June 24, 2025 • 31 mins
Meet Eric McHugh
Eric McHugh is a digital entrepreneur and Web3 innovator, serving as President/Chief Growth Officer of Dataing.io, an Al-powered matching platform. With a background in ad optimization at SnapInc. and consulting Fortune 500 companies through chapter 11 bankruptcies.
Dataing.io is an Al-powered matchmaking platform co-founded by Eric McHugh. Unlike traditional dating apps that rely on user-created profiles and swiping, Dataing.io creates a digital profile for users based on their digital footprint, aiming to match them with individuals who have similar digital behaviors and interests. The platform's goal is to facilitate meaningful connections by leveraging Al to analyze users' online activities and preferences, thereby increasing the likelihood of compatible matches.
Dataing creates profiles and matches based on your digital footprint , then "Cupid," their Al assistant, helps with advice and dates ideas
Join me to hear all about this and where it's heading! It is a not to be missed episode.
For more information or join the waitlist, you can visit Dataing.io
Eric McHugh is a digital entrepreneur and Web3 innovator, serving as President/Chief Growth Officer of Dataing.io, an Al-powered matching platform. With a background in ad optimization at SnapInc. and consulting Fortune 500 companies through chapter 11 bankruptcies.
Dataing.io is an Al-powered matchmaking platform co-founded by Eric McHugh. Unlike traditional dating apps that rely on user-created profiles and swiping, Dataing.io creates a digital profile for users based on their digital footprint, aiming to match them with individuals who have similar digital behaviors and interests. The platform's goal is to facilitate meaningful connections by leveraging Al to analyze users' online activities and preferences, thereby increasing the likelihood of compatible matches.
Dataing creates profiles and matches based on your digital footprint , then "Cupid," their Al assistant, helps with advice and dates ideas
Join me to hear all about this and where it's heading! It is a not to be missed episode.
For more information or join the waitlist, you can visit Dataing.io
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:00):
Welcome to The Rewrite, a podcast about divorce, choice and
new beginnings. I'm your host Wendy Sloan, former TV producer,
mom of two and one sweet golden retriever. This is
a space for real talk about the moments that break us,
the choices that define us, and the power we have
to begin again. You'll hear personal stories, heartfelt insights, and
(00:22):
honest conversations about healing relationships and reclaiming your life one
choice at a time. I'll be joined by experts in divorce, finance,
mental health, wellness and more and everything you need to
support your next chapter. The most powerful chapters might be
the ones you write next. Let's begin your rewrite together.
This episode is brought to in part by the Needle
(00:44):
Kuda Law Firm guidance that moves lives forward. Welcome to
the Rewrite. I'm your host, Wendy Sloan and my guests
Today an entrepreneur and visionary technologist and the founder of
the first ever AI powered dating app, Dating Dataing his
goal to help the world as much as he can
through tools tailor made with the intent of bringing everyone together.
(01:06):
Welcome to my show.
Speaker 2 (01:07):
Eric McHugh, Hey.
Speaker 3 (01:09):
Wendy, thank you so much for having me. I'm really
grateful to be here and looking forward to our conversation.
Speaker 1 (01:13):
Oh my gosh, wait, I'm still I have to just
say it again. The first ever AI powered matchmaker. How
in the world, how amazing? And how did this all
come about?
Speaker 3 (01:26):
Yeah, so we've been on the like me and my
partners have been on the dating ask for a while.
We know it doesn't work, We've looked at the data,
We've done a bunch of research on that end, and
it came about because of the rise of chat, GBT
and AI as a service. So before it wasn't really possible,
and now that AI is getting better and better, it's
getting better at matching. So what dating is. It's the
(01:48):
first ever a power matchmaking service. And we auto generate
dating profiles and matches based on the user's digital footprint. So,
for example, if you were to create an account, you
would like link your Twitter, you'd link your photos, you'd
chat with Cupid, and on the back end, tags are
generating to describe you and then your matches come based
(02:10):
on those specific tags. So for example, you could be
an avid bike reader. With the correlation of point seven,
turns out that bike bike riders match well with runners,
and you could get matches based on that. And the
cool thing about that is unlike other dating apps who
other dating apps rely on churn marketing. Like if you
think about their incentive structure, logically, if Tinder matches a
(02:33):
happy couple, what does this mean for Tinder? It means
that the happy couple leaves the app, resulting in Tinder
losing a paying customer. So they want people on their fares.
We also they want people down on the app, deleting
that app, down on the app, deleting the app, whereas
dating is different. So not only do our matches, we
create matches based on your digital footprint. The more active
you are on the app, the more you interact with
(02:55):
cup It, the more you chat with her, the more
you say yes, the more you say no. Those tags
are autoed generating. So the longer you're on the app,
the more likely you are to find a good match
because it's always learning about you and the yeah, and
the cool thing is the final differentiator is again the
incentive structure is after the match is made, keep it
(03:18):
can it switches from a matchmaker to a relationship butler
because it knows us both, so well like, for example,
we could have been, we could be a match. It's like, Okay,
you haven't been. Your anniversary is coming up, what should
we do? Oh, the place he had your second date
has half off ice cream, we can should go there.
Or it's like when they'se birthdays coming up. You always
mess this up just out of listening to a Pinterest board.
(03:39):
It may be a good gift. You can even ask
like dating advice. And this is a little known thing,
but it's actually one of the most because like when
you're building tech like a lot of features like you
don't plan them to be that way. It turned out
to me one of the most personalized AI chat assistants
because of how we it's like a layer two on
top of chat ebt, so we get all the benefit
(04:00):
of chatchybt, and but because you link your social media accounts,
it knows you on a personal level. So the problem
with chatchybt is I've seen people use chat gibt for
relationship advice, whereas like they take a screenshot like what
is the techt mad and how can I respond? The
issue of that is that's really just a mirror of
yourself because when you're asking chatchibt, it's giving you a response,
but it's giving you a response based on what it's scraping,
(04:23):
but what to learn from you. And we know with
the relationships, there's two people, So like, if you ask
chatchibt what you should do, it's going to give you an answer,
but it's gonna be tailor made to you. Whereas if
you ask dating, because it's like there's two people, it's
scraping two sources of data, it'll give you an answer
based on both users, not just one. And I think
that's really important when it comes to relationships.
Speaker 1 (04:45):
Wow, so you guys started all this because you were
on the dating apps and you realize like they really
weren't working.
Speaker 3 (04:51):
Correct, Yeah, So I would say the three main reasons
they weren't working are, well, we are, we are whatever,
the incentive one, which I think is the most interesting
one because it really shows where their heads at. But
on the dating apps, the top five percent of users
get access to pretty much everyone on the app, so
that creates a scheme marketplace. On the dating apps, it's
pretty much hot or not. So it's like are you
they hot? Yes or no? So I love soe right,
(05:13):
and that's not the best way to make a relationship.
And on top of that, like a lot of the
dating apps are pay to play, meaning like me as
a man, like if I want to see matches on
a Hinge, Bumble or Tinder, I actually have to pay
Otherwise I'm not going to see anyone and I'm likely
not to get shown. And then also screws with algorithm
and doesn't create like the organic authentic match because like
(05:33):
with dating, the goal again with their goal is to
keep people on the app because that's how they make
their money, whereas dating. Since we could act as a
relationship butler after, our goal is to put like I
would say, we're I want people on the dating app
to meet people in real life because that's really where
you can spark the connection. And we're just setting up
the back end where yes, you may meet this person.
It may or may not work out, like you never know,
(05:55):
but we're putting all the pieces in play where it's
likely to work out. Like for example, can at you
guys because you both love the same artists. It's like, hey,
Whendy and Eric matched. Oh did you know that you
both listened to this One artist is coming to town
in two weeks would you like to suggest date with
this artist? Great, that's a good first date if it
doesn't suggest that date, but it still makes them match
(06:15):
because of that specific data point that's still there. So
that's something that could come up in conversation. Help the
date go forward.
Speaker 2 (06:23):
So cupe it.
