シャドーイング練習: Inside a Hong Kong Hackathon [Full Documentary] - 動画で英語スピーキングを学ぶ

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How satisfied are you with what you accomplished this weekend?

Zero, five, five.

I love it.

Great job.

Welcome to C -Hack.

We're here in Hong Kong with more than 250 developers

and builders from more than a dozen countries who are going

to be teaming up to build projects over the next 24 hours.

We're going to judge those projects.

We're going to give them some prizes, and we're going to learn a lot about how

people are building cool projects on a tight timetable so

this is an app that teaches people Cantonese pronunciation yeah you can just record your voice

and it can detect if you have

pronounced correctly and it will correct you if you have wrong pronunciation okay

so you are Jenny and you are Coco how do you know each other just met yesterday

and we form a team yes are both of you from Hong Kong awesome

and tell me a little bit more about your app

and maybe give me some more examples of it working I want to actually try it

and see if I have good pronunciation you can just try out you can start recording

Let's see how how accurate you are

oh congratulations you got 100 % all right well now I

want to eat some you made me hungry we can go buy some awesome yeah bring guidance I

and bribe the judges yeah I will ask them to try try it out yeah we also have other section

but still building like there are some visualizing of the tone

and the six tones of Cantonese and some lyrics

but still building yeah I think lyrics are gonna be really popular

because a lot of people who are not Cantonese speakers like listening to Canton pop yeah any song you have listened

I won't name one on the spot

but yeah I listen to a lot of it all right yeah

so we will also recommend some good Canon pop for people who want to learn Cantonese

and at the same time listen to the music okay yeah I think that's a really cool feature

if you can essentially like have them sing along

and then also like grade their tones

and their pronunciation oh sure we can add this function it

is a good idea yes awesome keep up the great work tell me your name

and where you're from my name is Serena I'm from HQ physics I

specialize in machine learning my name is Brian I'm from Vietnam

currently work in hong kong for a tech company here i'm

ben i also work in a tech company here in hong

kong with brian over here i am josh from the philippines i'm currently a economics

and biotechnology student at hkust i'm carmen i'm from hong kong

and i specialize on vibe coding 3d low poly experiences

and working in ai transformation i'm hyped to learn a little

bit more about what you all are building brian can you

just tell me kind of like fundamentally what the problem

that you're solving is

and for whom all right thank you we are here for the hackathon building for a company called Apple Park

so basically it's a customized

recommendation system that will help the customer have a better flow in choosing the dolls

and the toys for their kids I think the problem

that we encountered is for a lot of people who are

buying gifts for someone else's children they want to show

that they know the child and that they are empathizing with the parent in in the mission to develop the child.

So this recommendation engine that we created is more conversational so that we get to see what are the idiosyncrasies that,

you know, the gift giver wants to express in the gift

and give them the recommendations that resonate with the preferences that they have.

We're here with Fozzie, Sherry, Ricky.

They are building Tinder for Loans.

So we are basically lonely, we are just Tinder for Loans.

So how it works is

that we have the plan generated by the AI with our story given

and the amount of money we need so how it works is that when we click submit

it shows the video where we can submit like a yc video all the applicants can submit it

so how it works is that the lenders can go through the borrowers video

and then see whichever video they like and then

if you click it it shows you the information and

if you swipe right it shows accept and then

if you go down and then if you swipe left it's yes rejects

so that's what basically happens awesome so basically they can just watch your video and

if it's any point they decide yeah I don't want to

fund this I'm not gonna give them a loan they swipe it out of the way

and move on to the next one that's basically how it works

and I guess the idea is this helps people who are applying for loans

because it's just like lower friction for them to get things

in front of potential loan makers yeah also helps the lenders to get more details of the borrowers

and see how much they want

and we can also show there are other histories as well

using blockchain have built this the audit logs they can view through

that and they can see the details and

if they can want to lend them

or not we're here with jeffrey joe from baltimore who flew in to help organize

and run mentor mates hackathon see hack how's everything going with you it's good it's hectic

but it's it's really good we have some really cool projects

really looking forward to see what everyone's building what everyone has

completed basically today awesome how many submissions have you had

so far do you know we have over 20 I think we're nearing 30 something submissions

so 30 teams have submitted

which is great that's awesome maybe you can tell me just

a little bit about what the judging process is gonna be like here yeah

so mainly when we judge hackathons depending on the track we have a couple of different things

that we look for so for example startup community

and industry tracks we're looking for whether for example for startup whether your your idea is venture scalable

when we're looking at industry we're looking at whether you're solving a real problem

and you're solving it correctly for community we're looking at sort of the value you're adding to a non -profit

or potential community effort.

So our judges will be checking those criteria.

