, but still very interesting work, So that the main source of deal show for a VC, no matter when and what cycle you look at, is other VCs. You know, that's what comes from, you know, thousands and tens of thousands of interviews and basically research in this space. And so as a VC, you always collaborate with the rest of the investors to find spots, understand which companies are doing well. And that's a way to gather data points. so let's say you know you have an in the middle m this has an investor an early estate investor and i would try to understand you know with uh with this investor what companies is working well why is there you know a new hire a new contract something that shows you know an inflection point in terms of you know go to market etc so we gather a lot of information through the vc community that's why you know founders always said that they say that vcs you know gossip all the time and repeat everything there is a truth to that uh and i can tell i can confirm no it's nice and actually it's quite funny because um i remember like back in the days um headline was on one was probably like the first uh like serious vc phone to reach out with and it was like pretty accurate you know like all the data they had i know they were like checking traffic, backlink, like a lot of I think there were like hundreds of things and they kind of shared the backend and it was pretty impressive so I was like, okay, this is actually pretty cool so congrats on that We actually we do Xemis for the reachouts which is funny, right?
25:49Our work is not the promotion podcast but it's funny so we re-automate all the reachouts and all the vanilla That's cool and there is something also like you mentioned earlier that i wanted to dig deep because it's maybe you know you can walk us through when whenever you you dig in into a specific topic because you mentioned it with swile you know you had done like your research for a lot of time on a specific vertical you were like mapping all the players and the opportunity and then there is this founder who comes to see you and he has like the same analysis that you have so like how much time do you spend on one vertical?
26:30And maybe can you explain how it's structured among the funds? Yeah, so that's one of the reasons why I joined Headline initially. Why? Because we have so much intelligence globally. So because so many people work in so many different cities, we know what's happening in the private market. So typically, if you say, I want to dig or I actually realized, I realized that the US team, they've been looking at three, four companies in the same space. Let's say, I'm going to give a very current hype, whatever space, but let's say AI customer support. So there's like two or three companies that are raising seed series A's with great funds.
27:15We spoke with the founders and they have an initial traction that is amazing. and then you talk to someone in Asia and similar things are happening and so then you would say, okay, there is something happening in this space. I'm going to spend more time and the great thing being a VC is that you can spend time with the best people in the world specialized in a topic and learn very fast in something. So you speak with the best founders on a topic in the US and other regions and then in Europe, I'm like, okay, I'm going to look for something that is actually building in the space and that has a right to win in Europe because the space is very big and some new, you know, an innovation and something is happening in the space.
27:57It's going to lead to the creation of very big companies. And so I'm not saying we're trying to invest in copycats, but we're trying to assess what's happening on a global scale. So basically we can have a very high degree of intelligence and information on a new trend. And maybe five, six years ago, it was less relevant because there was less innovation. But today in the age of AI, so many new things are happening all over the world that when you learn about a new trend and you're very fast, you're able to invest in the category, whether it's the first one or the fast followers, which sometimes can be more interesting.
28:31And so that's what we're doing. And when we do sprints on something, we call it roadmaps, it can really be over one, two, three, six months. And then you have enough knowledge to invest in the space. If you have not done that in that period of time and we speak with all the founders with all the players we form convictions what works what doesn't work you know and then you meet the 10th founder in the space so the fifth and you say okay what is saying that makes a lot of sense because we have spoken with a lot of customers a lot of players and we think this is the right thing to do to win in that market nice so when you mention you speak to customers like you reach out to them maybe you you look on the website and you see like, I don't know, like five or six people like giving testimonial, reach out to them directly or how does that work?
29:20So first we have a pretty big base also of MPs and we work with a lot of corporates and we also, we have a lot of corporate network in every city because we're local. So I'm, you know, I'm in, let's say in charge of the corporate network in France. And so I have a lot of network in there and same thing in Germany with my partner, Christian Miller and same thing in the US, etc, etc. So first, we have access in the networks to a lot of people that can help, whether they're customers or leads or the ICP of this company. And so they can give a lot of details about benchmark competition, etc. And then when we can't reach out to the customers, we use platforms that help us reach out to experts.
