Yiğit Ihlamur, co-founder and general partner at Vela Partners, shares his unique venture capital approach, which combines data analysis with personal connections to identify exceptional founders. At Vela Partners, an algorithmic scan of companies helps narrow down investment choices, but final decisions hinge on assessing founder resilience and motivation during meetings. Yiğit explains that, typically, he has already decided to invest by the time he meets a founder; the meeting confirms his conviction. He also discusses AI’s role in shaping the future of productivity tools and offers valuable advice to founders on preparation and authenticity when seeking investment.
Yiğit Ihlamur, co-founder and general partner at Vela Partners, shares his unique venture capital approach, which combines data analysis with personal connections to identify exceptional founders. At Vela Partners, an algorithmic scan of companies helps narrow down investment choices, but final decisions hinge on assessing founder resilience and motivation during meetings. Yiğit explains that, typically, he has already decided to invest by the time he meets a founder; the meeting confirms his conviction. He also discusses AI’s role in shaping the future of productivity tools and offers valuable advice to founders on preparation and authenticity when seeking investment.
In this episode, you’ll learn:
[02:06] Yiğit's journey from Google to venture capital, and his unique approach to combining engineering and venture investing.
[06:27] How Vela Partners integrates artificial intelligence and quant-driven algorithms to identify high-potential startups
[10:21] The significance of a balanced quantitative and qualitative assessment in VC investing
[12:41] How AI is enabling the next generation of productivity tools
[19:08] Articulate your personal story, intrinsic motivation, and ability to articulate your commitment to solving a particular problem.
[24:07] What should startups do to attract algorithm-driven funds like Vela Partners?
[27:02] Slow decision-making pace in VC is a problem
The nonprofit organizations Yiğit is passionate about: American College Institute (ACI) in Turkey
About Yiğit Ihlamur
Yiğit Ihlamur is a co-founder, general partner, and Chief Technology Officer at Vela Partners, a venture capital firm specializing in AI and product-led solutions. Prior to Vela, Yiğit had an impactful career at Google, where he led initiatives for Gmail, Chrome, and Google Workspace, focusing on product-led growth strategies such as self-service signups, activation, and pricing flows. Starting in Google's European headquarters, he initially worked on technical support for IT admins and created productivity tools for internal teams. Yiğit is passionate about advancing human productivity through technology. Outside his professional pursuits, he enjoys kitesurfing, skiing, running, and spending time with his family.
About Vela Partners
Vela Partners is a Silicon Valley-based venture capital firm specializing in product-led, AI-native startups from inception to Series A. Acting as an "AI startup investing in other AI startups," Vela leverages its proprietary AI to guide investment decisions and enhance its own returns. The firm’s investor-focused tools drive its fund’s performance, while self-service tools for entrepreneurs expand Vela’s brand and distribution channels. Its portfolio includes innovative companies like Vieu, Cartken, Goooods, Nominal, LeakSignal, Base Operations, Cerby, Lightup, Vartana, and Axiom Cloud, among others.
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At a fundamental level, the models say to us mastery and perseverance are really important. Those are like the two fundamental characteristics. Of course, this is like a very fundamental root cause analysis. There are a bunch of like surface level features that if I tell you you'll be like, "yeah, that makes sense." Once you go into why those features make sense, everything really boils down to mastery and perseverance.
[00:00:36] Gopi Rangan: You are listening to The Sure Shot Entrepreneur - a podcast for founders with ambitious ideas. Venture capital investors and other early believers tell you relatable, insightful, and authentic stories to help you realize your vision. Welcome to The Sure Shot Entrepreneur. I'm your host, Gopi Rangan. My guest today is Yiğit Ihlamur. He is the cofounder and general partner at Vela Partners.
Vela is a very interesting venture capital firm based out of Silicon Valley. They invest in AI native and product led solutions. What are these kind of startups that they invest in? What kind of analysis do they do behind the quant fund that they run? And what type of founders do they like to work with?
We're going to talk to Yiğit about a lot of these topics and ask him questions about how he makes decisions and why does he say no when he says no. Yiğit, welcome to The Sure Shot Entrepreneur.
[00:01:42] Yiğit Ihlamur: Thank you, Gopi. Thank you for having me here. I'm really excited to talk about those topics.
[00:01:47] Gopi Rangan: Tell us about yourself, starting with you.
You grew up in Turkey, in Izmir, and then you went to college in the UK. Then you worked at Google in Silicon Valley, and then eventually you decided to become an investor. Let's start the journey from Turkey. Where did you grow up, and how did you get excited about technology?