Speaker 1 (06:25):
So it's this match is based on a digital footprint.
Then cup it assists with it.
Speaker 3 (06:31):
Great, keep it's the cuban's the AI system.
Speaker 1 (06:34):
Okay, so you're cute, so cute? Yes, keep it. It's
like you so you ask cheap it the question coat.
So tell us more about the Cupid. Tell us more
about Cupid, like walk us through it.
Speaker 3 (06:46):
Yeah, so you joined the app for the first time.
You have a chat feature with Cupid. It's just like
chat ept on board yourself. You connect your data points,
it creates a profile for you. The profiles are auto generating,
so you have to create like a new profile every time.
The more you chat with it, the more like if
like let's say you get a new hobby or something.
You pick a horseback riding, you start posting about, you
(07:07):
start taking pictures, you start tweeting, It'll pick that up
and auto generate your profile based on that hobby. So
it's always at auto generating, but also keeps people on
the platform more honest because we Lord knows people lie
on dating app profiles, so if it's an auto generated
AI one, we keep them more honest. You have your profile,
you go with Cupid. You can either tell, you can tell,
(07:28):
you can ask keep it what you want to do,
Like I whenever I'm on vacation, like what should I do?
Where should I go? Which I eat? There to test
it out. But once you're within the keep it chat,
it'll give you matches. So like, oh, here's a match,
yes or no? You say yes, you say no. You
tell keep It why you don't like the match, why
you like the match? You tell keep it what you're
looking for. It memorizes all that. It keeps giving matches
and keeps optimizing this algorithm based on your matches. If
(07:52):
you see someone you like, let's say Okay, I think
when he's cool, I send you have a match request,
and just like a normal dating app, you see okay, Eric,
send me a match request. You can click out my profile.
You can see the AI generalor profile based on me.
You can see my like most reasons to do a flipper.
You're like Okay, Eric, seems cool, let's match for them.
From there, we're in our own private chat where we
can message like hey, Wendy, what's your number? We can
(08:13):
meet up? Or hey, do you want to get some
food or do you want to go? But the cool
thing is you can also tag cup it and ask
it questions about us or you, so like, Okay, what's
Wendy's what do you think Wendy's favorite movie is great?
It's Lord of the Rings? Oh why don't you write
a story and insert me and Wendy and Lord of
the Rings and then tell it to us And then
it could do stuff like that, or it can help
(08:36):
with relationship advice too, like we get we're testing it out.
It's like, well we are having this fight, this is
what happened, this is what happened. What do you think
this is? And then Wendy's going to come and be like, oh,
well that's not what happened. I keep it, this is
what happened, and then they'll give you that an answer
based on its scraping. And this is where it's so
important to take data from both sides, not just one side.
Speaker 1 (08:54):
So interesting, so it analyzes preferences behaviors. That is crazy. Yeah,
it's I mean, this is the way the world is trending.
This is like, what's happening now. I mean I just
started using actually chat GPT and I'm like, oh my.
Speaker 2 (09:10):
God, change my whole life.
Speaker 1 (09:12):
No, because it's amazing, I mean it can you know,
can I can tell me is this going to be
a good guest for my podcast or how would this
be a good guess?
Speaker 2 (09:20):
And it kind of So this is just pretty remarkable.
Speaker 1 (09:24):
I mean, I've had so many people on this podcast
that talks about the dating apps and how you know.
Speaker 2 (09:29):
One of the scary things is about the dating apps is.
Speaker 1 (09:32):
That you it kind of filters in the same kind
of people over and over, and even if you block somebody,
they still keep showing up and stuff.
Speaker 2 (09:40):
So the safety issue.
Speaker 1 (09:41):
Tell us about the safety issue with your dating app.
Speaker 3 (09:46):
Yeah, so the problem with dating apps, and I would
say the like, if you think of bots and farious
actors as kind of a similar thing with dating apps,
there's plenty of bots, so the chances of getting catfished
are actually pretty eigh and that's happened me personally. Whereas
it's a lot easier to fake a profile on a
dating app medium, like I could easily like right now,
if I wanted to, I can create a Tinder account.
I could create a SKIP, I could take a screenshot
(10:07):
of your image like you right now, and like, create
me six different photos of this woman. Great give me
six different variations than they, And Great now creates sixty accounts.
And now there's sixty of you on Tinder because I
wanted to create and I'm going to capfish it. And
that's not that hard. With AI getting better and better,
that's getting more and more scary. And the reason it's
easier to do that is because there's no different data sources,
(10:28):
Like I create account, where's the proof who I am?
Whereas this dating Since we drop from different data sources,
it's a lot harder to fake, meaning like if it's
harder to fake a photo collection, a Pinterest, a YouTube,
a Google calendar versus just one account. So that's how
we help bots. The cool thing about us is I
also want to keep the human aspect in because it
can't just like randomly banned people. So we have a
(10:49):
flagging system in place, so like hey this this person's
acting weird, this person's not like we always have a
reporting system in place. We have a flagging system in place,
we have a bot system in place, but the ultimate
decision is made by the humans. So it's like, oh,
is this person really no what someone on our team
will check that out. So that's how we how we
help prevent thoughts and regarding the safety because I think
(11:12):
I think safety is a bigger issue for women on
the dating app. I think if you're like meeting me,
meeting a random girl from a dating app isn't the
most dangerousing, but from the woman's side, it actually could be.
So that's where the digital footprint comes in. You can
see more of their history, like if like again, like
imagine someone like a zero killer looking in their Twitter.
It's like you see there, just post and you're just
like yes, no, no, thank you. And we're also incorporated
(11:34):
future where it can show mutual friends, meaning like you'd
be okay, well when you match with the Eric, let's
see who Eric is. Oh, we also have a couple
of mutual friends. Okay, he's a real person. And because
the AI profiles autogenerate, it's a lot harder for me
to lie on that as well. And we we're equilipally
the Karmo system in place, like just normal like if
you if you're rude, you're just not behaving well on
(11:54):
the app, you get ding karma points and then I'll
drop your matches as well. Interesting, yeahver go.
Speaker 2 (12:01):
There's no swiping on this one.
Speaker 3 (12:03):
No, it's just CHATGYBT but for dating. So you're basically
just talking and keep it telling you what it likes.
It shows you matches, you say yes no, and if
you move on, you move on. If you don't, you don't.
Speaker 2 (12:13):
Okay, so let's get into a little bit more detail.
Speaker 1 (12:15):
What are some of the things that dating uses to
match you with a compatible partner?
Speaker 3 (12:21):
Let me just bring that up. Yeah, so we have
a pretty comprehensive trade matrix. So on the back end,
when you like, what it uses is literally your digital footprints,
so it'll pick like if you were to create a profile,
creates a scan of you with like two hundred and
three hundred and four hundred depending on how data sources
different traits, so you could be like, Okay, Wendy is
a bike rider, a reader, she has a daughter, her fat,
(12:44):
she's big into family, she goes to church, she plays baseball.
You get all those different traits and it creates a
score based on those different traits. That makes matches based
on other people's trades. So we have different categories. The
different categories are interests, sexuality, personality, values, and lifestyle. So
those are the five main categories we use, and then
(13:05):
there's subtraits based on those individual categories. Each time you
get a trade, it creates a match, and then you
get a score from that, and it just talies up
all those scores and then gives you matches based on compatibility.
And the cool thing is, like I said, the app
is always learning, So the more you're on the app,
the more it learns about you, the better it can match.
And leading cooler thing is AI is really good at
pattern recognition, scale and analyzing large data sets. So while
(13:28):
you're interacting with Cupid, it's learning about you. But while
I'm interacting with the Cupid, it's learning about me. While
all the other users are interacting Cupid, it's learning about them.
So it can pick up patterns that we would miss
as humans and then incorporate that in its algorithm. Like
I'll throw an example that doesn't it's obviously fake. But
let's say there's a randomly high correlation between people who
like who wear black shirts and they match really well
(13:49):
with people who are brown tis. For whatever reason, me
as a human would miss that. But since keep It's
analyzing data at such a large scale, it can pick
up that that we would all miss and then create
matches based on that. So keep It is actually the
worst it's going to be right now because it's always learning.
