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Home/The SaaS Podcast/Episode 357
5 Lessons on Finding Product-Market Fit and Scaling
Jeremy King, Attest

5 Lessons on Finding Product-Market Fit and Scaling

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Episode Summary

What if the fastest way to finding product-market fit was to walk into a train station and start asking strangers questions? That is exactly what Jeremy King did before building Attest into an eight-figure ARR business.

In this special highlights episode, five SaaS founders share hard-won lessons on customer validation, product quality, monetization, resilience, and finding product-market fit - including Rahul Vora's step-by-step Product Market Fit Engine that helped Superhuman grow after two years of coding with no launch.

Over the past 10 years, Omer Khan has interviewed more than 350 SaaS founders on The SaaS Podcast. This episode distills five of the most valuable clips from recent conversations into a single masterclass for early-stage founders.

First, Jeremy King reveals how he took Attest from zero to $1M ARR in under eight months by physically interviewing 200 consumers at Waterloo Station before writing a single line of code. His approach to finding product-market fit started with proving demand at the ground level rather than guessing from a spreadsheet.

Next, Melissa Kwan explains why she spent over two years building eWebinar before showing it to anyone. Having done more than 1,000 webinars during her previous startup Spatio, she knew exactly what the product needed to be and refused to ship until the last 2% was right. The result: 750K ARR and 700 customers, entirely bootstrapped.

Christian Owens, who started building websites at age 12 and now runs Paddle at nearly $100M ARR, shares his framework for finding product-market fit through pragmatism. Every business he has built - from invoicing software to a $1M software bundle to Paddle itself - made money from day one.

Trevor Kaufman's story is a gut-check for any founder facing market rejection. He sold his own house to keep Piano alive after media companies refused to adopt paywalls. Today Piano serves 800 customers at $80M ARR, proving that being early to a market is not the same as being wrong.

Finally, Rahul Vora walks through the Product Market Fit Engine he created at Superhuman. After two years of coding with intense pressure to launch, Rahul developed a four-step system - survey, segment, analyze, implement - anchored on Sean Ellis's "very disappointed" benchmark of 40%. That framework helped Superhuman find product-market fit systematically and raise over $125M.

Whether you are validating a new idea or wondering if your current product has real traction, these five stories offer a practical playbook for finding product-market fit and building a business that lasts.

Topics: Product-Market Fit|First Customers|Founder-Led Sales

Key Insight

Five SaaS founders demonstrate that finding product-market fit requires direct customer evidence before building, not after launching. Jeremy King hit $1M ARR in 8 months after interviewing 200 consumers at a train station, Rahul Vora created a four-step Product Market Fit Engine at Superhuman benchmarked to Sean Ellis's 40% "very disappointed" threshold, and Christian Owens built Paddle to nearly $100M ARR by monetizing from day one.

Key Ideas

  • Jeremy King interviewed 200 consumers at Waterloo Station before incorporating Attest, then reached $1M ARR in under 8 months
  • Melissa Kwan spent 2+ years building eWebinar without showing anyone, drawing on 1,000+ webinars from her previous startup Spatio
  • Christian Owens made money from day one with every business he built, including Paddle at nearly $100M ARR
  • Trevor Kaufman sold his house to keep Piano alive through years of market rejection before reaching $80M ARR
  • Rahul Vora's Product Market Fit Engine uses the 40% "very disappointed" survey benchmark to systematically measure and increase product-market fit at Superhuman

Key Lessons

  • 🎯 Validate by going to customers physically, not digitally: Jeremy King walked into two stores at Waterloo Station and interviewed 200 consumers in person before building Attest, proving demand existed far beyond corporate research departments.
  • 🛠️ Deep product experience beats surface-level research for finding product-market fit: Melissa Kwan did 1,000+ webinars at her previous startup before building eWebinar, giving her the nuance to know exactly what the product needed to be.
  • 💰 Monetize from day one to compound growth: Christian Owens built Paddle, his bundle business, and his invoicing software to make money immediately, using revenue to reinvest rather than chasing distribution first.
  • 📉 Selling your house is not failure - it is founder conviction under pressure: Trevor Kaufman funded Piano's payroll from his own pocket and sold his house, holding on through years of media companies refusing paywalls until the market caught up.
  • 🎯 Use the 40% benchmark to measure product-market fit systematically: Rahul Vora's Product Market Fit Engine asks users "How would you feel if you could no longer use the product?" and targets 40% answering "very disappointed" based on Sean Ellis's research.
  • 🔄 Segment users to find who really loves the product before building more: Superhuman's PMF Engine focuses on users who almost love the product but not quite, building specifically for them rather than reacting to the loudest complainers.
  • 🧠 Pragmatism beats perfectionism - solve the problem right in front of you: Christian Owens describes his success as treating business problems like any other problem, chipping away incrementally rather than getting fixated on a grand vision.

