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Today I'm joined by Perus 
Pulatrac, Software Engineer over

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at booking.com and apparently 
he's a living legend. 

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If you ask anyone about 
hackathons within Booking, 

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they'll point you to him. 
He's actually won a couple or 

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so, and with close to 1000 
engineers participating, that's 

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quite the accomplishment. 
It's one of his main passions 

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and he's going to explain why 
hackathons are valuable for you 

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as software engineers and for a 
company to organize. 

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They even organize hackathons in
their graduate programs and 

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there's a lot of skills you get 
from participating. 

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After this conversation, I'm 
sure you'll want to participate 

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as well. 
So enjoy. 

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Do you do that often? 
Go from an idea and kind of a 

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need where you see there's no 
real good solution. 

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Or even when it's just an 
experiment, you create a tool 

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out of that. 
This is kind of my hobby, So 

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what I'm doing is like each time
I have some sort of idea or 

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problem in my life, it doesn't 
matter what it is, I'm always 

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looking how can I like solve 
this problem for myself and also

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anyone has the similar problem. 
So I did it for multiple 

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applications. 
Some of them are already 

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published, some of them I, I 
didn't publish yet and like it. 

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It could be like, for example, I
created something for 

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appointment Hunter and this is 
what this is like. 

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Getting appointment for some 
government was really 

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challenging for me and I've seen
people struggling and you need 

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to go to the page, refresh and 
refresh and so on. 

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So I said why we spending a lot 
of time doing that? 

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We can just automate it. 
So I did it in like even less 

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than a less than an hour. 
I create an application, it goes

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and does everything for you, 
sending notification when it's 

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done. 
So you can do the same thing. 

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You can enable yourself for the 
job of work that is like you're 

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struggling now. 
And I shared this application 

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and apparently that was super 
interesting for the HR of the 

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company I was working and they 
share it with all people and 

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they were really happy. 
I got a lot of feedback, but 

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that was like hundreds line of 
JavaScript code. 

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So there's nothing really 
challenging, but I could do it 

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like in an. 
So this is my hobby to be 

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honest. 
I even develop games, I develop 

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some application for myself, 
develop even for different 

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technology, not not for the web 
itself, like using Electron, I 

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develop application for 
Macintosh and like other OS. 

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And that's really feasible. 
Like if you know the ground 

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knowledge, you can easily, 
there's no need to go to 

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documentation, right? 
Like before and go and read a 

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lot of documentation, understand
all aspects. 

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You need to know the general 
capabilities of technologies. 

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Then you can easily puzzle that 
up and make what you want. 

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I feel like building and 
creating applications regardless

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of the platform, even seeing 
problems and then trying to find

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a solution in in software, it's 
a real skill. 

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And I'm wondering from your 
perspective, since you say this 

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is a hobby of mine, how do you 
become good at that? 

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I think the best thing to being 
a good at this skill is doing 

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it. 
So it's like you need to try, 

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you need to fail, you need to 
like do it more and more. 

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And I always like, I remember 
the first, first like 

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application I was started, I 
struggled a lot. 

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It was not really working well. 
But I even started this hobby 

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before this AI era. 
So that was more like 

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challenging and time consuming 
for me from the start of this 

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era. 
It was like a really happy time 

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for me to be honest because I 
jumped into the project in a 

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day. 
So I even created one like 

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optimization application for 
myself. 

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I have these printers that you 
have in the stores, thermal, 

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thermal printers. 
And for my daily work, it 

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automatically prints out my to 
do tasks. 

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So I created with JavaScript 
connecting with some server and 

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web hook and just that's patched
everything like in a couple 

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hours and I have like a printer 
everyday prints out my To Do 

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List. 
This is like really like like 

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old fashioned way of doing that.
But I want to just experiment 

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doing different stuff, making 
some crazy and that like this AI

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tools enabled me to do it super 
fast. 

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So I did it like so many things 
like this before, but it took me

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a month or two months sometimes 
to and like your vibe is not 

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always you cannot do it really 
fast. 

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But now when I start, most of 
the time I finish the same day. 

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So it, it doesn't like take more
than one day for me to getting 

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something. 
The production ready stayed. 

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But the code, most of the code 
is right only. 

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So it's not that high quality so
but it works with some because 

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I'm not going to sell those 
product. 

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But this is like MVP. 
But it it enable me and resolve 

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my problem, I can go ahead. 
I also tried to make one of the 

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projects in high quality, so 
that took more time, but I could

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break it down with the help of 
AI with the standard I know like

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each function should be really 
short, like file name, 

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everything. 
I could also do it the same way,

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but it takes way more time and 
you should start it really soon.

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You should not like make the 
product working then switching 

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to change it. 
So it's really horrible. 

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You need to start from the 
ground, don't allow the AI go 

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the wrong way. 
Pluck it and go step by step. 

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It takes more time but the end 
result can be more production 

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ready. 
If you want to sell it, if you 

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want to have something that that
is maintainable later. 

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But this product, most of the 
product I generate is not really

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maintainable, but it does the 
job I want and that's enough for

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me. 
There's no like security really 

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layer in some of them and some 
of them which need security, I 

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have even four or five layer of 
security. 

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Because if if you know it and 
you know, you see this is like a

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challenge for the security can 
already ask AI to do that or you

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need to do it manually. 
Sometimes it's not always good 

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at doing everything to get the 
security. 

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Yeah, that makes sense. 
I mean, this the skill of 

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getting something up and running
in one day or even a few days, 

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it really reminds me of 
hackathons where there's a 

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competition and this is the 
goal. 

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Basically everyone comes 
together either as individuals 

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or as groups that just have 
formed that meet this goal that 

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they have set, and then they 
have a few days to execute on 

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it. 
What has been your experience 

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with hackathons? 
Exactly, I'm passionate about 

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hackathons and in my company I'm
like a symbol of hackathon. 

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You're the man. 
And yeah, like every time 

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speaking with people, they start
talking about hackathons. 

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I even like the one that going 
out from the like representative

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of the company going out and 
speaking about hackathon 

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universities as well, because 
this is like really my really 

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real passion. 
So that's the same same reason 

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because this comes from my hobby
that is generating something and

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like ideating, solving the 
problem and that goes to the 

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hackathon as well. 
And I found like the opportunity

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in my company also to having 
these availability to having 2 *

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a year hackathons. 
And I've done a lot of crazy 

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project in hackathons, which I'm
really proud of because the end 

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result was not only in the 
hackathon, I could like get 

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something out to the world and 
like get real result out of 

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that. 
And that was really interesting.

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I didn't know that it's really 
even possible in the past that 

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you can do something hackathon 
and at the end you get something

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real life out there. 
You have an example of what you 

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built in the hackathon and what 
made it in the product. 

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Exactly, I have quite a few 
example. 

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I can start with the one of 
them, which was the start of the

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ChatGPT era. 
We, we formed A-Team to create 

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the agent. 
So our mindset was to having 

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something like before that we 
had some people, you go there 

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and just they manage everything 
for, for your trip. 

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I wanted to create the same 
thing with the AI. 

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That was really like crazy idea 
at that time because our company

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like booking.com is huge. 
So it's you cannot easily attach

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everything to the like simple 
agent. 

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So we started with the 
attraction only. 

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So to look into the attraction, 
we created the hackathon and we 

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started working on that. 
And what we did was to create an

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agent that you can chat and it 
owes already encrypted with the 

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generative UI. 
And it could generate UI for the

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list and show you show you a 
list of item. 

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Then you can buy or select, add 
to your like selections or save 

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it as like a bookmark and so on.
Then you can ask question about 

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your whole trip. 
So for example, say you are in 

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Paris and you want to do all 
activities, restaurant and some 

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of them even not available at 
booking.com but you want to plan

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it, you want to have itinerary 
for yourself. 

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So the idea was to discuss, ask 
questions. 

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So you can say I have like with 
two children, a dog and like 

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these circumstances, it can be 
even complex circumstances and 

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it's not even easy for human or 
everyone to manage that. 

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But AI can easily break down. 
And also we created something 

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like vector database to search 
through all availability that we

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have and serve better result for
people. 

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It was just for the attraction. 
And that was quite nice 

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experience for me that we 
developed something crazy. 

