How to Validate a SaaS Idea Without Pitching
Most founders try to validate ideas by pitching them. Marius Meiners flipped that - he showed a V0 prototype and asked for letters of intent. 8 LOIs before any

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Marius Meiners hadn't written a line of code in four years. He'd burned through several startup ideas at Antler's Berlin program. Then ChatGPT launched search, and Marius bet everything on AI search optimization for marketing teams.
In this episode, Marius reveals how he built Peec AI's MVP with V0 in just a day and a half, signed 8 letters of intent before writing real code, and grew the company to $8.6M ARR in 14 months while pricing at €85 a month against competitors charging $500+.
Marius Meiners is the co-founder and CEO of Peec AI, a platform that helps marketing teams track how their brands appear on AI search tools like ChatGPT, Perplexity, and Gemini. After studying economics, working in venture capital and M&A at PwC, and joining Antler's Berlin cohort, Marius found himself with no team, no idea, and four years removed from writing any code.
Then in late October 2024, ChatGPT launched search. Marius saw it and decided this was going to change everything. The smartest SEO experts in the world were already obsessed with it. The signal was loud. So he turned to AI search optimization as the wedge - a category that would explode as marketers scrambled to figure out how to get cited by AI assistants.
He vibe coded the first prototype with V0 in a day and a half. Eight customers signed letters of intent based on it. Antler wrote a 100K check. His CTO joined and built the real product in six weeks. Peec launched in February 2025.
Then came the bet. Their biggest competitor had raised five times more money and was chasing the world's biggest brands. Marius made the opposite call. Peec priced at 85 euros while competitors charged over 500. For six months, Marius and the team ate two-euro canned food every day, wondering if the mid-market AI search optimization play would ever pay off.
Today Peec has over 2,000 customers, $8.6 million in ARR, and a team of 55. All in 14 months. AI search optimization went from speculation to a live revenue channel - 20% of Peec's own conversions now come through AI search itself.
Peec AI grew from zero to $8.6M ARR in 14 months by building an AI search optimization platform priced at €85 a month - undercutting competitors charging €500+. CEO Marius Meiners shipped the MVP with V0 in 1.5 days, signed 8 letters of intent before writing real production code, and now sees 20% of conversions come through AI search itself.
🚀 Use AI to compress validation timelines: Marius built the Peec AI MVP with V0 in 1.5 days and signed 8 letters of intent before writing production code. Modern AI tools turn idea-to-validation from months to days.
💰 Mid-market pricing wins when competitors fight enterprise: Peec priced at €85 a month while competitors charged €500+. AI search optimization at the mid-market price point captured 2,000 customers competitors ignored.
🎯 Letters of intent beat verbal validation: Asking "would you sign an LOI?" filters out polite enthusiasm. Marius signed 8 LOIs from a V0 prototype - real signal that the AI search optimization problem was acute enough to pay for.
⚡ Speed is the moat for AI-era SaaS: Idea in October 2024, launch in February 2025, $8.6M ARR by April 2026. In emerging categories, the founder who ships weekly outpaces the founder who polishes.
🧠 Scrappiness has a shelf life: Eating €2 canned food works at zero revenue. At $8.6M ARR with 55 employees, scrappiness becomes a bottleneck. Most founders break their company by clinging to it past its expiration date.
🚀 Build with AI search optimization in mind from day one: 20% of Peec's new conversions now come from AI search itself. Founders who do not structure content for AI assistants are leaving meaningful pipeline on the table.
Most founders try to validate ideas by pitching them. Marius Meiners flipped that - he showed a V0 prototype and asked for letters of intent. 8 LOIs before any
Marius Meiners' biggest competitor raised 5x more capital and chased Fortune 500. Peec AI priced at €85 vs €500+ and won 2,000+ mid-market customers.
Marius Meiners cycled through several startup ideas at Antler before landing on Peec AI. His framework: kill ideas in 30 days, not 12 months.
Most bootstrapped founders treat scrappiness as a permanent virtue. Marius Meiners learned the opposite the hard way. Scrappiness has a shelf life.
How did Marius Meiners build Peec AI's MVP without writing code?
He used V0 to vibe code the prototype in a day and a half, then showed it to potential customers and signed 8 letters of intent before writing any production code.
Why did Peec AI price at €85 a month when competitors charged €500+?
Marius saw enterprise-only competitors leaving the entire mid-market exposed. He bet that 100-200 person companies needed AI search optimization just as much as Fortune 500 brands, but at a price they could approve without procurement.
What does AI search optimization actually mean for marketing teams?
It is tracking and improving how a brand shows up on ChatGPT, Perplexity, Gemini, and Google AI Mode. Peec measures visibility, position, and sentiment across six AI models and surfaces a prioritized list of actions to fix gaps.
How did Marius Meiners validate Peec AI before building the real product?
Instead of pitching an idea, he showed potential customers a working V0 prototype and asked for letters of intent. 8 marketing teams signed within weeks - hard signal that the AI search optimization problem was already painful enough to pay for.
Why does Marius say pitching is the worst way to validate an idea?
Pitching makes you the salesperson. Asking for an LOI makes the buyer the seller. Marius asks "would you sign a letter of intent if we built this?" instead of "would you buy this?" The first question filters out polite enthusiasm.
How did Peec AI hit $8.6M ARR in 14 months on a single seed round?
By pricing at the AI search optimization mid-market sweet spot, shipping product weekly, and converting trial users with same-day support. Peec adds 300+ customers per month at unit economics that work from day one.
What does Marius Meiners mean when he says scrappiness has a shelf life?