So every time someone chats with the app, every time
someone links with the source, every time someone makes a match,
(14:10):
it's actually helping the system, which is actually helping everyone
Elmo the system as a whole. So it's like a
win win win, and long term you can match friends
and stuff.
Speaker 2 (14:19):
Too unbelievable, I have to say.
Speaker 1 (14:22):
So, you launched on Valentine's Day twenty twenty four and
it's been how has it been since since the launch?
Speaker 3 (14:28):
Yeah, so it's been pretty fun. So the launch twenty
twenty four, we launched so wait list, and the cool
thing is since we're beout on top of chat CBT,
the tech what like, we could use it and stuff.
It just wasn't as clean as it was. Like I
would talk to keep It, it would kind of spaz out,
Like one time I was talking, it started speaking like
a Jamaican accent type of thing where it's like, what
are you doing? But now we yeah, so like but
(14:50):
chat Gibt is also improving itself. So as chat Gibt
creates improvements within their core system, we get all the benefits.
We're just a person that was layer on top of that.
So we launch the Way to Listen twenty twenty four.
It's like a soft launch, so we got around with
like a thousand, five hundred people just organically wanted to
check it out, and then we launched the actual app
itself around a month or a month and a half ago.
(15:13):
So I would say it's been going pretty well, and
we're the approach you're doing is we're following the in
and out approach meeting. We're focused on the LA area
because if we're going to match people like in LA
and New York, it's cool, I guess, but it's not
the most helpful thing. So we're focusing on LA expanding
out and we're seeing where users are joining on the
app organically, and then we're gonna use as a heat
map to see where to go to next. Like we
(15:33):
for whatever reason, there's much being Nashville were joining, so
it's like a maybe National is a good city, so
we're using that as a lead gen source.
Speaker 1 (15:40):
So can you match from Can can like someone from
Connecticut match with someone like, say in Texas At.
Speaker 3 (15:48):
This present moment, you can. We're billion the location feature
very soon. The reason we decided to keep it that
way is because we have more people interacting with that
so learn quicker. So want to hit a specific threshold
and we end it and we have enough users in
a specific city in many La, then we can turn
on the location feature. Me, Hey, you can match with
so right now, the default is you can match across
(16:10):
the city or across the country, but very soon it's like, hey,
let me let me match with some within twenty miles
of where I'm at, because obviously that's really important.
Speaker 2 (16:18):
So many more questions.
Speaker 1 (16:20):
Eric McHugh he's the founder of the first ever AI
powered matchmaker called Dating.
Speaker 2 (16:26):
We'll be right back right after this break from our.
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Mchughe first ever Ai powered Matchmaker, and the dating app
(17:51):
is called dating Gosh, so many dating apps, there's so
much limitation in them. Can you explain?
Speaker 2 (18:00):
I think that what you're doing is going to like
blow out all the other ones. I hate, I hate
to say it like that, but I just feel like
there's so many I don't know.
Speaker 1 (18:10):
People say they meet on Tender, people say they meet
on Hinge, people say they meet on Bumble all the time.
Speaker 2 (18:15):
But there are but tell us about that.
Speaker 3 (18:20):
I know people meet on people do meet on those
dating apps, but a lot of times. And the thing is,
like i'd say, I think families are very important, and
I think a lot of the big reason I come
from a family of divorce too. I think a lot
of the reason that divorce happens is I think people
matched when they weren't compatible. They just match because like
they're the only people in the general area. So what
dating does. We take that data different approach, so we
(18:42):
match on the back end first, Like like I said,
it's going to match based on compatibility traits, so you
have the biggest potential for you to succeed. And the
cool thing is once I think the relationship of their
aspect is actually what differentiates the app the most meaning.
Once the app is made, it can help you and
support you throughout the whole relationship. It as a personalized
AI chat assistant for you, and it can answer pretty
(19:05):
much anything based on your personal eyes. Like me and
my teammates were testing it out and we were just
messing around. Where's like hey, keeping Like we were talking
about like Paula Yamory and all that stuff, Like I
believe in monogamy, but people believe in whatever they want,
no judgment, but like, really, hey, keep it. We want
to introduce a new couple into a relationship. And then
it was able to how would you recommend do that?
(19:25):
How would you recommend doing that? How would you recommend
doing that in a fun way? How would you recommend
doing the way that tailors to both of us? And
I was able to capture my personality or me I
would don't care that much. But then the other the
girl was testing out with, she's like, well, she's a
little more shy, she's the more safety, she's the more cautious.
So you want to do it in a small way
at first, Just bring it up, don't be too aggressive,
(19:46):
don't do that. And I was able to give really
good advice on how to handle that specific issue and
we're both shocked. So the relationship Butler, I think is
the that's my favorite part of the thing, and it
creates better incentive for us as a company too. Now
we're incentivized to make good matches, not keep people on
the app, or we're keeping people on the app when
you get.
Speaker 1 (20:03):
Away, but the app stays with you, so very different
from other apps, Like once you match somebody on Bumble,
you kind of like you get off the app and
you're done or whatever, and you move on, right unless
you break up and you need to get back on
an app.
Speaker 2 (20:16):
This one's stays can stay with you.
Speaker 3 (20:18):
Correct, It stays with you the whole time, and then
the cool things are building it out so you can
match its friends too, Like I'm sure we interact with
our friends different way, Like some of my friends on
the app and we use it to roast each other
type of thing where it's like pick which Pokemon we're
most like, and we're like, ah, you kind of dumb Pokemon.
But for you, it's like you could have your friends
and you can talk about the matches too, so you
can be able to like, Okay, match with this person,
(20:38):
then you can run it through the group chat and
then see what it says about them, and then see
what your friends say about them, and you can get
have fun with that too.
Speaker 2 (20:45):
That is so fun.
Speaker 1 (20:46):
So you plan to connect at least one billion people together?
What led you to find that data?
Speaker 3 (20:53):
So that's more of a spiritual thing. So I believe
that your thoughts create your reality, and I think you
need to create an anchor. So that's more of just
like the end goal. It's like, what do we want
to do because we're trying to create connect a billion
happy couples. That means that a billion happy people. We're
eventually going to do it. And how we reach that goal,
we don't particularly know. It's just something we're shooting for
because honestly, for me, it's like, I think one of
(21:13):
the biggest positive impacts that I can personally leave is
let's say match one dating matches one couple that works
super well together, they have a great family, and it
just everyone's happy. I think that is a really big
impact a person could leave that helps future generations, especially
if we could scale that. I think that's awesome.
Speaker 1 (21:32):
So, so what is the age range that you're focusing
on or that you plan to focus on moving forward
since it is relatively new.
Speaker 3 (21:40):
Yeah, so we first tried college kids and that I mean,
that's cool because you get some cool content stuff and
people are posting about it, but they just have too
many options at the point in time. We found the
best success between. First off, we find really really good
success in niche groups, like for example, if like if
you're post divorced, Like if we had a bunch of
people who are who have dealt with divorce, I think
(22:01):
that'd be a strong place in Matchew just because you've
been in so much situation. So niche groups we crush.
General group wise, we find that twenty five to thirty
five is the best range. And the reason that's the
best range for us is they've just left college in
the workforce and you know, when you join the workforce,
like you just you just don't have Yeah, you have
no time, you don't have access to all your friends
(22:22):
and not just people walking in and out of your life.
So the dating is a more efficient way to date
and so and people are more looking for like more
long term relationships to that statement of life. Anyway, So
twenty five to thirty five right when they leave colleges.
I think that's our niche. It's like to actually get
the technology too. It's like, oh, this is cool, I
can use it. I'm already using CHATTYBT.
Speaker 2 (22:41):
Oh my god.
Speaker 1 (22:42):
Right, the technology is like unbelievable. And I like, I
just said, okay, so I'm way over that age. But
I was like, the chat chipet just came to me
and I'm like, why didn't I know about this singer?