Watch the Episode

Chapters

00:00Introduction and episode overview
01:00Preview of the five founder clips
02:30Jeremy King - Attest: Zero to $1M ARR in 8 months
04:52How Jeremy validated demand at Waterloo Station
08:46Why Jeremy did the research for free
09:01Overcoming skepticism from store managers
10:50Melissa Kwan - eWebinar: Two years of building in silence
12:39Why Melissa refused to launch before the product was ready
14:15The cost of a bad first impression on early adopters
15:16How 1,000+ webinars gave Melissa deep problem understanding
17:24Managing competition anxiety while bootstrapped
18:46Financial projections as the real urgency driver
19:29Christian Owens - Paddle: Pragmatism and monetizing from day one
22:10How Christian approaches business problems incrementally
23:24The biggest pragmatist - solving what is right in front of you
25:07Every business must be a real business from day one
26:38Trevor Kaufman - Piano: Selling his house to survive
28:57Funding payroll out of his own pocket
30:03The belief that kept Trevor going through market rejection
32:38The power of taking one more step
33:20Rahul Vora - Superhuman: The Product Market Fit Engine
34:32Two years of coding with no launch
35:21Why Rahul knew they did not have product-market fit
37:03How Sean Ellis's research inspired the PMF Engine
39:16The four steps of the Product Market Fit Engine
43:27Closing thoughts

Episode Q&A

How did Jeremy King validate the idea for Attest before building the product?

King walked into two stores at Waterloo Station - Kiehl's and Links - and asked managers what they wished they knew about their customers. He then physically interviewed 200 consumers over two weeks, tabulated the data, and brought it back. The store managers called it the most useful thing that had ever happened to them.

How did Jeremy King take Attest from zero to $1M ARR in under 8 months?

After nine years as a McKinsey consultant, King compressed the typical two-year startup timeline into four to six months by pairing rigorous desktop research on TAM and competitors with hands-on customer interviews. He validated both demand and use cases before writing code, then moved fast once he knew exactly what to build.

Why did Melissa Kwan spend two years building eWebinar before launching?

Kwan had done over 1,000 webinars running her previous company Spatio, so she understood the problem deeply enough to know what the product needed. She spent an extra six months perfecting the last 2% because she believed getting the first audience back after a bad impression would be nearly impossible.

How did eWebinar grow to $750K ARR while bootstrapped?

Kwan charged from day one, leveraging her sales background to create value and convert users immediately. Her financial projections mapped out exactly how much revenue was needed each month to break even, turning urgency from competitive pressure into a practical financial discipline.

What is Christian Owens's approach to finding product-market fit at Paddle?

Owens treats business problems as just any other problem to solve incrementally. Each business he built - websites, invoicing software, software bundles, Paddle - solved a pain he personally encountered in the previous one. He insists on the minimum viable version that can be monetized from day one, not just the minimum viable product.

How did Trevor Kaufman keep Piano alive when no one wanted paywalls?

Kaufman funded payroll out of his own pocket and sold his house to keep the business going. His faith came from two sources: belief in his team's ability to build a great product, and a prior experience surviving the dot-com crash with a web development agency. He held on until media companies finally shifted to subscription models.

What is Rahul Vora's Product Market Fit Engine at Superhuman?

Vora developed a four-step system: survey users with four key questions (anchored on "How would you feel if you could no longer use the product?"), segment responses to find who truly loves the product, analyze what holds others back, and implement changes targeting users who almost love the product but not quite. The benchmark is 40% answering "very disappointed."

How does the 40% "very disappointed" benchmark predict product-market fit?

Based on Sean Ellis's research across hundreds of startups, companies with less than 40% of users answering "very disappointed" almost always struggle to grow, while companies above 40% grow most easily. Rahul Vora used this metric at Superhuman to track product-market fit weekly, monthly, quarterly, and longitudinally over years.

What do these five SaaS founders have in common about finding product-market fit?

All five prioritized deep customer understanding before scaling. King interviewed consumers in person, Kwan did 1,000+ webinars as a user before building, Owens solved his own pain points, Kaufman believed in the market thesis before customers did, and Vora built a systematic engine to measure and increase product-market fit. None relied on launching fast and hoping for the best.

Links

  • Attest: Website | LinkedIn | X
  • Jeremy King: LinkedIn | X
  • Omer Khan: LinkedIn | X
Full Transcript

