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Welcome back to AI for Founders.
I'm Ryan Estes and today we're 

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00:00:03,160 --> 00:00:06,480
hanging out with Hank Lieber 
from Stanify dot AI. 

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00:00:06,760 --> 00:00:10,120
If you've ever watched a post go
viral, then drowned under 1000 

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comments, this one's for you. 
Hank's team launched just four 

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months ago and they already 
helped brands turn the comments 

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section from wasteland to 
working capital. 

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You will learn how AI can auto 
moderate trolls without killing 

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healthy debate. 
Draft on brand replies in over 

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100 languages and keep your ads 
clean while protecting spend. 

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We break down human in the loop 
workflows, how to ride 

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algorithmic wave in real time, 
and why smart Q&A comments fuels

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answer engine optimization for 
LLMS. 

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This episode is for founders, 
CMO's, growth leads, creators, 

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and every Shopify merchant who 
lives in the Business Manager 

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refresh button. 
You care about brand voice, 

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safety, data, and conversion 
inside the comments. 

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Hank's about to hand you a 
playbook. 

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Quick hint about the newsletter.
Get the field notes in the 

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00:00:57,360 --> 00:01:01,680
frameworks in your inbox at AI 
for Founders dot Co Steal what 

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00:01:01,680 --> 00:01:04,599
works, skip what doesn't, and 
ship faster. 

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If you build in public, read in 
private first at AI for 

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00:01:08,360 --> 00:01:11,200
founders.co. 
This episode is brought to you 

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by Kick Caster. 
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or operator who needs 
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Hey, I live tonight. 
Shining stars. 

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Computer life. 
Hey, I I take the flight in the 

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glow of neon. 
Brian. 

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All right, we're rolling. 
Hank, how are you? 

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I'm doing well. 
How you doing today Ryan? 

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Doing. 
Great. 

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Thanks for coming on the show. 
I got to tell you, I've always 

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loved Hanks to Solid. 
Thank you. 

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There are a lot of them in the 
startup world, and certainly not

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in Southern California. 
Yeah, you just don't. 

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You don't get meet that many 
Jacks or Hanks. 

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It's just a great, solid 
American name. 

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Yeah, I grew up in Virginia. 
There's plenty of Hanks out 

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there. 
But here I'm I usually just say,

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hey, it's Hank, Remember Me? 
And I don't have to say my last 

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name. 
Yeah, it's great. 

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It's Hank's going to make a 
comeback, I think, from the 

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result of this podcast, if we're
lucky. 

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Nice, I'm so excited to talk to 
you. 

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You know, we connected on 
LinkedIn, which I love to do. 

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You know, there's so many bots 
on LinkedIn that when you meet 

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somebody who's who's got 
something real, it's always 

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like, oh, what's up? 
We're all here on LinkedIn for 

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some reason, so we might as well
chop it up. 

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So I'm so happy they came on the
podcast, particularly to talk 

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about your new company. 
You guys launched four months 

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ago, Stanify dot AI. 
Please give us an overview of 

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Stanify. 
Sure thing. 

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Stanify is an AI company that 
helps businesses engage with 

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their audiences in social media,
in the comments section in 

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particular, and DMS. 
But really the comments is the 

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area that's just kind of a total
wasteland. 

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We allow businesses to remove 
negative content that would be 

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in their comments automatically 
and to engage with replies and 

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work flows in the comments that 
are worth that. 

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So someone who is asking you a 
question, we can help with the 

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answer. 
If they're just putting some 

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love out there, we can send love
right back in the brand's voice 

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contextual to the post. 
We watch the video and 

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everything. 
So we're kind of like your best 

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employee that's right there all 
the time. 

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Only we can do about 1000 times 
as much as an employee can. 

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And there's two ways that we 
operate with businesses. 

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One is fully automated where we 
just run autopilot and you know,

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for like media companies have 
thousands of comments. 

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We're in there, you know, doing 
the thing most businesses like 

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to have a human in the loop. 
So we have a universal inbox 

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where our drafted replies are 
there and a human goes in and 

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sort of approves each, you know,
post, post, post edit, edit, 

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post, post, skip, skip, skip. 
And that seems to be the the way

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the business wants to work with 
AI right now. 

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The 99% of the work gets done, 
but not that key 1% of taste of.

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It yeah and it makes a lot of 
sense because you know what is a

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brand voice? 
Well, that's really hard to pin 

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down. 
We, we know what we don't want 

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it to be, which is over LLM D 
with M dashes and like talking 

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about pivots and all those like 
cliche phrases that we hear from

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GPT all the time. 
So that might mean like you're 

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probably going to be like just 
like cruising down being like 

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yes, yes, yes, yes, yes. 
And then there'll be 1 little 

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comment that you like. 
Actually, I want to go a little 

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extra on this one. 
Or you have actually a hot take 

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for that. 
You have something fun to 

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contribute. 
So that seems like it makes a 

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lot of sense. 
And then as far as like negative

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comments, that's total no 
brainer. 

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You just want to get that out as
soon as possible. 

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You know, it's like that. 
I like that. 

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I like to consider it. 
They're trolls and you never 

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feed the trolls. 
You just eliminate the trolls 

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from your life. 
Exactly and and the the 

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platforms. 
So we've been approved by Meta 

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Store on Instagram and Facebook,
brewed by YouTube, almost done 

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with TikTok. 
All of the platforms have the 

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same feature, which is called 
hide, which is to hide the 

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comment. 
And that means that the angry 

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poster doesn't even know that it
was hidden. 

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They still see it on their feed,
but no one else does. 

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A pretty elegant feature to keep
the, you know, keep the drama 

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down but still protect the feed.
And so we automatically detect 

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any number of different types of
negativity, hate speech, you 

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know, religious, violent speech,
bullying, harassment, any of 

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that with our language model and
through sentiment analysis to 

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identify it and we hide it. 
There are different settings in 

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the platform, of course, for our
app, if you want to keep dirty 

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words in there, that's fine. 
But if you really don't want to 

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have whatever the religious hate
speech and bullying and things, 

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we we remove those and escalate 
them to your team to take a look

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at what we took out for you. 
Yeah, that'd be a fun threshold.

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You know, like we're, we're 
really fond of the F word, but 

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we don't want any S words. 
Can we make sure that that's? 

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We actually do what we found 
with early customers was they 

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want a threshold of tolerance 
for things like strong language 

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to keep F bombs out, but S bombs
in and we had to figure that 

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out. 
So a little bit more on our on 

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our model. 
We're pretty deep in the AI 

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space. 
Our team has 10 years experience

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of AI and machine learning. 
So like this is not some wrapper

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ChatGPT. 
You will see companies out in 

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the world doing that right now 
this like $1020.00 a month 

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product and you get what you pay
for. 

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It's like not going to be the 
greatest quality, context, 

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relevance, specificity, all 
that. 

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And we just found just right 
there, F bombs and S bombs, 

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different and D bombs and 
whatever. 

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All these different things and 
brands each have their own 

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relationship with our audience 
and we need to make sure that we

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can cater to that like very 
easily and pretty much 

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automatically for everyone. 
And it's very nuanced, right? 

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Because if it is a brand that's 
showing up in a big way on 

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social media, obviously, like 
they got to have speak the 

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vernacular, you know? 
Yeah. 

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And turns out different. 
Our model works in every 

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language. 
So different languages in the 

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world have different nuances 
depending on the region. 

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Argentine Spanish is different 
from Mexican Spanish is 

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different from Spain Spanish, 
same with Portuguese. 

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And so and the character sets 
for a lot of these different 

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languages. 
And we've solved for all of that

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already because we're working 
with some brands that are in 180

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countries and they have a bar of
excellence that we have to 

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maintain that's like a native 
speaker in in the comments with 

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the audience. 
So we've actually done a 

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tremendous amount of work in a 
short amount of time to get to 

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that quality level. 
Yeah. 

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How many languages? 
Oh boy. 

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You know, I don't know that 
we've officially counted, but 

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it's over 100. 
We just know that, yes. 

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So when, when someone writes a 
comment on a social media post, 

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if it comes in in Japanese, 
we'll reply in Japanese 

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characters. 
If it's half English, half 

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Japanese, we'll mimic that. 
So yeah, our our model is is 

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pretty darn deep. 
That's cool. 

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Let's talk about the tech stack.
As far as AI, like what what's 

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the tech stack going into? 
Kind of the the AI you guys use.

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00:09:17,120 --> 00:09:19,760
Yeah. 
So I'll answer a similar 

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question maybe what models are 
we using? 

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And the answer is all of them 
because it depends on the 

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business. 
We're not trying to create a 

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ILLMS ChatGPT will open AI for 
ChatGPT and Google with Gemini 

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and and Elon with with with X 
and grok. 

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They're great. 
They're huge and they're really,

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really good at what they do. 
So we're trying to reinvent 

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that. 
But there are times when say 

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ChatGPT 5 point O mini is best 
for like the general population 

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of like neato or whatever, that 
kind of stuff. 

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F bombs and curse words. 
Grok is really good for that. 

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They're super, you know, deep in
the, in the lingo. 

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And then like, we have a, a 
couple of companies like the 

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medical space and product space 
that have hundreds of products. 

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We allow our users to upload 
product documents into their 

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Sanify account so that we know 
all the products, all the 

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colours, all the variations. 
Gemini's often better for that. 

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So it kind of depends on the use
case. 

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And we see the, the AI being a 
is an enabler. 

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It's kind of like Internet like 
20 years ago. 

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It's just a better way to get 
things done with business. 

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And so we're going to use a lot 
of models and when there's five 

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new ones in a few years, we'll 
use those too, because it's 

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about value more than whatever 
technology it is. 

