$1.3B AI CEO: "You ONLY Need 2 People and 90 Days to Build a $1M Business" | Higgsfield Founder

A lot of businesses can really scale to tens of millions of dollars today profitably with AI.

>> This is Alex, founder of Hicksfield, an AI company that hit 200 million annual recurring revenue in just 9 months faster than Slack or Zoom. And what he

told me about starting a business today completely blew my mind. And you can copy his strategy, too.

>> Focus on bringing like the first dollar by day 30 of product developments and maybe 1 millionaire R by day 90. That's

a lot.

>> I just think it's the next industrial revolution. It's probably more powerful

revolution. It's probably more powerful than the internet. For many many young people, AI becomes social elevator.

>> For someone who still has fear like this is moving so fast, I don't know how I can start. Can you give them one piece

can start. Can you give them one piece of advice?

>> First, I would start from >> I have an amazing guest today. I am so excited to learn from you. Let's get

very practical right away. You built

Hicksfield and achieved $200 million in revenue in 9 months. Let's imagine every I don't want this to happen, but let's imagine a scenario when you have to

start from scratch tomorrow and you have 90 days to launch a business idea. From

what you've learned with your experience at Hicksfield, what would you do?

>> I think it all starts with maybe a team of two. Someone who is builder who can

of two. Someone who is builder who can go within 24 hours from idea to a product. And now it all becomes

product. And now it all becomes possible. There are so many uh

possible. There are so many uh databases, there are so many payment systems and so on which simplify creation of MVP. And then someone as I

call it go to market person who has this natural empathy maybe or understanding of the sort of target distribution whom they're selling to and who can come up with interesting kind of new content

formats which can resonate with the target audience on social media. And I think this is a very different skill set from the like marketing roles of the previous decades.

>> And how many times should they be ready to iterate? How many ideas?

to iterate? How many ideas?

>> For example, for us last year we were iterating every day. So it was six uh days a week and um every day we were

putting new product release as we were trying to find workflows and use cases which have high frequency and which matter for our target audience and then

once the technology gets there it's important to develop sort of the workflow which is easy enough but gives enough configuration as well. This

dilemma of the perfect interface is still not solved frankly. So uh this is another reason why we embrace daily iteration. And on top of all of that

iteration. And on top of all of that every month the whole industry resets.

They completely push the boundaries in terms of the capabilities. There are

probably let's say five leading research labs and each lab is pushing massive updates every quarter. So at some months

we have even two major updates and it typically requires to substantially rebuild the whole product around those models. So it's exciting time today cuz

models. So it's exciting time today cuz product builders like ourselves at Hicksfield, we we just try to evolve the product so that it highlights the best

possibilities of these models to our customers. But it's a constant race.

customers. But it's a constant race.

Yeah, it sounds like a very challenging race and I think you mentioned that last year was one of the hardest for you when a lot of things were not working. Can

you talk to me about that one thing that actually worked >> in uh 2024?

We really started from the mobile apps and things were not working well cuz retention for mobile apps is relatively low. Things drastically changed for

low. Things drastically changed for Hicksfield when we started to constantly iterate with creatives and we just asked them very simple question like did you

see this video? This was a cool generate video and they said oh no how is this possible? What's the cost? And we say it

possible? What's the cost? And we say it actually cost maybe less than $500 to make this video. And then we ask did you actually try these models? What's your

experience with AI? Um and obviously everyone tried AI back by by then. Even

by maybe February last year, everyone tried AI but everyone had some issues with that. Back then we realized that

with that. Back then we realized that the core limitation was around camera control. Like a lot of creative

camera control. Like a lot of creative directors they really want to control u all the camera effects, camera angle and so on. Back then there was no system to

so on. Back then there was no system to achieve that. So that uh the initial

achieve that. So that uh the initial traction of hickfield.ai AI came from these camera controls which we implemented on engineering side based on the feedback from creatives.

>> So how many interviews did you have to conduct to come up with this feature?

>> This is a very good question but it kind of puts me on a weak spot frankly cuz we interviewed eight people eight out of eight said the same thing and we talk

from Hollywood level uh movie directors to like regional uh producers of commercials everyone had the same feedback. And how did you select those

feedback. And how did you select those people? Were they customers already or

people? Were they customers already or you just wanted to talk to people in the industry?