And how amazing And just the fact that you guys
are so technology based with this AI and it's powered
and AI powered, it's pretty remarkable. I mean what I
(23:05):
mean back way back when none of this existed. So
the fact that you guys created this is amazing.
Speaker 3 (23:13):
Kudos to all of you, like as a right place,
right time where it's like we've had the idea for
a while, but there was just no way to actually
execute it that worked. But what was the prize of
chat GBT and GBT and agents really, Oh, you can
actually do this now because we were at the right
place for a while, just waiting for the right time,
the right time game, and we were able to we
were able to execute on that.
Speaker 1 (23:35):
I think you're going to be expanding for like, I
think this is going to go way beyond everything that
you ever imagine. I think you're going to go in
all different age groups. I mean just look now, look
at the Golden Bachelor. I mean, you know, at people
finding love in their sixties, seventies, eighties. I mean I
had someone on the podcast that it was like in
her you know, divorced three times in into her fourth
(23:58):
marriage and living her best life.
Speaker 3 (24:00):
Like that's cool. It's great when you see that. Actually,
it's great when you see things like I love seeing
love success stories.
Speaker 1 (24:07):
Right, and I and I have to say, like The Bachelor,
I don't want to say it, but like, you know there,
I was a television producer, so I know what it's
and I worked for Harold Rivera when we still when
we didn't do news, when we weren't covering O. J.
Simpson's trial and John Minny Ramsey's murder, when we were
doing like the I want to say, trash TV and
you know, put people in different green rooms and kind
(24:29):
of like guess them. That's what That's the way reality
TV was back then, right, So I feel like The
Bachelor is a little bit like that. But the Golden bachelor.
I feel like at that age, they're all like happy
to be, you know, finding new even if they don't
find love, they found new friends. And to find new
friends at that age is a beautiful thing too. So
I think you're going to go into several different age
(24:50):
groups eventually, and this is going to explode beyond your
one billion that you think.
Speaker 3 (24:57):
I'm like, I think it's going to explode. It's just
it's going to get that spark eventually, like the right
person's gonna find Like I start talking about. The cool
thing about our app is it has it gets the
second and order or affects me. It's so interesting and
cool and like people are talking about in the background,
and that's you're generating a bunch of matches. But yeah,
I think it's gonna expand to different age groups and
different categories, like you said, like I want it to be.
(25:17):
I think overall human relationships are important for you happiness,
not just like partner relationship, but like friends and stuff
Like I wouldn't be able to go on the app
and like, hey, find me five guys in my local
area who are into more time into meditation. So I
think it can help people that way. It can help
when we're already testing out with networking events too. It's
like like la, you go to a networking event, It's
like who's your match at the specific networking event, everyone's
(25:39):
signed up. They'll find the most compedible person, meet this
person and see how it goes. So yeah, like it's
going to expand really quickly. The dating was just like
the first point we entered, just because the dating market
is just I think it does. I think it does
need help. So that was I think dating is just
the entry point. I think we're gonna expand to all
age groups, a bunch of different verticals, but we want
to nail the matchmaking down with dating first.
Speaker 1 (26:01):
I think it's brilliant and I and I loved everything
about your your bio too, because you are this authentic
person like you you're when you set me your form,
it just everything just popped out about you that you
just like have this goodness in you And look what
you're trying to do. You're trying to connect when billion
happy couples, if not more, pretty pretty amazing. So do
(26:24):
you guys spend like your day around this, like coming
up with new ideas or or just continuing to build this.
Speaker 3 (26:34):
Yeah, So the day is pretty much like I have
a couple of copies too, So I just jump around
which wherever, whatever most excites media and a lot of
times that it is dating. So it's more of a
constant thing. Like since we're a small startup, like we're scrappy,
the team is constantly thinking about stuff. So we have
like our group chop, like we're always like does this work?
Yes or no? Now this is the idea of stupid.
Let's have this idea could work, Let's test it out.
(26:54):
And so what basically we have to do is we
have to try a bunch of things. A lot of
it fails, but as soon as something gains traction, we
have to do well.
Speaker 1 (27:00):
Down.
Speaker 3 (27:00):
The team's actually coming over today for like a in
person meet work up, in person work meet, which is
always fun because we just hang out, hike and because
when you get people in the same room thinking about
the same thing, that's when the magic happens.
Speaker 2 (27:13):
I believe it.
Speaker 1 (27:14):
I mean this is already like magic. I feel like
it's already happening. AI powered matchmaking. The dating app is
called Dating. I think everyone should go.
Speaker 2 (27:25):
On and see. So that app is the app? So
is it easy.
Speaker 1 (27:27):
Is it easy to work? Is it easy to work
for someone that's not like you know in your guys
age dreams. That's technology challenged.
Speaker 3 (27:35):
Correct. We're making it as easy as possible, and the
cool thing is it's always getting easier. So we just
search dating in the app store, down the app create,
just like putting your basic information like age, what you're
looking for, all that cool stuff like every other dating app,
And then all you have to do is chat with Cupid.
It shows you matches. You tell them what you're looking
for it and say yes or no, describe yourself a bit,
and the match pool continuously updates.
Speaker 2 (27:57):
Pretty And how do you track? How does it track?
How do you track it?
Speaker 3 (28:01):
What do you mean by tracking?
Speaker 2 (28:02):
How do you guys? How do you guys track it? Like,
how do you guys know what? Like what's working? What's
not working?
Speaker 3 (28:08):
So the cool thing is a lot of feed We
have a lot of feedback from early users and that's
where a lot of our features are coming in and
meaning like hey, I want this, I want this. The
French chat is actually a request from users, so we're
tracking it that way, we can we have all the
metrics in place, so we can see where people are
getting lost on the app, or like let's say they
don't make it to the automboarding flow where they stop.
(28:28):
So we have all those metrics in place. We can
see where people are clicking. It's like, okay, they're clicking here, Okay,
they got to the home screen. They're not quite sure
what to do. Oh they don't know to chat is
keeping And that's where you have put like a little
arrow direction type things like I'll click here for your matches,
so we're always tracking that. You can see part of
the chats like Okay, this person's just not getting it.
Why are they not getting it? And then you have
to optimize the prompt from that so like it's like, okay,
(28:51):
keep its freaking out. Why is it freaking out out?
It's freaking out because this specific thing was to ask
this thing. It doesn't know what to do with it.
Then you go back to the main AI prompt and
you adjust that and see how So that's it's like
a constant optimization thing.
Speaker 1 (29:04):
Pretty remarkable, Eric McKey, Any last minute thoughts and oh
and I have a last minute thought. What's new and
what's coming next?
Speaker 3 (29:13):
So we just implemented the group chats. So you can
ask about like you could ask about sort of people
in your chat. The cool thing is, so what we
just implemented was matches is getting better, adding new profile pictures,
group chats, friend chats, so you can not match with friends.
We just added a feature where again this is a
user request where it's like I want to match my
(29:35):
current partner, but I don't want to be shown to
the dating pool. So now you can remove yourself from
the dating pool so you're not shown. That's coming The
biggest thing, I'm oh, something that's coming up that's really
soon as image generation, So we're just about to implement that,
meaning we could ever match like and then like I
mentioned Lord of the Rings, it's like, okay, create an
image of me and Wendy and Lord of the Rings
(29:56):
that type of thing. So we're just about to implement
image generation, and then we're gonna like actual group chats
so you can all talk in one group where it's like, okay,
here's our of the four of us. I want to
share a match, I want to share a photo, I
want to share his voice note, and then you can
talk about that. So immage generation and full on group
chats are next.
Speaker 1 (30:14):
Simply amazing the first ever AI powered matchmaker called Dating.
Speaker 2 (30:19):
I wish you tons and tons of success. I know
it's going to be so successful and.
Speaker 1 (30:23):
That I think this is like wonderful what you're doing
and so creative and so inspirational too.
Speaker 2 (30:30):
Thank you so much for you to come back with
your first success story.
