- ChatGPT-3 has taken the world by storm.
AI is starting to transform the entire SaaS landscape.
And more than anything else,
for consumers, for developers, for founders, for VCs,
everyone in this ecosystem,
it's reignited our imagination
of how to think about computers,
what to expect from software,
and what artificial intelligence can really do.
Here's the big question though.
We all know we are at this transformative point
in terms of SaaS, in terms of software,
in terms of startups.
Here's the big question though.
What are gonna be the biggest AI-driven SaaS businesses
that will get launched today
that are gonna be the next Googles,
the next Facebooks in the next decade.
Or even going to be some really profitable
micro SaaS businesses in the next decade
because of this transformation.
On today's episode,
I'm gonna give you seven, five, six,
seven key SaaS AI business ideas
that are gonna be huge,
and I'm gonna give them to you, not from my opinion,
I'm gonna ask ChatGPT-3 on exactly what they are.
We're gonna print 'em out,
we're gonna look at them.
I'm gonna show you the three principles
that I utilize to develop SaaS ideas today,
given the world of ChatGPT-3,
language models, AI,
and everything that I know about SaaS.
And when you follow these principles
and look at these seven business ideas,
which are actually really good,
you're gonna be able to accelerate your path
to that next stage of growth for the SaaS business
you're already running
or the one you're about to start.
Intro.
(upbeat music)
What's up, everybody?
Welcome to Unstoppable.
I'm TK, and on this channel,
it helps SaaS founders like you grow your
SaaS business faster with an unstoppable strategy.
Now, if you're new to this channel, welcome.
I drop an episode every single Sunday
with actional strategies and tactics from the trenches
on how to grow your SaaS business faster.
So be sure to hit that Subscribe button
and that bell icon.
That way, you'll get notified
every single time I drop an episode with the TK energy.
Now, if you're already part of this channel,
if you're part of this community,
if you're part of my SaaS Go-to-Market coaching programs,
my people, welcome back.
It's really awesome to see you over here.
So we are entering the era of SaaS 3.0.
I don't know why more people aren't talking about this,
but this is a huge shift that's happening in SaaS.
SaaS 1.0 was about taking on-premise software
and bringing it into the cloud.
SaaS 2.0, which is the last decade,
has been about making sure all your cloud applications
sync with each other.
All your data is synchronizing the cloud,
and you can do your best work.
And SaaS 3.0 that we are headed into now,
and are in right now,
is gonna be software that just does it for you.
It's all in the cloud,
the data's in the cloud,
the workflow's in the cloud,
it's just gonna do the work for you.
And we're starting to see that
with things like ChatGPT-3,
but there's a lot more coming.
So this begs the question,
what are gonna be some of the biggest AI SaaS businesses
over the next decade?
What are gonna be successful SaaS businesses
that you can start today given this new technology,
given GPT-3, given ChatGPT, given AI,
given language models,
all these new technology breakthroughs
that are coming out now.
So in this episode, I'm gonna ask ChatGPT-3
what those ideas are
because why do work when SaaS 3.0
can just do all the work for me?
We're gonna print it out,
we're gonna work through those seven ideas,
and I'm gonna give you the three principles
you absolutely need to know
about starting a SaaS company today
in this SaaS 3.0 world.
So excited to dig in.
Go ahead and smash out Like button
for the YouTube algorithm,
and let's dig right into it.
First principle, let's ask ChatGPT-3
exactly what the biggest ideas are gonna be,
and then we'll figure out,
you and I together,
if they make any sense or not.
Okay, so I'm logged in to ChatGPT-3,
so let's just ask it
what are the seven best AI SaaS businesses
to start with ChatGPT?
And it'll think for a second,
and it should give me an answer any moment now.
Okay, so it's given me seven,
and what you'll notice here
is it's pretty broad.
Some of these aren't really SaaS businesses.
There can be hardware businesses, robotics business,
which is okay.
So I'm gonna ask it again,
and I'm gonna tweak this a little bit.
I'm gonna say,
"Give me seven best SaaS businesses
that I can start using the GPT-3 API."
So I'm gonna tweak the prompt a little bit,
and this is an important piece.
We're gonna talk about this in the next principle
on why this is an important distinction
with ChatGPT-3, and ChatGPT,
and anything else that's coming out
with language models.
Okay, cool, so this is starting to come out.
Content generation, this is starting to be
a little bit more specific,
because now, it's saying,
"Okay, cool, given the GPT-3 API,
which I can build a SaaS business on top of,
here's some of the big ideas that can exist,
the businesses that can exist."
And really, what it's really doing,
you know, this is magical, but also not that magical.
What it's really doing is it knows
what GPT-3's capabilities are
in terms of the APIs.
And it's summarizing here the different things you can do
using those APIs,
which is exactly what I wanted.
