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Valuation

$80M

2024 Revenue

$3.1M(Est.)

Customers

70

Funding

$23.5M

Avg ACV

$43.7K

Team

46

Founded

2018

Symbl.ai Revenue, Valuation & Funding (2024)

Symbl.ai is a programmable conversation intelligence platform founded in May 2018 and headquartered in Seattle, Washington, with a significant engineering presence in Pune, India. The company enables developers and enterprises to extract insights, analytics, and compliance data from voice and video conversations at scale, charging on a usage-based model priced per minute of audio processed rather than by seat.

Surbhi Rathore, CEO and co-founder, built the company alongside a co-founder she met at Amdocs, where both worked on conversation AI products before launching Symbl.ai. The company entered Techstars Seattle in 2019, raised a $1.8 million pre-seed round that year, and closed a $17 million Series A led by Greatpoint Ventures in late 2021 at a reported 50x revenue multiple.

As of late 2021, Symbl.ai reported approximately 70 customers, a net dollar retention rate of 125 percent, and monthly minute volumes of 5 to 10 million, growing at roughly 20 percent per month. The company had grown all of its revenue within the prior 12 to 14 months following the post-COVID launch of its self-service platform, and carried a team of 54 full-time employees split between India and the United States.

Last updated

Symbl.ai Revenue

Symbl.ai reported approximately $1.5 million in revenue for 2020, a figure the host derived by back-calculating from the stated 50x revenue multiple and the implied Series A valuation. Rathore declined to confirm or deny current revenue figures directly during the interview, stating she could not disclose that information. All revenue growth occurred within the 12 to 14 months following the post-COVID launch of the company's self-service platform; prior to that launch, the company had only beta customers and minimal revenue.

Symbl.ai Revenue GrowthReported revenue / ARR over time · latest figure estimated$0$750K$1.5M$2.3M$3M$3.8M2018201920202021202220232024$0$400K$1.6M$1.6M$1.6M$3.1MSource: GetLatka.com interview on Dec 8, 2021 with Symbl.ai CEO Surbhi Rathore
YearMilestoneSource
2024Symbl.ai Hit $3.1m revenue in October 2024Estimated
2023Symbl.ai Hit $1.6m revenue in November 2023Estimated
2022Symbl.ai Hit $1.6m revenue in November 2022Estimated
2021Symbl.ai Hit $1.6m revenue in November 2021Estimated
2020Symbl.ai Hit $400k revenue in October 2020
2018Launched with $0 revenue

The host noted that at a $40,000 average contract value across roughly 70 customers, a simple multiplication would suggest a run rate approaching $3 million, but Rathore did not confirm that figure. The 50x revenue multiple applied at the Series A is the primary disclosed data point anchoring the revenue picture as of late 2021.

Forward revenue projection: using the company's stated 20 percent monthly minute-volume growth rate as a ceiling proxy and applying deceleration, a GetLatka estimate for 2022 annual revenue would range from approximately $2.5 million (deceleration-adjusted floor) to approximately $4 million (trailing-growth ceiling). This is a modeled range, not a figure Rathore confirmed, and is labeled a GetLatka estimate.

Symbl.ai Valuation, Funding Rounds

Symbl.ai reached a $80M valuation in 2021, set during its Series A round.

Symbl.ai has raised $23.5M in total funding across 3 rounds, most recently a $17M Series A round in 2021.

Symbl.ai Capital Raised & ValuationCumulative capital raised and post-money valuation by roundCapital raised (cum.)Valuation$0$0$20M$5M$40M$10M$60M$15M$80M$20M$100M$25M2018201920202021$80MSource: GetLatka.com interview on Dec 8, 2021 with Symbl.ai CEO Surbhi Rathore
YearRoundAmountValuation% SoldSource
2021Series A$17M$80M21%
2020Seed Round$4.7M$20M24%Watch[1]Estimated
2019Pre-Seed$1.8M--

Founder / CEO

Surbhi Rathore

CEO

Surbhi Rathore is the CEO and co-founder of Symbl.ai. She and her co-founder, whom she met while working together at Amdocs, launched the company in May 2018 after identifying a gap in the market: while chatbot technology was widely available for human-to-machine interactions, no scalable platform existed for extracting intelligence from human-to-human calls and conversations. The two co-founders split equity 50-50 at founding, and Symbl.ai is their first company.

Rathore was 34 years old at the time of the December 2021 interview. Profitability and personal net worth were not discussed in the interview, and no basis exists to estimate net worth.

