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Our Artificial Intelligence Software | The HouseHack Wedge Finder AI.

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FULL TRANSCRIPT

0:00

hey everyone me Kevin here many of you

0:02

have been so interested in my new

0:04

startup house hack and the biggest

0:06

question we've been getting is Kevin

0:08

what's this AI you're talking about

0:11

everybody loves to throw around the

0:13

phrase artificial intelligence to try to

0:16

pump up valuations in fact Kevin don't

0:20

you do that all the time when you're

0:22

like oh reading those investor

0:24

presentations and you're like oh yeah oh

0:25

everybody's got it yeah I am and so I

0:29

want to show you what we have which is

0:31

actually our artificial intelligence I

0:33

can't show you everything but I'm gonna

0:35

do my best to show you as much as I can

0:37

without giving away the secrets to us

0:39

but we're gonna get into this right

0:42

after I give you a few updates on

0:44

fundraising and how this artificial

0:48

intelligence is actually going to help

0:52

us get more deals for househack keep in

0:56

mind this video is not a solicitation

0:58

for you to invest in househack if you

1:00

you are an accredited investor and you

1:02

want to invest in house hack go to

1:03

househack.com grab a letter from

1:05

investready.com upload it to

1:07

househack.com and you can invest if

1:09

you're a non-accredited investor stay

1:11

tuned I have heard all of your comments

1:14

in the comment section and in emails and

1:17

texts and in Discord join Discord by the

1:19

way metkevin.com chat if you haven't yet

1:21

and I am going to do my best to file in

1:25

an expedited manner for a reg a filing

1:28

that would allow us to raise funds as

1:31

little as five thousand dollars from

1:33

Individual investors who are not

1:34

accredited however that might take five

1:38

to nine months to go through I'm gonna

1:40

do my best to try to expedite that

1:42

starting today well actually starting

1:44

yesterday because I started yesterday

1:45

which is really really great now the

1:48

good news is we have only fundraised for

1:51

a full three business days and we are at

1:54

over

1:56

12.8 million dollars in committed funds

2:01

signed agreements this is amazing the

2:04

threshold for us to operate this company

2:07

and and actually complete this race is

2:10

25. so at this rate this is going to

2:13

happen we're gonna hit 25 potentially by

2:15

the end of the month which is when

2:17

people get the most warrants which is

2:18

really really cool and really exciting

2:20

so really appreciate the support from

2:22

everybody investing we have Investments

2:24

anywhere from twenty five thousand

2:25

dollars to five hundred thousand dollars

2:26

and we've got a lot of folks who just

2:28

heard about this on Sunday when I made

2:30

my first public video so they're working

2:32

on getting their investor relations

2:33

letters or I should say they're

2:34

accredited investor letters uh and I've

2:37

got people reaching out from family

2:38

offices hedge funds VCS it's it's really

2:41

overwhelming and it's it's really really

2:43

cool and exciting and so I want to share

2:45

that Journey with you uh it's also kind

2:47

of stressful because there's a lot uh

2:50

going on but it's but it's enjoyable so

2:52

uh that's a fundraising goal now why

2:54

would we have ai like this isn't this

2:57

not like is this not like a real estate

2:59

company or you just trying to snazz it

3:01

up by saying AI well the good news is

3:02

I'm not trying to snazz anything up

3:04

because the shares we're selling right

3:05

now are founder shares there's no

3:07

dilution like this is unheard of in the

3:09

startup Arena at least from I I

3:12

certainly haven't heard of it I haven't

3:13

heard of anybody publicly selling

3:15

founder shares or basically I have the

3:18

same value of share as you do so you put

3:21

a dollar in my dollar is worth the same

3:23

it's not like I put a dollar in and then

3:25

I sell you my shares for two dollars

3:27

none of that is happening it's really

3:29

cool there will be stock based

3:30

compensation in the future but that's