Speaker 3 (30:34):
Oh that'd be fun.
Speaker 1 (30:35):
And I want you to come back and tell me,
like and every stuff you make. I want you to
come back and talk to us, like come back after
you like make the next age group and all the
new things that you're doing. Because I'm a huge fan
of this. I think this is like really amazing.
Speaker 3 (30:49):
Yeah, I would definitely do that. I'd kind of funn
we bring the success story on.
Speaker 1 (30:53):
Yeah, I would love I would love it and like
their whole like from start to finish of how it
all happened.
Speaker 2 (30:57):
That would be great.
Speaker 3 (30:59):
Oh definitely, I'm going to follow you.
Speaker 2 (31:01):
I look forward to it. Thank you so much for
being here, Thanks for reaching out.
Speaker 1 (31:05):
Thank you.
Speaker 2 (31:06):
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five seven nine to five zero zero
Welcome to The Rewrite, a podcast about divorce, choice and
new beginnings. I'm your host Wendy Sloan, former TV producer,
mom of two and one sweet golden retriever. This is
a space for real talk about the moments that break us,
the choices that define us, and the power we have
to begin again. You'll hear personal stories, heartfelt insights, and
(00:22):
honest conversations about healing relationships and reclaiming your life one
choice at a time. I'll be joined by experts in divorce, finance,
mental health, wellness and more and everything you need to
support your next chapter. The most powerful chapters might be
the ones you write next. Let's begin your rewrite together.
This episode is brought to in part by the Needle
(00:44):
Kuda Law Firm guidance that moves lives forward. Welcome to
the Rewrite. I'm your host, Wendy Sloan and my guests
Today an entrepreneur and visionary technologist and the founder of
the first ever AI powered dating app, Dating Dataing his
goal to help the world as much as he can
through tools tailor made with the intent of bringing everyone together.
(01:06):
Welcome to my show.
Speaker 2 (01:07):
Eric McHugh, Hey.
Speaker 3 (01:09):
Wendy, thank you so much for having me. I'm really
grateful to be here and looking forward to our conversation.
Speaker 1 (01:13):
Oh my gosh, wait, I'm still I have to just
say it again. The first ever AI powered matchmaker. How
in the world, how amazing? And how did this all
come about?
Speaker 3 (01:26):
Yeah, so we've been on the like me and my
partners have been on the dating ask for a while.
We know it doesn't work, We've looked at the data,
We've done a bunch of research on that end, and
it came about because of the rise of chat, GBT
and AI as a service. So before it wasn't really possible,
and now that AI is getting better and better, it's
getting better at matching. So what dating is. It's the
(01:48):
first ever a power matchmaking service. And we auto generate
dating profiles and matches based on the user's digital footprint. So,
for example, if you were to create an account, you
would like link your Twitter, you'd link your photos, you'd
chat with Cupid, and on the back end, tags are
generating to describe you and then your matches come based
(02:10):
on those specific tags. So for example, you could be
an avid bike reader. With the correlation of point seven,
turns out that bike bike riders match well with runners,
and you could get matches based on that. And the
cool thing about that is unlike other dating apps who
other dating apps rely on churn marketing. Like if you
think about their incentive structure, logically, if Tinder matches a
(02:33):
happy couple, what does this mean for Tinder? It means
that the happy couple leaves the app, resulting in Tinder
losing a paying customer. So they want people on their fares.
We also they want people down on the app, deleting
that app, down on the app, deleting the app, whereas
dating is different. So not only do our matches, we
create matches based on your digital footprint. The more active
you are on the app, the more you interact with
(02:55):
cup It, the more you chat with her, the more
you say yes, the more you say no. Those tags
are autoed generating. So the longer you're on the app,
the more likely you are to find a good match
because it's always learning about you and the yeah, and
the cool thing is the final differentiator is again the
incentive structure is after the match is made, keep it
(03:18):
can it switches from a matchmaker to a relationship butler
because it knows us both, so well like, for example,
we could have been, we could be a match. It's like, Okay,
you haven't been. Your anniversary is coming up, what should
we do? Oh, the place he had your second date
has half off ice cream, we can should go there.
Or it's like when they'se birthdays coming up. You always
mess this up just out of listening to a Pinterest board.
(03:39):
It may be a good gift. You can even ask
like dating advice. And this is a little known thing,
but it's actually one of the most because like when
you're building tech like a lot of features like you
don't plan them to be that way. It turned out
to me one of the most personalized AI chat assistants
because of how we it's like a layer two on
top of chat ebt, so we get all the benefit
(04:00):
of chatchybt, and but because you link your social media accounts,
it knows you on a personal level. So the problem
with chatchybt is I've seen people use chat gibt for
relationship advice, whereas like they take a screenshot like what
is the techt mad and how can I respond? The
issue of that is that's really just a mirror of
yourself because when you're asking chatchibt, it's giving you a response,
but it's giving you a response based on what it's scraping,
(04:23):
but what to learn from you. And we know with
the relationships, there's two people, So like, if you ask
chatchibt what you should do, it's going to give you an answer,
but it's gonna be tailor made to you. Whereas if
you ask dating, because it's like there's two people, it's
scraping two sources of data, it'll give you an answer
based on both users, not just one. And I think
that's really important when it comes to relationships.
Speaker 1 (04:45):
Wow, so you guys started all this because you were
on the dating apps and you realize like they really
weren't working.
Speaker 3 (04:51):
Correct, Yeah, So I would say the three main reasons
they weren't working are, well, we are, we are whatever,
the incentive one, which I think is the most interesting
one because it really shows where their heads at. But
on the dating apps, the top five percent of users
get access to pretty much everyone on the app, so
that creates a scheme marketplace. On the dating apps, it's
pretty much hot or not. So it's like are you
they hot? Yes or no? So I love soe right,
(05:13):
and that's not the best way to make a relationship.
And on top of that, like a lot of the
dating apps are pay to play, meaning like me as
a man, like if I want to see matches on
a Hinge, Bumble or Tinder, I actually have to pay
Otherwise I'm not going to see anyone and I'm likely
not to get shown. And then also screws with algorithm
and doesn't create like the organic authentic match because like
(05:33):
with dating, the goal again with their goal is to
keep people on the app because that's how they make
their money, whereas dating. Since we could act as a
relationship butler after, our goal is to put like I
would say, we're I want people on the dating app
to meet people in real life because that's really where
you can spark the connection. And we're just setting up
the back end where yes, you may meet this person.
It may or may not work out, like you never know,
(05:55):
but we're putting all the pieces in play where it's
likely to work out. Like for example, can at you
guys because you both love the same artists. It's like, hey,
Whendy and Eric matched. Oh did you know that you
both listened to this One artist is coming to town
in two weeks would you like to suggest date with
this artist? Great, that's a good first date if it
doesn't suggest that date, but it still makes them match
(06:15):
because of that specific data point that's still there. So
that's something that could come up in conversation. Help the
date go forward.
Speaker 2 (06:23):
So cupe it.
Speaker 1 (06:25):
So it's this match is based on a digital footprint.
Then cup it assists with it.
Speaker 3 (06:31):
Great, keep it's the cuban's the AI system.
Speaker 1 (06:34):
Okay, so you're cute, so cute? Yes, keep it. It's
like you so you ask cheap it the question coat.
So tell us more about the Cupid. Tell us more
about Cupid, like walk us through it.
Speaker 3 (06:46):
Yeah, so you joined the app for the first time.
You have a chat feature with Cupid. It's just like
chat ept on board yourself. You connect your data points,
it creates a profile for you. The profiles are auto generating,
so you have to create like a new profile every time.
The more you chat with it, the more like if
like let's say you get a new hobby or something.
You pick a horseback riding, you start posting about, you
(07:07):
start taking pictures, you start tweeting, It'll pick that up
and auto generate your profile based on that hobby. So
it's always at auto generating, but also keeps people on
the platform more honest because we Lord knows people lie
on dating app profiles, so if it's an auto generated
AI one, we keep them more honest. You have your profile,
you go with Cupid. You can either tell, you can tell,
(07:28):
you can ask keep it what you want to do,
Like I whenever I'm on vacation, like what should I do?