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There was even no, that time I 
remember Open AI, there was like

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API for open AI, but the ChatGPT
quality was different between 

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different with the API that we 
had available globally. 

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So what we did was to creating a
wrapper over the ChatGPT and 

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like a hacking, hacking way of 
getting access to ChatGPT 

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because the quality was better. 
We wanted a really high quality,

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high quality LLM to analyse 
everything that we had because 

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hallucination was really a thing
that time and now it's way 

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better than before. 
Then we even learn prompt 

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engineering throughout the 
process. 

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So the, the, IT was like a lot 
of learning in in a week and 

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that's crazy learning and 
applying. 

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And the other end of the day, we
also won't. 

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It was really, really nice 
feeling as well. 

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So also encouraged me, OK, I 
should like to spend more time 

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focusing and looking for 
different ideas. 

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And the main important thing I 
also mentioned is this is not 

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ending when you won't or finish 
the process. 

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It's just a start. 
Like the company has started a 

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huge team over the idea and many
other people started to develop 

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the same thing, but with the 
standard approach. 

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Because the Hackerton code is 
not reusable, it's right only 

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again. 
And they started to form a team 

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and develop and now we have AI3 
planner already developed and 

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available in many regions. 
And I'm super proud that I like 

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started this fire and now it's 
like helping a lot of people. 

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And this is really, really great
feeling that I also had with my 

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small project, like personally, 
now I can do it in a larger 

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scale. 
I'm super happy and really, 

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really nice. 
That's really amazing. 

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I mean only the fact of booking 
has thousands of engineers and 

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if they all get twice a year 
time to execute on projects like

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this and the really good ideas 
get follow through and actually 

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make it in the product, that is 
such great fulfilment. 

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It's incredible. 
Exactly, I last time I can 

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mention it was it was like 
around 900 people involved. 

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Yeah, in the hackathon. 
And that was a lot. 

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If you walk into the office, see
the why people like drawing 

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something on the whiteboard, 
like discussing. 

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And this is not only about like 
one role in to hackathon. 

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You can easily switch roles and 
you can experiment. 

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For example, if you like to be 
engineering manager and you are 

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engineer in the hackathon there 
there's opportunity to go to the

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role and practice and see if you
are really good at it. 

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Yeah, or data engineering, any 
other role, anything that's not 

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what you're doing. 
This is a really good moment to 

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go to the like different role 
and see if you like it or not. 

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So this is really also a really 
good point for the hackathon. 

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So it's not just engineering 
that participates. 

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Exactly 1 of the project I can 
mention that was like around we 

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were around 12 people in the 
team. 

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That was a really huge team for 
that project. 

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And we had SEO engineer, data 
analysis, MLPM, EM, all 

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different roles even copywriter.
First I was like thinking, is 

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that even needed for like what? 
Are they going to do? 

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What they're going to do. 
But at the end of the day, I've 

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seen each of them has a crucial 
like point about everything we 

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do. 
And we, we have really nice, 

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like, copywriter giving us right
wording for the advertisement, 

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for the landing pages, for 
whatever we create. 

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And the quality at last was like
killing quality. 

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So it was like no brainer for 
the team to say, OK, you are the

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winner. 
Yeah. 

233
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And that that time was I 
realized what is the value of 

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these like rows and I learned a 
lot about different rows, what 

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is like their mindset. 
I didn't know about SEO, how 

236
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they're going through these 
steps, how did they find 

237
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keywords and other, other stuff 
around it. 

238
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But this is a great learning if 
you are, if you're not really 

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happy with what you're doing, 
This is also a good moment to 

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see other opportunities, what 
there are people doing. 

241
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If you are interested in you can
jump into the different role and

242
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you can transition also as well.
Yeah, I really like how you make

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the most out of the opportunity,
not just from an idea sense, but

244
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from a learning perspective. 
Learning how to collaborate with

245
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people that you otherwise will 
never speak kind of in your 

246
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day-to-day and seeing and kind 
of gaining empathy for their 

247
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perspective and what they're 
greater and see how that fits in

248
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a product. 
I only see upsides basically. 

249
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I also participated in a 
hackathon, Xavier. 

250
00:14:13,520 --> 00:14:17,400
We get a one day every other 
month, which is great, but it's 

251
00:14:17,400 --> 00:14:19,200
only one day. 
And then usually you do like a 

252
00:14:19,200 --> 00:14:21,480
proof of concept, you try and do
as much in one day. 

253
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And then my previous experience 
at a previous client, it was 

254
00:14:24,720 --> 00:14:28,080
like a 2 1/2 day thing. 
We formed a group and I was 

255
00:14:28,080 --> 00:14:30,440
like, OK, this is going to be 
fun because I never get more 

256
00:14:30,440 --> 00:14:32,520
than one day. 
So we can actually do a lot more

257
00:14:32,520 --> 00:14:34,520
now. 
And I had this one person who's 

258
00:14:34,520 --> 00:14:37,000
team captain, he was like, I've 
done many hackathons, I've done 

259
00:14:37,000 --> 00:14:40,000
like 40. 
OK, we're going to decide idea 

260
00:14:40,000 --> 00:14:41,960
we're going to have he had 
things time framed. 

261
00:14:41,960 --> 00:14:45,160
He really was the one that kept 
everything on track, make sure 

262
00:14:45,160 --> 00:14:48,760
people made good trade-offs, 
were practical, also delivered 

263
00:14:48,760 --> 00:14:51,840
and executed and didn't just 
overthink or overanalog. 

264
00:14:52,760 --> 00:14:55,000
And I think that is really what 
I needed. 

265
00:14:55,960 --> 00:14:59,600
Exactly, so I wasn't that 
person, but I tend to be that 

266
00:14:59,600 --> 00:15:01,960
person. 
So now I am the person that you 

267
00:15:01,960 --> 00:15:04,000
mentioned. 
So I'm when I the first day, I 

268
00:15:04,000 --> 00:15:06,880
always like gather all team. 
We need to have a strategy. 

269
00:15:06,880 --> 00:15:09,640
We need to look into the people 
that we are like presenting to. 

270
00:15:09,920 --> 00:15:13,640
So even list of people that are 
like in the jury, what is their 

271
00:15:13,640 --> 00:15:15,480
mindset? 
What we should target 

272
00:15:15,480 --> 00:15:17,280
everything. 
So this is like selling the real

273
00:15:17,280 --> 00:15:19,600
product out there. 
So if you want to sell your 

274
00:15:19,600 --> 00:15:22,760
product, you need to look at the
customer who is going to like 

275
00:15:22,760 --> 00:15:26,560
assess my product. 
You need to like or like 

276
00:15:27,600 --> 00:15:31,400
engineering the process and not 
just OK, my idea is good, I 

277
00:15:31,400 --> 00:15:35,240
develop it. 
You need to do it like like to 

278
00:15:35,240 --> 00:15:38,640
the point and develop something 
and especially for the demo, 

279
00:15:39,160 --> 00:15:43,480
like demo is a really real 
crucial part of the hackathon 

280
00:15:43,800 --> 00:15:46,560
and you need to nail it. 
And she's not like you have a 

281
00:15:46,560 --> 00:15:50,280
great product, sit it there and 
just your presentation is tool 

282
00:15:50,280 --> 00:15:52,640
page and you cannot represent 
what you've done. 

283
00:15:52,640 --> 00:15:55,840
What is the like crucial value 
behind it For one of the 

284
00:15:55,840 --> 00:15:59,480
hackathon, we even created like 
a production ready videos like 

285
00:15:59,960 --> 00:16:02,960
even we interviewed with some 
people out outside of the 

286
00:16:02,960 --> 00:16:06,800
company. 
So if we like attached a lot of 

287
00:16:06,800 --> 00:16:10,200
like content and to make it 
tangible and also we look into 

288
00:16:10,200 --> 00:16:13,240
the feeling of people when you 
create something, you need to 

289
00:16:13,240 --> 00:16:16,200
also touch their feeling. 
It's not like, OK, my product 

290
00:16:16,200 --> 00:16:18,800
does this good. 
You need to touch the feeling. 

291
00:16:18,800 --> 00:16:21,920
So you need to go through the 
all aspect of a real company 

292
00:16:21,920 --> 00:16:25,120
that when you're selling a small
start up, this is exactly the 

293
00:16:25,120 --> 00:16:27,200
same as selling 1 hackathon 
project. 