Omer (00:09.760)
Welcome to another episode of the SaaS Podcast.
I'm your host Omer Khan and this is the show where I interview proven founders and industry experts who share their stories, strategies and insights to help you build, launch and grow your SaaS business.
Welcome back to the SaaS Podcast for all you regular listeners and viewers.
And a special welcome to you if you're joining us here for the first time.
So today we're going to do something a little different.
Over the past 10 years, I've had the opportunity to interview over 350 founders and entrepreneurs, delving into their stories, experiences and knowledge.
And these conversations have been a treasure trove of information and insights covering a wide range of topics relevant to the SaaS world.
So I thought it'd be both enjoyable and and interesting to look back over the last six months of interviews and hand pick some of the most valuable moments for you.
In this episode, I'm going to share five highlight clips that contain insights and lessons which I believe are going to be super helpful for early stage SaaS founders.
Now, let me tell you, it wasn't easy to select just five clips.
Every interview I've done has provided unique perspectives and pearls of wisdom, but these five highlights truly encapsulate some of the most valuable lessons that can help shape your SaaS journey.
So a quick sneak peek at the five clips.
First, we have Jeremy King, who achieved remarkable feat by taking his startup from zero to a million in ARR in less than eight months.
And the secret to his success was understanding his customers inside out.
Even before having a product.
You'll discover how his approach could be a game changer for your startup.
Next, we're going to hear from Melissa Kwan, an entrepreneur who defied the conventional startup wisdom.
Instead of rushing to launch, she embraced a patient and meticulous approach focusing on quality.
Her story is proof that sometimes taking your time and building something truly exceptional can lead to remarkable success.
You'll hear from Christian Owens, the founder and CEO of Paddle almost a hundred million dollar ARR SaaS company about his exciting perspective on business.
He's not afraid to start new projects and believes in making money right from day one.
You'll gain some valuable insights on taking that crucial first step towards finding a solution and get inside Christian's head about how he approaches building new businesses.
Then we'll delve into Trevor Kaufman's rollercoaster journey with Piano.
He faced numerous challenges, market rejection, and even had to sell his own house to keep the business alive.
But his story is a testament to the power of belief resilience and finding success against all odds.
Hopefully, you'll also be inspired by his unwavering determination.
Lastly, we'll explore Rahul Vora's journey with Superhuman.
He dedicated a year to truly understand his potential customer, developing a powerful system called the Product Market Fit Engine.
By focusing on early adopters who would genuinely fall in love with the product, Rahul has achieved some phenomenal growth and success with Superhuman, so I hope you enjoy the episode.
This first clip is a conversation with Jeremy King, the founder and CEO of Attest, a research platform that enables companies to engage directly with over 125 million consumers worldwide and do market research faster.
In 2015, after spending nine years as a McKinsey consultant, Jeremy decided to build a SaaS product that would make it easier for B2C companies to do market research.
He realized that often these companies were guessing what consumers wanted in instead of using market research data, and he was convinced that he could solve the problem.
His wife gave him six months to get the business going, so he knew he had to work fast to validate the idea, build a product and get paying customers.
The clock was ticking, but what Jeremy did next was surprising.
In this clip, Jeremy shares his unconventional journey of taking his SaaS startup from zero to a million in ARR in less than eight months and then eventually to eight figures in arrangement.
His secret?
Well, let's just say he went into stores at a train station and started asking questions and then spent weeks interviewing consumers gathering precious insights.
Now, you may be wondering why he would do that, and that's what makes this segment so crucial for early stage SaaS founders.
It's all about knowing your customers, validating your hypothesis, and uncovering the real world value of your product before you even have a product.
Okay, great.
So you've got the idea.
What kind of did you kind of take the McKinsey approach to kind of scope out the opportunity here and really do the research?
Before you started kind of jumping into building the product, how did you get started?

Jeremy King (04:52.870)
Very much so in that I did do the McKinsey thing, all the desktop research about the TAM, the opportunity, competitors, strengths, weaknesses, dynamics.
I was looking for not only a large tam, but also some significant tailwinds around business model, funding sources, customer needs, the development of technology, and also different scalable methods that we could put in place to cause this thing to work bigger and faster and more scalably than doing a sort of terrible quick and dirty version.
We sort of embarked to build the hard thing.
So I did all of the desktop work to discover roughly where to look what to build and what would have the greatest chance of success with the most positive forces behind it.
I then paired that with some pretty weird practical stuff.
So two stories here.
One, before starting even incorporating the company, I went out and did some practical work.
Second, I tried to set up to fast track the first two years of the company and compress that into about four to six months.
So on the first one, I have this hypothesis that most demand for research happens in the corporate head office in a really important function in the org chart where all the data happens.
But everyone in the org chart, deep down really wants research.
Everyone has questions, everyone needs answers, everyone wants to understand consumers better.
And so the total demand is much higher.
So to prove that, out I went to Waterloo Station.
I used to live around the corner during morning rush hours, afternoon rush hour and evening rush hours.
I went to two stores on the upper balcony of Waterloo Station and said, what do you wish you knew about your target customers in Waterloo Station that would be very valuable to you where you know nothing right now?
And out came this flood of mystery, intrigue and guesswork.
They said, okay.
And these two stores were Kiehl's Skincare and Links Accessories and interesting corporate gifts.
Completely butchered what they're called, by the way.
I don't even know what they do anymore.
So I went to the two store managers and they poured out all these questions.
It was very clear that they had demand.
What was also interesting is that their questions were remarkably consistent.
What's unique about Waterloo Station and the customers that come through here and their needs that's different from what our two shops stand for and the supply that we've got here?
What are the occasions people are buying for?
What stops them from coming upstairs to?
Do they even know we're here?
What should we sell to them that we can offer that we don't put in the front window or prioritise or emphasize right now?
What would get them to come upstairs?
What sort of offers do they have?
What occasions are they buying for?
This flood of demand came out, I was like, okay, interesting.
Immediately, these people who have no access to research have really valuable, important questions.
And there's a lot of consistency about their use cases.
So what I did was I promised these two store managers, I'm going to physically go out for each of you and interview 100 people each in Waterloo Station and ask them your most valuable questions.
I'm going to tabulate that data, I'm going to bring it back to you.
And I physically did that over the course of Two weeks.
And I tabulated the data, took it back, and they were like, this is the most useful thing that's ever happened.
And I think this will really help me and my store make better decisions about how we sell and serve these Waterloo customers.
I've always thought deep down that these customers want something different from Kiehl's or Lynx than we set out to create.
But yet head office don't let me do that.
Here is some evidence that will cause me to do ranging differently, to do promotions differently, to market downstairs and to spend some budget on that.
And I'll know roughly what the ROI needs to be for the first time.
Can I share this with head office?
Can we do this again for other stations?
Can I do this in more places and countries and use cases and product lines?
And by the way, we've got Easter coming up.
What can we do about that?
And so there was clearly hypothesis proven around more demand and hypothesis proven about everyone needs this, not just professionals doing research projects.

Omer (08:46.220)
Did you charge them for the work you were doing?

Jeremy King (08:48.060)
No, no, no, no.
The value I was getting was testing hypotheses for a test and also very early product prototypes around what do you need to know and how do you want to receive the data?
So if anything, I should have been paying them.