>> Actually, this was probably a challenge as we wanted to talk to people who we don't have a very close relationship to just get unfiltered opinion. But the

feedback was very consistent. Everyone

was missing these camera controls. So

that's what we delivered March last year. Then in April, we delivered a

year. Then in April, we delivered a library of visual effects. And then I think in June industry completely changed. we saw the emergence of AI

changed. we saw the emergence of AI native marketing agencies. So essentially those

marketing agencies. So essentially those agencies they completely go end to end with AI and very often they try to bypass incumbent tooling like for

example Adobe or something else and go end to end with AI. On the one side they are very limited cuz

AI capabilities back in June were a little limited. On the other hands, they

little limited. On the other hands, they drastically improve their margin profile and they kind of show their clients that

they can build ads within days. A lots

of brands actually want to have constant content flow on their socials and they want to embrace AI. And then from June to December last year, this um this new

industry of AI native agencies completely exploded. But basically, you

completely exploded. But basically, you said the the start of your growth was the multi- angled uh camera view and it came from talking to people in the

industry. I love that. And also the

industry. I love that. And also the number eight is actually very consistent from what I'm getting uh talking to other founders. It's normally like 12 to

other founders. It's normally like 12 to 20, but it's not too many interviews because I feel like a lot of people think they need to talk to thousands of people to figure out the problem, but it's actually like around 10 interviews.

>> Yeah, absolutely. So eight people who actually helped us to shape the product and then I think we hired four of them.

>> Oh time. Yes. So now we have this feedback loop within the team.

>> That's awesome.

>> And that's how we realized that probably the best products in creative AI is going to be built in symbios like in collaboration between engineers and

between creators. So today roughly half

between creators. So today roughly half of our maybe 40% of the team are um engineers, maybe 40% are creators.

>> Like you said, two founders, right? One

is technical, one knows the consumer.

It's basically reflected in your team.

>> Okay, let's let's get back to that tough year because I feel like for a lot of people that's what they're scared of. So

when you were building this and nothing was really working and then Google releases the new VO model, >> did you ever think about giving up on that particular market and starting something else because this was getting

so crowded?

>> I think we were committed to figure this out. There are two reasons why we had a

out. There are two reasons why we had a conviction. First is that prior to that

conviction. First is that prior to that I was at Snapchat. I was running geni there and I saw the uprise of Tik Tok and kept cap became top five apps in the

world and um it's unprecedented says it's not a messenger it's not a social media and this was a strong signal for me that the

needs of social media creators are simply unmet in the markets and the second reason why we had conviction we constantly heard that creators feel a

burnout from sort of feeling pressure to record multiple videos a day for socials with

their own face. Mr. Beast, he spoke very openly about that. But that's I think the that has been a primary challenge for the whole industry over the last four or five years. And then what was

surprising to me is that advertisers have the same problem. Most of the advertisers talk about like maybe mid-market brands, they can be spending hundreds of millions of dollars on

marketing and they don't have any production team.

>> So, you chose the right part of the market. This is what I'm hearing. So, I

market. This is what I'm hearing. So, I

feel like for every entrepreneur who's watching, uh when you see a big opportunity in the market, you also have to spot who's paying the most, not just go after each user, right?

>> Absolutely. We live in a very interesting um era where all the powerful companies try to give AI to

everyone literally MetaMai, Google, Microsoft OpenAI Anthropic Bidance and many many more. I think each of

those companies want to give AI to all its customers really. That's why

startups have to have more nuanced view of the world and have to have more nuanced set of customers. And I think um

startups today are sort of incentivized to stay cash flow positive and build real business from day zero. This is

what I see across Hicksfield and other top application AI companies. So I think this also creates a very interesting dynamic that the target audience should

be maybe tens of millions of users who are willing to spend hopefully couple thousand dollar a month. So it is not for everyone but the delivered value

should be so strong. So the product should be so good so that it kind of sells itself.

>> I love that. And I love that you have a concrete number $2,000.