[00:02:06] Yiğit Ihlamur: So I was born in a household of a technology entrepreneur and a mathematician mom. So that kind of like define, you know, who I was like. Since I was a kid, I was like really interested in math. I was really interested in technology, entrepreneurship, engineering, computers. My father was like a really early on technology entrepreneur.
So I saw like the impact of technology in an emerging country like Turkey. And that defined like who I was. I was really a geek, playing with computers and, you know, hacking stuff. I was a hacker a little bit for a while when I was a kid, I loved doing that. And then afterwards, like, of course, like the Izmir, like, uh, that's kind of West of Turkey and next to the sea.
So I enjoy the sea and good weather. So those are the things that like define me. I love, computers and swimming every day. And the journey to be an investor was like something that I definitely did not think about or did not plan.
I did not even know what VC was, to be honest. I started working at Google. Before that my education was in industrial engineering, math optimization, specifically like optimization, operations research. And then afterwards, like University of Oxford, specifically machine learning and AI, master's in computer science.
My curiosity draw me towards like more math and optimization relevant things. And then joined Google. I started in Google Ireland, and then afterwards, like, uh, within a year or two, like I was like, Hey, I love Ireland. I love the people. But I'm a sunny guy. Like, I love sunny places. So, so Mountain View was the place that actually attracted me.
So I moved to the Bay Area. And then within Google, like, you know, I love the company. I love the people I've met, uh, my lifelong friends at Google, but like after five and a half or six years, like I got my green card, that was my thinking, like, you know, it's an incredible place I'm learning a lot.
I'm growing. But like, you know, I really wanted to start something new, something from scratch. As an immigrant, you know, it Gopi, like, you know, it takes some time. Got my green card after a while. And then afterwards, like by the time that like, I got it, Google acquired DeepMind, which was actually from Oxford.
So I was like "Wow! This is really interesting. Like these guys started like one year after me, like when I was there and you know, I saw the technology, it was playing like a ping pong game or something, reinforcement learning." I was blown away. I was like, this is incredible. Like the world is going to change.
And then afterwards, once I noticed that I wanted to quit and start something new. Starting a VC firm was not in my ideal list of things to do. So exploring various different things and then meeting with different VCs and angels. Probably entrepreneurs are also going through that route, you know, meeting and like trying to understand that.
I was like, wow, like I'm meeting with these VCs and angels. They are like really cool people. I love them. But like they are just relying on their intuition and networks. But I was like, "Hey, maybe there's something here to use data science and machine learning. What if we create like a next generation, investment firm.
So what if like we create the AI startup investing in other AI startup? So that, so it was completely like a startup thinking and with complete naivety, Gopi. I thought that like, you know, with my co founder Fuat, like we thought that like, "Hey, you know, if you build something new here, that could be like a winner strategy."
So that was like how I got into investing with no specific intention of wanting to be an investor, basically. We just wanted to build stuff.
[00:05:52] Gopi Rangan: So you are an AI startup that invests in other AI startups. That's the best way to describe your venture capital firm. There are a lot of things in your story I can relate to.
I grew up by the beach as well, in India, in Chennai. And I grew up in an academic household. And math was, I would say, my first love. I really enjoyed math. And I still do love solving problems in math. And over the years, technology has kind of become a big part of my life. Why is venture capital interesting to you?
[00:06:20] Yiğit Ihlamur: Yeah, so the reason why it was interesting to me is like I looked into many different problem spaces and I, you know, after quitting Google, I really wanted to create impact; something that I'm really proud of working on and creates like real value to humanity. And then discovery of venture capital was like among different ideas. I could have worked on a different idea, but I decided to pick this idea because I love the idea of accelerating innovation. Delivering capital and resources to the right people and right projects is probably the best thing that I can do with my time. So I thought that like, wow, like this really interesting, like people are actually allocating capital and resources and time to the right people and right projects that can change the world.
But this optimization problem, that's like a shortest path math problem. So what if like we create like the best optimization algorithm in the world? We make ourselves obsolete from this, from that angle. And we enable like the capital allocators and people want to give those resources. And connect them to those people that actually seek that.
So that was like the reason why we decided to, you know, pursue this idea.
[00:07:32] Gopi Rangan: Now venture capital is a great way to do that. A lot of startups fail, but when some startups succeed, they really transform the way we live. And it grows very rapidly and scales to the various parts of the world much faster than most other businesses.