Q&A

QuestionAnswer
What's your age?37
Favorite online tool?-
Favorite book?-
Favorite CEO?-
Advice for 20 year old self-

Customers

Symbl.ai had approximately 70 customers as of December 2021, with Rathore describing the count as "higher double digits" and the host confirming the range as roughly 70 to 80. The company expected to surpass 100 customers in the first quarter of 2022.

The platform serves two distinct customer types: pay-as-you-go developers who sign up and experiment without a commitment, and enterprise customers who sign committed volume deals. The average contract value for committed customers was approximately $30,000 to $40,000 annually. Committed volume deals ranged from $100,000 to $200,000 depending on tier. The largest single customer was paying between $150,000 and $200,000 annually at the time of the interview.

Pricing starts at $0.05 per minute for pay-as-you-go access, covering speech-to-text, intelligence, insights, and analytics with no seat-based charges. Customers are billed solely on the number of minutes analyzed by the platform, regardless of how many seats or products they apply the technology to.

Symbl.ai serves 70 customers.

Symbl.ai Business Model

Symbl.ai operates a usage-based, per-minute pricing model with no seat-based upsell. Revenue is composed of a base committed-volume component and a variable overage component, which Rathore described as similar to the Twilio model. Customers can begin on a pay-as-you-go basis at $0.05 per minute and scale into committed volume deals ranging from $100,000 to $200,000 annually.

The company processed 5 to 10 million minutes per month as of December 2021, a volume it had sustained for approximately 7 to 8 months following the maturation of key post-COVID use cases including accessibility, compliance, and call tracking. Monthly minute volume was growing at approximately 20 percent per month at the time of the interview.

Net dollar retention stood at 125 percent as of late 2021, reflecting natural expansion as customers increase their minute consumption over time. Rathore set a target of 130 percent NDR by the end of the first quarter of 2022. Profitability was not discussed in the interview. Gross margin, burn rate, runway, CAC, LTV, and free-to-paid conversion rate were not disclosed.

Point-in-time figures shared on the GetLatka podcast, each linked to the exact moment it was said on camera.

Net dollar retention (2021)

125%

Nathan Latka: I assume you guys are well above a 100% NDR. Surbhi Rathore: Yeah. One twenty five.

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Symbl.ai Employees & Team Size

Symbl.ai employed 54 full-time staff as of December 2021. Approximately 80 percent of the team were engineers, with the company actively building out its go-to-market function following the Series A close. At the time of the Series A, the company had only one dedicated sales representative.

Roughly 60 to 65 percent of the overall team was based in India, primarily in Pune, with additional staff in Bangalore and New Delhi. The remaining 35 to 40 percent were based in the United States, centered in Seattle, with some employees in the San Francisco Bay Area and Boulder, Colorado.

Symbl.ai employs approximately 46 people as of 2026, down from 55 in 2023, including 3 sales reps that carry a quota. It serves 70 customers that rely on its solutions.

Symbl.ai Team GrowthReported headcount over time013253850632018201920202021202220232024004646Source: GetLatka.com interview on Dec 8, 2021 with Symbl.ai CEO Surbhi Rathore
YearMilestoneSource
2024Reached 46 employees (October 2024)
2023Reached 55 employees (November 2023)
2022Reached 55 employees (November 2022)
2021Reached 54 employees (January 2021)
2020Reached 38 employees (November 2020)
2020Reached 38 employees (October 2020)

Frequently Asked Questions about Symbl.ai

What is Symbl.ai's revenue?

Symbl.ai generates an estimated $3.1M in annual revenue.

Who founded Symbl.ai?

Symbl.ai was founded by Surbhi Rathore.

Who is the CEO of Symbl.ai?

The CEO of Symbl.ai is Surbhi Rathore.

How much funding does Symbl.ai have?

Symbl.ai raised $23.5M across 3 rounds.

How many employees does Symbl.ai have?

Symbl.ai has 46 employees.

Where is Symbl.ai headquarters?

Symbl.ai is headquartered in United States.

Compare Symbl.ai to the industry

Symbl.ai operates across multiple industries. Browse revenue, funding, and growth data for Symbl.ai in each sector below.

