Founder Interview
How TABS Suite Reached 70 Customers and Sold for Just Under $20.8M (Interview with CEO Unnat Bak)
- Interview Date
- August 9, 2022
- Interviewee
- Unnat BakCEO
Company Metrics at Interview Time
Acquisition Price (2022)
Slightly under $20.8M
Cash Component (2022)
$5M
Customers (2022)
70
Team Size (2022)
7
Year Founded
2019
Historical Snapshot
These numbers were reported by Unnat Bak during his interview with Nathan Latka in August 2022 and are a historical snapshot, not current figures. See TABS Suite’s current numbers.

Key Takeaways
- 01TABS Suite was acquired by Pre-IPO Corporation for slightly under $20.8M, with a $5M cash component
- 02The company had 70 paying customers at the time of acquisition in 2022
- 03The team consisted of 7 engineers based in India and Singapore
- 04The platform used a token/credit SaaS model with pricing ranging from $500 per month up to $75K per year
- 05Consulting revenue per ticket reached $30,000 to $50,000 on matched legal and advisory engagements
- 06The company was at breakeven profitability at the time of the exit
- 07First customer was acquired in March 2020, roughly two months after the January 2020 launch
- 08The acquirer cited the strength of enterprise customer pipeline and the value of the proprietary AI and ML IP as key deal drivers
- 09Unnat Bak started schema design in October 2019 and deployed the first launch in January 2020
Company Metrics at Time of Interview
| Metric | Value | Source |
|---|---|---|
| Acquisition Price (2022) | Slightly under $20.8M | Founder interview, Aug 2022 |
| Cash Component of Deal (2022) | $5M | Founder interview, Aug 2022 |
| Customers (2022) | 70 | Founder interview, Aug 2022 |
| Team Size (2022) | 7 | Founder interview, Aug 2022 |
| Engineers (outsourced) (2022) | 7 | Founder interview, Aug 2022 |
| Pricing per Seat (entry) (2022) | $500 per month | Founder interview, Aug 2022 |
| Pricing (upper range) (2022) | $75,000 per year | Founder interview, Aug 2022 |
| SaaS Enterprise Contracts (2021) | $30,000 to $50,000 per year | Founder interview, Aug 2022 |
| Consulting Revenue per Ticket (2021) | $30,000 to $50,000 | Founder interview, Aug 2022 |
| Year Founded | 2019 | Founder interview, Aug 2022 |
| First Customer | March 2020 | Founder interview, Aug 2022 |
| Profitability at Exit (2022) | Breakeven | Founder interview, Aug 2022 |
Growth Breakdown
Revenue
TABS Suite combined SaaS subscription fees and consulting revenue but did not exceed $1M in total revenue in the trailing twelve months before the acquisition. SaaS contracts ranged from $500 per month at the entry tier up to $75,000 per year for larger enterprise deployments, while consulting engagements generated $30,000 to $50,000 per ticket.
Customers
The company reached 70 paying customers by the time of the acquisition in 2022, growing from its first customer in March 2020. Customers included angel investors, angel funds, micro VCs, large VCs, SBA lenders, and government organizations.
Team
The team numbered 7 at the time of the acquisition, composed of engineers based in India and Singapore who had worked with Unnat Bak across multiple prior ventures. As part of the acquisition deal, the top-tier technical talent was absorbed into Pre-IPO Corporation.
Profitability and Exit
TABS Suite was at breakeven at the time of the exit. The company sold for slightly under $20.8M to Pre-IPO Corporation, with $5M as a cash component and the remainder taken as equity in the acquiring firm. Unnat Bak noted the deal reflected a 10 to 12x return on direct capitalized costs.
Growth Strategy
Token-Based SaaS Model
Rather than a flat subscription, TABS Suite used a token or credit model where investors could configure custom assessments and purchase additional tokens a la carte when they exhausted their allocation. This allowed the platform to serve both small angel investors and large enterprise funds on the same infrastructure.
