Episode 29: From Apartment Scam to Startup CEO: The RentBamboo Story

Matthew Kanakidis didn’t set out to build a tech empire; he just wanted a place to live. After getting scammed while looking for an apartment at UTSA, he realized the leasing industry was stuck in the Stone Age.

Today, as the CEO of RentBamboo, Matthew is replacing “annoying templates” with AI Agents that close leases in minutes. In this episode, we break down how he went from cold-calling landlords to building a high-speed sales engine that rivals the biggest players in PropTech.

Hosts: 

Leon Hitchens
LinkedIn:  https://www.linkedin.com/in/leonhitchens/
X: https://x.com/Leonhitchens
Website: https://www.leonhitchens.com/

Guest: 

Matthew Kanakidis: CEO of RentBamboo
LinkedIn: https://www.linkedin.com/in/matthew-kanakidis-638352294/
Website: https://www.rentbamboo.com/
RentBamboo LinkedIn: https://www.linkedin.com/company/rentbamboo/

Find Us: 

YouTube: https://www.youtube.com/@TheBoostChannel
Spotify: https://open.spotify.com/show/2AHGT1Aoq9oAHZEHeORBpa
Apple Podcasts: https://podcasts.apple.com/us/podcast/the-marketing-boost/id1720047128
Facebook: https://www.facebook.com/TheBoostChannel

YouTube:

Podcast:

The “Too Long; Didn’t Listen” (TL; DL)

  • The Problem: Why it takes 3 days to get a reply from an apartment (and why that’s killing business).
  • The Pivot: How a “Tinder for Apartments” app failed on the user side but revealed a massive B2B goldmine.
  • The Secret Sauce: A masterclass in Cold Emailing, using 24+ email accounts and 8 domains to reach the world’s biggest property managers.
  • The “Five Ws”: How to turn a “No” into a product feature that everyone wants.
  • The Middle Market: Why RentBamboo is winning the “Goldilocks Zone” of real estate (1,000 – 10,000 units)

Key Moments & Highlights

  • The Scam: The $1,000 mistake that started the company.
  • Cold Outreach: Why Matthew loves “The Highest ROI Channel” in existence.
  • The “Five Ws”: A simple trick to handle rejection like a pro.
  • Obama O’s: What a fake cereal box can teach you about marketing.
  • Speed to Lead: Why the first 5 minutes of a lead’s life are the only ones that matter

Connect with Matthew

  • Website: https://www.rentbamboo.com/
  • LinkedIn: Matthew Kanakidis

The Offer: Want to try RentBamboo for free? Reach out to Matthew on LinkedIn and mention the show!

0:00

Active Capital. I knew of geekdom though. I kind of just looked like VC

0:03

funds and yeah, it’s all good. VC funds in San Antonio. Um, and then was

0:09

pitching Pat for Active and then he was like, you know, you’re way too early.

0:13

Uh, but he was like, I like supporting basically people that are building here.

0:18

Um, so yeah.

0:20

>> Okay.

0:21

>> Yeah, cuz you did like, you know, I’ve been around Geekdom for since they were

0:26

in the Weston building, so about 12 years now. Okay.

0:30

>> 10 or 12 years. So, whenever I see like new people kind of pop on the scene, I’m

0:34

like, “Oh, okay. Let’s see.”

0:36

>> And and you’ve gone the faster route. A lot of people like, you know, they pop

0:40

in and they don’t they don’t do it and then all of a sudden, you know, they

0:42

start to really grow. You were just like fast.

0:45

>> I was impressed with how fast.

0:47

>> Yeah. Just trying like I just try to surround myself with like people who

0:51

have done it,

0:52

>> people who are way better than me, and see basically what I suck at to try to

0:56

improve.

0:56

>> That’s right. Um, yeah. So, and one thing I’ve like been

1:01

surprised I I lived in Houston and so the tech community here is like so much

1:07

better than Houston, which is surprising to me. Like Houston has really nothing

1:11

outside of like if you’re building an oil and gas is probably a great place to

1:15

be.

1:16

>> Um, and I know Graham’s son, I think he’s invested in this company out there

1:20

that turns like fossil fuel into like Bitcoin miners or something like that.

1:24

Grant, they did that for a long time. And now Grant is doing a

1:29

>> like an AI startup. It’s like AI time tracking.

1:32

>> Yeah.

1:32

>> So,

1:33

>> um, my one of my cousin, he Angel, he was like our first Angel and he went to

1:38

school with with, uh, with Grant.

1:41

>> Okay.

1:42

>> Yeah.