>> Yeah. $2,000. uh I'm not sure like with Hicksfield for example this is the core metric which we are tracking like uh how much of the value we believe we provide

which is more like through the user interviews but also how much we charge uh users annually. So this is one key metric and we are not chasing just um

monthly active users for example because the monthly active users number can be inflated through some viral effect monthly active user doesn't really speak to the frequency of the usage and the

value delivered. So that's why for us um

value delivered. So that's why for us um really daily active users and average ACV average contract value those two metrics are the most important ones. One

of the reasons I was so excited to sit down with Alex is that our team has actually been using Hicksfield for a while now. My producers and editors

while now. My producers and editors absolutely love that all the top AI models are in one place. Nana, Banana,

Seance, Cling, Vio, Sora, and I love that they don't need 10 different subscriptions. And it's kind of

subscriptions. And it's kind of incredible. Alex just told us that last

incredible. Alex just told us that last year they were shipping a new product release 6 days a week. And now everyone knows them, but they haven't slowed down. They keep launching new features

down. They keep launching new features and one of the latest ones is Soul 2.0.

Soul 2.0 is Hickfield's own image model and it's not like anything else out there. Most AI image generations, you

there. Most AI image generations, you type a prompt, you get something that looks fine. So, it was built

looks fine. So, it was built specifically for creative work, fashion, editorial, content. It actually

editorial, content. It actually understands aesthetics. You give it a

understands aesthetics. You give it a reference photo and it doesn't just copy it. It reads the lighting, the grain,

it. It reads the lighting, the grain, the mood, the era like a creative director would. There are three models.

director would. There are three models.

So that's the core model. You prompt,

you get a beautiful image with real aesthetic awareness. Soul reference, you

aesthetic awareness. Soul reference, you upload a reference and it generates new images that match the vibe, not just the composition. Same visual DNA, different

composition. Same visual DNA, different shots. And soul ID, you upload 10 or

shots. And soul ID, you upload 10 or more photos of yourself. It learns your face structure, skin tone, expressions.

Then it generates you in any style. Y2K,

editorial, film photography, Polaroid, 20 different presets at launch. And here

is what actually got me. You can specify the camera medium, say shot on Kodak, Portra, or disposable camera, and it changes the grain, the color science, everything. It doesn't slap on a filter.

everything. It doesn't slap on a filter.

It actually shifts the entire feel of the image. And the same thing works with

the image. And the same thing works with color. They just added hex colors, so

color. They just added hex colors, so you can pull the exact palette from any photo and apply it straight to your generations. If you want to try Soul

generations. If you want to try Soul 2.0, I'll leave the link in the description. And now, let's get back to

description. And now, let's get back to Alex. Can you uh give advice to people

Alex. Can you uh give advice to people who are watching who haven't started yet, but they haven't started because they think a large company is going to take over. How should they think about

take over. How should they think about their defensibility?

>> I think each company can really keep their focus on maybe two or three top priorities. Interestingly enough, people

priorities. Interestingly enough, people like to say about anthropic that their major success from MCP and cloud codes actually was not like a top down but

really bottom up and it like cloud code success was not sort of planned and I think it's true that like these large companies they definitely can benefit a

lot from applying top- down approach from two to three initiatives and really consolidating all the resources to make the most progress there. I just think it's the next industrial revolution is

probably more powerful than the internet. So the number of products and

internet. So the number of products and ideas to be built I think just overwways uh uh number of ideas which open AAI or anthropic can push internally. That's

why I would encourage builders to build especially today when like a quite small team of maybe 10 people can build like high scale products. Do you think there's that we have a certain gap of in

time when we can build? So, for example, I've been hearing a lot in social media that we only have two years to build something new because then we're going to have some companies that reach AGI and it's going to be impossible to find

a gap in the market because those companies are going to be filling those gaps.

>> This is a good question. We definitely

make um tremendous progress as a industry to automating work in digital world and for sure maybe next decades

there are going to be a lot of applications of AI in physical world.

It's difficult to forecast how much progress we all are going to make there.

But this decade is definitely the era of digital economy completely changing with with AI. That's for sure. I really don't

with AI. That's for sure. I really don't want to believe in the future when there are going to be maybe three labs who have the best models and these models controlling all the world. This could

happen. That will be very difficult future. So I would I try to stay

future. So I would I try to stay optimistic and encourage everyone to stay optimistic and really focus on building and delivering value. Like for

example um today I just want to give you a very concrete example. So I recently spoke to a very

example. So I recently spoke to a very large very very large like property management company which actually uses

Hicksfield to to sort of advertise their buildings, their uh apartments and so on. Like no one is building for this

on. Like no one is building for this industry. Like in this industry there is

industry. Like in this industry there is a very specific um workflow of a customer like customer needs to learn

about about the property then they need to go to the website and get all the details then they need to call then they need to show up then they leave deposit and the whole customer journey. No one

is actually building solution specifically for this industry to like cover this journey end to end with agents. And the reason why agents are

agents. And the reason why agents are going to deliver lots of value in this specific business is that customers who want to maybe let's say rent apartment

especially in certain price points they want to make a decision rather quickly.

