December 29, 2025 • 38 mins
In this episode of the Rent-ish Podcast, hosts Zach and Patrick welcome William Hollis, founder and CEO of Raise AI, to discuss the intersection of artificial intelligence and real estate investing. Hollis shares his journey from coding at a young age to realizing the inefficiencies in capital raising within the real estate sector. The conversation explores how AI can streamline processes, the emotional aspects of real estate transactions, and practical advice for first-time investors. Hollis emphasizes the importance of personal connections in residential real estate while also highlighting the potential for AI to revolutionize the industry.
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Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
SPEAKER_00 (00:35):
What's going on, everybody?
Welcome to season two of theRentish Podcast.
I'm Zach, and I'm here with myco-host Patch.
SPEAKER_01 (00:41):
We're two rookies chasing the dream of real estate
investing.
In this podcast, we'll talkabout property management, wild
stories, and everything inbetween.
We don't know it all yet.
SPEAKER_00 (00:50):
That's the point.
We're learning as we go, justlike you.
We'll bring in the experts toeducate and inform us, hint
hint, about what's about tohappen here in the next five
minutes, and we'll figure it outtogether.
So let's laugh, learn, and diveinto real estate side by side.
Patch Yeah.
You know what it is.
We've we've been doing this showfor a while now.
Everyone, this episode'sprobably coming around around
(01:10):
the holidays.
You're nestled up in your homewith your favorite candle and a
blankie and a cup of hot cocoa,and you're down to listen about
property management and realestate, huh?
SPEAKER_01 (01:19):
I'm aware of the situation.
SPEAKER_00 (01:20):
Uh very aware.
Well, everyone out there, thankyou for listening to this
episode.
It's gonna be a really fun one.
We do have a very, very specialguest that we're gonna get to
here in just a second.
But remember, follow the show onyour podcast platform of choice
if you're on Spotify, if you'reon Apple Podcasts, wherever you
get your podcast, you can findthe Rentige Pod there.
Be sure to like us, rate us,review us, leave us a comment,
tell us how much you appreciatethe show, or give us a topic
(01:43):
suggestion for what you want tohear us talk about.
And you can do that by sendingan email to questions at the
rentigepod.com and tell afriend, tell a friend that might
not know about the podcast.
And we'd love for you to sharethe goodness, share the share
the cheer, the the warmth andcheer of our of our lovely show
here.
And we have to talk about thisrandomly.
If we appeared on your Spotifyraft, I don't know if there's
(02:04):
anybody out there, but ifanybody out there had the
Rentish on your Spotify raft,tag us at the Rentich Pod on
socials.
SPEAKER_01 (02:13):
I I I do not listen to podcasts on Spotify, but I
had listened to like an episodeof The Rentich Pod on podcast.
It was my number one podcast,and I hate that so much.
SPEAKER_00 (02:24):
That's great.
You should you should uh postthat on social media.
It gets some buzz going.
You're like probably in like thetop.001% fan joke.
Uh all jokes aside, all jokesaside.
All right.
Enough enough sitting around,enough goofing off.
Ordinarily I'd ask you aboutlike what movies you've seen or
if you're having a good time,but uh right now we have to just
(02:46):
get into it.
We got to talk uh to our veryspecial guest who are here with
William Hollis, the founder andCEO of Raise AI.
If you're new to real estate orjust starting to raise money,
this is a guy that you want tolearn from.
Hollis comes from a rare mix ofworlds.
He taught himself softwareengineering, worked on AI
systems for brands like Disneyand Nike, and jumped into real
(03:08):
estate and realized somethingmost people don't want to admit.
Raising capital is way toomanual, way too messy, and slows
down deals that should bemoving.
So instead of complaining, hebuilt tools to fix it.
And now he helps real estateinvestors communicate with their
investors faster, stayorganized, and all that good
stuff.
William, thank you so much forjoining us and thanks for being
(03:28):
on the Rentish Pod.
SPEAKER_04 (03:30):
Thanks for having me, guys.
I love the uh tag team vibe youguys have going on.
This is yeah, this is probablyone of the only uh shows I've
done that have two hosts.
So it's pretty nice.
Did we botch your intro, by theway?
That was that was you guysnailed it.
I feel like I was taking notes.
I was like, wow, did I do that?
unknown (03:48):
Did I do that?
SPEAKER_00 (03:49):
It's cool.
No, it's it's it's awesome.
Yeah, we're with the tag team ofpodcasts.
I think uh we're gonnaofficially quote that on the
back of the on the when werelease the show on the album
art.
We're gonna say tag team ofpodcast duos, quote William
Holland.
Try to get some fame going.
Well, how's your day going?
Thank you for being here.
You're you're excited to be onthe show.
SPEAKER_04 (04:10):
Absolutely, man.
Uh, appreciate you guys forhaving me.
Um, love to uh talk, shop, andjust have a good time.
Cool.
SPEAKER_00 (04:17):
Well, we'll keep it simple right out the gate.
I mean, we'd just love for you.
I mean, I gave you a little bitof an intro, obviously, there,
but we kind of just want to hearit from you.
Like, what's your story?
Like, what tell us about how yougot into the industry, you know,
why what makes you tick?
SPEAKER_04 (04:31):
Yeah, for sure.
So I'm I'm Hollis from HollisQueens.
My first name is William, but mylast name is Hollis.
Believe it or not, I grew up inHollis, Queens, two blocks from
Hollis Avenue.
Oh no way.
And so everybody just calls meHollis.
SPEAKER_01 (04:42):
Oh, that's cool.
That's a kill.
That's awesome.
SPEAKER_04 (04:46):
You're like me, you die in Hollis.
I I wish one day I'm gonna ownsome uh own some property there,
right?
That's the that's the goal.
But I bring that up becausethat's really where kind of my
real estate journey began.
You know, growing up in the 90s,rented a house with our family,
family of five.
So my brother and my sister, momand dad.
And uh, we had our landlord,he's coming by every first of
(05:07):
the month.
Um, and you know, in the 90s,everyone paid their rent in
cash.
So his name is Mr.
Carter.
Every first of the month, Mr.
Carter's just shoving hundreddollar bills into his wallet.
Like I have the a very clearmemory of being around five
years old and seeing his walletso fat that he couldn't fold it.
It had so much money in it, hecouldn't fold his wallet.
(05:28):
And he would put try to put itin his back pocket, and he had
uh one of those four toruseswith the cloth seats, and he
would sit on his wallet, and thewallet was so big that the seat
would just kind of buckleunderneath the five-year-old me,
you know, we're like scroungingtogether two nickels to keep the
lights on.
And I see Mr.
(05:48):
Carter, and I think to myself,I've got to figure out how to do
what Mr.
Carter is doing.
I don't know how he owns allthese houses, but he's doing
something right.
So um that's what kind of gaveme that early bug for real
estate investing.
I didn't actually take anyaction for many, many, many,
many, many, many, many, manyyears after that.
But that's what uh gave me thebug initially.
SPEAKER_01 (06:10):
Okay.
If if you were if you were fiveyears old in like, let's say
2025 and you just saw like Mr.
Carter's phone screen and justsaw like a big number on his
bank account would have hit thesame.
SPEAKER_00 (06:23):
That's cool though.
So at what point, at what pointdid AI into the mix for you?
Because that's one of the, Ithink that's the probably one of
the biggest things that we're Iwould want to hear about today
from you is that that's thebuzzword, right?
In in the world.
That that's the word.
People want to talk about itchanging the way that we look at
just about every part of ourlives.
But when did that come into thepicture for you?
(06:44):
And how tell us a little bitabout that.
SPEAKER_04 (06:46):
Yeah, sure.
So I started learning to codewhen I was probably 11 or 12.
Um, I was playing Sega Genesis,and then my my mind was blown
that I was pressing the buttonson the controller and Sonic was
moving back and forth on thescreen.
Absolutely.
I was I always from then I hadthis kind of curiosity of how do
(07:06):
I make these games?
Like how does this all of thisstuff work?
You know, in the late probablyprobably 90 1997, we got our
first computer and I took thewhole thing apart, got my butt
beat because it was ourcomputer, family computer.
I did put it back togethersuccessfully though.
I did put it back together, butstarted teaching myself how to
code.
I didn't have a professional jobin software until I was uh like
(07:28):
23, 22, 23, 24, something likethat.
But I had taught myself allthese skills up until that
point, just traveling arounddoing odd jobs before I came
into the professional world.
But the first job I got sittingbehind a desk was an answer to a
Craigslist ad that said makecomputers talk.
Um and it was an ad for acompany called Creative Virtual,
I believe they're still around,but this was an enterprise-level
(07:51):
AI company way before AI wascool.
This is 2012, maybe 2013,something like that.
And I got an entry-levelposition at this company doing
uh a knowledge as aknowledge-based engineer, which
basically meant meant Iprogrammed our internal large
language model through dataentry.
(08:11):
Like as boring as you can think.
Data entry.
But it was at an AI company, andI, you know, slowly but surely
over the years, kind of with myown curiosity and staying in the
CEO's face all the time, um,kind of worked my way up to
being the senior uh softwaredeveloper at that company.
And then um And you said thiswas sorry, this is like 2012,
(08:33):
2013, just so I can.
But I got started, yeah.
But I got started there.
Yeah, that company had they hadbeen around already for maybe 10
years though.
Um so AI is a lot older than metoo.
SPEAKER_01 (08:42):
I was about to say, like, I've I like I would have
thought back then AI is justlike a science fiction movie
thing.
You know, I didn't know theywere real companies.
SPEAKER_00 (08:49):
Like oh yeah, oh yeah, yeah.
Well, it's funny that youmentioned the the video game
aspect of like with that beinglike a starting point for you.