Omer (09:01.180)
So how did they react to you coming in?
It kind of sounds like a bit of a weirdo coming in, saying, asking these questions and saying, I'm going to not just interview 10 people for you, I'm going to spend two weeks and 100 people and come back and do all of this work and you don't have to pay for it.
Were they skeptical?
What was the reaction?

Jeremy King (09:24.240)
I think both of them were deeply skeptical.
They were like, who the hell is this guy?
And are you a mystery shopper?
Have you been sent here by firm legal to test our data security?
And then I tried to keep two motivations at heart.
So one is I tried to be very disarming.
So I tried to basically say, what's the worst that can happen?
And tell me some of your biggest problems.
You don't need to tell me all the biggest problems, but tell me the ones that you can actually learn from consumers.
I don't need to know why, I just need to know what you wish you knew.
That's the only thing I care about.
And I will promise to come back to you on this day, at this time, and I'm going to ask you when you're on roster, on shift here, and I'm going to converge to that time and I will be here.
I think the second thing that worked in my favor is I think they both fundamentally believed that I wasn't going to do it and they were like, yeah, yeah, I'll believe it when I see it.
So when I did come back, I think they were more shocked when I came back with real data and was happy to talk through it for an hour and a half each than they were shocked when I asked in the first place.
So using both of those things to our advantage, I always like to think about interest alignment.
Where are the fears and how can we preclude them or remove them?
And where are the interests around points of value and how can I align with them?
And both of those had a fear of losing data or doing something wrong.
Both of them had no belief I would come back.
So I tried to demonstrate to them I would come back.
And then when I did come back I really followed through and made it valuable to them and actually went and did the work and that helped melt away all of these concerns.
And that's some of the tactics that we still use in our go to market today.

Omer (10:50.320)
All right, in this next clip we step into the entrepreneurial journey of Melissa Kwan, co founder and CEO of e Webinar, a SaaS platform that lets you deliver automated webinars for sales demos, onboarding and training.
Prior to E Webinar, Melissa co founded Spatio, a check in solution for open houses used by Realtors, which she sold for a mid seven figure sum in 2019.
Just two months later she set her sights on E Webinar.
Beginning as a solo non technical founder, Melissa faced challenges in getting the product off the ground and her initial efforts with a development shop resulted in significant cost, time and even a lost friendship.
The interesting thing about Melissa's story is that her approach to building E Webinar goes against conventional startup wisdom.
She didn't subscribe to the launch fast and be embarrassed by your product adage.
Instead she adopted a strategy marked by meticulous patience, spending over two years developing her product until it met her high quality standards.
While some people might consider her approach counterintuitive in the fast paced startup world of SaaS, Melissa's strategy has proven itself.
E Webinar has grown to 750k in ARR so far and has got around 700 customers, all while being entirely bootstrapped.
In this upcoming clip, Melissa unpacks a unique approach.
She emphasizes the importance of understanding the problem at its core, using this understanding as a guide in product development, she talks about her unwavering focus on quality and the urgency being driven not by competition, but by careful financial projections.
It's a fascinating glimpse into the world of a startup founder unafraid to defy conventional wisdom.
So David comes on board.
You have a CTO back on the team.
What did you do next?
How long did it take to actually fix everything and get to a point where you were able to ship the product?

Jeremy King (12:39.300)
Probably another year and a half.
So there was a bit of overlap between David and the workshop and the dev shop, just trying to bridge things together.
But we built the product for, like, I think, two years before anybody saw the first version of it.
And I just went all in, right?
You know, people are like, oh, you should talk to your customers, show them things along the way.
I didn't do any of that because I knew this problem so well that I didn't want to be distracted.
And I think one of the.
I don't need to validate the problem.
The problem already exists, right?
There are other companies with similar products that have good businesses.
One of the best ways to validate your idea is the fact that someone else is doing the same thing, and you just know that you can do better.
So it took, yeah, a good two years before we.
We put it out there.
And because we are bootstrapped, it was particularly important to me that we start charging from day one.
And that, for me, is.
Is not as hard as for other people because I. I have a background in sales, right?
So I know how to create value and get people to put in their credit card, but it still has to be a good product.
And because I've sold business software for so long, I knew exactly what it would take for someone to give you their credit card.
So we probably spend an extra six months just going the extra mile, like, making sure the last 2% was perfect before I put it out there.
And the team was actually quite frustrated because they're like, why don't you just put it out there?
I'm like, I can't.
Like, it is so hard to get your first audience to come on board

Omer (14:15.570)
that if you show them something that's

Jeremy King (14:18.810)
less impressive than they.
What they expect, it's going to be extremely hard to get them back.
So I didn't want to put anything out there until I knew that somebody

Omer (14:27.260)
would pay for it.
Okay, so let's unpack that a little bit, because on the face of it, this is a conversation I've had countless times with founders, and sometimes not always, it turns out there was just this.
It was about perfection.
It Was this reluctance to just get this thing out there.
And they look back at it and they say, yeah, you know what, I could have probably done it in a third of the time if I could go back.
I think with your situation, there are a couple of things that I think are worth understanding.
When you said you really understood this problem well, how many webinars had you personally done before you started working on e webinar?

Jeremy King (15:16.130)
Wow.

Omer (15:16.330)
I can't, I can't even count the number.

Jeremy King (15:21.970)
But Spatio, I ran that company for five years.
Three of those years we had a product, and webinars was the only way in which I was able to deliver a demo.
Because you're not sitting beside someone.
Right.
When I say a webinar, I'm also counting like one on one meetings.
And I would do them every day.
Like, I did them every day for, for three years, whether it was a demo or whether it was a kickoff or some onboarding or new feature training.
Like, I was always using the webinar platform that sucked the least.
And it was like, go to webinar

Omer (15:57.089)
and join me, then zoom.