1:43

>> I think they were in like the same I don’t know if they’re in the same frat

1:46

or something like that, but um, yeah, I haven’t talked with him yet. I know he’s

1:52

like kind of more of a I know Grant really tapped into real estate, but um I

1:58

think he’s more of like a tech founder than anything.

2:00

>> Yeah, happy to make the introduction to Grant.

2:02

>> Yeah, we love that.

2:03

>> I can do that. We work with his company running ads, so

2:07

>> I talk to him quite often and he’s always, you know, another one kind of

2:12

like looking for smart people. He doesn’t want to be the smartest in the

2:15

room. That’s always the goal. So, um

2:20

>> Okay, I think we’re good. right there. Yeah. So, super casual again. Um, we’ll

2:24

just kind of talk. We’ll have you do an introduction. Um, what is your last name

2:27

again?

2:28

>> Kakitus.

2:29

>> God, I knit.

2:32

>> Kakinus.

2:33

>> K. Kakitus. Yeah. Trips me up too. Or Kakitus is mine. Kakitus.

2:38

>> Kakitus. Kakitus.

2:40

>> What What’s that? Greek.

2:41

>> Greek. Okay. Very cool.

2:43

>> Yeah. Uh, pretty hard to say though. It

2:47

>> does give me uh I just say it’s Greek. I’m like I’m like okay where which which

2:52

which Greek god did you do from? Okay. So um you’re Matthew Kanakinas.

3:01

>> Um and then you’re the CEO

3:05

>> co-founder

3:06

>> co-founder of Red B. Okay. Cool. Close this door a little bit more. And I’m

3:10

going to turn this AC down. Perfect.

3:11

>> It gets warm in here sometimes. Cool. And then also on the on the flip

3:22

side too, I’ll give you all the videos. So some people like, you know, love to

3:26

do clips. Other people take little parts of like, you know, you talking about um

3:30

you know, your company and then clip that and just take that. So

3:33

>> yeah, we’re doing like a website redesign, so that’s going to help.

3:36

Probably put some of that on there

3:37

>> as well.

3:41

>> This is the most awkward part.

3:44

>> Never gets better. Um, okay. Welcome back. Welcome back to the marketing

3:48

boost. Today I have Matthew Kanekinis. I think I said that right. Right.

3:53

>> Yeah.

3:53

>> Okay, cool. You are the founder, co-founder and the CEO of Rank Bamboo.

3:59

>> Yep. So, yeah, Ren Bamboo. I’m the co-founder and CEO. So, we make AI

4:03

agents for property management companies. Really trying to help them

4:06

scale their leasing operations without hiring more staff.

4:09

>> Okay. So, AI agents, super fun. A I think a little buzzy of a term. Can you

4:15

break it down like what what is it kind of doing?

4:18

>> Yeah, so we are essentially a CRM that pairs with their main property database

4:24

and from there we really ingest all the leads reaching out from Zillow,

4:27

Apartments.com trying to reach out for an apartment, organize all of that

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inside of a nice clean CRM and then we layer in AI agents around leasing,

4:37

marketing, you know, lead generation to help them grow more efficiently.

4:40

>> Okay. And then that that seems like an a market that traditionally isn’t super

4:45

tech forward. Um you know whenever I would rent an apartment like everything

4:48

was a little archaic. Go get a money order something like that. Like how how

4:53

did you find that this was a market? And then also how did you get into it?

4:56

>> Yeah. So we actually started off with a app. So we were making a apartment

5:01

marketplace for college students. And so we were doing that for roughly about a

5:06

year. Uh I was scammed for an apartment near UTSA and I really wanted a more

5:10

transparent leasing process and so uh Axel and I my co-founder we created this

5:15

app was similar to Tinder like that swipe style for apartments only for

5:19

college students. There was like a little AI widget Facebook team.

5:22

>> Exactly. Yeah. It was little AI widget where they could ask questions about the

5:26

property management company about the apartment the reviews and everything

5:30

like that. And so we did great on the supply side. Bunch of apartments wanted

5:34

to on board with us. We had about 97% of UTSA student housing onboarded. The

5:40

issue

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>> that that is that’s an impressive like early founder style.

5:44

>> I appreciate that. But the issue with marketplaces is that it’s two sides. And

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so um we couldn’t generate any demand on the renter side. College students I feel

5:53

like they know where they want to live from their friends from drive around

5:57

campus.

