0:00On average at Hicksfield, person on the team spends over $10,000 a month on various models. So internal usage of models a month is over 4 million. Hicksfield. This is the story that no one has told in startups yet. The company has just hit a billion in revenue. It is the fastest growing company in consumer land to hit this milestone. It even surpassed Cursor.
0:22Alex, the founder, is an incredible genius. This is the story that you don't know that you need to know. My parents told me that I must get to the United States cuz this is the place where technology matters. By the age of 19, I was able to get to top three in the world in competitive programming. I just caught a guy who spent over 30k in a week on Astra model. Many people spend over 10,000 in a week. Ready to go.
0:57Alex, I am so excited for this dude. We were talking downstairs and I said, I don't think the Higsfield journey has been told before and it's it's an amazing journey. So, thank you so much for joining me today.
1:09Uh that's very special opportunity for us. Thank you for having me. Obviously, your story is inspiring as well, like how social media has become like an elevator for you, opportunity to create fun and so on. Dude, it's very kind of you to say. I do just want to go back though because you're not the Stamford, Silicon Valley, born and bred engineer.
1:31You were a competitive programmer in Kazakhstan. Can you just take me back?
1:36How did you first find and fall in love with computers and become a programmer so early?
1:40So, first you need to understand where I come from. So my father is from Usbekiststan. Usbakistan is a country in central Asia where like if a family of five people makes $1,000 a month, it's considered to be wealthy. So it's like not very high standards of living unfortunately. So um but both my parents are professors of mechanical engineering. Since I remember myself since I was eight, my parents told me that I must get to the United States because this is the place where
2:12So um my mother had to work three jobs because basically my education was to compete in programming competitions all the time and to go to various educational camps where I could learn from the best like certain data structure data structures algorithms and so on. Can I ask you a question? Did you feel pressure as a child competing being pushed into these environments when you were so young?
2:42Absolutely. Uh but and and and I'm very grateful to my parents that they showed me the path really from that from that early on. Um definitely when you come from this part of the world think about post Soviet countries uh India China like getting to the top of the rankings in any competition in any international competition is the only way to really break out. So by the age of 19 I was able to get to top three in the world in
3:09competitive programming. But then instead of pursuing like um like academical career decided to do startups. I'm sure your parents were thrilled. Uh can you take me to that decision? Like this is like the penultimate moment.
3:24You've worked 19 years for your parents have told you this is like the mother load. This is the thing and you're like I'm going to go and do this really risky thing called a startup at this point like what happens then?
3:37So let me take you back to 2014. I was very fortunate to work on pre-transformer architecture neural nets and I was primarily just doing optimization make it run faster um parallel across multiple machines and so on and um I was and we actually build state-of-the-art system for language translation from English to Russian and Russian to English apparently talent wars were a real thing even back then a lot of my teammates were hired by Deep
4:07Minds and Meta and uh but My passion was actually different. I was very very surprised to learn when I come to to for the first time how quickly Uber actually spread out. And I was thinking if like this app can take over the world so quickly and transform the whole industry, maybe what's going to happen is that mobile phones are going to become the most used devices in the world. Maybe there is going to be a
4:35version of the future where everyone is going to be spending most of their time in their life watching AI generated videos on the phones cuz I mean who else is going to produce videos for for the phones? Maybe it's going to happen with AI.
4:48Okay. And so that was the company that we built before that you sold to Snap.
4:52So yeah, so the company was called a factory. Um was fortunate to meet Mahi 2018. He's co-founder of Hicksfield and he is a like veteran of Silicon Valley went through ups and downs and um sold it to Snap for 100 for million for 166 million and um then I was leading Jenny there pause no offense dude you come from um you know a family of incredibly
5:21ambitious parents who push you to do well and you just skipped the moment where you sell for 166 million It's a lot of money. Um, how did that feel when you did it?
5:32We both remember these times where the capital for AI companies was not really that much available and when and AI multiples were not like 200 to revenue as they are today but closer to zero cuz AI was not a topic. So there was like severe del dilution which we experienced. So you just to calibrate.
5:53So can you okay what was around?
5:56No look I mean back then rounds like rounds of like$12 million having like$12 million in investments was considered to be really good. Uh but it but it was still an opportunity for me to finally go to the United States. So after the acquisition I permanently moved to uh first to LA and then to Silicon Valley and my dream simply came true.
6:16Was it what you thought it would be?
6:18That's a good question. So um as San Francisco is definitely a place where no one judges by race, nationality and so on and that's that's um that's truly phenomenal. There is definitely a meritocracy in a sense that it's possible to meet anyone but in the same time what I see across Silicon Valley investors it's extremely consensus driven. So um I mean I think that last part I expected to be different but then
6:47I read the book about the law of capital and I realized this is just how the world works.
6:51So then tell me we have sold to Snap we're now in the US this is the moment you wanted how does Higsfield come to be back then like Snapchat 2020 was uh really growing so so quickly and the face filters which my team has built was driving most of daily new users. What what's important is that um these face filters we were able to manage to run on mobile devices. So it was virtually for
7:19free for Snapchat. It's not like current LLM tokens cost. Um and but but it and it and it scaled to hundreds of millions of people throughout the world. And it was truly phenomenal to me to build a product which is still probably the most used consumer media AI product. But then um but then what I realized is that there are a lot of unmet needs on advertising sites. Average company
7:47cannot figure out how to be relevant on social media. So and this is a major gap like social media is the main media in the world. A lot of companies are actually able to build direct response advertising so that they can actually sell more. But in the same time, most of the companies in the world cannot simply do that. And basically, no because no one simply can keep up with the pace of production for social media as trends change pretty much every day.
8:16Mhm. And so you were like, hang on a minute, these big brands aren't able to have media houses and so we need to create a tool that lets them. That was the cell.
8:24Yeah. Ex. Absolutely. So where it all really started is that we like there was a tool like to upload set of images and transform them into a slideshow with music.
8:34It's kind of better than nothing but still pretty bad, right? So another solution was to take long form video and cut them to short vertically oriented videos. This was better but still really not perfect. And it felt to me that um especially 2023 it was absolutely clear that scaling loss finally work. It's not just a concept from science that scaling laws work. Video just takes couple I mean
9:02maybe two three years longer than LLMs and coding. Uh but it was clear that uh actually finally scaling loss should work in video as well and I decided just to take a bet. But I just want to go back. I get that in terms of what we see, which is, hey, we want to empower these brands and companies to create amazing media for social media, but it wasn't a hit from day one. And I spoke to Amy at Menllo who mentioned like a couple of pivots before and the
9:31meandering that we had. So what happened when we launched? Did we have immediate product market fit? No, actually we spent more than a year in a search of a product which could work. We burned more than 10 million out of 16 million raised in seed fundraising. So we felt we have just one attempt left.
