Founder Interview
How Any.do Scaled to Over 100,000 Paying Subscribers and 150% Growth in Six Months (Interview with Founder and CEO Omer Perchik)
- Interview Date
- May 16, 2018
- Interviewee
- Omer PerchikFounder and CEO
Company Metrics at Interview Time
Paying Subscribers (2018)
over 100,000
Users (2018)
over 20,000,000
Growth (last 6 months) (2018)
about 150%
Gross Annual Churn (2018)
40%
Team Size (2018)
20
Historical Snapshot
These numbers were reported by Omer Perchik during the interview recorded in May 2018 and are a historical snapshot, not current figures. See Any.do’s current numbers.

Key Takeaways
- 01Any.do launched in 2011, first on Android and then on iOS and the web, and focused on design early as a key differentiator
- 02The company had over 20,000,000 users and over 100,000 paying subscribers as of 2018
- 03The subscription costs about $35 a year, and many users pay for it up front
- 04Paid acquisition was only started in December 2017, and customer acquisition cost quickly fell below day-one ARPU
- 05The company grew about 150% in the six months leading up to the interview
- 06Gross annual logo churn for paying customers is 40%
- 07Any.do is profitable as of the interview date
- 08The team of 20 is split between Tel Aviv and San Francisco, with the majority in Tel Aviv
- 09The company receives over 1,000,000 tasks per day, with at least 20% identified as actionable by their AI
- 10Biggest investor is 8VC, with $6.5M publicly disclosed in total funding, though the actual total is higher
Company Metrics at Time of Interview
| Metric | Value | Source |
|---|---|---|
| Users (2018) | over 20,000,000 | Founder interview, May 2018 |
| Paying Subscribers (2018) | over 100,000 | Founder interview, May 2018 |
| Subscription Price (2018) | about $35 per year | Founder interview, May 2018 |
| Growth (last 6 months) (2018) | about 150% | Founder interview, May 2018 |
| Gross Annual Logo Churn (2018) | 40% | Founder interview, May 2018 |
| Team Size (2018) | 20 | Founder interview, May 2018 |
| Total Funding (publicly disclosed) | $6.5M | Founder interview, May 2018 |
| Daily Tasks Received (2018) | over 1,000,000 | Founder interview, May 2018 |
| AI-Actionable Tasks (minimum) (2018) | 20% of daily tasks | Founder interview, May 2018 |
| Year Founded | 2011 | Founder interview, May 2018 |
| Assistant Alpha Users (2018) | about 1,000 | Founder interview, May 2018 |
| Day 30 Retention vs. Competitors, per SimilarWeb and Google Benchmarks (2018) | about 6x to 7x | Founder interview, May 2018 |
Growth Breakdown
Users and Paying Subscribers
Any.do had over 20,000,000 users and over 100,000 paying subscribers as of the interview. Omer said the company had grown about 150% in the six months before the interview.
Revenue Model
The primary revenue stream is a subscription priced at about $35 per year. Paid acquisition was introduced in late 2017 and quickly reached a point where customer acquisition cost was lower than day-one ARPU, meaning the company recoups its acquisition spend within a single day on a cash basis.
Team and Locations
The team consists of 20 people split between Tel Aviv, where the majority are based, and San Francisco. The team is primarily composed of iOS, Android, and web developers.
Profitability and Funding
Any.do is profitable as of the interview. The company has publicly disclosed $6.5M in total funding, with its largest investor being 8VC. Omer noted the actual total raised is higher but has not been disclosed.
Growth Strategy
Design-First Product Approach
Any.do differentiated itself early by prioritizing design at a time when most productivity apps did not. This focus helped it grow to become what Omer described as the most popular task management app, reaching over 20,000,000 users.
Freemium to Paid Conversion
The company uses a freemium model where conversion to paid happens early in the user journey. Omer compared the psychology to a gym membership, where users pay upfront to signal commitment, and said the vast majority of conversions happen very early in the product experience.