Enterprise Hub-and-Spoke Expansion
Large SaaS customers such as an SBA lender from Colorado deployed a custom silo and then brought additional sub-clients onto the platform at the same annual contract value, creating a hub-and-spoke pipeline that Unnat Bak described as generating an astronomical run rate from a single anchor customer.
Consulting Revenue as a Growth Layer
When assessments surfaced gaps in a portfolio company, TABS Suite connected those companies with service providers such as legal firms, generating consulting tickets of $30,000 to $50,000 each. This consulting layer emerged organically from the core product and added significant revenue alongside the SaaS base.
Overnight Iteration Cycle with Overseas Engineering Team
Unnat Bak designed product iterations in Figma during the day, the India-based engineering team built overnight, and he reviewed and iterated on their output the following morning. This cycle compressed development time and allowed a non-technical founder to drive rapid product evolution.
Acquihire and Enterprise Pipeline Validation
The acquisition was partly driven by Pre-IPO Corporation speaking directly with TABS Suite enterprise customers, who confirmed readiness to expand usage. This customer validation, combined with the proprietary AI and ML IP, allowed the team to negotiate a deal price well above a simple revenue multiple.
Best Quotes
“as a SaaS model, it ranged anywhere from $500 a month all the way up to sometimes 75 k a year or more.”
“Our first customer was March 2020. So it took, right after actually, during COVID, one of the investors was like, I'm not able to conduct diligence. You know, I I know I turned down the tool earlier. Can I utilize it as a trial? And, you know, we gave him one, and it was super manual on the underside, and then we're like, this is not sustainable. That's where we started to build out the ML tool.”
“This is a very high touch SaaS product where it requires, you know, multiple demos and to a point where it's enterprise, to a certain degree, even at the $500 level.”
“our exit, valuation accounted for us putting a pause essentially on going and closing that additional pipeline. So we actually sold based on the metric of, hey. You know, there's minimal revenue here. Let's take this. Give us the resources. We'll, you know, build an enhanced tech suite, but then we'll still go and attack those. So now we're turning those funnels back on.”
“one of the key, parts of the diligence was actually it was a part of an acquihire. Right? They really wanted us and the team as part of it. The other piece was they went and spoke to our SaaS enterprise customers. You know, it's one thing to say, oh, this is our pipeline, but it's another thing to talk to them. And those people to be like, yeah. We're just tell us when to go, and we're gonna bring on, you know, everyone else.”
“Well, that was, yeah, the initial price. The final price got, you know, that was the MOU pricing, but then we adjusted slightly to reach, like, terms more favorable to both parties.”
“I wish I knew that there were founders willing to help out us building companies, as first time founders.”
What Happened Next
This interview captured TABS Suite at the moment of its acquisition by Pre-IPO Corporation in August 2022, when the company had 70 customers and a team of 7. The figures and deal terms discussed here are a point-in-time snapshot from that conversation and do not reflect the current state of the business or its integration within Pre-IPO Corporation. Visit the TABS Suite company profile on GetLatka for the most current available data.
View TABS Suite’s current profile and metricsFull Transcript
Chapters
- 0:00Intro and Founder500 Announcement
- 0:43Guest Introduction: Unnat Bak and TABS Suite
- 1:01The Acquisition by Pre-IPO Corporation
- 2:17What TABS Suite Did: Diligence as a Service
- 4:07SaaS Model, Token Pricing, and Revenue Range
- 6:44Company Origins: Schema Design and First Launch
- 7:17First Customer and Early Growth
- 8:49Customer Count, Pricing Tiers, and Enterprise Focus
- 10:57Revenue Breakdown: SaaS vs Consulting
- 11:39Why They Sold Before Hitting $1M Revenue
- 12:06Team Size and Overseas Engineering Model
- 15:56Deal Structure: Cash, Equity, and Earn Out
- 17:44How They Justified the Deal Price
- 19:59Profitability and Famous Five
- 20:52Lessons Learned and Wrap-Up
Intro and Founder500 Announcement
Nathan Latka
00:00What is going on YouTube? You know, we are just two weeks away from Founder500 in Austin, Texas on September first and second. There's over 500 B2B SaaS founders all coming together. You don't want to miss it. Ticket prices increase every three days. I have it on an automatic accelerator every three days, and we're almost sold out. You can see there's about nine left when you go to the event bright link, about nine left, and it's updating
00:23real time. So check it out today. It's founderpath.com. Then in the upper left, you can hover over our product dropdown and click the event stream. I'll also put it in the description here of the YouTube video. I'd love to see you there. Hey folks, my guest today is Unaud Bakk. He's a four times non technical SaaS founder who's amassed an incredible amount of experience in building, investing, and growth hacking early stage SaaS ventures. Got his fingers
Guest Introduction: Unnat Bak and TABS Suite
Nathan Latka
00:43into the model, angel investing, advising startups, and mentoring founders through unique reverse angel method. He's on the board of many companies, and most recently, he's built tabsscore.com, diligence as a service, and he's got some big news to share. Unnat, you ready to take us to the top? Sure. Alright. Let's not bury the lead. What's the news?