9:58And frankly I feel I I'm responsible cuz I was focusing on the wrong things. I think I just lost the touch with reality back then. I was so much optimizing for what's hype today, what's the right narrative, how we can hijack the attention, all these things really like everything instead of building a good product. So when we had less than 6 million lefts, I guess it was slightly
10:27less than five actually, I realized that the only thing which we can be focused on is to lean into the product PLG and just finally set belief that the best product is going to win. And um so and then we just started to talk to customers. We spoke to eight creative directors about their experience with AI and what's simply missing. Everyone told
10:55us that camera control does not exist in AI and camera control is so important to tell a story. So this is a very important bottleneck to solve. So we released our products uh March 31st last year and since then we are really riding this crazy wave.
11:13Was it immediate product market fit then?
11:15Like yeah it was immediate. Is product market fit like love? When you know, you know.
11:21Um, yes, it's definitely when you know, you know. Like for example, we don't do any paid and like we have we have on the team people who scaled businesses to over like billion and two billion in revenue like other businesses um with paid advertising. Like at Hicksfield, we decided to really make a bet that we don't do paid.
11:43We don't do paid. Is influencers not paid?
11:46That's a good point. So, um with influencers, there is typically there are different types of influencers, but typically there is um some fee for just video production and then like some cost per click like attribution which is like works really well on YouTube. You you guys got into some controversy for like I can't remember what it was. you were like pay paying people to promote for you or doing something rogue with
12:18Was that completely unfair? Was it kind of my bad we did do that? How do how do you respond to that?
12:25The main takeaway from like our experience is that it's very important to own own distribution. Distribution now more important than ever. And like we basically did outsource we had just a team of like two people on creator and customer success sides and we just did outsource to the agency and this was not uh that was not a good experience but uh we are still but but we are still trying to find interesting opportunities to tell
12:55about new media formats. Some of them are rather controversial. So, for example, recently we partnered with Neon, one of the largest streamers in the world, and launched like his own sort of AI generated stream. Um, like no one else did this before cuz this is like real creator making a replica of themselves. A lot of people start to question uh start to question their um like is it really authentic content or
13:23not? But in the same time, those creators are under immense pressure. We all know about the story for about from Mr. Beast about like really how much like there is just pressure to constantly perform. So um and we also know through conversations with many talent agencies a lot of top stars actually want to be able to do more if they could create digital replica. But so what's happening today very
13:49frequently is that um those a tier celebrities they simply come up for a recording on like let's say green screen and then there is just a lot of post-prouction which goes on top of it and it feels to me that uh we are we we naturally going to come to the point of time where a AI digital replicas are going to become just one of the ways how creators can monetize.
14:14Totally get that. I do just want to go back to part of the story. Where are you at revenue-wise today?
14:21Uh so today is actually exciting day like when we record just Bloomberg article went out so that we cross 1 billion in annualized revenue. Um if I had a gong here I'd be like hitting the gong. A billion in revenue.
14:36Yes. Um actually it took us 18 months from 1 million to 1 billion for Corsor it took 24 months. Um so we are probably uh probably like the thirds after open the anthropic 18 months from a million to a billion.
14:57Yes. How do you calculate revenue? Like it's a controversial topic. Um, how do you help calculate revenue?
15:07Absolutely. Uh, by the way, your um, co-host uh, Jason also asked this question in May. Luckily, answer didn't change. So, we are at least consistent. So, but let me be transparent on that. What we do is we look um, revenue over the last four weeks and multiply it by 13 from what I know openable all of them use the same methodology.
15:31What's very important is that we are we take revenue not sales. So if that's like annual subscription or annual enterprise contract we prorate this across 12 months and take only this uh and only take like a piece which corresponds to one month to 28 days to be uh to be precise. That's the first piece and second it's only live revenue.
15:56It's only live revenue. We are not taking like three year enterprise deals and baking into like 1 billion figure. No, we don't do that.
16:03If you were to break that billion up today into annual contracts, monthly subscriptions and then token spend, what would that be?
16:13So, um, videoi is still relatively early in my opinion. Uh, it is still probably two years behind coding in terms of adoption. So on demand usage for leading to coding companies could be over 50%.
16:30And I would be honest for video it's substantially less than that. Um in the same time what's very interesting for us to observe in the business is that there is sub significant revenue expansion. I always love to study stories of the largest customers on the platform. So, one customer started um 6 months ago spending just subscription $99
16:57a month. $99 a month. And now we just signed a deal over 6 million.
17:046 million a year. Right. So, yeah. Like this level of acceleration is something which really like mind-blowing to me. Dude, what are they getting for 6 million a year? that's like a Hollywood content team almost.
17:19So there are multiple trends um as and all of them frankly coming from Asia.
17:25So first we're seeing a lot of um direct to consumer e-commerce companies rebuilding their whole go to market to be AI native where they make uh where they just make hundreds of ads if not thousands a week where they can AB test what performs well. But we all know about like short form dramas, right?
17:47Like most like short form dramas today is an industry over 10 billion owned primarily by Chinese companies having huge impact both in China, United States, in Europe, everywhere in the world and most of new shows there are made with AI end to end. So look, I think uh like the this adoption obviously is uh coming like bottom up, but um that that's very difficult to refute this new reality.
18:15What percent of revenue is consumer versus enterprise?
18:18So that that that's a great question. So um so B business revenue is slightly over 50%.
18:27Yeah, that's impressive.
18:28Thank you. Um on the consumer side, it's also very important to break it down. So on the consumer sides out of these 50 is around like 10% is pure consumer use cases pure consumer and that's roughly people who use it on mobile. So share of our revenue from mobile is less than 10%. That's why we are we are very different from many other companies and but there are lots of aspiring creators like basically those people who are freelancers doing social media marketing
18:58projects and so on who try to learn video AI so that they can make more money. It's true that their behavior is a little churny. uh within a year most of them actually come back to try again and we do believe that over the time most of them are going to figure stuff out and they're just going to become this new AI native workforce. So it's still important for us to educate them and uh that's why we invest so much in
19:28like Hicksfield Academy, YouTube channel and so on. But we also are f fully cognizant that we will never be able to win in a market of subscriptions of $20 a month.