Okay, so we're seeing email automation,
text-to-speech, summarization, content,
this is perfect.
So what I'm gonna do now
is I'm gonna go super old fashioned.
And I love how it says like,
"Hey, by the way, these are just examples.
You still needed to go to market
and figure out if this is a thing,
which is like, yeah, that sounds right.
So I'm gonna basically take a screenshot
of this thing here,
and I am going to print it out.
And yes, in this world,
I do own a printer,
which is great.
Okay, cool.
Now that it's printing, let's take a look.
(printer whirring)
(paper rustling)
All right, and so now the ChatGPT-3
has done some of the work for us,
let's do the hard work
where we actually figure out
if this is real and accurate or not.
Seven great AI SaaS businesses
according to ChatGPT-3.
And we will see what that really means.
Okay, so principle number one is,
well, we can ask ChatGPT-3 on some of these answers,
so we can, as humans, figure out,
hey, is there a real thing here?
But really, what this means is I've got this new API,
that's principle number one
with figuring out your best AI idea
or how to incorporate AI into your existing SaaS offering.
Whether you're starting a new one
or even existing one,
you really wanna understand what are the new capabilities
that this technology is giving you
that you can incorporate into your SaaS application.
And so that's why I asked this question
in this specific way.
This is essentially the prompt, right?
I asked in a specific way
because I wanted to know,
given the ChatGPT-3 API,
which is GPT-3 underneath,
that the chat sits on.
And I think GPT-3 is actually more powerful
than this ChatGPT-3,
and it's gonna be even more powerful with ChatGPT-4,
but given that API,
what are some incredible SaaS businesses that I can build?
So you can see it starts to talk about like,
"Well, you can build a SaaS application
that does content generation."
'Cause we know we have APIs around creating text.
It's a language model.
You know you can do language translation,
you can do chatbots
where it does intelligent responses
so you can create your own focused chatbot,
just like chat ChatGPT-3 using the GPT-3 language model.
You can actually give it text
and you can summarize things.
You can give it text
and you can turn it into speech.
You can do email automation
where it writes emails for you
based on the context of what's going on.
And you can do even do content personalization,
where given a specific person and their characteristics,
you can say,
"Hey, take this content and personalize it,
and pick out the right things or summarize."
And you can combine some of these things.
These are seven really great SaaS ideas.
They can be micro SaaS ideas,
it can be massive venture-backed ideas
depending on the market you're going into.
What I did love is,
you know, it says like,
"Hey, these are just examples
and you should conduct your own research,
and analysis, and feasibility."
Which is exactly what we talk about in this channel.
It's like ideas are certain things,
but you wanna apply the principles,
and figure out if the market has a real urgent
and important need for it.
But principle number one here
is that this is new technology that exists today.
And so the question becomes,
what can I do with this API?
How can I tweak this API
to really make the most of it?
And so this brings us to principle number two
of with these seven great SaaS ideas,
like, how do you turn it into a real SaaS business?
How do you take part in this SaaS 3.0 era?
How do you build a SaaS business,
whether it's a micro SaaS,
or a huge venture-backed SaaS,
or something in the middle that's bootstrapped,
how do you actually take part in this
to build game-changing software
that wins the market and dominates
given this new trend that's happening?
Remember, we talked about there's 1.0,
which is basically on-prem to cloud 2.0,
which is it's all in the cloud,
and all in sync,
and you have workflow.
And now, we're at 3.0,
which is, it's all here.
They all build off of each other.
It's like, just do it for me.
And so this is where it becomes really, really interesting.
Principle number two that you wanna understand
to take advantage
of any one of these seven great AI businesses
or just this change that's happening with AI
to build an incredible SaaS company
is you wanna think about prompt engineering.
This is really important.
Did you notice how, earlier in the video,
I tried a couple of different ways
to ask GPT-3 the question.
These are called prompts.
And in the old world,
you had APIs that had specific functions,
you can call them in certain ways,
you pass in variables.
All of that's gone.
With this new technology,
you basically just ask it.
You give it a prompt and it gives you an answer.
It's still an API in ways,
but you have to ask it through language,
because it's a language model
and it understands language.
It doesn't need a programming language.
But it's just as powerful as any API.
Meaning, the way you asked the question,
it gives you different answers.
That first question I asked was,
hey, what are some great AI businesses?
And it was,
it gave me a very broad set of AI businesses.
Then I asked like,
"Hey, that's cool, but I wanna know,
given the GPT-3 API,
what are some great SaaS businesses that I can build?"
And it gave me a much more focused set of businesses.
And you can see how these are squarely SaaS businesses
and SaaS products that you can build.
That's the power of principle number two.
The way to use this technology,
the power of it is in the prompts.
See, ChatGPT-3 itself may know everything,
but it doesn't know what to do with it.
You have to give it a prompt.