Like I also got into tech as ayoung age because of like
playing Sonic on the SegaGenesis.
I love that stuff.
But like the first time Iremember hearing about AI, other
than like science fictionmovies, was AI characters in the
(09:10):
video game.
Like you have program AI to likebe the enemies.
Like if you're going into a roomin a video game and there's like
a bunch of enemies that aregonna attack you, those things
have an AI programmingassociated with them.
So um, that's cool that you gotthat too.
SPEAKER_04 (09:26):
Yeah, man.
That was uh making video games.
I remember designing my ownversion of uh Mario, Super Mario
Brothers on ActionScript.
So for any nerds listening willknow what Action Script is.
SPEAKER_00 (09:40):
Yeah, plenty of those listening.
SPEAKER_04 (09:42):
Early 2000s, early 2000s tech that we thought was
groundbreaking and doesn't evenexist anymore.
So all right.
SPEAKER_00 (09:49):
So then what made you look at real estate and
think like raising moneyshouldn't be this manual?
Like there's got to be some sortof way to automate this.
Like, was there a specificmoment that really stuck out
where you were like, I can takethis technology, I can work with
AI, and I can bring it into theworld of real estate?
SPEAKER_04 (10:02):
Yeah, absolutely.
It was after I'd been in realestate for a little while, I was
wholesale in real estate.
So for those who don't know,that's basically when you find,
you kind of point out deals forpeople who actually have money
to buy those deals, and theygive you a little cut of the
deal for that, right?
So I was doing that for a while,tried to go and buy my own uh
multifamily building.
(10:22):
I think it was uh two seven,like 34 units if I remember
correctly.
It was like two 17 unitbuildings next to each other,
something like that.
Um, and then I tried to raisethe money.
We had to raise about fourmillion dollars in equity, um,
meaning like cash to uh be ableto get qualify for that loan.
Um failed miserably in order todo in that attempt because
(10:44):
raising money is hard.
Um so I joined a mastermind forspecifically for raising money,
for raising capital for realestate.
It's called uh Raise Masters.
I get in this mastermind and I'mlearning, you know, how do you
raise money, right?
All the ins and outs, and how doyou build an investor list, how
do you find, you know, investorleads, et cetera, et cetera.
(11:05):
And they were fairly technologyforward for the time, right?
But when I spoke to the actualoperators, the guys who were
doing deals, and you know, tryto learn straight from the
horse's mouth, so to speak, itwas kind of like, yeah, I got
this Excel spreadsheet overhere, and I just kind of call
down the list and I try to makea note, or you know, I've got
this Gmail blast that I do and IBCC every contact so that no one
(11:29):
else knows who's on who's on thethread.
Uh or um some guys, actually,some of the larger operators had
a physical paper rolodex.
Wow.
That they were just like, yeah,I've got this name, this, these
names, and you see this one'sgot a little star on it.
That means he's a good guy.
He's a good investor.
The guys who don't have starsare just okay.
(11:50):
And as a reveal comes in, I justflip through this bad boy and
start working the phones, youknow?
And so this is, I'm I was stillworking for the AI company at
the time.
Okay.
(12:22):
I mean, AI had already made alot of leaps and leaps and
bounds.
And coming into this, I waslike, guys, what?
Are you really doing this?
Is this how this actually works?
Aren't you all rich?
Like you haven't easy you don'tknow what technology is
available.
So that was kind of an ahamoment for me when I saw really
behind the scenes, there's whatwas being taught, which was
(12:45):
great, but like behind thescenes what people were actually
doing.
And I said, This, we've got alot to a lot of room for
improvement here based on theavailable technology.
SPEAKER_00 (12:55):
Okay.
Cool.
So raise AI.
Yeah, I wanted to make sure Iwas like, what?
No, the dramatic pause wastotally on purpose there.
Yeah, yeah.
Everyone listening, that was thejoke.
Yeah.
So uh, so I mean, like, what'sit what's your day-to-day look
like now with the with thecompany?
(13:16):
Like, I mean, like what whatlike where can people find your
your product?
Like, you know, just kind ofgive us the rundown about about
what Raise I can offer forcustomers out there.
SPEAKER_04 (13:26):
Yeah, so to do that, I'll give you the background of
how Raise AI came to be.
Um, it was really simple.
I was in Raise Masters and I hadstarted building out some of
these automated systems withsome light AI tools and things
like that.
And uh because I was part ofthis community and people were
helping me out a lot, I did itfor free for them.
I was just like, hey, if youwant to be on like an office
hours call, like we had thislittle like hangout call we used
(13:47):
to do, and if people wanted tosee what I had done or they
wanted to learn how to do it, Iwould literally just share my
screen and walk them through andbe like, yep, download this,
click this there, boom, boom,boom.
The whole idea behind it is howdo you find investors faster,
how do you build their trustfaster, and how do you nurture
them all the way to the pointthat they actually put the money
(14:09):
into your bank account so youcan go spend it faster.
Right.
And that's the problem that uhRadio solves to this day.
But initially it started out asjust doing it for people on
these coaching calls every otherweek.
And then one day I'm working onit for a guy and he's like, Man,
Hollis, it's taking you a whileto do this.
Like it took me like a month orsomething like that.
And he's like, Would you gofaster if I paid you?
(14:32):
I probably would go faster ifyou paid me.
SPEAKER_01 (14:37):
You're like, no.
Actually, I'll go slower.
SPEAKER_00 (14:41):
So if you'd be surprised than that, I'm just
gonna take my time.
That's awesome.
That's awesome.
It sounds like it provides areally great tool for a lot of
people out there.
SPEAKER_04 (14:50):
Yeah, it's it's really it's really good.
I mean, um, we've got a lot ofreally cool case studies of
people who've been able to, youknow, raise money, close deals,
find more investors.
Because the interesting thingabout raising capital for
anything, but in particular forreal estate, when typically
you're not looking for oneinvestor, right?
So oftentimes when you'reraising VC, you've just got to
convince a guy or a board ofguys, right?
(15:12):
When you're raising capital forreal estate, let's say you're
buying a you know$20 millionapartment building, you could
have anywhere from you know 10to 100 investors, LPs in that
deal.
So you've got to be able tomaintain all those relationships
and and you know find thosepeople, first of all.
Right.
So which is which can be uh itcan be daunt, it can be
(15:33):
daunting.
So adding in automation and AIinto that just makes the process
a lot smoother.
Sure.
SPEAKER_01 (15:39):
Real quick question.
So you said I think I heard anacronym there.
And whenever whenever we hear anacronym, we're like, we gotta we
gotta know what this acronym isfor the listen for the
listeners.
Yeah, right.
SPEAKER_00 (15:50):
Yeah, just purely for the listeners, not for any
other purpose, not so that weget educated.
SPEAKER_01 (15:55):
Did I hear LB?
LP L P L P.
Okay.
What is that?
SPEAKER_04 (16:00):
Loss prevention?
No, actually the opposite.
Oh, really?
SPEAKER_00 (16:04):
Oh crap.
I thought I had I thought I hadto do that.
SPEAKER_04 (16:09):
Try again, try again, try again.
SPEAKER_01 (16:10):
Yeah, that's not the what is an LP then?
SPEAKER_04 (16:14):
LP stands for limited uh partner.
Uh basically, whenever you havewhat's called uh a syndication
is uh one of the more technicalterms, but it's basically a
group of people that buy aproperty, right?
You've got the operating teamthat makes the day-to-day
decisions, hires thecontractors, gets the loans, all
that sort of stuff.
That team of people can beanywhere from you know one to
(16:36):
ten people, maybe moresometimes.
It's called the GP, the generalpartnership.
And then the partners that justbring equity, so they just bring
cash to invest in the deal.
Those are called the limitedpartners.
They have no realdecision-making power on the
day-to-day basis, uh, but theyalso get the largest share of
the profits from the deal,right?
(16:58):
So they take more risk becausethey put in their own capital.
Usually the GP, the LPs put inthe actual cash.
The general partnership puts ina little bit of cash, but their
biggest contribution comes fromthe bank, which is gonna be 50
to 60, you know, 75% of thedeal.
SPEAKER_01 (17:12):
This is ringing a bell.
Because we we did have a tax guyon here like maybe two months
ago.
And now I didn't know it was LPwas like the cool way to say it.
So now I now I know.
Um, that's it's so with whatyou're doing with with Ray's AI,
because I I mean I feel like AIis kind of making its way into
(17:34):
every aspect of our lives.
Are you kind of like ahead ofthe curve on this one?
Is this like a like is AI reallybooming in this area?
Do you have like a lot ofcompetition?
Are you like still, are youstill competing with like sort
of the the manual way, so tospeak?
SPEAKER_04 (17:47):
So it depends on where you sit, right?
So from my perspective, I feellike there's a lot of
competition, but that's becausethe algorithm knows what I do
and shows me ads for mycompetitors all the time.
SPEAKER_00 (17:58):
Interesting.
SPEAKER_04 (18:00):
But when you look at actual market share percentage
of our when we did our lastcheck, there were between
100,000 and 150,000 small tomid-size real estate private
equity funds, meaning groups ofpeople that go out and try to
find buildings to buy, we'llcall it for simple terms, not
necessarily buildings, but forsimplicity, try to find
(18:22):
buildings to buy and then raisecapital from the LPs, right?
There's about a hundred thousandto a hundred and fifty thousand
of those.
Last we checked, I think wechecked earlier this year.
So I can have a very, veryhealthy business if two percent
of those people are my clients.
Right.
So is there a lot ofcompetition?
Probably, but I also don't needall 150,000 of those people to
(18:44):
be my clients.
You know what I mean?