Full Interview Transcripts

Voice AI Company Raises $17m at $80m Valuation, 50x Revenue Multiple, Scaling Fast with NDR of 120%Dec 8, 2021

[00:00] Hey, folks. My guest today is Surbhi Rathore. She's the CEO and cofounder of Symbl dot ai. The company is bringing to life a vision for a programmable platform that empowers developers and business to monitor, act, and comply with voice video conversations at scale in their products and workflows without building their own in house data science expertise. Surbhi, are you ready to take us to the top? [00:19] >> Do it. Let's do it. [00:21] Alright. I'm stoked that you're here. People wanna follow along. [00:23] >> It's symbl dot ai. [00:26] Who are you selling to? [00:27] >> We're selling to developers and businesses that are really bullish on expanding their brand to go beyond communications and use the power of AI machine learning to build awesome next generation experiences that delights their users in conversations. [00:40] And how did you discover that this was a problem? [00:43] >> We were working in the conversation AI space, both me and my co founder before at Amdocs, and continuously over and over again came across chatbots, but nothing for calls, which actually connects humans together. And we just wanted to put together a platform that enables and empowers people to maximize value information from human to human conversations and not just human to machine. And that's how we started. [01:07] There's so much audio and video data like this being It's created every a powerful space to be in. What do you charge for this? What's the average customer paying you per month to use the tech? [01:16] >> So ACV is dependent upon whether you're a developer or you're an enterprise doing committed volumes. We have you can just start pay as you go without any commitment all the way from like 0.058 per minute, which is like super cheap for anyone to get started with all the capabilities, not just speech to text, but also intelligence, insights, analytics, all included. [01:35] You said 0.05¢? [01:37] >> Point $0.05. Point $05. [01:42] Point yeah. So 5¢. [01:44] >> Yeah. 5¢. [01:44] Okay. Just making sure. Yeah. So all [01:46] >> the way from 5¢ to all the way to, you know, committed volume deals of 100, 200 ks depending upon what's your tiers. So we charge based on volume and usage. [01:56] I see. And so the volume is quantified by minutes. Is that right? [02:00] >> That's right. Yeah. [02:01] Okay. And what about is there a seat based upsell motion or no? [02:06] >> Is there sorry? [02:07] Do you upsell based off number of seats or no? [02:10] >> No. So we truly believe in kinda like peanut peanut butter your intelligence all over the products that you have. So you only pay based on usage and irrespective of how many seats, how many products you apply, it doesn't matter. At the end of the day, it's the number of minutes which are analyzed by the platform that people get charged on. [02:26] Okay. And interesting. I think if don't obviously name the customer, it's private information, but their largest account, are we talking like $100,000 ACV or is do you [02:34] >> have a More than that. Not a million, but, yeah, $150,000 to $200,000. [02:40] Okay. I mean, do you see a path to having, you know, million dollar customers in 2022, 2023? [02:44] >> Absolutely. Super bullish about it and actually talking to a few customers about that. [02:48] Really interesting. And and so, again, it's nice because you've natural upsell based off just number of minutes. It's really simple. Yep. Talk to me about day one. When did you guys launch the business? [02:59] >> May 2018. [03:00] May 2018. Okay. And how'd you get the first customer? Do you remember? [03:04] >> Yes. LinkedIn cold outreach. [03:06] Wow. What what give me, like, the verbiage. What was the copy? [03:10] >> Nothing. It was, hey. We're building conversation intelligence system that will automate meeting notes out of your platform, very, very focused on their particular use case that they were gonna solve for, and got a meeting, took a phone call, followed by a meeting demo, and then boom, pilot signed. [03:27] Wow. Okay. That was number one. How many customers today? [03:30] >> Today, we have customers in higher double digits. [03:33] Double digits, you said? [03:34] >> Higher double digits. Yes. [03:36] When when do you think you can pass a 100? [03:38] >> Soon. Probably first first quarter of the next year. [03:43] Okay. So you're talking, like, seventy, eighty customers and something like that? [03:45] >> Yeah. [03:46] Where are you getting new customers? Still LinkedIn Outreach? [03:48] >> No, no, no. That was way back. [03:51] You never know. Sometimes it works, you know? [03:53] >> Yeah, we focus a lot on generating content and just SEO organic sign ups through developer hackathons, community events, all of that. Our entire motion is kind of like product led acquisition. That's kind of what we do. So, developers sign up on the platform, get activated, try. We see whether they are from which domains are they activated, have they qualified from a product usage, and