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Viktoriya, Founding Partner of TA Ventures, on Eastern Europe to Southeast Asia in Venture Capital

Venture Passport · 2025-03-25 · 1h 4m

0:00--:--

Key moments - from our scoring

Substance score

47 / 100

Five dimensions, 20 points each

Insight Density10 / 20
Originality8 / 20
Guest Caliber12 / 20
Specificity & Evidence11 / 20
Conversational Craft6 / 20

Viktoriya's path to venture capital began unconventionally - first through offline business experience in Ukraine, then venture building in the mid-2000s when few existed in Eastern Europe. Frustrated by local ecosystem opacity and the difficulty fundraising from Ukrainian investors, she launched a major tech conference in Kyiv (2010-2015) that connected Eastern European founders with global capital. This experience revealed a critical insight: Eastern European startups succeed through tech depth and global thinking from day one. Companies like Wise, Skype, Bolt, and GitLab created an ecosystem of operators and angel investors that bred subsequent generations. However, the region lacked growth-stage capital - a gap TA Ventures addresses. Her investment thesis centers on founder quality over everything: she bets on people with demonstrated entrepreneurial instincts from childhood, complementary founding teams with deep domain expertise, and founders she's met in person. The firm's success across 15 unicorns stems from this obsessive founder focus and the analytical rigor learned surviving the tough Eastern European business environment.

Key takeaways

  • →Founder quality - not the idea or market - is the primary predictor of success; Viktoriya's biggest losses came from investments made without meeting founders in person.
  • →Eastern European startups succeed globally by being tech-intensive, talent-driven, and thinking globally from inception, not by optimizing for local markets.
  • →Early entrepreneurial signals like childhood business ventures, demonstrated adaptability, and domain expertise matter more than having a previously successful exit.
  • →The bootstrapping mentality of Eastern European entrepreneurs creates a DNA resistant to failure but also risk-averse to capital deployment, requiring investor education.
  • →TA Ventures deliberately focuses on early-stage where founder selection dominates, avoiding incubation models in favor of backing founders with existing deep expertise in specific sectors.

Guests

Viktoriya (Founding Partner, TA Ventures)

Topics in this episode

GitLabBoltWiseSkypeTA VenturesEastern Europe venture ecosystemfounder diligenceventure builder modeltech-driven startupsgrowth-stage capital

Questions this episode answers

What inspired Viktoriya to move from venture building to founding TA Ventures?

After building companies in the challenging Ukrainian ecosystem (2008-2009), she launched a major tech conference in Kyiv to connect Eastern European founders with global investors, which proved so successful that a prominent European investor suggested she start investing directly rather than just organizing events.

Why did TA Ventures focus on Eastern Europe initially instead of other regions?

Viktoriya was based in Ukraine and understood the region's ecosystem deeply; her venture builder experience and conference platform gave her sourcing advantage and founder relationships in Eastern Europe, where tech talent was abundant but access to growth capital was scarce.

What are the key founder traits Viktoriya looks for when investing?

She seeks founders with demonstrated early entrepreneurial activity (trading goods as children, building things in school), adaptability across geographies, complementary founding team skills, deep domain expertise in their sector, and the ability to articulate a defensible monopoly or unique insight.

Why is founder diligence and in-person meetings critical to TA Ventures' investment process?

Viktoriya lost all companies where she invested without meeting founders in person; reading people, understanding founder dynamics, and sensing deal quality through intuition built from years in tough business environments is central to the firm's edge.

What are the main challenges holding back Eastern European startups from global success?

Beyond abundant tech talent, the region lacks growth-stage capital availability, and entrepreneurs have a bootstrap mentality that creates a fear of failure due to historically limited access to external financing, making them reluctant to deploy capital aggressively.

What our scoring noted

Our reviewer’s read on each dimension, with quotes from the episode.

Insight Density

10 / 20

There are a handful of genuinely useful operational data points - fund mechanics (hard cap $50M every 2 years, first liquidity at year 3, 80%+ deals from network, minimum 25% GP co-invest), and macro data on European VC decline - but the episode is heavily padded with vague founder-intuition talk, dating analogies, and platitudes that offer little actionable content to a B2B operator.

my biggest losses back then were betting on the companies where I did not meet the founders
I started to invest my own capital, avoiding this give me money, right, for ten years, actually, from 2011 till 2021

Originality

8 / 20

The parallel drawn between Eastern European bootstrapping culture and Southeast Asian offline-first markets is a mildly interesting structural analogy, and the 'dynamic partnership' model of rotating GPs across geographies quarterly is somewhat differentiated, but the episode is mostly recycled VC wisdom: bet on founders, meet them in person, diversify geographically.

It reminds me in a way our geography system in Europe. I mean, cash is still there, right?
the logo or slogan of the today, I mean, survival mode in the venture business, in the business per se, I mean, it's just to diversify and track and anticipate

Guest Caliber

12 / 20

Viktoriya is a genuine practitioner with a verifiable 14-year track record, named portfolio companies (DeepL, SumUp, Impress), and an operator background predating her VC role - this is not a thought-leader. However, the episode functions partly as an internal promotional conversation since the host Richard is also a TA Ventures partner, limiting the depth and independence of the interview.

148 investments, with 73 exits within 2011 to 2021
we created an ecosystem of 15 unicorns and 23 unicorns

Specificity & Evidence

11 / 20

The episode contains a useful scatter of real numbers - European VC falling from €100B+ in 2021 to €40B+ in 2024, US at ~$200B and growing, 60% US allocation, 3,000+ co-investors, 2,000 angels across 40 countries, internet penetration by country - but company-level investment theses are almost entirely absent, and key claims (e.g. '100x upside' companies) are unnamed and unverified.

the capital invested in Europe is decreasing since 2021. It was a big 100-plus billion invested. And 2024 is like 40-plus billion
with a lean team of 11 people, we are screening like 1,000 plus companies and invest in 20, 25, 30 per year

Conversational Craft

6 / 20

The host is a TA Ventures partner interviewing his own firm's founding partner, creating an obvious conflict of interest that produces a near-total absence of pushback or challenge. Questions are framed as compliments ('what's the key driving success?', 'what did you see that others missed?') and the host frequently volunteers positive answers before the guest responds, making this functionally a promotional piece rather than a probing interview.

I mean, we have 15 unicorns and six IPOs in our portfolio. Right? I think that places us amongst one of the, you know, in terms of track record, amongst one of the top firms. What do you see as the key factors behind the success?
What led you to invest in these companies? And what did you see that others have missed?

Conversation analysis

Computed from the transcript - who did the talking, and the words that came up most.

Most-used words

europe59venture48founders39capital33asia32ventures30southeast30interesting28businesses26plus25back22different22stage21tech20network20investors19

Episode notes

In this episode, Richard Armstrong chats with Viktoriya, Founding Partner of TA Ventures, about her venture capital journey and early challenges. They discuss the rise of Eastern European tech, bootstrapping culture, and conference networking. Viktoriya shares success stories and TA Ventures' investment philosophy. The conversation highlights TA Ventures' strategic shift from Europe to Southeast Asia, exploring the region's venture capital allure. They cover the firm's partnership model, sector expertise, and team efficiency. Viktoriya also talks about angel clubs, growth plans, and emerging Southeast Asian trends. The episode wraps with quickfire questions and a teaser for future episodes.

Full transcript

1h 4m

Transcribed and scored by The B2B Podcast Index.

1 - > Welcome today to Venture Passport. 2 - > Today is a special episode with Viktoriya, the founding partner of TA Ventures. 3 - > Super excited to have you on. 4 - > For those unfamiliar with TA Ventures, can you share the story behind its founding?

5 - > What inspired the vision, and how did it take shape? 6 - > Yeah. 7 - > Richard, thank you. 8 - > Great to do this episode live.

9 - > Thank you for doing what you're doing with the Venture Passport. 10 - > And happy to support Venture Passport from the side of TA Ventures. 11 - > Yeah, this story is actually interesting. 12 - > Myself, I'm originally from Ukraine and born and bred.

13 - > And I just got into the venture by coincidence of fate, I would say, being from the offline 14 - > business, which made myself strong in a way of addressing all the problems which I can see now 15 - > in venture in startups. 16 - > So offline business brings you that type of DNA. 17 - > I mean, you are ready for whatever, right? 18 - > So you are ready to make a turnaround.

19 - > You are ready to jump in and to become an operator. 20 - > And so that's what created the special kind of venture character from offline business, I 21 - > would say. 22 - > So in Ukraine, the ecosystem back then in 2010 was completely different from what we are 23 - > having now. 24 - > I started even earlier, as I said, with offline businesses.

25 - > But with online, it was a venture builder. 26 - > Surprisingly, back then, 2008, 2009. 27 - > There were a lot of venture builders. 28 - > None in Ukraine.