Um, as far as being ahead orbehind the curve, I think we're
definitely ahead of the curve inthat not only my own personal
experience in AI, but my team'sexperience in the other side of
this, which is marketing, right?
How do you actually find highnet worth individuals,
accredited investors who arecapable and legally allowed to
(19:07):
invest in private placements?
We have our our team has 15years' experience doing that.
I have about 15 years experiencein AI.
Now, the great equalizer is howfast this technology changes,
right?
So I do AI consulting formid-sized businesses, meaning
I'll fly out, give them atwo-day session, how do we use
AI in your business, and youknow, walk them through really
(19:28):
practical use cases for theirbusiness.
The first slide I show them is Idon't know anything.
Because on the flight here, anew thing came out and I was on
the plane, I didn't hear aboutit.
Sorry, bro.
You know what I mean?
So there's that factor, like thethe technology moves so quickly
that you can't create a giantknowledge gap.
(19:50):
There's no insane secret saucethat you can create, but the way
you package to get packagedtogether and the experience that
we bring to the table isdefinitely unique.
SPEAKER_00 (19:57):
Yeah.
Yeah, and that learningexperience I think is true for
everybody in the or at leastmost people in the world that we
live in now with AI, like peoplein different not even in just
just real estate, in a lot ofother general places are
learning to like work with itand see how it, you know,
balances out with your typicalwork and how it weaves in and in
and out of your life.
And so yeah, it's cool.
(20:18):
That so, what what what issomething that real estate
people are still doing likemanually that you think AI
should just be taken care ofinstead?
SPEAKER_04 (20:25):
Oh, underwriting, right?
So um, that's something that weuse it for internally.
Obviously, we use it for muchlarger properties with much more
complex underwriting.
But let's say you're an investorand you just want to buy single
family or small multifamily, youknow, two to four unit
properties, and you're like,hey, I want to I live in
Connecticut, right?
So we'll take that market andsay, Hey, I want to buy these
(20:47):
kind of properties inConnecticut.
I don't know where to find them.
I'm kind of looking on Zillowand only as that thing.
Pop my inbox and then I gottaput the numbers in the
spreadsheet and like write somestuff down and then try to call
the realtor and figure out AIcan literally do that entire
process.
You can build a very, verysimple AI tool that listens for
Zillow postings and you give ityour criteria.
(21:09):
It's then you say, hey, I wantthese buildings with these kind
of buildings with these kind ofmetrics or these kind of homes
with these kind of metrics.
Here's my buy box, and AI willfind the deals that look like
that as they come up.
It can reach out to the realtorwith your offer all ready to go.
So we we built internal toolslike that, and we're we're able
to underwrite hundreds of dealsa day.
Hundreds of deals a day.
(21:30):
Whereas, you know, that'ssomebody's job before was trying
to underwrite five, two deals aday.
Now AI can do that withreal-time data on top of that,
right?
So we pay for a few differentdata sources from some you know
data brokers.
So that gives us access to alittle bit higher level data,
real time.
But most of the stuff isavailable.
You Google around, you can pieceall the stuff together.
SPEAKER_00 (21:49):
So if you uh Patrick, I don't know if you
remember this, but I think itwas like a month or two ago, we
did an episode where we coveredthere was a news article that
came out about uh Zillowincorporating AI agents into
their software.
And Patrick and I, obviously, wejust kind of joked around about
a lot of it because that's theshow.
But one of the things we didlegitimately talk about is like
envisioning a world without thewithout needing a real estate
(22:11):
agent anyway.
Where it's like if you have anAI agent that can kind of help
walk through the process, youhave companies that are able to
do the you said underwriting isthe term that you used.
Being able to actually composeand create these deals and then
have it be sent to someone.
It's like you could see, couldyou personally, from your
professional experience, see aworld where that kind of goes
the way of the dodo?
SPEAKER_04 (22:30):
Yeah, I mean, it's interesting because it depends
on what kind of real estateyou're talking about.
I think for residential realestate, you will always have a
realtor because residential realestate is a very emotional
experience, right?
You're buying your home for yourfamily or you're selling your
family home.
You're that's a it's a veryemotional thing.
Commercial real estatedefinitely could it could go
(22:52):
that way because that's just anumbers game.
Like, I don't care who you areor what the story is.
Do the numbers work yes or no?
And that's just a spreadsheet,right?
And then the spreadsheet looksgood.
All my little boxes are green,and I send Zach an email that
says, Hey, my boxes are green.
Will you take 10 10 milliondollars?
And Zach's either going to sayyes or no.
SPEAKER_00 (23:12):
Say yes to that amount of money.
If anyone wants to go ahead andoffer that.
You know where I live at radioat the rentice pod.
You know where to find me.
No, that's cool.
Uh yeah, Patrick.
That maybe that goes to saymaybe we need to look inward
because in our entireconversation about that, we
never we never thought about theemotional aspect of buying and
(23:33):
selling, which say about us.
SPEAKER_04 (23:36):
Your inner your inner realtors.
SPEAKER_00 (23:40):
I hear it.
Yeah, Patrick and I have bothnever gone through, but both of
us are renters too, which is aninteresting thing why we've been
having a lot of really greatguests that know a lot about
real estate because they've beenable to kind of educate us on
how that process looks from theground level to people that have
no experience in in propertymanagement or buying property at
all.
SPEAKER_04 (23:58):
So that's actually why I bring I brought that up,
is because so my for our ourfamily home that my wife and my
son and I, we all we live innow.
We this we bought our house umkind of in the middle of COVID
when interest rates were superlow and prices hadn't like gone
crazy yet, but they weredefinitely on their way up.
And we're reliving Connecticut,uh, hour and a half from New
(24:20):
York, hyper competitive market.
A lot of big money was comingfrom New York into Connecticut.
People were offering a hundredgrand over asking on how on
properties.
I mean, insane bidding orders.
You'd go to an open house, just30 cars down the street, like
crazy, right?
So me and my wife and I, we gotour house, not because we had
the highest offer.
We actually didn't have thehighest offer on our house, but
(24:40):
the woman who was selling it, itwas her family home.
Her mom had passed away.
And you know, her mom had beenliving there.
That was the house that thiswoman had grown up in, and she
wanted it to go to like anotherlocal family.
And just so happens that thetiming, we were just we were
that family, right?
And so I think that's theemotional component where the
realtor kind of gave us thatinsight, and we were actually
(25:03):
gonna offer more on the house,but our realtor said, you could
probably get away with a littlebit less because this seller
kind of likes you guys based onyou know these these these
factors.
So that's kind of the thatemotional component.
That's why why I said that,because that that was our
experience.
SPEAKER_01 (25:16):
Wow.
That's yeah, and honestly,that's that's great to hear that
that Zach and I are coming froma place like we were we work in
for a real estate relatedcompany, you know, but we're we
are both renters, but we're bothkind of on our way toward, you
know, potentially investing orbuying our our first property
ever.
So, like what would what wouldyour advice be for somebody like
us, like who's who's not maybelike a a big investor yet and
(25:41):
and doesn't know a ton, but likefrom your perspective, like what
would your your best advice forlike somebody just starting out
be?
SPEAKER_04 (25:48):
You mean as far as like an investment property?
SPEAKER_01 (25:50):
Yeah, like get a first investment property, you
know, with to get a renter, youknow, we're like super, super
mom and pop level sort of thing.
SPEAKER_04 (25:58):
First investment property should be one that you
live in.
SPEAKER_01 (26:01):
Okay.
SPEAKER_04 (26:02):
By far, hands down, that is free money that you will
never, ever, ever in your lifebe able to get again.
Okay, so owner-occupied homeshave the best terms of any deal
ever.
It's like you're never evergonna find lower interest rate
with a lower down payment thanan owner-occupied property,
(26:23):
right?
So if you can get you afour-unit, it has to be a
residential zone property,right?
So get you a four-unit.
You live in one of the rooms inone of the units, don't even
take a whole unit for yourself.
If you're a single man, youdon't need a whole apartment,
you don't even use the kitchen.
You just live in a room, rentout the other rooms.
I know.
(26:44):
I was that was me.
Yeah.
Rent out the other rooms andthen rent the other units, the
other three units, and that'slike wealth secret trick that
every everyone I know who hasdone that has propelled their
journey forward.
Because you think about it, youdon't even not only are you
(27:05):
making enough to cover themortgage, but you're making it
that then and then some, right?
You didn't have to come up witha lot, a lot out of pocket.
So your ROI is gonna be insaneon like your cash on cash
return.
On top of that, if you superhouse hack and live in one of
the rooms in one of the units, Imean, price per room is is
greater than price per unit,right?
(27:25):
So, I mean, depending on yourtolerance for dealing with
tenants, you could rent all therooms in the whole house and go
crazy.
But the leg up that you that theleg up that that gives you,
because you'll have builtequity, you'll have had cash
flow, you'll have had experiencedealing with tenants.
When you go buy your nextproperty, you're gonna be on a
different level than if you hadjust saved up, scrounged up
(27:48):
money and tried to buy one.
Um, it's there's no no betterway.
I didn't do it and I regret itto this day.
SPEAKER_01 (27:54):
Wow, okay.
SPEAKER_04 (27:55):
Wow.
SPEAKER_01 (27:55):
We we've heard we've talked about because that's
called house hacking, right?
Yeah, we've we've talked aboutthat a few times.
That seems to be kind of like arecurring theme, is is everyone
kind of recommends doing that.
SPEAKER_04 (28:06):
So if you are single, there's no reason.
And you if you're single andyou're not doing it, you you're
I don't want to name callanybody, but I want you to name,
I want you to name call him.
SPEAKER_00 (28:21):
He's right there, he's wearing a hat.