Read the full transcript
30:01These are called the expert platform. And so we ask them to find basically the relevant people and we speak with them like 30 minutes or an hour. to understand more. That's cool. And you mentioned, I think I forgot in which article it was, but you were talking about the AI application layer. So not just LLMs. And you were saying that Europe is also doing really great things. I think we've seen companies like Eleven Labs. I think it's like $100 million in profits. I think we have Lovable, which is also like growing crazy fast. Like what's kind of like your view on LLMs versus like application layers?
30:45Because I know you've spent a lot of time like working on this. So I'm curious to understand like your vision. In the age of AI, obviously the infrastructure place, you know, became very big and very interesting, OpenAI, Anthropic, Mistral. And so, you know, what is interesting is that we spent a lot of time at the infralayer and we realized that a lot of the infra is actually becoming themselves applications, right? And so, you know, you feel that the infra is going to be pretty concentrated over a certain number of companies. The application layer is going to be much more fragmented, a little bit like in the SaaS era, and that will lead to very, very big companies.
31:24And so, you know, now that, let's say, the base is very solid and we kind of know who the winners are at the infrastructure layer, I'm spending more time at the application layer. So, you know, at the infra, you know, obviously the, just to finish on that chapter, I think, you know, the LLM, so the text-based models were very interesting. That's why we partnered with Mistral. But the other assets are very interesting, right? And so the image and video asset to work on is very interesting. So we invested in Black Forest Labs. You also have like the other types of data, typically tabular data are very interesting and we invested in a company that is stealth in this field and that is, you know, hopefully the category leader now globally.
32:10So it's Europeans that are building the firm, you know, in the US as well. We invested in Bioptimus, which is more healthcare, biotech, etc. And obviously we missed Voice with 11 Labs, which is an AIPFRA company, but also an app, right? Which shows the transition and at least the full stackization of the infrastructure companies. And now that these companies are, I mean, it's pretty clear which companies are winning, more or less. I mean, we are looking at earlier investments opportunities at the application layer. And so the application layer, we are interested in everything that is at the intersection of where the AI is mature and where the labor force is scarce.
32:59Yes. So do you have an example, for example? Yeah. So to give you, you know, the very clear example from the, let's say the past already, are healthcare or legal. So healthcare, you know, scribing is now AI. Legal drafting is now AI, right? I mean, we've seen it with, you know, companies like Harvey or Legora. And same thing with healthcare. And now we're looking a little bit at the next, you know, the next wave of those companies. I'm, you know, currently I'm still very excited about, you know, the text-based application. Let's say the voice-based applications also in customer support. I think it's a very, very big space that, you know, is changing and in which a lot of BPOs and outsourcing don't make sense.
33:48So I think, you know, a lot of AI is going to eat market share, even though it's very difficult in practice for many reasons. And the second thing I'm very interested in when I see the, you know, the recent breakthrough models from Black Forest Labs is content creation. I think this is a moment for content creation is going to happen next year, I think. And video creation is such a big market. And it's, you know, it's so difficult to build when you don't have the resources. So let's say you want to do a UGC video. So let's say you need to hire an actor that is going to speak on top of your video.
34:34And you want to do it in 50 countries. And you want to do it in 50 languages. You need to find an actor in every country. And then do the process. And it's long. And then one of the actors, they will basically run your script. And they will make mistakes. I think this is typically where it would give access. AI will give access to things they couldn't do to a lot of SMEs and companies. So I'm trying not to be too theoretical. So that's a precise example. And do you feel like the biggest opportunities in AI? Because right now, in the example you gave, you have two ways to look at it. One way is to say we're replacing actors and this whole process of hiring people in 50 countries, etc.