29 - > Yeah, so it was an interesting opportunity. 30 - > I met occasionally my partner, and we started to build companies. 31 - > He was on the tech side, like a pure geek. 32 - > Myself, I knew other verticals of building businesses.

33 - > So I said, okay, let's do it together. 34 - > Let's start. 35 - > And of course, we started with the most difficult verticals, like travel, like online 36 - > insurance, auto insurance, to be specific, building the companies for Italian markets, 37 - > then the marketplaces, with the huge investments, and building the product, 38 - > investing a lot of effort. 39 - > I mean, huge team up to hundreds of developers back then in February 2009 in our office.

40 - > So if I would bring myself back, I would do a lot of things differently completely. 41 - > But it was like a learning by doing, in a way, February 2009 in Ukraine. 42 - > And then we understood that it's kind of hard to talk to local ecosystem. 43 - > It's kind of hard to talk to investors because Ukrainian business is in a way similar to Asian 44 - > business and very much similar to Latin American business.

45 - > It's all about bootstrapping. 46 - > So it's all about 47 - > raising less capital 48 - > and focusing on this. 49 - > Just can get a capital, and then you should give the capital back with quite substantial 50 - > interest rates. 51 - > And it depends on shareholding.

52 - > Like, let's grow the company together. 53 - > So focusing on profitability from close to day one. 54 - > Basically, private equity approach to whatever. 55 - > Even worse.

56 - > Basically, you were responsible for every kopek, every dollar you injected in your 57 - > business. 58 - > So it's like a bootstrapping style of businesses everywhere. 59 - > And so that shaped the ecosystem back then, and that's how we started. 60 - > Nobody wanted to share figures, to share profitability, margin, investment, investors, 61 - > etc.

62 - > It was weird. 63 - > And having a chance to visit different conferences, including top-notch conferences in 64 - > the U.S., I understood that something is really, really bad and broken.

65 - > So what to do? 66 - > For us, there is no chance to share what we are building and raising money from locals. 67 - > Because even now, if you are from a certain geography, you're building something for a 68 - > certain geography. 69 - > In our case, it was Eastern Europe, Europe, and global.

70 - > Maybe we had to bring investors from the local ecosystem, which was a huge deal. 71 - > So the decision was very simple. 72 - > Okay, let's make a top-notch international conference and start building connections via 73 - > the global conference. 74 - > So the conference started in 2010 in October.

75 - > And we had five editions of the conference till 2015. 76 - > It was the biggest and most popular, I would say, conference in Eastern Europe, one of many 77 - > tech conferences, but it was one of the biggest. 78 - > And it was based in Kyiv. 79 - > Why?

80 - > Because they didn't have visas for Americans or Europeans, like Ukraine back then. 81 - > Comparing to Russia, they had visas and all this regime. 82 - > And clearly, people from our industry, from the tech industry, they were not ready to give up 83 - > their passports and 84 - > to 85 - > Stay Venture Passport, to go to the Venture Passport. 86 - > Not even for one week or two weeks or so.

87 - > So Ukraine was quite well positioned in the middle of Europe, being the place where 19 88 - > countries could meet, where U.S. 89 - > investors and European investors could come. 90 - > And they were considering to do as much as they could back then in order to tap the CIS markets 91 - > back then.

92 - > So we've seen all. 93 - > And from the first year, it was a great success. 94 - > A couple of hundred companies, startups on the startup LA, Ukrainian, Eastern European, also 95 - > from Eastern Europe, sorry, from Southeast Asia as well in the U.S.

96 - > I mean, a rare guest, clearly, because they were not fundraising. 97 - > We just invited them to show the different landscape of the venture and startups, etc. 98 - > So 3,000-plus participants, great. 99 - > So that's what the moment for me to convert into venture investor.

100 - > Interesting. 101 - > Building the companies. 102 - > Venture 103 - > builder to venture capital. 104 - > Venture builder to venture capital.

105 - > Actually, one friend of mine, one famous investor, Florian, a European investor, said, 106 - > Okay, why aren't you investing? 107 - > So you're the company, DeepL. 108 - > Yeah. 109 - > We'll get to DeepL, right?

110 - > Yeah. 111 - > No, I think it's an incredible story. 112 - > You had been sort of a venture builder, building multibillion-dollar companies as an 113 - > operator, and then now sort of converting into the venture landscape, right? 114 - > So I mean, we talk about growing up in Eastern Europe and then the region in tech in general 115 - > for the landscape.

116 - > Right? 117 - > It's sort of we have a lot of global successes, right, that have come out of Eastern Europe. 118 - > So for example, Wise, Skype, and Bolt. 119 - > What do you think was driving the transformation?

120 - > Right? 121 - > Or, for example, you know, companies being global dominant players, right, like these 122 - > companies. 123 - > It's interesting. 124 - > So basically, you named companies which created, in a way, kind of Eastern European, 125 - > like, Mafia.

126 - > Mhmm. 127 - > Yeah? 128 - > And all those companies, they created their whole ecosystem of C-level managers, founders, 129 - > angel investors. 130 - > I mean, there are many other companies.

131 - > Started in 132 - > the south of Europe. 133 - > Romania, companies from Bulgaria, from small geographies. 134 - > Like Bulgaria is 135 - > I mean, I just picked three. 136 - > I mean, there's probably like 10 or more.

137 - > True. 138 - > True. 139 - > And like GitLab, Ukrainian founders, and many others. 140 - > And it's actually the ecosystem of talents in Eastern Europe.

141 - > And if you analyze all those, the majority of them, the majority of them, super tech-driven, 142 - > tech and talent-intensive businesses. 143 - > When you say tech and driven, would you say 144 - > Exactly. 145 - > High engineering talent, like technology business with a global focus mostly. 146 - > That's what the way for 147 - > So always thinking about global from actually day one, right?

148 - > It just happened. 149 - > I mean, they built the global company. 150 - > Maybe they didn't clearly do it on purpose, but just amazing stars and star founders. 151 - > And that's what they were thinking about, like mostly software, deep technology.

152 - > So that's the way for Eastern European startups to succeed on a global scale. 153 - > I mean, we understand that Eastern Europe and Ukraine, I mean, we have rich in talents, rich 154 - > in tech talents. 155 - > Even in 156 - > Europe. 157 - > Hardworking as well, in Eastern Europe.

158 - > Hardworking, on the go, young generation, bootstrapped businesses. 159 - > It's influenced a lot, influenced mentality, on the good side and on the bad side. 160 - > On the bad side, there is no DNA in our entrepreneurs to fail from Eastern Europe 161 - > specifically because of the bootstrap, because the money is the key, because the money is hard 162 - > to get. 163 - > I mean, it's hard to get the external financing.

164 - > Banks completely forget about that, but from the investors, private investors. 165 - > I mean, it's a totally different paradigm how we think about money invested into the venture. 166 - > Makes sense. 167 - > Okay?

168 - > So that also influenced myself and TA Ventures in a way, because I wasn't even thinking to 169 - > raise capital. 170 - > I mean, being in different conferences, understanding, reading the books, all these 171 - > books were on already, like top books on how to like Silicon Valley, Brad Feld, and other, 172 - > yeah, 173 - > Venture Deals. 174 - > Venture Deals, like Bible. 175 - > But I didn't even think, being from Ukraine, mean, to raise.

176 - > So I started to invest my own capital, avoiding this give me money, right, for ten years, 177 - > actually, from 2011 till 2021. 178 - > So speaking about this, coming back to wrap up your point, so these interesting super 179 - > companies, like unicorns, they shaped the ecosystem of new angel investors. 180 - > They breed a lot of interesting new startups, like second, third generation 181 - > Big founder starting. 182 - > So you build that sort of flywheel with operators.

183 - > Like in Europe and US, the same approach. 184 - > So even per capita in Europe is 3.5 times more engineers per capita comparing to So there is a 185 - > potential. 186 - > There are other challenges.

187 - > We can talk about them later. 188 - > Yeah. 189 - > Yeah. 190 - > Like lack of capital, obviously, on the growth stage.

191 - > Yeah. 192 - > I for Ukraine. 193 - > The same for all Eastern European countries, Richard. 194 - > There is a big, huge issue, and it's still now.

195 - > I mean, we lack growth stage capital. 196 - > Yeah. 197 - > Even Southeast Asia, you could argue that we lack 198 - > By the way. 199 - > Southeast Asia.

200 - > We'll get to Southeast Yeah, brother 201 - > and sisters here. 202 - > Yeah, yeah, yeah. 203 - > We'll get to Southeast Asia. 204 - > But I mean, the topic I want to talk about is obviously TA Ventures' impressive track record, 205 - > right?

206 - > I mean, we have 15 unicorns and six IPOs in our portfolio. 207 - > Right? 208 - > I think that places us amongst one of the, you know, in terms of track record, amongst one of 209 - > the top firms. 210 - > What do you see as the key factors behind the success?

211 - > Right? 212 - > You know, because there are very few firms that can say that they've backed that many unicorns. 213 - > What do you think is the key driving success? 214 - > Yeah.