Jeremy King (16:00.090)
Right.

Omer (16:00.730)
Over a thousand, probably over a thousand.
So I think that that's important.
That's an important piece of information because people can go and look at a problem in a market and think they understand it, but maybe they've only spent a few weeks or months researching.
And there are so many nuances that, you know, if I went into the webinar space, I'd kind of say, well, I kind of know how webinars work and how to build a software and all of this stuff.
But there's so much nuance when you actually go through and do a thousand plus webinars as a user that you have such a deeper understanding of the problem and you've already gone out and researched and looked at other products and you were turned off by a lot of them because they didn't have that great first impression.
Right.
From what I understand.
So it kind of makes sense that you've gone through this.
You have this really deep understanding, this deep pain, and you want to get this right.
But then on the other hand, you told me earlier that, hey, I would hate the idea if someone beat me to this and got there first.
And so with that lens, it feels like, where was the sense of urgency to get this thing out sooner?
Because a lot can happen in two years.

Jeremy King (17:24.490)
Yeah.

Omer (17:24.850)
And I'm glad that not much did

Jeremy King (17:27.090)
happen in two years.

Omer (17:27.850)
Right.
Like, the first thing that you do, you incorporate a company and then what do you Go to like, what is that?

Jeremy King (17:33.390)
Google Alerts?

Omer (17:34.230)
Like, there's like a keyword thing where you can get like weekly newsletters or like a summary.

Jeremy King (17:40.510)
And then the second thing you do

Omer (17:41.670)
is you basically just keep an eye

Jeremy King (17:43.150)
on what's coming out on, on the web.
And every time I get this email, I'd be like, nervous, like, what else is out there?
And I'm constantly just looking for like webinar, webinar, automation, video, interactive video.
Like, I'm constantly searching.
I mean, the thing is the market is so big that there's, there's enough for everybody, right?

Omer (18:07.660)
You don't have to be the best

Jeremy King (18:09.940)
in order to get customers.

Omer (18:11.180)
You could be okay and still have like, find your tribe.

Jeremy King (18:13.900)
Right?
So part of me was worried that someone would do a better job than me, but part of me was like, the pie is so big that like, I don't have to really worry about.
I don't really let those things get to me.
But you obviously want to see like, what the market is doing, what your competitors are doing.
But I mean, when you're bootstrapped and when, when I say bootstrapped, like David

Omer (18:33.900)
and I both put in capital and

Jeremy King (18:35.940)
of course we, we don't pay ourselves.
I ha.
I still haven't paid myself.
It's been four years and we had some friends and family investment in the beginning just, just to get the, get the company off the ground.

Omer (18:46.620)
But there is like an end cash date where you're not going to have any more money.

Jeremy King (18:52.940)
That's the urgency, right?
And I'm like ocd about like financial projections.
One of the most valuable things that like somebody taught me in my previous startup was how to do financial projections.
So I always have projections two to three years out and I knew exactly how much revenue we need to make at which month to break even, how much things have to cost, like, who can we actually hire?
How much can we invest?

Omer (19:19.610)
So all those numbers were always in front of me.

Jeremy King (19:22.120)
So it wasn't so much like an urgency as it was like just a practical decision that you can't sit on something forever.

Omer (19:29.640)
The next clip is from an interview I did with Christian Owens, the founder and CEO of Paddle, a payments infrastructure provider for SaaS companies.
Christian started building websites when he was just 12 years old.
He walked into a local high street store and asked if they wanted him to build a website for them.
He.
His first customer was an Indian restaurant at 14 years old.
Inspired by Groupon, Christian persuaded a number of software vendors to participate in selling a discounted software bundle to their email lists and generated over a million dollars in sales.
Today, Christian is running a company that employs nearly 400 people, is close to $100 million in ARR, and has raised $300 million in VC funding.
Paddle also recently acquired ProfitWell in a deal worth $200 million.
But what makes this discussion truly special is is Christian's unique approach to business.
He views business problems as any other issue and has always been on the move to solve them.
This mindset, combined with his natural pragmatism, has played a key role in his success.
You know, to me, Christian stands out because he's not afraid to start new projects and he believes in making money from day one.
He doesn't obsess over making a huge hit straight away.
Instead, he's all about taking the first small step towards finding a solution.
Now, for early stage SaaS founders out there, this is a golden piece of advice.
If you're stuck in a rut, unable to start because the problem seems too large, or you're waiting for the perfect product idea, stop, listen and learn from Christian's approach.
It's not just about the end game.
It's about the journey and the incremental steps that you take towards your goal.
There's something about the way you think and approach problems that it, that, that kind of lets you move and start running with these ideas quickly.
So what is it?
Is it just.
You just.
Is it just a curiosity when you have something there and you're like, okay, I just want to go out there and see what it is?
Or do you just feel like you have a very high sense of confidence about yourself and your ability to go and do these things?
So what is it?
Because there's something about you with all of these examples that we've talked about that you come up with an idea and you just sort of, you sort of just start to run with it and a lot of other people might never do anything or they might be like, wow, that PADDLE idea.
Yeah, would love to solve that, but it feels so massive and it's such a pain and I wouldn't even know where to start.
So just, yeah, what goes.
When you think about these business opportunities, what do you think is the difference with you that makes you start running with the idea?

