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oh my ****

18m 45s3,628 words515 segmentsEnglish

FULL TRANSCRIPT

0:02

Oh, there goes the toilet lid. We're

0:04

going to go through some serious numbers

0:06

and before and after examples here of

0:08

what's going on with my startup. But

0:10

first, quick reminder, the fundra is

0:13

ending at the end of this month. So,

0:15

yeah, that means if you go to

0:16

houseack.com or reinvest.co, you could

0:19

still get and lock in that convertible

0:21

bond. You get 5% as a yield paid out on

0:24

a monthly basis. All the upside in the

0:26

stock and you can invest with credit

0:28

card, a wires with absolutely no fees.

0:31

Obviously, I don't recommend anybody go

0:32

into debt. And make sure you read the

0:34

offering circular. There is risk with

0:35

every investment. You could also go to

0:37

the website to learn about our

0:38

artificial intelligence. And you could

0:40

also buy lifetime access to it if you

0:42

want because once we actually release

0:43

the product, the price is going to keep

0:45

going up. Also, I'll give you all a

0:47

quick little spoiler of what's coming

0:49

and what we're going to enable for those

0:50

of you with lifetime access soon. Take a

0:52

look. So, if I go to the Reinvest app,

0:55

uh we're combining this with the

0:57

Reinvest app. And so, we'll have a

0:58

little tab at the bottom that'll be

1:00

deals. And, uh, in this case, I've got

1:03

over here zip codes of uh certain zip

1:05

codes in Detroit. I just picked a few.

1:07

I'll pick a few more over here. Update

1:09

those zip codes in. And I'm sorting

1:11

these by best deals, uh, or at least

1:13

deals that so far look the best. And I

1:16

mean, look at this. This place looks

1:18

nasty. This place doesn't look too good

1:21

itself either. Great. Uh, and so over

1:24

time, since we don't yet have the net

1:27

worth boost or fair market value

1:29

algorithms done, we're only on images

1:33

and next we're hitting valuations. So we

1:36

think sometime early next year we'll

1:38

have all of these algorithms completely

1:40

done and man I I'm I could not be more

1:44

optimistic about taking something mass

1:46

market like this is a game changer. So

1:48

some of you have asked about the

1:50

financial status and reality of what the

1:52

heck is going on and my real estate

1:54

startup. Let's just put it this way. the

1:56

artificial intelligence boom is clearly

1:58

alive and well and given that uh we're

2:01

not like an oracle and we rely very

2:04

little on servers, we're really excited

2:07

about this. So, what I wrote down here

2:10

are a couple notes to give you updates

2:11

on. Uh number one, as of 1211 2025, the

2:17

company is EPS profitable. Now,

2:19

obviously things could change, but

2:21

what's great about that is that's the

2:22

first quarter to date ever. We've been

2:25

EPS profitable, and that's because we

2:27

launched our AI product just 2 and 1/2

2:30

weeks before that. This includes

2:32

depreciation and bond interest, uh,

2:35

which we don't have any bank debt. The

2:37

only debt that we have is a set of

2:40

convertible bonds that hopefully convert

2:43

to equity at some point in the future.

2:45

based on the numbers that we're seeing

2:46

now, we think that is a likely

2:48

conversion, which is good because it

2:50

gives investors all of the upside of the

2:52

equity of the stock. Uh now, why? Okay.

2:55

Well, we believe that's because, well,

2:59

let's put it this way. More people have

3:01

bought our artificial intelligence

3:02

product and lifetime access for it than

3:04

we really thought people would. And so,

3:06

we're really excited about that. Let's

3:09

go look at some real estate and talk

3:11

more about. And I know some of you were

3:12

wondering, Kevin, like what valuation is

3:14

your company raising money at? This

3:16

report right here was done by a broker

3:18

dealer in August of 2024. They valued us

3:22

at $140 to $2 as a multiple of book

3:26

value. That was when we were losing

3:30

money. If I could type correctly here,

3:32

we were losing money. We had a much

3:34

larger staff and we got rid of a lot of

3:37

people that were not productive for our

3:39

company and focused that on the R&D

3:41

talent instead. And boom, now we're

3:44

cranking and profitable. And so we're

3:46

still raising at this old valuation.