215 - > Clearly, we can be proud of the portfolio. 216 - > I mean, unicorns and unicorns, which grew up with the JV insurers starting from 2011. 217 - > It's a huge work behind that and a lot of mistakes. 218 - > So I would say if I'm 219 - > Yeah.

220 - > If you had to say two or three key success factors you saw out of all the portfolio, and 221 - > then what drove that success amongst the unicorns and the IPOs? 222 - > I would say, as I said, originally from the business, offline business. 223 - > So analytical skills, having several businesses, and surviving every day in the 224 - > Ukrainian ecosystem, in the Eastern European ecosystem. 225 - > It was not easy.

226 - > It was tough being a solo founder. 227 - > I mean, you learn this habit of sensing the good founders and the deals by intuition. 228 - > So that's shaped maybe the choices I've made with the first founder, with the first TA 229 - > Ventures one. 230 - > And I mean, just reading the people, reading the dynamics of the founders, it's all with the 231 - > founders.

232 - > It's always like a true bet on the founders. 233 - > And my biggest losses back then were betting on the companies where I did not meet the 234 - > founders. 235 - > Back then, I did not know. 236 - > I mean, that But 237 - > But you didn't meet the founders?

238 - > Yes. 239 - > In person? 240 - > I lost, yes. 241 - > I lost all the companies.

242 - > It says, you know, sometimes you have to get on that plane. 243 - > Right? 244 - > You should. 245 - > Yeah.

246 - > Yeah. 247 - > And we discuss it. 248 - > You tell me all the time now. 249 - > You have to get on the plane to meet the founders.

250 - > This is exactly. 251 - > And looking back, I mean, when you meet the founder and you understand that you are 252 - > trapped, so you would not invest, but you're already there. 253 - > And they have a lot of interesting stories. 254 - > And one day, hopefully, we'll make a book on TA Ventures' journey.

255 - > It might be very interesting. 256 - > So learnings, I mean, always bet on top founders, making founders, diligence, 257 - > especially in our stage. 258 - > Do you care about founders that have previously, you know, started businesses 259 - > before? 260 - > Or, like, in terms of what about if you see a smart guy that's on as, like, you know, he has 261 - > a he's very passionate about building something and, you know, but he's you know, this is his 262 - > first, you know, rodeo.

263 - > Right? 264 - > But he just has extreme passion, extremely ambitious. 265 - > Would you take a chance on those sort of founders? 266 - > Yeah, Richard, we can kind of read the people of venture business, especially investing in 267 - > the early stage.

268 - > This is our stages of investment. 269 - > So what 270 - > would It's only about founders. 271 - > It's about a background check on who is that girl, who is that guy. 272 - > I mean Mhmm.

273 - > Did they build something when they were still at school? 274 - > Yeah. 275 - > I mean, did they 276 - > trade chewing gum? 277 - > That's that's always a good trait.

278 - > Right? 279 - > I always I always like to ask about entrepreneurial. 280 - > What their what their background is. 281 - > Did they move around a lot when they were young?

282 - > Because it shows that they can quickly adapt to different societies. 283 - > And then also, did they play video games? 284 - > That's another one. 285 - > And then as I say, were they super entrepreneurial?

286 - > Right? 287 - > For example, as I say, it could be selling chewing gum. 288 - > You know, in my case, I was, you know, selling FIFA coins. 289 - > Right?

290 - > In someone else's case, it was, I don't know, you know, selling chocolate at, you know, a 291 - > cheaper price and then selling it to your peers at, you know, 5x a markup. 292 - > Right? 293 - > So those key things is, you know, what what we look for. 294 - > So yeah.

295 - > That's actually working. 296 - > And this is one of the key differentiators. 297 - > So yes, say yes or no to the founder or founding team, complementary skill, and real 298 - > expertise. 299 - > I mean, I kind of don't like, in a way, incubation.

300 - > I would say, I would name it like incubation. 301 - > I like when the people like something already, and they have expertise in some sectors. 302 - > They have deep expertise, better, of course, have a monopoly of idea, which makes them 303 - > different. 304 - > They can build on this monopoly in a way.

305 - > That's what Peter T. 306 - > likes. 307 - > We do like. 308 - > too.

309 - > But expertise, and expertise which can be proven by consumers, those who are ready to 310 - > pay, are not ready to support you. 311 - > This is completely different. 312 - > Family and friends will always buy because they like you. 313 - > You're a friend.

314 - > But go sell for real. 315 - > mean, not buying. 316 - > buying. Go sell to the market.

317 - > Yes. 318 - > So this is a clear differentiator. 319 - > I mean, like the people who are, in a way, stubborn, but they can listen. 320 - > Okay.

321 - > This is an interesting. 322 - > Some people have their own character, but are willing to take constructive feedback. 323 - > Exactly. 324 - > Exactly.

325 - > And this is actually I mean, we stayed away from many deals because of this nonconstructive 326 - > stubbornness of the founders. 327 - > Yeah, then historicals of the founder, clearly, where she or he studied, who is co-founder, 328 - > whether it's a venture build idea, let's bring let's find somebody. 329 - > But by the way, now it's working. 330 - > In a way, it's working.

331 - > Yes, 332 - > Solo founders are like this is a new system of solo founders, in which I'm kind of supportive. 333 - > They can find, but it should be like very special founder, like driver, alpha founder. 334 - > You look for out of 1,000 people, who would you back? 335 - > Two or one?

336 - > Yes. 337 - > Basically not us finding or into this dating, founders dating, but the founder herself or 338 - > himself, I mean, they are doing this founders dating. 339 - > So that can be. 340 - > But all in all, those who failed and started a new venture, I love this opportunity.

341 - > So those who fail 342 - > Especially they learned. 343 - > I mean, just spoke to a company out of Vietnam that I found very interesting. 344 - > They raised, I think, over $50 million. 345 - > They were doing $50 million in revenue.

346 - > The team, as I said, can talk about this later, but in terms of their value, I don't know, a 347 - > couple hundred million dollars, you know, they didn't figure it out. 348 - > But, you know, they said, hey. 349 - > Let's roll up our sleeves and let's try again. 350 - > You know?

351 - > This is all the learnings we've had for the last few years. 352 - > Let's build again. 353 - > This is what we wanna do. 354 - > Right?

355 - > Because we have a mission, and we wanna solve that. 356 - > And I really like that as well because, you know, as I say, they learned all the mistakes, 357 - > and they're in the best position to build that right. 358 - > So Yeah. 359 - > Kendall, I mean, age matters also.

360 - > I remember myself back in my 20s. 361 - > I mean, no fear. 362 - > I mean, doing this offline business is crazy. 363 - > I mean, I don't understand even how did I survive back then doing these businesses.

364 - > So no fear at this age of 20. 365 - > Taking moonshots. 366 - > 25 to 35 plus. 367 - > I mean, I kind of agree with some sources that that's the best way to start your first 368 - > venture.

369 - > I mean, later on, second one, of course. 370 - > It can be whatever, right? 371 - > Post 35, that's okay. 372 - > But to start no fear, I mean, this is something I like.

373 - > And when there is no you don't look back, right? 374 - > So this is process. Makes sense. 375 - > Makes sense.

376 - > You mean, you know, TA Ventures has backed, you know, multibillion-dollar companies like DeepL, 377 - > SumUp, and Soon Impress, right, at the earliest stages. 378 - > What led you to invest in these companies? 379 - > And what did you see that others have missed? 380 - > Because, I mean, these companies probably pitched everyone in the Valley, probably 381 - > everyone in Europe, and everyone in, I guess, New York, L.

A., things like this, right? 382 - > What did they miss that you guys saw? 383 - > Again, amazing, like amazing driven founders, amazing team, amazing tech, super 384 - > tech-intensive business.

385 - > And Daniel, the founder of SumUp, he still holds - still the company is like multi, 386 - > multibillion-dollar, like eight plus. 387 - > Potentially, when it will reach IPO, it will be another dimension of ten, twenty. 388 - > Yeah, that's what we, fingers crossed, hope. 389 - > in the next couple.

IPO 390 - > couple. IPO markets. 391 - > Couple of years. 392 - > I mean, clearly, stunning.

393 - > Made his fortune with the previous Moneybookers. 394 - > Could chill, right? 395 - > Do nothing. 396 - > But I like people.

397 - > They have this builder's DNA, which is amazing. 398 - > I mean, I can see it clearly. 399 - > And I'm happy to be part of this journey of SumUp, the global leader originally from 400 - > Europe. 401 - > The same was DeepL, who started to use AI in translation.

402 - > Started. 403 - > '2 404 - > thousand and '8, and when they started. 405 - > But we supported in 2010. 406 - > And they were using AI.