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00:10:34,080 --> 00:10:36,120
We just want to bring the 
businesses as much value as we 

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can. 
Yeah, 100%. 

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That's that's interesting. 
X is good with swearing. 

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That makes sense. 
People really flame out over 

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there on X. 
You know, I, I always, I have 

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00:10:46,320 --> 00:10:51,400
like a, a like hate relationship
with X, you know, every couple 

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00:10:51,400 --> 00:10:53,520
of months I'm like, man, I just 
got to be more involved over 

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there. 
And I go over there, I'm just 

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00:10:54,480 --> 00:10:57,120
like, Oh my God, it's just 
everyone's sniping at each other

228
00:10:57,440 --> 00:10:59,320
now. 
It did get significantly better 

229
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when they kind of have a for you
page where they're just like 

230
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they, they take all the like 
the, the kind of founder or 

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00:11:06,800 --> 00:11:09,680
founder, the, the building 
public people all have kind of 

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like a big thing going on, you 
know, hustle and grind culture. 

233
00:11:14,200 --> 00:11:16,320
And I'll chime in every once in 
a while over there, but. 

234
00:11:17,040 --> 00:11:19,800
It's also interesting that that 
Elon is open source. 

235
00:11:19,800 --> 00:11:23,280
The algorithm, it's really 
important move for him who is, 

236
00:11:23,520 --> 00:11:26,160
you know, claiming to be a big 
free speech guy is like not only

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00:11:26,160 --> 00:11:29,080
free speech, but go ahead and 
see what we're choosing to show 

238
00:11:29,080 --> 00:11:30,440
you and how, and then you can 
tune it. 

239
00:11:30,640 --> 00:11:33,000
So that's new. 
That's only a few days or maybe 

240
00:11:33,000 --> 00:11:34,480
a week or two old. 
So it's going to be really 

241
00:11:34,480 --> 00:11:37,000
interesting to see what other 
platforms do in response. 

242
00:11:37,000 --> 00:11:40,200
Because he got black box with 
everybody else as they addict 

243
00:11:40,200 --> 00:11:43,560
you to more and more polarizing 
content that activates you. 

244
00:11:43,560 --> 00:11:45,880
I don't know, like that's one 
way to think of how the 

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00:11:45,880 --> 00:11:48,040
algorithms work. 
But he's open sourcing it, which

246
00:11:48,040 --> 00:11:51,400
I think is a really interesting 
play in today's culture. 

247
00:11:51,400 --> 00:11:54,040
Well, wasn't that a reaction to 
because because of Trump 

248
00:11:54,040 --> 00:11:57,160
approving the sale of TikTok and
basically saying that like he's 

249
00:11:57,160 --> 00:12:00,440
going to have control of the 
TikTok algorithm, so that it's 

250
00:12:00,440 --> 00:12:04,360
skews conservative, I guess, you
know? 

251
00:12:05,200 --> 00:12:06,000
It's. 
Crazy. 

252
00:12:07,200 --> 00:12:10,480
OK, everyone loves to talk about
vision, the pitch, the funding 

253
00:12:10,480 --> 00:12:12,280
round. 
But you know what gets 0 love? 

254
00:12:12,280 --> 00:12:16,240
The actual product build. 
That magical, terrifying phase 

255
00:12:16,240 --> 00:12:19,200
where nothing works, the docs 
are out of date, and you've 

256
00:12:19,200 --> 00:12:21,080
asked your dev team how's it 
going? 

257
00:12:21,160 --> 00:12:24,800
For the 47th time today on 
Slack, That's where Code Story 

258
00:12:24,800 --> 00:12:26,840
comes in. 
It's a podcast for start up 

259
00:12:26,840 --> 00:12:29,400
founders who know that building 
The thing is the thing. 

260
00:12:29,800 --> 00:12:33,120
Hosted by NOAA Labheart, Code 
Story goes deep with tech 

261
00:12:33,120 --> 00:12:35,760
leaders who've been through it, 
shipping real products, 

262
00:12:35,880 --> 00:12:39,040
surviving messy launches, and 
figuring out what actually 

263
00:12:39,040 --> 00:12:41,040
works. 
And when you're on the edge of 

264
00:12:41,040 --> 00:12:43,480
chaos. 
If you're building now or ever 

265
00:12:43,480 --> 00:12:46,640
plan to, you'll want these 
stories in your ear balls. 

266
00:12:47,320 --> 00:12:50,000
Search code story wherever you 
get your podcasts. 

267
00:12:50,000 --> 00:12:53,480
Or visit codestory.co. 
Because founders talk vision. 

268
00:12:53,480 --> 00:12:56,200
But builders, Builders tell code
stories. 

269
00:12:57,400 --> 00:13:00,680
Okay, I've got a confession. 
As a podcaster and founder, I'm 

270
00:13:00,680 --> 00:13:03,680
constantly meeting incredible 
people, guests, listeners, or 

271
00:13:03,680 --> 00:13:06,400
other entrepreneurs. 
But here's my little secret. 

272
00:13:06,520 --> 00:13:09,640
I'm terrible at following up. 
My inbox is basically a 

273
00:13:09,640 --> 00:13:11,440
graveyard of missed 
opportunities. 

274
00:13:11,520 --> 00:13:14,120
Does that sound like you? 
You meet someone amazing, 

275
00:13:14,120 --> 00:13:17,000
exchange emails, have great 
intentions, and then life 

276
00:13:17,000 --> 00:13:19,080
happens. 
Six months later, you're kicking

277
00:13:19,080 --> 00:13:21,080
yourself thinking I should have 
stayed in touch with that 

278
00:13:21,080 --> 00:13:23,320
person. 
This is exactly why I started 

279
00:13:23,320 --> 00:13:26,920
using Warm Start dot AI and 
honestly, it's transformed how I

280
00:13:26,920 --> 00:13:29,920
think about my network. 
Instead of letting relationships

281
00:13:29,920 --> 00:13:34,280
go cold, Warm Start analyzes my 
existing contacts and helps me 

282
00:13:34,280 --> 00:13:37,120
identify who I should be 
reaching out to and why. 

283
00:13:37,440 --> 00:13:39,520
It even writes the outreach 
messages for me. 

284
00:13:39,600 --> 00:13:42,560
But here's the key. 
I review everything before it 

285
00:13:42,560 --> 00:13:44,600
goes out. 
I'm not just talking about this 

286
00:13:44,600 --> 00:13:47,040
because they're a sponsor. 
I'm talking about it because 

287
00:13:47,040 --> 00:13:49,920
watching a healthcare executive 
use this to build his entire 

288
00:13:49,920 --> 00:13:53,560
Advisory Board in one weekend 
with four CEO sign ups made me 

289
00:13:53,560 --> 00:13:56,960
realize I was leaving money on 
the table every single day. 

290
00:13:57,480 --> 00:14:01,040
Your network is your net worth, 
but only if you actually nurture

291
00:14:01,040 --> 00:14:03,520
it. 
Check out warm start dot AI. 

292
00:14:03,680 --> 00:14:07,840
Use code AI IFF to get 50 bucks 
off your first month. 

293
00:14:08,120 --> 00:14:11,240
Stop letting your relationships 
turn into miss revenue. 

294
00:14:12,040 --> 00:14:14,520
I mean you know not to. 
This is obviously not a 

295
00:14:14,520 --> 00:14:16,200
political show but it is 
interesting. 

296
00:14:16,200 --> 00:14:17,800
Like the liberal and 
conservatives. 

297
00:14:17,800 --> 00:14:22,480
I'm like, are you guys are is 
any of this make any sense 

298
00:14:22,480 --> 00:14:25,280
anymore? 
The thing I like about it, 

299
00:14:25,280 --> 00:14:27,680
again, not not political because
it's across the board, 

300
00:14:27,920 --> 00:14:30,920
independent journalism, 
independent media channels, Joe 

301
00:14:30,920 --> 00:14:33,000
Rogan and these kind of things, 
Tucker Carlson, whatever. 

302
00:14:33,240 --> 00:14:37,280
Millions and millions of viewers
on one singular way to deliver a

303
00:14:37,280 --> 00:14:41,120
viewpoint, which is not like 
mega mainstream media, which is 

304
00:14:41,120 --> 00:14:43,320
how it's been for 200 years or 
whatever. 

305
00:14:43,400 --> 00:14:46,280
It's just a really fascinating 
time to be thinking about ideas,

306
00:14:46,280 --> 00:14:48,720
communication. 
And we're kind of in that too. 

307
00:14:48,720 --> 00:14:52,520
Is Santa Fe where for a brand 
that wants to talk to 100,000 of

308
00:14:52,520 --> 00:14:55,040
its customers personally, we do 
that. 

309
00:14:55,040 --> 00:14:57,920
We have brand brands on right 
now that do 100,000 a month. 

310
00:14:58,200 --> 00:15:01,040
We're, we're doing 100,000 
interactions a month and they, 

311
00:15:01,080 --> 00:15:03,520
there's no way they could do 
that without costing them a 

312
00:15:03,520 --> 00:15:05,600
horrendous amount of money for 
human teams. 

313
00:15:05,880 --> 00:15:08,000
And the humans are really happy 
with the results and they can 

314
00:15:08,000 --> 00:15:10,840
spend more of their time on more
strategic things to do with the 

315
00:15:10,840 --> 00:15:12,520
data that we have from the 
interactions. 

316
00:15:12,520 --> 00:15:15,920
So actually we're more of a data
company and that way than an AI 

317
00:15:15,920 --> 00:15:18,520
company. 
Yeah, like AI is the means to an

318
00:15:18,520 --> 00:15:21,040
end, which is to get you more 
data insights, to be more 

319
00:15:21,040 --> 00:15:22,440
strategic with your business 
100. 