5:57

>> Parents dictating where they’re going to spend their money

6:00

>> 100%. And they don’t need a Zillow Apartments.com. to kind of just know uh

6:05

from the resources at the school and just driving around where they want to

6:08

live. And so we quickly just kept talking to management companies saying,

6:13

you know, what is the issue you’re dealing with? Because they wanted they

6:17

wanted to be on this app. And uh really what we found was it wasn’t the exposure

6:21

side. It was more so dealing with all the exposure these apartments were

6:25

getting, qualifying all the leads, putting them in a clean standard

6:30

process, and really automating it from there. And so that’s really how we found

6:33

that, you know, this was something that we do need to work on. We feel like

6:36

there’s a massive issue in the industry in turnover, lead response time. And so,

6:42

yeah, we just dove in head first and made that pivot to build that leasing

6:45

software. I that is an impressive story. I also like that from a problem that you

6:51

had, you found a solution. I think often times the best founders solve their own

6:56

problems. That’s that’s always a cool part. But the part that I want to dig on

7:00

is you said that you were talking to all these leasing companies. Like how did

7:03

you get to them? Did you use marketing? Did you show hope and knock on their

7:06

door? Like what was kind of that progression out there?

7:09

>> Yeah. So it was a lot of cold calling. So we would just call apartments, you

7:13

know, they’re most of the time they’re always going to answer. They want to

7:15

lease up their property. Um and so we would just call them, ask if they’d want

7:19

more exposure to be on the app. Of course, we’d onboard them that way. And

7:22

then we always have that kind of connection from them wanting to see

7:26

visibility, the analytics from our app, but of course it wasn’t the best

7:30

analytics cuz we didn’t have the demand side done. Um, and so that’s really kind

7:34

of what led us uh down that path.

7:37

>> Okay. Uh, you have a co-founder. Are one of you guys technical, one of

7:42

you not technical? Like what what’s kind of dynamic at the moment?

7:44

>> Yeah, so I’m not technical. My co-founder is I really help a lot on the

7:48

product as well. So, a lot of our mockups, a lot of our early prototypes

7:52

are all done by me. And then kind of Axel will put his spin on it. Um, polish

7:56

it up and make it usable in a way. And so, uh, but yeah, I kind of handle all

8:01

sales, marketing, um, and everything like that.

8:04

>> Okay. I I like the duo. I always think having one technical person like dive in

8:08

gives somebody else a really good time to kind of like market. So, there

8:13

there’s somebody to hold each other accountable like, hey, why is product

8:15

not working? Hey, why is marketing not working?

8:17

>> Exactly. So you’re handling all the sales, all

8:21

the marketing. What does that look like? This is a I call it a B2B play. Is it

8:28

more cold calling? Like what’s the marketing stuff that you are looking at

8:32

doing?

8:32

>> Yeah. So we did cold calling for a while and it does work, but what we found was

8:37

that it wasn’t the most efficient because you’re always connected with the

8:39

leasing office, the leasing agents. Exactly. And you need to be connected to

8:43

the decision maker. And so for us, we found the best way to do that is cold

8:47

email. 100% of our pipeline is cold outreach um through LinkedIn email. Of

8:52

course, we do get some inbound as well, but everything is through cold outreach

8:56

targeting, you know, upper level execs and property management companies. And

8:59

so that’s really where we generate a lot of our pipeline. I absolutely love cold

9:04

outreach. I think that’s uh the highest ROI channel that you could have. And so

9:08

for us being early stage, it was just super easy for us to polish our

9:12

messaging uh you know get deep penetration in the market as well cuz

9:16

you’re emailing a ton of people and also you just get great feedback even when

9:19

it’s a no. You can ask them you know what are we missing? What’s missing from

9:23

our product? What’s better about you know the process you have and so it led

9:26

to a lot of conversations for product discovery.

9:29

>> It’s very cool there there’s a tech stack I imagine. I I can’t imagine that

9:34

you’re sitting there doing it. Maybe it’s an AI agent made a platform. What

9:37

is what is that kind of?

9:38

>> Yeah. So, we do have a uh kind of a cold email system. So, we do a lot of lead

9:43

generation through other channels. Like there’s a lot of real estate databases

9:46

that help us out. But of course, we do just do keyword searches on LinkedIn. Um

9:51

that helps a lot. And also just Apollo, I think just a lead database um is very

9:56

helpful. And then we put all that through a cold email system or excuse

9:59

me, an enrichment system through aircale. It enriches all of it. We

10:03

search for intent uh intent signals around hiring expansion uh maybe

10:09

keywords that they’re saying on their LinkedIn as well. And so from there we

10:13

gauge the intent, put them in different buckets and send out those cold emails

10:16

from there.

10:17

>> Okay. And then those cold emails uh going through Apollo or like a list.

10:21

>> Yeah. So we use uh plus five. We were using instantly. Plus 5 is just kind of

10:25

like a cheaper alternative.

10:26

>> I’ve heard of that one. I’m going to have to take a look at it.