Eating €2 canned food and shipping fast worked at zero. At $8.6M ARR with 55 people, the team needs systems, hiring discipline, and product management. Most bootstrapped founders cling to scrappy too long and break their company on it.
How is Peec AI competing with Profound's $155M war chest?
Profound chases Fortune 500 logos at enterprise price points. Peec serves the entire mid-market at €85 to €425 a month with a faster product cycle. Different tier, different motion - they are not in the same dogfight.
What's Marius Meiners' AI search optimization advice for founders without budget?
Track which AI assistants surface your competitors' answers, then reverse engineer the citations. Most AI search optimization is winnable with structured content, named-entity statements, and answer-shaped pages - not a tool subscription.
Omer Khan [00:00:03]:
Welcome to the SaaS podcast. I'm your host, Omer Khan. AI has changed the playbook for building and growing SaaS. Every week I talk to founders who are writing the new one. My guest today is Marius Meiners, the founder of Peec AI. He built it from 0 to 8.6 million in ARR in just 14 months.
Omer Khan [00:00:23]:
Peec helps brands see how they show up in channel ChatGPT, Perplexity and other AI search tools and how to get cited more often. But when Marius started, he had no team, no real product idea. He hadn't written a line of code in four years and his first few startup attempts failed.
Omer Khan [00:00:43]:
In this episode, Marius breaks down the prototype he built with AI in just a day and a half. How he used it to sign eight letters of intent and before building any production code, why he decided to charge €85amonth when his competitors were charging well over 500.
Omer Khan [00:01:02]:
And how 20% of Peec's new customers come through AI search itself. So I hope you enjoy it. All right, Marius, welcome to the show.
Marius Meiners [00:01:12]:
Thanks for having me.
Omer Khan [00:01:13]:
My pleasure. So tell us about Peec. What does the product do, who's it for, and what's the main problem you're helping to solve?
Marius Meiners [00:01:21]:
So Peec is a AI search analytics product, which means that we help companies understand how they're performing on AI search as a marketing channel. So how their companies show up on ChatGPT, Perplexity, Gemini, ET cetera.
Omer Khan [00:01:31]:
Great. Now, the business was, I mean, you launched a business like just over a year ago, is that right?
Marius Meiners [00:01:38]:
Yeah, so we started in, I think 14 months ago in January 6th, and then we launched one month after that in February. And. And now we are at a little bit over 2,000 customers and 8.6 million ARR and 55 team members.
Marius Meiners [00:01:52]:
So it's been a really, really intense 14 months and a crazy journey and we're super excited to be as far as we are today.
Omer Khan [00:01:58]:
That's awesome. Let's start with your story where because you have an interesting background and I want to talk a little bit about that. At what point?
Omer Khan [00:02:07]:
At one point you were doing pretty well in terms of esports and you were big time into League of Legends and then you ended up at PwC and then you're building a startup. So just tell us about that. How did you go from sort of playing League of Legends to building this startup?
Marius Meiners [00:02:32]:
So I always say I have the most random life ever. So essentially how I grew up as I was really sick as a child and couldn't really go to school, and then through that kind of played video games extensively, like throughout the day, like all day, all the time.
Marius Meiners [00:02:45]:
And at some point started to take it more serious. So between like 12 and 17 I didn't go to school basically at all and played league basically from the moment I woke up to the moment I went to bed and to sleep.
Marius Meiners [00:02:57]:
And then at some point got like top 100, played lots of tournaments, started streaming on Twitch. It really enjoyed my time playing esports. I think it was a really, really cool experience.
Marius Meiners [00:03:07]:
Specifically getting so good at something teaches you a lot of lessons on how to get good at anything else and I really enjoyed it and I think it really created a good foundation for me to succeed as a person.
Omer Khan [00:03:18]:
Yeah, and then you were at PwC.
Marius Meiners [00:03:21]:
Yeah, so I was 17, I had a surgery, then I could live a more normal life again. And then decided like, hey, I'm done with esports, I want to have a normal career. And then got into software development.
Marius Meiners [00:03:30]:
So I actually built software for startups and scale ups which was fun but it never really was super fulfilling to me. I always liked thinking about the business problems more than the engineering problems where working in startups. And then I said, hey, if this is more like my natural interest then I should pursue this direction more.
Marius Meiners [00:03:46]:
So I redid all my school degrees which was quite a grind and then decided to study economics at the worst university in Germany because I couldn't get into any of the good ones because I had no school degree, basically a very, very shit one.
Marius Meiners [00:03:57]:
And then I randomly worked my way into a very small VC and doing some investments from pre C to series A into early stage startups.
Marius Meiners [00:04:07]:
And then through that experience I managed to land a role at PwC eventually and practice where I did mostly like yeah, M and A, so like buying and selling early stage companies, helping founders on fundraising, but also investing in VCs as a limited partner together with family offices and corporates was really cool.
Marius Meiners [00:04:23]:
So I got to see like the industry from multiple angles. Being in a startup, investing in startups, selling startups, buying startups, investing in funds. So I always wanted to start a business that was always my dream.
Marius Meiners [00:04:33]:
And then at some point I felt ready to say hey, now I have seen this industry from all the angles that are interesting. I feel ready to go out and do my own thing.
Omer Khan [00:04:41]:
So tell me about the moment that you had that aha moment for this idea and actually before we talk about that, you got into an accelerator antlers and you went through several failed attempts to build a startup. Tell me a little bit about that. Like how many different attempts did you have before you found Peec?
Marius Meiners [00:05:06]:
For sure. So the synonymous for Antler works in a way where it's different than where I see where you in YC you apply with a team and with an idea. And at Antler you can also apply as an individual with no idea or with an idea.