The Acquisition by Pre-IPO Corporation
Unnat Bak
01:01>> Alright. So, pre IPO corporation, is a firm that is doing private and secondary market securities. And, you know, as they were expanding and and raising their round, they found it pertinent to acquire a technology suite, which was tabsscore. So adding our proprietary AI and ML, you know, intelligence as a service on these late stage companies, but also as they focus down in the mid cap and growth stage, being able to perform the diligence suite functions, you
01:28>> know, and just enhance the tech suite of their offering overall.
Nathan Latka
01:32Yep. Yep. I love that. Well, look, we are, we're obviously super excited for you. Tell us more about, tabsscore, so pre pre IPO. Right? So what kinds of stuff were you working on? Or sorry. Not pre IPO, but, like, pre the acquisition to the company called pre IPO. Right? So who what would someone have paid you for, you know, four months ago?
Unnat Bak
01:51>> Yeah. I mean, we had everything from, everyone from angel investors, single angel investors, all the way to angel funds, the way up to micro VCs, big VCs. We even had SBA lenders, government organizations, and their core crux was utilizing tabsscore to essentially conduct an evaluation on an early stage or a growth stage company. And what that means really is, you know, not like the traditional scraping style tools that just provide it, you know, hey. This company
What TABS Suite Did: Diligence as a Service
Unnat Bak
02:17>> has 10 followers. They're not a good company. That's what we wanted to avoid. So tabsscore allowed, these investors to perform quantitative analysis on the qualitative aspects of the business. So being able to assign quantitative metrics to founder experience or, you know, where they are in the life cycle, whether they're b to b or b to c, and whether they've explored those paths. Being able to put quantitative metrics for that, but then also able to spit out
02:43>> these dynamic reports, in lieu of investment memos, to not replace the diligence process, but just augment the amount of information being provided to the team in a fraction of the time and cost.
Nathan Latka
02:53And so was that if people wanted that diligence, was it one off, or do you guys have a SaaS model?
Unnat Bak
02:57>> It's a SaaS model, similar to how it's it's how some of the companies like Zapier are doing, like, zaps or 20,000 zaps. So same way we did tabs tokens. So different types of assessments, quote, unquote, assessments could be created, in terms of the user going on, the investor going on and creating, like, hey. We wanna learn about financial fundraising, product market fit. We want a data room, but we don't care about x y z. So it
03:24>> created a custom token cost for, that assessment. They could actually turn that into a button and then put that on their website or an email drip, and then using Zapier, set triggers to send that off at any point during their process. So as a SaaS model, it ranged anywhere from $500 a month all the way up to sometimes 75 k a year or more.
Nathan Latka
03:42What what would you say? So $500 a month to what would that be? 4, $6,000 a month. That's a big range. What would you like the average customer is paying? Like, a grand a month, something like that?
Unnat Bak
03:51>> Yeah. I would probably say we we had a lot of, like, 500 to a thousand dollar, and then what they would do is go in. And then if they utilized all their tokens, they would just purchase a la carte or just automatically bumped up to another tier.