407 - > I mean, AI wasn't even a then. It was 408 - > back then. It to 409 - > it like smart vocabulary back then, but then transformed slowly, surely into the amazing, 410 - > amazing top-notch translation business, then moved to from Linguee, original name, to DeepL 411 - > in 2017. 412 - > When you talk to these founders, I mean, and Daniel in SumUp, I mean, they speak on their, 413 - > like, ten speed.

414 - > Right? 415 - > So you immediately understand the brainpower. 416 - > of. 417 - > the and the quality of the messages and efficiency, etc.

418 - > That's the way you can screen. 419 - > I mean, it's like dating. 420 - > I mean, you can analyze the person whether you like him or not, like 10,000 parameters. 421 - > I mean, it's not yet discovered the nature of how we immediately understand yes or no, and 422 - > then we can dig in other parameters, okay?

423 - > Life or in household or in travel, whatever. 424 - > This is next stages. 425 - > But immediately, we understand yes or no. 426 - > So the same iterating with the founders.

427 - > I mean, you can really understand if you are live. 428 - > Another big lesson I've learned is that live meetings, as I said, I mean, and live meetings 429 - > not only with the founder, but desirable with the founding team. 430 - > It makes sense, I mean, to Yeah. 431 - > Because sometimes in the U.

S. 432 - > time. 433 - > Sometimes the Zoom doesn't really help, right? 434 - > I mean, still remember, like, deals in 2022.

435 - > How for 436 - > the reason we will have these devices, which can track whether they're lying or not, whether 437 - > our emotions are true, whether statistics we are channeling or Yeah. 438 - > Exactly. 439 - > Exactly. 440 - > I mean, get a founder to wear the device as part of the diligence if 441 - > you will agree to wear it, I will agree to wear it, why not, I don't mind.

442 - > Okay? 443 - > I don't mind. 444 - > But all these, like, mind-reading startups and tech Yeah. 445 - > In your 446 - > own mind-blowing.

447 - > This this There's company usually. 448 - > Yeah. 449 - > There's there's a few interesting companies building in the space that yeah. 450 - > I mean, exceptional.

451 - > So this is this is how you read the same with the Impress. 452 - > I mean, nobody wanted to invest 453 - > in Yeah. 454 - > I met Impress in Spain. 455 - > I was quite impressed in Barcelona.

456 - > I I was quite impressed with the way they are, the efficiency they would operate. 457 - > And obviously, now they're one of the biggest aligning companies in Europe. 458 - > And 459 - > Yeah. 460 - > And this is the family team there.

461 - > Yes. 462 - > It's husband and 463 - > wife. 464 - > I mean, there's no go for venture 465 - > capital. 466 - > Usually, that's a risk.

467 - > Yeah. 468 - > It's a no-go. 469 - > Sisters, brothers, it's no-go. 470 - > Oh, no.

471 - > But look at Anthropic. 472 - > Right? 473 - > Anthropic is a 474 - > Not only yes. 475 - > Anthropic and not 476 - > only but exceptional cases.

477 - > Right? 478 - > Yeah. 479 - > Yeah. 480 - > Yeah.

481 - > Been a couple of other companies 482 - > out there. 483 - > It's all about exceptional cases. 484 - > Right? 485 - > But, anyways, let's talk about the next topic.

486 - > I mean, for Fund 3, right, TA Ventures, you know, is reducing significantly its exposure in 487 - > Europe. 488 - > What do you think is driving the strategic shift? 489 - > It's actually interesting. 490 - > So when I started, I mean, clearly, the European network was closer than the U.

S. 491 - > network. 492 - > Yeah. 493 - > And I mean, our guests in IDC and the conference were top-notch from Alan Patrick 494 - > after all top, top, top VCs in Europe and U.

S. 495 - > But Europe was in our portfolio about 70% for the first couple of years, starting from 496 - > were heavy. 497 - > Thousand. 498 - > We were heavy in Europe.

499 - > But then it was a shift. 500 - > Then it was a shift from Europe to the U.S. 501 - > Actually, it was kind of by intuition when I started to spend more and more time in the 502 - > U.

S., understanding the macroeconomics, where U.S. 503 - > isn't a global venture, like 50 plus percent, now 40 plus percent, now 45 is China, and then 504 - > the rest is it's still small.

505 - > So 5% Europe. 506 - > So then you understand, okay, it's time to and then I got another point. 507 - > Then growth financing in Europe is lacking. 508 - > Like, the majority of the deal is early stage.

509 - > And then, I mean, a lot of startups are stuck. 510 - > So the beauty in the U.S., you can access constant access to the capital.

511 - > And if you will get enough capital, by the way, we can make a back tracing with AI or whatever 512 - > and analyze a lot of startups which failed. 513 - > I would say a lot of startups, like even maybe 50-plus percent, if they would have enough 514 - > capital, they would survive. 515 - > And maybe we'll see a lot of cool startups, like amazing businesses, which would go to IPO 516 - > or an M&A or whatsoever because of the lack of capital even in the U.S.

, specifically in 517 - > Europe. 518 - > So that's the big, I mean, a part of the founders quarreling, and we can let 50% or up 519 - > to companies basically collapse because of another huge collapse is lack of capital. 520 - > So Europe is suffering more compared to the U.S.

521 - > It's hard. 522 - > It's really hard. 523 - > So that's why we started slowly but surely decreasing our allocations in Europe. 524 - > Makes sense.

525 - > In spite of the fact. 526 - > A lot of the top funds have closed their offices in Europe now. 527 - > And as I said, but there's still a few that have. 528 - > But I think.

529 - > It's not only. 530 - > Exactly. 531 - > It's not only because of that, actually. 532 - > So Europe.

533 - > Europe's changing a lot. 534 - > Politically. 535 - > Politically. 536 - > I mean, we understand we are following the news, right?

537 - > UK, Germany, France. 538 - > I mean, we can see what is going on. 539 - > Spain. 540 - > I mean, there are some big fishes in intra-Europe.

541 - > And there are problems with the European Union and different parties of the European Union. 542 - > So we can see it's happening, right? 543 - > But still, I believe there are a lot of talents. 544 - > I see that the capital invested in Europe is decreasing since 2021.

545 - > It was a big 100-plus billion invested. 546 - > And 2024 is like 40-plus billion. 547 - > So we understand what's going on. 548 - > In the US, it's vice versa.

549 - > I mean, it's growing. 550 - > It's like about $200 billion last year, and it's growing. 551 - > So that is kind of a no-brainer. 552 - > Let's keep it clear.

553 - > So 60% in our portfolio is US. 554 - > I mean, it can be like 10% plus-minus euro. 555 - > Let's 556 - > Every day our Europe exposure is going down. 557 - > You 558 - > know?

559 - > Then think 560 - > it started like 15%, 20%, and then now it's like 5%, 10%. 561 - > Yeah. 562 - > And the rest, I mean, we would like to do as much as we can now in Southeast Asia as a 563 - > region. 564 - > Yeah.

565 - > As a region. 566 - > Yeah. 567 - > In Indonesia, Thailand, Singapore, Colombia, Malaysia, Philippines. 568 - > I mean, maybe less Vietnam now, but we are watching.

569 - > I mean, several times there. 570 - > Yeah. 571 - > We have very good 572 - > content there. 573 - > There's certain interesting things, you know, for example, like the opportunity with English 574 - > learning and things like this.

575 - > Right? 576 - > Because education is a big spending area in countries like Vietnam. 577 - > So yeah. 578 - > I mean, look.

579 - > There's many opportunities. 580 - > Right? 581 - > But in terms of you know, maybe we can talk about Southeast Asia. 582 - > Right?

583 - > We're increasing our focus on Southeast Asia more and doubling down on this region. 584 - > What makes Southeast Asia such a compelling market for 585 - > I mean, the answer is there. 586 - > I mean, the young 587 - > Young population. 588 - > Population and new generations.

589 - > The demographics. 590 - > Demographics is stunning. 591 - > It's 50-plus percent under 30. 592 - > It's like an amazing opportunity to build and to bring the new generation 593 - > of massive population sizes.

594 - > Massive population. 595 - > I mean, new habits, new DNA, like tech-savvy, tech geek, and living in applications and a 596 - > completely different setup. 597 - > The internet penetration is some of the highest as well in the world. 598 - > So I 599 - > think internet.

600 - > Yes. 601 - > I think Thailand's actually close to 100%. 602 - > Philippines is, like, 90%, and Indonesia is, like, 80%. 603 - > So they're all, like, relatively, really high.

604 - > And they're not humble venture investments. 605 - > I mean, a couple of billions in Thailand, but a lot of expectations and future plans and also 606 - > supported by the government. 607 - > I mean, by 2030, the idea of those countries is to have 30% of their GDP built by the new 608 - > economy, by tech economy, which gives us a lot of opportunities. 609 - > It's just at the beginning.

610 - > So we just write on time to the party, right? 611 - > And our investors, actually, LPs and our Eastern European angle of our friends and 612 - > network friends and founders and our angel investors within our ecosystem of iClub. 613 - > I mean, they are interested to diversify. 614 - > I mean, lessons learned.