It's a great way to have that impact that we all desire. I'm curious to learn more about Vela. You are a quant fund investing in AI startups. Tell me a little more about that. What kind of process do you follow and how is this firm different from other VC firms?
[00:08:06] Yiğit Ihlamur: Mainly Math. If the listeners are familiar with Renaissance Technologies, which is a public, quant fund that actually look into the numbers and decide on making an investment based on the highest probabilistic outcome.
That's exactly what we do for the private markets, focused on early stage startups, even a sub segment of early stage startups, which is AI startups. We started with the AI startups back in 2017 because we thought that it was going to be big and we were actually kind of frustrated that we were too late, but still, I think we are still early.
So we started with AI startups because we know the AI technology really well. We thought that we could assess really well. We could assess the outputs of the technology really well as well. So we focused on developer tools, infrastructure, software, AI-powered B2B, you know, deep tech, robotics, but always like AI powered.
So that's been the beachhead for us. And regarding how things work, the process and stuff, there's a research process of deciding on what sort of personas or segments have the highest probability of success. And then afterwards, using those different segments, explainable segments, to source and find companies or people that fit into those, you know, high probability segments.
And then afterwards, of course, a human needs to come into the play. That's the human in the loop. That, you know, it's me and my partner, Fuat. And then afterwards, like we engage with the entrepreneurs with the short list, it's like a hit list of like segments that we want to go after.
And then we build the relationship and we make an investment into those companies, that are like high probability return. Regarding like the differentiation and stuff, I've noticed over the years, like it's about conviction and speed. Many VCs and investors get stuck on various different variables.
It's a very large variable problem of investing in startups. Everyone cooks it in a different way. Some people like to do Michelin star, you know, restaurants, some people want to do delivery and some people want to create the next McDonald's and stuff, right? Like it's, it is very similar to the food industry.
So we have noticed that like the speed and conviction is really important. And I think when you have that, like probabilistic math driven thinking, then you form a portfolio in a really high conviction way. And when you meet with entrepreneurs, you are kind of like validating some of your assumptions rather than questioning.
So when we reach out, when we seek for introductions to the right people, it's super fast, right? Like everything is super fast. But then afterwards, why do entrepreneurs want to partner with us is another question. You can find them, but then how do you get access to them? I think the most fundamental thing that VC can do, in my opinion, is not to interfere with their business first of all. You don't want too many cooks in the kitchen. So that's number one. The other thing that you can do is like introduce as many customers as you can to help the entrepreneur to find product market fit. And that is the best thing that you can do as a VC; introduce as many customers as possible.
Third, once the company is breaking out, introducing VCs. I think it's great, but entrepreneur can figure that out anyways when the business actually breaks out. So I think the most important thing is how to enable the entrepreneur to get to product market fit as fast as possible. We are in the business of education of entrepreneurs, how to find product market fit.
We pick the entrepreneurs that can figure it out. And we introduce customers basically. So entrepreneurs pick us because of the customer network most of the time, and the expert perspective and the conviction that we have.
[00:11:51] Gopi Rangan: The tools that you have developed mainly helps you in the first step, which is identifying these companies, identifying the founders, perhaps even before they start companies, sourcing opportunities, reaching out and being aware of what's happening in the world, in the startup ecosystem.
That makes you an informed investor, and then the human comes into the loop to talk to the founders to decide whether this would be a good fit for your firm. Then, of course, you can, you know, add value to these founders by not messing too much with their business, but occasionally helping them in strategic ways that would be exceptionally valuable to them.
I get that part. Can you give an example of a startup that you invested in? What's the process you followed? I'm very curious about the first step because that seems to be very different compared to many other VC firms.
[00:12:41] Yiğit Ihlamur: So let's take one of our latest investments, thunk.Ai. It's a AI agent based project management tool.
And how we identified is that like we identify certain segments of entrepreneurs that we think would be successful based on the models that we have. And then afterwards, we said, like, "okay, this segment of an entrepreneur have like a 10 X more likelihood to succeed. Just to give you an example, if you were to invest randomly in the US to any $2, 000, 000 raised company, your probability of success varies between two to 3%. So you need to make probably like 30 to 40 investments to have like a one outlier, great basically outcome for your fund. But if you identify like certain segments of this population, then you can decide on which entrepreneurs or segments that you want to spend time on.