Paid Acquisition with Immediate Payback
Starting in December 2017, Any.do introduced paid acquisition for the first time. The team quickly optimized to a point where customer acquisition cost fell below day-one ARPU, allowing the company to recoup spend on a cash basis within one day.
AI-Powered Task Completion as Future Growth Driver
Omer identified the personal assistant feature, which uses AI and human agents to complete tasks on behalf of users, as the company's long-term growth engine. The assistant was in alpha with about 1,000 US users at the time of the interview, with the team iterating toward product market fit before scaling.
Retention Focus Over Competitor Benchmarks
Any.do tracked retention by measuring task editing or completion rather than simple logins. Omer cited third-party data from SimilarWeb and Google showing day-30 retention approximately 6x to 7x that of competitors.
Best Quotes
“So Any.do is the world's most popular task management app with over 20,000,000 users with a current business model of subscription where people can pay us for features within the product. We have over a 100,000 paying subscribers growing pretty rapidly.”
“So I can say that within the last six months, only the last six months we've grown like 150%.”
“So the subscription is like $35 a year. One of the unique things about our product is that it's very similar to the psychology of a gym. So a lot of people are willing to pay upfront for a subscription model because they're kind of like want to show commitment to the type of product that they'll be using.”
“So until December of last year, we've never done any paid acquisition whatsoever. And in December we started and very, very quickly we got to the point where customer acquisition cost is actually lower than day one ARPU.”
“So churn for paying customers ... because it's mostly yearly users, so it's 40%, which I think is okay, I don't know.”
“We're 20 people. We're split between Tel Aviv and San Francisco. Vast majority of the team is in Tel Aviv. You know, mostly developers like iOS, Android, web, stuff like that.”
“So publicly, it's 6.5, but it's actually more than that. But we haven't shared the data yet.”
“We're profitable, so it's not about bridge rounds.”
“My biggest objective and where I want to focus vast majority of my resources is to focus on getting the product market fit for the assistant. Everything else is not as interesting.”
“Because that model, over time, subscription based model for a to do list, is a relatively capped market. It's not going to be a multi billion dollar market. Assistant has the potential of being that. And so that's where I'm spending vast majority of my money.”
What Happened Next
At the time of this interview in May 2018, Any.do had over 100,000 paying subscribers, was profitable, and was actively iterating on its AI-powered personal assistant feature with roughly 1,000 alpha users in the US. Omer described the assistant model as the company's primary long-term focus, with the subscription business serving as the foundation while the team worked toward product market fit on the new product. Visit the Any.do company profile on GetLatka for current figures.
View Any.do’s current profile and metricsFull Transcript
Chapters
- 0:01Introduction and What Any.do Does
- 0:14Business Model and Paying Subscribers
- 0:30Growth Rate Discussion
- 1:49Subscription Pricing and Paid Acquisition
- 2:52The AI Personal Assistant Vision
- 3:45How the Assistant Works in Practice
- 9:53Churn and Retention Metrics
- 12:35Team Size and Locations
- 12:56Funding and Profitability
- 14:31Capital Allocation and Growth Strategy
- 17:09Why the Assistant Is the Bigger Opportunity
- 17:41Famous Five: Books, CEOs, and Tools
- 19:11Closing Advice on Hiring
Introduction and What Any.do Does
Nathan Latka
00:01Hello everyone. My guest today is Omer Perchik. He is the founder and CEO of a company called Any.do. That's Any. Do. All right, Omer, are ready to take us to the top?
Omer Perchik
00:01Sounds good.
Nathan Latka
00:01All right, tell us about the company. What do you guys do and how do you make money?
Business Model and Paying Subscribers
Omer Perchik
00:14So Any.do is the world's most popular task management app with over 20,000,000 users with a current business model of subscription where people can pay us for features within the product. We have over a 100,000 paying subscribers growing pretty rapidly.
Growth Rate Discussion
Nathan Latka
00:30What's rapid gain? Like are you talking like a 100% year over year growth or?
Omer Perchik
00:34More than that. More than a 100% year over year.