3:32

only going to be after IPO and we're

3:34

probably going to condition that on a

3:36

minimum return to investors first like a

3:39

50 return or a 2X or a 3X I don't know

3:41

something like that before I get paid a

3:43

dime not taking a salary no bonuses

3:45

we're going very Elon Musk style so it's

3:47

really really cool besides every company

3:49

has stock based comp anyway the big

3:51

thing is no dilution up front and that's

3:53

pretty cool with the founder shares so

3:55

why Ai and is this just the joke am I

3:58

just saying AI no it's actually real so

4:01

back in 2019 I worked with one

4:04

individual to create a vision based

4:08

artificial intelligence software Vision

4:11

Learning is not actually that

4:12

complicated you could probably write

4:13

yourself an A Vision Learning script you

4:16

know in a week uh you know I'm sure

4:17

there are probably some open source

4:19

models that you can use but the big and

4:21

most important piece about having a

4:23

vision learned AI is actually training

4:27

the model so I've been training this

4:29

model on my own interpretation of what a

4:33

wedge deal should look like see remember

4:35

a wedge deal is when I buy real estate

4:37

below market value I try to buy homes

4:40

for four hundred thousand dollars that

4:42

are in 550 000 neighborhoods they need

4:44

fifty thousand dollars of work now I'm

4:46

into the deal for 450 roughly that extra

4:49

hundred thousand dollars of boost that I

4:51

just got that's the wedge that's like a

4:54

three hundred thousand dollars and I

4:56

just want to go around the country

4:57

picking up my hundred thousand dollar

4:58

checks I think that's really really cool

5:01

and I can share that with investors

5:03

there's no fees uh you know like it's

5:06

not like fundrise where they we're

5:07

charging investors a ton of little fees

5:09

you know we're not a re we're not a

5:11

Syndicate we're a company we're an

5:12

actual company uh trying to scale wedge

5:14

deals well in order to scale wedge deals

5:16

I need to be able to look at all the

5:19

deals that hit the market and identify

5:21

okay well if I'm looking at 20 different

5:24

markets and we're really only going to

5:25

be buying real estate at first in three

5:27

different markets I will travel to those

5:29

areas I'll use the expertise I already

5:31

have in addition to local relationships

5:34

with agents and lenders and traveling to

5:36

the destinations we'll make YouTube

5:38

videos on these kind of like the good

5:39

old days and you'll see me go through

5:41

the process of exploring different areas

5:43

we haven't chosen exactly which markets

5:45

we want to choose yet but I'm going to

5:46

be on the ground traveling a lot for

5:48

these this is going to be a more than

5:49

full-time job for me and while I always

5:52

recommend that in my courses like on uh

5:54

the zero to millionaire real estate

5:56

course link down below with a coupon

5:57

code available that expires soon by the

5:59

way uh the uh the big thing that I

6:02

always say is don't invest in real

6:04

estate if it's outside of your 30 minute

6:06

radius your 30 mile radius essentially

6:09

and this is true for the part-time

6:11

investor somebody who's doing real

6:12

estate as a side Hustle but I'm going to

6:14

be doing this as my full-time job which

6:16

does enable me to get into two three

6:20

four five different markets at first get

6:23

those outposts established while the

6:25

market is crashing and then once we

6:27

believe the market has sort of leveled

6:28

out towards the bottom we're just gonna

6:30

go buy scoop up as many wedge deals as

6:32

we can however in order to do that at

6:34

scale I have to be able to identify

6:36

deals quickly I'm not going to use

6:37

software to do some stupid filtering

6:39

like anybody can do on Zillow like just

6:42

show me fixers or or you know show me

6:44

houses between this square footage and

6:45

this age I don't care care about your

6:48

filters I don't care about any of that

6:49

what I don't want is to waste my time

6:52

looking at deals that don't look like

6:54

wedge deals and there are specific

6:56

properties that look like wedge Deals