Marius Meiners [00:05:17]:
And then I really went there because I had no team and I wasn't completely sure what I wanted to work on. And then I had this rough pitch that I would give in my enter interview for this topic which then three weeks into Antler completely fell apart because the legislative environment for it changed dramatically in that time.
Marius Meiners [00:05:33]:
And really early on I connected really well with my co founder Daniel, who was also part of the who I think we had very similar energy and vibe and really liked each other. And he's like a super, super hard working, intelligent guy. And we then started iterating through different ideas.
Marius Meiners [00:05:49]:
Our other co founder Toby was also in our Antler badge, but he actually worked on something else at the start of a different team. And Daniel and me went through legal tech, which made sense because Daniel had studied law and legal tech with AI started become like a thing.
Marius Meiners [00:06:04]:
Then we looked at regulatory technology with AI which actually like the idea we worked on. Now also multiple people are doing, but we couldn't really find something where we had the feeling of like, okay, we really have like a market pull for this.
Marius Meiners [00:06:19]:
Which is then why we ended up kind of like always dropping it after two, three weeks. And I think what I learned the most in that time is that people really don't want to buy stuff they don't really urgently need in a B2B setting. And it's really about finding demand much more than it is about creating supply.
Marius Meiners [00:06:37]:
And we really learned that firsthand by trying to sell something. So our idea was always like, hey, let's do it. Sales first. Let's always try to sell even if we don't have it. Let's just try to sell like the vision and like the idea and then build it once we have it.
Marius Meiners [00:06:50]:
And yeah, you can just tell that people, you know, they are really unexcited about buying something they don't need. If it's something they really need, they're actually excited to buy it, even if it's really shit.
Marius Meiners [00:06:58]:
So even if the product is like an absolute like alpha version of it, if people really need what that product can deliver, they will still pay for it.
Omer Khan [00:07:05]:
So I often see founders trying to validate an idea and maybe spending six months, even 12 months trying to do that. And you guys were going through this ideas in two or three weeks.
Omer Khan [00:07:16]:
So tell me about how you did that, how you were able to get to a point that you were like, okay, now we know enough that we can kill this idea and move on to something else.
Marius Meiners [00:07:30]:
We also read all these books that are kind of out there about the mom test and all these things. I think they were all pretty helpful. I think actually what helped me really the most is there's one guy, I think he's from Harvard, I can't recall his name right now.
Marius Meiners [00:07:44]:
And he really developed a lot of these ideas that we then also incorporated as into. You cannot really create something on the market. There has to be a very, very strong pull from the market. And that's kind of what we were looking for.
Marius Meiners [00:07:54]:
And you can tell that actually pretty early on in your journey of validating idea, if people are just excited about it, they just want to talk it.
Marius Meiners [00:08:02]:
For example, with AI search, at the time when we started working on that idea specifically, it was already a topic for the, I would say 1 2% of the best SEO people on the world. They were already very actively discussing and thinking about it.
Marius Meiners [00:08:14]:
So if you would catch one of them, they would get very excited about the topic and they would always pitch us like, hey, our field is really going to change type of idea.
Marius Meiners [00:08:22]:
And that made us really excited because we were like, if the top people already believe it, then we believe that would also trickle down from there to the rest of the ecosystem and the industry.
Omer Khan [00:08:32]:
So with some of those earlier ideas, were you doing like cold email outreach and everything?
Marius Meiners [00:08:39]:
Yeah, we really did everything. So our idea was, obviously, we'll do whatever it takes. If it's going to be like doing like 100 cold calls per day, then that's what we want to do. So we tried everything from meeting people in person, writing people on LinkedIn, writing cold emails, sending people loom videos.
Marius Meiners [00:08:56]:
So we would just record like a loom video and that's like this hack. I think many people do this now, but at the time was new, where you pull up someone's LinkedIn, you become call it a loom video with their profile open and then you send them to it.
Marius Meiners [00:09:07]:
And then in the preview, they see their own LinkedIn profile and you talking about it. And this would always make them click on it because people want to see what you say about the LinkedIn profile. So they're very actively click. I think at the moment, now it's already done. I think people have done this too much now.
Marius Meiners [00:09:20]:
But at the time, it worked really well. So just finding these really hacky ways to get in touch with people, I think at the start is very much required. And you just got to be creative.
Omer Khan [00:09:27]:
So it's easy to kill an idea when you send out 200 emails or do cold calls and no one's interested. Right. That's an easy signal. But quite often what happens is you get mixed signals. You get a lot of people who are not interested, but you get some people who seem kind of interested.
Omer Khan [00:09:46]:
And I want to understand how you figured out whether there was enough demand there to keep pushing the idea. And then maybe after that, we can talk a little bit about how it was different when you started talking to people about Peec.
Marius Meiners [00:10:05]:
Yeah, I think the counterintuitive realization that we had is that to validate an idea, what you need to be doing is you need to not pitch the idea. So basically, if you want to understand, hey, is AI search the number one topic that SEO people think about?
Marius Meiners [00:10:18]:
Then the worst thing you can do is be like, hey, this is like my AI visibility product. Would you like talking about it? Because then you, A, only select the people that are interested in already that solution, and B, your feedback will be very skewed.
Marius Meiners [00:10:31]:
What you should do instead is you should be like, hey, you're an SEO professional. I'm trying to build something in the SEO space. Do you have, like, five minutes to chat? And then be like, hey, what is, like, the number one thing you're thinking about right now?
Marius Meiners [00:10:41]:
And if reoccurringly you hear the number one topic that they think about be AI search, then you know you really have a topic that people actively want to work on. Right. And then you can start asking questions like, what have you tried to solve this problem? Like, how many AI search products have you looked for?