Nathan Latka
00:37Okay. But I mean like wait like 400% or between a 100 and Like
Omer Perchik
00:40we don't like we don't discuss these details, but I can say that it's more
00:43than 100
Nathan Latka
00:43You can't come on the show and
00:47say, We're growing really, really fast. And then when I say, Well, what's the number? And go, I don't know.
Omer Perchik
00:53So I can say that within the last six months, only the last six months we've grown like 150%.
Nathan Latka
01:01Then give us more the backstory. So when did you launch the company?
Omer Perchik
01:04So we launched the company back in 2011, across initially Android, like late of twenty eleven, then Android, then iOS.
01:14And web. We've grown to become the most popular one through the fact that we really focused on design early on, so everybody does well designed product these days, but back in the day when we started, nobody did.
Nathan Latka
01:27I hear child labor in the background.
Omer Perchik
01:29Yeah. So it's in the far distance. I apologize. Like, I closed myself in the room at the end of the house.
Nathan Latka
01:36I'm kidding. How many how many kiddos you have?
Omer Perchik
01:38I I have one kid. Sorry about that.
Nathan Latka
01:40That's very cool. That's great. Okay, good. Twenty eleven productivity tool. Walk me through, if someone listening right now wants to use this, I mean, will they pay you on average per month?
Subscription Pricing and Paid Acquisition
Omer Perchik
01:49So the subscription is like $35 a year. One of the unique things about our product is that it's very similar to the psychology of a gym. So a lot of people are willing to pay upfront for a subscription model because they're kind of like want to show commitment to the type of product that they'll be using. So vast majority of the conversion happens really early on within the product. And more recently, we just started doing paid
02:17acquisition. So until December of last year, we've never done any paid acquisition whatsoever. And in December we started and very, very quickly we got to the point where customer acquisition cost is actually lower than day one ARPU.
Nathan Latka
02:32Meaning just to be clear, they pay $35 for the year up front. You're saying your CAC is below 35. So you get paid back on a cash basis immediately.
Omer Perchik
02:40Yeah. Within one day.
Nathan Latka
02:43Yeah. On a on a on a revenue recognition basis, obviously, it might be many months. That's super healthy. Why did you wait so long to try paid?
The AI Personal Assistant Vision
Omer Perchik
02:52Because the business model that the company aims
02:59to become over time is less premium subscription and more about completion of tasks. So the idea behind the company is not to really build a to do list with subscription. It's to build a to do list that does itself, which requires heavy AI and humans that we've been for many, many years, and we've more recently started launching it for a small segment of users. And that's our future business model. But in order to pay the bills
03:28and in order to grow faster, we had to build, like we had to plug in, you know, a subscription business and that worked very well for us.
Nathan Latka
03:35How do you say it's like task completion is your future business model? I mean, you could argue that you have no control over this. You don't know what task people are gonna put in your system and you don't know when they're gonna complete them.
How the Assistant Works in Practice
Omer Perchik
03:45No, so we basically, we've developed a personal assistant service within our product that basically does your tasks for you. So think about it as kind of like, let's let's just give an example. You write down a task buy flowers for Stacy, our system automatically detects it as something that we can help you with. We put a button next to the task, you tap on the task, it starts a conversational thread between you and an assistant that
04:12asks you for all the relevant questions. How much do you want to spend? When do you want to get it delivered? Where to? And stuff like that. You respond and then within seconds, you'll get a bunch of suggestions of things that perfectly fit to what you're looking for. And we do anything from buying flowers to booking up your next trip, to canceling your Verizon account, to scheduling your appointment with a dentist. We do a very wide
04:37variety of things and you will essentially be paying us essentially per transaction or with a subscription model. It will vary in the future, but that's kind of our long term business model that we're looking for. So it's going to be, in a way, one side of the market will be kind of a marketplace like, like AdWords lead gen type of model, and the other side will be subscription based, which will have additional benefits for the users.
Nathan Latka
05:03Yeah, I mean, gave two examples which make perfect sense with your model, but I mean, people putting their own tasks into your system. I mean, how do you codify that? I mean, there might be spelling errors. It might be something like send employee offer letter to James.