Where should I go? Which I eat? There to test
it out. But once you're within the keep it chat,
it'll give you matches. So like, oh, here's a match,
yes or no? You say yes, you say no. You
tell keep It why you don't like the match, why
you like the match? You tell keep it what you're
looking for. It memorizes all that. It keeps giving matches
and keeps optimizing this algorithm based on your matches. If
(07:52):
you see someone you like, let's say Okay, I think
when he's cool, I send you have a match request,
and just like a normal dating app, you see okay, Eric,
send me a match request. You can click out my profile.
You can see the AI generalor profile based on me.
You can see my like most reasons to do a flipper.
You're like Okay, Eric, seems cool, let's match for them.
From there, we're in our own private chat where we
can message like hey, Wendy, what's your number? We can
(08:13):
meet up? Or hey, do you want to get some
food or do you want to go? But the cool
thing is you can also tag cup it and ask
it questions about us or you, so like, Okay, what's
Wendy's what do you think Wendy's favorite movie is great?
It's Lord of the Rings? Oh why don't you write
a story and insert me and Wendy and Lord of
the Rings and then tell it to us And then
it could do stuff like that, or it can help
(08:36):
with relationship advice too, like we get we're testing it out.
It's like, well we are having this fight, this is
what happened, this is what happened. What do you think
this is? And then Wendy's going to come and be like, oh,
well that's not what happened. I keep it, this is
what happened, and then they'll give you that an answer
based on its scraping. And this is where it's so
important to take data from both sides, not just one side.
Speaker 1 (08:54):
So interesting, so it analyzes preferences behaviors. That is crazy. Yeah,
it's I mean, this is the way the world is trending.
This is like, what's happening now. I mean I just
started using actually chat GPT and I'm like, oh my.
Speaker 2 (09:10):
God, change my whole life.
Speaker 1 (09:12):
No, because it's amazing, I mean it can you know,
can I can tell me is this going to be
a good guest for my podcast or how would this
be a good guess?
Speaker 2 (09:20):
And it kind of So this is just pretty remarkable.
Speaker 1 (09:24):
I mean, I've had so many people on this podcast
that talks about the dating apps and how you know.
Speaker 2 (09:29):
One of the scary things is about the dating apps is.
Speaker 1 (09:32):
That you it kind of filters in the same kind
of people over and over, and even if you block somebody,
they still keep showing up and stuff.
Speaker 2 (09:40):
So the safety issue.
Speaker 1 (09:41):
Tell us about the safety issue with your dating app.
Speaker 3 (09:46):
Yeah, so the problem with dating apps, and I would
say the like, if you think of bots and farious
actors as kind of a similar thing with dating apps,
there's plenty of bots, so the chances of getting catfished
are actually pretty eigh and that's happened me personally. Whereas
it's a lot easier to fake a profile on a
dating app medium, like I could easily like right now,
if I wanted to, I can create a Tinder account.
I could create a SKIP, I could take a screenshot
(10:07):
of your image like you right now, and like, create
me six different photos of this woman. Great give me
six different variations than they, And Great now creates sixty accounts.
And now there's sixty of you on Tinder because I
wanted to create and I'm going to capfish it. And
that's not that hard. With AI getting better and better,
that's getting more and more scary. And the reason it's
easier to do that is because there's no different data sources,
(10:28):
Like I create account, where's the proof who I am?
Whereas this dating Since we drop from different data sources,
it's a lot harder to fake, meaning like if it's
harder to fake a photo collection, a Pinterest, a YouTube,
a Google calendar versus just one account. So that's how
we help bots. The cool thing about us is I
also want to keep the human aspect in because it
can't just like randomly banned people. So we have a
(10:49):
flagging system in place, so like hey this this person's
acting weird, this person's not like we always have a
reporting system in place. We have a flagging system in place,
we have a bot system in place, but the ultimate
decision is made by the humans. So it's like, oh,
is this person really no what someone on our team
will check that out. So that's how we how we
help prevent thoughts and regarding the safety because I think
(11:12):
I think safety is a bigger issue for women on
the dating app. I think if you're like meeting me,
meeting a random girl from a dating app isn't the
most dangerousing, but from the woman's side, it actually could be.
So that's where the digital footprint comes in. You can
see more of their history, like if like again, like
imagine someone like a zero killer looking in their Twitter.
It's like you see there, just post and you're just
like yes, no, no, thank you. And we're also incorporated
(11:34):
future where it can show mutual friends, meaning like you'd
be okay, well when you match with the Eric, let's
see who Eric is. Oh, we also have a couple
of mutual friends. Okay, he's a real person. And because
the AI profiles autogenerate, it's a lot harder for me
to lie on that as well. And we we're equilipally
the Karmo system in place, like just normal like if
you if you're rude, you're just not behaving well on
(11:54):
the app, you get ding karma points and then I'll
drop your matches as well. Interesting, yeahver go.
Speaker 2 (12:01):
There's no swiping on this one.
Speaker 3 (12:03):
No, it's just CHATGYBT but for dating. So you're basically
just talking and keep it telling you what it likes.
It shows you matches, you say yes no, and if
you move on, you move on. If you don't, you don't.
Speaker 2 (12:13):
Okay, so let's get into a little bit more detail.
Speaker 1 (12:15):
What are some of the things that dating uses to
match you with a compatible partner?
Speaker 3 (12:21):
Let me just bring that up. Yeah, so we have
a pretty comprehensive trade matrix. So on the back end,
when you like, what it uses is literally your digital footprints,
so it'll pick like if you were to create a profile,
creates a scan of you with like two hundred and
three hundred and four hundred depending on how data sources
different traits, so you could be like, Okay, Wendy is
a bike rider, a reader, she has a daughter, her fat,
(12:44):
she's big into family, she goes to church, she plays baseball.
You get all those different traits and it creates a
score based on those different traits. That makes matches based
on other people's trades. So we have different categories. The
different categories are interests, sexuality, personality, values, and lifestyle. So
those are the five main categories we use, and then
(13:05):
there's subtraits based on those individual categories. Each time you
get a trade, it creates a match, and then you
get a score from that, and it just talies up
all those scores and then gives you matches based on compatibility.
And the cool thing is, like I said, the app
is always learning, So the more you're on the app,
the more it learns about you, the better it can match.
And leading cooler thing is AI is really good at
pattern recognition, scale and analyzing large data sets. So while
(13:28):
you're interacting with Cupid, it's learning about you. But while
I'm interacting with the Cupid, it's learning about me. While
all the other users are interacting Cupid, it's learning about them.
So it can pick up patterns that we would miss
as humans and then incorporate that in its algorithm. Like
I'll throw an example that doesn't it's obviously fake. But
let's say there's a randomly high correlation between people who
like who wear black shirts and they match really well
(13:49):
with people who are brown tis. For whatever reason, me
as a human would miss that. But since keep It's
analyzing data at such a large scale, it can pick
up that that we would all miss and then create
matches based on that. So keep It is actually the
worst it's going to be right now because it's always learning.
So every time someone chats with the app, every time
someone links with the source, every time someone makes a match,
(14:10):
it's actually helping the system, which is actually helping everyone
Elmo the system as a whole. So it's like a
win win win, and long term you can match friends
and stuff.
Speaker 2 (14:19):
Too unbelievable, I have to say.
Speaker 1 (14:22):
So, you launched on Valentine's Day twenty twenty four and
it's been how has it been since since the launch?
Speaker 3 (14:28):
Yeah, so it's been pretty fun. So the launch twenty
twenty four, we launched so wait list, and the cool
thing is since we're beout on top of chat CBT,
the tech what like, we could use it and stuff.
It just wasn't as clean as it was. Like I
would talk to keep It, it would kind of spaz out,
Like one time I was talking, it started speaking like
a Jamaican accent type of thing where it's like, what
are you doing? But now we yeah, so like but
(14:50):
chat Gibt is also improving itself. So as chat Gibt
creates improvements within their core system, we get all the benefits.