19:43So why? Because like I think like today Google and Open AI they pursue like ads so much but fundamentally I think they are going to completely demolish all the consumer subscription markets which is uh $20 a month subscriptions.
20:01Oh, so you saying that because they provide a horizontal product that's very good, you're just going to not pay for a lot of the verticalized products that you used to pay $ 20 $30 a month for.
20:12Yeah, I do believe that. That's essentially what's going to happen over the time. Um, I know this is a very contrarian bets, but um, at least we can see some of that.
20:22I think it cannibalize Canvas growth if you're honest. A lot of the lowhanging fruit on the consumer design side that Canva used to serve can now be done in open AI in particular.
20:33Is that what you're talking about?
20:34Yeah. And I do believe this is just the most apparent example, but there are couple more which is which is already happening. And I do believe that uh that's why for at Hicksfield what what really matters for us is how we even if we get someone on like $20 a month subscription like how can we show them value how can we make them to upgrade to over to spend over um to over $1,000 a year with us. I can't believe that's 6 million a year from 99 bucks. That's the
21:03best ever slide on a fundraising deck.
21:06And all of our customers are going to do the same. Exactly.
21:09Can I ask you mentioned there kind of churn rates when you look at 30-day retention rates for consumers and 90-day retention rates. What are yours and what is good? So, there is um quite massive drop within the first month just simply because people don't fully realize the value and that's a that's a core priority for us to actually get better in that. So, showcasing the value. Is it like half or like
21:36No, it's uh it's maybe like 30% drop.
21:39But then it's it's really flat after that. It's we look obviously at like logo retention.
21:45I wouldn't say it's great but because like we all remember like B2B SAS era like uh retention was expected to be logo retention month one was expected to be over 80%. M um so clearly we have uh we have a lots of work to do on uh user education to get there but some things are truly phenomenal like when I look at the cor at the business segments and NRR at month 12 obviously like you're going to argue it's like 18 months old company
22:15like what are you talking about but still when I look at the numbers which I have today NR at month 12 is over 300%.
22:22just it just never happens in B2B SAS right so um that's why I'm saying that while there is substantial churn in month zero and we have to do better job with user education to address that expansion is unprecedented can we actually just unpack the two different go to markets cuz you got consumer and you got enterprise and I spoke to quite a few of your competitors in all honesty before this show and I said hey you we've got Alex coming on what should we
22:50ask him everyone said the same thing which was an admission of their respect for this particular kind of GTM. They said you've ex executed the most impressive influencer campaign in tech and what I wanted to understand was when you look at the consumer growth what worked what didn't work and how do you reflect on that first and foremost like the goal is to make sure that the
23:18best commercial video content is generated on Hicksfield and we show all the workflows of how to make such uh professionallook videos and we have an in-house team of over 150 creative professionals.
23:34150. It's it's almost half of the whole work workforce frankly. And um they th those people they make product launch videos, they make tutorials like for example we made the first generated movie which is also like obviously um a very um a very sensitive topic but what's important we open sourced all of it and what we learned is that for 90
24:02minutes of uh of like let's say TV quality content it was over 100 hours of for yet generated contents. So creative decisioning like picking the right piece is still very important. Um so that's really what's what we are focused on and that's what's driving most of the most of the revenue.
24:22So you're saying the the growth in consumer subscription is through own content and distribution.
24:28Yes. We don't do any paids. Early on you made an interesting architectural decision to have your own models and then you since walked that back. Can you talk me through why did you choose own models and why the walk back?
24:43Oh, um yeah, obviously this was uh obviously this was my mistake. I'm going to be I'm going to do my best to be um transparent. What I need to admit, we really tried we I at some point of time I really was thinking that chasing benchmarks um is valuable but I don't believe this is just sort of corporate scops frankly. So um and I was part of the large organization so I know what happens.
25:08What happens is that everyone just thinks like we need to show some progress. So we need to have some benchmark but then when I talk to the top researchers from these labs especially larger companies what happens is that they start to put test data into the training.
25:26They start to kind of use uh leverage test data to use LLM as a judge for training of the models. use all the various tricks to basically gain benchmarks, get get like quarterly bonuses and so on because like who cares, right? So if I make my couple million dollars a year in inside in one of these labs, I can move to another lab easily. So that's unfortunately what's happening in larger organizations. Um and can I just stay on that?
25:53What do you mean? You're saying that they are incentivized by benchmarks and so because of that they are doing artificial things to improve their scoring in benchmarks which actually don't increase output efficiently. Yeah. Look, I think let's just look at the outcomes which we have today. Out of all the incumbents in the United States, when I look at open router data, the only company which is relevant is Google.
26:22out of all the incumbents when I look in China where probably obsession with benchmarks probably is less we have 10 cent shyomi Alibaba uh like three incumbents being completely relevant and obviously like by dance obviously trying to catch up as well what's your takeaway from that I just do believe that uh the there is just obviously in the in tech bubble there is a strong obsession over the benchmarks uh which do not uh necessarily
26:51represent the reality. But I can talk specific specifically in the for video.
26:56A lot of benchmarks today for video is really text to video which does not represent actual workflows at all. Um the way to think about video models today, it's just modern rendering engine. It think about this as like Unreal Engine or Unity but just different types of inputs.
27:17And it's virtually impossible to really define a visual output and and direct the execution just through text. If you just go and to our open source projects like this movie which I mentioned average prompt length is over 3,000 words. That's the first thing and like look all these benchmarks which we are talking about they are not like as comprehensive in terms of the details of prompts and people who are labeling they obviously don't cannot read like 3,000
27:46long word long prompts but also on average there are at least 10 image references for every for every scene. The reason why it's important because it's important to define how the characters look like, how the background looks like, like how actually characters are located to each other in the scene and so on. And so that's why like prompting and like just the workflow is so complex. Benchmarks just don't rep don't represent that.
28:14So going back to the model selection, why did we decide we're going to do our own and then why walk it back? It's true that like with VFX and camera control, we got very very quickly from like maybe 1 million to 20 million in AR within maybe the first 3 months. Then we released own image model which is really good at um aesthetic photo shoots and
28:43product consistency. This is what allowed us to scale then from 20 to 100 million. So help me understand, Alex, why did you decide that you were going to do your own models and why did you abandon them?
28:56We still do them whenever we see like specific use case like these photo shoots.