Omer Perchik
05:16Years and years of NLP and
Nathan Latka
05:19give me that example though. My task is get offer letter to James before the end of the day on Friday.
Omer Perchik
05:25Yeah, so in this particular case, so like it's okay, one thing that you're asking, like what you're saying is a task that we won't be able to do. So there is a large portion of tasks that we will never be able to either However, understand or
05:40for years we've developed AI and machine learning to be able to detect tasks that we can do.
Nathan Latka
05:40Got it.
Omer Perchik
05:40And that portion is actually very, very high. So we can't really say the number, but it's a very high number. It's decent tens of percentages
05:56from within our database.
Nathan Latka
05:57Can you say in the millions of tasks you feel like you can replicate? Okay.
Omer Perchik
06:02No, no. So I'm trying to think what's the best number I can give you.
06:11Tens of percents. It's over 20% of the tasks we're getting on a daily basis.
Nathan Latka
06:16Oh, I see.
Omer Perchik
06:17Think we're keep you complete. And every day we're getting over a million tasks coming in every every new day.
Nathan Latka
06:25So there's 200,000 tasks that you think you can use with machine learning and AI solve.
Omer Perchik
06:30At least. Yeah. At least. The 20% is the bare minimum.
Nathan Latka
06:33And you feel like it will be more efficient for me to have a conversation with your bot about where I want to send the flowers, what the handwritten note I'll should hear make. Okay. Me finish my question. Talking to your system versus just doing what I do today, which is I go Google flower delivery in Denver, Colorado, send to my mom's address, here's the handwritten letter. Why would I take the time to talk to your system
06:53more versus just going and executing the task?
Omer Perchik
06:53Would
06:55be far faster, right now.
Nathan Latka
06:56You're sure it'll be faster.
Omer Perchik
06:58Yeah, it's going to be faster, we're going to learn you. Think about every executive that has an assistant that does all these things for them. You basically will spend a lot of time doing the Google research, signing up, checking in, finding the flowers, all of these things. In this case, you're basically offloading a lot of your work to someone else so you can focus on the things that you're best in. So you'll have more time to
07:20do podcasts or whatever it is. So in our case, it's just the ability to offload things that you're not the best at and you don't want to spend time on. Yes, if you want, you can do them by yourself. There's a portion of people that will never want to utilize a personal assistant. But we believe that
Nathan Latka
07:38Yeah, a lot of I'm my question is not a desire thing. It's just a time thing. You're sure that it will be quicker for me to do the task by talking to your human or bot than it would be for me to just execute it myself.
Omer Perchik
07:49Right. So obviously there will be tasks that it won't be cost effective, but there are tasks that it will be cost effective, and those will be the tasks that we focus on. It's not even necessarily a question of time, right? So let me give an example. If you write down a task that you want to cancel a Verizon account or something, or disconnect from Comcast, it involves so much pain for you and so much mental headache
08:12that you would just like, okay, I'll even pay $200 to get it off my plate, and let someone else take care of it for me. There are a lot of things in our daily lives that are just hectic that we do over and over again. We don't enjoy doing, but we need to do. And our claim is, no, you don't have to do that. Someone else can do that on your behalf, and we can actually surface
08:34these type of services for everyday people within a simple app they're only using to manage their everyday life.
Nathan Latka
08:40Yeah. This is like Fiverr started by getting a marketplace of people that could do tasks. You're doing this basically marketplace, but from the other side, you're getting the whole task list and then kind of aggregating and you'll solve it on the back end how to get them done.
Omer Perchik
08:52Right. Right.
Nathan Latka
08:53That's great.
Omer Perchik
08:54It's a... In a way. Yeah.
Nathan Latka
08:55Yeah. No. It makes a lot of sense. Okay. So let me just summarize here. Launched in 2011, twelve month payback, just turned on kind of paid acquisition, growing a 150% over the past six months alone. You've passed a 100,000 paying customers, right? That's what you said at the beginning.