615 - > I mean, we don't want to be concentrated. 616 - > We are not linked to any specific geography. 617 - > I mean, being from Eastern Europe, but building kind of helicopter view on U.S.

, Europe, MENA, 618 - > and Southeast Asia on the way, so that's a very special angle and opportunity we are opening 619 - > for our LPs and our angel investors to diversify. 620 - > Because the logo or slogan of the today, I mean, survival mode in the venture business, in 621 - > the business per se, I mean, it's just to diversify and track and anticipate, as we did, 622 - > new geographies to like in our case now is Southeast Asia. 623 - > A lot of talents, a lot of businesses to be disrupted, a lot of opportunities to start with 624 - > the digitalization of the offline businesses, small, midsized businesses, SMBs, fintech, 625 - > clearly, and a lot of other opportunities.

626 - > It reminds me in a way our geography system in Europe. 627 - > I mean, cash is still there, right? 628 - > And this is an opportunity, I mean, to get in this market area and to leverage Maybe 629 - > not necessarily super early, right? 630 - > But it's like we had that sort of wave in 2021 where there was a lot of capital flowing to the 631 - > market now, actually, because of, you know, the massive sort of overvalued companies and things 632 - > like this.

633 - > A lot of people like, capital started flowing out of the market. 634 - > Right? 635 - > So now as a, you know, investor doubling down the region, that's probably the best time to 636 - > invest. 637 - > So I totally agree there.

638 - > I mean, next question we want to talk about is, obviously, I guess with me now sort of leading 639 - > the Southeast Asia strategy, what changes or new opportunities do you see for TA Ventures in 640 - > the region? 641 - > Right? 642 - > I mean, how do you envision the firm's role growing here? 643 - > Do you want it to be sort of a household global seed name, one of the best pre-seed and seed 644 - > funds before globally, but now for Southeast Asia as well?

645 - > Or what do you see? 646 - > So our actual value proposition is very interesting. 647 - > So we are different from many other funds. 648 - > We are not a geography or vertical-specific fund.

649 - > We are early-stage funds. 650 - > So we have kind of a generic thesis. 651 - > But still, there is specifics of that. 652 - > I mean, we'd like to be tech and talent intense, so betting on the interesting tech and 653 - > talent businesses.

654 - > But we can have a different we are seeing a little bit different angle in Asia. 655 - > So basically here, there are lot of opportunities to tap into the kind of semi 656 - > private equity, semi venture capital market. 657 - > I mean, a lot of interesting offline businesses, can be enhanced with the digital 658 - > layer, enhanced with AI. 659 - > And we can do it really quickly.

660 - > It's like in Africa, right? 661 - > So mobile-only, like life, changed the ecosystem of Africa dramatically. 662 - > Dramatically, so all mobile-driven businesses. 663 - > In Southeast Asia, now it's a way just to be in the front because of these new opportunities 664 - > with AI, because of the new opportunities in digitalization.

665 - > Mhmm. 666 - > With offline businesses can be shaped really quick. 667 - > And we would like not to miss this opportunity, specifically in the Southeast Asia markets. 668 - > Yeah.

669 - > No. 670 - > It makes sense. 671 - > Makes sense. 672 - > I mean, you know, TA Ventures has been able to secure, you know, early access to some of the 673 - > most promising startups globally.

674 - > Right? 675 - > I think what is the because, I mean, you know, in venture, sourcing winning deals is a very, 676 - > very important element. 677 - > What do you think has been key to TA Ventures winning all these deals? 678 - > I mean, the first, TA Ventures won basically build the history, I mean, with 148 679 - > investments, with 73 exits within 2011 to 2021.

680 - > We've created an ecosystem of 15 unicorns and 23 unicorns. 681 - > So basically investing quite early in the majority of companies. 682 - > We did still do some B stage, A stage deals, some growth stage deal, but less than 15% 683 - > total. 684 - > So that created them, I would say, huge opportunity to build the new thinking of TA 685 - > Ventures for the next years.

686 - > So 2021, 2023, basically is the TA Ventures tool. 687 - > 2022, 2023 investment period, we build them like a new approach. 688 - > So the funds we raise every two years. 689 - > It's completely different from the standards in the venture capital, not ten years.

690 - > Yeah. 691 - > People don't like, like, long, long, long runs and never see much unless you 692 - > become, like, an asset manager. 693 - > At least, yes. 694 - > You're managing, like, tens of billions of dollars.

695 - > Yeah. 696 - > Tens of billions, like Sequoia, eight-plus billion dollars or whatever. 697 - > I mean, others. 698 - > Sequoia's managing 50 now.

699 - > Yeah. 700 - > Yeah. 701 - > But one fund. 702 - > I mean, fund, eight-plus, and clearly multiple funds.

703 - > So either across stages or, I mean, you are an expert, as you asked before. 704 - > I mean, we are an expert in early stage. 705 - > This is our expertise, our core expertise. 706 - > And we would like to remain with this expertise and bet on our founders' network.

707 - > So what happened after the TA Ventures won? 708 - > I mean, we built this founders' network, which brings other founders, like cool founders, 709 - > great founders, founders which are starting their ventures. 710 - > And we have, like, 10-plus cases over even a second and third-time founders within the 711 - > ecosystem of TA Ventures. 712 - > So the majority of the companies, like 80-plus percent of the companies we are investing 713 - > currently, these are the companies from the network.

714 - > I mean, from the network, from the founders, or angels from our closed ecosystem. 715 - > We love to deal and to mingle with the founders and angels. 716 - > I mean, and then now we could be good friends being from nowhere, from Europe, from other 717 - > geographies. 718 - > We are all like the team of basically, are and, according now, only American and Thai.

719 - > Thai British, yeah. 720 - > Thai British partners. 721 - > Yeah. 722 - > Otherwise, it's Ukrainian DNA, and we understand each other.

723 - > And we are like a helicopter. 724 - > Basically, the new terminology is integrated into Ventures. 725 - > It's a dynamic partnership. 726 - > So we are all moving around, like living a quarter or half a year in several locations, 727 - > covering really closely on the partners' level, U.

S., Europe, MENA, and Southeast Asia, and 728 - > having core venture partners in the geographies of our interest. 729 - > So with a lean team of 11 people, we are screening like 1,000 plus companies and invest 730 - > in 20, 25, 30 per year. 731 - > So basically up to $50 million every two years, 50 companies in two years.

732 - > And then choosing smartly, I mean, only like top performers. 733 - > Where we bet to make like 100x. 734 - > Okay? 735 - > Mhmm.

736 - > Two, three times per fund, up to 10% of the fund. 737 - > Mhmm. 738 - > And three, five bets could be a bit more with the 5% of the fund. 739 - > This is a strategy.

740 - > Mhmm. 741 - > And all in all, it gives us the opportunity to build the portfolio, which will bring us 3 to 742 - > 5x in five, seven years, much shorter periods compared to funds. 743 - > And we start exiting from year three. 744 - > I mean, this is the average exit period of the 73 exits.

745 - > We reached with the first TA Ventures. 746 - > Three plus years, three to four years, let's say, to be on the safe side. 747 - > I mean, that's when our first liquidity event happens. 748 - > Yeah, so this is the strategy.

749 - > That's what investors are looking for. 750 - > They would like to be closer to the sexy business of venture capital. 751 - > Because for a majority of entrepreneurs and people with their request of intellectual 752 - > investment, so that's what venture capital is providing to the audience. 753 - > I mean, intellectual investments where you can help the startups.

754 - > And this, I'm now speaking about iClub, I mean 755 - > Yeah, yeah, yeah. 756 - > And our LPs and friends of the network, I mean, can help startups with your ecosystem of 757 - > contacts, with your alumni networks, with your door-opening opportunities. 758 - > So be connected, be there, influence, impact, to be part of this multiplier effect, which 759 - > early stage is creating. 760 - > Because you are not nobody when you are just putting money in the growth fund, or you are 761 - > playing on the open market, like investing in crypto or whatever, I mean, being influenced by 762 - > the big whales, whatever.

763 - > Here, you can control the business, which is developing on a monthly basis. 764 - > You know the fundamentals as well. 765 - > Yeah. 766 - > And we are enjoying you, me, and our team, we are enjoying reading the reports of 170 767 - > companies in our active portfolio.

768 - > That's what we do, yeah. 769 - > Yeah. 770 - > And that's what we do. 771 - > And this is the best book you can ever imagine.

772 - > That's why it gives us the opportunity to say to the founders to be helpful, to fundraise. 773 - > Yeah. 774 - > And we can do it seamlessly because we have like 3,000 plus co-investors across our 250 775 - > plus investments since 2010. 776 - > And they love to deal with us because we are not arguing with them.

777 - > Because we are likable, I would say. 778 - > I mean, they're happy to see the companies from the U.S., from Europe, from MENA, and from 779 - > Southeast Asia.