We're just a person that was layer on top of that.
So we launch the Way to Listen twenty twenty four.
It's like a soft launch, so we got around with
like a thousand, five hundred people just organically wanted to
check it out, and then we launched the actual app
itself around a month or a month and a half ago.
(15:13):
So I would say it's been going pretty well, and
we're the approach you're doing is we're following the in
and out approach meeting. We're focused on the LA area
because if we're going to match people like in LA
and New York, it's cool, I guess, but it's not
the most helpful thing. So we're focusing on LA expanding
out and we're seeing where users are joining on the
app organically, and then we're gonna use as a heat
map to see where to go to next. Like we
(15:33):
for whatever reason, there's much being Nashville were joining, so
it's like a maybe National is a good city, so
we're using that as a lead gen source.
Speaker 1 (15:40):
So can you match from Can can like someone from
Connecticut match with someone like, say in Texas At.
Speaker 3 (15:48):
This present moment, you can. We're billion the location feature
very soon. The reason we decided to keep it that
way is because we have more people interacting with that
so learn quicker. So want to hit a specific threshold
and we end it and we have enough users in
a specific city in many La, then we can turn
on the location feature. Me, Hey, you can match with
so right now, the default is you can match across
(16:10):
the city or across the country, but very soon it's like, hey,
let me let me match with some within twenty miles
of where I'm at, because obviously that's really important.
Speaker 2 (16:18):
So many more questions.
Speaker 1 (16:20):
Eric McHugh he's the founder of the first ever AI
powered matchmaker called Dating.
Speaker 2 (16:26):
We'll be right back right after this break from our.
Speaker 1 (16:28):
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Off a device.
Speaker 1 (17:10):
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compassionate expert advice, you can move forward with clarity and confidence.
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finances and build lasting financial stability. We're back with Eric
Mchughe first ever Ai powered Matchmaker, and the dating app
(17:51):
is called dating Gosh, so many dating apps, there's so
much limitation in them. Can you explain?
Speaker 2 (18:00):
I think that what you're doing is going to like
blow out all the other ones. I hate, I hate
to say it like that, but I just feel like
there's so many I don't know.
Speaker 1 (18:10):
People say they meet on Tender, people say they meet
on Hinge, people say they meet on Bumble all the time.
Speaker 2 (18:15):
But there are but tell us about that.
Speaker 3 (18:20):
I know people meet on people do meet on those
dating apps, but a lot of times. And the thing is,
like i'd say, I think families are very important, and
I think a lot of the big reason I come
from a family of divorce too. I think a lot
of the reason that divorce happens is I think people
matched when they weren't compatible. They just match because like
they're the only people in the general area. So what
dating does. We take that data different approach, so we
(18:42):
match on the back end first, Like like I said,
it's going to match based on compatibility traits, so you
have the biggest potential for you to succeed. And the
cool thing is once I think the relationship of their
aspect is actually what differentiates the app the most meaning.
Once the app is made, it can help you and
support you throughout the whole relationship. It as a personalized
AI chat assistant for you, and it can answer pretty
(19:05):
much anything based on your personal eyes. Like me and
my teammates were testing it out and we were just
messing around. Where's like hey, keeping Like we were talking
about like Paula Yamory and all that stuff, Like I
believe in monogamy, but people believe in whatever they want,
no judgment, but like, really, hey, keep it. We want
to introduce a new couple into a relationship. And then
it was able to how would you recommend do that?
(19:25):
How would you recommend doing that? How would you recommend
doing that in a fun way? How would you recommend
doing the way that tailors to both of us? And
I was able to capture my personality or me I
would don't care that much. But then the other the
girl was testing out with, she's like, well, she's a
little more shy, she's the more safety, she's the more cautious.
So you want to do it in a small way
at first, Just bring it up, don't be too aggressive,
(19:46):
don't do that. And I was able to give really
good advice on how to handle that specific issue and
we're both shocked. So the relationship Butler, I think is
the that's my favorite part of the thing, and it
creates better incentive for us as a company too. Now
we're incentivized to make good matches, not keep people on
the app, or we're keeping people on the app when
you get.
Speaker 1 (20:03):
Away, but the app stays with you, so very different
from other apps, Like once you match somebody on Bumble,
you kind of like you get off the app and
you're done or whatever, and you move on, right unless
you break up and you need to get back on
an app.
Speaker 2 (20:16):
This one's stays can stay with you.
Speaker 3 (20:18):
Correct, It stays with you the whole time, and then
the cool things are building it out so you can
match its friends too, Like I'm sure we interact with
our friends different way, Like some of my friends on
the app and we use it to roast each other
type of thing where it's like pick which Pokemon we're
most like, and we're like, ah, you kind of dumb Pokemon.
But for you, it's like you could have your friends
and you can talk about the matches too, so you
can be able to like, Okay, match with this person,
(20:38):
then you can run it through the group chat and
then see what it says about them, and then see
what your friends say about them, and you can get
have fun with that too.
Speaker 2 (20:45):
That is so fun.
Speaker 1 (20:46):
So you plan to connect at least one billion people together?
What led you to find that data?
Speaker 3 (20:53):
So that's more of a spiritual thing. So I believe
that your thoughts create your reality, and I think you
need to create an anchor. So that's more of just
like the end goal. It's like, what do we want
to do because we're trying to create connect a billion
happy couples. That means that a billion happy people. We're
eventually going to do it. And how we reach that goal,
we don't particularly know. It's just something we're shooting for
because honestly, for me, it's like, I think one of
(21:13):
the biggest positive impacts that I can personally leave is
let's say match one dating matches one couple that works
super well together, they have a great family, and it
just everyone's happy. I think that is a really big
impact a person could leave that helps future generations, especially
if we could scale that. I think that's awesome.
Speaker 1 (21:32):
So, so what is the age range that you're focusing
on or that you plan to focus on moving forward
since it is relatively new.
Speaker 3 (21:40):
Yeah, so we first tried college kids and that I mean,
that's cool because you get some cool content stuff and
people are posting about it, but they just have too
many options at the point in time. We found the
best success between. First off, we find really really good
success in niche groups, like for example, if like if
you're post divorced, Like if we had a bunch of
people who are who have dealt with divorce, I think
(22:01):
that'd be a strong place in Matchew just because you've
been in so much situation. So niche groups we crush.
General group wise, we find that twenty five to thirty
five is the best range. And the reason that's the
best range for us is they've just left college in
the workforce and you know, when you join the workforce,
like you just you just don't have Yeah, you have
no time, you don't have access to all your friends
(22:22):
and not just people walking in and out of your life.
So the dating is a more efficient way to date
and so and people are more looking for like more
long term relationships to that statement of life. Anyway, So
twenty five to thirty five right when they leave colleges.
I think that's our niche. It's like to actually get
the technology too. It's like, oh, this is cool, I
can use it. I'm already using CHATTYBT.
Speaker 2 (22:41):
Oh my god.
Speaker 1 (22:42):
Right, the technology is like unbelievable. And I like, I
just said, okay, so I'm way over that age. But
I was like, the chat chipet just came to me
and I'm like, why didn't I know about this singer?
And how amazing And just the fact that you guys
are so technology based with this AI and it's powered
and AI powered, it's pretty remarkable. I mean what I
(23:05):
mean back way back when none of this existed. So
the fact that you guys created this is amazing.
Speaker 3 (23:13):
Kudos to all of you, like as a right place,
right time where it's like we've had the idea for
a while, but there was just no way to actually
execute it that worked. But what was the prize of
chat GBT and GBT and agents really, Oh, you can
actually do this now because we were at the right
place for a while, just waiting for the right time,
the right time game, and we were able to we
were able to execute on that.
Speaker 1 (23:35):
I think you're going to be expanding for like, I
think this is going to go way beyond everything that
you ever imagine. I think you're going to go in
all different age groups. I mean just look now, look
at the Golden Bachelor. I mean, you know, at people
finding love in their sixties, seventies, eighties. I mean I
had someone on the podcast that it was like in
her you know, divorced three times in into her fourth
(23:58):
marriage and living her best life.