10:28

>> Definitely. It’s it’s really good for lead generation. We like their um

10:31

enrichment uh features that they have more than instantly.

10:34

>> Okay. More affordable. I always like that. I imagine maybe a little bit of

10:38

startup. There’s

10:39

>> Yeah.

10:39

>> There. But gold email. Uh are you did you buy like a bunch of domains to set

10:43

that up or like

10:44

>> Yeah. So we have over I want to say eight domains around 24 emails. And so

10:49

we do rotate those pretty frequently. Um and so we’re always warming them up.

10:53

Always have subdomains. Um so we use like Zapmail for our infrastructure. Um,

10:58

and so that’s really how we kind of scale that side.

11:01

>> Okay. I’m super impressed with that because it took me maybe 3, four years

11:05

to figure out and get to like a really good state like that. A lot of my

11:08

outreach is cold, too. Um, how did you get to that? How did you learn it? Where

11:13

where did that knowledge come from? You know, you’re pretty early out of college

11:17

and, you know, way way smarter than I am, but that that’s an impressive like

11:21

scale and and process build out that you’ve done.

11:24

>> Yeah. So, at first what we would do was just find 50 to 100 accounts that we

11:29

think would do good on our platform. Then it was manual uh cold emails from

11:33

me to the probably the top three to five decision makers at that company. That

11:37

really helped us dial in like our messaging. And then from there, when we

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really wanted to scale up our sending volume, we invested in Instantly. um and

11:46

they have a really good um cold email accelerator that helped us like kind of

11:50

learn the ropes around you know enrichment um you know lead databases

11:55

and things like that. But I also look a lot at agencies. I think uh for founders

11:59

I think agencies have some of the best sales motions and I think I always look

12:03

at other businesses and see what I could take to make us more successful. And so

12:07

looking at agencies tech staffs helped us a lot. Instantly has a lot. Smartweed

12:12

has a lot as well. So just looking at kind of what those companies are doing

12:15

to succeed at scale um really helped us kind of mold our system.

12:19

>> It’s a really interesting take on that agencies have a really good sales

12:22

motion. Like I I run an agency and I don’t think anybody’s ever complimented

12:28

an agency like for anything. So thinking about it like that like you you took it

12:34

you took essentially another system in it into your business. like is there any

12:39

other things that you’re looking out there because you are forging a new kind

12:44

of category for the rental market like how how are you finding other companies

12:49

now?

12:51

>> Yeah, so it’s a lot of AB testing. Everything we do now is just AB testing

12:55

around our messaging, our core value prop. And I think that’s important for

12:58

us at scale too cuz you do kind of see what will convert when you start pouring

13:02

money in paid ads and everything like that. Um and so for us it’s a lot of AB

13:06

testing like the smallest words spin tax as well um different subject lines we’re

13:12

testing and so um it’s a lot of test also around like intent signals seeing

13:17

what it what um converts higher and stuff like that. So now it’s really like

13:21

we have our foundation now it’s kind of how can we apply it more to what we’re

13:25

seeing in our actual business. Um so a lot of what we look at is how users are

13:30

you know saying no to our cold emails. So is it around our messaging? Is it us

13:34

saying something wrong? Is it they already have a tool in place? And so

13:38

that’s kind of how we kind of tweak a lot of that messaging um as we’re moving

13:41

through our motion.

13:43

>> I I love that the marketing is feeding the actual product, too. I think you you

13:48

essentially have a really big feedback loop from the nos and the yeses. I I How

13:53

are you filtering that? Because I hear a lot of people like, “Hey, if they don’t

13:56

want my product, I don’t care about them.”

14:00

>> Yeah. I always see and I’ve worked a lot in sales, too. So rejection is just part

14:04

of it. Um and so I look a lot at like you know even when you get a no can you

14:08

learn from it but the hold it’s the same as in a demo if they tell you no why is

14:12

it a no. Um our adviserss always tell us the five W’s. You need to dig deeper

14:16

into as to why it’s a no and you know fix that. And so

14:20

>> I haven’t heard the five W’s before. I’ve heard it but like what what is

14:23

>> so just constantly digging deeper. Why is it a no? Once they give you that

14:26

issue well then why is that an issue? and then just keep on dialing in deeper

14:30

and deeper till you get to really the core problem and then you can kind of

14:34

fix that through releasing a new feature or maybe selling them on a different way

14:39

on how to use your product. Um,

14:41

>> so, so often times like the classic, oh well, this is my boss. Okay. Like, why

14:45

why does it have to go to your boss? Like, is there an amount or stuff like

14:47

that?