Marius Meiners [00:10:55]:
Have you looked for any? Have you tried to buy one of the ones that you bought? What did they not deliver? Well, so you need to kind of get them to organically produce this kind of output versus then asking directly about it. And that really gives you very honest feedback.
Marius Meiners [00:11:11]:
And if you talk to 50 people and for no one of them, AI searches their number one topic, then it's just not interesting enough.
Omer Khan [00:11:17]:
Great. And then, so when you came up with the idea for Peec, the response was clearly different. And how, how soon were you able to say to yourselves, with confidence, this is the thing we need to pursue?
Marius Meiners [00:11:32]:
At some point we just decided like, hey, this is as good of a shot as we were going to get from the response we've Gotten back from the markets, we just decided to run with it and I think it was good enough for us to commit. So we just said, hey, like this is, this is good enough.
Marius Meiners [00:11:46]:
And you will never get to like a complete 100% confidence, especially at the start. So you also have to believe in it somehow. And we believe kind of like in the fundamental idea that AI search would really change the search environment.
Marius Meiners [00:11:56]:
So we believed in that macroeconomic trend and we saw the market demand and then we were like, okay. These factors combined make us confident enough to kind of double down. And of course at the start the market wasn't there yet completely, so it had like some catch up to do. But it got there very fast.
Marius Meiners [00:12:13]:
For example, when we launched in February, the topic was still very, very niche and only a few people were really interested in it, but it was the very smart people. And they also predicted that this would be a very important thing that would happen on the market.
Marius Meiners [00:12:25]:
And then three months later the ecosystem had changed so much that basically everybody was interested and we were flooded with interest and demo calls and inquiries and stuff.
Omer Khan [00:12:36]:
So how much did you know about? Well, first of all, what's the term? We talked about this earlier. Is it geo? Is it aeo? What's the term that you use?
Marius Meiners [00:12:47]:
So we use Generative Engine Optimization, geo, but we also don't really care. We will call it whatever people call it. We have no take on what it should be called. And to your question as to how much we knew about it, so very little, to be honest. We're not SEO professionals.
Marius Meiners [00:13:01]:
From our history, Daniel and me specifically Toby a bit more than we are. He worked in Sea so search engine advertising for a bit. But Daniel and me is very curious about consumer. We really like consumer stuff.
Marius Meiners [00:13:15]:
When we walk together through the supermarket, we'll always be like, oh my God, this could be a new cool pasta brand. Or how do people like this trend and this trend? So we were all very interested in consumer and of course I'm very interested in AI.
Marius Meiners [00:13:26]:
So it was pretty natural for us to look into what's happening with AI and consumer. And this was one of the things we looked into.
Omer Khan [00:13:33]:
So let's break it down a little bit. So for a founder who doesn't understand much about GEO other than, you know, they, they're starting to think about it that I need to get discovered more in ChatGPT or Perplexity or wherever, just break it down for us. Like what makes an LLM pick one product or brand over another?
Marius Meiners [00:14:00]:
Right. So basically it's a Combination of different things. And it also depends, kind of like how the LLM treats the question that's being asked. So it can, one can do one of two things. It can look at the question, decide that it can answer that question from its foundational training data and then give an answer.
Marius Meiners [00:14:17]:
Or it can go, ha, this is actually a very difficult question. Let me do some web search, then pull all the results I can find on the Internet, kind of go over them, read them, and then decide what my answer is going to be.
Marius Meiners [00:14:27]:
If we purely talk about the foundational training data response, then of course getting in the training data is very, very important.
Marius Meiners [00:14:33]:
And if we talk about the web search response, then kind of being in that step where the LLM goes out and discovers content and then also being represented well on those sources that the LLM pulls in, that gets you in the answer, essentially.
Omer Khan [00:14:48]:
And so what should a founder be thinking about doing? What's the free solution? If I wasn't using Peec or some other product, what are some of the fundamentals that I should be ensuring that I'm doing with my product, my marketing side, anything else?
Marius Meiners [00:15:07]:
I think the number one thing is actually understanding, is this even relevant for you? Right. So you definitely shouldn't be spending time on stuff that's not relevant for you as a founder. So what I would do is to think about where are my customers spending time? Are they spending time on ChatGPT?
Marius Meiners [00:15:19]:
I think for like B2B SaaS software, this is very common. A lot of B2B SaaS buyers spend a ton of time on ChatGPT researching products, and then you should think about what they're asking. So what could a potential customer be asking on ChatGPT? For example?
Marius Meiners [00:15:31]:
Let's say you have like a niche solution for like, I don't know, like procure, procurement optimization or something like that. Then you want to definitely be found. If a customer asks what is the best solution for procurement optimization in SAP or something like that.
Marius Meiners [00:15:45]:
And then what you can do is you can try to understand if you're already in those answers by opening an incogno tab and just putting it into it a couple times and seeing what the result is.
Marius Meiners [00:15:54]:
This can be very skewed, which is of course why a product like ours is very much recommended to really get a full sense of how you are performing on a day. Differentiated set of prompts, that's not just one prompt, but maybe like 50 or 100 or 200.
Marius Meiners [00:16:06]:
And then once you have that data on if you're appearing or not, you need to start to understand where's the model pulling information from. For B2B SaaS brands, this may be a couple different sources. This may be like Reddit at the moment. That's quite an important source to be present in.
Marius Meiners [00:16:20]:
And then if you discover something like Reddit to be an important source, then of course you can start to form a marketing strategy around that and say, hey, maybe I should engage in these communities on Reddit that are talking about my space and kind of get my product out there or my name mentioned there.