Jeremy King (22:10.740)
I think that I kind of see these sort of business problems as just any other problem.
And it's sort of like if you think about the I'm getting old enough that I can say the word career now, which is interesting.

Omer (22:26.260)
But like, if you think about the

Jeremy King (22:27.580)
kind of the journey of my career, it's been experiment with something, have an issue with it, try and solve the issue.
So it was build websites for people.
Someone asks for an invoice, don't know

Omer (22:40.030)
how to make an invoice.

Jeremy King (22:41.070)
Create a thing to help me make invoices.
Like, want to sell invoicing software instead of building a website for people.
Oh, what's the thing that I don't have?
I don't have customers.
Who has customers?
Other software companies.
Can we partner with them to get their customers?
Like building that business?
It's commerce is really difficult.
Okay, commerce is really difficult.
What's the solution?

Omer (23:03.290)
I don't know, but there is a solution.

Jeremy King (23:05.330)
I'm dealing with it today.
Other people must have this problem.
I'm going to go and try and build the product I wish I had when I was building that company.
So does that very much sort of like each subsequent thing is linked to the previous thing in terms of just general experiences, which I think has served me well.

Omer (23:24.050)
I think the second thing is I'm just deeply.

Jeremy King (23:27.100)
At the end of the day, people laugh at me.
I'm just the biggest pragmatist.
I am like, what is the most pragmatic solution to the problem that is immediately in front of us that we can go and implement?
And I get excited about dreaming about the vision of the thing that we could create as well.

Omer (23:48.060)
But I think the thing that a

Jeremy King (23:51.020)
lot of people do is they get

Omer (23:53.530)
so fixated on how the world will

Jeremy King (23:57.290)
look if everything that they are telling themselves that they need to believe in order to do this.
They get so fixated on the end outcome that they forget to start.
And I think that I get so excited about the end outcome that I can't wait to start.
I'm like, oh, if we did?
And I think it's probably because every subsequent thing has led to the next thing for me that I kind of realized that sort of these things are incremental and they ultimately compound.
Sort of like the business I run today is sort of orders of magnitude

Omer (24:32.250)
greater than the business that I ran

Jeremy King (24:34.490)
to begin with, which was building websites for people.
So I think it's sort of just being unafraid to kind of just chip away at a problem.
Like, the first version of HADL wasn't particularly pretty.
And to be quite honest, there was a part of my brain which was like, not even just every software company, every company in the world will use this one day.
But I didn't expect that to happen day one.
I was just excited that if I could those 20 people that I emailed, if 10 of them decided they were

Omer (25:06.170)
going to give it a shot.

Jeremy King (25:07.450)
So there was a deep kind of pragmatism in each of these things.
And I also think kind of even though this business is venture backed and we've raised $300 million from day one, there was a sense of this thing has to be a real business from day one.
Paddle made money when we signed the first customer who started using it and they started transaction through it, it made money from day one.
The bundle business made money from day one.
The invoicing software company made money.
So it was, I think, kind of the other flip side to the.
The thing I was saying earlier is I think that sometimes people get so fixated with the end goal that they

Omer (25:46.430)
forget that the first thing that they

Jeremy King (25:47.790)
create, the first iteration of it, also has to be a business.
And you see all of these companies who go for distribution and huge scale and they'll figure out how they monetize it later.
And maybe in the current market that we're in, that's changed a little bit.
But I think my approach was always the opposite.
It was always, it can't just be like the minimum viable kind of version of the idea, but it has to be the minimum viable version of the idea that we can monetize because it's only with creating something that is monetizable, that generates revenue, that we can take that revenue and reinvest it into creating something greater and that itself will compound.
So I think that's just sort of the framework, if you can call it that.
That is always sort of been the thing that I have used to sort of decide what the next thing to do was.

Omer (26:38.070)
All right, next up, we're diving into a chat I had with Trevor Kaufman.
Trevor is the CEO of Piano, a platform that provides paywalls, personalization, and analytics for hundreds of media companies and brands.
His journey is an incredible rollercoaster ride full of highs and lows that anyone thinking of starting a company should hear about.
Back in 2012, he found this tiny team of two who were working on a way to make small payments easier for people who created create digital content.
Seeing potential, Trevor invested in their idea and eventually stepped in as CEO.
A year and a half later, though, it was clear that their business plan would only work if they could get tons of customers.
So they switched gears and tried to sell their product to big media companies.
But this was a very tough move to make.
The big companies they approached either didn't want to sell subscriptions or had already come up with their own solution to make things worse.
Trevor was using his own money to keep the business alive and even having to sell his house at one point.
Fast forward to today and it's clear that Trevor's belief paid off.
Piano is now raking In a cool $80 million a year in ARR serves about 800 customers around the world.
They've got over 600 people on the team and have raised a whopping $222 million.
Trevor's story is a lesson on how tough it is.
Being an entrepreneur, he faced a market that didn't want what he was selling, but he held on, believing in the problem that he was solving with his team and the ability of his team to build a great solution.
His story is also proof that even when you're offering a solution to a problem that customers didn't know they even had, with the right mix of belief, tenacity, and resilience, you can turn the odds in your favor and find success.
You're running this business.
You are excited about the product and the opportunity.
You realize that the business model that you had wasn't working or wasn't going to be an interesting business.
So you switched to a SaaS model.
And there's the pains that come with making that transition.
And then you realize that this is a real.
You know, you're pushing a rock uphill trying to persuade these media companies to start charging for content because they're still going down the ad revenue path.
And how were you funding this business during that time?