14:48

>> Exactly. Is it a budgeting issue? Is it kind of us having, you know, too too

14:52

many enterprise features in place, maybe they have to sign a contract or

14:56

something like that. And so, that’s also what we look at. Property managers have

14:59

a has a have a on-site budget as well. And so, we always look at, you know, can

15:04

we price into that budget so they don’t even have to go to upper level

15:07

management to get a yes or no. Um, and so yeah, always digging deeper. And then

15:11

sometimes, you know, that no might be the smallest issue. Maybe one minor

15:16

feature that you missed on the demo that you already have that you didn’t

15:19

highlight or that’s super quick to build that you could still easily sell them.

15:23

And so for us, I never kind of leave it at just a no. I always find out why. Is

15:27

it they’re they have a better product in place or is it something, you know,

15:31

we’re missing?

15:32

>> It’s It sounds like a lot of fear fearlessness. Like

15:35

>> Oh, yeah.

15:35

>> Like there’s no shame. Like I think the best sales folks are they’ve got a lack

15:40

of shame to some capacity. They’re like they’ll miss the cues of like get out,

15:44

but they’re also the nicest and friendliest people. So that that’s an

15:47

interesting take um on the on the wise and how it feeds that. Are you doing any

15:53

other marketing out there? Is there SEO, PPC, like

15:56

>> a little bit of SEO? We do have like a blog and things like that. And now we’re

16:00

kind of working more in referrals. I look a lot at like Airbnb’s referral

16:04

strategy early on and how they were able to grow. And so how can we take like

16:08

some of those consumer strategies and apply it to B2B in a very like

16:11

enterpriseheavy footpr?

16:17

>> Um no I don’t.

16:18

>> So Airbnb store really cool is um they were trying to raise their seed round

16:24

and it was like 2008 2009 time and they just couldn’t raise any money so they

16:28

made this like fake cereal box. They were called Obama O’s and then the

16:33

McCain

16:34

>> John for John McCain. Yeah. And they raised like $30,000

16:39

that way. Like I like in a viral moment. That’s how they got to the next step.

16:44

And kind of a cool story.

16:46

>> Yeah. And now Airbnb is one of the most successful travel companies. And back

16:49

then, you know, they were struggling to find the smallest.

16:52

>> Everyone was telling them no.

16:54

>> Exactly. Yeah. And so, yeah, always looking at strategies like that.

16:57

Referrals is going to be a big part of our strategy. Also, just, you know, real

17:01

real estate’s a relationship driven business. And so we want to get out at

17:04

conferences. Um that’s going to be the next point for us, but they are pretty

17:08

pricey and we definitely want to have a strategy in place before you know we

17:11

make those investments.

17:12

>> Okay, that’s good that you’re thinking through that. And yes, like the the hard

17:16

part of marketing is everything’s quite pricey. I love the unscalable part of

17:21

like cold email. You’ve scaled it a little bit. You’ve you’ve figured out,

17:25

you know, the cold calling is there. the the blog and stuff like I’m kind of

17:30

curious like how are you writing stuff based on conversations like where is

17:34

that content?

17:35

>> Yeah. So it’s through LinkedIn through our website it’s mostly around the

17:40

conversations I have with property managers and their pain points. So a lot

17:43

of it is, you know, how can you generate more leads for cheaper and then kind of

17:48

we look a lot of instantly. So relating kind of that problem, showing them how

17:52

to solve that problem, but then slowly funneling them to our product and they

17:56

could solve this problem on our products essentially. Okay.

18:00

>> Exactly. And so that’s what we look at as far as our blogs go. And of course,

18:03

we do want to get into content and that’s going to be another uh massive

18:06

part of that as well. Um but yeah.

18:09

>> Okay. Uh back to your experience, you know, you you got burned on an

18:16

apartment. Like this is a whole new industry for you. Like how are like how

18:20

did you learn all this? Like is it was it a lot of trial and error? It sounds

18:23

like that.

18:23

>> Yeah, it definitely was a lot of trial and error. I did wholesale real estate

18:26

before. So my freshman year of college, um I was calling uh pre-forclosed

18:31

homeowners, trying to get them out of their mortgage, uh essentially selling

18:35

their home to a real estate investor. And so did a few deals. And so that

18:39

really kind of opened the floodgates to real estate. And so I got interested in

18:43

property management and in leasing through that. I definitely didn’t have

18:47

like any experience, wasn’t building products in that space or anything like

18:50

that. Um, but definitely kind of learned the ropes. Um, and then I’m also just

18:55

constantly trying to learn from people. I always tell our users like I’m of

18:58

course I like to be the expert on the tech side, but I’m not the property

19:01

management expert. Tell us exactly how it is so we could fix it. Um, and so I’m

19:06

constantly just trying to learn from our users and just trying to be a sponge

19:09

essentially.