SPEAKER_04 (28:24):
Come on, Patrick, come on.
SPEAKER_00 (28:26):
Uh well, along those same lines, like keeping it uh
like uh go bringing it backaround to the AI stuff, like do
just in terms of like evenpeople that aren't trying to
like raise capital, like maybejust like first-time investors
or property buyers, like peoplethat are interested in buying
property.
Do you have any AI specific tipsfor those folks out there that
may not be like trying to likeraise capital or get like signed
(28:49):
deals necessarily all the time?
But is there some basic AI tipsthat these people can use on a
day-to-day?
SPEAKER_04 (28:54):
Yeah, so here's an interesting little thing, and
this works with any, you know,chat, claw, gemini, whatever you
want to do.
Again, buying a property,especially one property, is
usually an emotional thing.
And there are usually emotionalcues in at least the realtor's
description of the property,right?
So you go to Redfin or whatever,and you've got that little box
(29:15):
of text.
You can look at that and givethat to chat, right?
You let's say you found that thefound the property you like,
you're like, okay, cool, thislooks like a good candidate, and
you got that little descriptionin there.
Ask chat to pick up on any cuesfor you that will give you a leg
up when you send your offeremail or your offer letter to
the realtor.
Um, try to respond to them intheir own tone.
(29:37):
And it's a this is what we dowith brokers.
So I don't know if you forpeople who know Crexy and
LoopNet are basically Zillow forcommercial property.
Okay, same craft, same thing.
And they also have a little box,and the broker is over there
describing the property in thatbox, and his personality is
(29:58):
showing in that box, right?
And whenever someone mirrors ouraffect, we tend to respond more
favorably to that person.
unknown (30:06):
Okay.
SPEAKER_01 (30:07):
So have AI mirror their affect for you.
Whoa, that's something I'venever even thought about, and it
makes so much sense, and itsounds so simple.
SPEAKER_00 (30:15):
Thanks for the sound effect effort.
Yeah, I like that.
Yeah.
I like the uh I like the ideathough.
It's like also you'd like todecipher what they're saying in
the in the description, becauselike a lot of those you read,
it's like a rustic somethinghome or whatever.
And it's like, hey chat, tell mewhat they're hiding.
(30:36):
What are they hiding?
It's like it's like by rustic wemean it's a chat.
Barely standing.
Yeah.
All right.
Well, uh this has been reallyfun.
Paulus, do you have a coupleextra minutes that we can play a
little quick game with youbefore we let you go?
SPEAKER_04 (30:50):
Absolutely.
SPEAKER_00 (30:51):
Okay.
So our producers wrote this intoour script here.
So we're gonna we're gonna trythis out.
All right, Patrick, did you pre-did you read this?
SPEAKER_01 (30:59):
I I totally missed this page.
SPEAKER_00 (31:01):
I'm like getting it.
Don't worry about it.
Okay, don't worry about itbecause uh we're gonna make fun
of producer Mousse if thisdoesn't work.
And that's just gonna be the waythat it goes.
So we're gonna play a game, realskill or AI.
Uh simple fun game where me andPatrick are gonna say an
activity and you are gonna tellus whether it's a task that
humans should focus on, a realskill, or if it's something that
(31:23):
you think AI should take offtheir plate.
So real skill, AI skill.
So it's gonna be a little goofy,but uh, I want to see exactly
where you come down on this.
And and if you feel likeelaborating, please do.
Okay, all right, here we go.
The first one rememberinginvestor birthdays.
Real skill, AI skill.
(31:44):
AI skill.
SPEAKER_04 (31:46):
Remember anybody's birthday.
SPEAKER_00 (31:49):
I do it, it it is kind of it's not sad, but I
remember like when I was a kid,I used to have my planner, like,
and I would write down myfriend's birthdays on the
planner every year to make surethat I told them happy birthday
and that I didn't forget.
But now the other day I woke upand Alexa was like, It's your
brother's birthday.
You should make someone saysomething to them, and I was
like, dang.
You've gotten so lazy.
(32:10):
Alexa, order flowers, yeah.
Press this button to send them anice greeting or something like
that.
Yeah.
Okay, that's a good one.
Writing deal, writing dealsummaries, real skill, AI skill.
SPEAKER_03 (32:24):
AI skill.
SPEAKER_00 (32:25):
Okay, pretty simple.
SPEAKER_03 (32:27):
It's a better writer.
SPEAKER_00 (32:28):
Okay, good deal.
Following up after a webinar,real skill, AI skill.
SPEAKER_04 (32:34):
AI skill.
Dang, we're throwing out.
You're gonna forget, like, orsomething will slip through the
cracks.
Like AI skill.
Especially on a webinar, it'snot as personal, right?
It's not like you sneak somepersonal details in there, just
like, hey, thanks for coming.
You know, okay, got it.
SPEAKER_00 (32:50):
Explaining an investment strategy, real skill,
AI skill.
SPEAKER_04 (32:56):
Ooh, good one.
I'm gonna say real skill.
If we're talking about in aone-to-one interaction.
Okay.
Or any any kind of video orvoice interaction, I'm gonna say
real skill.
I'm gonna say real skill.
Because the way you explain thestrategy is often very
(33:18):
personalized, right?
Like back, if let's say you bothwant to invest in my deal, but
you care more about capitalpreservation and Patrick cares
more about tax benefits orsomething like that, but you
both want to invest in the deal.
The way I frame my strategy willbe focused on that.
And that information may onlybecome available during our
(33:38):
discussion.
You know what I mean?
So um, I'm gonna go with realskill for that.
SPEAKER_00 (33:42):
Okay.
Makes sense.
That makes sense to me.
I feel like there's a level ofpersonability that you need to
have if you're like doingsomething one-on-one with
someone that maybe AI just can'treplicate in that moment.
So that makes sense.
Okay, a couple more tracking whoopened an email.
Real skill, AI skill.
SPEAKER_04 (34:01):
I will say AI will give you some false positives
there.
You gotta watch out.
But definitely AI skill.
SPEAKER_00 (34:09):
Okay.
This one I feel like is just aneasy gimme, but giving a first
call to a new investor.
Real skill for now, but watchout.
Watch out.
You think that eventually we'llget to the place where you could
send an AI like focal bot tosomeone to be like giving that
first warning call?
SPEAKER_04 (34:28):
Really?
There's I know a company thatspecializes in doing that, and
they raise millions and millionsof dollars.
Wow.
Holy well.
Interesting.
SPEAKER_00 (34:41):
So real skill now, AI skill very soon, probably.
Very soon.
SPEAKER_04 (34:45):
You know what?
The only um limiting factor willbe there.
It's not the technology, it'speople's willingness to adopt
it, right?
So anytime you're dealing inlarge volumes of large amounts
of money uh or anything infinance, like finance is a very
slow sector to adapt becauseit's requires very high trust.
A lot of people raising capitaldon't want to use the
technology, and fewer than youthink people receiving the calls
(35:09):
also feel, you know, a littleuncomfortable with it.
But a lot of people are actuallyokay with AI interactions as
long as they know it's AI.
Okay.
Yeah, okay.
That makes sense.
SPEAKER_00 (35:17):
Yeah, I feel like people getting like tricked,
quote unquote tricked is like acommon thing of like the people
that are a little bit morefearful of AI in the everyday
life are people that are trickedinto it.
But yeah, being very clear andupfront and having that
disclaimer is probably probablya wise place to be at this at
this juncture.
SPEAKER_04 (35:34):
100%.
Yeah.
100%.
SPEAKER_00 (35:36):
Cool.
Okay.
There's a couple others on here,but I think you killed it.
I think you you nailed all ofthe all, I think you gave
everyone the right answers.
SPEAKER_04 (35:46):
Except that email one, man.
SPEAKER_00 (35:47):
I probably should have gone with the tracking who
opened an email.
Real skill.
Total real skill.
All right.
I think that's about all we'vegot.
This has been a superinteresting conversation, very
enlightening.
Uh Hollis, it's been a pleasureto have you on the show.
Before we let you go, I mean,where can people find you
online?
How can people learn more aboutreal AI?
(36:10):
Give us the rundown.
Raiseai.
Yeah, right.
Raiseai, my bad.
And the producer will edit thatone out.
Raiseai.
SPEAKER_04 (36:19):
Hit me on LinkedIn, William Hollis or R-E-I Hollis
on LinkedIn.
Uh, very, very active there.
Go to our website, tryraise.ai,or our other website,
capitaladvisory.ai, and you canfind me any of those places.
Cool.
Okay.
SPEAKER_00 (36:33):
Awesome, awesome.
Patrick, anything else to saybefore we close this bad boy
out?
SPEAKER_01 (36:37):
No, I think uh this is this is really interesting,
really cool.
Learned a new uh acronym, LP.
Now I'm gonna go flex that.
All right, awesome.
SPEAKER_04 (36:48):
At the next meetup, just be like, yep.
I'm an LP.
SPEAKER_00 (36:52):
I know so much about LPs, all these LPs.
Just say that in your nextmeeting, Patrick.
I dare you.
I'll give you 20 minutes.
SPEAKER_01 (36:58):
I'm gonna try to slip it in organically.
unknown (37:01):
Perfect.
SPEAKER_00 (37:02):
Well, thank you all for listening.
Thank you, Hollis, for comingonto the show.
Remember, follow the show onsocial media on your podcast
service of choice.
Make sure to like and subscribeand leave us a comment.
Tell a friend about the RentishPod.
Email questions at the RentishPod.com if you want to submit a
topic suggestion or a questionor anything that you got.
Uh, we would love to hear fromyou out there.
(37:23):
And until the next time, I'vebeen Zach.
That's been Patrick.
That's been our guest holist,and we'll see you guys next
time.
