SaaS Interviews with CEOs, Startups, Founders
How 1Mind Hit $1M in 3 Months Selling $100k AI Sales Agents
13 May 2026
Transcript generated automatically by AI and may contain errors.
Chapter 1: How did 1Mind achieve $1 million in revenue within three months?
share how many months from launch did it take you to break a million bucks of contracted revenue we broke a million from when we went out selling within probably three months are you open to showing a percent like a growth rate over the past 12 months are we talking like 500 year over your growth or 100 year over your growth or where are you generally 600 can i ask you what you're doing today or a range we had a 211 ndr i think on your website you said you have 45 customers uh we have over 60 now what is emotionally intelligent ai mean take me past the buzzwords
We are building what we call go-to-market superhuman. So we are replacing all roles across go-to-market. So everything from the obvious that everybody else is doing, hop a funnel inbound. She's on your website. She gives a pitch, gives the demo. She doesn't just pass off to an SDR. She goes all the way for the close.
Chapter 2: What does emotionally intelligent AI mean and how is it applied?
Individual customers now already paying just 18 months after launch $400,000. Amanda, as we wrap up here, you just, you know, 30 million series A closed. What was the valuation? Hey folks, my guest today is Amanda Calo. She's a three-time entrepreneur and the former founder and CEO of Sixth Sense.
She's currently the founder and CEO of OneMind, which she launched to transform the go-to-market strategies using emotionally intelligent AI. Amanda, you ready to take us to the top? Let's do it. All right. Okay, what does emotionally intelligent AI mean?
I don't know who came up with that. That's not typically what, how we, what we call ourselves, but we are building what we call go-to-market superhuman. So we are replacing all roles across go-to-market. So everything from the obvious that everybody else is doing. Oh, here we go. There's our superhuman right there. Uh, hop a funnel inbound. She's on your website.
She gives a pitch, gives the demo. She doesn't just pass off to an SDR. She goes all the way for the close. Um,
Chapter 3: How does 1Mind's AI replace traditional sales roles?
And so then we also join Zoom calls so she could be here on the call with us and she can act as a ride-along sales engineer, solutions engineer to give the demo, answer the tough technical questions. And then we have a lot of PLG companies that are using it for onboarding to get people to go from free trial to paid. And lastly, in customer success.
So how do we onboard our customers through the lifecycle for more of an enterprise motion? Our goal is not to be just top of funnel. Our goal is to support the full lifecycle and give the buyers one experience that's consistent throughout.
Interesting. Yeah, I mean, I'm using it here on my screen. I had to mute it because she started talking to me. But you guys get the sense of what's happening over here. Amanda, just out of curiosity, what's the tech stack here? I mean, is this like a HeyGen real-time API plus 11 Labs voice on top of it? Or what's the tech stack here powering her?
We use a multiple of different... technologies. Some of it's our own and some of it's third-party vendors. We actually have our own pipeline for most of it. We use multiple different face vendors. The face, I believe, will be commoditized at some point. So we did start out building face and then we kind of said, you know what, we're more about the brain.
Chapter 4: What strategies contribute to 1Mind's 600% year-over-year growth?
We want to build the context graph and be the decision logic and the engine behind so that she can give the real live demo so that she can support and create ROI calculators on the fly, et cetera. So yeah, it's a combination of different things and a lot of it's our own.
Really interesting. Okay, let's do a couple of these examples here. HubSpot, VSP, just to be clear, are these real? These are real paying customers, real examples?
They are real enterprise paying customers with logos that we are allowed to talk about. So these are not experimental budgets. Most of these customers are paying the cost of a human. and have multiple like HubSpot, for example, we are working on, I believe it is their fourth superhuman to go live across their journey.
Fiona, the one you're seeing here was the first superhuman that we built for them. It's in the top left corner. Fiona is set to talk to their SMB business. So when somebody asks for a demo, they engage with Fiona. She gives the demo, she qualifies, she takes them through to close and they were able to increase their revenue by 25% in their SMB small business segment.
Interesting. Does Fiona make commissions?
No, that's the good thing. And, you know, we did some analysis for HubSpot and we looked at the transcripts and the number of conversations and the quality of conversations, the depth and the content she was talking about. And it would have taken 89 SDRs and 19 sales engineers to do the job that Fiona is doing today.
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Chapter 5: Why do enterprise customers often purchase additional AI agents quickly?
Interesting. So quantify, I mean, everyone watching my show totally understands the old sort of SDR, BDR to AE ratios. And then there's CSM after that. Everyone understands that flow. How are you? I mean, you probably ran that playbook at six cents, actually, as you scaled six cents. How is this radically changing that? Is this like a cost structure change? Is it something else I'm missing?
If you look at the jobs report, AI has put on more jobs than has taken away. I think there are some legacy ways that we ran go to market that is highly inefficient, as you mentioned. But really, a lot of companies today are stuck and they're not growing and they need to cut costs. They need to do two things. They grow and they need to cut costs.