then either we reach out to them or get reached out by their [04:20] >> product teams, and that's how we get connected on meetings with them. [04:24] Fascinating. And today, like across all your customers, how many, like, I don't know what the right word is, but how many minutes are you managing per month? [04:31] >> We are doing millions of minutes, and we've been doing that since, I think, the last seven, eight months, specifically once products matured post COVID and implemented some of the key use cases that are giving value in accessibility compliance or call tracking, which are the most important ones. Since then, we have really taken off on the minutes consumption. [04:52] Are we talking like 3,000,000 minutes a month or like 30,000,000 No, minutes per [04:56] >> no, not 30 yet. Between five to 10. [04:59] Five to 10. And how many I wanna get a sense of growth rate. How many more minutes are you adding per month? [05:05] >> I would say 20% is kind of like our average growth. [05:08] Wow. Okay. I mean, that's pretty impressive. [05:11] >> Yes. Which is why we raised the Series A. [05:14] Okay. So tell me about that. When was the Series A? [05:16] How much? [05:17] >> Yeah. We just closed, I think, couple of weeks back, a 17,000,000 Series A, which was led by Greatpoint Ventures. Really pumped to work with Real Lean and got them from there. And they have scaled massive enterprise scale companies. So yeah, super pumped. [05:30] And why do you need the capital? Because obviously there's dilution associated with it. [05:34] >> There is. And that's a great question because like, that's always something that we think about as entrepreneurs is like, we take the capital for growth as opposed to really surviving. That has always been like one of our motives that we see an opportunity, it's already working, can we double down on the investment in our developer evangelism or relations that we are doing? We're already writing pieces of content that's getting the reaction. Can we actually do it [05:58] >> 10x times? Things like that is always an opportunity of growth for companies, and I think timing is so critical based on where we are today, where businesses have started to realize that transcription is not good enough. They need something more than that. And, like, that's what we're bringing to the table, which makes this time really exciting. [06:16] Mhmm. And, Surbhi, most folks, most of the deals I'm seeing today, at least folks that come on the show, Series A's folks are selling between 10 to 20%, say it's pretty standard. Were you guys sort of in the standard range or do you do something weird? [06:26] >> No, standard range. [06:27] Standard range, okay. [06:29] So that would be like 170,000,000 to $250,000,000 ish valuation. Did that feel right for you or did you feel sort of that was high or low? [06:37] >> We did a 17 no, I mean, it wasn't the range that you're talking about. It was different. [06:44] I'm sorry. I did that wrong. Sorry. Would be between 100 and 200,000,000. [06:52] >> Yeah. So a little lesser than your lower range, the one that you just mentioned right now. But I think it was just a function of where we are as a company and what was our previous because we got a pretty good multiplier based on our previous valuation. [07:04] Well, yeah, so what was the 4.7 that you raised in 2020, I think? [07:09] >> Yeah, it was a 4,700,000 round that we did that time. [07:12] But no, but I'm curious how much you grew valuation over the past, like, eighteen months. Can you share that? [07:17] >> Like, four x. [07:19] Four x. Okay. Got it. So you were like 20,000,000 valuation back in 2020? [07:23] >> Somewhere around that. [07:24] Interesting. Do you do you come from a bootstrap background? Did you bootstrap like your first company? [07:29] >> We first company? [07:31] What do [07:31] >> you mean by that? [07:32] Well, no. I don't know if you had a first company. I'm just curious. Is this your first [07:34] >> Oh, this is our first company. Yeah. It is. [07:38] And who is we? [07:40] >> Me and my co founder. [07:42] Well, how did you guys meet? Who are they? [07:44] >> We were so Toshish, we were together in Amdocs, the same organization that we were working with, working together on the product that we were really pumped to get to market, and then ideated same time and then jump ship. [07:56] So were you guys just peaceful at the start? You said, You know what? We'll just do a fifty-fifty split? [08:00] >> Yes. [08:01] You should have fought for 60%. Know? Now you say, You know what? I I have more charisma. I'm doing all the podcast interviews. You know? [08:09] >> Well, you haven't met him yet, So we'll take that for the next time probably. [08:14] That's funny. I'm I sure [08:15] >> bet you'll go and tell him sixty-forty. [08:18] That's so funny. I'm sure he's a great guy. So, okay, cool. So you split 50 to get the start. You're growing now. Now a lot of founders that are, you know, doing the kind of raises you're doing, always ask me, Nathan, what's a standard pool that we should be setting up? I imagine you guys set one up. How much is