3:48

That's one of the reasons we're ending

3:49

this fundra. Mind you, when we first

3:52

started raising for this company, we

3:54

raised at $1 equals $1. So when we

3:57

raised our first, you know, $25 million,

4:00

we had a company that was worth $25

4:02

million and we had $25 million of shares

4:04

outstanding, you know, plus or minus

4:06

like a tiny small little fraction of

4:07

fees and costs like that. Like we didn't

4:09

there was no premium for the company

4:11

when we started. And you know, now we

4:14

still have this fund raise going at a

4:16

buck 40. That's the low end of this

4:18

range. And this is written by a Wall

4:20

Street, you know, firm, uh, a broker

4:23

dealer firm. I took a little screenshot

4:24

here just to blow it up from from the

4:26

PDF of what our company is worth in

4:28

August of 2024. And so right now we're

4:31

raising money at a buck 40. And I'm

4:34

thinking to myself, geez folks, like why

4:37

why are we doing that? That was back

4:38

when we were losing money and weren't

4:40

the company we are today with artificial

4:42

intelligence. That was just based on

4:43

real estate. So I think when we close

4:45

this round, we're probably going to go

4:46

get a new valuation, you know, at some

4:48

point. Whether that I don't know if

4:49

that's going to be right away or the

4:50

summer, early next year or whatever, 27,

4:52

whatever, but um it might be quite

4:55

different. No guarantees, of course.

4:57

Also, quick sidebar, Jack had the first

5:01

sprouting plants. Uh both Max and I are

5:05

really lagging behind. We kind of think

5:08

he didn't bury his seeds very deeply.

5:10

the knucklehead.

5:12

>> A big financial lesson that I think

5:14

everybody could benefit from is

5:16

understanding that when companies or

5:18

people become regularly profitable, they

5:22

can focus on what really makes the

5:24

company or yourself as an individual

5:27

grow rather than being reliant on where

5:30

am I going to get the money for the next

5:31

payment from. And that's what I think is

5:33

so wonderful about what we're doing at

5:34

Houseack, which we're now calling

5:36

Reinvest. It's the same company. We just

5:38

like the name Reinvest because there are

5:39

some really cool things that we're going

5:40

to do in the long term and the name is

5:42

perfect for that. That said, we do

5:44

occasionally get some people that are

5:46

like, "Oh, cool. All right, Kevin AI and

5:48

you do real estate. Like, how do those

5:50

two even mix together?" And that's the

5:52

point. See, we don't buy homes that

5:55

other people generally want to live in.

5:57

I'll just give you a quick before and

5:58

after example. Here's an example. House

6:01

like this. artificial intelligence

6:03

that's trained by an expert can tell you

6:06

that this patio cover here is probably

6:09

leaking because of the rust and mildew.

6:11

Now, maybe you can identify that, but

6:13

does every home buyer? Does every

6:14

investor? Our goal is so that every

6:17

single time a property hits the market

6:19

in the future, we can automatically

6:21

identify red flags and let buyers,

6:24

investors, realtors make a financial

6:27

analysis on instantly, mind you, on is

6:30

this property worth buying compared to

6:32

what it's listed for. And if you could

6:34

do that instantaneously, then you can

6:37

actually broaden the number of people

6:38

who can build real wealth, the real

6:41

estate. Now what we've done is I mean we

6:44

do a lot of this analysis ourselves but

6:46

we realize we don't have billions of

6:49

dollars to go do all the fixer uppers

6:51

for example or even the non-fixer to

6:53

help determine if it makes sense to

6:54

renovate a property. So we spend the

6:56

money that we have on artificial

6:58

intelligence but also transforming

7:00

properties like here's the after of that

7:02

same property. But we have realized that

7:05

there's so much demand for what we use

7:07

and the tools we use and the knowledge

7:09

we have. If we can train by training

7:11

multiple different machine learning

7:13

algorithms essentially and our custom

7:15

weighted uh waitings around those along

7:17

with my experience uh labeling and

7:20

tagging and training our AI that is what

7:24

we realized we could actually license

7:26

for big dollars because the skill to

7:29

actually go in and buy these properties

7:31

and make money off of buying them is why

7:34

there's so much potential in this

7:36

industry. I mean take a look for a

7:37

moment. If you go into one of these

7:39

fixer uppers and you get obviously the

7:41

random uneducated comment of people that

7:43

like, "But Kevin, you're taking homes

7:46

from people who want to live there. Do

7:47

really you want to live here? I look at

7:49

this. This is disgusting. The roof

7:51

leaks. The patio leaks. The carpet is

7:54

disgusting. The kitchen is absolute

7:57

filth. I mean, this is this is not a

7:59

safe property for somebody to live in.