294
00:16:27,560 --> 00:16:31,080
You need to go through the same 
steps and just think like that. 

295
00:16:31,080 --> 00:16:34,400
Then it changes everything and 
all people are getting energy. 

296
00:16:34,400 --> 00:16:38,120
OK, we have it like mindset now 
we can go to this and then the 

297
00:16:38,120 --> 00:16:42,360
brainstorming coming and people 
like sharing their expertise. 

298
00:16:42,360 --> 00:16:45,160
We had some people OK, I have a 
a really good expertise in 

299
00:16:45,160 --> 00:16:47,440
narration. 
I can narrow like create a high 

300
00:16:47,440 --> 00:16:49,320
quality narration for the 
videos. 

301
00:16:49,320 --> 00:16:53,560
So what we we created at the end
of the day even was amazed of 

302
00:16:53,560 --> 00:16:56,680
the quality because so OK, I am 
really good at editing video. 

303
00:16:57,040 --> 00:17:01,520
So they were like like PMEMS but
they had some expertise. 

304
00:17:01,600 --> 00:17:05,440
They can just turn it into the 
project and make really the most

305
00:17:05,440 --> 00:17:07,839
out of the project. 
I think that's gold, like 

306
00:17:07,839 --> 00:17:11,440
treating your hackathon project 
like a mini startup, seeing what

307
00:17:11,440 --> 00:17:13,960
you have in people and 
leveraging whatever creativity 

308
00:17:13,960 --> 00:17:17,040
they have to execute and tell a 
story and not just create 

309
00:17:17,040 --> 00:17:20,520
software, but also sell it to 
whomever is judging you or 

310
00:17:20,520 --> 00:17:22,640
whomever the audience is. 
Exactly. 

311
00:17:22,640 --> 00:17:25,400
That's fantastic. 
That makes it a lot more like I 

312
00:17:25,400 --> 00:17:28,600
get super excited hearing you 
talk about that environment. 

313
00:17:29,200 --> 00:17:31,720
It's really cool that you get 
time from work to do that. 

314
00:17:31,720 --> 00:17:34,240
Have you also seen that outside 
of company settings like 

315
00:17:34,240 --> 00:17:37,280
hackathons that are organized by
communities that have the same 

316
00:17:37,280 --> 00:17:40,440
vigor? 
I can say 1 is still is still 

317
00:17:40,440 --> 00:17:44,200
inside but it's like we have for
the graduates. 

318
00:17:44,560 --> 00:17:48,880
So we have same setup for 
graduate, but it is not one 

319
00:17:48,880 --> 00:17:52,640
week, it's 4 weeks. 
So it is even you have even more

320
00:17:52,640 --> 00:17:57,280
time and that is super amazing 
because I'm a mentor of those 

321
00:17:57,600 --> 00:17:59,600
program. 
I'm aware of all the steps that 

322
00:17:59,600 --> 00:18:02,640
happens. 
So past year it was like 4. 

323
00:18:02,640 --> 00:18:05,840
You have 4 weeks, you join as a 
graduate, you don't know 

324
00:18:05,840 --> 00:18:08,760
anything about like working at 
the company. 

325
00:18:08,760 --> 00:18:10,920
You just jump out of the 
university. 

326
00:18:11,600 --> 00:18:15,200
We want you to know everything 
after months. 

327
00:18:15,400 --> 00:18:18,680
So this is a hackatone you when 
you join to the first day, you 

328
00:18:18,720 --> 00:18:20,960
enter to one of the idea. 
So it's like joining to 

329
00:18:20,960 --> 00:18:23,680
hackatone. 
You form a team and start 

330
00:18:23,680 --> 00:18:27,760
working on the on your project. 
And each week we do, we'll have 

331
00:18:27,760 --> 00:18:29,880
some specific goals. 
For example, first week you 

332
00:18:29,880 --> 00:18:32,920
learn agile, you learn how to 
work and collaborate with the 

333
00:18:32,920 --> 00:18:35,960
teams. 
Second week you do front end or 

334
00:18:35,960 --> 00:18:39,360
back end and 3rd, 3rd week you 
do front end. 

335
00:18:39,960 --> 00:18:43,200
And last week you just form it, 
create demo and present it. 

336
00:18:43,600 --> 00:18:45,840
So these like step by step 
process. 

337
00:18:46,360 --> 00:18:49,160
It's like a month that you have,
but it's super intense. 

338
00:18:49,600 --> 00:18:51,240
You need to learn a lot of 
things. 

339
00:18:51,240 --> 00:18:53,960
Yeah, imagine you don't know 
Java, you need to learn it and 

340
00:18:53,960 --> 00:18:56,880
you need to do it as well. 
So with the other help of AI, 

341
00:18:56,880 --> 00:19:01,280
it's a bit faster and easier. 
But in something we do not even 

342
00:19:01,280 --> 00:19:05,880
allow them to do, do AI to to 
try and struggle and know the 

343
00:19:05,880 --> 00:19:09,160
value of the stuff, understand 
and know the technology. 

344
00:19:09,160 --> 00:19:11,040
What is the right way of doing 
that? 

345
00:19:11,400 --> 00:19:15,080
Then later this tool can enable 
you to do that like faster and 

346
00:19:15,080 --> 00:19:18,000
so on. 
But that was really amazing 

347
00:19:18,000 --> 00:19:23,160
opportunity for people. 
And I was mentor of 1 mentor of 

348
00:19:23,160 --> 00:19:25,040
one team. 
I've seen the first day they 

349
00:19:25,040 --> 00:19:30,440
struggle even to speak together,
but last day of the week, after 

350
00:19:30,440 --> 00:19:33,520
like learning sessions and 
process that we had, they were 

351
00:19:33,520 --> 00:19:37,120
really close to each other. 
They like challenge each other, 

352
00:19:37,120 --> 00:19:40,400
they discuss really critical 
stuff with each other and that 

353
00:19:40,440 --> 00:19:42,600
this is exactly what we want as 
a company. 

354
00:19:43,000 --> 00:19:46,840
After a month, if you join to a 
team, you have almost no 

355
00:19:46,840 --> 00:19:48,720
onboarding. 
You already know all technology 

356
00:19:48,720 --> 00:19:53,080
at the company, you already 
enable yourself using everything

357
00:19:53,080 --> 00:19:55,440
that you probably use later in 
your team. 

358
00:19:56,120 --> 00:19:58,920
And this is going to reduce the 
onboarding process. 

359
00:19:58,920 --> 00:20:02,920
And the feedback we got from the
engineer managers was amazing. 

360
00:20:02,920 --> 00:20:06,080
They were really amazed with 
people that Giant just joined 

361
00:20:06,080 --> 00:20:09,200
from the university with that 
level of understanding of the 

362
00:20:09,200 --> 00:20:12,440
teamwork and like collaboration 
with the other people. 

363
00:20:13,040 --> 00:20:16,840
And that was one of the example 
I can say some sort of external 

364
00:20:17,480 --> 00:20:20,200
which was really nice. 
Yeah, interesting. 

365
00:20:20,640 --> 00:20:22,680
This for me is fascinating 
because I've also seen the 

366
00:20:22,680 --> 00:20:25,760
industry trend of we don't need 
junior engineers anymore. 

367
00:20:25,760 --> 00:20:27,800
We have AI that does that, even 
automate it. 

368
00:20:27,800 --> 00:20:30,440
And then our seniors, they 
review PRS and stuff like that. 

369
00:20:30,960 --> 00:20:33,840
But the fact that you have 
junior programs and graduate 

370
00:20:33,840 --> 00:20:37,160
programs and people come in, 
they execute for four weeks and 

371
00:20:37,160 --> 00:20:39,800
then they have real praise from 
engineering managers on that 

372
00:20:39,800 --> 00:20:43,280
level is fantastic. 
Exactly, I'm completely against 

373
00:20:43,280 --> 00:20:47,600
this idea because what I've seen
as a result, like I was working 

374
00:20:47,600 --> 00:20:51,400
directly with them, I was like 
mentoring them daily. 