Omer Perchik
08:55Right.
Nathan Latka
08:55Okay. I mean, if they're paying $35 a pop, you guys are north of $3,500,000 in ARR. Okay. And, and is that your only revenue model? There's no
09:17marketplace. There's no transaction fee right
Omer Perchik
09:17No,
Nathan Latka
09:17Okay. When does that launch?
Omer Perchik
09:22It's already launched, but we're still in alpha mode. So there's about a thousand users in The US that are currently getting AB tested and we are working on kind of what we define as KPIs that are like the answer for yes, we have product market fit. Right now we don't feel like we have a strong enough product market fit, so we're iterating.
Nathan Latka
09:41Okay, got it. And again, from a growth perspective, 3,500,000 today, which means you're at call it 1.25 or sorry, one point seven five six months ago. And that's accurate, It's 150% growth?
Omer Perchik
09:52Yeah, something like that.
Churn and Retention Metrics
Nathan Latka
09:53Okay. Churn, super tricky in this kind of space, at least other task management tools I've talked to. Tell me about your churn.
Omer Perchik
09:59So churn on what? On paid customers or on users using the app? What type of churn?
Nathan Latka
10:06Well this is more for me about you. What do you care more about?
Omer Perchik
10:11I care about both, but
Nathan Latka
10:13Okay, me both.
Omer Perchik
10:15So churn for paying customers zero per year because it's mostly yearly users, so it's 40%,
10:27which I think is okay, I don't know.
Nathan Latka
10:29So 40% is kind of gross logo churn per year.
Omer Perchik
10:33Yeah.
Nathan Latka
10:34Yeah. So what do you mean? You kind of shut off that and say, I don't know if that's good or bad.
Omer Perchik
10:38I don't have a lot of benchmark on that. I don't know whether it's a good number or a bad number, but
10:46that's the data that we have. On a retention basis and stuff like that, I can share a lot about user retention compared to our actual numbers, but I can say that from benchmark tests that we've had, both from third parties like SimilarWeb or even Google gave us some data, we have about five to 10x the retention of our competitors, like day seven, day 30, day one. Day one, no, but day 30, have about 6x to 7x
11:17more users in terms of retention.
Nathan Latka
11:21Yeah. Well, so how do you measure retention? Someone logged in on day five? You consider them active?
Omer Perchik
11:26Editing a task, completing a task, one of these two things.
Nathan Latka
11:30Okay.
11:31So it's not just a login?
Omer Perchik
11:32No.
Nathan Latka
11:33Got
11:34it. And so if a cohort signs up today, six months from now, how many of them will create at least one task in that month?
Omer Perchik
11:43This is something that we were not sharing.
Nathan Latka
11:45Okay, got it. And is that something you're not sharing because you feel like you're really good at it or you're not sharing because you're embarrassed and you still need to improve it?
Omer Perchik
11:51No, I think in the market that we're in, we are the first.
Nathan Latka
11:57Okay, got it. You feel like you're above average.
Omer Perchik
11:59Again, think about it as a gym, right? A lot of people sign up to a gym, but a lot of them churn because it's hard for them. But if you had the world's best gym where people come all the time and they're very much fit, would you just share your numbers? I'm not sure.
Nathan Latka
12:13Yeah, not necessarily. I mean, look, the churn number is really high. I mean, 40% churn annually for a SaaS company is like super, super high churn in my opinion, but you're also not really selling B2B. It's really B2C SaaS. Right?
Omer Perchik
12:13Yeah.
Nathan Latka
12:13So maybe it's actually, I don't know B2B, B2C a lot. Maybe that's actually better than average for B2C. Don't know. Tell me more about your team. So, so how many of you guys are there and
12:34where are you guys based?
Team Size and Locations
Omer Perchik
12:35We're 20 people. We're split between Tel Aviv and San Francisco. Vast majority of the team is in Tel Aviv. You know, mostly developers like iOS, Android, web, stuff like that.
Nathan Latka
12:47Are you ex Israeli defense?