Marius Meiners [00:16:33]:
And that can be a starting point for your, I would say, like, geo strategy.
Omer Khan [00:16:37]:
You know, what strikes me is that this is becoming increasingly important. I mean, we've heard people say, you know, Google search is dead. And it's not really dead, it's declining. And the amount of searches that people are or search traffic that they're getting from LLMs is increasing.
Omer Khan [00:17:00]:
But I think even maybe Gartner said that by end of next year it might be like 50, 50 or something like that. So anyway. But there's definitely like, you know, a clear growth here.
Omer Khan [00:17:14]:
And to me, it strikes me like the product needs to be pretty sophisticated to be able to pick up all of these different signals and intent and everything and show your customers reliable information, to be able to make the right decisions. But how do you go about building a product like this?
Omer Khan [00:17:38]:
You don't have experience in the space, right? You're like just going through different ideas, different domains, all of this stuff. And then I came across, when I was doing research for this interview, it was like you built your, essentially your MVP and one and a half days, right? So tell me about that.
Omer Khan [00:17:54]:
Like, what did that first version of the product do? And how did you, how did you build it?
Marius Meiners [00:17:58]:
Right. So we are basically in December, two months after starting Antler and Toby was still working, like, our third co founder was still working with this other team. So we didn't really have like someone super technical on the team.
Marius Meiners [00:18:09]:
And you know, I worked as a software developer before, but at that point it's been like four years since wrote like the last line of code. So I just took V0. I was like, hey, we just got to get it done. I Vibe coded the first prototype.
Marius Meiners [00:18:21]:
We used that prototype to raise the first like 100k from Antler, which on the SE they committed to us. And we, I think we closed like eight or nine, like Lois with customers based on their prototype to be like, hey, if you build this, are you guys actually going to buy this? And then they said, yeah, sure.
Marius Meiners [00:18:37]:
And so we made them send an LOI for that and then we convinced hubby to join afterwards. And then he of course took over kind of like the technical implementation of the actual product. And he's just amazing. He's super strong technically. And then he built the product in six weeks, which was also crazy, crazy fast.
Marius Meiners [00:18:56]:
And then we started selling basically right away.
Omer Khan [00:18:58]:
You used V0 for that MVP. What did it actually do?
Marius Meiners [00:19:04]:
So basically what it would do, it would allow you to put in like a set of prompts so you could enter like, I don't like 50 prompts, for example.
Marius Meiners [00:19:12]:
It would then go to the LLMs APIs and then it would put in this prompt, it would extract the response and it would show you which brands are showing up and how they're being talked about.
Marius Meiners [00:19:22]:
So it would rate kind of like the sentiment about the brand between 1 and 100 and it would show you which brands are being mentioned. And that's basically all the product is at that point. But that is still like a core functionality of the product today, right?
Marius Meiners [00:19:33]:
Like, of course, like you need to know which brands are being mentioned and how they're being mentioned. So I would say the product roadmap for our space is actually pretty clear, similar to, I think, how, if you think about Neobanks, for example, the product roadmap from NeoBanks is also very clear.
Marius Meiners [00:19:49]:
When Trade Republic started in N26 and also Robinhood and stuff, to a degree, I think if you ask all those founders, hey, what is the product? For the next five years, it was very obvious someone's going to do a foreign exchange product, a credit card product, an insurance product, all these different product lines.
Marius Meiners [00:20:04]:
And similar to us, we and our competitors, they had all the same ideas. And then it just became about, how do you execute this the best and who can build the company the fastest, who can hire other people, who can raise the money and who can build the best product and convince the customers to join.
Omer Khan [00:20:19]:
The MVP gets built very quickly, the prototype and what I want to try to figure out is where did those first 10 customers come from and who were they? What type of companies or buyers were those initial customers?
Marius Meiners [00:20:39]:
So we went the path of least resistance by trying to find customers that were then at that point most willing to buy. So we just looked at like, who's talking about this problem the most on social.
Marius Meiners [00:20:50]:
So when someone would post something about our space on social media, like on LinkedIn, on X, we would just try to approach them with the solution at that point, because we already validated this space going and now it's about selling the product. And those were like very warm leads. Right.
Marius Meiners [00:21:02]:
Because they actively talk about this problem and that we found, I think our first end customers by someone that's been like, hey, AI search is going to be important, blah, blah, blah. And they were like, oh, that's very cool.
Marius Meiners [00:21:11]:
We actually worked on this and now we have this product like, do you want to try it out for free? And then at some point, you know, seven days later we asked them like, hey, okay, we can all pay for it. So I think that's the route we went.
Omer Khan [00:21:22]:
What was the pitch to those initial customers that signed the letters of intent? The Lois, they weren't looking for GEO tools. I know it was very early in the space. I'm not even sure they really understood that there was a problem or a solution that they needed to focus on.
Omer Khan [00:21:46]:
So I'm just curious, what was the pitch that you gave?
Marius Meiners [00:21:49]:
Pitch that we gave was basically, hey, this might be a channel you can make revenue through, so wouldn't it be nice if you could tell your kind of like board or CMO how you're performing in that new channel? And that was kind of the pitch we delivered. And some people took it.
Marius Meiners [00:22:03]:
Not everybody, of course, was very hard to pitch it at that point because I mean, there was basically no revenue being generated at that time. So they had to also believe that this would become important. And that's kind of like how we needed to position it back then.
Omer Khan [00:22:15]:
And then once they responded, you would go and show them the prototype that you'd built in one and a half days and then get them to a point where they would sign a letter of intent.
Marius Meiners [00:22:28]:
Yeah, and of course also letters of intent in general are pretty worthless. They're legally non binding.