35:21It's basically not going to happen anymore. So it's basically like replacing jobs and it's a huge market opportunity. Or do you see it more as you mentioned, some companies just don't have the budget. They couldn't do such campaigns before and therefore it opens a much broader market to, let's say, 10 times or 100 times the size of what it was before? Yeah, to me, this is the most interesting opportunity. And this is what I believe in, is that, you know, AI is an enabler for a lot of companies or people to do things they couldn't do before just because it was too costly or too long, you know, because they couldn't afford, basically.
36:08And I think it's true on a lot of different things. Maybe not as well yet as a human in some cases, etc. But, you know, this is opening opportunities at times you couldn't do before. I think this is, you know, the exciting opportunity for me and for, you know, SMEs and people who are going to for is that AI is opening new possibilities to scale and to become more professional and more approachable for a lot of people. Nice. I want to, I know I want to be cautious of the time. So I want to dig deep also in the secondaries, the cash incentives. I'm curious because we've seen rounds, you know, with hundreds of millions raised at very like early stage, things that we never had seen before.
36:56Have you seen like secondaries happening very early in some of the AI companies? You don't have to mention any names. And if that's the case, how do you balance the percentage of the total fund versus cash outs for either employees or funders? So talking about cash a little bit, I know you like it. So I don't see so many companies at the earliest stage. It depends on what stage you talk about. But at the seed and Series A in Europe, generally you have no secondaries. I mean, also these, you know, in the age of AI, you have a lot of seed companies raising where it's very fast Series A and the company is sometimes pre-revenue or is not, let's say, sustainable yet.
37:46So, you know, you don't see a lot of secondaries. The way, you know, the way, you know, at least I see things and most of the VC community and, you know, gratefully, most of the founders, that the most important is primary capital. So that's the first, you know, the first priority is to capitalize the company. And the company is what you have to optimize for. It's all the shareholders, including the founders, which, you know, were the biggest shareholders, especially at the earliest stage, right? And so it's always about primary capital. When you have, you know, too much, I mean, more demand than what you need in terms of primary capital, then you start talking about secondaries.
38:26And these discussions are healthy when they start at the Series B, I would say, or at a stage where the company becomes sustainable. Okay. And whenever that happens, let's say at Series B, what's usually the percentage of the amount raised that can go to secondary? and what's kind of the split between founders versus like employees? It's a very good question. And secondaries, you know, they are very important and they are also very healthy, both for founders and employees. And it's actually, you know, you can really turn it into a superpower, right? And for everyone to see the value, the real value of the company that you can actually get cash at some point out of it.
39:13it's always a we love having this discussion very transparently with founders it shouldn't be a taboo right and so the it really depends on the type of company and the founder to decide what is healthy in terms of amounts it's healthy to take secondaries because at some point you know you as a founder 100 of your wealth is your company right and so what you want to optimize also as a VC and also as a founder is not financial anxiety which is the case when you do zero secondary for years and you don't get any money out of the company you want to optimize for de-risking to take enough risks to get to a very big size that you know as me that if you want to get to a very big size you need to take more risk you need to maybe try to acquire a company like you did with Clap, which is a very good book, Congress.
40:13And to do that, you also, you know, to use that money to do additional investments and to take additional risks to bring the company forward and to a bigger size, you need to do that. So secondaries is always a very healthy and a very good idea at the right stage. And so, especially if you want to, you know, pay back a loan, if you want to do a down payment for a home, if you want to just, you have a big family need to pay for schools or whatever. I mean, you know, and so now to get very concretely, you know, in the amount, I think it's, let's say, what I see and what I think is, you know, related to be healthy is maybe, you know, one single digit of what the founder has.
40:55So, you know, let's say five, seven percent of what the founder has, you know, depending I don't know what it means in terms of amount, but it can be a good thing to liquidate and to get liquidity after Series B or C at some stage, right? And generally in terms of amounts, let's say it's between a million and a few millions, maybe up to five. I'm talking European standards. It's more in the US just because cost of living is also much, much higher. Sometimes it can be a little bit more than that. And then you have Android liquidity, right? And it's also super important. And it's an important moment, right?