Speaker 3 (24:00):
Like that's cool. It's great when you see that. Actually,
it's great when you see things like I love seeing
love success stories.
Speaker 1 (24:07):
Right, and I and I have to say, like The Bachelor,
I don't want to say it, but like, you know there,
I was a television producer, so I know what it's
and I worked for Harold Rivera when we still when
we didn't do news, when we weren't covering O. J.
Simpson's trial and John Minny Ramsey's murder, when we were
doing like the I want to say, trash TV and
you know, put people in different green rooms and kind
(24:29):
of like guess them. That's what That's the way reality
TV was back then, right, So I feel like The
Bachelor is a little bit like that. But the Golden bachelor.
I feel like at that age, they're all like happy
to be, you know, finding new even if they don't
find love, they found new friends. And to find new
friends at that age is a beautiful thing too. So
I think you're going to go into several different age
(24:50):
groups eventually, and this is going to explode beyond your
one billion that you think.
Speaker 3 (24:57):
I'm like, I think it's going to explode. It's just
it's going to get that spark eventually, like the right
person's gonna find Like I start talking about. The cool
thing about our app is it has it gets the
second and order or affects me. It's so interesting and
cool and like people are talking about in the background,
and that's you're generating a bunch of matches. But yeah,
I think it's gonna expand to different age groups and
different categories, like you said, like I want it to be.
(25:17):
I think overall human relationships are important for you happiness,
not just like partner relationship, but like friends and stuff
Like I wouldn't be able to go on the app
and like, hey, find me five guys in my local
area who are into more time into meditation. So I
think it can help people that way. It can help
when we're already testing out with networking events too. It's
like like la, you go to a networking event, It's
like who's your match at the specific networking event, everyone's
(25:39):
signed up. They'll find the most compedible person, meet this
person and see how it goes. So yeah, like it's
going to expand really quickly. The dating was just like
the first point we entered, just because the dating market
is just I think it does. I think it does
need help. So that was I think dating is just
the entry point. I think we're gonna expand to all
age groups, a bunch of different verticals, but we want
to nail the matchmaking down with dating first.
Speaker 1 (26:01):
I think it's brilliant and I and I loved everything
about your your bio too, because you are this authentic
person like you you're when you set me your form,
it just everything just popped out about you that you
just like have this goodness in you And look what
you're trying to do. You're trying to connect when billion
happy couples, if not more, pretty pretty amazing. So do
(26:24):
you guys spend like your day around this, like coming
up with new ideas or or just continuing to build this.
Speaker 3 (26:34):
Yeah, So the day is pretty much like I have
a couple of copies too, So I just jump around
which wherever, whatever most excites media and a lot of
times that it is dating. So it's more of a
constant thing. Like since we're a small startup, like we're scrappy,
the team is constantly thinking about stuff. So we have
like our group chop, like we're always like does this work?
Yes or no? Now this is the idea of stupid.
Let's have this idea could work, Let's test it out.
(26:54):
And so what basically we have to do is we
have to try a bunch of things. A lot of
it fails, but as soon as something gains traction, we
have to do well.
Speaker 1 (27:00):
Down.
Speaker 3 (27:00):
The team's actually coming over today for like a in
person meet work up, in person work meet, which is
always fun because we just hang out, hike and because
when you get people in the same room thinking about
the same thing, that's when the magic happens.
Speaker 2 (27:13):
I believe it.
Speaker 1 (27:14):
I mean this is already like magic. I feel like
it's already happening. AI powered matchmaking. The dating app is
called Dating. I think everyone should go.
Speaker 2 (27:25):
On and see. So that app is the app? So
is it easy.
Speaker 1 (27:27):
Is it easy to work? Is it easy to work
for someone that's not like you know in your guys
age dreams. That's technology challenged.
Speaker 3 (27:35):
Correct. We're making it as easy as possible, and the
cool thing is it's always getting easier. So we just
search dating in the app store, down the app create,
just like putting your basic information like age, what you're
looking for, all that cool stuff like every other dating app,
And then all you have to do is chat with Cupid.
It shows you matches. You tell them what you're looking
for it and say yes or no, describe yourself a bit,
and the match pool continuously updates.
Speaker 2 (27:57):
Pretty And how do you track? How does it track?
How do you track it?
Speaker 3 (28:01):
What do you mean by tracking?
Speaker 2 (28:02):
How do you guys? How do you guys track it? Like,
how do you guys know what? Like what's working? What's
not working?
Speaker 3 (28:08):
So the cool thing is a lot of feed We
have a lot of feedback from early users and that's
where a lot of our features are coming in and
meaning like hey, I want this, I want this. The
French chat is actually a request from users, so we're
tracking it that way, we can we have all the
metrics in place, so we can see where people are
getting lost on the app, or like let's say they
don't make it to the automboarding flow where they stop.
(28:28):
So we have all those metrics in place. We can
see where people are clicking. It's like, okay, they're clicking here, Okay,
they got to the home screen. They're not quite sure
what to do. Oh they don't know to chat is
keeping And that's where you have put like a little
arrow direction type things like I'll click here for your matches,
so we're always tracking that. You can see part of
the chats like Okay, this person's just not getting it.
Why are they not getting it? And then you have
to optimize the prompt from that so like it's like, okay,
(28:51):
keep its freaking out. Why is it freaking out out?
It's freaking out because this specific thing was to ask
this thing. It doesn't know what to do with it.
Then you go back to the main AI prompt and
you adjust that and see how So that's it's like
a constant optimization thing.
Speaker 1 (29:04):
Pretty remarkable, Eric McKey, Any last minute thoughts and oh
and I have a last minute thought. What's new and
what's coming next?
Speaker 3 (29:13):
So we just implemented the group chats. So you can
ask about like you could ask about sort of people
in your chat. The cool thing is, so what we
just implemented was matches is getting better, adding new profile pictures,
group chats, friend chats, so you can not match with friends.
We just added a feature where again this is a
user request where it's like I want to match my
(29:35):
current partner, but I don't want to be shown to
the dating pool. So now you can remove yourself from
the dating pool so you're not shown. That's coming The
biggest thing, I'm oh, something that's coming up that's really
soon as image generation, So we're just about to implement that,
meaning we could ever match like and then like I
mentioned Lord of the Rings, it's like, okay, create an
image of me and Wendy and Lord of the Rings
(29:56):
that type of thing. So we're just about to implement
image generation, and then we're gonna like actual group chats
so you can all talk in one group where it's like, okay,
here's our of the four of us. I want to
share a match, I want to share a photo, I
want to share his voice note, and then you can
talk about that. So immage generation and full on group
chats are next.
Speaker 1 (30:14):
Simply amazing the first ever AI powered matchmaker called Dating.
Speaker 2 (30:19):
I wish you tons and tons of success. I know
it's going to be so successful and.
Speaker 1 (30:23):
That I think this is like wonderful what you're doing
and so creative and so inspirational too.
Speaker 2 (30:30):
Thank you so much for you to come back with
your first success story.
Speaker 3 (30:34):
Oh that'd be fun.
Speaker 1 (30:35):
And I want you to come back and tell me,
like and every stuff you make. I want you to
come back and talk to us, like come back after
you like make the next age group and all the
new things that you're doing. Because I'm a huge fan
of this. I think this is like really amazing.
Speaker 3 (30:49):
Yeah, I would definitely do that. I'd kind of funn
we bring the success story on.
Speaker 1 (30:53):
Yeah, I would love I would love it and like
their whole like from start to finish of how it
all happened.
Speaker 2 (30:57):
That would be great.
Speaker 3 (30:59):
Oh definitely, I'm going to follow you.
Speaker 2 (31:01):
I look forward to it. Thank you so much for
being here, Thanks for reaching out.
Speaker 1 (31:05):
Thank you.
Speaker 2 (31:06):
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Speaker 1 (31:06):
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