320
00:15:22,440 --> 00:15:25,400
Percent, you know, in you guys 
are like an interesting bridge, 

321
00:15:25,720 --> 00:15:28,840
you know, because now we have 
all these AI tools. 

322
00:15:28,840 --> 00:15:32,120
Stanify is awesome because it 
can it can kind of heal some of 

323
00:15:32,120 --> 00:15:34,840
the the damaging aspects of 
social media. 

324
00:15:35,280 --> 00:15:39,440
Social media is basically almost
like a like AI don't know a 

325
00:15:39,440 --> 00:15:42,320
right or something and and 
really technology kind of 

326
00:15:42,320 --> 00:15:45,920
plateaued. 
It was like 2017, 2018. 

327
00:15:45,920 --> 00:15:49,080
Is there anything really 
electric or energizing or any 

328
00:15:49,080 --> 00:15:52,240
big IP OS any ways to like kind 
of capitalize on this? 

329
00:15:52,240 --> 00:15:55,560
Or is it really just you know, 
you know, all of your fan 

330
00:15:55,560 --> 00:15:58,440
companies are just like moving 
more and more into dominance. 

331
00:15:58,440 --> 00:16:01,760
Well, boom, you know, GPT 
launches and then we have this 

332
00:16:01,760 --> 00:16:05,600
whole new layer of technology to
get excited about that can like,

333
00:16:06,040 --> 00:16:10,000
you know, improve on what we've 
got already and creative a lot 

334
00:16:10,000 --> 00:16:13,640
of like lateral movements and 
create a lot of like, well, in 

335
00:16:13,640 --> 00:16:17,240
this case, like editorial 
oversight, which is super 

336
00:16:17,240 --> 00:16:19,800
important, you know, because 
like he, like you're saying that

337
00:16:19,800 --> 00:16:23,440
the, the algorithms have gotten 
so good, you know, particularly 

338
00:16:23,440 --> 00:16:26,600
TikTok, you know, and Instagram 
for that matter. 

339
00:16:26,680 --> 00:16:29,120
I mean, Instagram, I can't even 
go to the feed anymore. 

340
00:16:29,120 --> 00:16:32,360
It just feeds me like the most 
beautiful women I've ever seen 

341
00:16:32,360 --> 00:16:35,160
in my life, you know, doing 
squats and stuff. 

342
00:16:35,280 --> 00:16:38,320
And I can't help but like watch 
it for 10 seconds and then 

343
00:16:38,560 --> 00:16:41,280
that's all I get in my feed, you
know, so. 

344
00:16:41,600 --> 00:16:43,640
Just wait another couple of 
months and none of those women 

345
00:16:43,640 --> 00:16:46,880
will be real anymore because why
bother with real humans who have

346
00:16:46,880 --> 00:16:49,880
like emotions and like, you 
know, a job, like have to eat 

347
00:16:49,880 --> 00:16:51,720
dinner and sleep don't need that
anymore. 

348
00:16:51,720 --> 00:16:54,760
So that's actually a whole other
area of our business is the AI 

349
00:16:54,760 --> 00:16:57,800
and virtual creator space. 
They're, you know, entire 

350
00:16:57,800 --> 00:16:59,560
agencies that have all these 
that they're building up with 

351
00:16:59,560 --> 00:17:02,120
hundreds of thousands of 
followers posts and tons of 

352
00:17:02,120 --> 00:17:04,160
comments. 
And there's not a lot of 

353
00:17:04,160 --> 00:17:07,280
interaction in the comments 
because those those aren't real.

354
00:17:07,520 --> 00:17:10,200
So we're in a position to be 
able to power that entire 

355
00:17:10,200 --> 00:17:14,839
economy of virtual creators, 
kind of like 11 Labs is powering

356
00:17:14,839 --> 00:17:19,720
the the audible economy of, you 
know, voice to text to voice. 

357
00:17:20,119 --> 00:17:24,440
Ours is the text version of 
written communications for these

358
00:17:24,440 --> 00:17:26,680
entities, which is exciting to 
think about. 

359
00:17:26,880 --> 00:17:28,600
Scary, but, you know, also 
exciting. 

360
00:17:28,600 --> 00:17:32,240
It's super exciting because also
like, you know, what's great 

361
00:17:32,240 --> 00:17:35,960
about social media in the 
beginning, let's say, is that it

362
00:17:35,960 --> 00:17:39,280
was a chronological, 
chronological feed of like who 

363
00:17:39,280 --> 00:17:41,960
you wanted to follow. 
And so you're like, OK, cool, 

364
00:17:41,960 --> 00:17:43,400
you have the opportunity to opt 
in. 

365
00:17:43,400 --> 00:17:46,240
Well, now I don't have the 
opportunity to opt out of like 

366
00:17:46,240 --> 00:17:49,960
every hot chick on Instagram. 
So I don't even go there because

367
00:17:49,960 --> 00:17:52,320
it's just embarrassing. 
You know, it's like, dude, you 

368
00:17:52,320 --> 00:17:55,240
know what I want to see? 
I want to see a classic NFL 

369
00:17:55,240 --> 00:17:59,480
clips and and you know, 
highlights of dunks and stuff 

370
00:17:59,480 --> 00:18:00,920
like that's what I'm looking 
for. 

371
00:18:01,240 --> 00:18:04,080
But if you put these beautiful 
women in the eye, of course I'm 

372
00:18:04,080 --> 00:18:06,000
going to hover on it. 
So then you just keep it into 

373
00:18:06,000 --> 00:18:07,880
me. 
So if if this is the trend that 

374
00:18:07,880 --> 00:18:09,960
we're going to have some kind of
customizable algorithm, it's 

375
00:18:09,960 --> 00:18:14,440
best for everybody because I can
say, of course, biologically I'm

376
00:18:14,440 --> 00:18:17,440
going to look at the pretty 
girls, but like I want to be 

377
00:18:17,440 --> 00:18:20,400
able to filter away from that. 
I'm not just a monkey here. 

378
00:18:20,400 --> 00:18:22,800
I'm a man with making decisions 
so. 

379
00:18:24,360 --> 00:18:27,960
And you know, the Gary Vee is 
talking about this a lot right 

380
00:18:27,960 --> 00:18:30,400
now. 
We're at the end of the follower

381
00:18:30,800 --> 00:18:33,720
sort of era of social media 
where you you post to your 

382
00:18:33,720 --> 00:18:35,040
followers. 
And if you have millions of 

383
00:18:35,040 --> 00:18:37,360
followers, you get a lot of 
views and that's fine. 

384
00:18:37,400 --> 00:18:40,040
But that's that's really 
shifting over to the algorithmic

385
00:18:40,520 --> 00:18:45,880
sort of viral virality based 
media in social, which is like 

386
00:18:45,880 --> 00:18:49,280
the TikTok for you page really 
pioneered it as a brand new 

387
00:18:49,280 --> 00:18:53,560
account with no followers by way
of micromanaging and and 

388
00:18:53,560 --> 00:18:55,880
watching view time. 
They'll put it out to more and 

389
00:18:55,880 --> 00:18:57,440
more people. 
You go viral immediately. 

390
00:18:57,520 --> 00:19:01,000
So now you see a lot of really 
forward facing media companies 

391
00:19:01,680 --> 00:19:03,600
doing what are they calling it? 
What's it called? 

392
00:19:05,160 --> 00:19:08,960
Clip clip farming, where they'll
put out like hundreds of clips 

393
00:19:08,960 --> 00:19:12,080
onto TikTok and let the Agra 
choose the winner. 

394
00:19:12,080 --> 00:19:13,360
And that's how you get your 
viewership. 

395
00:19:13,480 --> 00:19:15,160
Not with millions of audience 
anymore. 

396
00:19:15,160 --> 00:19:18,040
And so if that's the case, it's 
all the more important for 

397
00:19:18,040 --> 00:19:21,040
brands to have an active 
relationship with their 

398
00:19:21,520 --> 00:19:25,560
consumers online in any post in 
case it goes viral, because this

399
00:19:25,560 --> 00:19:28,320
whole like we have millions of 
followers that's going away. 

400
00:19:28,320 --> 00:19:30,120
There's a whole new world now 
where you have to be ultra 

401
00:19:30,120 --> 00:19:32,840
relevant right now. 
And we see that as a great place

402
00:19:32,840 --> 00:19:35,800
for us to be helping solve its 
scale in the in the comments 

403
00:19:35,800 --> 00:19:37,760
sections. 
Yeah, 100%. 

404
00:19:38,200 --> 00:19:40,680
Well, and then it's it's almost 
counterintuitive though, right, 

405
00:19:40,680 --> 00:19:43,680
Because I mean you have 
enterprise type customers that 

406
00:19:43,680 --> 00:19:45,720
are accustomed to having large 
audiences. 

407
00:19:45,720 --> 00:19:48,320
If that goes away, what does 
that do to the business model? 

408
00:19:49,320 --> 00:19:53,960
They will have to get in the 
game of catching viral hits and 

409
00:19:53,960 --> 00:19:55,600
putting out tik toks every 10 
minutes. 

410
00:19:55,880 --> 00:19:58,280
They just have to. 
I mean literally Gary Vee says 

411
00:19:58,280 --> 00:20:01,120
it way smarter than I can. 
Like you need to be doing this. 

412
00:20:01,120 --> 00:20:04,040
You need like I think he said 
something like Tiffany as an 

413
00:20:04,040 --> 00:20:06,040
example should have like 6 
different. 

414
00:20:06,400 --> 00:20:11,320
Channels that are like Tiffany 
Raw, Tiffany, you know, Bougie 

415
00:20:11,320 --> 00:20:14,400
Tiffany foreign, like Tiffany, 
whatever, and just like 

416
00:20:14,400 --> 00:20:17,400
literally just throw so much 
content out that the ones that 

417
00:20:17,400 --> 00:20:19,600
don't catch, they're never seen 
so it doesn't matter. 