The Rentish Podcast is recordedin Cincinnati, Ohio, hosted by
Patrick Giro and me, ZachRotello.
Produced by Mousse Gaber Mescaland Charlene Mulchendani, edited
by Elliot Mongenes.
Theme song by me, Zach Rotello.
What's going on, everybody?
Welcome to season two of theRentish Podcast.
I'm Zach, and I'm here with myco-host Patch.
SPEAKER_01 (00:41):
We're two rookies chasing the dream of real estate
investing.
In this podcast, we'll talkabout property management, wild
stories, and everything inbetween.
We don't know it all yet.
SPEAKER_00 (00:50):
That's the point.
We're learning as we go, justlike you.
We'll bring in the experts toeducate and inform us, hint
hint, about what's about tohappen here in the next five
minutes, and we'll figure it outtogether.
So let's laugh, learn, and diveinto real estate side by side.
Patch Yeah.
You know what it is.
We've we've been doing this showfor a while now.
Everyone, this episode'sprobably coming around around
(01:10):
the holidays.
You're nestled up in your homewith your favorite candle and a
blankie and a cup of hot cocoa,and you're down to listen about
property management and realestate, huh?
SPEAKER_01 (01:19):
I'm aware of the situation.
SPEAKER_00 (01:20):
Uh very aware.
Well, everyone out there, thankyou for listening to this
episode.
It's gonna be a really fun one.
We do have a very, very specialguest that we're gonna get to
here in just a second.
But remember, follow the show onyour podcast platform of choice
if you're on Spotify, if you'reon Apple Podcasts, wherever you
get your podcast, you can findthe Rentige Pod there.
Be sure to like us, rate us,review us, leave us a comment,
tell us how much you appreciatethe show, or give us a topic
(01:43):
suggestion for what you want tohear us talk about.
And you can do that by sendingan email to questions at the
rentigepod.com and tell afriend, tell a friend that might
not know about the podcast.
And we'd love for you to sharethe goodness, share the share
the cheer, the the warmth andcheer of our of our lovely show
here.
And we have to talk about thisrandomly.
If we appeared on your Spotifyraft, I don't know if there's
(02:04):
anybody out there, but ifanybody out there had the
Rentish on your Spotify raft,tag us at the Rentich Pod on
socials.
SPEAKER_01 (02:13):
I I I do not listen to podcasts on Spotify, but I
had listened to like an episodeof The Rentich Pod on podcast.
It was my number one podcast,and I hate that so much.
SPEAKER_00 (02:24):
That's great.
You should you should uh postthat on social media.
It gets some buzz going.
You're like probably in like thetop.001% fan joke.
Uh all jokes aside, all jokesaside.
All right.
Enough enough sitting around,enough goofing off.
Ordinarily I'd ask you aboutlike what movies you've seen or
if you're having a good time,but uh right now we have to just
(02:46):
get into it.
We got to talk uh to our veryspecial guest who are here with
William Hollis, the founder andCEO of Raise AI.
If you're new to real estate orjust starting to raise money,
this is a guy that you want tolearn from.
Hollis comes from a rare mix ofworlds.
He taught himself softwareengineering, worked on AI
systems for brands like Disneyand Nike, and jumped into real
(03:08):
estate and realized somethingmost people don't want to admit.
Raising capital is way toomanual, way too messy, and slows
down deals that should bemoving.
So instead of complaining, hebuilt tools to fix it.
And now he helps real estateinvestors communicate with their
investors faster, stayorganized, and all that good
stuff.
William, thank you so much forjoining us and thanks for being
(03:28):
on the Rentish Pod.
SPEAKER_04 (03:30):
Thanks for having me, guys.
I love the uh tag team vibe youguys have going on.
This is yeah, this is probablyone of the only uh shows I've
done that have two hosts.
So it's pretty nice.
Did we botch your intro, by theway?
That was that was you guysnailed it.
I feel like I was taking notes.
I was like, wow, did I do that?
unknown (03:48):
Did I do that?
SPEAKER_00 (03:49):
It's cool.
No, it's it's it's awesome.
Yeah, we're with the tag team ofpodcasts.
I think uh we're gonnaofficially quote that on the
back of the on the when werelease the show on the album
art.
We're gonna say tag team ofpodcast duos, quote William
Holland.
Try to get some fame going.
Well, how's your day going?
Thank you for being here.
You're you're excited to be onthe show.
SPEAKER_04 (04:10):
Absolutely, man.
Uh, appreciate you guys forhaving me.
Um, love to uh talk, shop, andjust have a good time.
Cool.
SPEAKER_00 (04:17):
Well, we'll keep it simple right out the gate.
I mean, we'd just love for you.
I mean, I gave you a little bitof an intro, obviously, there,
but we kind of just want to hearit from you.
Like, what's your story?
Like, what tell us about how yougot into the industry, you know,
why what makes you tick?
SPEAKER_04 (04:31):
Yeah, for sure.
So I'm I'm Hollis from HollisQueens.
My first name is William, but mylast name is Hollis.
Believe it or not, I grew up inHollis, Queens, two blocks from
Hollis Avenue.
Oh no way.
And so everybody just calls meHollis.
SPEAKER_01 (04:42):
Oh, that's cool.
That's a kill.
That's awesome.
SPEAKER_04 (04:46):
You're like me, you die in Hollis.
I I wish one day I'm gonna ownsome uh own some property there,
right?
That's the that's the goal.
But I bring that up becausethat's really where kind of my
real estate journey began.
You know, growing up in the 90s,rented a house with our family,
family of five.
So my brother and my sister, momand dad.
And uh, we had our landlord,he's coming by every first of
(05:07):
the month.
Um, and you know, in the 90s,everyone paid their rent in
cash.
So his name is Mr.
Carter.
Every first of the month, Mr.
Carter's just shoving hundreddollar bills into his wallet.
Like I have the a very clearmemory of being around five
years old and seeing his walletso fat that he couldn't fold it.
It had so much money in it, hecouldn't fold his wallet.
(05:28):
And he would put try to put itin his back pocket, and he had
uh one of those four toruseswith the cloth seats, and he
would sit on his wallet, and thewallet was so big that the seat
would just kind of buckleunderneath the five-year-old me,
you know, we're like scroungingtogether two nickels to keep the
lights on.
And I see Mr.
(05:48):
Carter, and I think to myself,I've got to figure out how to do
what Mr.
Carter is doing.
I don't know how he owns allthese houses, but he's doing
something right.
So um that's what kind of gaveme that early bug for real
estate investing.
I didn't actually take anyaction for many, many, many,
many, many, many, many, manyyears after that.
But that's what uh gave me thebug initially.
SPEAKER_01 (06:10):
Okay.
If if you were if you were fiveyears old in like, let's say
2025 and you just saw like Mr.
Carter's phone screen and justsaw like a big number on his
bank account would have hit thesame.
SPEAKER_00 (06:23):
That's cool though.
So at what point, at what pointdid AI into the mix for you?
Because that's one of the, Ithink that's the probably one of
the biggest things that we're Iwould want to hear about today
from you is that that's thebuzzword, right?
In in the world.
That that's the word.
People want to talk about itchanging the way that we look at
just about every part of ourlives.
But when did that come into thepicture for you?
(06:44):
And how tell us a little bitabout that.
SPEAKER_04 (06:46):
Yeah, sure.
So I started learning to codewhen I was probably 11 or 12.
Um, I was playing Sega Genesis,and then my my mind was blown
that I was pressing the buttonson the controller and Sonic was
moving back and forth on thescreen.
Absolutely.
I was I always from then I hadthis kind of curiosity of how do
(07:06):
I make these games?
Like how does this all of thisstuff work?
You know, in the late probablyprobably 90 1997, we got our
first computer and I took thewhole thing apart, got my butt
beat because it was ourcomputer, family computer.
I did put it back togethersuccessfully though.
I did put it back together, butstarted teaching myself how to
code.
I didn't have a professional jobin software until I was uh like
(07:28):
23, 22, 23, 24, something likethat.
But I had taught myself allthese skills up until that
point, just traveling arounddoing odd jobs before I came
into the professional world.
But the first job I got sittingbehind a desk was an answer to a
Craigslist ad that said makecomputers talk.
Um and it was an ad for acompany called Creative Virtual,
I believe they're still around,but this was an enterprise-level
(07:51):
AI company way before AI wascool.
This is 2012, maybe 2013,something like that.
And I got an entry-levelposition at this company doing
uh a knowledge as aknowledge-based engineer, which
basically meant meant Iprogrammed our internal large
language model through dataentry.
(08:11):
Like as boring as you can think.
Data entry.
But it was at an AI company, andI, you know, slowly but surely
over the years, kind of with myown curiosity and staying in the
CEO's face all the time, um,kind of worked my way up to
being the senior uh softwaredeveloper at that company.
And then um And you said thiswas sorry, this is like 2012,
(08:33):
2013, just so I can.
But I got started, yeah.
But I got started there.
Yeah, that company had they hadbeen around already for maybe 10
years though.
Um so AI is a lot older than metoo.
SPEAKER_01 (08:42):
I was about to say, like, I've I like I would have
thought back then AI is justlike a science fiction movie
thing.
You know, I didn't know theywere real companies.
SPEAKER_00 (08:49):
Like oh yeah, oh yeah, yeah.
Well, it's funny that youmentioned the the video game
aspect of like with that beinglike a starting point for you.
Like I also got into tech as ayoung age because of like
playing Sonic on the SegaGenesis.
I love that stuff.
But like the first time Iremember hearing about AI, other
than like science fictionmovies, was AI characters in the
(09:10):
video game.
Like you have program AI to likebe the enemies.