And that is a creative process.
And so you can think about,
right now, you have this chat interface,
and you give it a prompt,
and it gives you an answer.
And then you, as a human being,
are interpreting that answer,
and maybe giving it more prompts to tweak it.
That's what I did right in front of you.
That was a human piece.
A big opportunity here
is to create a SaaS product
where you take input from the users,
and then you pass it to GPT-3 as a prompt,
and then you pass it back.
And that allows you
to actually get creative
on exactly how you leverage GPT-3.
So for example, let's just say you're creating
an email automation tool.
Some of the inputs that you take are,
hey who is this email going to?
What do they care about?
What are you selling?
What's your value prop?
And you can generate a custom prompt saying,
"Hey, GPT-3, create a custom email,
a cold email that's targeted towards a VP of sales
who needs more pipeline
and is looking for outbound email automation software."
And you can go past this to GPT-3.
That's you taking a bunch of inputs and generating a prompt.
And that prompt is what's generally unique
about how you're using this API.
And you're passing it in,
and it's giving you a response,
and you're passing it back to the user.
All of a sudden, even though someone
can just go to GPT-3 and use the underlying technology,
your solution becomes more valuable
because you're thinking about the inputs and the outputs,
which has always been the case with any technology.
What you're thinking about is cool.
I really wanna solve a specific problem.
Any one of these are amazing problems to be solving.
So let's just say I'm gonna solve
the email automation problem, perfect.
I wanna ask the user,
my SaaS offering is gonna ask the user,
who is this for?
What are we selling?
What do they need?
What do they care about?
What are they afraid of?
And based on that, you can feed that into GPT-3,
and it'll come out with an answer.
GPT-3 on its own will not know,
at least not yet,
on what prompts to ask you
or how to tweak your prompt.
It's just input, output, input, output.
But you can build a SaaS software
that takes more granular inputs
and feeds it to GPT-3 to get better answers.
And that in itself is what we call the alpha.
It's the unique differentiator.
And now, all of a sudden,
your SaaS application,
even though it's built on top of ChatGPT-3,
is giving more value to the user.
And that's what enables these incredible seven businesses
that could become a thing
over the next few years.
Now, there is a principle number three,
but before I go into that,
let me just pause here for a second.
Are you starting to see the power in this?
Are you starting to see the power
of how this technology shift is amazing,
but there's so much us humans can do
in terms of building great software
to take advantage of this technology.
It's as good as when AWS came out.
It's as good as when cloud came out.
These are unique APIs that you can leverage
to build incredible software
and solve problems for very specific markets.
That's the power in this.
And that's the opportunity here.
And in the third principle,
I'm gonna show you
how you can really, really get
a competitive differentiator
over any of the other products using AI,
even if you're going after one of these ideas
or one of your own.
But before I do that,
if you're starting to see the power in this,
can I just get a yes in the comments below?
And also smash that Like button for the YouTube algorithm.
It really likes it when you do that.
Also, you'll notice, even ChatGPT-3,
when it gave you these ideas,
it said, "Hey, you wanna make sure
you do your own research and your own analysis."
You really figure out if there's a market
for what you're building
before you waste months building the wrong product.
This is why I have my 10-point SaaS business checklist.
It's a simple checklist you can follow
to stress test your idea.
Doesn't take long,
it's super powerful.
It'll stop you from wasting months
on building the wrong product.
You don't have to go anywhere right now.
I'll link to it below,
I'll tell you more about it at the end of this episode.
But you wanna know principle number three,
so let's go in principle number three
because this is what really brings it together.
Principle number three
is a feature of GPT-3 called fine-tuning.
This is super powerful
because in principle number one,
you can ask the ChatGPT-3 for specific ideas
based on its capabilities.
It's already giving you that.
So now you know all the different type of products
that you can build.
In principle number two,
you now know how to leverage GPT-3 in a smart way.
You can create prompts,
and that's one of the leverage you have
to really take advantage of this technology,
and create a 10 times better experience
than people using ChatGPT-3 on their own.
All of a sudden,
now you can sit on top of ChatGPT-3,
and use this language model,
use this AI, use this API, if you will,
to make a wildly differentiated product.
Principle number three
is something that's even more powerful.
This builds on top of that.
GPT-3 has a feature called fine-tuning.
Oh, obviously, this is gonna develop over time,
but the basic idea around this
is you can take the custom data
that you have about your user,
about your market,
about the specific domain you're going into,
and you can feed it into GPT-3
to fine-tune the model.
So you can say,
"Hey, look, GPT-3,
I know you know everything there is to know
about the world and everything that's on the web,
but I happen to know
a few things specific to my user,
or specific to their customers,
or specific to everything that we know.
And I'm gonna train you on that.
And based on that,
I want you to give me your answers.
I want you to improve your answers.