418
00:20:19,600 --> 00:20:21,640
But the ones that do or that's 
how you really resonate with 

419
00:20:21,640 --> 00:20:24,200
audiences. 
Regardless of any of that, for 

420
00:20:24,200 --> 00:20:26,880
us, and we've seen this first 
hand with our brand partners, 

421
00:20:27,240 --> 00:20:30,560
when a post does go viral, you 
get thousands of comments in 

422
00:20:30,560 --> 00:20:33,760
like the first hour. 
And it's a, it's nearly 

423
00:20:33,760 --> 00:20:35,680
impossible for humans to handle 
that load. 

424
00:20:35,840 --> 00:20:38,600
We handle it with no problem. 
In fact, we've engineered how 

425
00:20:38,600 --> 00:20:43,200
to, how to schedule those out. 
So it's not 1000 comments in a 

426
00:20:43,200 --> 00:20:47,560
minute, but we can we can hang 
with viral posts and get the 

427
00:20:48,040 --> 00:20:52,320
intent based audiences further 
down the funnel by way of 

428
00:20:52,320 --> 00:20:54,320
answering the questions that 
they have that might be useful 

429
00:20:54,320 --> 00:20:56,800
to a sale or to, you know, 
whatever next step to the brand 

430
00:20:56,800 --> 00:20:58,800
wants. 
Well, it's really exciting when 

431
00:20:58,800 --> 00:21:02,000
some pops like that, you know, 
like when you get something that

432
00:21:02,000 --> 00:21:05,320
goes viral, man, it's, it's 
like, oh, there we go. 

433
00:21:05,720 --> 00:21:07,760
Where's this going to end up? 
It's it's really cool. 

434
00:21:07,760 --> 00:21:10,920
And then it's also equally 
depressing when your next post 

435
00:21:10,920 --> 00:21:13,840
does nothing. 
Well, that and it's also we 

436
00:21:13,840 --> 00:21:17,000
found with current customers, 
it's depressing when you missed 

437
00:21:17,000 --> 00:21:19,840
one, they've asked us things 
like we had a viral hit like a 

438
00:21:19,840 --> 00:21:21,920
month ago, hit like a million 
bajillion, whatever. 

439
00:21:21,920 --> 00:21:24,000
Can you go back there and like 
engage with those people now? 

440
00:21:24,280 --> 00:21:28,360
And the answer is yes, we can go
back into old posts and engage, 

441
00:21:28,360 --> 00:21:31,920
but the moment is, is gone. 
And the, the real moment, 

442
00:21:31,920 --> 00:21:34,840
especially for the algo and for 
the humans is like in that 

443
00:21:34,840 --> 00:21:38,120
moment, be engaging. 
So we, you know, when a viral 

444
00:21:38,120 --> 00:21:41,680
post happens, most brands are 
not, they miss equipped to 

445
00:21:41,680 --> 00:21:44,160
handle, yeah, they miss most of 
the value in it. 

446
00:21:44,160 --> 00:21:46,880
And we're right there being able
to solve for that, which is 

447
00:21:46,880 --> 00:21:48,920
exciting. 
It's interesting, like the, the 

448
00:21:48,920 --> 00:21:52,320
virality on, on the algorithm is
a lot like surfing, like you 

449
00:21:52,320 --> 00:21:56,400
have to be on the wave, you 
know, and if you miss it by four

450
00:21:56,400 --> 00:21:59,480
or five hours, you might have 
just like, you know, by two 

451
00:21:59,480 --> 00:22:02,640
orders of magnitude reduced your
ability for reach. 

452
00:22:02,640 --> 00:22:04,920
So whereas if you're hitting it 
and you're commenting and all 

453
00:22:04,920 --> 00:22:07,840
those comments stack up and the 
plays get longer, people are in 

454
00:22:07,840 --> 00:22:10,120
the comments, reading the 
comments and their reactions 

455
00:22:10,400 --> 00:22:12,880
like, then it's just like 
really, really gets much, much 

456
00:22:12,880 --> 00:22:16,760
bigger. 
So yes, and there's the wave 

457
00:22:17,560 --> 00:22:20,360
metaphor for good. 
Catch that awesome wave and ride

458
00:22:20,360 --> 00:22:21,240
it. 
And then there's the wave 

459
00:22:21,240 --> 00:22:24,000
metaphor for bad, I don't know 
what the sharks or something. 

460
00:22:24,240 --> 00:22:27,680
When a post can go viral for bad
reasons, you know, you can have 

461
00:22:27,680 --> 00:22:30,760
a lot of people really angry and
it gets spread like crazy. 

462
00:22:30,760 --> 00:22:33,120
In fact, that spreads faster in 
some studies than the good 

463
00:22:33,120 --> 00:22:34,920
stuff. 
We're there for protection. 

464
00:22:35,480 --> 00:22:38,400
You know, we, we keep the, the 
real, the real negative stuff 

465
00:22:38,400 --> 00:22:42,480
out of that equation so that it 
doesn't catch the wrong kind of 

466
00:22:42,480 --> 00:22:45,160
fire as it's going up. 
And we're not into like, this 

467
00:22:45,160 --> 00:22:48,680
isn't like a censorship thing. 
This is a brand owns an audience

468
00:22:48,960 --> 00:22:52,000
and reserves the right to 
control the conversation on 

469
00:22:52,000 --> 00:22:53,440
their page. 
That's what we're doing. 

470
00:22:53,440 --> 00:22:55,120
It's not an algo thing. 
It's not any of that. 

471
00:22:55,120 --> 00:22:57,680
And in fact, we've had 
conversations with Meta about 

472
00:22:57,680 --> 00:22:59,640
this very specifically. 
They really like what we're 

473
00:22:59,640 --> 00:23:02,800
doing because they can't as a 
platform be in those kind of 

474
00:23:02,800 --> 00:23:05,920
conversations on the brand pages
for Facebook, Instagram and the 

475
00:23:05,920 --> 00:23:07,480
rest. 
It's not their purview. 

476
00:23:07,880 --> 00:23:10,680
We are doing something that they
see is very valuable to the 

477
00:23:10,680 --> 00:23:13,080
platform, to the brands and 
helping with a problem that's 

478
00:23:13,080 --> 00:23:16,120
been around for all of social 
media history. 

479
00:23:16,360 --> 00:23:18,960
Brands are not engaging with 
their comments enough. 

480
00:23:19,400 --> 00:23:21,880
And so, yeah, we're, we're 
excited to have the support of 

481
00:23:21,880 --> 00:23:24,680
the platforms, not just their 
approval of the app or whatever.

482
00:23:25,040 --> 00:23:27,360
And shout out to the ability to 
just get rid of negative 

483
00:23:27,360 --> 00:23:29,760
comments because there's only so
much negative comments you can 

484
00:23:30,160 --> 00:23:33,880
you can muster. 
So I, I got a first hand 

485
00:23:34,200 --> 00:23:37,440
knowledge about this. 
I, I actually started Denver's 

486
00:23:37,440 --> 00:23:39,720
first social media marketing 
agency. 

487
00:23:40,120 --> 00:23:42,400
This was like, this is before 
Instagram. 

488
00:23:42,400 --> 00:23:45,600
This is before Facebook manager.
This is like Myspace era. 

489
00:23:46,760 --> 00:23:49,440
And at the time, you know, 
they're just rolling out like 

490
00:23:49,440 --> 00:23:51,080
tripadvisors and stuff like 
that. 

491
00:23:51,080 --> 00:23:53,040
I'm not going to mention the 
name of the company, but it was 

492
00:23:53,040 --> 00:23:58,960
a a Colorado mountain resort ski
resort and it did not have air 

493
00:23:58,960 --> 00:24:01,880
conditioning in the summer and 
the windows didn't open. 

494
00:24:02,040 --> 00:24:08,080
So people would make comments on
the heat, they'd make comments 

495
00:24:08,080 --> 00:24:13,000
on the smell, they'd make 
comments on, on the, the food 

496
00:24:13,000 --> 00:24:14,680
and how much, how much they 
disliked it. 

497
00:24:14,680 --> 00:24:19,040
And I mean, the, IT would be 
like 15 or 20, which isn't that 

498
00:24:19,040 --> 00:24:22,840
much, but it was enough 15 or 20
negative comments a day that you

499
00:24:22,840 --> 00:24:27,360
were required to respond, you 
know, And so I had the, the, the

500
00:24:27,360 --> 00:24:32,200
gal that was working for me, I 
had about 3540 custom, depending

501
00:24:32,200 --> 00:24:37,200
on the, depending on the 
objection, if it was smell and 

502
00:24:37,200 --> 00:24:39,760
food, be like, Oh, cool, we have
your prepared response here. 

503
00:24:39,760 --> 00:24:41,880
Just copy and paste. 
Boom, boom, boom, boom. 

504
00:24:42,040 --> 00:24:43,600
But you know, that was like 2 
hours a day. 

505
00:24:43,600 --> 00:24:45,440
So, and it was also a slog, 
right? 

506
00:24:45,440 --> 00:24:47,640
I had to assign that task to 
three or four different people 

507
00:24:47,640 --> 00:24:49,600
because after it doesn't matter 
how much you pay and you're 

508
00:24:49,600 --> 00:24:52,320
like, dude, I did not want to 
hear this, these comments 

509
00:24:52,320 --> 00:24:55,440
anymore. 
It's so bad, you know, So to be 

510
00:24:55,440 --> 00:24:58,400
able to do that and just have 
your threshold and negativity 

511
00:24:58,400 --> 00:25:00,520
and be like, anything beyond 
this, dude, just get it out of 

512
00:25:00,520 --> 00:25:01,640
here. 
I don't even want to see it, you

513
00:25:01,640 --> 00:25:03,440
know? 
So a couple of things there. 