8:02

The last thing somebody should do is

8:04

move into a property like this because

8:06

it's just wrong. The backyard is gross.

8:09

Everything about this is just wrong. And

8:12

what's remarkable is it does take

8:14

investors to come into a property like

8:17

this with cash often and improve this

8:21

property to a state where somebody can

8:23

actually live there. Now, that's what we

8:24

do. We rent these properties out. I

8:26

mean, we just bought 11 properties. We

8:28

just rented out two out of the five

8:31

renovations that are well, four

8:32

renovations that are complete. We just

8:33

rented out two, each of them in under 7

8:36

days, which is fantastic. We expect the

8:38

next three will be rented pretty quickly

8:39

as well. Some of them might even be

8:41

rented within less than 7 days. So,

8:42

we're definitely cranking on that front.

8:44

But look at the after on that kitchen.

8:47

So, remember that filth in that kitchen?

8:48

Just look at the after for a moment. I

8:51

mean, this is the kind of property.

8:53

That's the same one that I showed you.

8:55

This is the kind of property that people

8:56

want to live in. They want to live in a

8:58

property that's cleaned up. But how do

9:00

people know how much money to spend on a

9:03

renovation versus where to put the money

9:05

and where not to put the money? And

9:06

look, here's another one that we're

9:08

renovating right now. This is pretty

9:09

nasty. Like, okay, then, you know, you

9:12

taking away homes from other people.

9:13

Really? You buy this then? People don't

9:16

want to live in this crap. It's full of

9:18

mold. This is disgusting. You know, we

9:21

just did demo on this property, so it's

9:23

completely been gutted and emptied out.

9:25

I'll put up a little segment of uh

9:27

myself and Jack there uh because it's

9:29

it's already transformed just by doing

9:31

some demo. But the point is if our

9:33

artificial intelligence can help people

9:35

do this and homeowners know where to

9:37

spend money, then this is a global

9:39

gamecher for real estate. Start with the

9:41

US and expand. And yeah, look, I want to

9:44

be clear. Obviously, I'm the CEO of this

9:45

company. I'm like mega optimistic, but

9:47

we just started as like let's use our AI

9:49

for our own buy and hodddles and that's

9:51

what we've been doing. And now I'm like,

9:53

man, we could license this. Let's just

9:55

see what happens when we launch it.

9:56

Boom. Explosion of people buying

9:58

lifetime access for it because we think

10:00

in the future we could charge people

10:02

two, threeund bucks a month to use this

10:03

because the product would be so good. We

10:05

could charge brokers or agents even more

10:08

because a they get a tax write off and b

10:10

they could put multiple clients in it at

10:11

a time. Basically doing their job like

10:15

augmenting a lot of their deal finding

10:17

job for them, right? That's the whole

10:19

point of AI, becoming a whole lot more

10:21

productive. So top producing agents are

10:23

going to love this for their buyers.

10:25

Like I'm jumping up and down on the

10:26

inside. You know, forgive me. Maybe I'm

10:28

too optimistic here. Red tip. Red tip.

10:33

Red tip. Got to complete my dambo. I

10:38

want all of it done. And you know what?

10:41

I'm making an executive decision.

10:46

Get rid of it. Get rid of the tub and

10:49

the shower.

10:52

I'M GOING TO HAVE TO burn my hand after

10:54

this. Is not savable. See this? The

10:58

water wicked up. Really gross. So, let's

11:02

just get rid of the whole door. I like

11:04

how it's labeled rest rooms. See how I

11:07

paused cuz they wrote it as like two

11:09

words? Maybe it is two words.

11:11

>> Maybe not.

11:12

>> Goodbye.

11:14

Bye, Felicia.