For the first round, it's going to be a two -minute pitch video.

All the judges will look at that, and then we'll select the top three from each track to move on.

The people who move on will be able to present their

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project live to all of the audience as well as the judges, and we'll select one winner from each track.

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Awesome.

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So there are going to be three winners tonight.

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Is there like a grand prize or anything like that

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or is it just like uh each track prize is the

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same um we have a couple prizes from the sponsors from our lovely sponsors

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that will be in addition to those right on sounds really cool

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and i am honored to be one of those judges to

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be able to like uh determine the fate oh no this

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is gonna be awesome i'm hyped to watch some of these

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videos let's go watch some of those i'm gonna run some

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of those right now for you good people yeah thank you

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again quincy for judging uh really looking forward to seeing what everyone's built.

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This is a 24 -inch pizza right here in Hong Kong.

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You usually don't see pizzas like this outside of New York City, but we're going to dig into one right now.

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Ruby, why do you do this?

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Angela, can you tell us a little bit about what you're building and for whom?

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Among the three tracks, we choose the Apple Park kits,

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and our pin point is that among all the dolls of our products, the parents don't know which product they should choose for their kids.

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So what's our solution?

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It's that we customize stories for every single product so that the parents would know

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what specific doll is more suitable for the kids.

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And how are we going to do that? it's that we're going to have LLMs similar to ChatGDP, a chat box where the parents could put in their kids information

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and we will generate a story and also have the matching dolls suitable for that kid.

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We're here with Connor from South Africa,

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Cindy from Hong Kong, and they are building a tool to help recognize volunteering at a charity, right?

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Yeah, that's That's right.

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Maybe you can tell us a little bit about the problem

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and how you're solving it yeah so basically um

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so what we've been noticing is

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that like a lot of angel have their own system

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and basically the reason we came up with this idea

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so my friend work in our marketing agency and we noticed

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that a lot of angel pay a huge amount of money for a marketing agency to recruit like volunteering

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and sponsor to join the event so basically we're building a platform

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that we can unify everything keep the cost as cheap as possible

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so that like all the other people can receive the money

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that they should deserve rather than just spending all it on marketing

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so that's something that we are building awesome

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and what has been the most fun part of building this so far here at CHAC?

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Taking the idea at conception from six hours ago to having a live demo ready, it's been a lot of fun.

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I mean, neither of us are technical.

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She comes from marketing, I come from finance.

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Never touched code before, never even downloaded like Visual Code Studio or anything like that.

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But with AI, anything's possible.

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So So it's been a lot of fun to just turn the idea into an MVP, essentially, in six hours.

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Right on.

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Keep up the great work.

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I'll come back and check.

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You're going to continue to improve and fine tune this in preparation for judging, right?

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That's the goal.

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Hi, I'm Quincy, founder of Free Code Camp.

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Who are you?

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Hi, my name is Chinat Yu.

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It's nice to meet with you.

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I'm an AI hacker, rapper, builder, because that is what I do.

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Quincy from Free Code Camp, coming to Hong Kong to leave his stamp

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because with mentor mates we build better hackathons for us all

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together we're here c hacks with chinat the organizing force behind

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the hackathon uh founder of mentor mates who has now run

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three hackathons this is the second one in hong kong the first one in hong kong

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which i had the pleasure of attending 50 participants this year

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250 how do you achieve 500 growth with within the space of one year between two hackathons?

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I think that if you run great events, you would naturally attract people to kind of gather and help you to grow that event even more.

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What was really interesting was between last year and this year, so many people in and across Hong Kong, beyond Hong Kong, actually reached out to me, being like, hey China, can I run this hackathon with you?

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I saw the amazing work that you've been doing here with kind of Quincy, as well as some of the folks locally in Hong Kong.

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What can I do to kind of help and support?

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And so this year we're really excited, like you know we have a lot of amazing community partners including angel wyelite

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and many others local

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and the community who are actually you know putting out the

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effort to really gather the folks to get this hackathon up

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and running you are here in hong kong born and raised

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and you're a huge believer in the hong kong tech ecosystem

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what are some reasons people who have been sleeping on hong kong should get over here

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and explore potentially like creating a startup here

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or potentially investing in startups here

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so i think right now there's a huge conversation around like

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where should i build my ai where is the future of ai is it in china

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or u .s and the answer is is

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that the future of ai is driven by both china

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and u .s and there is no better place to discover

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that here in hong kong because we are such a global city we're

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so close to you know shenzhen and the greater bay area in mainland china

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but at the same time we have this global international

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and are able to kind of access AI models and AI talent and AI infrastructure from abroad as well.