514
00:25:03,440 --> 00:25:05,680
If that was before Instagram, 
that must have been 15 years 

515
00:25:05,680 --> 00:25:07,560
ago. 
And I'll tell you again, from 

516
00:25:07,560 --> 00:25:10,960
first hand experience with our 
customers, the same processes 

517
00:25:10,960 --> 00:25:13,480
are in place with many 
businesses who have like their 

518
00:25:13,560 --> 00:25:17,360
Excel sheet of like Q&A and they
just copy pasted over for the 

519
00:25:17,360 --> 00:25:20,680
same 20 questions over and over.
What we did then is we put up 

520
00:25:20,680 --> 00:25:24,800
feature in our product to allow 
them to upload that to us and 

521
00:25:24,800 --> 00:25:27,600
then we read any document you 
send in, Pete, we get PDFs, we 

522
00:25:27,600 --> 00:25:30,200
get word docs, text docs, you 
know, Excel. 

523
00:25:30,400 --> 00:25:33,000
And then we just take that in 
and we know the Q's and the A's 

524
00:25:33,000 --> 00:25:35,920
and then we answer them. 
So it literally automatic and 

525
00:25:35,920 --> 00:25:39,320
and we vary the answers. 
That's not the same robotic bot 

526
00:25:39,320 --> 00:25:41,600
style response. 
We make them interesting and 

527
00:25:41,600 --> 00:25:44,000
relevant to the style the person
brought in when they asked a 

528
00:25:44,000 --> 00:25:45,760
question, did they put an emoji?
We'll put an emoji. 

529
00:25:46,080 --> 00:25:49,200
So that's one thing is it's 
still the same today as it was 

530
00:25:49,200 --> 00:25:53,200
15 years ago to most businesses.
And #2 just so it's clear, we 

531
00:25:53,200 --> 00:25:56,680
don't just remove negativity and
throw it away to try and 

532
00:25:56,680 --> 00:25:59,480
sanitize everything. 
We escalate the negative 

533
00:25:59,480 --> 00:26:03,000
comments over to the teams of 
our, you know, our customers so 

534
00:26:03,000 --> 00:26:07,440
that they can reply back in 
appropriate ways, whether on the

535
00:26:07,440 --> 00:26:11,440
comment publicly or through Adm.
And again, we can automate all 

536
00:26:11,440 --> 00:26:14,280
that as well, but we want it to 
be that there's coverage and 

537
00:26:14,280 --> 00:26:17,080
handling, not just removing and 
pushing away. 

538
00:26:17,280 --> 00:26:20,600
You know this is about improving
all customer experiences, not 

539
00:26:20,600 --> 00:26:23,600
just the positive ones. 
Yeah, it's an interesting line, 

540
00:26:23,600 --> 00:26:27,360
right? 
Because if people need to be 

541
00:26:27,360 --> 00:26:31,640
heard and even if they're 
belligerent, you know, it's 

542
00:26:31,640 --> 00:26:34,080
maybe the kind of the charming 
thing about Reddit is somebody 

543
00:26:34,080 --> 00:26:36,120
will say something really mean 
and they'll be like, hey, man, 

544
00:26:36,120 --> 00:26:38,400
that kind of hurt my feelings. 
And they're like, sorry, I had a

545
00:26:38,400 --> 00:26:40,240
rough day. 
You know, I feel like when you 

546
00:26:40,240 --> 00:26:42,800
have this like growth 
opportunity in the comments 

547
00:26:42,800 --> 00:26:44,200
section, it's kind of a 
beautiful thing. 

548
00:26:45,160 --> 00:26:48,600
You know, we've got, again, 
we've got customers who like 

549
00:26:48,720 --> 00:26:51,120
spirited debate in their 
comments sections. 

550
00:26:51,120 --> 00:26:54,160
They want to start some 
arguments, conversations, you 

551
00:26:54,160 --> 00:26:57,320
know, back and forth. 
And we are our model can see 

552
00:26:57,320 --> 00:27:00,520
when it's not inappropriate 
negativity, it can just be 

553
00:27:00,520 --> 00:27:02,080
jousting and whatever that's 
fine. 

554
00:27:02,080 --> 00:27:04,000
And we have fully had the 
ability to leave that out there,

555
00:27:04,000 --> 00:27:06,560
which is a very important part 
of social discourse. 

556
00:27:06,840 --> 00:27:09,840
As we've, you know, seen here 
how important it is to 

557
00:27:09,840 --> 00:27:12,320
communicate with each other by 
different ideas. 

558
00:27:12,320 --> 00:27:16,280
And so again, we're we're, it's 
nice that we're able to bring 

559
00:27:16,280 --> 00:27:19,080
that level of service and not 
just be removing all of the time

560
00:27:19,080 --> 00:27:22,400
and over sanitizing what's a 
really important part of social,

561
00:27:22,520 --> 00:27:26,000
like the social part of people 
interacting with each other, not

562
00:27:26,000 --> 00:27:28,400
just reading an ad on your 
Instagram or whatever. 

563
00:27:28,400 --> 00:27:31,840
Yeah, You know, it seems like a 
lot of brands, big brands 

564
00:27:31,840 --> 00:27:34,560
especially, are clamoring for, I
guess what are they calling it 

565
00:27:34,560 --> 00:27:35,840
now? 
AEO? 

566
00:27:36,280 --> 00:27:39,720
So it's like answer engine 
optimization, which is to say, 

567
00:27:39,720 --> 00:27:45,400
if someone goes to GPT and says 
what's the best soda? 

568
00:27:45,400 --> 00:27:48,000
And they're like, oh, you know, 
Coca Cola's the best soda in the

569
00:27:48,000 --> 00:27:52,760
world, obviously. 
So is there any evidence that 

570
00:27:52,840 --> 00:27:57,640
the the general, the the social 
media platforms, and the 

571
00:27:57,640 --> 00:28:01,560
comments section are being used 
as training data by LLMS that 

572
00:28:01,560 --> 00:28:07,360
might help optimize AEO? 
Yes, big yes. 

573
00:28:07,360 --> 00:28:09,640
And so that's like that's, I 
don't want to call it secret 

574
00:28:09,640 --> 00:28:12,200
sauce, but let's not tell around
too much beyond this podcast. 

575
00:28:12,240 --> 00:28:16,200
Yes, it's a it's a really 
important source for delivering 

576
00:28:16,240 --> 00:28:18,480
high quality answers back to 
those questions. 

577
00:28:18,760 --> 00:28:22,800
The search engine model and page
ranking of Google is so archaic 

578
00:28:22,800 --> 00:28:25,680
now compared to what these 
language models can do, which is

579
00:28:25,680 --> 00:28:28,640
to go canvas the Internet and 
where the highest quality 

580
00:28:28,640 --> 00:28:31,800
answers often are are in the 
back and forth Q&A's on these 

581
00:28:31,800 --> 00:28:34,480
social platforms. 
Reddit is a great one and the 

582
00:28:34,480 --> 00:28:37,360
other social platforms. 
So what we're doing is 

583
00:28:37,360 --> 00:28:40,920
essentially feeding that 
information machine in a good 

584
00:28:40,920 --> 00:28:43,800
way for the for the brands to be
able to have the questions and 

585
00:28:43,800 --> 00:28:46,400
answers out there for those 
models to take in. 

586
00:28:46,400 --> 00:28:49,000
And I think we're just at the 
first couple innings of that 

587
00:28:49,000 --> 00:28:52,280
being the transition away from 
the Page Rank search engine 

588
00:28:52,280 --> 00:28:55,880
model that Google has printed 
trillions of dollars of past 20 

589
00:28:55,880 --> 00:28:59,360
years on, You know, wild. 
Well, the, the, the kind of 

590
00:28:59,840 --> 00:29:02,400
e-commerce model is completely 
flipped up too now. 

591
00:29:02,640 --> 00:29:06,440
I think it was yesterday that 
Open AI said that they're going 

592
00:29:06,440 --> 00:29:09,760
to, they're going to test with 
Etsy and about a million Spotify

593
00:29:09,760 --> 00:29:11,480
accounts. 
But when it's giving 

594
00:29:11,480 --> 00:29:14,720
recommendations, it's going to 
send, it's going to create the 

595
00:29:14,720 --> 00:29:18,000
whole e-commerce experience 
through GPT, but do all 

596
00:29:18,000 --> 00:29:19,760
fulfilment through the Shopify 
stores. 

597
00:29:19,760 --> 00:29:23,040
So that what that means is as 
the merchant, I'm controlling 

598
00:29:23,120 --> 00:29:26,600
the customer experience and I'm 
retaining all the customer data.

599
00:29:26,960 --> 00:29:30,480
So with Google or Amazon, you 
know, you just go into their 

600
00:29:30,480 --> 00:29:33,000
ecosystem and it's Amazon's 
customer. 

601
00:29:33,320 --> 00:29:35,040
But here it's saying, no, 
they're going to keep the 

602
00:29:35,040 --> 00:29:37,280
independent merchants in the 
loop. 

603
00:29:37,640 --> 00:29:39,640
So, you know, if you're getting 
kind of like these 

604
00:29:39,640 --> 00:29:42,600
recommendations and it's saying 
like, hey, you know, actually 

605
00:29:42,760 --> 00:29:46,520
Hank has the best, you know, 
dill pickle potato chips on 

606
00:29:46,520 --> 00:29:49,000
planet Earth and it gives you 
the recommendation. 