So every day of delay every day of just moving from one stage to another is just is just lost revenue. So, and this business owner just said to me that no

one is building for their industry and and I'm confident there are many more examples like that.

>> Yeah. So, riches are in the niches as as they say from your experience when you pitched VCs with another AI idea. What

makes a pitch stand out these days? I

think today um there is definitely fear that open AAI, Anthropic and other labs are going to just be very acquisitive and uh just trying to expand their

product offering to multiple different verticals. Pretty much every week there

verticals. Pretty much every week there is clo for X launched and stocks go down. That definitely happens and that

down. That definitely happens and that creates a lot of fear. And I would just say that the core insight for me personally was that most of these uh hot

and hyped AI companies they are actually cash flow positive like maybe it is a wrong mindset to go and raise venture

capital today. I think there is plenty

capital today. I think there is plenty of preede capital available today but I'm not sure every everyone needs like to raise series A B C D and so on. How

much revenue did you have when you raised your first round?

>> For me, with Hicksfield AI, it was probably easier because I had a previous exit and we basically raised $16 million

without having um any revenue just with maybe having like million users for our mobile app. But this is not exactly the

mobile app. But this is not exactly the way how I would recommend to build today. I would recommend to focus on

today. I would recommend to focus on bringing like the first dollar by day 30 of product developments and maybe 1

millionaire R by day 90 and then decides if someone needs VC funding or doesn't need. I mean a lot of businesses can

need. I mean a lot of businesses can really scale to tens of millions of dollars today profitably with AI and for such businesses there is no need to attract VC funding. I can give you a

very simple example. So there are so many uh websites we just allowed to make professional fat shoot like for basically for for passport. Many of them make tens of millions of dollars. None

of them are going to be Yeah. None of

them are going to be venture capital backed business.

>> Well, and you said something $1 million by day 90 >> AR meaning like 80K a month.

>> 80K a month in three months. That's a

lot. And so the the playbook to achieve that is basically generate ads and launch them and test whether whether they're landing with your target audience.

>> Paid ads are very difficult today. I

think a lot of distribution come through organic social media and creator integrations >> and just make sure that by day 30 uh

there is monetization in place and then there is a way to constantly grow to a revenue to let's say one millionaire by day 90. Many successful uh companies

day 90. Many successful uh companies scale very quickly today. Just different

verticals have different capacity. Some

in some verticals the ceiling could be just 50 million. In other vertical 1 billion, in other verticals like 100 billion.

>> Any tips on landing first customers in the first 30 days?

>> Initially, at least last year, Twitter has been the social media where the distribution starts from. It starts from like small communities. Then it goes to

AI news pages on X. Then from AI news pages on X, it goes to Instagram news pages. Then from Instagram news pages to

pages. Then from Instagram news pages to creators, then it goes to Telegram and like other social media. That's what we have seen with Hicksfield and with many other products as well that they went

through the same sort of journey of popularity and news through various social media, but it all originated on X. I think now it's being kind of

X. I think now it's being kind of changed today a lot of hype like a lot of companies they sort of try to use X to

boost their products sort of signal to noise ratio just drops Twitter becomes less relevant but still it's it's the main place for new AI products launch

>> that's awesome I'm still trying to crack the the X strategy I feel like if you add a word breaking >> or just in to whatever you're posting staying in the beginning and it should

be in top slug then then it performs >> and then some something should be like clo cooked.

>> Yeah, >> like something like that.

>> Yeah. Just wiped this out of the market.

Yeah. It has to be very sensational and X. But you're so right. I've heard so

X. But you're so right. I've heard so many and I know a lot of creators who build their whole like email newsletter 1 million subscribers just off viral X uh posts.

>> That's amazing. I love this life hack.

Thank you so Although this has been the primary life hack of the 25 and I do believe that the media evolves itself as well. So 26 could be difference.

well. So 26 could be difference.

>> I always see LinkedIn on the rise. So

maybe maybe LinkedIn.

>> Maybe LinkedIn.

>> Your previous company you sold it for 166 million.