41:37It can't be something you do continuously in the secondary market of everybody's sales. I mean, it has to be earned and to be a reward for the people who are performing, who have some tenure in the company. So generally we say, you know, liquidity is available for people who've been in the company for, let's say, more than two years. And who are the best performers? And then you incentivize the right people to get some liquidity. which shouldn't be a lifetime event, right? It should be something that, same thing, is believing financially, and then you need to reset and reboot for new expectations from these people to bring the company to the next day, right?
42:19And so in terms of, you know, let's say percentage of the fundraiser, it can also be, you know, 5%. Okay. Overall 10 % for employee plus down the liquidity. can make sense. Nice. And as a fund, because you start, you know, investing, you know, very early, like pre-seed, sometimes seed. As a company scale, when do you decide, like, as a fund, I also want, you know, like, to generate, obviously, like, money for my LPs. So when do you decide, like, you know, to sell your shares in the company? Do you do it, like, fully? Do you do it, like, step by step? Like, how exactly does that work? It's a good question.
43:02There are two answers to that. Obviously, our job ultimately is, you know, to give back as much money as we can to our IPs. And so that's really our goal. And so, you know, you need to generate liquidity. You know, what's very particular with the VC industry is that it's an outlier job. So basically, one, two, three, four companies, they will pay massively. If you look at a business model of a VC for that, that's what happens, right? And so you really have to, to get into these companies. So, you know, not the unicorns, but the decacorns, the compounding companies, a very, very big companies at scale.
43:36And, you know, you need to have a decent percentage of these companies. And so it's always about, you know, not selling too early, but also not missing the window to sell, right? And so it really depends on where you are with the fund and when you need to generate liquidity. You know, if you've invested a fund for 10 years and you don't have enough liquidity, it makes sense to start liquidating and do some secondaries in some companies to start giving back money to your LPs. It's very important to show that, you know, you can generate actual liquidity. If you have a fund that is, you know, 10 years in and you already get back three or four times the fund to your LPs, and you have, you know, which is the case for some of the headline funds, and you have like, you know, one, two, three big assets, you have no rush because then you can optimize for a very, very big multiple for the last piece, right?
44:28You don't keep it for 20 years, but it makes sense to wait for an IPO or a very big sale and not sell too early as well. And do the founders and other funds have like similar rights? Like how exactly does that work? Like for example, if you decide to sell some shares, do you have to tell the board about it? Is it like something you can do like a bit below the radar? Like how exactly does that work? It really depends on just shareholder agreement. For us, I mean, you know, we are in a business where, you know, reputation is probably the most important things. And for us also, obviously we work for IPs, but we also work for founders.
45:06And that's probably our North Star on a day-to-day basis, like on an operational basis. And so, and we always lead our colleagues. So we are very close to the founders we work with. and we work together with them, almost as co-founders, to build very big companies. So we never do these things in the back of the founders and we always work together on what's the best moment to do it. Also, not to send the signal we don't want to send if we sell because some people can interpret things in the wrong way. So secondaries, as I said a little bit earlier, it's never continuous. It's always moments. And for founders, for employees and for VCs and what is the right moment and the right stage in the company for us to sell.
45:51In some companies, we sold many years after the IPO because, you know, it was the fund has already given back and, you know, most of, you know, a lot of DPI. And so, you know, it's, you can wait. And in some cases, you also sell a little bit earlier, not all your position, but maybe a little bit and then a little bit more to show, you know, the company is actually liquid, right? And we never do that in the back of the founders. it's always in discussion. Okay. And when it comes to like terms, I know like as a VC, you often invest with like a liquid pref, but how exactly does that work? You know, when you have like, obviously like seed, then you have other investors coming in a series A, series B, series C, like how exactly do you negotiate the terms when you enter early?