29:01Uh but but as soon as this is what our customers want. So it's all driven based on the customer feedback, not just by ambition to conquer the worlds and build the best model in the world. Do you think every company will have their own models like we're seeing Harvey, we're seeing Cognition, we're seeing Mccor, Ramp build their own models and we'll see every company have their own models with their own data or we actually all
29:29use a series of providers. So um first of all whenever just to be honest whenever someone says we build our own models very likely what they mean is something what see what's happened with Corsor. We we do remember right a lot of companies they actually take open weights model and just post train on own data.
29:49Um and post training can happen in two ways.
29:53Most importance is whenever you have um customer data around like decisions they make like sequence of decisions and you can teach the model to actually take like learn how to compress these 10 steps into one step. like this type of reinforcement learning is the most valuable. So and I think like increasingly more and more companies will have to do that frankly just we see this in the market as well. So the most
30:22most of the companies in the world today most of the businesses they don't necessarily need Astra specifically they don't necessarily need the newest fable model and that's why like open router reports that uh share of open source models went from below 30 to over 60 within within this year.
30:43What do you think share of open models will be in two years time? Look, I do believe that just because the cap capitalism works, I mean openly ananthropics still are going to have more than 50% of the markets in terms of the dollars generally in terms of the dollars, right? And especially because uh for coding still remains to be very very prolific use case where coders are always jumping to to to to the recent model over but for our markets we're seeing completely different dynamics. what's
31:12actually happening in social media marketing as companies start to print hundreds of create ad creatives um a week they want to have maybe cheapest more steable models cuz like PhD level intelligence is not necessarily needed for to make viral social media video. So um and that's where we actually have seen that um we get like 80% plus margin
31:40whenever we run open-source models like post-trained open source models. Uh but it can be way more cost efficient for our end customer compared to the proprietary models.
31:53What's the comparison on margins between open versus closed for you?
31:57The margin on own models and open weights models is over 80%. Um, and then it almost doesn't matter. And for closed source models, it's probably between 20 and 30%. And then what becomes important is can we actually steer the traffic. What makes me excited about Hicksfield is that umic grows so quickly and actually for us as companies start to actually create those agentic workflows to make more ads we choose which model we can use. So like
32:34we choose what model to use in over 40% cases.
32:39In a way model routting becomes a core feature of the business. No.
32:43Yeah. We call we call it tokconomics essentially right as like there is certain amount of work customers want to do um how can we optimize number of tokens which requires and how we can pick the most efficient tokens for them there are actually two incumbents in the United States who figured out models it's not just Google it's also Nvidia why do you think that is what I'm constantly seeing is that um the there is the versions of models so there are
33:11these state-of-the-art models which have to be really good in computer use like Astra or in coding. Um but they can be prohibitively expensive and we we're chatting about that like on average at Hicksfield person on the team spends over 10,000 over $10,000 a month on various models and remember like we are split across United States and Asia across so how much do you spend on models per
33:39month? So internal usage of models a month is over four million.
33:47Wow. How many people do you have?
33:49We have close to 400 people and just want to make sure that the math adds up. Yes, it's um it's definitely over it's definitely over $10,000 per person.
34:01How has that changed over time?
34:03That's the best question of the whole show, by the way. Um that's the best question. What actually started to happen is the creative team started to do VIP coding like the like like this month I was I just caught a guy who spent over 30k in a week on Astra model cuz he was frankly frustrated that some like asset organization workflow and as you said like basically auto editing is
34:36still not very good in production and he said, "Oh, I'm just going to do this myself." And just went like five nights, five nights straight on Astra and it works.
34:48We learned a lot. I wouldn't say it was production ready, but we learned a lot.
34:54Yeah. Yeah. Many people spend over 10,000 in a week.
34:59Yeah. My finance team will probably say, I don't know if if you know if you ask any of them, but they will probably say that I'm like being too stubborn, too relentless to control the spend cuz sometimes I feel it goes like it it really goes out of control like 30k in a week is quite a lot. But we learned this. So this was actually net positive experience.
35:20Okay. So the internal spend 4 million about 10,000 per head. What will that be in 12 months time do you reckon?
35:27So that that's very interesting. So across uh the top uh the top engineers and across top creatives I think it's going to keep growing and I do believe we are going to get to to to spend um close to 50k and 100k a month for those who can call 10x engineers 10x creatives unfortunately I also expect that these people will ask for comparable salary raise as well so I think that's just going to correlate at some points um but
35:57also for a lot of other jobs. Let's say we to take legal finance and so on. I think it it really stabilizes around like um $500,000 a month very very quickly. With those 10x engineers, the idea is they have thousands of agents running below them doing a lot of the difficult execution work that took time. Do we just have dramatically smaller teams with those 10x engineers, 10x designers, 10x
36:26finance leaders? I can definitely say that the I I I had sort of a feeling that legal customer support um is going to be mostly replaced and that's obviously one of the main u mistakes operation which we have done in the company that we didn't ramp these teams quickly. Um what we are seeing today is that like let's say our legal team is like over 10 people our customer
36:55success team is over 40 people all of them use AI heavily we like at at these professions where I say quite close today I definitely can say that uh there is I don't see any elimination it's true that probably over 60% of customer support requests especially the first line of defense can be handled with AI but when it especially comes to B2B It doesn't like it like AI just doesn't work.
37:21Revolute has now over 92% resolution rate on customer support for consumers.
37:29It's it's it's pretty good. But obviously they did invest a lot into that [ __ ] ton. A [ __ ] ton.
37:35And and but also very important the way how Nick thinks about that uh is in terms of the playbooks. We launch products, new products pretty much every week. So um we have to we have to keep update agents with all the information and so on and just due to the high velocity having um extremely smart coordinated team is is very important. That's really interesting how product velocity increases leads to harder customer support for agents.
38:05Of course, cuz uh the agents are as good as context and rules which they have. And if context and rules change pretty much twice a week, it gets a little difficult.
38:14When you look at your engineering team today, what are they on? Are they on cursor? Are they on codeex? Are they on core code? So from a period from March to June, everyone really moved to claude um including the creative team and that's where we actually started to see creative team vibe coding functionality which we don't have in production. But then we started to see that all the
38:42coders quickly moved from claude to codeex um as of mid June and um over the time especially 10x creatives moves to codex as well but look I do believe that there it's it's it's cyclical so it's so cyclical my question to you is will we continue to see the velocity of model release that we're seeing now you in 3 years time will It be like, "Oh,
39:10Gemini this week. Oh, CL Anthropic this week, OpenAI this week." Or will we see a a reduction in model release rate? I don't think that's going to happen anytime soon. So, I believe like for example, recently OpenAI announced that they basically build OpenAI for law, right? But that's only V0. So over the time they also are going to try to print smaller specialized models for like not like exactly smaller uh but really
39:39specialized model for certain use cases. Um clearly like Astra excels in long-term horizon.