7:00

they have a certain aura about them not

7:03

always and we're still going to be

7:05

getting deals sent to us from Agents

7:07

we're still gonna be looking at the MLS

7:08

we're going to look at foreclosures and

7:09

off Market deals this is just something

7:11

that I consider the safety net like if

7:14

this app is telling me Kevin wedge the

7:17

alert wedge deal alert I better have

7:19

already seen it and if I haven't seen it

7:20

it's like the safety net for me right or

7:23

if I go into a new market or even an

7:25

existing market and I just want to go

7:26

through and and double check my wedge

7:28

deals in the area it'll just tell me

7:30

here all the wedge deals in this area

7:31

and and I can double check and see uh oh

7:35

do I actually think this is a wedge deal

7:36

and so the way this works is the app

7:38

uses the pictures of properties that are

7:42

listed online and then assigns a rating

7:45

between 0 to 100 as to the likelihood of

7:48

it being a wedge if it finds something

7:50

that's a wedge first I have to make sure

7:51

it's it's not a false positive but then

7:54

what I'll do is I'll actually go to the

7:56

listing and I'll manually run the comps

7:58

and I'll manually underwrite the deal so

7:59

it's not like some app is just going

8:01

around buying houses that's we're not

8:03

there yet I don't know if we'll ever be

8:05

there but I'm going to give you a few

8:06

examples of how this works okay so uh

8:09

first uh I want to start with what's not

8:12

going to look like a wedge deal so let's

8:14

go ahead and start with some newer uh

8:16

listings so here's just an example of a

8:19

one photo and we can see here instantly

8:22

instantly I can tell you the odds of

8:25

this selling below market value

8:26

extremely low the new paint the flooring

8:29

the wood staircase the the modern door

8:32

uh the the cool lighting I mean

8:35

everything about this says that is not a

8:36

wedge deal all right that is the odds of

8:38

that selling below market value

8:39

extremely low now if it were super under

8:41

listed we might still see that through

8:43

other filters that we have or through

8:45

agents or whatever but the a AI is

8:47

telling us don't even bother with this

8:49

one that's not a wedge deal now here uh

8:52

we'll go to the maybes in a little bit

8:53

here is an example where a lot of you

8:56

know that I love wood colored cabinets

8:58

like the old 1950s stuff and the 70s

9:00

stuff because that could signal a wedge

9:01

deal right but we have to be careful

9:03

because this has wood cabinets but it's

9:07

not going to be a wedge deal this is not

9:09

going to sell below market value I don't

9:11

even have to waste my time looking at it

9:13

so I could go through and teach this

9:15

algorithm everything that's not a wedge

9:18

deal like pretty much guaranteed not

9:19

going to be a wedge deal this has

9:20

nothing to do with price it only has to

9:22

do with the picture uh let me give you a

9:25

couple more examples here so uh

9:27

sometimes you get these sorts of

9:28

properties where where they're kind of

9:30

like oh at first like that looks weird

9:32

like is that acoustic ceiling is that

9:34

mold what is it this is just a very

9:35

masculine style and so I have to teach

9:38

the app to identify different styles

9:40

feminine Styles masculine styles of

9:42

construction in terms of what's not a

9:45

wedge deal right and so that's what I do

9:46

I teach it and it takes tens of

9:49

thousands of photos that I have to label

9:51

manually with my eyes nobody else can do

9:54

that but in the future other people can

9:55

use this app and we might license this

9:57

app out as sort of a software as

9:58

Services Revenue because think about if

10:00

I can sell to every single agent

10:02

property manager investor for like a

10:04

small fee hey use Kevin eyes like get

10:08

Kevin's eyes and Kevin's trained wedge

10:11

deal finder for a small monthly fee

10:14

that should make some dollars you know

10:16

what I mean and it doesn't cost us extra

10:18

that's what's great about software as a

10:19

service right so I'm really really

10:21

excited about that here's just another