And like this segment that we have determined is like 10x more likelihood to succeed. So if you think about it, you know, it could be 18 to 20 percent likelihood to succeed. So that's like a really significant jump, as you can imagine. So once we determine that, you know, segment, then we build specific sourcing algorithms. We go and collect specific data sources just for that. And then afterwards, once we gather these data sources, we continue to look into the changes within that data. What's happening? Who is starting which segment? Which entrepreneurs fit into that? So thunk.ai just fit into that profile.
Once it fits into that, the speed is really important. Then the entrepreneur was just like, you know, really early in the process, haven't even raised money. We reached out and we sent an email. Before we do that, of course, we studied the entrepreneur and the company so much.
[00:14:33] Gopi Rangan: Like what kind of characteristics, qualified the founder to pop out on your radar?
[00:14:38] Yiğit Ihlamur: At a fundamental level, the models say to us, mastery and perseverance are really important. Those are like the two fundamental characteristics. Of course, they're like, this is like a very fundamental root cause analysis. You know, there are a bunch of like surface level features. If I tell you you'll be like, yeah, that makes sense. That makes sense. But like, once you go in, like why those features make sense, everything really boils down to mastery and perseverance. And how do you find mastery and perseverance? Like you can think about it in a way that like, if a person actually has become a master in something, it could be like in their childhood, they could be like one of the team members of a winning team, right?
Like it could be like, they could be in the basketball team. Or it could be like a PhD that they have gotten and they got some awards from that, but maybe they never started a business before. Or it could be an entrepreneur who started the business and persevered and had like a really meaningful outcome.
So when you combine all these things, then you can have the mindset of like mastery and perseverance at a fundamental level. But in this one, like it was more about like the PhD sort of like a background and also like starting a business before. When you combine all those, this is kind of like an incredible thing.
So, that's how we found thunk.ai. And the beautiful thing is that the team harmony is very important too. So it's not only the founder, but like, how do founders work together? How do they know each other, the founder synergy, and then the founder idea fit. Like how does like the idea that the founder work on currently is connected to the previous things that they did.
So all these like kind of have like scoring mechanisms that actually increase the likelihood of success. Thunk fit everything basically. So, you know, a great team that worked together before and building it again; built the company in the same space, similar space. They are doing it again. It's a great market that is going to grow. Like a bunch of things together combined enabled us to find thunk.ai.
[00:16:46] Gopi Rangan: What does the company do?
[00:16:48] Yiğit Ihlamur: It's large language model based project management tool. So think about like a next generation Asana or next generation Smartsheet and that instead of having you instrument the tool, you talk with the AI agents to figure out doing the projects for you.
Like there are certain tasks that humans will do. There are certain tasks that like AI agents can do. So you kind of like work with these AI agents to help you do the task, talk with them, assign stuff, get things done sort of a thing. So I'm really excited about that.
Every
[00:17:21] Gopi Rangan: 10 to 15 years, there's a wave of new productivity tools that come into the market.
We started with spreadsheets and documents, and then we turned into more HTML based resources, and now cloud resources, everything moved from on-premise, on the laptop, to into the cloud, like Google Docs and spreadsheets. And then more recently in the past 10, 15 years, we saw Notion and Asana, Trello, Airtable, those kind of tools.
I can see the new wave of productivity tools coming up with AI capabilities and I can see why you are excited about this sector.
[00:18:01] Yiğit Ihlamur: I'm very excited about it. And I worked in that area before in Google workspace, like in Gmail, Google Sheets and stuff. So very excited about it.
[00:18:10] Gopi Rangan: How many companies do you invest in roughly in a year?
[00:18:13] Yiğit Ihlamur: Yeah. We invest in eight companies a year.
[00:18:16] Gopi Rangan: And what stage?
[00:18:18] Yiğit Ihlamur: Inception to series A, as long as we see a hundred X return potential for the capital that we invest. It could be Series B too. It's just we cannot have access to those because of like the check size and stuff, the fund size, but it's mainly Inception to Series A.
[00:18:32] Gopi Rangan: So you invest in eight companies, Inception to Series A, sometimes in the early stages. What geographies do you invest in? What's your sweet spot?
[00:18:41] Yiğit Ihlamur: Primarily the Bay Area, but we are not, like, constrained, like, U. S., outside of the U. S. as well. But, like, 90 percent is in the U. S., maybe within those, like, larger majorities in the Bay Area.
But if an amazing talent comes from like, you know, Korea or Ghana or, you know, Costa Rica, we are really open for that too. We have investments in Korea, Japan, Germany, uh, all these sorts of locations as well.