375
00:20:51,800 --> 00:20:56,080
What I've seen they are really 
great and we need it like we 

376
00:20:56,080 --> 00:21:00,040
need juniors because they, they 
come from like university, they 

377
00:21:00,040 --> 00:21:02,920
have fresh mind. 
We even had juniors that coming 

378
00:21:02,920 --> 00:21:05,920
from university and they had 
like measured in LLM. 

379
00:21:05,920 --> 00:21:08,560
So they have like top knowledge 
about LLM. 

380
00:21:09,040 --> 00:21:12,920
We want them because if they we 
move them to to the right team, 

381
00:21:12,920 --> 00:21:15,600
they can like perform 10 times 
better than other people. 

382
00:21:15,600 --> 00:21:18,480
They do not know, do not know 
anything about LLM, for example.

383
00:21:19,160 --> 00:21:22,640
And throughout this process we 
could like enable them in a 

384
00:21:22,640 --> 00:21:25,200
month. 
So I don't think it's still like

385
00:21:25,200 --> 00:21:27,840
they're not valuable. 
They're super valuable and they 

386
00:21:27,840 --> 00:21:30,560
could like perform really well. 
So I know a lot of them. 

387
00:21:30,560 --> 00:21:34,880
I'm now friend with them. 
I wasn't their mental, but 

388
00:21:34,880 --> 00:21:36,600
they're really performed really 
well. 

389
00:21:36,600 --> 00:21:39,560
And all people even like 
engineers are amazed. 

390
00:21:39,560 --> 00:21:42,160
Is that really a graduate that 
joined our team? 

391
00:21:42,160 --> 00:21:45,600
They're really good and they can
perform really well and with the

392
00:21:45,600 --> 00:21:50,000
help of AI, if they're using it 
the right way and first go 

393
00:21:50,000 --> 00:21:53,120
through the understanding of the
factors, not jumping into the 

394
00:21:53,120 --> 00:21:57,240
conclusion, they always can have
a proper result as well in 

395
00:21:57,240 --> 00:21:59,920
consultation with the other 
seniors around them. 

396
00:22:00,080 --> 00:22:03,120
Yeah, sounds like a lot of fun. 
Like if I could go back in time,

397
00:22:03,120 --> 00:22:05,000
I would have loved to join a 
graduate program. 

398
00:22:05,000 --> 00:22:06,040
Like this? 
Definitely. 

399
00:22:06,040 --> 00:22:08,400
Sounds like so much fun. 
Exactly how many people are 

400
00:22:08,400 --> 00:22:11,000
usually in the graduate program 
that do this for a week? 

401
00:22:11,920 --> 00:22:16,440
Last time was like 770. 70 Yeah,
that's incredible, yeah. 

402
00:22:16,720 --> 00:22:20,400
Really huge amount of people and
they're really crazy with the 

403
00:22:20,400 --> 00:22:23,840
idea they have a fresh mind. 
They come up with their own 

404
00:22:23,840 --> 00:22:26,040
ideas. 
There's some sort of like ground

405
00:22:26,040 --> 00:22:29,520
ideas coming from the product 
managers because you don't want 

406
00:22:29,520 --> 00:22:35,080
to just like put their like what
they do just they want to apply 

407
00:22:35,080 --> 00:22:38,400
something into it and they want 
to use those projects and they 

408
00:22:38,400 --> 00:22:41,920
want we want to treat it as a 
like production product to make 

409
00:22:41,920 --> 00:22:45,440
them also like doing something 
serious, not just OK, I'm going 

410
00:22:45,440 --> 00:22:47,240
to do it and they're going to 
just delete it. 

411
00:22:47,240 --> 00:22:49,240
At the end of the day, this is 
not the case. 

412
00:22:49,240 --> 00:22:51,760
You want to make them more 
serious like this is something 

413
00:22:51,760 --> 00:22:53,240
that we're going to use it 
later. 

414
00:22:53,240 --> 00:22:56,240
So they are mostly OK. 
The algorithm should be like 

415
00:22:56,240 --> 00:22:58,400
this. 
And so the discussion changes 

416
00:22:58,400 --> 00:23:02,360
when you note the thing that 
your looking is seriously going 

417
00:23:02,360 --> 00:23:06,440
to be used later. 
But they have like capability to

418
00:23:06,440 --> 00:23:09,360
change it to to what extent they
want because they can add a new 

419
00:23:09,360 --> 00:23:12,360
feature, they can change the 
direction, but the main goal is 

420
00:23:12,360 --> 00:23:14,720
like already defined. 
You want to have something with 

421
00:23:14,760 --> 00:23:16,920
XYZ, but you can do whatever you
want. 

422
00:23:17,280 --> 00:23:19,880
So there's no limit into the 
functionality and features. 

423
00:23:19,880 --> 00:23:22,480
They can just come up with the 
crazy ideas if they can 

424
00:23:22,480 --> 00:23:25,760
implement it. 
I feel like that is very smart 

425
00:23:26,280 --> 00:23:27,600
and I don't know if I've heard 
that before. 

426
00:23:27,600 --> 00:23:31,040
Like if I think of hackathons, 
it's usually you have a theme 

427
00:23:31,040 --> 00:23:33,960
and you can do whatever you want
within that theme, but if you 

428
00:23:33,960 --> 00:23:36,120
are creating something and 
there's a chance that it will be

429
00:23:36,120 --> 00:23:38,400
used in the eventual product, 
you act differently. 

430
00:23:38,880 --> 00:23:41,400
I think that's very smart, 
especially for a product company

431
00:23:41,680 --> 00:23:43,720
to say, OK, these are our 
products and product managers 

432
00:23:43,720 --> 00:23:45,760
have thought of these ideas. 
You can bring in your own or you

433
00:23:45,760 --> 00:23:49,120
can participate in this and then
it might actually contribute and

434
00:23:49,120 --> 00:23:50,400
benefit. 
Usually when you're talking 

435
00:23:50,400 --> 00:23:53,320
about hackathons, if you talk to
the wrong people, they see it as

436
00:23:53,320 --> 00:23:55,920
a cost, right? 
What do you mean 3 days? 

437
00:23:55,920 --> 00:23:57,760
People don't work and they just 
play around what? 

438
00:23:57,760 --> 00:24:00,320
What is the benefit? 
Basically, you can say something

439
00:24:00,320 --> 00:24:03,160
vague with regards to knowledge 
sharing and learning, stuff like

440
00:24:03,160 --> 00:24:05,840
that, but if in the end there's 
something tangible that comes 

441
00:24:05,840 --> 00:24:08,240
out of it that we can actually 
put to production and has 

442
00:24:08,240 --> 00:24:10,080
business impact. 
Exactly. 

443
00:24:10,080 --> 00:24:11,720
And all of a sudden you're like,
oh, that's interesting. 

444
00:24:11,920 --> 00:24:15,000
Yeah, what what like what the 
booking does is like goes from 

445
00:24:15,000 --> 00:24:17,560
the other side, it's sending a 
message to all PMS. 

446
00:24:17,560 --> 00:24:20,760
Do you have anything you need 
and you do not have capability 

447
00:24:20,760 --> 00:24:24,360
of doing that. 
So they're listing those up and 

448
00:24:24,360 --> 00:24:25,960
then they're looking into the 
items. 

449
00:24:25,960 --> 00:24:29,080
OK, which one is more suitable 
for these people that are coming

450
00:24:29,440 --> 00:24:33,560
because the project itself built
with the like mentorship. 

451
00:24:33,560 --> 00:24:35,640
It's not like they're developing
by themselves. 

452
00:24:35,640 --> 00:24:38,640
There's a mentor always looking 
into the all process. 