Marius Meiners [00:22:34]:
But at least it sets the stage as, hey, they are so interested that they would at least like go into DocuSign, they would read through the LOI, they would make sure it's actually non legally binding and they take the risk and they, you know, click, click, sign.
Marius Meiners [00:22:44]:
And I think it's at least like some level of commitment that you're trying to get there. But I do want to emphasize, like nothing beats someone paying.
Marius Meiners [00:22:50]:
Like that is definitely the only real validation that you can get from, from a, from a potentially interesting customer or lead is by them actually, you know, taking out the credit card, putting in the credit card details and then, and then purchasing the product. That's only the real thing.
Omer Khan [00:23:04]:
Did you guys think about charging them upfront and maybe just saying, hey, if you pay for this now in advance, we'll give you a big discount rather than asking them to sign an LOI.
Marius Meiners [00:23:14]:
At the point we didn't. I think if you can get away with it, that's a better way. So I think if you can do that, you should do that.
Marius Meiners [00:23:20]:
And I think in an enterprise setting that is also more common, where, you know, there's more integration work being done, you can kind of get away with doing something like that.
Omer Khan [00:23:26]:
And how long did it take typically on those first 10, to go from them replying to your email and saying they're interested to getting that DocuSign notification that they just signed the LOI?
Marius Meiners [00:23:41]:
I think we were very aware that this is going to be like a massive numbers game, that only if you read like 100D messages, I think we had a response rate of like 4% or something like that. So we just completely ran a massive campaign on maxing out every channel.
Marius Meiners [00:23:54]:
We max out LinkedIn, we max out emails, we call people, we. We went through our entire network and we went to conferences, we talked to people in conferences. So we just maxed out every channel. And then just by the sheer volume of people we talked to, some people had to do it.
Omer Khan [00:24:11]:
If there's a founder listening who's in that similar stage where they're onto an idea that they believe there's a meaningful problem that they can solve, and let's say maybe they've sent out 100 cold emails and haven't had a great response so far, but they're committed based on the early signals. What advice would you give them?
Omer Khan [00:24:41]:
Just to keep trying, send more? For how long?
Marius Meiners [00:24:45]:
I think this is one of the hardest questions we can discuss when and when not to quit. And I think it's so hard to give a generalistic good answer to this question. It really depends on, have you really tried everything yet? I think just from a numbers perspective, 100 emails, not much.
Marius Meiners [00:25:03]:
You should probably send a thousand or more. But it also depends on who. If the 100 you sent were extremely well qualified and you really believe, hey, from these 100 people that are the most qualified in the world, some of these should be buying it and then not buying it, then there's something wrong with the messaging.
Marius Meiners [00:25:19]:
How you place the product, how the product looks or feels like, so then there would be a mistake somewhere.
Omer Khan [00:25:25]:
And because it's so difficult at that point because you don't have any customers, you're not sure, is it my messaging that's not right. Is it the target? Am I just talking to the wrong icp? There's somebody in that company, but maybe a different ICP that I should be focusing on. And is it my execution? Right.
Omer Khan [00:25:46]:
Am I going on the wrong channel? Am I not sending out enough emails or am I not doing more high touch versus the volume game? Right. So there's all of these things that you have to keep testing. I asked you that question. I wasn't expecting, oh, here's the step by step plan to get there.
Omer Khan [00:26:06]:
But there are definitely some principles I think that people can apply here. Right. As they go through that process.
Marius Meiners [00:26:11]:
Yeah, I think that's right. I think you want to be really truth seeking also just for your own sake. Like you don't want to spend two years doing something that you know it's not going to work out to the degree that you, that you hope it would.
Marius Meiners [00:26:23]:
So I think it's a very, very hard line to balance and I just hope that we, if we had to do this again, we'd do it correctly again. But I think it's, it's very tough.
Omer Khan [00:26:33]:
Yeah. Now you went into a space that had some very well funded competitors who were charging, you know, $500 plus a month for their products and you guys decide to charge what, about $85? Walk me through how you guys arrived at that price.
Marius Meiners [00:26:57]:
So the competitor referring to as the only one that raised more money than us, and they're also bigger than us from an AR perspective right now.
Marius Meiners [00:27:05]:
They started like roughly a year in advance and they really went out with this pitch of wanting to work with the biggest brands in the world that was kind of like their claim to the market at that time.
Marius Meiners [00:27:16]:
And we looked at that and we looked at the SEO software space and we thought, hey, like the biggest companies in the SEO software space are actually not the biggest enterprise platforms. The biggest companies in the SEO software space are the mid market targeting companies. Because SEO as a topic is so relevant for so many small customers.
Marius Meiners [00:27:33]:
So we really believe that JIO will develop in quite a similar fashion where it's going to be very, very relevant to 2000-002000-00300,000 clients. So we wanted to capture that segment. That was our market market approach.
Marius Meiners [00:27:45]:
So, you know, our pricing had to follow that SAP where it has to work for, you know, some of your audience members for sure, like a founder that can only afford like an $89 subscription a month. And so we package the product in a way where, where that is possible. Right.
Marius Meiners [00:27:58]:
Where we sell at healthy margins in those small plans, but where we can offer such a price point.
Omer Khan [00:28:02]:
Okay, so you, you decided to say, okay, we're going to go, we're going to target smaller customers. There's a bit more of a volume play here. We're not going after the enterprise, the whales.
Omer Khan [00:28:14]:
And so the pricing, like was there a point where you would talk to customers and they would compare you to that competitor or ask about why you were different? Because I mean pricing is one thing, right? You can attract the price sensitive customer who doesn't want to pay $500.