39:46Do you buy that? Like I look at that GPT for law from Astra and I'm like I'm sorry I think it's complete [ __ ] with the greatest of respects. It is a very deep functionality required to serve some of the biggest law firms in the world. like very very deep and specific functionality. It's very specific according to the different types of law as well. Plus, if you want to sell into these law firms, it's a multi-year sales cycle with some of the stodgy old lawyers and partnerships.
40:15You can't just say, "I'm open AI. Yep. We've just hacked into the Australian government, by the way, but we're here to serve your law firm." Uh, okay. Yeah. So, first of all, I think uh just uh definitely the ability to switch internal use just for internal teams outside of law firms. I think that's I think that's definitely happening. Oh, I think we both investors in company called solve intelligence.
40:43Love it. Yeah. Very specific. Very specific. And let me try to maybe bring couple examples why like solve intelligence is so special and like where like for example how we learn from this.
40:57What can happen very often is that a company want to just control the patent workflow even if they outsource the work and that's very valuable just to have one system of records. So whoever can create AI native system of records is going to win. And but going back to Hixel why it's so important for Hicksfield there are so many systems today which are used for just to store assets like some people use Dropbox
41:27some people use Google Drive some people are going to try to use Miro some people are going to try to use frame.io like there are many solutions but let's think about what people need.
41:38What people need, they want to be able to search contents and and marketers especially want to make sure that content is on brands in terms of the visual identity, but also like if that sort of adheres to certain brand guidelines and that's where like semantic understanding and semantic controls become finally possible. It never existed before. So in our space there are definitely other companies like
42:06Adobe and Canva who builds the best software for the pixel first era where everything was defined with pixels but that's clearly not how the world is going to work in the future. What we're envisioning and that's what everyone wants. They want to just be able to search and um like really work through the library of assets and all the knowledge through natural interfaces. So being able to own this interface and
42:36build the analytics uh like this system of records is important. That's why at Hicksfield we invests it so much in harness so that it improves over the time. And this harness also um allows it basically learns visual style over the time which let's say cloud and open AI cannot necessarily do.
42:58Do you believe in moes anymore? you you've been around startups for a long time. We always talked about moes and defensibility. I largely think they're [ __ ] You know, we we saw lovable when I invested. Everyone was like, "Oh, it's a rapper. It's a rapper, you idiot, Harry." And actually, it was a rapper, but it's about speed of decision making, product execution, and building value over time very, very fast. Instinct is a rapper. Of course, it is. It's not that
43:28difficult to do an AI assistant today which why there's so many but they're building incredibly quickly very valuable features and you build it over time. Do you believe that moes actually exist really?
43:41I know like you ask this everyone um so um and this is cuz this is on top of everyone minds like how to think about the metrics which matter today and how to think about the modes. So um I think um it's very difficult to figure out where the value occurs in the supply chain. Um we do believe that there are only two like ways of uh modern value creation or modes today. First is when
44:11you deliver the outcome and for us it's allowing businesses to sell more through AI ads. So that's the first thing and the second thing is network effects.
44:21Unfortunately, AI does not replace network effects. And when people talk about swarm of AI agents talking to each other, I'm not sure this is happening in the next five years. So, um, that's why it's so exciting that within Hicksfield, like we really wanted to empower community to create more projects, open source, open source them to really build a snowball where people can capitalize on each other output. This is the reason why software grows so quickly cuz it's
44:50so easy just to go and fork someone's project on GitHub. So, and like we were able to scale from basically like I don't know 10 seeded projects, open source projects like 8 weeks ago to over 10,000 today like seeing these type of network effects I believe can become a mode over the time. When we look at your growth, fundraising is a big part of it.
45:12It costs a lot of money to be able to spend four million on, you know, different aspects of, you know, uh, inference band.
45:20What was the best VC meeting you've ever had?
45:23Obviously, um, Yuri Milner gets gets it.
45:27How was that meeting? Like, was it was it in person?
45:29Yeah, definitely in person. And definitely Yuri stays on top of all the trends. And how was it? Were you nervous?
45:36I I wouldn't say nervous. It was just more uh to see how much of the uh if we see the market the same way and I was truly surprised that Yuri deeply understands this transformation of content first and foremost. Obviously it starts with this direct to consumer AI ads. It starts with short form dramas.
45:58All these trends come from Asia to the west. And um also fundamentally we believe that most of contents on social and in the world is going to be AI assisted or AI generated and uh the and like this multi- trillion advertisement industry and you know like contextual advertisement is the main business model
46:25of the internet. It's all going to be substantially disrupted with video AI. This industry still going to be very valuable, but it's never going to be the same.
46:35Did you know when you left the meeting with Yuri that he was going to write the check?
46:39You know, sophisticated investors, they can play games. I had like so many scars like people really shook hands said we do at this price and next day what I learned is that they called other investors and they pulled the syndicates and to invest in 30% lower valuation compared to what we discussed. So like look these things just happen so you never can be sure but it didn't happen with Yuri.
47:01I think there's a discount placed on Higsfield because you're not Silicon Valley insider. Like let's be clear you're at a billion in revenue now.
47:10Yeah. If you were a Silicon Valley company, that would easily be a $25 billion company growing at the rate that you're growing in 18 months.
47:18Yeah, you could also argue that's what cognition was valid at 50, right? So there is definitely an upside upper band even more. Yeah, 100%.
47:26So a couple things which I believe are very important. So first we build for long term. We have seen that direct to consumer space like e-commerce can be disrupted like Shopify is a great example how they become they have become infrastructure to build like direct to consumer businesses and we become infrastructure to essentially build distribution for direct to consumer businesses. That's one aspiration and second aspiration is obviously a plain like companies worth
47:54over $200 billion. It's insane. So look and as we think long term just this you know like these multiples don't don't matter that much as we know we're building long term we're going to be over 100 billion it's true that most of the people don't get the opportunity that we are going after the biggest industry in the world but I wanted to drop another another number so when I and I asked the team to double check so it's at least four people on the team
48:21who prove so it's not like random fact so I asked um When we look at public companies and we exclude pharma and big tech, spend on sales and marketing is higher than spend on R&D. Like what when it comes to sales and marketing, the goal is to deliver personalized offering which converts the best. A lot of that is human work of course, but a lot of that is going to be personalized videos
48:50in one in some shape or form. So that's why I'm saying that um many people just and that's good for us that many people don't understand the opportunity this large market which we go after.