Like if you're going into a roomin a video game and there's like
a bunch of enemies that aregonna attack you, those things
have an AI programmingassociated with them.
So um, that's cool that you gotthat too.
SPEAKER_04 (09:26):
Yeah, man.
That was uh making video games.
I remember designing my ownversion of uh Mario, Super Mario
Brothers on ActionScript.
So for any nerds listening willknow what Action Script is.
SPEAKER_00 (09:40):
Yeah, plenty of those listening.
SPEAKER_04 (09:42):
Early 2000s, early 2000s tech that we thought was
groundbreaking and doesn't evenexist anymore.
So all right.
SPEAKER_00 (09:49):
So then what made you look at real estate and
think like raising moneyshouldn't be this manual?
Like there's got to be some sortof way to automate this.
Like, was there a specificmoment that really stuck out
where you were like, I can takethis technology, I can work with
AI, and I can bring it into theworld of real estate?
SPEAKER_04 (10:02):
Yeah, absolutely.
It was after I'd been in realestate for a little while, I was
wholesale in real estate.
So for those who don't know,that's basically when you find,
you kind of point out deals forpeople who actually have money
to buy those deals, and theygive you a little cut of the
deal for that, right?
So I was doing that for a while,tried to go and buy my own uh
multifamily building.
(10:22):
I think it was uh two seven,like 34 units if I remember
correctly.
It was like two 17 unitbuildings next to each other,
something like that.
Um, and then I tried to raisethe money.
We had to raise about fourmillion dollars in equity, um,
meaning like cash to uh be ableto get qualify for that loan.
Um failed miserably in order todo in that attempt because
(10:44):
raising money is hard.
Um so I joined a mastermind forspecifically for raising money,
for raising capital for realestate.
It's called uh Raise Masters.
I get in this mastermind and I'mlearning, you know, how do you
raise money, right?
All the ins and outs, and how doyou build an investor list, how
do you find, you know, investorleads, et cetera, et cetera.
(11:05):
And they were fairly technologyforward for the time, right?
But when I spoke to the actualoperators, the guys who were
doing deals, and you know, tryto learn straight from the
horse's mouth, so to speak, itwas kind of like, yeah, I got
this Excel spreadsheet overhere, and I just kind of call
down the list and I try to makea note, or you know, I've got
this Gmail blast that I do and IBCC every contact so that no one
(11:29):
else knows who's on who's on thethread.
Uh or um some guys, actually,some of the larger operators had
a physical paper rolodex.
Wow.
That they were just like, yeah,I've got this name, this, these
names, and you see this one'sgot a little star on it.
That means he's a good guy.
He's a good investor.
The guys who don't have starsare just okay.
(11:50):
And as a reveal comes in, I justflip through this bad boy and
start working the phones, youknow?
And so this is, I'm I was stillworking for the AI company at
the time.
Okay.
(12:22):
I mean, AI had already made alot of leaps and leaps and
bounds.
And coming into this, I waslike, guys, what?
Are you really doing this?
Is this how this actually works?
Aren't you all rich?
Like you haven't easy you don'tknow what technology is
available.
So that was kind of an ahamoment for me when I saw really
behind the scenes, there's whatwas being taught, which was
(12:45):
great, but like behind thescenes what people were actually
doing.
And I said, This, we've got alot to a lot of room for
improvement here based on theavailable technology.
SPEAKER_00 (12:55):
Okay.
Cool.
So raise AI.
Yeah, I wanted to make sure Iwas like, what?
No, the dramatic pause wastotally on purpose there.
Yeah, yeah.
Everyone listening, that was thejoke.
Yeah.
So uh, so I mean, like, what'sit what's your day-to-day look
like now with the with thecompany?
(13:16):
Like, I mean, like what whatlike where can people find your
your product?
Like, you know, just kind ofgive us the rundown about about
what Raise I can offer forcustomers out there.
SPEAKER_04 (13:26):
Yeah, so to do that, I'll give you the background of
how Raise AI came to be.
Um, it was really simple.
I was in Raise Masters and I hadstarted building out some of
these automated systems withsome light AI tools and things
like that.
And uh because I was part ofthis community and people were
helping me out a lot, I did itfor free for them.
I was just like, hey, if youwant to be on like an office
hours call, like we had thislittle like hangout call we used
(13:47):
to do, and if people wanted tosee what I had done or they
wanted to learn how to do it, Iwould literally just share my
screen and walk them through andbe like, yep, download this,
click this there, boom, boom,boom.
The whole idea behind it is howdo you find investors faster,
how do you build their trustfaster, and how do you nurture
them all the way to the pointthat they actually put the money
(14:09):
into your bank account so youcan go spend it faster.
Right.
And that's the problem that uhRadio solves to this day.
But initially it started out asjust doing it for people on
these coaching calls every otherweek.
And then one day I'm working onit for a guy and he's like, Man,
Hollis, it's taking you a whileto do this.
Like it took me like a month orsomething like that.
And he's like, Would you gofaster if I paid you?
(14:32):
I probably would go faster ifyou paid me.
SPEAKER_01 (14:37):
You're like, no.
Actually, I'll go slower.
SPEAKER_00 (14:41):
So if you'd be surprised than that, I'm just
gonna take my time.
That's awesome.
That's awesome.
It sounds like it provides areally great tool for a lot of
people out there.
SPEAKER_04 (14:50):
Yeah, it's it's really it's really good.
I mean, um, we've got a lot ofreally cool case studies of
people who've been able to, youknow, raise money, close deals,
find more investors.
Because the interesting thingabout raising capital for
anything, but in particular forreal estate, when typically
you're not looking for oneinvestor, right?
So oftentimes when you'reraising VC, you've just got to
convince a guy or a board ofguys, right?
(15:12):
When you're raising capital forreal estate, let's say you're
buying a you know$20 millionapartment building, you could
have anywhere from you know 10to 100 investors, LPs in that
deal.
So you've got to be able tomaintain all those relationships
and and you know find thosepeople, first of all.
Right.
So which is which can be uh itcan be daunt, it can be
(15:33):
daunting.
So adding in automation and AIinto that just makes the process
a lot smoother.
Sure.
SPEAKER_01 (15:39):
Real quick question.
So you said I think I heard anacronym there.
And whenever whenever we hear anacronym, we're like, we gotta we
gotta know what this acronym isfor the listen for the
listeners.
Yeah, right.
SPEAKER_00 (15:50):
Yeah, just purely for the listeners, not for any
other purpose, not so that weget educated.
SPEAKER_01 (15:55):
Did I hear LB?
LP L P L P.
Okay.
What is that?
SPEAKER_04 (16:00):
Loss prevention?
No, actually the opposite.
Oh, really?
SPEAKER_00 (16:04):
Oh crap.
I thought I had I thought I hadto do that.
SPEAKER_04 (16:09):
Try again, try again, try again.
SPEAKER_01 (16:10):
Yeah, that's not the what is an LP then?
SPEAKER_04 (16:14):
LP stands for limited uh partner.
Uh basically, whenever you havewhat's called uh a syndication
is uh one of the more technicalterms, but it's basically a
group of people that buy aproperty, right?
You've got the operating teamthat makes the day-to-day
decisions, hires thecontractors, gets the loans, all
that sort of stuff.
That team of people can beanywhere from you know one to
(16:36):
ten people, maybe moresometimes.
It's called the GP, the generalpartnership.
And then the partners that justbring equity, so they just bring
cash to invest in the deal.
Those are called the limitedpartners.
They have no realdecision-making power on the
day-to-day basis, uh, but theyalso get the largest share of
the profits from the deal,right?
(16:58):
So they take more risk becausethey put in their own capital.
Usually the GP, the LPs put inthe actual cash.
The general partnership puts ina little bit of cash, but their
biggest contribution comes fromthe bank, which is gonna be 50
to 60, you know, 75% of thedeal.
SPEAKER_01 (17:12):
This is ringing a bell.
Because we we did have a tax guyon here like maybe two months
ago.
And now I didn't know it was LPwas like the cool way to say it.
So now I now I know.
Um, that's it's so with whatyou're doing with with Ray's AI,
because I I mean I feel like AIis kind of making its way into
(17:34):
every aspect of our lives.
Are you kind of like ahead ofthe curve on this one?
Is this like a like is AI reallybooming in this area?
Do you have like a lot ofcompetition?
Are you like still, are youstill competing with like sort
of the the manual way, so tospeak?
SPEAKER_04 (17:47):
So it depends on where you sit, right?
So from my perspective, I feellike there's a lot of
competition, but that's becausethe algorithm knows what I do
and shows me ads for mycompetitors all the time.
SPEAKER_00 (17:58):
Interesting.
SPEAKER_04 (18:00):
But when you look at actual market share percentage
of our when we did our lastcheck, there were between
100,000 and 150,000 small tomid-size real estate private
equity funds, meaning groups ofpeople that go out and try to
find buildings to buy, we'llcall it for simple terms, not
necessarily buildings, but forsimplicity, try to find
(18:22):
buildings to buy and then raisecapital from the LPs, right?
There's about a hundred thousandto a hundred and fifty thousand
of those.
Last we checked, I think wechecked earlier this year.
So I can have a very, veryhealthy business if two percent
of those people are my clients.
Right.
So is there a lot ofcompetition?
Probably, but I also don't needall 150,000 of those people to
(18:44):
be my clients.
You know what I mean?
Um, as far as being ahead orbehind the curve, I think we're
definitely ahead of the curve inthat not only my own personal
experience in AI, but my team'sexperience in the other side of
this, which is marketing, right?
How do you actually find highnet worth individuals,
accredited investors who arecapable and legally allowed to
(19:07):
invest in private placements?