And so what bigger problem to solve than those two things through the form of an AI superhuman that basically can do the job and do it exponentially better. better, more efficiently and serves the buyer. So my ultimate goal, why I'm helping companies grow, I'm helping them cut costs. My number one thing that we are focused on is creating a better buying experience.
The handoff from an SDR to an AE to a sales engineer to a CSM is atrocious. If you think about, and there's a loss of context and memory, we ask the buyers the same thing.
Chapter 6: How does 1Mind maintain high margins while running AI operations?
We take them through the journey. And it's, if you put yourself in the buyer's shoes, the process that we go through with humans today is ungodly. So this is a new way and a new world to have unlimited memory, recall, capacity limits, can talk to any industry or vertical.
Like for example, if you're talking to like a Cisco or a Databricks that sell to every industry and every vertical and anyone who needs data, for them to staff sales engineers and solutions engineers that understand the nuances of every vertical and every industry they sell to is virtually impossible. But with AI, it has no capacity limits.
So she can actually solution sell in a way that humans could never in the past.
This makes sense. How are you pricing this thing? What's the average customer paying per month today?
It's an annual contract or a multi-year contract commitments that we have from most of our customers right now. Nothing surprised, like it's a flat subscription. We do have some fair use cap, but I'm not in the world of metering. The whole pricing model around AI is very difficult to get right.
And my goal is- Just to be clear, you don't price it. If I have you build one role for me on one license, am I going to pay you 10 grand a year on average? Or what's the general cost?
It's the cost of a human. So it's six figures.
It's like a hundred K, like a hundred K for one. Okay.
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Chapter 7: What is the pricing model for 1Mind's AI agents?
And then if she, if the agent you build for me handles 10 calls versus handles 10,000 calls, you're saying there's no variability pricing there.
There is a variability. We price based on the size of your business. And then we give you, then we have a very good understanding of how much we think you're going to consume.
so we're doing that on the back end but we're not metering it we were so there are a lot of customers of ours that are on a metered pricing system but we were moving and we're shifting over to a world that just makes it easier to know exactly what you're going to pay for and the outcome that she's going to produce and what that looks like yeah i would imagine like my hesitancy to signing up to something like this is okay if i if i release her on my website and she has a thousand conversations and i was like oh my gosh i thought she was going to have five and now i owe amanda like a million dollars when i thought it was going to be like 100k that makes it really hard for me to predict like my budgets for with my cfo is that did you experience
that firsthand? Is that what happened?
No, we actually said you would buy a bucket of conversations. So let's say we would estimate, okay, you're going to have 1000 or 2000 conversations a month. So let's call that 12,000 or 24,000 conversations a year. And I would sell you a bucket of those conversations.
And now what we're moving towards is we still have that concept, but I'm basically giving you exponential what we think you're going to do. Like if you have 10,000 visitors to your site, I think I get 20 to 40% will talk to the superhuman. If you got all 100%, I'm not going to charge you more. So we're really looking at this of like, we want to be in partnership.
We don't want to prohibit you and slow you down from using the superhuman. We don't want you to put her in a corner. We want to give her as much exposure, he or she or they, whatever pronoun you want to give your superhuman, as much exposure as possible to drive as much value in your business as possible. So we're just trying to align back to the values of our customers.
And so it's kind of taking that away in a way that says, all right, I'm going to 5X.
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Chapter 8: How is 1Mind leveraging AI for customer success and sales?
I can't go to 20X or 100X because then I'll be out of business. But I'm going to go to 5X what we think you're going to use.
Guys, remember, I am not just a YouTuber. I'm investing in my third fund. We've deployed $250 million into 550 software companies so far. Again, at founderpath.com. If you're interested in capital, I would love to cut you a check because I know you're investing in your education. You watch my show. So sign up at founderpath.com. And when you get the onboarding email, I reply and I see all those.
Just reply and say, Nathan, I found you through YouTube and I'll make sure to prioritize you. I would love to cut you a check. Check out founderpath.com. Okay, so fair to say, though, average customer today is paying somewhere between $100K and $200K per year for one or two agents handling some bucket of conversations?
Somewhere $100K to $300K, $400K. Okay.
You have customers today already. I mean, you've already gone. You have customers. I mean, you just launched from what I can tell, but you already have customers paying $400K per year?
Yeah. We have had some remarkable... In fact, I just did a chart for my team yesterday where I was looking at all the go-to-market SaaS companies and AI companies, even looking at Clay and Gong and my former company, Sixth Sense. I was the founder and former CEO of Sixth Sense.
I look at the trajectory of the first five years when they were in business and our growth curve is straight up compared to anything we've ever seen in go-to-market.
Well, let me push you on that. It's been pretty wild. Since you opened the bucket, can you share how many months from launch did it take you to break a million bucks of contracted revenue?
We broke a million from when we went out selling within probably three months.
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