[00:19:08] Gopi Rangan: How long does it take for you to make those investment decisions from the time you start tracking the company when you meet the founder and you bring your partner into the conversation?
How does the process work?
[00:19:21] Yiğit Ihlamur: I kind of already made my decision before meeting a founder. Before I take the first meeting, I'm kind of like I almost want to invest. I don't go into that meeting with skepticism. I'm going into that meeting looking for things to validate or invalidate my conviction, basically.
So the process is the following way. First of all, like we go through a large list of companies. Like we don't do first meetings that often. If you look into my calendar, I don't have like back to back entrepreneur meetings. I don't do that. Like I don't do many meetings.
So when I go into a meeting, I really want to dig deeper. If necessary, I can meet tomorrow, same day, two days later, I can move really fast basically because of that.
[00:20:06] Gopi Rangan: That's very unusual. Most VCs meet a lot of founders.
[00:20:11] Yiğit Ihlamur: Instead of meeting a lot of funds, I write a lot of code. You know, we have a 10 people full time engineering team. So I spend a lot of time with the engineering team to nail those sorts of things like conviction details. So I take the first meeting, my partner Fuat takes a second meeting. After that the decision is made, like, it's kind of like due diligence items.
We are like, "we are soft commit, we are getting into details, we want to talk this and that, you want to look into the documents" and then we move. First meeting I do I don't talk about the business at all. I just talk about: who are you, why do you do what you do?
[00:20:45] Gopi Rangan: How many startups do you meet to make those eight investments? Very few.
[00:20:50] Yiğit Ihlamur: Yeah. Very few.
[00:20:50] Gopi Rangan: Not 800 startups.
[00:20:53] Yiğit Ihlamur: But like the algorithm filters out like million or something a year. And then afterwards, like probably like 30 a week, we analyze maybe 40.
Then among those, maybe like, you know, one to two are like, kind of like serious that we would want to go after basically.
[00:21:13] Gopi Rangan: What's your most common reason to say no? After having done all the analysis and you meet the founder for the first time, you already like a lot of things about the company, and you're just looking to validate a couple of assumptions and get to know the founder at a personal level. And after that, you might say no sometimes. What's the most common reason?
[00:21:34] Yiğit Ihlamur: If why they do what they do doesn't add up in my mind, we don't make the investment. Like it needs to make sense. The motivational reasons is number one reason why we, why we pass.
[00:21:48] Gopi Rangan: What questions do you ask to assess that?
[00:21:51] Yiğit Ihlamur: Yeah, I go back to the childhood. I want to understand basically how they came to the place where they are currently, what sort of a environment they were born in, and who are like the role models for them, why they wanted to become the best in their area. If they are not the best, or one of the best, like they should be world class. You know, startup game, you need to be the best basically.
So you need to show proof of doing that before. So I want to understand like for founders that we are meeting, they already showed that. So when I understand like why they were driven to do that in the first place. What they learn during that process of mastery and whether that fundamental learnings they grasped it at a fundamental level that they can actually transfer it to startup building.
So that's like number one, like some people really grasp it. And it's so clear, like at a very young age, 21, 22, 23, or like 35, 40, whatever. Some people really grasp it early on and they can clearly articulate. But some people can't articulate that. So it's number one reason why I don't feel motivated to continue.
Second, like is the question of like, why they pick this problem? Because like, if they are like that good, like they have many opportunities ahead. They could hold an incredibly comfortable position in a company where they can make a lot of money. Like, why are they doing this if they are the top talent? So I want to understand that. If the reason doesn't make sense, then it's not a good idea because they may give up. Like it's just like a random thing that they wanted to work on. So some narrative needs to add up like, you know, you can clearly see that when you talk to them.
And it's difficult to analyze these things algorithmically. That's why we go into these details in person.
[00:23:47] Gopi Rangan: The motivation matters a lot to you. And the questions that you ask are more qualitative, more subjective than asking a math problem to be solved.
I see that there's two sides to how you make decisions. The very heavy quant side and also the human side. What is your advice to founders before they come to meet you? Or what's your advice to founders even for them to pop up on your radar for you to say, "well, this is a company I want to track closely."
[00:24:16] Yiğit Ihlamur: My opinion is like if they just focus on executing, people like us will find them. Like there'll be more and more of Vela partners in the next five to 10, 20 years, that will be algorithmic and quantum driven. If you do whatever you do really well, these funds like us, including us, we'll find you. That's what we do. That's our job. Like you don't have to find us. We will find you sort of a thing. Number two is like really working on something that you're passionate about because then it doesn't feel like it's work.