Nathan Latka
04:03And when did you guys write the first line of code for tabsscore suite? When did you launch?
SaaS Model, Token Pricing, and Revenue Range
Unnat Bak
04:07>> We launched official so first, I I was doing the schema diagramming while I was on the last legs of the previous business as it all works with serial entrepreneurs. But then the first kind of deployed launch was January 2020.
Nathan Latka
04:21When did you start the schema, though?
Unnat Bak
04:24>> October, 2019. So it took a couple months of it was a very crude you know, we look back on it. Actually, we have a funny, like, progression model of how the first one we had to buy, it's actually sitting oh, you can't see from there, but it's sitting over there. It's a computer that we just had to run the Excel macro that would put provide the report, and it would take an hour, and we couldn't breathe
04:44>> near it because it would crash.
Nathan Latka
04:47Oh, what's going on there, YouTube? Good to see you guys. Now imagine this. You love watching these interviews with SaaS founders. But imagine if we took all of the valuation data out from over 2,807 interviews I've done manually saves you a lot of time. Well, we've done this. We've built it into the beautiful interface inside of Founderpath. Check this out. I'll show you how you can access this in a second, but you log in, you connect
05:10your Stripe account, you see your valuation real time. You can see what it changed over the past eighty eight days and even set goals for valuation this year. Now the secret evaluation is there's many different ways to value a SaaS business. So the reason you're gonna see three or four different valuations inside of your Founderpath dashboard, this is all free by the way, is because depending on who's doing the buying of your SaaS company, you're gonna
05:35get a different valuation. A VC is gonna pay a different valuation. Private equity firm is different. If you're gonna do a minority sale, that's different. And if you sell the whole business, that's a different valuation. You can see all those when I hover over here. Right? So the teal is what a VC would pay. Yellow is what private equity and red is if you sold the whole thing outright. Now what's cool about this is this is
05:56not built off random data. Again, you guys hear these interviews on YouTube. All these datas are built from real time valuation data points founder share with us on the show. So traction, 1,200,000 seed round, 3.7 raise. They sold 22% of their business. Go in here and filter by the event. Maybe you only wanna see companies that have sold the whole business. Well, here are a bunch that have been acquired, the valuation and the multiple. Maybe you're
06:22going out right now and you're raising your seed round. We'll go in here and look at all this recent seed deals that went down, what they raised, what valuation they raised at, and what percent that they sold. There's never been a larger dataset of SaaS valuations than what you can get now inside of Founderpath. And we're thrilled to bring it to you. Alright. We're gonna go back to the YouTube video here in a second, but if
Company Origins: Schema Design and First Launch
Nathan Latka
06:44you wanna check this tool out, if you wanna jump in and sign up, you can check it out for free to get your valuation at this link. This link, founderpath.com/products/valuations. Or if you go to founderpath.com and hover over products, click on get your valuation here, and go ahead and sign up to give it a whirl. Again, all that valuation data live right inside the platform. I hope to see you there. Alright. Let's jump back into the
07:10interview. Okay. So so that you get going in 2019, and how long did it take you to get your first customer?
First Customer and Early Growth
Unnat Bak
07:17>> Our first customer was March 2020. So it took, right after actually, during COVID, one of the investors was like, I'm not able to conduct diligence. You know, I I know I turned down the tool earlier. Can I utilize it as a trial? And, you know, we gave him one, and it was super manual on the underside, and then we're like, this is not sustainable. That's where we started to build out the ML tool. But he was,
07:40>> yeah, it was one of the first customers was a thousand dollars processed as a check handed over a restaurant table.
Nathan Latka
07:46That's amazing. Alright. And so how many customers did you scale to before the acquisition?
Unnat Bak
07:51>> So whenever even potential users or investors ask us that question, the the way that we turned that around was we have some that, you know, ran incubator accelerator programs for thousands of assessments. We had some that use it on a per deal basis. So in terms of users or customers, that wasn't the best metric to look at it by. I would say that we had over 1,000,000 lines of iterated code written by the ML and AI
08:15>> system. That's how much the platform was used. Even today, the SBA company that uses it or the SBA lender, from the state of Colorado, we still have passively, after they've turned off all their funnels, are still dripping through three or four a day. That's just that one person.