453
00:24:38,960 --> 00:24:42,320
So the quality, the the output 
is really high, the quality of 

454
00:24:42,320 --> 00:24:46,560
the output and they cannot be 
used directly, but they are 

455
00:24:46,560 --> 00:24:50,840
really ground like floor for 
developing a real like 

456
00:24:51,200 --> 00:24:55,280
production ready product out. 
So we're using high tech, the 

457
00:24:55,320 --> 00:24:58,960
high technology and like cloud 
and everything that you're using

458
00:24:58,960 --> 00:25:02,560
daily because you want them to 
experience what they're they're 

459
00:25:02,560 --> 00:25:05,560
trying to do later. 
So they're like small amount of 

460
00:25:05,560 --> 00:25:09,400
experience before jumping into 
real work and you experience 

461
00:25:09,400 --> 00:25:12,040
everything. 
Like we try to allow them to 

462
00:25:12,040 --> 00:25:16,160
experience all aspects because 
in large, large organizations, 

463
00:25:16,160 --> 00:25:19,080
you may go to a team that you 
have like working only a 

464
00:25:19,080 --> 00:25:23,040
specific on a specific feature. 
So you do not allow to work on 

465
00:25:23,040 --> 00:25:25,560
everything. 
But we want them to already 

466
00:25:25,560 --> 00:25:28,600
experience everything. 
Different aspects of the like 

467
00:25:28,600 --> 00:25:32,480
software engineering and some of
them even rotate into different 

468
00:25:32,480 --> 00:25:35,800
teams, like 6-1 to the team one 
and six one to team 2. 

469
00:25:35,800 --> 00:25:39,200
Because if we want to want them 
to have exposure to different 

470
00:25:39,240 --> 00:25:42,320
aspect of the product because 
it's too big and at least a lot 

471
00:25:42,320 --> 00:25:46,480
of stuff to learn. 
And this is like a really ground

472
00:25:46,480 --> 00:25:49,200
learning process. 
And then they jump to the like 

473
00:25:49,280 --> 00:25:53,000
2-6 months process that they, 
they will rotate into different 

474
00:25:53,000 --> 00:25:56,200
teams and learn more and more. 
And after that they they get 

475
00:25:56,840 --> 00:26:01,280
automatic promotion and then 
they'll go to the real life team

476
00:26:01,280 --> 00:26:05,440
and stop like stay in one team. 
And this process I think is 

477
00:26:05,440 --> 00:26:08,960
really a smart design, has a 
really smart design that you 

478
00:26:09,320 --> 00:26:12,760
like stop drum intense when the 
first day that you work at the 

479
00:26:12,760 --> 00:26:15,480
team, you feel like, OK, this is
a relief for me. 

480
00:26:15,800 --> 00:26:19,480
So, but they learned a lot. 
So the process, they're learning

481
00:26:19,480 --> 00:26:23,480
a lot and they learn not only 
for hard skill, but we had huge 

482
00:26:23,480 --> 00:26:27,120
focus on the soft skill and 
agile and like teamwork. 

483
00:26:27,600 --> 00:26:30,080
So we have so many more 
programming, like per 

484
00:26:30,080 --> 00:26:33,120
programming, so, so many things 
that to connect them with with 

485
00:26:33,120 --> 00:26:36,880
each other and know how to work 
with each other in real, real 

486
00:26:36,880 --> 00:26:37,680
life. 
Yeah. 

487
00:26:38,280 --> 00:26:40,160
And that's really important. 
Yeah, interesting. 

488
00:26:40,720 --> 00:26:42,800
And you've been in many 
hackathon teams and you've 

489
00:26:42,800 --> 00:26:45,640
mentored graduates that also go 
through this process. 

490
00:26:46,120 --> 00:26:48,120
What are some of the things that
people struggle with with 

491
00:26:48,120 --> 00:26:51,200
regards to executing and 
delivering and kind of reaching 

492
00:26:51,200 --> 00:26:52,520
the goal that they set for 
themselves? 

493
00:26:52,520 --> 00:26:55,200
Is it planning? 
Is it actually teamwork or 

494
00:26:55,200 --> 00:26:57,040
execution? 
What is usually a challenge? 

495
00:26:57,520 --> 00:27:01,280
One of the challenge I've seen 
is when, when you open like the 

496
00:27:01,360 --> 00:27:06,360
capability of the new features, 
they may like aim for the really

497
00:27:06,360 --> 00:27:09,680
high and they cannot reach it. 
So they, they do not know how to

498
00:27:09,680 --> 00:27:13,440
easily break down the challenges
to the small challenges and go 

499
00:27:13,440 --> 00:27:16,600
step by step. 
Sometimes they aim really high 

500
00:27:16,600 --> 00:27:18,880
and they cannot even reach it. 
So they're disappointed, they 

501
00:27:18,880 --> 00:27:22,960
change direction and so on. 
So as a mentor, what I do is 

502
00:27:22,960 --> 00:27:27,640
always sit first, sit and look. 
They're struggling. 

503
00:27:27,640 --> 00:27:32,280
So I do not like jump in. 
You need to wait and see or how 

504
00:27:32,280 --> 00:27:34,680
they're struggling. 
What is their then you need to 

505
00:27:34,680 --> 00:27:36,960
guide them, not even directly 
give them the answer. 

506
00:27:36,960 --> 00:27:39,160
And what if we do this And what 
if we do that? 

507
00:27:39,160 --> 00:27:43,320
So this way you help them in 
order to think that way and go 

508
00:27:43,320 --> 00:27:46,000
ahead and figure out the 
solution by themselves. 

509
00:27:46,480 --> 00:27:50,560
So I, I, when I just guide them 
through the, these challenges, 

510
00:27:50,560 --> 00:27:52,520
they end. 
OK, We should do it like small 

511
00:27:52,520 --> 00:27:55,280
by step by step. 
We should break it down if and 

512
00:27:55,280 --> 00:27:59,040
then they managed to do it. 
And that was one of the thing 

513
00:27:59,040 --> 00:28:00,960
I've seen. 
And the other thing was more 

514
00:28:00,960 --> 00:28:04,880
about the collaboration, the the
issue that he had, they had they

515
00:28:04,880 --> 00:28:07,560
didn't know how to collaborate 
well with each other. 

516
00:28:07,600 --> 00:28:12,160
Everyone was really great solo, 
but they couldn't work together.

517
00:28:12,160 --> 00:28:15,720
They couldn't enable each other 
and that was also something that

518
00:28:15,720 --> 00:28:19,200
we were working a lot on on the 
process to enable them. 

519
00:28:19,200 --> 00:28:22,400
We did like more programming is 
one of the thing that starts and

520
00:28:22,400 --> 00:28:25,920
breaks the ice between them. 
Yeah, because one of them you 

521
00:28:25,920 --> 00:28:27,720
need to see it and the other 
need to guide. 

522
00:28:27,720 --> 00:28:30,800
And so did this speaking happens
technical speaking question 

523
00:28:30,800 --> 00:28:32,760
answer. 
So the desk, this is really nice

524
00:28:32,760 --> 00:28:36,400
start world for the for the 
enabling them for the 

525
00:28:36,400 --> 00:28:37,440
collaboration. 
Yeah. 

526
00:28:37,680 --> 00:28:39,640
Is that the same for experienced
engineers? 

527
00:28:39,720 --> 00:28:43,360
I, I can imagine that if I've 
never done a hackathon and I go 

528
00:28:43,360 --> 00:28:46,920
into a team, I do kind of know 
how to break stuff down. 

529
00:28:46,920 --> 00:28:49,200
I might fall into kind of 
analysis paralysis. 

530
00:28:49,480 --> 00:28:52,360
Collaboration might always be 
challenging depending on if 

531
00:28:52,360 --> 00:28:54,160
you've more programmed, if you 
know how to break those 

532
00:28:54,160 --> 00:28:56,480
barriers. 
But it's are those the same 

533
00:28:56,480 --> 00:28:58,680
challenges you've seen in 
existing hackathon teams? 

534
00:28:58,960 --> 00:29:02,400
I would say kind of kind of the 
same challenges, but each 

535
00:29:02,520 --> 00:29:05,520
hackathon team needs someone to 
guide and lead. 

536
00:29:05,520 --> 00:29:08,520
So that's why I always encourage
EMS to join the hackathons 

537
00:29:09,000 --> 00:29:11,400
because they already have the 
capability and knowledge of 

538
00:29:11,400 --> 00:29:14,200
managing teams. 
And if they join hackathons, 

539
00:29:14,200 --> 00:29:16,480
most of the time they're not 
joining because, OK, it's too 

540
00:29:16,480 --> 00:29:17,840
technical, I don't want to join 
it. 

541
00:29:17,840 --> 00:29:22,520
But we want EMS in hackathons 
and if they join, they can 

542
00:29:22,520 --> 00:29:25,760
easily guide and help and do 
whatever they do in real life, 

543
00:29:26,960 --> 00:29:30,040
but a bit more fast in a bit 
more fast peace environment. 