Jeremy King (28:57.160)
I was paying payroll out of my own pocket.
So I had sold Schematic to wpp and so I had some money and wound up selling my house to fund the business.
And it was a tough time.
In retrospect, it was smart, but there was no proof.
It was difficult.
Yeah, I believe that it's easy to.
You're very lucky if you find something that customers believe that they want, but yet no one else has stepped in to fill that need.
Right.
So the only alternative is something they don't yet know they want.
Right.
And that's where we were.
We really believed that companies were going to have to charge for content, that there was going to be a subscription business, that we would be accustomed to paywalls in effect, everywhere, that there was a replumbing of the media, of the digital publishing business that needed to take place.
We feel like we're still in that process, but years ago, nobody agreed with us.
We were a little too early.

Omer (30:03.690)
Is that what kept driving you, that, that belief?
Because you're, you're going in and, you know, what I see is, you know, it's a startup trying to find traction, trying to get to product market fit.
Generally, the signs aren't that exciting when you're saying you're having 100 meetings and struggling to close one sale.
Was it that belief that kept you going and had you continuing to pour your own money into the business, or was there something else?

Jeremy King (30:35.690)
I'm really not sure, Omar, exactly why I kept going in the face of some pretty, some pretty clear market evidence that people didn't want what we had to sell at that time.
I think I'm maybe being too strident.
I mean, in Europe, clearly there was a more robust digital subscription content business than in the States.
And as we started to talk to companies in other countries, we got an inkling that what we did might be more valuable.
I guess I just, I had real faith in my colleagues.
I mean, I really thought that we could build a better product and thought that even if there were a lot of bumps in the road or twists in the road, I guess as we changed to different directions, that that team could build great stuff and that it was just a matter of us finding out enough in the markets, having people know about us enough and continuing to develop product that we'd eventually hit it.
And I think it was really that faith in the team that made me think we needed to keep going no matter what.
I should just also say, Omar, you know, I had an experience in the agency business.
You'll remember the dot com crash, right, in what, I guess 2002.
And really at that point, it's hard to imagine now, but the Internet seemed ridiculous to people, right?
It was after pets.com and like a great way to get fired at a company was to spend money on building a website.
Right.
And I had a web development agency at that point and, you know, we had the tax authorities come in and try and figure out how much they could liquidate all our monitors for in the middle of a workday.
One time in Los Angeles, and it was dire, right?
But, but yet we made it out of that.

Omer (32:30.340)
Right.

Jeremy King (32:30.540)
Eventually things turned around and I guess I just had faith that a similar, similar thing would happen with Piano.

Omer (32:38.580)
I think that's, that's one thing that I've seen in a lot of successful entrepreneurs is this, this ability to keep going, just taking that one more step.
I mean, obviously it doesn't always work out, but.

Jeremy King (32:53.620)
Yeah.
And there are some guys who do that and fail.
Right.
Terribly.
My, my friend Reggie, who started Cvent, you know, he was that business.
They went, almost went out of business and he was sleeping on friends couches.
And now it's a phenomenally successful Vista equity backed business.
And you know, Vista bought it for over a billion dollars.
And Reggie did great and good for him because, you know, he kept that going business going when nobody believed in it.

Omer (33:20.470)
Okay, in our final clip, we dive into an interview with Rahul Vora, the founder and CEO of Superhuman, a blazingly fast email experience that helps you save three hours or more every week.
After his prior company, Rapportive, got sold to LinkedIn, Rahul started noticing Gmail was becoming bogged down and slow.
So he decided to step up and tackle the issue.
But here's where things get interesting.
Instead of immediately diving into product development, Rahul took a whole year just to understand his potential customers.
And then after two years of coding, the product still wasn't ready.
The pressure to launch was growing and becoming intense.
But Rahul knew that without a clear path to product market fit, launching would probably be a disaster.
That's when he developed the Product market Fit engine, a system to define, measure and improve product market fit.
And that system has been key in helping Superhuman find product market fit fit, achieve impressive growth and raise over $125 million so far.
So let's tune in and discover how you can leverage the product market Fit engine to achieve product market fit and

Jeremy King (34:32.180)
fuel your growth in the summer of 2015.
14, depending on how you count it, we started much like any other company by writing code.
And in the summer of 2016, we were still coding.
And in the summer of 2017, we were still coding.
So as you might imagine, I felt this incredible intense pressure to launch, both from the team, but also from within myself.
Because after all, my last company, Rapportiv, had launched, scaled and been acquired in less time.
And yet here we were two years in and we still had not launched.
But deep down inside, I knew that no matter how intensely I felt pressure that a launch would go very badly, I did not believe we had products market fit.
It wouldn't be the Marc andreessen story.

Omer (35:21.270)
Why did you think that you've spent so much time, invested so much time in year one talking to customers, getting this information.
You spent a couple of years building the product.
I know you talked about the definition being subjective, but it sounds like you were doing all the right things, so why did you feel that way?

Jeremy King (35:38.550)
It's one of those things.
It's very similar to your question.
How did you know you wanted to be an Entrepreneur, I just knew it.
It was obvious to me that the thing that we had was good and had flashes of brilliance, but that it didn't yet meet the bar of an email client that people could switch to and then further meet the even higher bar of something that was special enough that people would stick with it.
And although I knew all of that, I couldn't just say the things I am just saying to you now, to the team.
These are folks who had poured their hearts and souls into the product.
They would say, well, Rahul, how do you really know?
Isn't the standard advice to be embarrassed about your product?
Shouldn't we just launch this and see?
And that's the thing that most startups do, they just launch it and see.
But if you're following along, the correct counter is most startups also fail.
So just because most startups do it, doesn't mean it's the thing that we're going to do.
Which is why, to bring it full circle, I set out looking for this way to define products market fit, for a metric to measure products market fit, and then ultimately for a methodology to systematically increase it, which is what I ended up coming up with.
Part discovery, part invention, and we call it the Product Market Fit engine.