Nathan Latka
08:30Yeah. Sorry. But, I mean, look, I understand the metric you're giving me, but my audience is gonna hear that and roll their eyes. So let me try and help you, like, save a little face here. I get how you're trying to describe it, but let me ask a different question. Might be easier to answer. How many folks spent at least a dollar on the platform over the past the prior twelve months before the acquisition?
Unnat Bak
08:45>> Let's say about 70.
Nathan Latka
08:46Okay. There you go. Yeah. That's a much better metric. And you obviously have power users.
Customer Count, Pricing Tiers, and Enterprise Focus
Unnat Bak
08:49>> This is a very high touch SaaS product where it requires, you know, multiple demos and to a point where it's enterprise, to a certain degree, even at the $500 level. You know? So we introduced certain tiers of pricing that were always changing. I I mean, I you know, percentage of AUM. I mean, we experimented with a lot of different stuff.
Nathan Latka
09:08Wait. Give me some other example. Percentage of AUM, you ended up on the cookies. You ended up on the on the token basis, right, credits. But what was the other things you test?
Unnat Bak
09:15>> So, you know, it's different when you get on the phone and the guy's like, alright. Well, we have 500,000,000. We wanna deploy it and and automatically, it's like, alright. Well, $500 a month doesn't really, you know, cut it for you. So we we tried percentage of AUM. We tried, percentage of the amount you've funded into the deals even though your fund hasn't closed yet. We tried SaaS pricing where it was just, one fee, and then it
09:39>> was, like, blocks of, you know, assessments. We tried a per assessment basis. And then we tried actually opening it up to founders. That didn't work well, so we went back to b two b, and then we went ultra high, like b two b to e, I would say, or b two e to b, enterprise to business.
Nathan Latka
09:55Uh-huh. Super interesting. Okay. So you go from nothing to 70 customers over the past, call it, two and half, three years. If they're paying on average, you know, call it a grand a month. Right? It's fair to say you guys are flirting with a million dollar run rate or about $70,000 a month in revenue?
Unnat Bak
10:08>> Right. Yeah. We had it wasn't recurring, but that's where we were, you know, like, heading towards rapidly because we also had the growth in consulting side, which came up as an interesting piece because a lot of times when the when the assessments were created and the assessment is pointing out, okay, the company needs firms or help here and here, we would be contacted by firms being like, hey. You know, we have this package of, like, legal
10:32>> needs, for example. And then you've got these companies that are saying, okay. We need the following. Like, let's match us together. Mhmm. So the consulting revenue became almost 30 to $50,000 per ticket, from there. So Interesting.
Nathan Latka
10:45Yeah. So so I guess if we look at, like, the last full year then, like, 2021, what was, like, what was the breakdown? You think 40% was consulting, 40% was, like, per assessment or SaaS recurring based somehow?
Revenue Breakdown: SaaS vs Consulting
Unnat Bak
10:57>> Yeah. Some of our large SaaS customers, like, for example, we had three or four SaaS agreements signed at, 30 to $50,000 mark. Yeah. And those were
Nathan Latka
11:06Per month or year?
Unnat Bak
11:07>> Deployed, per year. But those were deployed custom silos. And then each one of those, for example, like, the the SBA one while we're on the topic was saying, okay. Now that we've deployed our silo, we wanna bring on 14 others or 10 others or whatever the number was underneath at that same $30,000 a year. So the pipeline and run rate became astronomical, like, just from them becoming it was almost like a hub and spoke model.
Nathan Latka
11:32Yeah. Yeah. But, I mean, did you do more than a million revenue and combined revenue last year?
Unnat Bak
11:36>> No. We didn't.
Nathan Latka
11:37Okay. I guess the reason I'm asking this is
Why They Sold Before Hitting $1M Revenue
Unnat Bak
11:39>> Yeah. Sorry. The exit what? Our exit, valuation accounted for us putting a pause essentially on going and closing that additional pipeline. So we actually sold based on the metric of, hey. You know, there's minimal revenue here. Let's take this. Give us the resources. We'll, you know, build an enhanced tech suite, but then we'll still go and attack those. So now we're turning those funnels back on.