10:22

example of something that's obviously

10:24

not going to be a wedge deal so let's go

10:28

in the extreme and uh let's go to the

10:30

angle of what what looks like it could

10:32

potentially be a wedge deal okay well

10:35

the first one that I want to show which

10:37

I think is actually kind of like a

10:38

comedy one uh is uh oh where is it so I

10:42

saved all the photos but that one it was

10:44

hilarious when I saw it because I

10:46

thought it was like I I kind of joked

10:48

with the team I'm like this is a his and

10:50

hers wedge deal this is crazy uh here we

10:52

go

10:54

so take a look at this uh this had a 96

10:58

likelihood of being a wedge deal and uh

11:03

let me make sure no uh proprietary info

11:06

is given so I'm just going to zoom in a

11:07

little bit there okay there we go uh

11:09

take a look at that

11:10

uh his and hers kind of funky lazy boys

11:14

the old ceiling fan the drapes oh the

11:17

drapes the gold fireplace the carpet

11:19

that's kind of wrinkly right and so this

11:21

had a 96 chance of being a wedge deal uh

11:26

and and I I agree now that is something

11:28

where then that would prompt me to go

11:30

look and say okay like do I actually

11:32

think it's comped right because it could

11:35

be listed for a million dollars and it's

11:36

worth five hundred thousand dollars then

11:38

it's not a wedge deal right but it just

11:39

triggers me to go look that lets me

11:42

scale Kevin for the entire company right

11:45

really really really exciting take a

11:46

look at this folks uh this is uh a 98

11:50

likely wedge deal uh the flooring looks

11:52

decent but when you look closely the

11:55

carpet is nasty you've got the old brown

11:57

wood over here the old fixtures look at

11:59

all the sort of like Grime on the walls

12:02

down there the fireplace looks nice so

12:04

you've got a little bit of a balance

12:05

there but you can see some paintings

12:06

were there like this is

12:08

this this has a chance of selling below

12:10

market value now how much below market

12:11

value is it is it 50 000 after repairs

12:14

under market value is that a hundred

12:15

thousand dollars under like what is it

12:16

right uh here's another one this one

12:18

only had a 78 chance likelihood of being

12:21

a wedge heel because it shows a lot of

12:22

personal property at least I'm assuming

12:24

that's what the algorithm is picking up

12:25

uh not so much of the property but I see

12:27

those drapes I see that old uh I see

12:30

that old uh a paint color there I don't

12:32

know to me uh it's got some potential

12:34

okay and besides who who lists a

12:36

property like that right so like this

12:38

isn't that complicated somebody could

12:40

copy this uh but the difference is it

12:43

wouldn't be trained like Kevin uh and

12:46

that that's a very very important

12:48

difference is having something that's

12:49

trained like Kevin now here's a

12:51

complicated one okay this just shows you

12:52

some of the edge case scenarios so

12:54

here's an edge case so this particular

12:56

photo looks like it's a remodeled

12:58

kitchen right but if you look closely

13:00

what's at the top right and top left of

13:02

the photo can lights that are hanging

13:04

down from the ceiling uh and you can

13:06

actually see Plywood And unfinished

13:08

feeling that's probably a wedge deal

13:10

even though it looks remodeled because

13:13

there's construction going on and

13:14

they're selling it under construction

13:15

it's probably going to sell well below

13:16

market value

13:17

like that's cool I like that those are

13:21

some opportunities right here's another

13:23

one that's under construction just to

13:24

sort of give you an idea of uh and this

13:27

was another deal that was brought to me

13:29

by the wedge finder you know if I'm

13:30

looking in uh Texas or Florida or

13:33

whatever I don't have time to go through

13:35

every single listing but I do have time

13:37

to teach this algorithm which take a

13:39

look at this uh and so that way I'm only

13:42

spending my time on listings that

13:43

actually matter which I do have time for

13:45

so this photo is like dark it's a bad

13:48