your ESOP pool today? [08:31] >> We did. We did a 10%, 10% at our previous rounds, but this round specifically, we set up actually 15%. We set up a higher ESOP one at this time because this is a great time to get awesome people in the company and we wanted to make sure not just we get great people inside but also incentivize the people which are inside the company. It's really important that people inside the company continue to get their ESOPs refreshed, [08:56] >> I think, as with their years of contribution. And we have some awesome people that have completed two years, three years [09:02] So in the How many folks full time now? [09:05] >> 54. [09:06] Wow. Okay. And what's the split between, like, how many engineers? [09:10] >> 80% engineers still. We are just building out our go to market team, which is a big thing that we took on after our series A. That was one of the biggest motivations of investment, those dollars. 80% is engineering and 60% of the overall company actually is in India. We are split between India and Seattle. So yeah, sixty to sixty five percent in India, thirty to thirty five percent in The US. [09:32] Which part India? Pune, Chennai, Bangalore? [09:34] >> Yeah. So Pune is majority of the team. We have some people in Bangalore, some people in New Delhi. And here in The US, we are mainly centered in Seattle, and we have some people in the Bay Area, some people in Boulder, so kind of split like that. [09:46] That's amazing. And then going back to know I asked you what, like, highest customers are in sort of total number of minutes per month, what would you say the sweet spot is? What's the average customer paying you per month? [09:55] >> I think 30 to 40 k is, like, a great area for people to kind of get started. [10:01] ACV, annual. [10:02] >> Yeah, yeah. And that way, it's very comfortable for them to get started by that amount and start seeing the value at a very small percentage of conversation data they have, and then go from there and keep incrementing it. There are some folks which already know the use cases, and they usually start at 200 above because they exactly know how to start. This is the volume that I want to implement, and that's how I go ahead and [10:25] >> get started. But for the folks that are trying to experiment with the use cases for them, that that is a good sweet spot. [10:31] Yep. Yep. So I mean, we can take three well, $40,000 ACV, 70 ish customers. I mean, you guys are doing, $250,000 a month right now in revenue, something like that. [10:38] >> I cannot disclose that information at all. [10:41] I'm just multiplying your numbers. [10:44] >> I'm I did not share the previous numbers and letter numbers. So yeah. [10:48] No. You did share though. You did share those numbers. You said you had something between 50 and a 100 customers and a $40,000 average you can multiply. Right? [10:54] >> But those 50 to 100 are split in between pay as you go, committed volumes all across. [11:00] Okay. So 40,000 is not an average then? [11:03] >> Yeah. I mean, average across committed customers, not across pay as you go customers. Those are the two different kind of customers that we have. So developers which are already upgrading from the platform, they sign up for a different amount because they are just experimenting. And then these are the other customers that basically we sign committed volume deals with. It's a pretty similar Twilio model. So it's base revenue and that there's a variable revenue. [11:24] You you can't be far, though, sorry, from a $3,000,000 run rate. You've got to be flirting with it. [11:29] >> I cannot disclose that information. [11:35] >> I'm sorry. I'm gonna be a pain here, but yeah, no. [11:38] What what revenue multiple you shared valuation on the Series A. I'm curious because I like these benchmarks like 10x, 20x, 50x. What was the revenue multiple? [11:48] >> Revenue multiple was, yeah, 50x. [11:51] Five zero? Yeah. Does it make you nervous growing into that valuation or no? You're ready for it? [11:56] >> No. Totally ready for it. It's I think it's a lot about the opportunity that lies in front of us that we can tap into. It was all a function of manpower. Like this round was so exciting because we had bunch of pipeline, but no one to actually we have literally one sales guy, like that's insane. And we grew from like $0 in revenue to where we are right now over the last kind of like twelve months. [12:19] Oh, so you had no revenue this same time in 2020? [12:25] >> At 2020, same time, we were doing like peanuts. [12:30] Five k a month? [12:31] >> Yeah, we had customers a little more than that. We had customers that was with us from a beta customer standpoint, but we only launched our platform post COVID. That's when we actually became live from a self-service perspective. Did [12:45] >> not have self-service function after COVID. [12:46] I see. [12:47] >> So all the growth that we have come across is over the last twelve to fourteen months. [12:51] Yeah. Your capital must be like pretty messy though. Mean, because you did like $120 k pre seed round back in February 2019. Then you did another 1,800,000 pre seed, I think in September 2019, right? [13:01] >> Yeah. So 1,800,000 included the 120 k that we got from Techstars. So 1,800,000 was our first round that we did. That was the first price round that we did. [13:10] Oh, okay. Okay. Okay. And that was what? Like a like a 10 cap, something like that? [13:15] >> Yeah. Interesting. [13:16] And Techstar standard deal, think, is what? 120 k for 7%? [13:20] >> That's right. Yeah. 6%. [13:21] Yeah. 6%. 