We have our our team has 15years' experience doing that.
I have about 15 years experiencein AI.
Now, the great equalizer is howfast this technology changes,
right?
So I do AI consulting formid-sized businesses, meaning
I'll fly out, give them atwo-day session, how do we use
AI in your business, and youknow, walk them through really
(19:28):
practical use cases for theirbusiness.
The first slide I show them is Idon't know anything.
Because on the flight here, anew thing came out and I was on
the plane, I didn't hear aboutit.
Sorry, bro.
You know what I mean?
So there's that factor, like thethe technology moves so quickly
that you can't create a giantknowledge gap.
(19:50):
There's no insane secret saucethat you can create, but the way
you package to get packagedtogether and the experience that
we bring to the table isdefinitely unique.
SPEAKER_00 (19:57):
Yeah.
Yeah, and that learningexperience I think is true for
everybody in the or at leastmost people in the world that we
live in now with AI, like peoplein different not even in just
just real estate, in a lot ofother general places are
learning to like work with itand see how it, you know,
balances out with your typicalwork and how it weaves in and in
and out of your life.
And so yeah, it's cool.
(20:18):
That so, what what what issomething that real estate
people are still doing likemanually that you think AI
should just be taken care ofinstead?
SPEAKER_04 (20:25):
Oh, underwriting, right?
So um, that's something that weuse it for internally.
Obviously, we use it for muchlarger properties with much more
complex underwriting.
But let's say you're an investorand you just want to buy single
family or small multifamily, youknow, two to four unit
properties, and you're like,hey, I want to I live in
Connecticut, right?
So we'll take that market andsay, Hey, I want to buy these
(20:47):
kind of properties inConnecticut.
I don't know where to find them.
I'm kind of looking on Zillowand only as that thing.
Pop my inbox and then I gottaput the numbers in the
spreadsheet and like write somestuff down and then try to call
the realtor and figure out AIcan literally do that entire
process.
You can build a very, verysimple AI tool that listens for
Zillow postings and you give ityour criteria.
(21:09):
It's then you say, hey, I wantthese buildings with these kind
of buildings with these kind ofmetrics or these kind of homes
with these kind of metrics.
Here's my buy box, and AI willfind the deals that look like
that as they come up.
It can reach out to the realtorwith your offer all ready to go.
So we we built internal toolslike that, and we're we're able
to underwrite hundreds of dealsa day.
Hundreds of deals a day.
(21:30):
Whereas, you know, that'ssomebody's job before was trying
to underwrite five, two deals aday.
Now AI can do that withreal-time data on top of that,
right?
So we pay for a few differentdata sources from some you know
data brokers.
So that gives us access to alittle bit higher level data,
real time.
But most of the stuff isavailable.
You Google around, you can pieceall the stuff together.
SPEAKER_00 (21:49):
So if you uh Patrick, I don't know if you
remember this, but I think itwas like a month or two ago, we
did an episode where we coveredthere was a news article that
came out about uh Zillowincorporating AI agents into
their software.
And Patrick and I, obviously, wejust kind of joked around about
a lot of it because that's theshow.
But one of the things we didlegitimately talk about is like
envisioning a world without thewithout needing a real estate
(22:11):
agent anyway.
Where it's like if you have anAI agent that can kind of help
walk through the process, youhave companies that are able to
do the you said underwriting isthe term that you used.
Being able to actually composeand create these deals and then
have it be sent to someone.
It's like you could see, couldyou personally, from your
professional experience, see aworld where that kind of goes
the way of the dodo?
SPEAKER_04 (22:30):
Yeah, I mean, it's interesting because it depends
on what kind of real estateyou're talking about.
I think for residential realestate, you will always have a
realtor because residential realestate is a very emotional
experience, right?
You're buying your home for yourfamily or you're selling your
family home.
You're that's a it's a veryemotional thing.
Commercial real estatedefinitely could it could go
(22:52):
that way because that's just anumbers game.
Like, I don't care who you areor what the story is.
Do the numbers work yes or no?
And that's just a spreadsheet,right?
And then the spreadsheet looksgood.
All my little boxes are green,and I send Zach an email that
says, Hey, my boxes are green.
Will you take 10 10 milliondollars?
And Zach's either going to sayyes or no.
SPEAKER_00 (23:12):
Say yes to that amount of money.
If anyone wants to go ahead andoffer that.
You know where I live at radioat the rentice pod.
You know where to find me.
No, that's cool.
Uh yeah, Patrick.
That maybe that goes to saymaybe we need to look inward
because in our entireconversation about that, we
never we never thought about theemotional aspect of buying and
(23:33):
selling, which say about us.
SPEAKER_04 (23:36):
Your inner your inner realtors.
SPEAKER_00 (23:40):
I hear it.
Yeah, Patrick and I have bothnever gone through, but both of
us are renters too, which is aninteresting thing why we've been
having a lot of really greatguests that know a lot about
real estate because they've beenable to kind of educate us on
how that process looks from theground level to people that have
no experience in in propertymanagement or buying property at
all.
SPEAKER_04 (23:58):
So that's actually why I bring I brought that up,
is because so my for our ourfamily home that my wife and my
son and I, we all we live innow.
We this we bought our house umkind of in the middle of COVID
when interest rates were superlow and prices hadn't like gone
crazy yet, but they weredefinitely on their way up.
And we're reliving Connecticut,uh, hour and a half from New
(24:20):
York, hyper competitive market.
A lot of big money was comingfrom New York into Connecticut.
People were offering a hundredgrand over asking on how on
properties.
I mean, insane bidding orders.
You'd go to an open house, just30 cars down the street, like
crazy, right?
So me and my wife and I, we gotour house, not because we had
the highest offer.
We actually didn't have thehighest offer on our house, but
(24:40):
the woman who was selling it, itwas her family home.
Her mom had passed away.
And you know, her mom had beenliving there.
That was the house that thiswoman had grown up in, and she
wanted it to go to like anotherlocal family.
And just so happens that thetiming, we were just we were
that family, right?
And so I think that's theemotional component where the
realtor kind of gave us thatinsight, and we were actually
(25:03):
gonna offer more on the house,but our realtor said, you could
probably get away with a littlebit less because this seller
kind of likes you guys based onyou know these these these
factors.
So that's kind of the thatemotional component.
That's why why I said that,because that that was our
experience.
SPEAKER_01 (25:16):
Wow.
That's yeah, and honestly,that's that's great to hear that
that Zach and I are coming froma place like we were we work in
for a real estate relatedcompany, you know, but we're we
are both renters, but we're bothkind of on our way toward, you
know, potentially investing orbuying our our first property
ever.
So, like what would what wouldyour advice be for somebody like
us, like who's who's not maybelike a a big investor yet and
(25:41):
and doesn't know a ton, but likefrom your perspective, like what
would your your best advice forlike somebody just starting out
be?
SPEAKER_04 (25:48):
You mean as far as like an investment property?
SPEAKER_01 (25:50):
Yeah, like get a first investment property, you
know, with to get a renter, youknow, we're like super, super
mom and pop level sort of thing.
SPEAKER_04 (25:58):
First investment property should be one that you
live in.
SPEAKER_01 (26:01):
Okay.
SPEAKER_04 (26:02):
By far, hands down, that is free money that you will
never, ever, ever in your lifebe able to get again.
Okay, so owner-occupied homeshave the best terms of any deal
ever.
It's like you're never evergonna find lower interest rate
with a lower down payment thanan owner-occupied property,
(26:23):
right?
So if you can get you afour-unit, it has to be a
residential zone property,right?
So get you a four-unit.
You live in one of the rooms inone of the units, don't even
take a whole unit for yourself.
If you're a single man, youdon't need a whole apartment,
you don't even use the kitchen.
You just live in a room, rentout the other rooms.
I know.
(26:44):
I was that was me.
Yeah.
Rent out the other rooms andthen rent the other units, the
other three units, and that'slike wealth secret trick that
every everyone I know who hasdone that has propelled their
journey forward.
Because you think about it, youdon't even not only are you
(27:05):
making enough to cover themortgage, but you're making it
that then and then some, right?
You didn't have to come up witha lot, a lot out of pocket.
So your ROI is gonna be insaneon like your cash on cash
return.
On top of that, if you superhouse hack and live in one of
the rooms in one of the units, Imean, price per room is is
greater than price per unit,right?
(27:25):
So, I mean, depending on yourtolerance for dealing with
tenants, you could rent all therooms in the whole house and go
crazy.
But the leg up that you that theleg up that that gives you,
because you'll have builtequity, you'll have had cash
flow, you'll have had experiencedealing with tenants.
When you go buy your nextproperty, you're gonna be on a
different level than if you hadjust saved up, scrounged up
(27:48):
money and tried to buy one.
Um, it's there's no no betterway.
I didn't do it and I regret itto this day.
SPEAKER_01 (27:54):
Wow, okay.
SPEAKER_04 (27:55):
Wow.
SPEAKER_01 (27:55):
We we've heard we've talked about because that's
called house hacking, right?
Yeah, we've we've talked aboutthat a few times.
That seems to be kind of like arecurring theme, is is everyone
kind of recommends doing that.
SPEAKER_04 (28:06):
So if you are single, there's no reason.
And you if you're single andyou're not doing it, you you're
I don't want to name callanybody, but I want you to name,
I want you to name call him.
SPEAKER_00 (28:21):
He's right there, he's wearing a hat.
SPEAKER_04 (28:24):
Come on, Patrick, come on.
SPEAKER_00 (28:26):
Uh well, along those same lines, like keeping it uh
like uh go bringing it backaround to the AI stuff, like do
just in terms of like evenpeople that aren't trying to
like raise capital, like maybejust like first-time investors
or property buyers, like peoplethat are interested in buying
property.