photo but it's a remodeled property

13:50

right so you have to teach the algorithm

13:51

to identify that's not a wedge deal for

13:53

example or it's unlikely this is all

13:56

about likelihoods right unlikely to be a

13:58

wedge deal uh same thing with this it's

14:00

like bad angle bad photography bad

14:03

lighting but that that is not gonna sell

14:05

as a wedge deal it's not the most modern

14:07

remodel but I it's on the switch deal so

14:09

if you want to learn more about this

14:11

company and you're considering investing

14:13

remember this is not a solicitation go

14:14

to househack.com to read the PPM that is

14:18

your solicitation the PPM make sure you

14:20

read that document entirely if you want

14:22

to invest get a letter from your

14:23

attorney CPA upload your W-2s or tax

14:26

returns to verify you're an accredited

14:27

investor you can get a letter from

14:29

investready.com go to househack.com if

14:32

you invest prior to the end of the month

14:34

you get more warrants which are

14:36

technically non-dilutive because we're

14:39

raising one dollar of Cash for every

14:41

dollar of Warrant that we sell uh or or

14:43

Grant and then eventually redeem that'll

14:46

make sense just go to the website at

14:47

househack.com

14:49

uh uh and then um yeah I'd love to have

14:52

you on board as an investor this is a

14:53

complete one take here no edits on this

14:56

one which is great uh that'll be easy

14:58

for me to upload then this keeps me

14:59

efficient for other businesses as well

15:01

remember business is all about

15:02

efficiency I did want to provide some

15:04

transparency this is a vision-based

15:07

artificial intelligence software it's

15:09

not a matter of building it and I'm not

15:11

trying to discredit the work that our

15:13

wonderful engineer has done and the

15:14

connection that we have it's an outside

15:16

contractor so they're not on payroll

15:18

when they're not working I don't have to

15:19

pay them it's the best way to be

15:21

efficient and lean because I don't want

15:23

to pay hundreds of thousands of dollars

15:24

for software Engineers when we actually

15:26

don't need new software at the moment

15:28

what we need is me continuing to train

15:31

this every single day and that's my

15:32

effort not what we're paying somebody

15:34

else to do right you know some people

15:35

are like oh but Kevin like uh you know

15:38

why can't like Zillow or Redfin or

15:39

whatever do that sure go ahead find

15:42

somebody who even understands what a

15:43

wedge deal is within the company and

15:45

then task them to do this and then

15:47

actually execute on it yeah right it's

15:49

not even worth the time for these

15:50

companies that's not a priority for them

15:52

they've grown so big they don't even

15:54

care about wedge deals anymore so I'm

15:57

not worried about the competition

15:58

scaling this app will be really

16:00

incredible and then selling it in the

16:02

future as a subscription on like the

16:04

Apple App Store or whatever huge

16:06

potentials for househack I mean that's

16:07

just gonna be free cash flow that we're

16:09

gonna dump right back into uh

16:11

Investments you know minus some

16:13

miscellaneous expenses and that for for

16:15

apis and that but uh boy I I have to say

16:19

I'm very very excited I think I've

16:20

roughly addressed every uh every thought

16:23

that had come up regarding questions

16:25

about this I'm sure there are going to

16:27

be other people that have questions

16:28

leave a comment down below uh let's see

16:31

here

16:33

um

16:34

okay uh oh yeah and remember this is not

16:37

a real estate deal analyzer this is a uh

16:40

wedge deal identifier which then a human

16:43

aka me does the analysis on right this

16:46

is not doing a cash flow analysis it's

16:49

it's none of that right uh it's a it's a

16:52

constantly learning Artificial

16:54

Intelligence being essentially that I

16:57

have to teach every single day all right

16:58

I think I've answered everything thank

17:00

you so much for your support I'm so glad

17:02

to be back and folks we'll see in the

17:03

next one goodbye

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