Omer Khan [00:28:36]:
But beyond that, what was your, what was the way you differentiated your product?
Marius Meiners [00:28:43]:
I think as we build more towards our icp, which is kind of like the mid market, there is different product features that you are launching at that point. Because I would say for an enterprise client you can go pretty far into integration requirements where you can run a three month pilot.
Marius Meiners [00:28:58]:
They can really put some engineering effort behind it at some point and connect a lot of different things. And for a mid market company or an SMB, they need to get to value very fast. Like they have like a marketing team of like three people or two people or one person.
Marius Meiners [00:29:11]:
And that person needs to you know, juggle social media. They need to juggle, I don't know, like asset creation for, for graphics. They need to like handle like three different agencies. I need to do SEO, they need to do like all these other things. They need to do their website.
Marius Meiners [00:29:24]:
So they need to really lock into the product, find something high leverage to do, do that and see the impact. And I think that's very, very different than that. Kind of like an enterprise buyer for an enterprise buyer. Also in our space it's a lot about downside protection.
Marius Meiners [00:29:37]:
And for our mid market clients on our end, I think it's much more about creating growth.
Omer Khan [00:29:41]:
Okay, so you get the allies, you then go and build the product in like 6 weeks and then suddenly 11 months later you guys are like 5.5 million in ARR. Like what happened? What was the inflection point? Where did that growth sudden, that spike suddenly come from? Us.
Marius Meiners [00:30:00]:
It was a lot about social. So I'm actually inherently quite a private person. I don't even have like TikTok or Instagram. But I said, hey, if you want to win in B2B's 26, you have to be on social, you have to love content. And I think there's a couple companies that do that really, really well.
Marius Meiners [00:30:14]:
I think for example Pylon, I don't know if you know them. It's like a customer support success product. The founding team also does it super, super well. So I think we generated a lot of traction on LinkedIn and that really, really helped getting our name out there and then also just really making our customers happy.
Marius Meiners [00:30:31]:
So we grow quite significantly through word of mouth. It's about like 30% of our revenue comes through that channel. So that's of course, like, really, really exciting. And if people are happy with the product, they like the product. That's the best revenue channel you can have.
Omer Khan [00:30:44]:
So the majority of your leads are coming through social.
Marius Meiners [00:30:46]:
Even today, I would say it's a pretty wide mix. Now, a bunch of it is social. AI search, of course, is quite a significant channel for us. About 20% of our conversions are coming through AI search, so it's one of our bigger channels, of course, as well.
Omer Khan [00:31:00]:
Okay, awesome. All right, look, I'd have to keep talking, but we need to wrap up here, so let's move on to the lightning round. I've got five Quick fire questions for you. Ready?
Marius Meiners [00:31:11]:
Ready.
Omer Khan [00:31:12]:
What's one piece of startup advice that you disagree with?
Marius Meiners [00:31:16]:
Being scrappy. I think being scrappy at the start is super, super important. And we were super scrappy. We ate like two euro canned food every day for six months. But you got to shift into kind of deploying a lot of capital very quickly when you find product market fit.
Marius Meiners [00:31:29]:
And I grew up pretty poor, so for me it was very hard to get into that mindset.
Omer Khan [00:31:32]:
What's the last great book that you read?
Marius Meiners [00:31:35]:
I honestly don't read that much anymore. I don't really have the time. I think the last really great book for me was actually an Eckhart Toylo book. It's called the Power of Now. It's quite a philosophical book, but I really, really liked it.
Omer Khan [00:31:46]:
Good book. What is something that you've had to learn the hard way that you should.
Marius Meiners [00:31:51]:
Try to be effective rather than trying to be cool when it comes to, like, business fundamentals.
Omer Khan [00:31:56]:
Yeah, I mean, we didn't even talk about that. But the fact that you guys didn't even have a product manager when you launched. Right. It was like, we're going to figure this all out ourselves.
Marius Meiners [00:32:03]:
Yeah, that was not a good idea.
Omer Khan [00:32:06]:
What's a tool or habit that saves you most time?
Marius Meiners [00:32:08]:
I, at the moment, I'm obsessed with Claude. I use it so much. It's just incredible right now what you can do with, like, Claude and granola and notion. If you deploy it correctly, you can really automate so much stuff.
Omer Khan [00:32:19]:
I agree. And finally, what do you do for fun when you're out working?
Marius Meiners [00:32:22]:
So I play video games sometimes. Still going out. There's like a local card gaming studio which I go to, and then I also go partying quite a bit. So I try to get a little dance in when I can on like a Sunday during the day here in Berlin. That's possible.
Marius Meiners [00:32:35]:
The clubbing scene is even open on a Sunday, so that's always really, really fun.
Omer Khan [00:32:39]:
Cool. Well, Myu, thank you so much for joining me. It's been a pleasure. If people want to check out Peec, they can go to Peec AI. That's P E E C AI. And where do you hang out online? Is it LinkedIn?
Marius Meiners [00:32:50]:
It's LinkedIn. Marius Meiners.
Omer Khan [00:32:53]:
Thanks, man. I appreciate you sharing your journey so far. Congratulations on the early traction and excited to see where you guys take this business in the coming year.
Marius Meiners [00:33:02]:
Thank you so much for having me.
Omer Khan [00:33:04]:
My pleasure. Cheers.