Do you have any AI specific tipsfor those folks out there that
may not be like trying to likeraise capital or get like signed
(28:49):
deals necessarily all the time?
But is there some basic AI tipsthat these people can use on a
day-to-day?
SPEAKER_04 (28:54):
Yeah, so here's an interesting little thing, and
this works with any, you know,chat, claw, gemini, whatever you
want to do.
Again, buying a property,especially one property, is
usually an emotional thing.
And there are usually emotionalcues in at least the realtor's
description of the property,right?
So you go to Redfin or whatever,and you've got that little box
(29:15):
of text.
You can look at that and givethat to chat, right?
You let's say you found that thefound the property you like,
you're like, okay, cool, thislooks like a good candidate, and
you got that little descriptionin there.
Ask chat to pick up on any cuesfor you that will give you a leg
up when you send your offeremail or your offer letter to
the realtor.
Um, try to respond to them intheir own tone.
(29:37):
And it's a this is what we dowith brokers.
So I don't know if you forpeople who know Crexy and
LoopNet are basically Zillow forcommercial property.
Okay, same craft, same thing.
And they also have a little box,and the broker is over there
describing the property in thatbox, and his personality is
(29:58):
showing in that box, right?
And whenever someone mirrors ouraffect, we tend to respond more
favorably to that person.
unknown (30:06):
Okay.
SPEAKER_01 (30:07):
So have AI mirror their affect for you.
Whoa, that's something I'venever even thought about, and it
makes so much sense, and itsounds so simple.
SPEAKER_00 (30:15):
Thanks for the sound effect effort.
Yeah, I like that.
Yeah.
I like the uh I like the ideathough.
It's like also you'd like todecipher what they're saying in
the in the description, becauselike a lot of those you read,
it's like a rustic somethinghome or whatever.
And it's like, hey chat, tell mewhat they're hiding.
(30:36):
What are they hiding?
It's like it's like by rustic wemean it's a chat.
Barely standing.
Yeah.
All right.
Well, uh this has been reallyfun.
Paulus, do you have a coupleextra minutes that we can play a
little quick game with youbefore we let you go?
SPEAKER_04 (30:50):
Absolutely.
SPEAKER_00 (30:51):
Okay.
So our producers wrote this intoour script here.
So we're gonna we're gonna trythis out.
All right, Patrick, did you pre-did you read this?
SPEAKER_01 (30:59):
I I totally missed this page.
SPEAKER_00 (31:01):
I'm like getting it.
Don't worry about it.
Okay, don't worry about itbecause uh we're gonna make fun
of producer Mousse if thisdoesn't work.
And that's just gonna be the waythat it goes.
So we're gonna play a game, realskill or AI.
Uh simple fun game where me andPatrick are gonna say an
activity and you are gonna tellus whether it's a task that
humans should focus on, a realskill, or if it's something that
(31:23):
you think AI should take offtheir plate.
So real skill, AI skill.
So it's gonna be a little goofy,but uh, I want to see exactly
where you come down on this.
And and if you feel likeelaborating, please do.
Okay, all right, here we go.
The first one rememberinginvestor birthdays.
Real skill, AI skill.
(31:44):
AI skill.
SPEAKER_04 (31:46):
Remember anybody's birthday.
SPEAKER_00 (31:49):
I do it, it it is kind of it's not sad, but I
remember like when I was a kid,I used to have my planner, like,
and I would write down myfriend's birthdays on the
planner every year to make surethat I told them happy birthday
and that I didn't forget.
But now the other day I woke upand Alexa was like, It's your
brother's birthday.
You should make someone saysomething to them, and I was
like, dang.
You've gotten so lazy.
(32:10):
Alexa, order flowers, yeah.
Press this button to send them anice greeting or something like
that.
Yeah.
Okay, that's a good one.
Writing deal, writing dealsummaries, real skill, AI skill.
SPEAKER_03 (32:24):
AI skill.
SPEAKER_00 (32:25):
Okay, pretty simple.
SPEAKER_03 (32:27):
It's a better writer.
SPEAKER_00 (32:28):
Okay, good deal.
Following up after a webinar,real skill, AI skill.
SPEAKER_04 (32:34):
AI skill.
Dang, we're throwing out.
You're gonna forget, like, orsomething will slip through the
cracks.
Like AI skill.
Especially on a webinar, it'snot as personal, right?
It's not like you sneak somepersonal details in there, just
like, hey, thanks for coming.
You know, okay, got it.
SPEAKER_00 (32:50):
Explaining an investment strategy, real skill,
AI skill.
SPEAKER_04 (32:56):
Ooh, good one.
I'm gonna say real skill.
If we're talking about in aone-to-one interaction.
Okay.
Or any any kind of video orvoice interaction, I'm gonna say
real skill.
I'm gonna say real skill.
Because the way you explain thestrategy is often very
(33:18):
personalized, right?
Like back, if let's say you bothwant to invest in my deal, but
you care more about capitalpreservation and Patrick cares
more about tax benefits orsomething like that, but you
both want to invest in the deal.
The way I frame my strategy willbe focused on that.
And that information may onlybecome available during our
(33:38):
discussion.
You know what I mean?
So um, I'm gonna go with realskill for that.
SPEAKER_00 (33:42):
Okay.
Makes sense.
That makes sense to me.
I feel like there's a level ofpersonability that you need to
have if you're like doingsomething one-on-one with
someone that maybe AI just can'treplicate in that moment.
So that makes sense.
Okay, a couple more tracking whoopened an email.
Real skill, AI skill.
SPEAKER_04 (34:01):
I will say AI will give you some false positives
there.
You gotta watch out.
But definitely AI skill.
SPEAKER_00 (34:09):
Okay.
This one I feel like is just aneasy gimme, but giving a first
call to a new investor.
Real skill for now, but watchout.
Watch out.
You think that eventually we'llget to the place where you could
send an AI like focal bot tosomeone to be like giving that
first warning call?
SPEAKER_04 (34:28):
Really?
There's I know a company thatspecializes in doing that, and
they raise millions and millionsof dollars.
Wow.
Holy well.
Interesting.
SPEAKER_00 (34:41):
So real skill now, AI skill very soon, probably.
Very soon.
SPEAKER_04 (34:45):
You know what?
The only um limiting factor willbe there.
It's not the technology, it'speople's willingness to adopt
it, right?
So anytime you're dealing inlarge volumes of large amounts
of money uh or anything infinance, like finance is a very
slow sector to adapt becauseit's requires very high trust.
A lot of people raising capitaldon't want to use the
technology, and fewer than youthink people receiving the calls
(35:09):
also feel, you know, a littleuncomfortable with it.
But a lot of people are actuallyokay with AI interactions as
long as they know it's AI.
Okay.
Yeah, okay.
That makes sense.
SPEAKER_00 (35:17):
Yeah, I feel like people getting like tricked,
quote unquote tricked is like acommon thing of like the people
that are a little bit morefearful of AI in the everyday
life are people that are trickedinto it.
But yeah, being very clear andupfront and having that
disclaimer is probably probablya wise place to be at this at
this juncture.
SPEAKER_04 (35:34):
100%.
Yeah.
100%.
SPEAKER_00 (35:36):
Cool.
Okay.
There's a couple others on here,but I think you killed it.
I think you you nailed all ofthe all, I think you gave
everyone the right answers.
SPEAKER_04 (35:46):
Except that email one, man.
SPEAKER_00 (35:47):
I probably should have gone with the tracking who
opened an email.
Real skill.
Total real skill.
All right.
I think that's about all we'vegot.
This has been a superinteresting conversation, very
enlightening.
Uh Hollis, it's been a pleasureto have you on the show.
Before we let you go, I mean,where can people find you
online?
How can people learn more aboutreal AI?
(36:10):
Give us the rundown.
Raiseai.
Yeah, right.
Raiseai, my bad.
And the producer will edit thatone out.
Raiseai.
SPEAKER_04 (36:19):
Hit me on LinkedIn, William Hollis or R-E-I Hollis
on LinkedIn.
Uh, very, very active there.
Go to our website, tryraise.ai,or our other website,
capitaladvisory.ai, and you canfind me any of those places.
Cool.
Okay.
SPEAKER_00 (36:33):
Awesome, awesome.
Patrick, anything else to saybefore we close this bad boy
out?
SPEAKER_01 (36:37):
No, I think uh this is this is really interesting,
really cool.
Learned a new uh acronym, LP.
Now I'm gonna go flex that.
All right, awesome.
SPEAKER_04 (36:48):
At the next meetup, just be like, yep.
I'm an LP.
SPEAKER_00 (36:52):
I know so much about LPs, all these LPs.
Just say that in your nextmeeting, Patrick.
I dare you.
I'll give you 20 minutes.
SPEAKER_01 (36:58):
I'm gonna try to slip it in organically.
unknown (37:01):
Perfect.
SPEAKER_00 (37:02):
Well, thank you all for listening.
Thank you, Hollis, for comingonto the show.
Remember, follow the show onsocial media on your podcast
service of choice.
Make sure to like and subscribeand leave us a comment.
Tell a friend about the RentishPod.
Email questions at the RentishPod.com if you want to submit a
topic suggestion or a questionor anything that you got.
Uh, we would love to hear fromyou out there.
(37:23):
And until the next time, I'vebeen Zach.
That's been Patrick.
That's been our guest holist,and we'll see you guys next
time.
The Rentish Podcast is recordedin Cincinnati, Ohio, hosted by
Patrick Giro and me, ZachRotello.
Produced by Mousse Gaber Mescaland Charlene Mulchendani, edited
by Elliot Mongenes.
Theme song by me, Zach Rotello.
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