46:41Because the reason I'm asking is typically I've done maybe like yeah around like 30 investments in startups a lot through like SAFE or you know like where you basically have like common shares or whatever and you know that even though you get like a small chunk of the business early down the line you can really get pretty much nothing if some VCs enters with like 1, 2x, 3x, liquid prep etc etc so in your case like how exactly does that work and do you have like a kind of voting rights where you can agree or disagree on the next funding round terms yeah so i mean the way it works and you know we are in the business of you know building cap tables and terms that scale so to come back to our the beginning of the discussion we want to back compilers and companies that scale and if you want to copy that scale, everything needs to scale.
47:37And in particular, the liquidation preference and the cap table, right? It's very important. And the governance, right? And so we work on play and super standard terms. And so the term is that in every round, you have a new share class, which is called a 1x non-participating, which I can invite everyone to chat GPT if they want to understand what it means. But basically, it means that it's not complex, it means that in every round it scales just because the new investor has a preference if the company sells. So typically, you know, if in the seed round you raise, let's say, 3 million and then, so you have like seed shares that are preferred, they're on top of the ordinary shares.
48:21Series A, you raise 15 million, it's on top of the seed shares. And so, let's say you know, you sell the company at the very minimal amount, then the preferred shares have the right to take the money before the ordinary shares. So basically, the latest investor will always get its money back first. Yeah. So it's a little bit more complex than that because we generally, you know, you as an investor, you never sell the company. Yeah. So the truth is that you also have to incentivize the founder of the company, right? And so what we generally do to do that is you always have a carve out, which can be between 5-10%.
49:02It really depends on the cycle. And basically, if you sell the company for less, the founders, they take the first 5-10 % and then it flows into preference. That's the little loophole. But technically, it can also mean that if you were there in Series A or C and then eventually in Series D or E or whatever, like maybe a series that's like much later for some reason they raise a lot more but they can't you know like reach uh the the AR goals or whatever it means that technically as a an early stage investor you could get nothing absolutely that's the okay okay okay don't forget the stag and then you know you but you know as I said we also work always at the board of the companies and generally very close to the founders.
49:56And we try to avoid these situations where a company would raise them too high of a valuation, too much money when they are not at the right stage. Because, you know, I actually, you know, I'm going to say something maybe a little bit contrarian, but I think it's very important for founders to have optionality. And so you always have to raise it a valuation that allows you to have optionality. Optionality is optionality to become profitable, optionality to sell the company if you have a great offer, optionality to raise more money. And so at every stage, you have to assess that and assess as a founder, more than a VC, early-stage VC, as a founder, do I have the optionality?
50:34And if you raise 200 million at a billion, when you do 5 million at revenues, you don't have a lot of optionality as to that. You have to execute perfectly. And, you know, the market has to be what it is, which is very high, very hot, and the capital has to be available. And so we try to avoid this situation. We don't care about having, you know, a big multiple on paper. Money on paper is not money. And valuation on paper is not a valuation. And that's why we have a lot of zombie unicorns from 2021. What we care is about building the right scape table at every stage to maximize the path to, you know, build a very big company.
51:14And that's not by doing follow-on rounds very quickly with no milestone reached at crazy valuations. Okay. And I feel like with the AI, we started to enter like kind of a new era, you know, because the valuation we're talking about and I've invested in companies like Grok on secondary market or this kind of things. And you see the valuation is basically quadrupling every six months or whatever. Like it's pretty insane. And we're talking about insane numbers. I think OpenAI recently was like 500 billion or something like this. So it's things that we've never seen before going like that fast. So how exactly, you know, as a VC, do you like decide what's an honest valuation and that you're not, you know, like way out of market?