Nathan Latka
12:01I see. I see. I see. Okay. That makes sense. And and you say we. How many folks from the team?
Team Size and Overseas Engineering Model
Unnat Bak
12:06>> We had about seven people. I say about because you always have, you know, a couple contractors that are now closest family Yeah. That were, like, basically full time. So it was about
Nathan Latka
12:15Who did all your engineering? You're a business founder.
Unnat Bak
12:18>> I am a business founder. No, technical ex I shouldn't say no technical experience. All our engineering was done by the same team that worked with me on the last business and the one before that. We grew that. So those contractors are are what I would call essentially part of the team, but not legally, you know, like, literally part of the team.
Nathan Latka
12:36Were they part of, like, an outsourced dev shop that you worked with over and over? Are there individual folks you found on Fiverr, Upwork, Toptal, other places?
Unnat Bak
12:41>> Yeah. It was it was a team overseas that we basically kind of have taken ownership of in terms of hiring processes and and implemented almost like to make them our own.
Nathan Latka
12:52But legally But you don't you don't let other founders or other people pay to put projects through that team?
Unnat Bak
12:57>> We actually have started doing that just because the the size and strength of that team is so great that we it doesn't make sense to not you know, I'm always, approached by founders saying, hey. Like, can you help me with product or things like that? And interestingly enough, something that came of the tabs whole, like, two year, two and a half year journey was that I turned into our head of product. So I learned Figma inside
13:19>> out. I learned, you know, all the different tick tips and tricks, and then we worked it on a model where I would design and iterate. They would build overnight. I'd wake up and work on the suggestions while they worked on my from the previous day, and it became, like, a really cool cycle.
Nathan Latka
13:33Yep. Yep. No. That makes a ton of sense. And so are they sticking with the company now post post acquisition?
Unnat Bak
13:39>> They are. Part of the acquisition deal was that we usurp the tech talent or the top tier talent into the new firm.
Nathan Latka
13:45Interesting. And how many outsource developers are there?
Unnat Bak
13:48>> Seven.
Nathan Latka
13:49Oh, Seven. Six total. Okay. Very cool. And what which country are they? You said India?
Unnat Bak
13:53>> Yep. They're based in India, between India and Singapore.
Nathan Latka
13:56Very, very cool. Alright. Let's talk about the deal. You know, there's a lot of companies building great business here. Right? You look at PitchBook, you look at CB Insights, obviously, Mattermark didn't work out for a variety of reasons. They probably raised too much, but like how do you know you didn't first off, were you bootstrapped? Yes or no. I think you were. Right?
Unnat Bak
14:10>> Yeah. We were bootstrapped.
14:11>> It was a little bit
14:12>> of a difficult, like, answer because it was a gray area. We were essentially funded. I was the entrepreneur in residence for a fund, and then I essentially built the product under them using 500 k from them, but it was still, like, bootstrapped to the point where I had to essentially you know, that came out of the basis points.
Nathan Latka
14:30Well, how much what? Did you did you own more or less than 70% of equity in the business?
Unnat Bak
14:33>> I did. I own more than it.
Nathan Latka
14:34Yeah. Okay. Got it. And then they own whatever, ten, fifteen, 20%?
Unnat Bak
14:38>> Correct.
Nathan Latka
14:38Okay. Okay. Okay. I guess so why would they let this go? Why wouldn't they try them? I mean, if it's really working well, it's proprietary. Why'd they let it why would they let it go?
Unnat Bak
14:47>> So it's a good question. It's one that we've been asked, you know, asked a lot. And, again, let me just clarify on the last point. Like, I as part of that parent organization, like, they own a 100%. My shares or my structure ownership in tabs was through that. The reason that we
Nathan Latka
15:05Oh, wait. What does that mean? So so we we hear model all the time where this sort of happens where you don't actually own 78% of the business, but on an exit, you own 78 or 80% of the profits with the upside. Is that how it's structured? Yep.