544
00:29:30,360 --> 00:29:33,800
They can guide people, they can 
like lead people in order to 

545
00:29:34,120 --> 00:29:36,280
each team. 
A successful team hackathon 

546
00:29:36,280 --> 00:29:39,840
needs someone to do that, even 
if it's not like he or she is 

547
00:29:39,840 --> 00:29:43,160
not a an engineer manager. 
It needs someone to manage 

548
00:29:43,160 --> 00:29:47,120
everything and blocks ideas 
because so many ideas going to 

549
00:29:47,160 --> 00:29:52,560
come up and we need to like have
a some limit for our focus on 

550
00:29:52,560 --> 00:29:57,120
what we're going to deliver and 
then expand, expand like when 

551
00:29:57,240 --> 00:30:01,600
times like times time allows. 
So that's really important. 

552
00:30:01,600 --> 00:30:04,120
Like member of each successful 
hackathon teams. 

553
00:30:04,680 --> 00:30:08,320
If all like engineers sitting 
together just coding even the 

554
00:30:08,320 --> 00:30:10,760
quality, if the quality of the 
product is super great. 

555
00:30:10,760 --> 00:30:15,360
They do do like ground breaking 
project is there, it's not going

556
00:30:15,360 --> 00:30:16,560
to be recognized. 
Yeah. 

557
00:30:16,800 --> 00:30:21,080
And they need someone to focus 
on the goal and like why we 

558
00:30:21,080 --> 00:30:25,200
doing that always should be this
question and then getting to the

559
00:30:25,200 --> 00:30:29,000
result then adding up some like 
fancy feature over that. 

560
00:30:30,200 --> 00:30:33,080
I receive a lot of questions for
people that are slightly more 

561
00:30:33,080 --> 00:30:36,680
early in career with regards to 
how can I distinguish myself. 

562
00:30:36,680 --> 00:30:39,080
Nowadays in this tech field, 
people are getting laid off, 

563
00:30:39,400 --> 00:30:41,680
there's very good expertise out 
in the market and I'm applying 

564
00:30:41,680 --> 00:30:43,520
for jobs, but how can I 
distinguish myself? 

565
00:30:44,080 --> 00:30:46,880
I feel like there's a lot of 
benefits that you can get from 

566
00:30:46,880 --> 00:30:49,080
hackathon, but I'm very curious 
to hear your perspective. 

567
00:30:49,480 --> 00:30:52,880
What would you say the biggest 
benefits are of participating in

568
00:30:52,880 --> 00:30:57,600
in hackathons as engineers? 
For me, for for me myself, it 

569
00:30:57,600 --> 00:31:02,360
was like the most benefit I get 
was not like the prize was not 

570
00:31:02,360 --> 00:31:04,840
the, the like other stuff 
around. 

571
00:31:04,840 --> 00:31:06,640
It was the learning process I 
had. 

572
00:31:07,000 --> 00:31:11,040
So for the softer skill, you 
have huge amount of opportunity 

573
00:31:11,040 --> 00:31:12,640
to to learn because you have one
week. 

574
00:31:12,640 --> 00:31:15,160
You need to connect with people,
you need to collaborate with 

575
00:31:15,160 --> 00:31:18,280
people, you need to get a like 
something out with those people.

576
00:31:18,280 --> 00:31:21,800
So this is really challenging. 
We normally when you like on 

577
00:31:21,800 --> 00:31:24,520
boarding to a team, it takes a 
month or something to get the 

578
00:31:24,520 --> 00:31:26,880
same like connection with the 
people. 

579
00:31:27,280 --> 00:31:31,040
But because you, you have this 
urge, you don't have time, it 

580
00:31:31,040 --> 00:31:34,600
allows you to jump and it allows
to over perform and doing that. 

581
00:31:34,600 --> 00:31:37,480
So, so it was like for me, it 
was really nice. 

582
00:31:38,120 --> 00:31:40,880
It's not even possible to 
connect for those people. 

583
00:31:41,400 --> 00:31:46,120
And now they're like all teams. 
I was working now they're my 

584
00:31:46,120 --> 00:31:49,120
close friends. 
So it was like the time we were 

585
00:31:49,120 --> 00:31:52,880
really in connection that we 
changed to be a friend because 

586
00:31:52,960 --> 00:31:57,160
even like more than like my 
connection is more with like my 

587
00:31:57,160 --> 00:32:01,200
day-to-day, like teammates 
because time is really intense. 

588
00:32:01,360 --> 00:32:04,880
You need to like focus. 
You need to put your whole 

589
00:32:04,880 --> 00:32:08,480
attention into the project and 
then you need to collaborate 

590
00:32:08,480 --> 00:32:11,600
well with all people. 
And not only for that, for the 

591
00:32:11,600 --> 00:32:14,760
technical aspect is amazing. 
For example, for prompt 

592
00:32:14,760 --> 00:32:17,600
engineering, that was like my 
enter point to the prompt 

593
00:32:17,600 --> 00:32:21,760
engineering understanding about 
that, like getting my hand dirty

594
00:32:21,760 --> 00:32:24,880
with with AILM. 
So maybe your day-to-day work, 

595
00:32:24,880 --> 00:32:26,720
you don't have capability to do 
that. 

596
00:32:26,720 --> 00:32:29,880
So you're doing working 
something completely not related

597
00:32:29,880 --> 00:32:32,480
to that. 
But hackathon is a great time to

598
00:32:32,480 --> 00:32:36,640
to just go out there. 
Even if you find a project that 

599
00:32:36,640 --> 00:32:39,400
is that they're using some 
technology that you like, just 

600
00:32:39,400 --> 00:32:41,600
jump into it. 
This is the best moment you can 

601
00:32:41,600 --> 00:32:43,520
learn. 
You can apply the knowledge in 

602
00:32:43,520 --> 00:32:48,280
real life project and I'm using 
it always like like this because

603
00:32:48,320 --> 00:32:52,880
I'm also like into gaming and 
developing games, but really 

604
00:32:52,880 --> 00:32:56,360
hobby games. 
As I mentioned, I found same 

605
00:32:56,360 --> 00:32:58,760
like opportunity in one of the 
hackathon there like there was a

606
00:32:58,760 --> 00:33:00,520
team, they wanted to develop a 
game. 

607
00:33:00,760 --> 00:33:03,320
I jump into the idea because, 
OK, this is a really good 

608
00:33:03,320 --> 00:33:05,640
moment. 
I cannot find any opportunity to

609
00:33:05,640 --> 00:33:09,360
develop a game, a booking. 
So it doesn't have any relation.

610
00:33:10,120 --> 00:33:15,160
So the game itself was was to 
like enable people to learn. 

611
00:33:15,160 --> 00:33:19,400
So we have a an experimentation,
famous experimentation tooling 

612
00:33:19,400 --> 00:33:21,120
that we developed for a long 
time. 

613
00:33:21,120 --> 00:33:26,000
And because like experimentation
is DNA of booking.com. 

614
00:33:26,360 --> 00:33:29,320
We have so many AB, TS and so 
on, But the tool getting really 

615
00:33:29,320 --> 00:33:31,800
complex because it developed 
throughout many years. 

616
00:33:31,800 --> 00:33:33,880
And if you want to learn it, it 
takes a lot of time. 

617
00:33:34,320 --> 00:33:39,280
So the idea was to create a game
and let people play the game and

618
00:33:39,480 --> 00:33:42,720
you getting to to a blocker and 
then you need to open 

619
00:33:42,720 --> 00:33:44,720
experimentation tool and do some
action. 

620
00:33:45,240 --> 00:33:49,440
Then you go go to next step and 
it asks you now unblock. 

621
00:33:49,440 --> 00:33:53,280
So you need to you you learn a 
process without even opening 

622
00:33:53,280 --> 00:33:56,360
documentation. 
It's like a it was like a Star 

623
00:33:56,360 --> 00:34:00,560
Wars style game and you need to 
go to the step by step answering

624
00:34:00,560 --> 00:34:03,200
the question and some sometimes 
open this link and go to the 

625
00:34:03,200 --> 00:34:04,840
experimentation. 
Now you need to set up the 

626
00:34:04,840 --> 00:34:09,159
experimentation and go ahead. 
And because of the time, the 

627
00:34:09,159 --> 00:34:11,920
experimentation always time is 
important because you need to 

628
00:34:11,920 --> 00:34:13,920
wait for a month to get the 
result. 