607
00:29:49,000 --> 00:29:51,680
You'll be able to serve to sell 
straight through them. 

608
00:29:51,680 --> 00:29:53,640
And of course, then you could go
for all of sales and 

609
00:29:53,640 --> 00:29:56,680
subscriptions or whatever. 
And it, you know, for 

610
00:29:56,840 --> 00:30:00,760
independent creators, I mean, 
this is like massive and it, but

611
00:30:00,760 --> 00:30:02,640
already I think it's what's it 
called? 

612
00:30:02,680 --> 00:30:06,800
It's called like large language 
sales protocol from Stripes. 

613
00:30:06,800 --> 00:30:09,440
So Stripes doing all the 
merchant services behind it. 

614
00:30:10,040 --> 00:30:13,520
So this could be a whole new 
industry and maybe even closer 

615
00:30:13,520 --> 00:30:16,680
to the Internet that we were 
promised, which was kind of a 

616
00:30:16,680 --> 00:30:21,160
level a level playing field. 
Which is all to say, which is 

617
00:30:21,160 --> 00:30:24,600
all to say that a brand of any 
size at this point really needs 

618
00:30:24,600 --> 00:30:27,840
to be minding their comments and
not necessarily just with like a

619
00:30:27,840 --> 00:30:30,880
heart emoji or whatever. 
But if you can engage in 

620
00:30:30,880 --> 00:30:34,640
dialogue to really get in depth 
responses, to get really 

621
00:30:34,640 --> 00:30:40,840
important, like to help people 
and to satisfy what they want. 

622
00:30:41,160 --> 00:30:44,480
Like you're going to get these, 
these, these recommendations 

623
00:30:44,480 --> 00:30:48,880
from the LLMS And those, I mean,
I, I think are, are worth 

624
00:30:48,880 --> 00:30:52,000
weight, worth their weight in 
gold in comparison to Google 

625
00:30:52,000 --> 00:30:54,120
response. 
Google will give you a page with

626
00:30:54,120 --> 00:30:57,680
a bunch of ads on it, whereas 
GPT might be your best friend, 

627
00:30:57,680 --> 00:31:00,360
knows everything about you and 
it just gives you 3 choices and 

628
00:31:00,360 --> 00:31:02,360
you're like it must be the best 
because it loves me. 

629
00:31:03,440 --> 00:31:05,880
Yep, that's right. 
And, and it yeah, I'm, no, I'm 

630
00:31:05,880 --> 00:31:08,520
not an SEO wizard, but I know 
enough to be dangerous about it.

631
00:31:08,920 --> 00:31:12,880
The past decade or two has been,
you know, pages, backlinks to 

632
00:31:12,880 --> 00:31:14,360
your pages. 
And then there's these, you 

633
00:31:14,360 --> 00:31:17,120
know, models or these, these 
workflows where you have 

634
00:31:17,120 --> 00:31:20,200
thousands and thousands and 
thousands like blog articles 

635
00:31:20,400 --> 00:31:23,040
loaded up with keywords. 
And then you dump a bunch of 

636
00:31:23,040 --> 00:31:25,040
backlinks on there and have them
all talking to each other. 

637
00:31:25,040 --> 00:31:26,800
And then it shows up on the page
rank and then you get on 

638
00:31:26,800 --> 00:31:29,920
Google's front page. 
That's just that's not real 

639
00:31:30,040 --> 00:31:31,800
value. 
It's manufactured a lot of it. 

640
00:31:32,000 --> 00:31:34,720
And so if you take what you just
described in the comments 

641
00:31:34,720 --> 00:31:37,000
section of real people talking 
about real interests about your 

642
00:31:37,000 --> 00:31:40,640
real product, that's the 
backlinks that are one person at

643
00:31:40,640 --> 00:31:42,600
a time. 
And that's their their opinion 

644
00:31:42,600 --> 00:31:45,880
and their thoughts, which is way
higher quality and more accurate

645
00:31:45,880 --> 00:31:47,800
representation of real value in 
the market. 

646
00:31:47,800 --> 00:31:50,520
So this is great. 
It's like democratizing value 

647
00:31:50,800 --> 00:31:53,600
out out on the web now in 
e-commerce and everything else 

648
00:31:53,600 --> 00:31:56,320
that is brand related. 
So cool, it's a whole new dawn 

649
00:31:57,240 --> 00:31:59,320
and Stanify. 
Right, by the way, you have to 

650
00:31:59,320 --> 00:32:03,200
say this one last part. 
You mentioned Shopify, you know 

651
00:32:05,360 --> 00:32:08,880
Shopify merchants have usually 
have e-commerce products they 

652
00:32:08,880 --> 00:32:12,000
sell ads to drive eyeballs to 
their e-commerce products 

653
00:32:12,000 --> 00:32:14,280
because the algo doesn't want to
give you that love. 

654
00:32:14,280 --> 00:32:17,520
They want you to pay Meta and 
YouTube and these others. 

655
00:32:17,800 --> 00:32:20,680
One really important part of 
stanifying where we bring value 

656
00:32:20,680 --> 00:32:24,640
is to protect the ad spend. 
So when companies that we have 

657
00:32:24,640 --> 00:32:27,800
one customer who they have a 
small e-commerce business, maybe

658
00:32:27,800 --> 00:32:32,200
like 10,000 Instagram followers 
and when they post a regular 

659
00:32:32,200 --> 00:32:34,600
post beautiful women on the 
beach with their product or 

660
00:32:34,600 --> 00:32:37,680
whatever, no comments at all. 
Like nobody comments on that. 

661
00:32:37,880 --> 00:32:41,760
However, when they run ads, they
get 800 comments, 1000 comments,

662
00:32:41,760 --> 00:32:45,840
200 to 2000 comments on the ad 
and they're in there all day 

663
00:32:45,840 --> 00:32:48,720
long refreshing Facebook 
business manager to try and 

664
00:32:48,720 --> 00:32:50,680
catch the negativity. 
Looks cheap, wouldn't buy it. 

665
00:32:50,800 --> 00:32:54,080
And removing that to protect the
spend and the quality of the 

666
00:32:54,080 --> 00:32:58,000
experience of a of a user taking
in that ad, we can do that 

667
00:32:58,000 --> 00:32:59,800
automatically and answer all the
questions. 

668
00:32:59,800 --> 00:33:02,680
So that opens up a market of I 
don't know, 100 million 

669
00:33:02,720 --> 00:33:06,400
businesses globally that buy ads
on the Internet on social. 

670
00:33:07,040 --> 00:33:10,080
So it's a great, a great thing 
to see the problem there. 

671
00:33:10,120 --> 00:33:12,480
And at this point it's like our 
opportunity to to lose. 

672
00:33:12,480 --> 00:33:15,560
We won't go get it. 
No doubt the Shopify merchants 

673
00:33:15,560 --> 00:33:16,880
come on over. 
Come on over. 

674
00:33:19,760 --> 00:33:23,320
This episode is brought to you 
by Moburst, the AI first growth 

675
00:33:23,320 --> 00:33:27,040
engine trusted by iconic 
startups like Calm, Robin Hood, 

676
00:33:27,160 --> 00:33:31,320
Reddit, Uber and Google. 
Moburst is a digital, full 

677
00:33:31,320 --> 00:33:34,560
service, mobile first marketing 
agency that helps companies to 

678
00:33:34,560 --> 00:33:37,000
scale and become category 
leaders. 

679
00:33:37,280 --> 00:33:40,000
Whether you're finding product 
market fit or ready to 

680
00:33:40,000 --> 00:33:43,720
accelerate growth, Moburst 
delivers creative, data-driven 

681
00:33:43,720 --> 00:33:47,520
solutions that help with scale 
and efficiency and impact. 

682
00:33:47,840 --> 00:33:50,200
And Moburst, we're not just 
guessing what works. 

683
00:33:50,200 --> 00:33:53,840
We're predicting it. 
As an AI first agency, Moburst 

684
00:33:53,840 --> 00:33:57,680
uses cutting edge tools to 
analyze user behavior, adapt 

685
00:33:57,680 --> 00:34:01,600
creative in real time, and cover
hidden growth opportunities. 

686
00:34:01,640 --> 00:34:03,800
The result? 
Marketing that's faster, 

687
00:34:03,800 --> 00:34:07,440
smarter, and built to convert 
from early stage startups to 

688
00:34:07,440 --> 00:34:09,560
global brands. 
We've helped hundreds of 

689
00:34:09,560 --> 00:34:12,920
companies overcome complex 
challenges, unlock new 

690
00:34:12,920 --> 00:34:15,840
audiences, and optimize every 
metric that matters. 

691
00:34:16,440 --> 00:34:19,440
At Moeburst, we believe that 
creative thinking, advanced 

692
00:34:19,440 --> 00:34:23,120
technology, and data are the 
core drivers of success at 

693
00:34:23,120 --> 00:34:25,080
scale. 
If you're serious about scaling 

694
00:34:25,080 --> 00:34:28,520
your business with precision and
purpose, it's time to talk to 

695
00:34:28,520 --> 00:34:31,280
Moeburst. 
Visit moeburst.com and let's 

696
00:34:31,280 --> 00:34:33,960
build something category 
defining together. 

697
00:34:35,960 --> 00:34:37,960
Hey founders, let me ask you 
this. 

698
00:34:38,239 --> 00:34:41,800
Are you building with AI or 
getting left behind by it? 

699
00:34:42,560 --> 00:34:46,280
If you're serious about scaling 
smarter, faster and bolder, you 

700
00:34:46,280 --> 00:34:49,760
need to check out AI for 
founders.co. 

701
00:34:50,239 --> 00:34:53,199
It's your go to resource for 
cutting through the noise and 

702
00:34:53,199 --> 00:34:55,639
actually using AI to grow your 
startup. 