52:03That's the$1 billion question. So, but that's exactly the job. The job is to try to figure out in which company you can actually invest in such a valuation. and in which company you can opt. And so, you know, the way you think about it, you have like two aspects. One, which is the one I'm always thinking about is, you know, long-term. That's long-term, this company can really build a very big company that can generate a build multiple from there. And obviously, to think of a company like Mistral and just AI, generally speaking, especially at the infrastructure layer and very whole reason on play, the market is so huge that you can't deliver, you know like open air is 500 billion but it's going to be one two three trillion it's going to be trillions and you know so you can invest at such valuations even though you know it's uh it looks you know high if you look at the revenues today it's actually not that crazy i mean open air is already generating tens of billions of ar right so you know it's uh and at the same time you know a non-AI software company that is growing very fast, but in a smaller market, or let's say a vertical AI company that is in a market that is a little bit more capped, you know, you can't invest at, you know, crazy valuations because then it's very difficult to underwrite what you want to underwrite, which is, you know, three or four or five X, a 10 billion valuation.
53:30I'm thinking about very late stage, you know, rounds. So that's, you know, the first thing is like, ultimately, does the market size that I think is reachable, allow very big outcomes. And at this kind of stage, it's still like 2, 3, 4, 5x. Nice. I want to ask maybe like one last question. What's one company that you could have invested in and that you decided not to? And today that is like really, really like striving. Honestly, I mean, you know, there's so many companies that, you know, we lived in the past years. And so I think, you know, Eleven Labs is a very good example where it's a company who will bring to invest in and they're getting super well.
54:15So for me personally, I think, you know, Penny Lane, which is, it's not an AI, etc., crazy company, but... I had Arthur on the podcast, actually. Yeah, Arthur is great and the founding choose is also great. And I think it's typically, you know, it's not an AI crazy NLN, you know, but if you think about compounders, like long term compounders that can, you know, generate hundreds of millions of dollars, even maybe more, you know, at some point, if they crack international and some expansion topics. I mean, it's typically the right company to do so, right? And it's enduring and it has moat, right?
54:55And so when they raised, let's say, the Series A, which was actually a very big seed, they were pivoting. And so, you know, I knew the team was amazing. And, but, you know, the way they were approaching the market was not the right angle. And I knew this was not the right angle and it was not scalable. And they also kind of knew it. and they decided to pivot after the round. And so, you know, the lesson is always that, you know, the best teams, you know, they build the, you know, the biggest companies and they know how to iterate and navigate, you know, to come back to what we were discussing.
55:31And if at the end of the day, the market is big enough, they will find the right business model, which is exactly what Benelene did. So, you know, congrats to them. Awesome. Thanks a lot, John. Was a pleasure. Thanks a lot for inviting me and spending that time, that moment together.
From the publisher
Today on BILLIONS, I’m sitting down with one of Europe’s youngest General Partners — Jonathan Userovici from Headline, a global venture firm that spots the next billion-dollar companies before anyone else.
Jonathan’s already backed some of Europe’s fastest-growing unicorns and he’s quietly redefining what it means to invest with both data and instinct.
In this episode, I want to talk about the behind-the-scenes of fundraising, how he spots future billion-dollar founders, and where the biggest opportunities in AI are.
And of course, we’ll talk cash — secondaries, cap tables, and the real economics behind staying hungry once you’re rich on paper.
If you’ve ever wondered how the next generation of billion-dollar investors think — this episode is your blueprint.
Jonathan, thanks a lot for joining!
TIMELINE :
00:00:00 - 00:01:09 : The rise and fall of unicorns
00:01:09 - 00:03:42 : Backing founders who build long-term compounders
00:03:42 - 00:08:48 : Speed of iteration: The ultimate founder advantage
00:08:48 - 00:12:46 : Unicorn playbook:
00:12:46 - 00:20:35 : Deal flow secrets: Scoring, signals, and global sourcing with AI
00:20:35 - 00:26:34 : Headline’s global roadmap strategy and industry watchlist
00:26:34 - 00:34:08 : The true trillion-dollar AI opportunity
00:34:08 - 00:42:20 : Secondaries, incentives, and cash: De-risking without losing hunger
00:42:20 - 00:49:12 : VC exits, liquidation prefs, and cap table traps to avoid
00:49:12 - 00:55:40 : Valuation games in the AI world
REFERENCES :
- Harvey
- Legora
- Lovable
- Grok
- Swile