629
00:34:13,920 --> 00:34:17,960
But we speed that up with create
like simulating the date and 

630
00:34:17,960 --> 00:34:19,520
data. 
We inject data to the 

631
00:34:19,520 --> 00:34:23,159
experimentation like simulating 
that like a month past. 

632
00:34:23,520 --> 00:34:25,960
Now you need to make decision. 
Now you need to make a call. 

633
00:34:25,960 --> 00:34:27,920
Is that going to be full on or 
not? 

634
00:34:28,239 --> 00:34:31,080
So this is really crucial and 
important decision for the 

635
00:34:31,080 --> 00:34:33,320
company. 
But we changed it to a game and 

636
00:34:33,320 --> 00:34:36,440
you can play thousand time and 
then you can understand and 

637
00:34:36,440 --> 00:34:39,760
learn how to make the call in 
different situation. 

638
00:34:40,040 --> 00:34:43,840
And the benefit goes directly to
the company because this is 

639
00:34:43,960 --> 00:34:46,199
really crucial. 
If you call and make it run 

640
00:34:46,199 --> 00:34:48,679
call, you're going to get like a
lot lost a lot of money. 

641
00:34:48,880 --> 00:34:53,239
So we created a game. 
You do not need to open even a 

642
00:34:53,239 --> 00:34:56,120
documentation and go through the
learning process super fast. 

643
00:34:56,639 --> 00:34:59,000
So it has different levels. 
You start really simple 

644
00:34:59,000 --> 00:35:01,640
experiment getting difficult, 
difficult and difficult. 

645
00:35:02,320 --> 00:35:06,640
And that was only in a week. 
So it was really amazed. 

646
00:35:06,640 --> 00:35:09,560
The team were really happy that 
we could manage this and the 

647
00:35:09,640 --> 00:35:13,240
output was really tangible. 
Maybe this is not for everyone. 

648
00:35:13,360 --> 00:35:16,080
Some people are like video and 
so on, but there is a lot of 

649
00:35:16,080 --> 00:35:19,840
people they want to get hand 
hands on the project and see 

650
00:35:19,840 --> 00:35:23,600
what is what he's doing in real 
life and make a call and see if 

651
00:35:23,600 --> 00:35:26,400
he's not. 
And it's like like safe call. 

652
00:35:26,760 --> 00:35:30,040
So if you make this like wrong 
decision, you just learn and 

653
00:35:30,040 --> 00:35:32,000
your company doesn't lose 
anything. 

654
00:35:32,480 --> 00:35:36,600
And that was really important. 
This is like one of the thing I 

655
00:35:36,600 --> 00:35:39,240
mentioned that you need if you 
want to learn something, this is

656
00:35:39,240 --> 00:35:41,680
the best moment. 
You need to look into project 

657
00:35:41,800 --> 00:35:45,360
that they have a goal or aim to 
do something that you want to 

658
00:35:45,360 --> 00:35:46,400
learn. 
Jump into it. 

659
00:35:46,400 --> 00:35:49,440
There is no need to having the 
expertise to jump. 

660
00:35:50,000 --> 00:35:53,160
This is the moment you need to 
go and learn and do it. 

661
00:35:53,280 --> 00:35:57,040
Yeah, And I feel like what what 
would hold people back is 

662
00:35:57,040 --> 00:35:59,000
they're afraid, right? 
How can I do something that I've

663
00:35:59,000 --> 00:36:01,880
never done before? 
I feel like nowadays that 

664
00:36:01,880 --> 00:36:04,160
barrier of entry is lower and 
lower because you have a lot of 

665
00:36:04,160 --> 00:36:06,800
tooling exactly and you are able
to educate yourself. 

666
00:36:06,800 --> 00:36:09,960
So then it's just confidence. 
It's way better than before. 

667
00:36:10,000 --> 00:36:11,520
Yeah. 
Yeah, exactly. 

668
00:36:12,280 --> 00:36:15,320
So you just have to do it, man. 
I do hate that answer because 

669
00:36:15,480 --> 00:36:18,280
for me it's very hard to start. 
And then people say, you know 

670
00:36:18,280 --> 00:36:20,720
what makes it easier to start? 
It's just to do it and to do it 

671
00:36:20,720 --> 00:36:23,960
over and over and over again. 
It sounds very simple and still 

672
00:36:23,960 --> 00:36:26,080
it's challenging, right? 
Building something, having 

673
00:36:26,080 --> 00:36:27,880
ideas. 
I mean, even when you and I 

674
00:36:27,880 --> 00:36:31,120
talked over lunch just now, you 
were already talking about ideas

675
00:36:31,120 --> 00:36:34,640
and you see those ideas due to 
the experience you have building

676
00:36:34,640 --> 00:36:37,760
up on your ideas. 
I feel like sometimes I have 

677
00:36:37,760 --> 00:36:40,800
ideas and the step to actually 
building those, they do become 

678
00:36:40,800 --> 00:36:43,040
smaller. 
I have fun with vibe coding. 

679
00:36:43,240 --> 00:36:45,360
I know start easier, but I don't
finish. 

680
00:36:45,360 --> 00:36:48,280
For example, I have ideas that 
I'm like, oh, can I make a game 

681
00:36:48,280 --> 00:36:50,240
out of that? 
Then I get to a point where I 

682
00:36:50,240 --> 00:36:53,480
can make a lobby, people can 
join on the same room, but then 

683
00:36:53,480 --> 00:36:55,400
I don't actually continue with 
creating the game. 

684
00:36:55,400 --> 00:36:58,160
I start and do something else 
which I've never had before. 

685
00:36:58,640 --> 00:37:01,360
So the dynamic changes, but I am
learning a lot. 

686
00:37:01,360 --> 00:37:04,120
I feel like this pressure 
cooker, both for your soft 

687
00:37:04,120 --> 00:37:06,400
skills and for your hard skills,
is very valuable. 

688
00:37:06,920 --> 00:37:10,760
Exactly the same, but about the 
idea is like I've created a 

689
00:37:10,760 --> 00:37:12,560
project, it's like a personal 
project. 

690
00:37:12,840 --> 00:37:16,440
I wanted to know more about 
sentiment analysis, like and 

691
00:37:16,440 --> 00:37:18,840
like intention and topic 
detection and so on. 

692
00:37:18,920 --> 00:37:22,160
But I wanted to do it in a safe 
environment for my personal 

693
00:37:22,160 --> 00:37:22,840
data. 
Yeah. 

694
00:37:23,080 --> 00:37:26,920
So I've created a Telegram bot 
and attach it to the friend 

695
00:37:26,920 --> 00:37:29,120
group that we have. 
So there's a group that we have 

696
00:37:29,120 --> 00:37:31,400
our friends and this is a safe 
place. 

697
00:37:31,400 --> 00:37:35,320
I can easily attach everything 
to that and this telegram bot 

698
00:37:35,320 --> 00:37:40,320
just collect all messages and 
send it back to my LLM server 

699
00:37:40,320 --> 00:37:43,800
that I have. 
And what I do, I analyse the 

700
00:37:44,040 --> 00:37:48,360
like sentiment, the topics 
people speaking about is the 

701
00:37:48,360 --> 00:37:51,440
trend goes up, goes down. 
I create a dashboard, fancy 

702
00:37:51,440 --> 00:37:53,960
dashboard. 
But each time I'm looking at it,

703
00:37:54,720 --> 00:37:58,200
because this was a basic idea, I
come up with a new idea. 

704
00:37:58,200 --> 00:38:00,160
OK, what if I predict the next 
message? 

705
00:38:00,160 --> 00:38:02,760
So I added something to predict 
in my next message. 

706
00:38:03,120 --> 00:38:06,480
So each time the message I get 
the context of the previous 

707
00:38:06,520 --> 00:38:10,080
messages and message they reply 
and try to predict what is the 

708
00:38:10,080 --> 00:38:11,760
next message. 
Then it compares with the next 

709
00:38:11,760 --> 00:38:13,920
message. 
What is the accuracy of the 

710
00:38:13,920 --> 00:38:17,120
prediction? 
So there are many ideas coming 

711
00:38:17,120 --> 00:38:18,680
up. 
Each time you look into the 

712
00:38:18,680 --> 00:38:22,120
previous idea, you need to start
the the, the the meaning of 

713
00:38:22,320 --> 00:38:25,920
start is to if you have 
something there, it's like 

714
00:38:25,920 --> 00:38:30,000
giving you energy to to add some
new brick back over that. 