780 - > So this helicopter dynamic venture partners proximity approach. 781 - > Right. 782 - > It's actually what is working. 783 - > Yeah.

784 - > I mean, that's super interesting. 785 - > You know, venture capital is becoming increasingly, you know, specialized. 786 - > Right? 787 - > I mean, does TA Ventures see itself evolving towards sector-specific expertise?

788 - > Or do you believe in maintaining a broad approach? 789 - > Broader approach, yes. 790 - > But still, I mean, we like, as I said, tech and talent-intensive businesses. 791 - > I mean, but specialize 792 - > in a particular sector?

793 - > Vertical, I would say. 794 - > Vertical and models. 795 - > B2B marketplaces, clearly. 796 - > That's what we like now.

797 - > E-commerce is still in our portfolio, but less, depending on the geography. 798 - > More in Southeast Asia. 799 - > More in the US, yeah. 800 - > Europe, probably.

801 - > Less in Europe, exactly. 802 - > So we understand the scale, the size of the market, etcetera. 803 - > Health care, I mean, it's like if you bet on any specific vertical, I mean, it's whatever 804 - > offline and tech businesses which can be enhanced and enhanced by AI agents. 805 - > And this is something we like.

806 - > I mean, where is the raw component, like be closer to the ground, to production, to 807 - > supply 808 - > chain. 809 - > This is what we like a lot. 810 - > I mean, this is in the newer thinking of untapped opportunities in all across different 811 - > markets, from the US to Asia, clearly. 812 - > And the health care and biotech.

813 - > I mean, whatever is driven by the science, I mean, this is a completely different animal. 814 - > And we are working with the top-notch partners and experts in these sectors, mostly in the US 815 - > clearly, because the market, the biotech, the market is there. 816 - > We learn from health care verticals in the US. 817 - > We see their thinking of those verticals in Europe.

818 - > And we can extrapolate this experience in Europe and Southeast Asia. 819 - > Because the markets, if to see on a global scale, because of COVID, because of all these 820 - > wars and all this shit show we are seeing now in politics in different geographies. 821 - > I mean, repetitive like black swans are happening. 822 - > So where to, right?

823 - > So it's a national agenda now. 824 - > So the geographies are closing in a way. 825 - > So a big, big opportunity now to bet on the import whatever was your import. 826 - > I mean, we can stop.

827 - > I mean, not 100%, but whatever we can substitute and produce internally. 828 - > That's a big picture now, national strategy. 829 - > Energy, the same. 830 - > I mean, whatever.

831 - > I mean, health data, health privacy, data privacy, data privacy sets. 832 - > Exactly. 833 - > Security, right? 834 - > I mean, biotech data and whatever is kind of like tangible and you should secure.

835 - > I mean, the geographies would like to close and build their AI on their proprietary data, on a 836 - > national scale, on an enterprise level, on a company level. 837 - > So this is their thinking of the future of models and how their geographies are thinking. 838 - > You see the UK is like France, intra-Europe, right? 839 - > US, clearly, I mean, at the top performers AI, they are there, it's concentrated.

840 - > But it's real. 841 - > I mean, this is real. 842 - > So then what other geographies will do? 843 - > You see what Qatar is saying on partnership with the US top players, now Saudi, now Arab 844 - > Emirates.

845 - > I mean, they are working. 846 - > I mean, there will be some solutions, decisions, etc. 847 - > They would like to preserve their national interest. 848 - > And it's from everything, from whatever is like, why to import, let's export.

849 - > Yeah, yeah. 850 - > Why do we have the balance, our trade balance like that, and we would like to fix it. 851 - > Yeah. 852 - > Why China is super like Yeah.

853 - > We would like to have the same. 854 - > Yeah. 855 - > Yeah. 856 - > Right?

857 - > I mean, okay. 858 - > It's plans, but it's for real. 859 - > I mean Yeah. 860 - > That's the challenges of the geographies.

861 - > No. 862 - > That's that's you know, as I say, I think we are totally, you know, in agreement there. 863 - > I mean, you know, our team is very small. 864 - > Right?

865 - > I mean, on the investment side, we have about six people. 866 - > The AUM we're managing is close to $200 million. 867 - > I mean, what do you call it? 868 - > How does TA Ventures operate with, you know, remarkable efficiency with just such a lean 869 - > team?

870 - > If you look at other sorts of funds, hedge funds, you know, venture capital funds, and 871 - > things like this, they're all very, how do I say it? 872 - > You know, they have, like, 20, 30, 40 people, and, you know, they're managing even less. 873 - > But I would say, with us, it's six people, and the AUM is $200 million. 874 - > So how do we maintain that efficiency?

875 - > Yeah. 876 - > So Richard, the answer is simple. 877 - > I mean, you've been investing for years your own money, right? 878 - > That is an answer.

879 - > So I started investing my own money 100 in the first time. 880 - > No. 881 - > But in terms of not about that, but more or less about covering the geographies. 882 - > Right?

883 - > Because, I mean, you know, some people just say, okay, just Southeast Asia, but we're 884 - > covering the world. 885 - > Right, in terms of, you know, okay. 886 - > I'm based in Southeast Asia. 887 - > You know, you're based out in New York, you know, Middle East, Europe sometimes as well, 888 - > and then, you know, the other partners travel as well.

889 - > But it's such, you know, heavy ground. 890 - > I mean, is it sort of those deep relationships and partnerships with local funds in the 891 - > region, or is it just, I guess, the pattern recognition we see in, for example, emerging 892 - > markets to other markets and we're like, you know, these models make sense. 893 - > And then, you know, in Europe and U.S.

, right, as I say, we're reducing our exposure in Europe 894 - > but increasing our exposure in the U.S. 895 - > For example, we're reducing Europe, increasing Southeast Asia. 896 - > Yeah.

897 - > So exactly, I'm coming there. 898 - > So you're investing your own money. 899 - > So the first one was 100% myself. 900 - > Second was 70%.

901 - > And from starting onwards, I mean, it's a minimum 25%. 902 - > I mean, myself and partners and all our venture partners are also investing into the fund. 903 - > So we are all committed. 904 - > And we are very responsible.

905 - > Do you not believe in big teams? 906 - > I mean, in early stage now, 907 - > the 908 - > connection on the personal level should be like 100% plus. 909 - > So I mean, you cannot avoid traveling. 910 - > And our pattern of TA Ventures clearly confirms the thesis.

911 - > If you are acting like a helicopter being everywhere, on a quarterly basis in all four 912 - > geographies, are addressing for all the partners. 913 - > And venture partners are also traveling intra the geography plus outside. 914 - > I mean, that's the only way. 915 - > I mean, seeing the founders having the skin in the game, because that would build this network 916 - > effort.

917 - > Because when you are saying that you invested 1% or 2% or 3% in the fund, I mean, this is one 918 - > thesis, right? 919 - > But when you're saying that all my money is working in my funds, this is my core business. 920 - > Then you build the trust within LPs, within friends of the network, within angels. 921 - > And that's why we have 2,000 angels in our angel community in 40 countries.

922 - > They know what we are doing. 923 - > They know that we have our skin in the game. 924 - > And then we work for ourselves and for our network. 925 - > And this is for real.

926 - > mean, it's not about salary because our small fund of $50 million it doesn't cover the 11% 927 - > We're in the fulfillment. 928 - > We're in the fulfillment. 929 - > Professionals, yeah. 930 - > It's not about that.

931 - > Long mean, we didn't have a salary. 932 - > It's just compensation of travel, maybe, right? 933 - > Yeah. 934 - > But we work for the upside.

935 - > Yeah. 936 - > And we are together with our LPs and angel investors. 937 - > So that's completely different. 938 - > We will, you know, as I say, if the company wins, we all win big.

939 - > Exactly. 940 - > And the way 941 - > it the Angel Club is actually the same. 942 - > Basically, we don't need to raise the growth stage funds. 943 - > Mhmm.

944 - > I mean, we have a couple of hundred million quality allocations in our growth stage 945 - > allocations across our companies which are raising. 946 - > And we love these allocations. 947 - > We would like to put money ourselves, but we don't have the funds. 948 - > So we have the Angel Club.

949 - > And they basically don't risk. 950 - > Unlocks later stage capital, less And 951 - > things like Series A and onwards, mean, we are taking the risk of the TA Ventures. 952 - > This is interesting, also, message on how the future networks of venture capital, angel 953 - > networks. 954 - > And networks of investors can be considered as a future development of venture capital.

955 - > So basically, you are sharing your own allocations. 956 - > I mean, we know that the companies were through the whole process starting from the pre-seed or 957 - > seed with the TA Ventures we know. 958 - > And we are both sides, like ourselves and Angel, are interested in the upside in the 959 - > carrier, I would say, right? 960 - > Yeah.