11:17

Oh, there goes the toilet lid. So, what

11:19

even the heck is our artificial

11:21

intelligence? I mean, obviously, we're

11:22

turning a new page of now EPS

11:25

profitability, which is great because,

11:26

you know, it means we can finish out our

11:28

rental renovations for the deals that we

11:30

acquire, and certainly we can go do more

11:33

acquisitions and scale them more. But it

11:35

also means we can now hire developers

11:37

and scale our artificial intelligence

11:38

even faster, which is great. But what is

11:41

the big benefit of our artificial

11:44

intelligence? Well, in my opinion, when

11:46

people buy a home, they want to know, is

11:49

their net worth going to go up or down

11:51

based on that acquisition. And what I

11:54

find today is that there is no good

11:57

neural net other than what we've created

12:00

for actually helping you determine

12:01

whether a renovation is going to

12:04

increase your net worth or decrease your

12:05

net worth. And that's what we're

12:07

creating. We're creating an app which is

12:10

already built uh and we're creating more

12:12

features that look at properties and

12:14

rank them based on the condition of

12:17

those properties. Give you over time an

12:20

estimate of not only what the condition

12:23

adjusted value of the property is, but

12:25

how that compares to the market value of

12:27

that property and renovation cost in

12:28

your area. And then essentially lets you

12:30

say, "Hey Kevin, if I go buy this and

12:32

renovate the kitchen and bathrooms,

12:33

painting it and floor it, how much would

12:35

my net worth go up?" Now, the beauty is

12:38

automatically across the entire country

12:40

without having to go back to servers

12:42

every single day. I'll explain that in

12:44

just a moment. We can rank every single

12:46

property that hits the market in America

12:49

by how much it potentially changes

12:50

changes your net worth. We believe that

12:53

is ridiculously valuable not just to

12:56

homeowners or to flippers or to

12:59

investors or to institutions, but we

13:01

also think it's exceptionally valuable

13:03

to people who want to renovate. Imagine

13:05

you take a picture of your bathroom and

13:06

you're like, "Man, I want to renovate

13:07

this bathroom. How much is my net worth

13:09

going to go up if I do this renovation?

13:11

Well, you can see based on the market

13:14

value of uh what your property is worth

13:17

right now, how much you're into it for

13:19

relative to how much it would cost to

13:20

renovate the bathroom and how much that

13:21

could potentially change the market

13:23

value of your property, all in an app."