Unnat Bak
15:14>> So because I was an entrepreneur in residence, my contract is with that fund. But I you know, building it out, my time became more and more focused on this and less on their portfolio companies.
Nathan Latka
15:23I see.
Unnat Bak
15:24>> You know? So and and I'm glad that you were able to clarify that. You know, that's a good cohesive method to explain it.
Nathan Latka
15:29Yeah. Know. That makes good sense.
Unnat Bak
15:30>> To answer your question about why did we let it go, we actually didn't I don't consider it being let go. In effect, we realized 10 to 12, x on, you know, initial capitalization, but that is only on direct cost, not actually IP time and, the actual time spent, you know, from the founders, which that's a an age old battle between VCs and and founders is, you know, how do you quantify that? But in terms of the
Deal Structure: Cash, Equity, and Earn Out
Unnat Bak
15:56>> the equity received as part of the cash plus stock compensation, the equity received is, of us based on what we're building in our road map and everything like we talked about, like pipelines that we had frozen that we're gonna reactivate, the valuation, and the percentage we own actually and the deal terms make it worthwhile to the number that we had kind of hoped. And we're we look at this as, as the
Nathan Latka
16:21other Let's put that, like, in one. That was a lot of, like, sure. That's hard to follow.
16:27Did you guys sell for a 10 to 15 x multiple on trailing twelve months revenue?
Unnat Bak
16:32>> No. So we what I was saying is, like, because we spent, like, roughly 500 to, you know, north of 500 k on physical, like, payments to either vendors, subscriptions, those actual capitalized costs. The cash portion of the deal, you know, was roughly, like, the 10 to 12% range. I mean, sorry. I see. X range of that. But the remainder of the deal, terms were taken as equity in pre IPO in in the surviving form. And that
16:59>> percentage that we got of pre IPO based on what we know about the road map and where we're headed with that, it is it makes up for the difference in where we want it to be in terms of our vision for tabs.
Nathan Latka
17:11Well, even if it's just cash, though, I mean, and you did less than a million bucks in revenue trailing twelve months, a million, right, times even six x would be great right now. Right? It's a $6,000,000 deal. But if you got a deal that's 10 x the cash, you can have 5 100 k. That's implying a $5,000,000 cash component of a deal, which I would consider a fantastic deal by itself.
Unnat Bak
17:27>> Yeah. I mean, you know, you're a numbers guy, especially when with the whole Founderpath thing and you look at those ratios. I mean, it it was a great deal.
Nathan Latka
17:34How'd you con that's crazy, actually. I mean, considering you're not even pure SaaS, how'd you convince someone to pay a you know, more than 5,000,000 total deal price, but 5,000,000 cash for business doing less than 1,000,000 in revenue?
How They Justified the Deal Price
Unnat Bak
17:44>> So one of the key, parts of the diligence was actually it was a part of an acquihire. Right? They really wanted us and the team as part of it. The other piece was they went and spoke to our SaaS enterprise customers. You know, it's one thing to say, oh, this is our pipeline, but it's another thing to talk to them. And those people to be like, yeah. We're just tell us when to go, and we're gonna
18:03>> bring on, you know, everyone else. So in a way, was like, okay. We're gonna use this. The actual value of the IP as well based on their conversations with their large enterprise customers, I mean, the dollar amounts attached to what they were selling based on the usage of our tech was where they we kind of came to that of Oh, this price was public.
Nathan Latka
18:22This price was in the press. $20,800,000 deal price. $20,800,000.
Unnat Bak
18:26>> Well, that was, yeah, the initial price. The final price got, you know, that was the MOU pricing, but then we adjusted slightly to reach, like, terms more favorable to both parties.
Nathan Latka
18:36So was the total deal price lower than 20 point 8 or higher than 20.8 after we're good?
Unnat Bak
18:39>> Slightly lower than 20.8.