19:10

>> I out of all the conversations I had, I think that is like a through line is be

19:16

as a sponge as possible. Um, you you know, exceptionally impressive like so

19:22

far. Um, the conferences, what do those look like for you? Like

19:27

are are you thinking booths or are you thinking maybe like a gorilla? you know,

19:31

like I I’ve seen some people go and be like, “Hey, you want socks?” And you

19:35

walk around. What What is your your thoughts on those?

19:38

>> So, as much as we do want to be kind of or do want to have that gorilla style

19:41

marketing, sometimes that doesn’t go the best of these conferences. They’ll end

19:44

up like kicking you out or something like that. And so, ideally, it would be

19:47

a booth. Um, and so that’s going to be a large part of our strategy because I

19:52

think just getting in front of decision makers is a massive part of what people

19:56

need to be doing in real estate. And you know, we’re early stage right now, so we

19:59

haven’t had the most opportunity to be able to do that. But that’s a massive

20:02

focus like getting myself getting my co-founder in front of these property

20:06

management companies to spread what we’re working on, our mission. Um, and

20:10

so yeah, a booth is definitely going to be um where we want to be at at some of

20:14

the smaller conferences. And then of course at those bigger ones, we’re

20:16

definitely probably just going to piggy back on another bigger vendor um and see

20:20

what we can do. And then on those referral parts, and I’m jumping around a

20:23

little bit, the referrals, is that more like a partnership program or are you

20:26

thinking it’s more like an actual referral, like one one leasing agent

20:30

refers another one, or is it more like, hey, um, big big real estate, you know,

20:34

conglomerate has 200 locations and you want to like, you know, partnership to

20:40

them where they they make the money.

20:42

>> So, more so from property management company to property management company.

20:45

And so getting that referral, incentivizing them on their subscription

20:49

or uh other ways to incentivize them as well as far as like expanding through

20:54

their portfolio, that’s a little bit of what we do right now is like a land and

20:56

expand strategy. So being in real estate, it’s a trust driven business.

21:01

You’re probably never going to sell the person on their entire portfolio on day

21:05

one. And so it’s always getting one property, two properties, testing it out

21:09

for two weeks, letting the results speak for themselves, and then trying to

21:12

expand to the rest of their portfolio. Um, and so for expanding through the

21:16

portfolio, it’s land and expand just proving through results and then of

21:20

course expanded to other property management companies is that referral

21:23

strategy.

21:24

>> Those results, what do they like look like for somebody? Is it like ROI or is

21:28

it time? Like how do you

21:29

>> Yeah, definitely ROI, NOI as well. Uh, closed leases is kind of what we want to

21:34

show. Uh, I think tours is big. Uh, it’s a big metric, but I think nothing speaks

21:39

bigger than actual converted deals and that’s always kind of what we’re looking

21:42

to do. I think obviously we’re looking to convert tours, but at the end of the

21:46

day, if those tours aren’t converting, we’re not doing our the best job at

21:49

qualifying those leads anyway. Um, and so we always look for actual lease

21:53

conversions, uh, lead to lease times, lead response times, and kind of

21:58

showing, you know, the benefits that they’re seeing with our platform.

22:00

>> Okay. And then it’s so it’s AI agents essentially like if I was on the if I

22:06

went on an apartment and they were using Rank Bamboo, what what would that

22:10

experience on my side be like?

22:12

>> Yeah. So instead of receiving one of those annoying templates saying wait for

22:15

a leasing agent to get back to you, it’s all dynamic. So whatever you’re saying,

22:19

if you’re coming in from Zillow asking about the pet policy, the application

22:22

process, scheduling the tour, we’re going to be able to fulfill all that

22:26

information to you. Of course, within 5 minutes, schedule your tour, send that

22:30

application, or of course, if the management company needs to qualify you

22:34

a little bit more, of course, we’re going to answer your email, qualify you,

22:37

schedule you a tour, um, and stuff like that. And so essentially for the renter,

22:42

we’re giving them their answers upfront. We’re not letting them wait for people.

22:45

They could, of course, find out all of the information that they need so they

22:48

can make their decision, either schedule a tour, lease that property, or, you

22:52

know, move on to the next.

22:53

>> Okay. I really like that because often times when you go to an apartment, Yeah.

22:57

you you get hit with a someone reach out 3 days later, you’re like, I’m I’m like

23:03

fully down a path with somebody else. Like it it really is speed to to leave.