13:26

And see, the cool thing is regarding

13:28

servers, you know, people always say,

13:29

"Oh, well, you know, your your compute,

13:30

your compute, why you spend all this

13:32

money on compute?" surprisingly because

13:34

we just have to rank all the properties

13:36

that people that hit the market on a

13:38

daily basis or that people upload to us

13:41

because we could just rank those once we

13:44

can then feed them to people who pay the

13:46

monthly fee for the service without any

13:48

extra server cost or nominal extra

13:50

server cost. I think there's a huge

13:51

advantage to this. This actually means

13:53

we could scale our product ridiculously

13:56

fast. I actually think that, you know,

13:59

it's surprising to me that people

14:01

haven't actually gotten into developing

14:03

real estate artificial intelligence

14:04

products like this. And somebody could

14:06

potentially buy the the I mean, if it

14:08

were for sale, I'm not offering it for

14:10

sale, but somebody could potentially buy

14:11

our artificial intelligence software and

14:13

get so far ahead in the world of

14:16

artificial intelligence to real estate

14:17

because nobody's doing this. That's

14:18

because, you know, I go to these

14:20

properties on nearly a daily basis to

14:23

find out, hey, how are our renovations

14:25

progressing? And I'm looking at the cost

14:26

and value of these renovations on a

14:28

daily basis. And we're going, okay, all

14:30

right. This is what's making money right

14:31

now. These are the trends. This is

14:32

what's in. This is what's not making

14:34

money on renovations. Here are the

14:35

mistakes to identify. Here are the

14:37

mistakes to avoid. And we can

14:38

incorporate that and train our neural

14:40

nets to do that. I spend a lot of time

14:42

training our neural nets. And so it's

14:43

actually coming from somebody who's a

14:45

real estate investor and has been a real

14:47

estate broker for, you know, what, 13

14:49

years as a broker, uh, 15 years in the

14:51

real estate game. And so this is what I

14:53

do for a living. And this is amazing

14:55

because it gives us an opportunity to

14:58

scale this product to realtors across

15:01

the nation. So that way if you know,

15:04

realtor Mike, let's say, uh, is in a

15:07

listing appointment with his client and

15:09

all of a sudden a great deal hits the

15:11

market, you know, some house over here

15:12

hits the market and, uh, the the client

15:17

gets a notification from the meet Kevin

15:19

app via, you know, Mike, the realtor

15:22

that says, "Hey, this actually looks

15:23

like it's a good deal." All of a sudden,

15:25

Mike comes back and says, "Wow, I got a

15:27

client who's ready to write an offer on

15:28

a deal. Kevin Zap already did the

15:30

valuation, already prioritized the deal,

15:32

and has us over there looking at it

15:34

before other people are looking at it.

15:36

To me, that's really valuable. Now, of

15:37

course, then people start wondering, oh,

15:39

you know, but is there now what if

15:40

everybody's using the app? It's a thing.

15:42

Not everybody does, and the people who

15:45

win will be the people who do in my

15:48

opinion. So, I'm really excited about

15:50

that. So, when people ask me about

15:51

Kevin, like where do you see this going?

15:54

Well, I see the total addressable market

15:56

for this software basically being as

15:59

many people buy homes and sell homes

16:01

every single year plus the people who

16:03

renovate homes. You've got four to 6

16:06

million transactions every single year

16:08

on average. That's huge. That's just

16:11

America. That's not even international.

16:14

And so, I think there's a huge value.

16:16

And we don't even rely, we don't even

16:18

need like artificial general

16:20

intelligence or some kind of big

16:21

increase in in AI compute capabilities

16:24

to keep blowing up what we're doing. We

16:27

don't need any of that. What we need is

16:29

just what we have right now, our dev

16:31

team, which we're hiring a couple more

16:33

for our dev team. Uh, and then what?

16:36

We'll scale it. Now, fortunately, we get

16:39

a heads up or sort of a a leg up, if you

16:41

will, by advertising for free on

16:43

YouTube. this AI that we have. A lot of

16:46

other startups don't have that benefit.

16:48

And so I'm really grateful that we're

16:50

able to do this. But what it means is

16:53

we've got to get to this next phase of

16:55

now working with venture capital folks

16:58

who look at this and go, "Wow, we can

17:02

market this." And so as a result, we're

17:04

like, "Okay, we'll start our marketing.

17:07

We'll be the proof point. And from

17:10

there, we're going to close our reggae

17:12

fund raise because why pay a 5% yield to

17:15

people, which we're doing, you know, I

17:17

mean, if somebody locks this in, I mean,

17:19

you could technically invest with wire,

17:21

a credit card, no fees. I don't

17:22

recommend that. I never recommend taking

17:24

on debt uh to make an investment, but

17:26

you can do that at househack.com. Just

17:28

make sure you read the offering

17:29

circular. You know, every investment has

17:31

risk. But what's remarkable to me is I

17:34

think this offering like I want to

17:37

invest more in it too before we close uh

17:39

at the end of this year because I see

17:41

this long-term potential. And every time

17:43

I make a video like this, I get comments

17:45

from y'all that say, "Hey, you should

17:47

include this. You should get Canada in.

17:49

You should get Europe in. You should

17:51

make it so that you know we can identify

17:53

code value uh uh violations when we uh

17:56

submit pictures of a property or

17:58

pictures of a panel or whatever." And we

18:00

can we can do all of that over time. And

18:03

so I think that and just this excitement

18:06

over what we're doing has moved us to a

18:08

state of profitability, which is really,

18:11

really exciting. And knock on wood, we

18:12

can keep this going. On top of that, we

18:14

get to now farm R&D tax credits, which

18:17

is just remarkable. But anyway, point

18:20

is, Houseack is closing its fundra

18:23

kicking butt. So for the people looking

18:26

for an update on Houseack, here it Why

18:28

not advertise these things that you told

18:29

us here? I feel like nobody else knows

18:31

about this.

18:31

>> We'll we'll try a little advertising and

18:33

see how it goes.

18:34

>> Congratulations, man. You have done so

18:35

much. People love you. People look up to

18:37

you.

18:37

>> Kevin Pra there, financial analyst and

18:39

YouTuber. Meet Kevin. Always great to

18:41

get your take.

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