715
00:38:30,240 --> 00:38:33,280
And then you see you ending huge
project. 

716
00:38:33,560 --> 00:38:36,320
But sometimes you aim really 
high and you want to, for 

717
00:38:36,320 --> 00:38:41,400
example, add something. 
And this is really too big to be

718
00:38:41,400 --> 00:38:43,560
very feasible and to disappoint 
you to do it. 

719
00:38:43,560 --> 00:38:47,320
So need to go really small, 
really like much stuff, just go 

720
00:38:47,320 --> 00:38:52,160
really small steps, small steps.
Then then it encourages you to 

721
00:38:52,160 --> 00:38:55,320
do it more and more. 
So this is for me it was working

722
00:38:55,560 --> 00:38:57,440
like doing really small 
features. 

723
00:38:57,440 --> 00:39:00,440
So each time I didn't develop 
the whole idea together. 

724
00:39:00,440 --> 00:39:03,840
The first version only had like 
showing the message that was in 

725
00:39:03,840 --> 00:39:06,320
the tag of nothing out without 
LLM. 

726
00:39:06,680 --> 00:39:09,120
But the current version, even I 
can switch between LLM. 

727
00:39:09,120 --> 00:39:11,000
I can reanalyze. 
You can change the prompt. 

728
00:39:11,280 --> 00:39:15,360
So each time I added a new 
feature, I then it it gives me 

729
00:39:15,360 --> 00:39:18,440
huge energy. 
It's adding a new feature to it.

730
00:39:18,760 --> 00:39:20,680
Let's do it. 
So even in midnight, I would 

731
00:39:20,680 --> 00:39:22,560
say, OK, I need to add something
to it. 

732
00:39:22,560 --> 00:39:24,200
So I'd see what's going to 
happen. 

733
00:39:24,640 --> 00:39:27,160
And this is like also sharing 
some of that with my friend and 

734
00:39:27,200 --> 00:39:29,560
amaze. 
Oh my God, have you done that? 

735
00:39:29,560 --> 00:39:32,680
So it's so nice and that's 
really nice. 

736
00:39:32,680 --> 00:39:36,720
I think this stuff like you can 
do and the learning process, 

737
00:39:36,720 --> 00:39:40,640
like I'm doing the same work at 
my current job nowadays, but the

738
00:39:40,640 --> 00:39:43,160
scale is huge. 
This is completely different. 

739
00:39:43,160 --> 00:39:47,600
But this learning process helped
me really nice and like enabled 

740
00:39:47,600 --> 00:39:52,360
me to do it involved in all 
steps, which was even not like 

741
00:39:52,560 --> 00:39:55,320
part of my job description. 
I could involve. 

742
00:39:55,320 --> 00:39:59,440
I could like have a huge and 
dramatic effect into many like 

743
00:39:59,440 --> 00:40:03,320
prompting of the process and any
other process related to LLM and

744
00:40:04,120 --> 00:40:09,080
AI related to my real job. 
But it started all from the 

745
00:40:09,080 --> 00:40:11,440
hobby project. 
It's like my I'm kind of 

746
00:40:11,440 --> 00:40:14,880
addicted to this nowadays. 
I can see that. 

747
00:40:14,880 --> 00:40:18,960
I think it's, I think it's very 
smart to figure out a way to get

748
00:40:18,960 --> 00:40:22,400
really good at executing with 
different technologies, building

749
00:40:22,400 --> 00:40:25,360
little projects here and there 
for your own kind of personal 

750
00:40:25,360 --> 00:40:27,520
journey. 
I feel like it's really good in 

751
00:40:27,520 --> 00:40:29,480
distinguishing yourself when 
you're talking about career 

752
00:40:29,480 --> 00:40:31,960
perspective. 
But also like you mentioned, you

753
00:40:31,960 --> 00:40:33,200
can apply it at your current 
job. 

754
00:40:33,200 --> 00:40:36,320
You can actually see other teams
that are doing something that 

755
00:40:36,320 --> 00:40:38,560
actually you've done in a 
personal project or you're like,

756
00:40:38,560 --> 00:40:41,440
huh, how would you do that? 
You execute and then because 

757
00:40:41,440 --> 00:40:43,240
you're having so much fun, you 
move to that team. 

758
00:40:43,680 --> 00:40:46,240
I think it's fantastic. 
Yeah, exactly, exactly. 

759
00:40:46,520 --> 00:40:49,040
And that helped me a lot. 
You know, for example, the same 

760
00:40:49,280 --> 00:40:51,320
project I mentioned. 
I'm doing the same but with the 

761
00:40:51,320 --> 00:40:53,840
larger scale and. 
Booking scale. 

762
00:40:53,840 --> 00:40:57,840
In the booking scale, so, so I, 
I know both aspects. 

763
00:40:57,840 --> 00:41:01,600
I know like how how it goes with
the small project and how it 

764
00:41:01,600 --> 00:41:03,200
goes. 
What's the challenges of the big

765
00:41:03,200 --> 00:41:05,960
projects. 
So, and I can apply some of them

766
00:41:05,960 --> 00:41:08,920
to to the other. 
And even I learned something my 

767
00:41:08,920 --> 00:41:10,720
job. 
OK, let's apply to my personal 

768
00:41:10,720 --> 00:41:11,160
project. 
Yeah. 

769
00:41:11,520 --> 00:41:13,400
And improve it. 
And so we had so, so many 

770
00:41:13,400 --> 00:41:15,920
meetings with open AI that we 
are working directly. 

771
00:41:16,440 --> 00:41:19,760
And I learned a lot about how, 
how you need to like, for 

772
00:41:19,760 --> 00:41:22,120
example, use model. 
You need to solve with a larger 

773
00:41:22,120 --> 00:41:25,080
model, then you need to adopt it
to the medium model. 

774
00:41:25,320 --> 00:41:27,560
And the final project you can 
use is be the flash, for 

775
00:41:27,560 --> 00:41:29,800
example. 
But you need to fine tune, you 

776
00:41:29,800 --> 00:41:32,520
need to like adopt it. 
Don't start with the like 

777
00:41:32,720 --> 00:41:35,280
cheaper model because you're 
going to get the poor result and

778
00:41:35,280 --> 00:41:38,600
you don't know how to like fine 
tune the the prompt that you 

779
00:41:38,600 --> 00:41:40,960
have. 
So this learning a really 

780
00:41:40,960 --> 00:41:43,760
general learning that you can 
use in your personal project or 

781
00:41:43,760 --> 00:41:48,240
the real life project, but you 
can experiment it easily because

782
00:41:48,440 --> 00:41:51,400
if you want to experiment in the
real world, it's more 

783
00:41:51,400 --> 00:41:53,640
challenging. 
But experimenting in my personal

784
00:41:53,640 --> 00:41:56,720
project related to my friend 
channel is super simple. 

785
00:41:57,240 --> 00:41:59,760
And also I can experiment 
whatever I want, different 

786
00:41:59,760 --> 00:42:03,480
languages, what was like the 
output for the different models 

787
00:42:03,480 --> 00:42:05,800
and everything. 
And it goes with no risk. 

788
00:42:06,560 --> 00:42:09,040
Yeah, I think that's the best. 
I I love learning about your 

789
00:42:09,080 --> 00:42:10,560
projects and your passion for 
hackathon. 

790
00:42:11,360 --> 00:42:12,920
Thank you so much for coming on 
and sharing. 

791
00:42:12,920 --> 00:42:15,200
This was a blast. 
Thank you for having me. 

792
00:42:15,560 --> 00:42:16,680
Cool. 
We'll round it off here. 

793
00:42:16,680 --> 00:42:18,400
Then, if you're still listening,
leave a like. 

794
00:42:18,400 --> 00:42:20,440
If you like the episode, let us 
know in the comments section 

795
00:42:20,440 --> 00:42:22,440
what you thought and we'll see 
you on the next one.