49:01Can I ask you you've mentioned Asia short form dramas a lot. What percent of revenue is from Asia versus the west?
49:09Um so oh the west makes well over 70% of revenue. well over but just important to say that we learn a lot from trends coming from Asia like Hicksfield does not exist in China for example which is massive market for AI um Hicksfield uh but the largest city by usage is soul in South Korea while the largest country is obviously the United States what's the biggest lesson from Asia that you've learned
49:38there is so much IP so many products coming from Asia and they all try to figure out distribution direct to consumer. That's why they lean into the new tooling like video AI which actually helps to achieve that. That's just very different mindset. They feel that they could do they could do way better if they could establish direct relationship with customer instead of having like some other layer. That's why
50:06they go so many so much direct to consumer rather than using some resale platforms and so on. I sacrifice a lot of life for for the life that I have and the career that I have and I love it. Do you think you will one day regret spending a day with your son in 3 and 1/2 months? Look, this is goes even beyond that because my um from the age of 7 to 12,
50:34my mother had to work um three jobs. So, I didn't see her. My father was spending all the time with me going to all and it was I was basically minor so he had to go to all these camps with me. Um I also play checkers. I was top three in the world. So we went we travel throughout the world and um then I did programming.
50:54He spent all the time with me like really dedicated his life to me like he did sacrifice and uh since 21st he has Parkinson disease. So um even like having some ability to capital and exits cannot fully change things and um this is something which is um deeply personal obviously.
51:18But you don't need to do what you're doing now. Alex, I didn't need to anymore either. I still am. I still miss family birthdays. I still miss weddings cuz like mine's about a deep insecurity rooted in me being a fat kid.
51:35um why are you doing it?
51:37So I think Mark and Jason actually described it really well. There are like five archetypes. So obviously for me it's just huge conviction about the technology, about the market, about the opportunity and just huge fear of missing that huge fear of missing that.
51:52But remember that um my parents really taught me that um there is a place in the world where technology like good technology products matter. I remember like when I was six there was um like this I guess magazine about Bill Gates like building Microsoft and not being like very like socially accepted everywhere back then and like my mother just told me oh like these examples basically happened in the world. I think she didn't fully understand like San Francisco and
52:21Seattle are different cities but still uh this that's still deeply rooted in me.
52:25Childhood shape us a lot.
52:27Yeah. What did your parents teach you?
52:30For them, what was important is to just be in merit-based environment sort of um and um that's why getting to uh California felt so important.
52:44What's your biggest lesson on hiring?
52:46Speaking of a merit-based environment, we see a lot of uh focus on your cognitions of the world who hire mass Olympiads.
52:55What's your biggest lessons on hiring effectively?
52:58I think one of the things why Europe thrives so much like I know that you typically say otherwise but let me just challenge you like who are the most relevant NeoClouds today? It's Nscale, iron and Nobus and Cruso.
53:18Mhm. Brusso okay Silicon Valley story I am from Australia and scale from the UK and anobus is UK and Netherlands let's talk about the companies on application layer they that matter I know that you mentioned Merore and you mentioned Harvey but Legora 11 Labs lovable they all deeply matter so if we just go outside of the model layer h cuz then I don't want to go into the mistral topic
53:48right but if we go cuz I think like by usage they have the numbers are very strong but people for some reason don't don't believe in that so I don't know why but public public data shows that the usage is there but on every other layer Europe is extremely competitive like ASML like without ASML this whole thing just wouldn't happen so I I think fundamentally what's matter is if if like Europe is going to figure out energy but that's goes outside of that's above my pay grade right um so very
54:16important to say here is that um now there are more opportunities to create company from um different kind of cities from different parts of the world while before it all felt extremely centralized um and we are we are excited uh we are obviously excited about that and um another thing about hiring um is that in Silicon Valley unfortunately what I'm seeing is that people just jump between
54:45jobs every two years that's why um I think Europe can be so competitive because the sense of loyalty matters a lot and that goes sort of a little bit to the childhood. We just discussed that like let's say if you're a Fulham fan you're not going to root for Arsenal just because they won or played in the U Champions League final. But in the United States, uh if uh Lakers are on the top, people are going to say, "Yeah,
55:12I'm I'm fan of Lakers because it's just makes it easier to start conversation." You know, when you think about your own CEO style, what's changed most in AI? It's so important to look at actual signals and actual adoption and having access to raw information. Um I was obviously taught the corporate school of management in the United States. Um and when I look at the CEOs whom um whom I'm
55:45learn from is obviously Jensen, Elon and Nick. Um Nick was on the show. So like obviously like those three are those three they completely abandon all the management principles. They don't necessarily are like fans of like one-on-one and like soft feedback. All of them I think are encouraged like being down to the points knowing the details while it would be called in like corporate America something like micromanagement.
56:14What management principle do you disregard that many people think is important?
56:19I do believe that it's as simple as hire the best people to do the best work and figure out how to retain them.
56:27Everything else is frankly secondary and people just create so much theory around that and and essentially there is just so many like fake rules uh which are disconnect from reality. It's it's really as simple as hire the best people, empower them to do the best work and just figure out how to establish relationship and retain them.
56:47A lot of them bluntly are do see dollar signs. We mentioned the transactional nature of America and secondaries are a part of that. How do you think about doing annual tenders to retain people across our team? Um roughly 50 are in um California. Uh maybe we're going to get to roughly 50 remotes and um over 300s in Kazakhstan. So look, I just hope
57:14we're going to print uh more dollar millionaires in Kazakhstan, in Central Asia, in this part of the world uh than any other company.
57:24I I I do too. Um what's the labor arbitrage on cost between Kazakhstan and the US?
57:32I I know that a lot of people when they look at Hixel, they think about the arbitrage first and foremost like the way is that not true? Look like Kazakhstan is top five in the world in physics.
57:44Like you look at the recent international physics olympiad for high schoolers like they're top five in the world on par with like the United States, China, India and this is also like the core of our team are people who won international competitions in math and physics. Um that's the first part.