961 - > So we'd like to show their best. 962 - > We would like to show the best because otherwise, I mean, why to show and to waste the 963 - > money of angels for the worst company, right? 964 - > We should not see the 965 - > shine, show skin again. 966 - > If to show the best and then to have 10x or 3x or 20x or 100x upside.

967 - > Actually, we have in our portfolio like three companies with 100x upside and another couple 968 - > of companies coming. 969 - > So that's the target now. 970 - > Not even 10x, but to pick up those like jewels. 971 - > I mean, couple of them fund with a 100x upside and, like, nurture them and invest and put more 972 - > money with Angel Network.

973 - > And do you see, like okay. 974 - > Even as your AUM actually continues to grow, you know, as I say, over the couple of next 975 - > years, might be 2, 3x the amount we're currently at, right, do you still see the team 976 - > size staying the same? 977 - > Or do you think we will have to grow it even more? 978 - > It depends on the geographies which we will add to our ecosystem.

979 - > So as of now, I've been targeting these geographies. 980 - > We are just fine. 981 - > So what we can do, we can maybe open and we are open to add more venture partners to the 982 - > portfolio with a sectoral expertise. 983 - > So somebody in Web3, I'd say, somebody with a deep expertise in cybersecurity, somebody with 984 - > a deep expertise in biotech, okay?

985 - > So that verticalization of venture partners, yes. 986 - > If you will consider to add another vertical, either India or Africa in the next fund or 987 - > maybe. 988 - > Next funds, maybe. 989 - > I mean, then clearly, yes.

990 - > I guess 991 - > Then we have the The 992 - > same way what we're doing with Southeast Asia now. 993 - > Right? 994 - > Before, that wasn't too much on the cards, but you know, now I'm becoming much more active 995 - > than, you know, it's much more on the cards. 996 - > Right?

997 - > And then as we do more in Southeast Asia and allocate more capital, then, you know, 998 - > obviously, then we'll look to, as I say, allocate more resources. 999 - > Yeah. 1000 - > But with your network, you have a huge network. 1001 - > Pretty in South Australia and not only.

1002 - > Mean Yeah. 1003 - > What we are seeing, I mean, it proves the concept that venture capital like operator. 1004 - > Maybe because we are from business. 1005 - > We are very much, all the partners have very interesting complementary skills, partners and 1006 - > venture partners.

1007 - > And we can fight, okay? 1008 - > We can make a turnaround. 1009 - > We can jump into the deal and really have the 1010 - > That's what is like restructuring. 1011 - > When you are too big, when you have too small a skin in the game.

1012 - > I mean, there are different stories, right? 1013 - > I mean, there are a lot of smart people. 1014 - > But my take is, I mean, I prefer to have a small network of partners with a smaller fund, 1015 - > and return more capital. 1016 - > and return more capital.

1017 - > Because, I mean, the learning is learned. 1018 - > With the $50 million investing in pre-seed and seed, you can clearly make three to five times 1019 - > on the five to seven plus years. 1020 - > And that's what we are targeting. 1021 - > And that's why there are angels and LPs and network.

1022 - > They are eager to stay longer, which is like an alternative asset class where you can stay. 1023 - > Well, you should know tomorrow, you will lose the money. 1024 - > It's like in the business. 1025 - > You invest.

1026 - > You should let the business grow, right? 1027 - > And then from year three, I mean, it's changing. 1028 - > So the same approach and the same approach will not change. 1029 - > So basically, we'd like to do more of the same.

1030 - > Makes sense. 1031 - > Okay. 1032 - > So it looks like a lean team is the way to go, an efficient team as well. 1033 - > In Southeast Asia, we've identified key emerging trends.

1034 - > I've been spending a lot of time looking at consumer-enabled AI, stablecoin infrastructure, 1035 - > elderly care, precision health care, and preventative health care, right? 1036 - > I guess, which trends resonate most with you as well? 1037 - > And where do you see the biggest opportunities? 1038 - > Because without investments in the US and Europe, do you see a lot of overlap there?

1039 - > Clearly, there are models that should be extrapolated in the region 100%. 1040 - > There are specifics of the region we discussed there, like B2B SaaS models. 1041 - > But like, for example, people always talk about SaaS, right? 1042 - > And then we always make that argument that in SaaS, in Southeast Asia or emerging markets, 1043 - > the barrier or the sort of ceiling for SaaS is, you know, 50 million, 30 million ARR.

1044 - > You apply a multiple of, like, you know, three to four x. 1045 - > That's a one hundred million dollar company. 1046 - > That doesn't even return a, you know, a fund. 1047 - > Right?

1048 - > Or it depends on the fund size. 1049 - > But in the US and Europe, we've had billion-dollar ARR SaaS companies. 1050 - > Right? 1051 - > So it depends on the geography.

1052 - > Right? 1053 - > But maybe we'll get there for SaaS eventually. 1054 - > Actually, I'm fine to invest in companies with $100 million potential of exit. 1055 - > It depends on when you enter.

1056 - > True. 1057 - > For us, I mean, if it's a smart team, if the market is there and it is there, I mean, you 1058 - > can see what was built right, better wrong in the US and Europe and build it in the right 1059 - > way, cheaper. 1060 - > Yeah. 1061 - > Because now you can kick off the company with 50k.

1062 - > Right? 1063 - > Yeah. 1064 - > Depends on how 1065 - > I know. 1066 - > Use GPT.

1067 - > Exactly. 1068 - > You know, Replit. 1069 - > You use all these tools, and, you know, you have an MVP. 1070 - > And exactly.

1071 - > deck. 1072 - > No. 1073 - > Yeah. 1074 - > Just everything done really quick.

1075 - > Yeah. 1076 - > And maybe now is a good time for us as a team because we're kind of, I mean, from an offline 1077 - > real business background. 1078 - > So why not inject this expertise and uncork this huge opportunity for businesses, like 1079 - > offline businesses, which can be enhanced by the new tech digital layer, like aggregation of 1080 - > different types of small businesses and services? 1081 - > Whatever will not be disrupted by the robots, right?

1082 - > So not warehouse logistics per se, but other businesses. 1083 - > I mean, there are a lot of opportunities in Southeast Asia. 1084 - > Build like $100 million exit companies, we are fine with this. 1085 - > We can ride, get in less 1086 - > than 15, 10.

1087 - > And you see we are entering like 5, 10 million. 1088 - > So this is basically the thesis of TA Ventures, to enter from the pre-seed, to seed from 5 to 1089 - > 25, plus-minus, desirably closer to the center. 1090 - > Sorry, five. 1091 - > 12, 10.

1092 - > On 1093 - > the series, we had several companies who have entered even cheaper, like $2 million, right? 1094 - > I mean, there are opportunities there. 1095 - > And that's exactly the expertise of the team. 1096 - > So this mastermind, when everybody is exchanging their geographical and expertise 1097 - > during our investment committee, that's what differentiates a global team like ours.

1098 - > It's very interesting as well on our calls, right? 1099 - > Because we have, especially on IC calls, we have myself somewhere in Asia. 1100 - > In MENA. 1101 - > Somewhere in MENA.

1102 - > In U.S. 1103 - > Stefan, somewhere in Europe. 1104 - > I like to be in the U.

S. 1105 - > As I say, Alena, I don't know, New York or Berlin, and then Ilia, London. 1106 - > So it's like everyone's everywhere. 1107 - > And then some and then as I say, the rest of the other people are just, you know, sometimes 1108 - > at the airports.

1109 - > Right? 1110 - > I think we're just always on the move. 1111 - > But, yeah, as I say, it goes without saying that, you if you wanna find the best deal, 1112 - > sometimes you have to get on that plane and meet the founder. 1113 - > So there's there's hundreds 1114 - > of.

1115 - > Totally agree there. 1116 - > But in terms of I mean, where do you see TA Ventures over the next five to ten years? 1117 - > Right? 1118 - > What's the long-term vision for the firm?

1119 - > I mean, to keep creating the ecosystem of top-notch founders because that is our funnel. 1120 - > Right? 1121 - > And this is our multiplier because they bring more and more interesting deals. 1122 - > Mhmm.

1123 - > Maybe. 1124 - > I mean, maybe. 1125 - > In a way, like a TA Ventures operator mafia, right? 1126 - > Exactly.

1127 - > Something like that? 1128 - > Yeah. 1129 - > Exactly. 1130 - > And adding more like smart venture partners with the sectoral expertise and having new 1131 - > friends.

1132 - > So this is our goal. 1133 - > I mean, to do more of the same. 1134 - > I mean, plus million can be in the future now. 1135 - > It's like a hard cap 50.

1136 - > Every two years, I mean, dynamic fund, open to our network, open to founders to get in, open 1137 - > to angel investors from iClub Global to get in. 1138 - > So that's the model we like. 1139 - > I mean, non-lead, but helping a lot with the fundraising and with the network. 1140 - > Yeah.