23:08

>> Yeah. It’s so frustrating because now it’s gone so bad where Zillow will send

23:12

the renter an email to follow up when in reality that’s the property management

23:16

company’s job is to follow up with the renter. Why should the renter have to go

23:20

out their way to follow up with you to live at your place? You should be

23:24

earning their business and reaching out to them. And so, um, I just think the

23:28

industry is broken in a lot of ways, but, you know, we’re looking to solve

23:31

that.

23:31

>> I I like that. Um, co-founder, you how did you guys meet? Was that a college?

23:37

Was it something else?

23:39

>> Uh yeah, so Axel uh he’s only a year younger than me and so I definitely got

23:43

lucky there. Um so we met on uh the Y Combinator co-founder platform. Got

23:48

super lucky that he was local as well. Um and so he reached out to me. I kind

23:53

of put on there non-technical founder really mad that I got scammed for an

23:57

apartment looking for a better way to kind of build this out. And then he

24:01

reached out to me essentially saying like you know if you’re not wanting to

24:04

build you know unicorn we should have worked together. And I was like, well,

24:07

you know, I’m pretty ambitious myself, so let’s, you know, let’s take a jab at

24:11

it. So, uh, living together ever since.

24:14

>> The egos are always like they’re good and bad in there, but I love when people

24:18

are like, “Yes, this is what I want to build.” And, you know, if you hit a $100

24:22

million and you don’t quite get that, you’re still like happy in the end.

24:25

>> Exactly. And with Axel, you know, through our marketplace when we were

24:30

seeing very little traction, you know, we were still sticking together as a

24:33

team, shipping every day, figuring out what’s working, what’s not working. And

24:37

so, you know, we’ve been through the lows and uh yeah, couldn’t ask for

24:40

anybody better on my team.

24:41

>> So, are both of you guys full-time? Do you work like what’s

24:44

>> we’re both full-time on the product? Uh we work like day and night on it, trying

24:48

to make sure, you know, all of our users have everything they need. And so, uh

24:52

yeah, completely full-time. that we just brought on a uh founding engineer from

24:56

UCSA, our first hire.

24:57

>> Okay, very cool. Um I I assume you guys have like what guess you define as like

25:03

product market fit PM enough a little bit or where

25:06

>> Yeah, I I like I never like to say product market fit when we’re not

25:10

scaling. Uh but I will say I think given that we have a very vertical play, um I

25:15

think we kind of know exactly who we want to target and companies, you know,

25:19

leasing CRM exist. We’re just kind of a new version of it. And so this market is

25:24

already there. Real estate is a massive opportunity. And so um yeah, we believe

25:29

there’s a lot of opportunity there.

25:30

>> Okay. Those competitors, are they doing any of the similar features or anything?

25:34

Like how stiff is the competition?

25:36

>> Yeah. So uh the biggest competitor in the space is Elise Aai. They just raised

25:39

over 250 million. And so they’ve believe they’ve been around for about 8 to 10

25:45

years. And so they’re focused on the enterprise scene. And so Grey Stars, RPM

25:50

Living, those guys with over 20, 30,000 units, that’s where Lease AI lives. They

25:55

have a very, very similar product suite at the enterprise level. But for us,

25:59

we’re focused on giving middle market and smaller operators the tools to

26:02

scale. We feel like there’s nothing for them between those smaller landlord

26:06

tools like Show Mojo and smaller property management tools and then, you

26:10

know, at least AI, funnel, your more enterprise leasing solutions. We feel

26:13

like there’s nothing for middle market property management outside their CRM.

26:17

And you know that’s going to be ri bamboo.

26:19

>> Okay. So you’re looking at maybe like you know somebody with 20 to a couple

26:22

hundred doors.

26:23

>> So we’re looking for the middle market and property management is roughly

26:26

between a thousand to 10,000 units.

26:29

>> Okay. So somebody that’s probably a real estate investment group some capacity

26:34

that’s that’s growing

26:35

>> about 30 to 100 employees.

26:36

>> Okay.

26:37

>> Okay. And you you’ve got the big competitor on the on the enterprise

26:42

side. You’re competing in that middle market which I think is interesting. Do

26:46

you have competitors there?

26:47

>> So, we don’t have really a direct competitor making a sole leasing CRM. We

26:53

of course always compete roughly with the PM system. So, that’s going to be

26:57

their big data set. Sometimes they’ll have a leasing CRM in place, but you

27:01

know, we believe, you know, our aentic solutions that is layered behind our CRM

27:05

is really what sets us apart. Um, and so it’s always some competition there on

27:10

the PM side, but other than that, it’s, you know, a really wide open market.

27:14

>> Okay. I have like a couple more questions. Like one of them is AI. It’s

27:19

it’s super expensive. Like is is that affecting profit margins or how are you

27:24

guys dealing with that?