58:02The second part is that about Kazakhstan is that they actually took this Soviet school of math but really upgraded with Singaporean principles and Singaporean system of education is considered to be probably the best in the world. At least many people in Silicon Valley believe that. Um and they and the government basically subsidizes for thousand of high schoolers to study abroad and many of these people come back. Um and there is strong desire just and so the just
58:30the density of talents uh definitely got there. It's uh like top 10 largest countries in the world. So over 20 million population and we are also actively hiring bringing their talents from Europe from other countries in Asia and people just enjoy like some benefits like 15% personal income tax. Yeah man, it's like don't even get me started in [ __ ] UK will tax you to breathe. Uh, seriously, it's in the UK, you get your, you know,
59:00paycheck and then it's like, I don't 100,000 and then you get the end and it's kind of like 3,500.
59:07But it's also English common law, so it's not like that bad as people think.
59:11Uh, you move it. Let's swap places. Do you have a mega pad in Kazakhstan?
59:19No, I don't. I don't own any property.
59:23Remember that I come from Asian family.
59:25So um whenever we sold the company, I made over a million dollars and I spent all this money buying apartments for my parents, relatives, my wife parents cuz it's just part of the culture and the f like extended family is not small by any means. Uh but look, it's just part of the culture to give back. And then um when it comes to the family, especially to my parents, they obviously sacrificed a lot. So I I felt like I had to give
59:54back at least at least like things like monetary things which I which I could do but I drive like Tesla Model 3 like and I le so like I I'm not like a guy who's going to just show up with Lamborghini or Porsche.
1:00:09Do you invest? We mentioned solve intelligence. um when before I did that but now I spend roughly 90 hours a week 80 90 hours a week on Hicksfield. I try to spend ideally um at least um 3 hours a week with my wife at least 5 hours a week with my son. Um sometimes I do the catch up
1:00:36because when I travel um for a week, for two weeks, for three weeks, then I try to take Sunday off to spend the whole day with my son. And over the last 3 months, yes, I was able to find one day when I spent like end to end with my son without emails, without talking to without talking to the team members. I get in trouble for this, but I think there's no um shortcut to hard work. The harder I work, the luckier I get. I meet more founders. I find more great
1:01:04companies. I do more shows. I have more success. Do you buy the [ __ ] of the balance and uh oh, it's okay. You can leave at 5 and be home for bath time and crush it. This is a good question. So, look, obviously um being an immigrant, I always have that I have to prove like that I belong, right? So, I hope that I feel like now people accept people recognize that Hicksfield is probably a top 10 um application AI companies by revenue, probably number one. But I
1:01:32think when it comes to um hard work like the people whom we know in common like we we talked about like let's say Peter Salis like legend in the cons in consumer space obviously Jack look I I spent decent amount of time with them and other product leaders at stamp like the density of product talent and stamp was unprecedented all of them work really hard all of them are smart I I
1:01:59like none of them just uh checks emails for five hours a day and and calls it work. Each of them is deeply rooted into the recent trends in product product design activation. They know data really well. So yeah, I don't believe that there is any shortcut to hard work.
1:02:183 hours a week with your wife. Yeah, I don't know about you, dude. Mine would dump me for 3 hours a week. How do you make marriage work on three hours a week?
1:02:32Yeah, look, I'm I'm I'm I'm very um I'm I'm very grateful for my wife for being patient, you know. It's also very different if that's like Asian culture. Uh it's just kind of more natural to try to do sacrifices for each other sort of.
1:02:48Um, and I'm deeply I'm obviously deeply grateful for her for supporting me. But like sometimes at this scale I get invited to parties. I always send her some and don't show up myself. I don't know if I piece people off, but this happens um very frequently.
1:03:05So wait, you say yes and then she goes, "Yeah, I say maybe we both can some come together." Then there is always some urgent fire last minutes and my wife just goes.
1:03:15What fire was most urgent? What was the Oh [ __ ] Yeah. Look, I think obviously for all the things which we touch base earlier whenever we are not very good in communicating the features or we felt like I mean now it's like team of 40 so now the life is way better but early days obviously I was involved in all the fires. Um I think recently um all the types of like attacks on AI companies.
1:03:43It's crazy. It's like it's like LLMs are being used to hack companies. It's like new types of LLMs to do some frauds, you know, like basically bots using credits and then doing auto refunds. All of that. Look, I like since I have like kind of machine learning background myself, data science backgrounds, I still can move a needle substantially when it comes to statistics and data. So yeah, I have to be involved somehow. But
1:04:11like these LLMs, they they amplify many types of behaviors including various types of attacks and fraud, but and we have to fight against that. Uh we're going to do a quick fire around. So I say a short statement, you give me your immediate thoughts. What have you changed your mind on most in the last 12 months?
1:04:30Oh, I was thinking that HubSpot is going to get obsolete. Everyone is going to build their own CRM and but when especially when as we hire and scale B2B go to market team just having familiar interface matters a lot.
1:04:44Wow. I would still say they're going to get [ __ ] You think that just stickiness is there with SMBs?
1:04:51Yeah, I I I do think so. And especially I see that when I hire go to market talents.
1:04:55Wow. Why? Like what is it about hiring them that makes you think that just they're so used to it?
1:05:00I mean like people who are very good in understanding customers and talking to customers they may not just simply accept new interface so quickly and just having HubSpot as a system of records being able if if there is any mismatch going able to just understand where the data flow went wrong. I think that's just still very valuable like the familiarity. What do you believe today that everyone else thinks is [ __ ] crazy? I mean, look, I think uh people just still don't fully appreciate that most of the content on social media is
1:05:28going to be AI generated. There are going to be some shows like obviously yours where it's like authentic contents. It's going to be 10 15x higher CPM whatsoever than AI generated contents. So it's going to be it's going to be way less in terms of like content create by but it's going to create way more value uh than a generated content.
1:05:48But even when I look into your content specifically like you made multiple very successful shorts millions of views better than anyone else in this space and you do a lot of overlay. While the content is authentic, I think we should do better job so that you use Hicksfield at least for the overlay on top of existing videos. Dude, I would love that. I mean, again, they take 3 hours.
1:06:16So, people don't know this. I spend 2 hours a day just doing Instagram. Now, we decided that Instagram short form is going to be a big new push for us. Um, 2 hours a day just for me. I write the scripts and then I record them. And then it's two people, six hours per one for those three.