This is the idea of fine-tuning.
And what this does
is basically you have GPT-3 over here.
On top of that,
you have your SaaS application
that's creating these unique inputs and prompts,
but you're also adding a layer of training data.
And this is wildly differentiated
because you're taking your user data,
your customer data,
assuming your privacy policy allows for it,
and you gotta figure that out,
talk to a lawyer,
I'm not your lawyer.
And you can feed that into GPT-3
or another language model like it.
And there's gonna be a lot more like this.
Google's gonna come out with one,
Microsoft's gonna come out with one,
they're all gonna come out with one, right?
And Microsoft already is partnered with GPT-3,
but we'll see how long that lasts.
But the idea is,
you can use your own data to train these language models
to get even better answers.
And that's principle number three,
where when you combine these three things,
you're gonna be able to create amazing SaaS businesses
over the next few years
as part of this SaaS 3.0 movement that is AI-driven.
And you can start to see the difference in this
where instead of just going to ChatGPT-3
and an average user saying,
"Hey, how do I use this thing?,"
you can build SaaS applications that says,
"Cool, give me these inputs
and based on that,
I'm gonna solve the problem for you.
I'm gonna do it for you,
and I'm gonna leverage GPT-3 on your behalf.
And that's gonna make it
where it's so valuable,
people are gonna pay you more.
ChatGPT-3 might be free,
just like how AWS doesn't cost as much,
as an average SaaS application does
because anyone can actually access compute.
But it's the code that really differentiates
how to use that compute
is where the value is created,
and customers would rather pay for that solution.
And that's the opportunity you have.
So, to recap, these are the seven great
AI SaaS business ideas that you can build
based off of what the ChatGPT-3 API provides.
This is not my opinion,
this is based off of ChatGPT-3,
and it's completely correct.
This is what its capabilities are,
so this is what you can do.
Based on that,
principle number two
is this is all about prompt engineering.
So you can use ChatGPT-3 in unique ways,
and give it unique prompts to get better answers,
and better results,
and get better solutions for your customers,
so you can build SaaS applications
on top of GPT-3.
And number three,
you can fine-tune GPT-3
or any other language model
that you're using
using your own data
to get even better answers.
So going back to the email automation example,
you can say,
"Hey, here are the 50 billion things
the VP of sales care about and don't care about.
Here's what their job description is.
Here's what their compensation plan is.
Based on that, write this cold email
for VP of sales who want more pipeline."
And you can start to see how all these pieces come together
to build some amazing AI SaaS businesses
for this SaaS 3.0 era.
And that's what I had for you today.
Now, you know what some of the greatest businesses
are gonna be
given this new technology that's accessible to us,
as developers, as founders, as startup founders.
What you may not know is,
hey, these are great ideas,
but how do I actually stress test this
so I'm not spending months building the wrong product?
This is why I created my 10-point SaaS business checklist.
Just go to tkkader.com/saas-checklist.
Tkkader.com/saas-checklist.
Or just follow the link below,
and you can get access to it the right way.
It's completely free,
and you spend, I don't know, 10 minutes on it,
and you'll be able to stress test your core idea
to make sure you're not wasting time
building the wrong product.
This is super powerful.
I'm really excited about this,
like, you know, one of the things I've always wondered
is like, "What are we gonna talk about
every single week forever?"
Like, "How do we come up with new ideas
for an episode every Sunday?"
I do an episode every single Sunday.
But with exciting changes like this,
it just makes you realize like,
"Oh my God, like, we're in such early innings of SaaS.
I'm so excited about all the amazing companies
that are gonna get built."
And that's why I do this channel,
and that's why I do this.
If you got value from this video,
please smash that Like button for the YouTube algorithm.
Also, I drop an episode like this
with actionable strategies and tactics,
both from my own founder journey
and from other founders that I coach
through my coaching programs.
So be sure to hit that Subscribe button
and that bell icon.
That way, you'll get notified every single time
I drop an episode.
Also, make sure you grab a copy
of that SaaS business checklist,
the 10-point checklist,
(indistinct) ask the right questions
to stress test your idea
so you can take advantage of this amazing technology
that's coming out,
and accessible, and build incredible SaaS companies.
Also, if you have a fellow founder,
if you have a fellow co-founder,
if you're a future founder
that you really wanna start a company with,
if you have a team member,
if you're part of a WhatsApp group,
a Slack group,
please share this video with others.
We wanna help as many SaaS founders as possible
build incredible companies.
We've put a lot of love in these videos exactly for that.
And lastly, remember, everyone needs a strategy
for their life and their business.
When you are with us,
yours is gonna be unstoppable.
I'm TK, and I'll see you in the next episode
or inside of the SaaS business checklist.
(upbeat music)
(mumbles)
Okay, this is gonna be a fun one. (chuckles)
You'll see.