Girish Redekar, Sprinto
Girish Redekar is the co-founder and CEO of Sprinto, an autonomous compliance platform that helps companies prove they're handling data securely. Before Sprinto, Girish and his co-founder spent two to three years trying to build their first startup. They had no programming background, so they taught themselves to code at 28 because they couldn't afford to hire developers. The first few ideas went nowhere. A job search engine. A resume matching tool. None of them got traction. Then they built RecruiterBox, a simple CRM for hiring. It launched before Stripe even existed, so their payment system was absurd. Customers had to click a PayPal link, swipe their card, and get credits that depleted daily. When the credits ran out, they'd go back to PayPal and swipe again. It was terrible. But customers kept doing it anyway. That was the clearest signal of finding product-market fit Girish had ever seen - not from analytics or feedback forms, but from watching people jump through hoops to keep paying. They bootstrapped RecruiterBox to over 2,500 customers and single-digit millions in ARR. Then they sold it. Not because it was failing, but because it got too comfortable. They felt like they were the bottleneck, and the business would grow faster in someone else's hands. The second time around, Girish took a completely different approach to finding product-market fit. He'd experienced the pain of SOC 2 compliance firsthand at RecruiterBox, spending months and tens of thousands of dollars on consultants. So when he started Sprinto, he made a rule - no code until the idea was validated. He used The Mom Test framework, ran 15-20 customer interviews, and then paid auditors to audit his non-existent company. Ten times. Each audit, he built a little more product behind the scenes. By the tenth, he knew exactly what to build and had confirmed the consulting service could actually become software. For go-to-market, Girish tried 20 different channels. Seventeen failed. The three that worked were founder communities (Slack groups, WhatsApp groups), VC portfolio programs with startup discounts, and Google (paid + SEO). His framework - harvest existing demand rather than create new demand - helped him focus on places where people were already looking for solutions. Now AI is changing the game from three directions at once. It's changing Sprinto's product, it's changing how customers operate internally, and it's creating new security threats from the outside. The problems that didn't exist two years ago are now driving a whole new wave of demand. Today, Sprinto generates eight-figure ARR with over 3,000 customers across 75 countries. The team has grown to 350 people and they've raised $32 million.

Zhong Xu, Deliverect
Zhong Xu is the co-founder and CEO of Deliverect, an operating system for restaurants that connects digital sales channels like Uber Eats, DoorDash, and Grubhub into one place. Zhong's father immigrated from China to Belgium with nothing. He washed dishes in a Chinese restaurant, saved enough to open his own, and taught himself C++ from a book so he could build his own point-of-sale system. He pushed Zhong into the business early. By 14, Zhong was helping run the restaurant. By 16, he was building websites for Chinese restaurants across Belgium. By 18, he'd built over 1,000 of them. He went on to study software engineering and built one of the first iPad POS systems. He coded the whole thing himself over nine months while working full-time with a three-and-a-half-hour daily commute. In 2014, that company merged with Lightspeed. Five years later, Lightspeed IPO'd. But Zhong wasn't done building. He kept hearing the same thing from restaurant owners. Delivery platforms were taking over. Orders were pouring in from five or six different apps, and nobody had a way to manage it all. So in 2017, he left and started Deliverect. This time, he didn't spend nine months coding before talking to customers. He went out and signed up 50 to 100 restaurants first. Behind the scenes, his team was processing orders manually. It looked automated. It wasn't. But it proved the demand was real before they wrote a single line of code. Then he figured out the SaaS distribution channel that would change everything. Instead of signing restaurants one by one, he partnered with POS companies. Ten partners each bringing in 100 restaurants a month beat doing it alone. When COVID hit and restaurants scrambled to go digital, Deliverect was exactly what they needed. They opened 10 new offices in a single quarter to get ahead of local incumbents. Today, Deliverect serves over 80,000 restaurants across 50 countries with 450 employees. They've processed over $25 billion in orders and are approaching $100 million in ARR. And now Zhong is racing to build an AI intelligence layer for restaurants before the whole industry gets commoditized. Because as he puts it, infrastructure alone is forgettable - the value is in the SaaS distribution channel that controls the intelligence.

Ryan Wang, Assembled
Ryan Wang is the co-founder and CEO of Assembled, an AI platform for customer support that helps companies manage both human and AI agents more efficiently. In 2016, Ryan was a machine learning engineer at Stripe. He and his co-founders spent two years building before launching in 2020 - the same day WHO declared COVID a global pandemic. Their momentum vanished. About a quarter of demos didn't show up. Their SaaS pricing model - usage-based with no minimums - meant customers could scale to zero without leaving. It took 8 months to earn their first dollar of revenue. In 2016, Ryan was a machine learning engineer at Stripe. He and his future co-founder Brian built ML tools to automate support tickets, but they realized the real problem wasn't automation - it was workforce management. That became the spark for Assembled. The three co-founders spent two years building before they launched in 2020. They lined up a TechCrunch story, hit the front page of Hacker News, and then their launch landed the same day the World Health Organization declared COVID a global pandemic. Momentum vanished. About a quarter of demos didn't show up. It took them eight months to earn their first dollar of revenue. The SaaS pricing trap: When they finally got customers, they had usage-based pricing with no minimums. Customers could scale usage to zero. When usage flatlined during the pandemic, the team blamed themselves before realizing customers weren't leaving because of the product - they were just cutting costs. How Ryan fixed the SaaS pricing problem: 1. Shifted focus from chasing growth to serving customers who were getting value 2. Met customers in person, sat with support leaders, and built what actually mattered 3. Added pricing minimums to prevent revenue from dropping to zero 4. Built sticky features that justified the investment That hands-on approach worked for about 10 customers. Then it broke at 50. Onboarding took weeks. Some features worked in demos but failed in production. So they rebuilt onboarding to get it down to days and cleaned up the product so it could scale. Eventually they grew from their early customers to dozens more and reached 8-figure ARR.