Like you really enjoy it. Like this, how I feel about Vela.It's so much fun. Every day, every night, you know, every weekend I can work on it. So it's your passion is like, becomes, you know, very much like, you know, goes into the other person and get super excited. Regarding meetings with VCs in general, it's so interesting to me that many entrepreneurs, including any human being, like don't study the other person that well before coming to the meeting.
Like, it's kind of a very straightforward thing to study the other person. It's kind of like sales 101; do the prospect research and understand what they did before and say a few personable things at the beginning. So most entrepreneurs, interestingly, don't do that maybe because of uh, some reason very busy, but like then not use the using the time wisely or something. So it raises a lot of questions. So I find it very interesting there's a small percentage of entrepreneurs that I meet that know how to pronounce my name. which is like, you know, 'it' but like, it's very rare for people to know that either they know that they have a Turkish friend or like they did Google search how to pronounce Yigit or something.
So I find that very interesting. There's like a very small percentage of people who do that. And then it's like a high preparedness sort of like a signal to me.
[00:26:09] Gopi Rangan: There are many interesting things here in the comments you've made. If you do good work, it's the job of the VC to find you and you will find them.
Today, you are an exception in the venture capital world where you go and find these founders, but that might become the norm in the future. And there will be many more venture funds like yours that use technology and artificial intelligence to track and identify founders. And once that is in place, once you've identified the founder, that empathy for who you are, preparedness, doing research on who you are, even learning how to pronounce your name goes a long way in showing that the founders care.
That prospect research like in sales indicates that they are more than just coders or technologists or businessmen or businesswomen. There is a human side to them and you want to relate to that.
[00:27:02] Yiğit Ihlamur: It's a sales signal for sure.
[00:27:04] Gopi Rangan: You are a new VC firm and you're building it also very differently.
What is one thing you would like to change about the venture capital ecosystem to make this industry better?
[00:27:15] Yiğit Ihlamur: Decision making I think is super slow, like really slow. I think it should be faster. That's why we started Vela Partners. But as an industry, in some instances, you don't need technology to make fast decisions.
If you just improve the processes and philosophies and principles behind how you make investments, then you can move really fast.
Say no rapidly. It's okay, no one's heart will be broken. So, I think that's the main thing. If more people make quicker decisions things will move faster.
Yes or no is better than no answer. And that's why entrepreneurs get frustrated as well, no response or like, you know, slow response or things like that. It's very easy to make quick decisions, basically, most of the time. So I think industry should improve itself. Maybe it's tooling, maybe it's culture, maybe something, but like something along those lines.
I
[00:28:08] Gopi Rangan: think having that prepared mind makes decisions faster. When investors don't have the prepared mind, they need to spend more time to educate themselves, get up to speed, form conviction, learn about the ecosystem, talk to other experts in the industry, compare notes with themselves. They sometimes even have to wait a few days for that excitement to be validated, to make sure that they are on the right track.
All of those things take time, but when an investor arrives with a prepared mind like you do, it is a lot easier and much faster to make decisions, and that's also very favorable to founders. Thanks for highlighting that.
We're coming towards the end of our conversation, and I want to ask you about your community involvement.
Is there a non profit organization you are passionate about? Which one?
[00:28:53] Yiğit Ihlamur: Yeah. you know, I support my alumni community in Turkey. It's ACI, American College Institute. One of the things that we do as alumni group, we give scholarship to a kid in that school and be educated.
[00:29:09] Gopi Rangan: Yiğit, thank you very much for spending time with me today. Thank you for sharing your unconventional perspectives on venture capital and how you follow your own path of building a new venture capital firm.
Your advice to founders and your approach to how the startup's ecosystem will evolve and how you're preparing for that future is very refreshing to hear. Thanks for sharing your experiences. Thanks for sharing your personal anecdotes based on your investments. I look forward to sharing your nuggets of wisdom with the world.
[00:29:39] Yiğit Ihlamur: Thank you, Gopi. Thank you for creating value to the community. This is really helpful. Appreciate the time.
[00:29:47] Gopi Rangan: Thank you for listening to The Sure Shot Entrepreneur. I hope you enjoyed listening to real-life stories about early believers supporting ambitious entrepreneurs. Please subscribe to the podcast and post a review.
Your comments will help other entrepreneurs find this podcast. I look forward to catching you at the next episode.