Were there any key learnings from that business or mistakes that you made that you will never repeat in this one?

>> It it's it's like never say never. But

one of the key learnings for me and the key takeaways was to embrace meritocracy sort of like

I'm 30 and I feel sometimes that I'm quite old for this new era of AI like a lot of new ideas in Hicksville today

come from these kind of fresh grads maybe 23 25 who sort of maybe never worked in a large company who were doing like freelancing with some VIP coding tools who were doing VIP coding before

the term VIP coding basically and uh they they just think differently and I think that's sort of maybe the right mindset. So traditionally in any like

mindset. So traditionally in any like corporation those people would be just simply no one would just simply listen to them. So and the same applies to the

to them. So and the same applies to the creative role. So there is definitely

creative role. So there is definitely some resistance from people who especially build like let's say like large Hollywood projects that oh AI is

dangerous it's not authentic and in the same time it's really exciting that for many many pe young people AI becomes social elevator and I sort of strongly

relate to that personally cuz for me I had to do a lot of competitive programming you know like who solves more problem within like five hours you know like and everyone in the world

competes. So this was social elevator in

competes. So this was social elevator in 2010 maybe and this applies both to uh creative and to software engineering as well.

>> I love how you said that AI is a social elevator because I feel like social media was the social elevator for me.

Now it's the era >> of AI. I think you mentioned that video models could be a path to AGI and that you're also building a world model. Can

you talk to me about that? And for

everyone who's watching just wanted to explain I was just in Davos and everyone was talking about LLMs having a ceiling because basically just describing our world with words is something that we're

used to and there's a lot of information on the internet but understanding the physics is the next level and once we understand the physics then we're going to have robots walking around our house and doing chores if I'm explaining this correctly.

>> Absolutely. I think Damis from Google and Elon from XEI they started this narrative and definitely they are top

influencers in the space that's why now the narrative goes to masses to everyone it's still unclear if that's sort of the

path to AGI although that's definitely a path to advanced robotic systems like I think Elon proved to the whole world that self-driving cars can work really

well through just cameras and I think uh the same logic is going to apply to more advanced robots as well. That's why

developing perception and visual understanding is critical for next wave of robotics and it's a top priority for a lot of research labs as it's the next frontier and um there is no other way to

improve video generation without visual understanding roughly it takes around I think people like to say that in one minute we can read to 100 words

One minute of the video, it can be described with maybe 10 60,000 words.

There is just so much going on.

>> If you and I were having coffee after this episode, I'd certainly pull out my phone and say, "Look what I tried this week. It changed how my team works. This

week. It changed how my team works. This

is what I do all the time." To share these kinds of things that don't fit into the podcast I started my own newsletter. Every week I write about AI

newsletter. Every week I write about AI tools, strategies and experiments I'm running in my own business with real numbers, real results, templates that you can use and also honest mistakes. If

you want to be in the loop, the link is waiting for you in the description. So

where do you see yourself in two years?

Are you still working on videos or because I saw Menow Ventures announced their investment in you and they they said that Hicksfield is building the next world model. Do you feel like your focus is going to shift to that or you

still going to stick to the marketing with video? I think the diff what

with video? I think the diff what differentiates us from many other is we are from day zero we are focused specifically on short form content and I do think that world model is going to

change the way how social media content is made. So for example next decade is

is made. So for example next decade is going to be the era of interactive media uh basically when games and videos are sort of blurred in like one experience

where like it's kind of choose your own adventure. So a lot of marketing is

adventure. So a lot of marketing is going to go this way especially kind of premium marketing and customer loyalty programs. I think this decade is all about supercharging

creators and marketing with those models.

>> You said you're seeing customers with marketing budget over $und00 million.

90% of their ads are AI generated. As a

creator whose 90% of my revenue is from large corporations through from their marketing budgets, should I be afraid?