1:06:33And that's extremely smart of you. Like you know like going back to some of the topics is like clipping is like a huge topic and that's like has its own upsides and downsides. But obviously everyone sees this opportunity to win to build massive top of funnel like hundreds of millions of views with short form content. as long as you can have downstream monetization like or value creation like you do.
1:06:58Totally agree with you. What job today does not exist that will be big in 5 years? Okay. So in 5 years people especially in our space creative directors they are going to be talking to computers and generating stories real time and video and AI is going to help to create multiple variations. Today there is no word to really describe that because there is also there are script writers um there are then uh
1:07:27screenwriters like those who are going to break it down shot by shot then there are people who do that storyboarding then there is like people who person who oversees all of that like movie director and so on. There are so many there are so many there are so many parts of that but eventually taste is going to matter a lot and just having stories to tell there is no word to describe it today.
1:07:52Who do you not have on your board that you would most like to have on your board? Maybe out of like more professional CEOs, I'm definitely Frank Slutman because going back to the point I was just curious all the time, does no [ __ ] culture exist in California or not? Can it allow to scale companies so quickly? Can it is it possible to build successful enterprise go to market motion with no [ __ ] culture? And
1:08:21when I read his ampitab book like book called amp it up, I realized it's possible. So like I'm a huge fan. I watched all his interviews.
1:08:28The challenge with him, he's amazing.
1:08:30He's the best leader by far. But the challenge is you can sometimes do it at the sacrifice of product advancement.
1:08:38And so he built a GTM machine at Snowflake, but data bricks wiped the floor because they move product as the priority, not GTM. And that was dangerous. I preferred Chad Pets. Do you know Chad Pet?
1:08:53Oh, dude. This guy is no [ __ ] I'll introduce you afterwards. He's the best sales leader in the world. Um, and he is no [ __ ] [ __ ] Unbelievable.
1:09:02And we probably should have him on board.
1:09:04Oh my god. I find any way to have him on board. He is terrifyingly good. Um, so what's the biggest lesson from Snap?
1:09:12The momentum doesn't last forever. Um, like today, Snap market cap is is below 15 billion. There are a lot of mimis on the internet, but this is a great company. cares so much about trust and safety and experience and it puts it first.
1:09:24Do you think it is a great company? No offense. It's like it's been mismanaged as [ __ ] Its SBC is through the roof. It's tough to say it's a good company.
1:09:35That's why I say that momentum doesn't last forever. When Snapchat was worth eight $80 billion and the gap with Meta was less than 10x, then it felt, oh, we just go explore. we we just we just really must lean in. Um but momentum doesn't last forever and that's my core learning. So that's why like while we do have the positive momentum, we don't we do not take this for granted. Clearly um like the nature of uh capitalism is there are ups and downs and since we're
1:10:05building long-term, we just should capitalize on the opportunity like with the fundraising and just keep pushing progress every day. What is the reason why the divergence between Meta's market cap and Snap's market cap has increased so significantly if there was one reason? Just maybe saying this trait, a lot of public companies did not figure out their AI story. Um, Snap unfortunately is part of that.
1:10:33We have seen other great companies like Figma trying to tell their story. You mentioned Canva. It's not necessarily easy to be successful in private markets and public markets. And Zach is one of the best CEOs of all time cuz he managed that. He's such a [ __ ] beast. He's such a beast. You watch him last night with the event and you're just like, "Ah, now I get it." Like that totally makes sense. And you know what? Scale
1:11:02with Alex Wang. I was one who was like really like what's gonna he he he basically acquired a second CEO you know Alex is now the CEO of Muse and he's crushed it crushed it. What an effective buy for 0.5% of your market cap. Do you know what I mean?
1:11:24Yeah. Look, but this happens with Instagram with WhatsApp. That's why I'm saying that we just maybe should put Meta a little bit in its own league. Yeah, but he got rid of Cyrum and Kger. Here he's been like, "No, no, no. You, Alex Wang, are my guy."
1:11:41Do you see what I mean?
1:11:43Yeah. The best talent hire.
1:11:45Look, I I do believe that it's a little bit early to look at whole Meta AI initiatives. We probably need to see like year of like successful launches and so on to and then we can look back and see what was good, what was not good. But at least the consistency of storytelling and explaining what he is doing to public investors being able to articulate why Muse is so different um is phenomenal.
1:12:13Revenues are a billion. What are the revenues in 12 months time?
1:12:19Our current business model uh projects uh 4.5.
1:12:26It says by the end of the next year but this basically involves substantial deceleration and that's what like just my finance team like there are couple strong quant people they told me that's just how the business works but look we are still pushing to grow at least 30% month over month what do you think it is they said 4.5 what do you think it is this is me to you not me to your finance team over 10
1:12:52let me tell you why like in a lot of adoption in creative AI space is driven by monetization like all these direct to consumer brands making more ads and also having like the aspirational um cinematic AI content as this inspires creatives to explore the tooling. I it feels to me that Hollywood starts to embrace AI mostly today as a way to as a tool for hybrid production as a just new form of CGI.
1:13:40But the sentiment really shifted from like strictly negative to neutral to slightly negative. And in private conversations, yes, there are maybe more than half of sier talents who is going to say we're anti-AI forever.
1:13:56But increasingly there are more and more people who are actually asking a question. Can we tell more stories with AI? Can we overcome certain budget limitations which existed before? And maybe AI can help to tell new stories which we couldn't tell before. And I do believe this just change in perception that's at least comes from my conversations is extremely is extremely is extremely positive. If you are in a billion today, 10 billion in 12 months.
1:14:25Where do you peg the next fund raise?
1:14:27You know, if you're in a billion, say conservative multiple, you'd be like, you know, 15.
1:14:33Um but if you're hitting 10 next year you're like paying end of year it's like 80. Look we are not chasing just the valuation cuz again the goal is just to make sure that the company can be uh sustainable over the time in public market. So there is a lot of company building to be done beyond just uh chasing the revenue. But I just do believe do you want to be public? Huh?
1:14:55Do you want to be public at some point?
1:14:56Yeah, I do believe that Hixfield has great potential to be bigger than Applain and Shopify because fundamentally like building is one part of that Shopify one layer of infrastructure. Then for coding there is obviously like a cloud, there is codeex but what matters is distribution over the time but distribution matters. You know that this better than any other business that's why we do what we do.
1:15:21Dude, I cannot thank you enough for being so amazing on the show. You've been fantastic. I've loved doing it, you can tell. And you've been an amazing guest. So, I really appreciate you joining me today.
1:15:30Thank you so much. It's a pleasure.