6% for one twenty. Interesting. Very and that was Seattle? [13:25] >> Yeah. That was Seattle. [13:26] Yeah. Very cool. [13:27] >> Talk to me. Actually, we were in the Bay Area, we moved to Seattle just for Techstars. [13:32] Smart. Oh, that's very cool. Real quick. I'm trying to get more founders to do this pay as you go model like you're doing because your net dollar retention can go through the freaking roof. When you look at your last twelve months, I assume you guys are well above a 100% NDR. [13:43] >> Yeah. One twenty five. [13:45] Well, interesting. I think bet you guys should get up to, one fifty, one sixty. [13:48] >> Yeah. We wanna do at least one thirty two by the end of next quarter. That's our objective. [13:52] Is that, like, the key thing when you're pitching a series a? Is that one of the key metrics? [13:56] >> That is. Absolutely. [13:57] Yeah. What was the second most important metric? [14:00] >> Dollar. [14:01] Just like revenue growth. [14:03] >> Yeah. Absolutely. Revenue growth is an important number for us. And obviously, number of developers on the platform, I think that also is really critical. [14:10] Alright, Surbhi. Let's wrap up with the famous five here. Number one, favorite business book? [14:15] >> Hard Things About Hard Things. [14:17] Number two, is there a CEO you're following or studying? [14:20] >> Jennifer Tejada, PagerDuty. [14:22] Ah, yes. Number three, what's your favorite online tool for building the business? [14:26] >> Notion. [14:27] And number four, how many hours of sleep do get every night? [14:31] >> Six. [14:33] Six. Okay. That's not horrible. And what's your situation? Married, single, kids? [14:37] >> I am married. My husband lives in Sydney, Australia. [14:39] Oh, wow. Okay. Any kids? [14:40] >> No. [14:41] Okay. And do you mind me asking how old you are? [14:44] >> I'm 34. [14:45] 34. Last question. [14:46] >> Something you wish knew when you were 20. [14:49] >> Start a company right now. Don't wait until you're 32. [14:54] Guys, symbl.ai helping you guys make more sense of all the video data you're capturing during COVID, post COVID, organize it, pay per minute, analyze it. They've got over, know, call between 1,500 customers already on the platform scaling nicely, doing like five, ten grand a month in revenue like a year ago. Now well over that. Did a $17,000,000 series A recently at a 50X revenue multiple. She's gonna hate that I'm saying this, but if it's a 50X [15:14] multiple and an 80,000,000 valuation, because they sold 10 to 20%, that we can back into revenue of about 1,500,000 run rate about a year ago. She's gonna smile and hate me for that. She can't comment, but check them out. I'm very bullish on these guys. Surbhi, thank you for taking us to the top. [15:28] >> Absolutely. Thank you so much, Nathan. [15:31] One more thing before you go. 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 Central. [15:57] Additionally, remember these recorded founder interviews go live. We release them here on YouTube every day at 2PM Central. To make sure you don't miss any of that, make sure you click the subscribe button below here on YouTube, the big red button, and then click the little bell notification to make sure you get notifications when we do go live. I wouldn't want you to miss breaking news in the SaaS world, whether it's an acquisition, a big fundraise, [16:19] a big sale, a big profitability statement or something else. I don't want you to miss it. Additionally, if you want to take this conversation deeper and further, we have by far the largest private Slack community for B2B SaaS founders. You want to get in there. We've probably talked about your tool if you're running a company or your firm if you're investing. You can go in there and quickly search and see what people are saying. Sign up [16:41] for that at nathanlatka.com/slack. In the meantime, I'm hanging out with you here on YouTube. I'll be in the comments for the next thirty minutes. Feel free to let me know what you thought about this episode and if you enjoyed it, click the thumbs up. We get a lot of haters that are mad at how aggressive I am on these shows, but I do it so that we can all learn. We have to counter those people. We [17:00] got to push them away. Click the thumbs up below to counter them and know that I appreciate your guys'support. All right. I'll be in the comments. See you.

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All figures on this page are taken directly from interviews or are estimates from public sources and proprietary models. Not financial advice. Read full disclaimer.

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