Nathan Latka
18:40Fair enough. But 5,000,000 of it was cash. The rest stock, equity, whatever, more upside, earn outs, things like that. Makes good sense. Interesting. Okay. Well, we'll see what happens now. Was pre IPO bootstrapped or have they raised a bunch of money?
Unnat Bak
18:51>> So pre IPO is not bootstrapped. It was for a little bit, but they've, they're about halfway through an 8,750,000 seed round if I'm not mistaken. They're closing another 25 mil, shortly after that, and then there's a credit facility on the line for, you know, not closed yet, but there's a several $100,000,000 credit facility to actually buy shares in in the pre IPO companies from SEC.
Nathan Latka
19:13Yeah. And they're playing sort of in the crypto world too. Just to be clear, when you say there was a $5,000,000 cash component of this, this wasn't like some exchange for ETH or some crazy inflated coin on Coinbase that you can't actually get liquidity. This was 5,000,000 USD fiat wired to you plus the fund that you're an EIR in, plus any other one that owned equity in the business?
Unnat Bak
19:31>> There's still a cash, component like earn out that is, you know, during the purchase period or immediately following, but I see. It's in US dollar. It's not in some crypto coin.
Nathan Latka
19:40I see. Okay. So the total deal value was, call it, a little less than $20,000,000, of which 5,000,000 was cash. However, all not all that cash was paid upfront. Some portion is on whatever a two year earn out. Correct. I see. Okay. Very cool. Heck of a story here. I guess, last thing I'll talk about, were you guys profitable before you exited?
Profitability and Famous Five
Unnat Bak
19:59>> Yeah. We were breakeven.
Nathan Latka
20:00Okay. Breakeven. Pretty good. Pretty good. Very cool. Well, hey. Let's wrap up here with the famous five. Number one, favorite business book.
Unnat Bak
20:07>> Business book, Hard Things About Hard Things, Ben Horowitz.
20:10>> Yeah.
Nathan Latka
20:11Number two, is there a CEO you're following or studying?
Unnat Bak
20:14>> There is actually. There are quite a few. I couldn't name one right off the top of my head. Number
Nathan Latka
20:20that's okay.
20:21Number three, what's your favorite online tool for building a business?
Unnat Bak
20:25>> It's gotta be Figma. I I don't what it is.
20:28>> Yeah.
Nathan Latka
20:29Number four, how many hours of sleep do get every night?
Unnat Bak
20:31>> I actually get eight to nine. I I cannot function without it.
Nathan Latka
20:34And what's your situation?
20:36Married, single, kids?
Unnat Bak
20:38>> Be married in March.
Nathan Latka
20:39Oh, congrats. No kids yet?
Unnat Bak
20:41>> No kids yet.
Nathan Latka
20:42Oh, they're all Alright.
20:43Little little UI UX
Unnat Bak
20:44>> designers are gonna pop out.
Nathan Latka
20:46How old are you?
Unnat Bak
20:47>> I'm 28.
Nathan Latka
20:4828. Last question. Something you wish you knew when you were 20.
Lessons Learned and Wrap-Up
Unnat Bak
20:52>> I wish I knew that there were founders willing to help out us building companies, as first time founders.
Nathan Latka
20:59Guys, there you have it. He learned by building his company as an EIR and out of fund. They gave him $500 k cash and said spin this out and build it. It was called tabsscore, machine learning and AI and Sorry, due diligence using machine learning and AI. Grew it to, you know, something between 500 ks and a million bucks of revenue combined SaaS and consulting fees, and then sold just recently for $20,000,000 deal value to pre
21:21IPO, which 5,000,000 of that was a cash component. Now he's building this inside of pre IPO and hopes to continue to scale it rapidly with his team of seven. Unnat, thanks for taking us to the top. Thanks.
21:33One more thing before you go. We have a brand new show every Thursday at 1PM Central. It's called Shark Tank for SaaS. We call it deal or bust. One founder comes on, three hungry buyers, they try and do a deal live and the founder shares back end dashboards, their expenses, their revenue, ARPU CAC, LTV, you name it, they share it and the buyers try and make a deal live. It is fun to watch every Thursday 1PM
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