Omer (37:03.800)
How did you come up with it?
I know you did a lot of research.
I know some of the ideas you got from meeting with Sean Ellis.
It sounds like there was almost like this research project going on trying to figure out how to do this.
Was there one or two particular places that you went to to get this, or was this just a process you had to go through to figure this out?

Jeremy King (37:27.400)
This was the kind of research or reading that I was just doing through the course of being a founder.
You know, I'd read Paul Graham's essays, I'd read Andreessen's essays.
Sean Ellis is all over the Internet and it's easy to find stuff that they write.
And it's interesting.
As a founder, I have a professional interest, you might call it, in how all of this stuff works.
But it is perhaps Sean Ellis who was the beginning of this trail.
And for those that don't know him, he ran growth in the early days of Dropbox and LogMeIn and Eventbrite and many other amazing companies, perhaps most famous for coining the term growth hacker.
Now, what Shaun found is a leading indicator of products market fit, one that is actually benchmarked and predictive.
You simply ask your users, how would you feel if you could no longer use the product?
And you measure the percents that Answer very disappointed as opposed to somewhat disappointed or not disappointed.
And here's the key thing.
After benchmarking hundreds of startups, Sean found that the companies that struggle to grow almost always get less than 40% very disappointed.
And the companies that grew the most easily, well, they almost always got more than 40% disappointed.
So in other words, if more than 40% of your users would be very disappointed without your product, you have initial product, market fit.
Now there's a lot more that the engine does.
It actually shows you how to optimize that, how to increase it.
It can even produce a roadmap that's essentially mathematically guaranteed to take you there.
Which may sound absurd, I realize, but if you take a look at the process, you'll see how it works.

Omer (39:16.020)
We'll provide some resources so people can go and if they're interested to understand this in depth, but in the next five or 10 minutes, I'd love to at least give people a distillation of those four steps.
I think that kind of make up the engine so people can walk away with just at least a high level understanding of what this means and how they may be able to use it.
Does that sound good?

Jeremy King (39:41.330)
Sure, that sounds good.
So there are four steps or five steps, depending on which version of this engine that you're using.
The first one is to survey.
So there is a set of four questions that we email to every user.
The one that I mentioned, how would you feel if you can no longer use the product?
But then three other very important ones.
What type of people do you think would most benefit from the product?
What is the main benefit that you receive from the product and how can we improve the product for you?
You're going to get a whole bunch of data back and then you want to segment.
The thing that you're trying to understand here is who are the people who, who really love your product?
And this is so important to do in the early days because if you're an early stage startup, you're going to have a whole wide spread of people and a lot probably of early adopters who, whilst they're enthusiastic, probably aren't very representative of the kind of customer that you ought to be going after.
So you end up segmenting, you're looking for pockets of those responses where people really, really love your products.
And in the course of doing this, you'll actually develop what I call the highest expectation customer.
This is where that Nicole example from earlier in the episode came from, actually.
It was from this exercise and what you're then able to do is simply by choosing to ignore certain segments and focus on others.
Increase the metric, increase the percentage of people who would be very disappointed without your product.
Once you've done that, you then go step three, which is to analyze.
And there are really two things that we're trying to understand here, which is, number one, why do people love our products?
And number two, what holds people back from loving our products?
And there's a whole bunch of analysis you can do here.
It's rather fast.
It doesn't take that long these days.
It's very easy with some of the tools available online.
And I believe now there are actually startups that exist that have taken this whole process and turned it into a product.
You can now do the products market fit engine with products, which is pretty cool to see.
But that brings you onto step four, which is to implement.
At this point, you understand why users love your product.
This is what we call a core benefit for Superhuman.
That'll be things like speed, keyboard shortcuts, time saved, aesthetics.
And you also actually understand what's holding people back from loving your product.
Now, there's a very important nuance here, which is most companies will just go and talk to their users and their users will complain loudly and then they'll start to build those things.
But the problem is, if you do that, you often end up with an insipid, almost confused product that isn't for anybody in particular because it's sort of driven by the people that you happen to have as early users.
Whereas if you follow this algorithm, you end up specifically building for the people who almost love your products, but not quite, and for whom the main benefit resonates, such that if you build the things that are holding them back, you know that they'll go into the very disappointed camp.
In other words, you know that they'll become your perfect type of user, the kind of person who loves your products for the reason that they ought to, and they'd be very disappointed without it.
And that brings me then to the final step, which is track.
This framework will work, but there are no silver bullets.
And I recommend tracking this product market fit score and running the process regularly.
We track it every week, we roll it up to every month, we roll it up to every quarter, we look at it longitudinally over years, and it's a process that we've been running at C Superhuman since then to this very day.

Omer (43:27.470)
All right, thanks for listening.
I hope you enjoyed this special highlights episode.
If you like this format and would like to see me do this regularly, maybe once every quarter, then let me know, drop me a mail or reach out to me on Twitter or LinkedIn.
Also, I'd love to hear from you like what's your feedback on this format?
What did you like about it?
What do you think I could improve to make this even better in the future?
Love to hear from you and figure out whether this is worth doing and if so, how do we make this better and better.
So thanks again for listening.
As always, I appreciate you and your support.
Cheers and all the best.

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