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And so being this kind of natural bridge of connecting the two places, Hong Kong is a natural place of where to kind of find where East meets West.

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We're here with Michael, Hong Kong local, who is building a CRM tool,

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like customer relationship management tool for local small businesses that doesn't assume

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that they have like a giant marketing department or anything like

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that talk a little bit about what you're building

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and how you're building it i believe

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that our conversations should be should not be the training data of the next ai

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and we always want our private conversations to become pretty private

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and never send to the big text

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and this is why i have built raft this is a

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local ai focused way as a customer resource management tool

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that connects directly to your whatsapp or your telegram

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which is the tools that is generally mostly used by Hong Kong SMB owners

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and it will automatically review your chats using completely local AI

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which is like completely processed locally and never sent to cloud

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and it will be able to for example suggest your replies to the video customers

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and also have a brief summary on your relationship with them

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and also extract memories from them so

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So it's into like a hundred x your interaction with your customers

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and most importantly it is completely built okay it's completely running

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locally it can run on any of the like more than the recently manufactured computers

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and even efficiently on there without consuming too much resources using the Gemma for E4B local models

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which means that every single thing will be completely stored locally

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and never process by the cloud and it keeps our conversation safe

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which we find the privacy thing is increasingly being concerned in the modern era of AI what are you building

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if I understand correctly it's gonna use like OCR on the bill

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and then once it understands the bill it can apply tax

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who is the ultimate end -user of this like who would buy this application and the

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businesses that have the needs to manually input data

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and they will like to have a unified workflow for the

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junior employees to work in a unified UI for validating the buildings and to digitalize them.

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Would this be like for like a property management office,

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like a landlord or anybody who has junior employees that are looking at any document or specifically are you focusing on bills.

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The current flow is targeting bills only because we have a workflow to

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and it's just like a rubbish beans to let the employees to drop all the bills into this workspace

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and then he can refill it in an organized way.

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It's actually minimized the error of manual data inputs

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and it makes the whole process more efficient

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and organized all right terry uh tell me a little bit

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about what you're building what problem you're trying to solve

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and how you're solving it sure the problem facing the company is

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that it takes some it takes much time for some individual

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users to write the loan to write the checklist to submit their application

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and now we build an ai assistant alone we can to finish everything with simple chats.

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And the AI system will evaluate all the things that the individual user provided and give feedback to the administrator.

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And the administrator could check everything from that website and don't need to chat with the users.

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hmm homemade cookies nearby china's mom

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how satisfied are you with what you accomplished this weekend

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we are super satisfied for what we have accomplished

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and we think our project could you know change the industry

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yeah it's about insurance awesome I love your confidence keep it

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up I would say I'm pretty satisfied with it we have completely implemented local AI layer of the raft

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which means that right now you can have a local AI to generate all of your social replies

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and get your memories and most importantly it never leaves your commuter it's just as safe your messages.

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That is, save your WhatsApp messages.

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And everything you saw on the computer, it never leaks to the cloud.

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Awesome.

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Congratulations.

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It's satisfying, obviously.

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We made like a project.

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It was chaotic at first, but like eventually we gradually solved many problems and we are super satisfied about it.

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We just submitted our project.

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It's a start -up track.

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how does it feel to have submitted your project it's very

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exciting I mean you can see my first hands okay and this is our demo

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here's over demo like we generate a little video like show how to use our from our app.

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Very cool.

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Are you submitting?

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Are you done?

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So we had an issue with our submission.

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Basically, unfortunately, we couldn't get our Vercel online.

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So it's live on localhost, I just couldn't get it onto the Vercel.

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So currently we're uploading a video of the localhost onto YouTube to then just add it into our submission, but it might be too late.

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i will let you focus on that uh good luck say your name and where you're from igor russia

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helena russia how does it feel to have submitted the project you spent the last 24 hours working on?

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It's a bit exhausting, to be honest.

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Yeah, we barely had any sleep.

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So, yeah, it was a bit tough.

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What about you?

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I'm fine.

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We're deploying live on Vercel, so you guys can access it.

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Okay, so they are in the process of uploading and deploying and submitting.

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Sorry, my teammates are busy.

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Because we're trying to deploy the prototype that we have on Vercel right now, and it's 3 .30 exactly the deadline time, so we are in quite a hurry.

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She's narrating our stress levels.

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Yeah, narrating our stress levels at the very end of the hackathon.

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You don't want to submit your .in file.

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Literally.

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Oh, there it says environment variables.

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Yeah, because you need it to work.

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Yeah, that's true, that's true.

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Okay, so you tried to click import in.

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Let's see.

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Maybe it didn't even have an environment to do it.

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It probably won't work without a .in file though.

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Let's try it.

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No, let's just see what happens.