703
00:34:56,280 --> 00:35:00,760
Each week, AI for Founders drops
a sharp, no fluff newsletter, 

704
00:35:01,080 --> 00:35:05,280
dives deep with expert guests on
the podcast, and hosts monthly 

705
00:35:05,280 --> 00:35:08,560
workshops where you can get your
hands dirty with the real tools 

706
00:35:08,560 --> 00:35:12,200
and strategies. 
Whether you're precede or Series

707
00:35:12,200 --> 00:35:15,520
B and beyond, launching 
something new or just staying 

708
00:35:15,520 --> 00:35:20,280
sharp, AI for Founders gives you
the edge you need to win in 2025

709
00:35:20,280 --> 00:35:23,880
and beyond. 
Hit AI for founders.co to 

710
00:35:23,880 --> 00:35:27,480
subscribe to the newsletter, 
tune into the podcast, and grab 

711
00:35:27,480 --> 00:35:30,520
your spot in the next workshop, 
and it's all free. 

712
00:35:30,800 --> 00:35:34,800
Build smarter, move faster, 
think bolder with AI for 

713
00:35:34,800 --> 00:35:36,400
Founders. 
Now back to the show. 

714
00:35:42,400 --> 00:35:44,880
Let's talk about your ideal 
customers, like you're a very 

715
00:35:44,880 --> 00:35:48,280
new business and you have been 
somehow been able to secure 

716
00:35:48,440 --> 00:35:52,000
massive logos, enterprise logos 
as early customers. 

717
00:35:52,320 --> 00:35:56,200
So talk about your ideal client 
is like a the independent 

718
00:35:56,840 --> 00:35:59,880
Spotify merchant a great 
candidate for stanify. 

719
00:35:59,880 --> 00:36:02,600
Are you looking obviously the 
the big enterprise you can 

720
00:36:02,600 --> 00:36:04,640
facilitate that talk about that 
a little bit. 

721
00:36:05,720 --> 00:36:07,080
Yeah. 
So great question. 

722
00:36:07,080 --> 00:36:10,840
And the short answer is we don't
have the ICP nailed yet because 

723
00:36:11,040 --> 00:36:14,480
we're solving really acute pain 
points, migraine level pain 

724
00:36:14,480 --> 00:36:18,880
points for small E com Shopify 
merchants, for example, that 

725
00:36:18,880 --> 00:36:20,920
might have a $2,000,000 a year 
business and they're just 

726
00:36:20,920 --> 00:36:24,880
drowning in the needs of social 
media campaigns. 

727
00:36:25,440 --> 00:36:28,000
And then you have these holding 
companies, Fortune 100. 

728
00:36:28,000 --> 00:36:29,840
I don't want to go in too much 
detail here, but we're dealing 

729
00:36:29,840 --> 00:36:31,760
with some of the biggest 
companies in the world that have

730
00:36:32,200 --> 00:36:36,240
similar needs of coverage on 
social, but like safety is a 

731
00:36:36,240 --> 00:36:38,480
huge part because they have 
1,000,000 of audience and 

732
00:36:38,480 --> 00:36:41,560
hundreds of thousands of 
conversations to be monitoring 

733
00:36:41,560 --> 00:36:43,000
where the small companies don't 
have that. 

734
00:36:43,080 --> 00:36:46,880
So what is in the in the Venn 
diagram common with both of them

735
00:36:47,000 --> 00:36:51,760
is my business is trying to 
interface with humans on social.

736
00:36:52,080 --> 00:36:57,240
And if you have a challenges 
there that if helped would you 

737
00:36:57,240 --> 00:36:59,600
know, give your business a 
better chance of success, that's

738
00:36:59,600 --> 00:37:02,840
the ICP. 
So that's really general, but 

739
00:37:02,840 --> 00:37:06,000
our products can service tiny 
companies all the way up to the 

740
00:37:06,000 --> 00:37:08,560
biggest of the big. 
And we don't really want to tune

741
00:37:08,560 --> 00:37:11,440
it more than that until we learn
more about, you know, how much 

742
00:37:11,440 --> 00:37:14,800
deeper we would need to go with 
the enterprise customers versus 

743
00:37:14,800 --> 00:37:17,360
the small ecoms. 
And the truth is what works for 

744
00:37:17,360 --> 00:37:20,880
enterprise, whether you're 
selling 100 million tchotchkes 

745
00:37:20,880 --> 00:37:24,520
online and over here this guy's 
selling 1000 tchotchkes, same 

746
00:37:25,080 --> 00:37:26,880
challenges. 
So what we're building for 

747
00:37:26,880 --> 00:37:29,120
enterprise actually works for 
the smaller customers as well. 

748
00:37:29,640 --> 00:37:35,320
Readable so cool so you have 
clients you you have traction. 

749
00:37:35,640 --> 00:37:38,960
You guys are killing it, but 
also you're funding or you're 

750
00:37:38,960 --> 00:37:41,240
looking for a growth round of 
financing. 

751
00:37:41,240 --> 00:37:45,120
Now I know people in this 
audience are always looking for 

752
00:37:45,640 --> 00:37:49,280
a winner and looking to get in 
early with the deal. 

753
00:37:49,280 --> 00:37:53,000
So talk a little bit about the 
the, the investment opportunity 

754
00:37:53,000 --> 00:37:55,240
and maybe minimum check size 
you're looking for. 

755
00:37:55,800 --> 00:37:58,160
Sure. 
So we've got a really unique 

756
00:37:58,160 --> 00:37:59,800
thing here. 
So we bootstrapped the company 

757
00:37:59,800 --> 00:38:02,000
from the start only four or five
months ago. 

758
00:38:02,000 --> 00:38:04,760
We get started and immediately 
got enterprise traction. 

759
00:38:05,000 --> 00:38:08,920
And we also have SMBs and news 
and media, entertainment, sports

760
00:38:08,920 --> 00:38:11,880
leagues, like we have a bunch of
customers that we're learning 

761
00:38:11,880 --> 00:38:14,080
from, but we don't have 
thousands of customers because 

762
00:38:14,080 --> 00:38:16,560
we didn't want thousands. 
Once we realized we have Fortune

763
00:38:16,560 --> 00:38:19,040
100 to deal with, we're in a big
learning mode there. 

764
00:38:19,040 --> 00:38:21,960
And so we thought we might 
bootstrap at the beginning of 

765
00:38:21,960 --> 00:38:24,840
the company, just bootstrap into
the market and just be fine. 

766
00:38:25,040 --> 00:38:28,480
But we've got so much to do for 
the for the enterprise clients 

767
00:38:28,480 --> 00:38:30,760
that we just want more 
engineering firepower to move 

768
00:38:30,760 --> 00:38:32,960
faster on our product and learn 
faster. 

769
00:38:33,080 --> 00:38:36,840
So the raise is just for 
engineering to handle inbound 

770
00:38:36,840 --> 00:38:40,840
demand and current customers and
the the sort of growth part in 

771
00:38:40,840 --> 00:38:42,920
like automating self-serve 
product. 

772
00:38:42,920 --> 00:38:44,760
We've kind of already built all 
that, but we don't want to bring

773
00:38:44,760 --> 00:38:47,240
that on until we really know 
that we can service these 

774
00:38:47,240 --> 00:38:51,080
Fortune 100, Fortune 5000. 
So it's a, it's a lean 

775
00:38:51,520 --> 00:38:54,560
fundraise. 
And you know, this is 1 where we

776
00:38:54,560 --> 00:38:56,920
don't really know how much 
capital we're going to need. 

777
00:38:56,920 --> 00:39:00,880
Like some of these brands have 
like 500 companies in their 

778
00:39:00,880 --> 00:39:04,160
portfolio in 180 countries, 
right? 

779
00:39:04,280 --> 00:39:07,600
And so that's like 100,000 
potential Sanifi accounts 

780
00:39:07,600 --> 00:39:08,880
because they're all in different
languages. 

781
00:39:08,880 --> 00:39:15,040
And so we, we're raising with 
strategic investors who can help

782
00:39:15,040 --> 00:39:18,200
us with the opportunity. 
It's not like mom and pop 

783
00:39:18,360 --> 00:39:21,960
doctors and lawyers kind of 
checks, which you could do, but 

784
00:39:21,960 --> 00:39:24,240
we want to, we want to have 
people that are as excited about

785
00:39:24,480 --> 00:39:28,240
our opportunities we are. 
And so the check sizes, it can 

786
00:39:28,240 --> 00:39:30,240
be small. 
We've had investors come on for 

787
00:39:30,240 --> 00:39:33,760
as little AS25K because they 
bring so much value. 

788
00:39:33,760 --> 00:39:36,320
Beyond that, we don't care about
the number, but then there's 

789
00:39:36,320 --> 00:39:39,080
also much larger checks in the 
mix as well. 

790
00:39:39,320 --> 00:39:41,960
The strategic help is the thing.
We we just see it as our 

791
00:39:41,960 --> 00:39:43,480
opportunity to lose. 
If we don't have the right 

792
00:39:43,480 --> 00:39:46,280
people with us, we'll be missing
missing the ball. 

793
00:39:46,440 --> 00:39:48,880
It sounds like you just don't 
like moms and dads and doctors. 

794
00:39:49,800 --> 00:39:52,160
Oh, man, I've started several 
companies in the past and I've 

795
00:39:52,160 --> 00:39:55,040
taken friends and family money 
and you know what it comes with.

796
00:39:55,320 --> 00:39:57,520
It comes with a different kind 
of obligation, you know? 

797
00:39:57,760 --> 00:39:59,000
What I mean, yes it does. 
It does. 

798
00:39:59,000 --> 00:40:01,120
It makes Thanksgiving a little 
spicy like. 