27:25

>> Yeah. So our AI costs aren’t the highest. Um and so for us it hasn’t been

27:30

a big issue. We’ve always been told to be cautious around like credit inflation

27:34

um and things like that. But AI cost hasn’t really been a massive issue for

27:38

us. I mean we spend a very minimal amount on testing and our a and our

27:43

users right now. Um, excuse me. The biggest cost for us is Twilio and SMS.

27:48

Um, and so the actual and I guess you can kind of work that in the actual AI

27:52

cost as well, but the actual sending of the text of the phone call is kind of

27:57

what makes the platform a little bit expensive.

28:00

>> That’s good. I I’ve been hearing a lot of the token inflation. People it it

28:04

used to be like the conversation of cloud was eating everybody’s lunch and

28:08

then it kind of got cost optimization. same thing’s happening around AI

28:13

>> and I do think like a a lot of the bigger models are so subsidized and

28:17

invested in by the government. I think it is definitely driving prices down. I

28:21

don’t think it’s going to stay like that long term. I hope

28:23

>> I definitely for us, you know, we’re hopeful that it will free.

28:27

>> Exactly. And you know, the more competition that comes about with these

28:30

models, the cheaper they’re going to have to make their prices as well. Um

28:33

but I don’t see a world where the 2x 3x pricing. Um and so I think we’re we’re

28:39

just fine there.

28:40

>> Okay. And then last to the AI parts is are you using it a bunch in the like the

28:46

content the you know the marketing game the sales game like I can’t imagine

28:50

you’re buying gong but like do you use like a fathom to take those transcripts

28:54

like that

28:54

>> like so we do use like a fath we do use fathom to kind of go through our calls

28:59

uh we do use like AI personalization for cold emails sometimes it’s a very fine

29:04

line on when you can use it cuz sometimes it’ll refer something

29:07

completely random on their LinkedIn

29:09

>> hallucination Exactly. And it has nothing to do with our product and it

29:12

just makes that cold email terrible. Um and so we’re leveraging a lot on our

29:17

sales process of course just coding as well. Uh our team that’s you know we

29:22

heavily leverage um AI coding systems as well. So

29:26

>> no uh no open claw none of that like no no agents running everything.

29:31

>> I we definitely don’t trust that. I think um

29:33

>> that’s an interesting considering what your product is.

29:36

>> Yeah. So I well open claw I think the issue with open claw is people give it

29:40

free reign and I think when you give AI free reign it hallucinates and it does

29:43

things you don’t want it to do. Um and so for us we haven’t deployed openclaw

29:49

at all. Um and we were looking at kind of a way to integrate into our product

29:54

but again we just want to make sure the security is perfect and that

29:57

>> that’s the biggest part like um collage just launched dispatch um for complexity

30:03

is called computer. They’re all kind of going to the the agent model and I think

30:07

you know as you talk about agencies agencies in the next I’d say even two to

30:11

three years are going to be substantially different. It’s going to

30:14

be more agent excuse me more agent driven than human driven.

30:19

>> Yeah. There’s a uh agency right now on Twitter where they’ve reached like $4

30:22

million run rate in like 2 weeks and it’s an AI founder making like all these

30:28

agency plays for a bunch of business owners. So, I do think it’s definitely

30:32

going to look a lot different. But I think AI is only as good as the data you

30:36

give it. And I think that’s the bigger issue here and especially in our

30:39

business is people have a false sense of hope when it comes to how AI is going to

30:44

perform versus the data they have available. Um, and so for us it’s how

30:48

can we make that data and kind of feed it more efficiently to the AI to kind of

30:53

have it actually automate these workflows, know more about their

30:55

business. And so I think at scale I think the biggest opportunity is

30:59

probably who’s going to make data the most accessible.

31:02

>> Okay. Um how can people find you on the internet?

31:06

Like is there a LinkedIn? Is there a website?

31:09

>> Uh www.rimpbamboo.com. Uh they can also reach out to me on

31:13

LinkedIn. Matthew Konikitus. I always love talking anything regarding sales,

31:18

startups, real estate, whatever it is. Uh just feel free to reach out.

31:22

>> Okay. Very cool. Um any are you raising anything at ask outside of that?

31:27

>> Um we are not raising right now. We’re pretty locked in on kind of just

31:30

building out uh the product getting our early users successful. But if anybody

31:35

did want to give Rim Bamboo a try, feel free to reach out and we more than happy

31:38

to get you started for free.

31:40

>> Cool. We’ll put all those in the show notes and really thank you so much for

31:42

joining us.

31:43

>> Yeah, I appreciate it as well.

31:44

>> Cool.

31:47

>> Okay, man. That was a really fun conversation.

31:49

>> Yeah. Um, you

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