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Congratulations.

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Oh wait, it's working.

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It's working.

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Yeah, okay.

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Oh, I love it.

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Oh!

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Wait, wait, let's try it.

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Test it out first.

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Okay, okay, okay.

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Can we submit it though?

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Yeah, let's submit it first.

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Let's submit it first, right?

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Show the link.

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Okay.

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Where, how do you?

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It's not now.

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Yeah just make sure it works before you submit I think they'll probably give you like an extra minute

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or two okay

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let me go in get out of the incognito mode

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and paste it into our slide deck.

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We need to share this presentation and where's the submission?

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Okay, there.

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Okay, so now we need to share the link to this.

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Rename.

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It's okay.

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Share with me and then I'll give it to the organ.

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I'll give it to China.

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They're in the process of submitting right here.

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Alright, we can probably leave him alone.

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We can come back later.

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We don't know why we can't select the correct track.

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So we've got to start collecting the application form.

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Oh no!

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These two gentlemen over here, they're having trouble selecting their track to submit.

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Alright, we're watching some real -time QA.

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How satisfied are you with what you accomplished this weekend?

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Zero, five, five.

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I love it.

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Great job.

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Very satisfied.

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I learned how to code.

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I was late.

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I still learn and I'm now able to make something.

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I made a map overlay for all the natural resources and fertile lands.

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Yeah.

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That's sweet.

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And you did this using like a code harness, like cloud code? did this using cloud code

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and from the token mart

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that the organizer gave us congratulations thank you well the final project wasn't finished really

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but I got to learn a lot and there were a lot of experts

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so I'm very satisfied with this event awesome congratulations keep keep building you were working on the you

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thing right did you finish it okay well you

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keep working on it outside

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of the hackathon I will

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tell you I have done hackathons where I could not finish the project in time

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and I didn't have anything to submit it's fine keep working

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on it yeah how satisfied are you with what you accomplished this weekend incredibly satisfied

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because we made the impossible possible i think we cooked we

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managed to clutch our project really well literally the last few seconds before the submission deadline

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and i'm really proud of the entire team

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and what we've been able to make

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so yeah let's just see what's in store for everyone awesome

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congratulations thank you thank you thank you they got it submitted

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awesome congratulations and now we're ready to cover the judging process let's go check it out

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I do think the actual UI obviously was filled with plotisms and stuff, but it was fine.

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implementation likelihood like i don't think there's anything stopping this from

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being a real product yeah profit maybe a four all right

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yeah i mean i don't know like yeah it's an imagined problem

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that i cannot relate with yeah i don't have any empathy for

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that i talked to this guy

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considering the fact that they didn't even know how to use Claude and stuff like that i think

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i think execution is probably like a four yeah market support

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too this is uh this is interesting yeah i mean i can see like

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if you're in like you want to learn how to do like commodities trading

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or something that might be like a really helpful tool i don't see you coming back

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and using it multiple times yeah like how much is there

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really to know like yeah after you've used it a few times you'll probably figure it out yeah

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so i think the main challenge is scalability i'm not sure

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about the uh market off like long term the presentation is pretty good this is

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so quad quad is like really bad

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and just like having excessive explanatory text right like

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if you look here it's like text and then it's text

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and then it's it's more text like on an actual squeeze

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page yeah there would just be one heading out it wouldn't

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be like three things yeah it's just like little things like that that drive me crazy

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We are the first finalist he presenting, everybody give a big round of applause to Webb!

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Today I want to present you, Red.

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Your completely private, fully local second grade of photo -social using AI.

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What it does is, you connect your WhatsApp or Telegram to it, and then it will automatically drive your replies to your friends or customers.

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So this is the future of social.

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If you have any U .S account present that has too much people to talk with, this is for you.

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Thirdly, this is time to open source.

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And to be fair, this is connected to the WhatsApp Red Protocol, which is actually out of terms of service.

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However, our commercial plan will be integration with proper reference, using like for the matter business, or like a WhatsApp business.

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And this kind of integration actually requires a real business, you know, a real solution provider,

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and we are going to be it.

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So we are basically playing the Harms Agent Playbook, right?

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We sell an open source solution and then we provide integration that requires a cloud.

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We have built our Canlis 101.

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Can I tell people to learn Canlis?

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I don't know how many of you know Canlis or not.

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Can you raise your hand if you do not know Canlis?

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Oh, many of us, many of you, so you can definitely check it out.

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Because we have different functions, we can turn it into English, and so you can understand what is going on.

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In Japanese, there are a 9 -tone, and we can simplify it into 6 -tone, and we can listen to the pitch.

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Let's play the pitch.

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Da, da da da, da da da da da da da da da da da

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