799
00:40:02,640 --> 00:40:04,680
We got. 
That and you know, no offense to

800
00:40:04,680 --> 00:40:08,000
small check writers at all, but 
the I mean, this is well known 

801
00:40:08,000 --> 00:40:10,040
in the startup world. 
The smaller the check, the more 

802
00:40:10,040 --> 00:40:12,240
maintenance they are as an 
investor asking questions all 

803
00:40:12,240 --> 00:40:14,200
the time. 
And which is not bad if the 

804
00:40:14,200 --> 00:40:17,320
questions are in a name to help.
But sometimes it can be people 

805
00:40:17,320 --> 00:40:20,600
that might not just be as 
sophisticated about the trials 

806
00:40:20,600 --> 00:40:23,400
and tribulations of the startup 
world and how wild the swings 

807
00:40:23,400 --> 00:40:25,440
can be. 
And so we just found every time,

808
00:40:25,440 --> 00:40:28,640
like my Co founder sold his last
business to Facebook after going

809
00:40:28,640 --> 00:40:31,520
through Y Combinator. 
Like we both, you know, we're 

810
00:40:31,520 --> 00:40:33,200
older, we got some Gray hairs 
going on. 

811
00:40:33,200 --> 00:40:34,440
We've been around the block a 
few times. 

812
00:40:34,440 --> 00:40:37,120
And we really, the quality of 
the people you're working with 

813
00:40:37,120 --> 00:40:39,320
early really makes a difference 
in the long run. 

814
00:40:39,320 --> 00:40:41,360
It's it's kind of like a merit. 
It's like you really want to be 

815
00:40:41,400 --> 00:40:44,200
long term partners with the 
people that are early on. 100% 

816
00:40:44,200 --> 00:40:47,600
So you're looking more for like 
angels baby family offices, 

817
00:40:47,800 --> 00:40:51,120
you're not going all the venture
route yet, right? 

818
00:40:52,160 --> 00:40:53,760
Yes. 
And in fact the venture 

819
00:40:53,760 --> 00:40:56,280
companies we've talked to, they 
have this like 8 week diligence 

820
00:40:56,280 --> 00:40:58,920
process and IC and you know all 
this stuff, which is which is 

821
00:40:58,920 --> 00:41:02,120
fine, but we found the ones who 
are really interested in what 

822
00:41:02,120 --> 00:41:04,000
we're doing, they commit 
immediately and then we can get 

823
00:41:04,000 --> 00:41:05,760
back to work. 
We don't want to be spending 

824
00:41:06,120 --> 00:41:09,200
months fundraising, we'd rather 
just get back to the work, any 

825
00:41:09,200 --> 00:41:10,720
opportunities. 
So there's that. 

826
00:41:10,720 --> 00:41:14,360
And for all the venture 
capitalists out there, if it's 

827
00:41:14,520 --> 00:41:18,200
too fast, too early to whatever,
we're happy to service your port

828
00:41:18,200 --> 00:41:20,440
coast because all of them need 
what we do. 

829
00:41:20,480 --> 00:41:22,760
And so we found that there's a 
biz dev angle there that really 

830
00:41:22,760 --> 00:41:25,360
works well for us if a fund. 
Not the right fit. 

831
00:41:25,400 --> 00:41:26,920
Now he's pivot. 
We're like, yeah, we're not so 

832
00:41:26,960 --> 00:41:29,480
interested in you as a 
investment opportunity, however 

833
00:41:29,840 --> 00:41:32,960
your portfolio's working. 
We're looking at all the bad 

834
00:41:32,960 --> 00:41:34,280
shit. 
Look at all the bad stuff on 

835
00:41:34,280 --> 00:41:35,520
their feeds. 
We can help with that, you know,

836
00:41:35,520 --> 00:41:36,720
And then we turn them into 
business. 

837
00:41:37,080 --> 00:41:40,960
And it is it. 
Am I interpreting this right as 

838
00:41:41,320 --> 00:41:45,560
stanify as in the M&M stands? 
Yes, exactly. 

839
00:41:45,560 --> 00:41:50,280
So Standify it comes from the 
the stand which used to mean a 

840
00:41:50,280 --> 00:41:53,800
stalker fan in the M&M days and 
it's kind of colloquially become

841
00:41:53,800 --> 00:41:55,320
superfan. 
And what we thought at the 

842
00:41:55,320 --> 00:41:58,200
beginning of the company was via
all the engagement in your 

843
00:41:58,200 --> 00:42:00,320
comments, we're turning your 
fans into superfans. 

844
00:42:00,560 --> 00:42:02,280
And it is still that there's an 
element of it. 

845
00:42:02,280 --> 00:42:05,560
But already in four months we've
learned that like safety and 

846
00:42:05,560 --> 00:42:08,240
data and insights is so 
important to businesses. 

847
00:42:08,240 --> 00:42:10,920
We might not have named it that 
if we'd have known really what 

848
00:42:10,920 --> 00:42:13,080
the product market fit is 
looking like it's going to be, 

849
00:42:13,080 --> 00:42:14,720
but we'll stick with it. 
It's still kind of it's cool. 

850
00:42:15,280 --> 00:42:17,360
I love it. 
I love it and I I think really 

851
00:42:17,360 --> 00:42:20,720
the AEO like if you can get like
solid data that like you're 

852
00:42:20,720 --> 00:42:24,400
improving people's ranking and 
recommendations with LLMS 

853
00:42:24,400 --> 00:42:30,720
through dude, that's that that 
might spawn the branches right 

854
00:42:30,720 --> 00:42:32,160
there. 
I mean, it's it's we're. 

855
00:42:32,160 --> 00:42:33,840
Very excited. 
Like you said, it's the first 

856
00:42:33,840 --> 00:42:37,680
couple of innings of this, but 
like the more time we spend with

857
00:42:37,680 --> 00:42:41,640
GPT, the more it gets to know 
us, the more it likes us. 

858
00:42:41,640 --> 00:42:43,680
It's not going to be so 
complimentary. 

859
00:42:43,680 --> 00:42:46,120
They'll, they'll figure out the 
right tone for each individual 

860
00:42:46,120 --> 00:42:48,600
person. 
And when you, you ask it like 

861
00:42:48,600 --> 00:42:51,360
what kind of salad dressing you 
should get, it's going to tell 

862
00:42:51,360 --> 00:42:55,200
you and you're going to like it,
you know, So it's, it's really 

863
00:42:55,200 --> 00:42:56,480
cool. 
Hank, I really appreciate you 

864
00:42:56,480 --> 00:43:00,000
coming on, especially this early
into your process. 

865
00:43:00,000 --> 00:43:02,440
You know, this, this audience is
full of founders. 

866
00:43:02,440 --> 00:43:04,560
We're all in different stages 
with different projects. 

867
00:43:05,120 --> 00:43:09,200
I think a lot, a lot of the the 
founders had a little Gray too. 

868
00:43:09,400 --> 00:43:11,240
So maybe they're on their 
second, third project. 

869
00:43:11,240 --> 00:43:14,560
Maybe they're in deep 6-7 years 
and they're holding their head 

870
00:43:14,680 --> 00:43:17,760
at the end of the day. 
But to remember those early days

871
00:43:17,760 --> 00:43:21,680
of, of launch and validation and
traction, it's so exciting, man.

872
00:43:21,680 --> 00:43:23,560
So thanks for bringing that 
energy to the show. 

873
00:43:24,520 --> 00:43:25,720
Appreciate it and thanks for 
having me. 

874
00:43:25,720 --> 00:43:28,400
And I will say to the to 
listeners out there, you know, 

875
00:43:28,400 --> 00:43:31,320
we're in a learning phase right 
now where we really like to see 

876
00:43:31,320 --> 00:43:33,400
the challenges of businesses 
that we might not even be 

877
00:43:33,400 --> 00:43:35,280
thinking of. 
So if you're seeing this, you 

878
00:43:35,280 --> 00:43:37,920
know, head over to the website, 
it's it says book a call, book a

879
00:43:37,920 --> 00:43:39,320
demo and that goes to our 
founders. 

880
00:43:39,560 --> 00:43:42,200
So we want to learn more. 
We don't have a self-serve 

881
00:43:42,200 --> 00:43:45,280
product by design, because the 
more we can learn now, the more 

882
00:43:45,280 --> 00:43:48,040
we can apply that learning to a 
million companies when it's 

883
00:43:48,040 --> 00:43:49,200
time. 
So please reach out. 

884
00:43:49,200 --> 00:43:51,240
Definitely, we'd love to talk 
and learn more about what the 

885
00:43:51,240 --> 00:43:52,720
needs are that we might not even
be thinking of. 

886
00:43:53,120 --> 00:43:55,920
Amazing. 
And that's Stanify dot AI And 

887
00:43:55,920 --> 00:43:59,440
what's the best place for people
to reach you personally online? 

888
00:44:02,000 --> 00:44:05,680
Great question. 
You know, I think X is probably 

889
00:44:05,680 --> 00:44:07,640
the the the best. 
It's just my first name, last 

890
00:44:07,640 --> 00:44:13,920
name, Hank Leber LEBERHANKLEBER 
is my handle on X and I'm Hank 

891
00:44:13,920 --> 00:44:16,200
at stanify dot AI. 
Go ahead and e-mail it to me if 

892
00:44:16,200 --> 00:44:18,480
you want to, but you'll be 
faster on Twitter on X. 

893
00:44:18,960 --> 00:44:20,320
Amazing. 
Hank, this was awesome. 

894
00:44:20,320 --> 00:44:22,280
Thank you so much. 
Yeah. 

895
00:44:22,280 --> 00:44:23,280
Cheers. 
Thank you again, Ryan.