1141 - > Crystalizing our network to the new, like, keys on the ground. 1142 - > I mean, we like solo new managers of emerging markets in U.S., in Europe, and those who made 1143 - > it, those who built the company, exited, and they understand.

1144 - > These are the people who know bullshit metrics, right? 1145 - > So we like to make new friends. 1146 - > Because unfortunately, I mean, in 2010, I've seen a lot of my friends raise a lot of, lot 1147 - > of, lot of capital, like hundreds of millions, like billions of capital. 1148 - > I mean, we are not friends any longer.

1149 - > I mean, it's hard to talk to them. 1150 - > I mean, they have another problem, how to return these funds. 1151 - > We don't have this problem. 1152 - > Or we 1153 - > would like to deal exactly on their age, but to 1154 - > perform mean, they do well on the fees, but I mean, we do well on the 1155 - > Yeah, that's 1156 - > the issue.

1157 - > And another thinking of this proximity or partnership plus angels and investors proximity 1158 - > to the kind of family approach. 1159 - > I mean, it's like a startup approach, basically. 1160 - > When you're all together, we see each other. 1161 - > You understand the dynamics.

1162 - > I mean, you share the contacts. 1163 - > You invest in the same startups you offer to your network. 1164 - > So it's like you proved, I mean, that we are together, so this builds another level of 1165 - > trust. 1166 - > And the more and more proper contacts will come.

1167 - > So new friends, like early-stage investors, can lead-gen many interesting opportunities to us. 1168 - > That's in the future, but we don't know what will happen in the next five, ten years, 1169 - > especially with AI, etc., etc. 1170 - > Actually interesting, I mean, we are now considering we are working on new opportunities 1171 - > with our portfolio company.

1172 - > They're building agents for enterprises and tech companies. 1173 - > So we'd like to do a similar approach that is trending now. 1174 - > So let's understand which startups are at the early stage and growth stage to invest in. 1175 - > In our case, I mean, growth stage, B stage is interesting.

1176 - > We can bet raise. 1177 - > A stage is more challenging, but we still like to do that. 1178 - > But we would like to go a little bit further to understand, I mean, how to read, how to 1179 - > translate. 1180 - > Yeah.

1181 - > All the different parameters which will integrate into our algorithm based on our 1182 - > knowledge base, how to assess the companies which we don't know, how to screen the 1183 - > companies from those geographies where we are active in the U.S. 1184 - > and Europe and MENA and more in Southeast Asia, how to read, I mean find, and discover new 1185 - > founders. 1186 - > So that's what we are working on.

1187 - > And it will be a cool engine we will build, like a cool algorithm, like our proprietary, 1188 - > like, TA Ventures, TAV, Algo. 1189 - > Mhmm. 1190 - > We are working hard on this. 1191 - > And I think in a couple of months, we'll be ready to test drive this approach enhanced, 1192 - > like, TA Ventures enhanced by AI.

1193 - > Let's see. 1194 - > But all in all, even without this engine, without this additional discovery, we are more. 1195 - > AI agents are playing a massive part right now in technology. 1196 - > I mean, industry, right?

1197 - > I think it's obviously making companies much more efficient, things like this. 1198 - > The trend I've been mainly focused on is consumer-enabled AI, focusing on businesses 1199 - > which haven't really used AI before. 1200 - > These are just traditional businesses or just everyday consumer businesses, right? 1201 - > But once they've enhanced AI, it 10x the sales, 10x the productivity.

1202 - > Consumer Yeah, everything. 1203 - > We've seen with you this opportunity, I mean, to fashion show, like in how much? 1204 - > For $2, right, compared to $200,000. 1205 - > AI fashion shows.

1206 - > AI fashion shows. 1207 - > Yeah. 1208 - > E-commerce. 1209 - > And when you see yourself, I mean, 1210 - > Yeah.

1211 - > And a lot of opportunities from video integrated text, I mean, content. 1212 - > I mean, clearly, there are a lot of beautiful unknowns in the next couple of years. 1213 - > But AI is real. 1214 - > I mean, the help is real.

1215 - > I mean, I cannot imagine my life without 1216 - > Yeah. 1217 - > I mean, like, as I say, 1218 - > our GPTs. 1219 - > Sometimes I have, like, you know, four or five back-to-back meetings. 1220 - > Sometimes even more.

1221 - > I'm sure you're the same. 1222 - > You know, I'm literally using, what do you call it, granola. 1223 - > Right? 1224 - > As I say, just they every call because I'm moving on to the next one already, it 1225 - > summarizes the AI meetings, notes, and then puts in a file.

1226 - > Done. 1227 - > And then, you know, as you say, any sort of doing due diligence, things like this, I would 1228 - > use, you know, deep research and, obviously, for market analysis, all these things. 1229 - > Right? 1230 - > And GPT for, you know, email sometimes, things like this.

1231 - > Right? 1232 - > And even those tools like Superhuman, stuff like this out there and, like, sort of, you 1233 - > know, AI executive assistance. 1234 - > Right? 1235 - > So, yeah, I mean, it's playing a good part, but I think it's quite an interesting, you know, 1236 - > future where, you know, AI won't replace, you know, certain labor.

1237 - > Right? 1238 - > I think it will replace people that don't know how to use AI. 1239 - > They will free the people, basically. 1240 - > Correct.

1241 - > AI is making us free on a different level. 1242 - > Basically, the next 10 years 1243 - > You know, you're having to you are able to do 10x amount of stuff you're able, you know, then 1244 - > before. 1245 - > Right. 1246 - > So it enhances, in a way, like, 1247 - > for productivity.

1248 - > Humankind, I mean, the intellectual curiosity and creativity. 1249 - > Which ultimately will increase to beneficial GDP. 1250 - > So everybody. 1251 - > I mean totally agree.

1252 - > So yeah. 1253 - > I mean, you know, before we wrap up, let's have a quick, you know, quickfire in terms of, you 1254 - > know, on a few on a few, like, you know, quick questions. 1255 - > First one is which I know you're not excited about Europe as much. 1256 - > Which market are you most excited about in Europe?

1257 - > In Europe? 1258 - > Yeah. 1259 - > That's a good question. 1260 - > I mean 1261 - > I didn't want to ask you Southeast Asia because you would have said like I know you just said 1262 - > so.

1263 - > Europe, that's a bit of a tough one. 1264 - > I'm Nordics. 1265 - > Nordics? 1266 - > Yeah.

1267 - > Okay. 1268 - > Any market particular? 1269 - > I mean, markets. 1270 - > I mean, interesting to - I mean, there are a lot of opportunities with the cool companies from 1271 - > there, like Denmark, Benelux.

1272 - > I mean, a new market. 1273 - > Surprise maybe for bigger markets. 1274 - > We've been there. 1275 - > We've seen.

1276 - > But if to uncork some new interesting opportunities, I would look at the Nordics. 1277 - > XAI or OpenAI? 1278 - > Who do you think wins? 1279 - > XAI, I can be biased, but yeah.

1280 - > Okay. 1281 - > Okay. 1282 - > That was 1283 - > very - He's undervalued. 1284 - > Was very quick.

1285 - > That was very quick. 1286 - > Totally agree. 1287 - > Yeah, in terms of and the third one is that most interesting sector for you right now. 1288 - > So you know that I'm a big fan of biotech and science and genetics and the 1289 - > direction.

Is 1290 - > Is that the one you're most bullish on right now? 1291 - > I love this sector. 1292 - > Health care plus biotech, I love it a lot. 1293 - > So I'm fascinated by the mind-reading businesses.

1294 - > And there's a lot going on, I love it. 1295 - > I mean, it's it's amazing. 1296 - > It's scary. 1297 - > Mhmm.

1298 - > But it's an amazing CRISPR. 1299 - > Yeah. 1300 - > Genomics. 1301 - > CRISPR Therapeutics, the share price of that company has been - I just got - we've been holding 1302 - > it for years, and then in terms of like, you know, come up, come down.

1303 - > Now it's, I don't know, like $8-$10. 1304 - > People still don't get the thesis. 1305 - > But I mean, if it works, it's it's it's gonna be massive. 1306 - > Right?

1307 - > It's - I got a lot of beliefs in this. 1308 - > An area you should maybe look at is, if you're excited about CRISPR Therapeutics, is is is 1309 - > phage therapy. 1310 - > That's something that's very exciting right now. 1311 - > So take a look.

1312 - > And yeah. 1313 - > But, anyways, you know, this was a great podcast episode. 1314 - > This is probably our first in-person one. 1315 - > Hopefully, we do many more.

1316 - > Thank you so much for coming on, and maybe we can do another episode in, you know, a couple 1317 - > years, see how many deals we've done in Southeast Asia and, obviously, other emerging 1318 - > markets. 1319 - > So thank you so much for coming on today. 1320 - > Thank you, Richard. 1321 - > Thank you, and good luck to Venture Passport.

1322 - > Yeah. 1323 - > To be the partner.

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