This is a good question and um this is definitely where we should make sure that video AI can help personalities

like what I would love to see is that uh creators like you Mr. Beast and so on who are sort of AI native start to make like more channels and just expand their

media presence and be like the whole media empire. So like the next media

media empire. So like the next media empire is going to be built maybe with like 300 people, 500 people uh and be worth like $10 billion. So that's on the

one side. On the other side, what I see

one side. On the other side, what I see personally is that essentially this

highcale AI canon creation comes after uh maybe a platforms like Tik Tok marketplace frankly. So in the past

marketplace frankly. So in the past those brands they could just hire sort of even programmatically thousands of creators through Tik Tok

marketplace just to do kind of these uh templatized videos like I use this product it's all good go buy that so like this entry

levelvel marketing definitely gets democratized although in my opinion as we are seeing a lot of AI slope on social media and so

on uh the genuine connection and and understanding of audience now matters more than ever. So there are going to be just a lot of average and above average

content on the socials. Um and I think this is happening one way or another and just deep understanding of the audience and authentic approach matter more than

ever.

>> Okay. So you think social media ladder social letter is not dead? Definitely

not. I just think that authenticity is going to matter a lot. And and the way how I think about that is if let's say

top creators now can make their own shows, their own movies with AI and creators can drive a lot of traffic.

That's going to affect like streaming business a lot. I think so. I think the revolution is going to come at every level. Although I think clearly people

level. Although I think clearly people who already understand their audience, who have authentic approach, those people are definitely going to be the winners.

>> Okay, my last question for someone who's watching this still has fear like this is moving so fast. I don't know how I can start. I

fast. I don't know how I can start. I

started something today, it's outdated by tomorrow. Can you give them one piece

by tomorrow. Can you give them one piece of advice so they can start? First, I

think I would start from a position that large companies Amazon, Microsoft, Google, OpenAI, Anthropic, I think

they're all relatively well positioned to be winners in AI era as they simply control data centers, GPUs, and so on.

And I'm not sure there is much insurance policy for everyone else regardless, right?

>> Buy their stocks. Yeah, I don't know.

Yeah, just buy their stocks.

>> Yeah, buying their stocks is a good idea, >> but that's I think I'm not sure we can >> investment advice is just personal chat.

>> Yeah, I do think that there is a lot of value in these companies, but I mean for for a lot of others, right? I mean we see the sell off across US we see the sell off across cyber security and then

there is an ultimate question if I want to like basically depend on someone else to figure out AI strategy or I want to embrace AI myself and benefit the most

right I think that's a personal question for everyone and as we all know that these technology revolutions they're both fair and un and unfair I think in

long term every technology revolution is fair and GDP per capita and quality of life goes up on the horizon of 10 years on the horizon of like 3 years I think

it's extremely unfair because market just loves to pour money into companies which are winning and companies which are like not winning they immediately go down

>> but in the short term I think that we it's going to be fair because people um both on the creative side marketing side engineering side those who are embracing

AI, they can propel their careers so quickly. In the end of the day, net it's

quickly. In the end of the day, net it's going to be net positive. Although I

think um individually we all just need to think how I can personally benefit the most from AI, how I can become more efficient with AI, how the value of my

skill set can actually grow with AI. And

um this always require using those um agents and various AI models several hours a day to to build this intuition.

>> Let's give them a home task. What should

they do right after watching this video?

Which tool should they start using and how?

>> For me personally, I am an immigrant.

So, you know, it just takes quite a bit of effort to come with a logical lineer story line. 03 mini became my coach.

story line. 03 mini became my coach.

Really this was the first aha moment for me. The second aha moment was around

me. The second aha moment was around Gemini 3 pro model. So I felt that my economic productivity really depends on like how much I use Gemini 3 model.

These capabilities of the model which can process voice which can make image but which has also deep reasoning capabilities and deep research. This was

mind-blowing to me. So that's why I feel that my just economic throughput really depend on how much I use Gemini 3 today.

>> Do you use it to make decisions about your company like strategic operations?

>> I really feel that communication with humans becomes way more important skill set for

me cuz a lot of other decisions I'm sure Gemini 3 and Claud are going to be better than myself. AI is no is not yet good in communication. So that's where I

think I try to put a lot of my personal emphasis.

>> I think other than that um a lot of process can actually be built with AI.

So um just humanto human communication and sort of conflict resolution and maybe goal set goal setting.

>> Yeah.

>> And like numberdriven goal setting really is where I put a lot of my time my personal time. For everything else, I'm trying to evolve Gemini as much as possible, but also use cloud for Excel,

cloud for X, like for example, cloud for cyber security as it really increases the productivity.

>> Alex, thank you so much. It was amazing.

Uh, I'm looking forward to reading your comments. What was your key takeaway and

comments. What was your key takeaway and what you going to do right after this video?

>> Thank you so much. Thank you.