Omer Perchik
12:49Yeah. Like everybody.
Nathan Latka
12:50Oh, you really are. I was joking.
Omer Perchik
12:52Actually are. You have to serve the army. So everybody's Israeli defense.
Funding and Profitability
Nathan Latka
12:56That's funny. Okay. Good. And then talk to me about funding. You bootstrapped or raised capital?
Omer Perchik
13:00No. We raised capital. Our biggest investor is 8VC. If you know, Joe Lonsdale.
Nathan Latka
13:05Yeah. Much total have you raised?
Omer Perchik
13:08So publicly, it's 6.5, but it's actually more than that. But we haven't shared the data yet.
Nathan Latka
13:14Is that because you just raised or you raised in the past or
Omer Perchik
13:16you No, don't wanna share because it doesn't matter.
Nathan Latka
13:16Why doesn't it matter?
Omer Perchik
13:16Because why would it matter?
Nathan Latka
13:22Well, just trying to figure out you've already shared 6.5. Why would you not share full? Either you share none of it or you share all of it. I'm curious why you wouldn't share some of it.
Omer Perchik
13:30No, because the 6.5 is already public, and then we kind of made the decision that it's no longer important, and we're just not sharing from that point forward.
Nathan Latka
13:37Well, many people wouldn't share a bridge round if they had to do it because it's bad signal for the company. Did you guys do a bridge round?
Omer Perchik
13:41We're profitable, so it's not about bridge rounds.
Nathan Latka
13:45Oh, you guys are profitable at this point?
Omer Perchik
13:45Yeah.
Nathan Latka
13:45Great. The last round that you did that was public was in what month?
Omer Perchik
13:53The last one, I don't know. Don't I even remember. What is the last thing that is public? We're just not talking about funding. It doesn't matter that much. We're profitable, we're going quickly, we are focused on what we're going after, which is the assistant model. We got to CAC to be lower than day one ARPU. That's the state of the business. The rest is gravy.
Nathan Latka
14:17Yeah. Well, mean, just to be clear though, depending on cash you're working with, could choose to be more aggressive with acquisition or less aggressive. And there's all kinds of... You could choose to go buy up into a roll up strategy if you have a lot of cash on the balance sheet. I I want to try to understand your strategy, right?
Capital Allocation and Growth Strategy
Omer Perchik
14:31My strategy is to really focus on getting to product market fit with the assistant and then not spending money that they don't need to spend because that's the 1000x multiplier on where I'm at. So I can hire a bunch more engineers and I can spend far more money on paid acquisition, but I want to focus it on something that we see a huge upside in, which is the assistant model. And so until we prove that, there
14:56is no point in just wasting investors' money for something that might not work.
Nathan Latka
15:01Okay. You keep contradicting yourself though. So you are spending money on CAC though, but you just said you don't care
Omer Perchik
15:07You about use CAC in a way that I'm profitable within a day. So if I spend $100 today, I make $120 tomorrow, as an example, I'm profitable in doing that. If I'll end up spending, let's say 10x that, I might not get like 10x point two a day later.
Nathan Latka
15:22That's why I'm asking. So you feel
Omer Perchik
15:24like I'm you that balance based on the business decisions that we have, which is we prefer not to spend far more money so we can actually focus on the assistant model.
Nathan Latka
15:36Yeah, but Omer, is that a preference or is that because you can't spend more money at
Omer Perchik
15:36Let's
Nathan Latka
15:36that efficiency
Omer Perchik
15:41put it. As I said, we're profitable. So if we're profitable and we're in this case, it means that we made the decision. We can spend more money. Every profitable company can spend more money. Right? That's kind of like by definition.
Nathan Latka
15:55Yeah. Omer, my question is really simple. I'm asking if you feel like you can hold that cap and that payback at that level, why would you not spend a billion dollars in that channel? That's the question.
Omer Perchik
16:06Because no billion dollars could be spent in a way that is still the higher the spend you have, the lower the ROI becomes, because you're ending up spending to less and less relevant audiences. That's how the market works.
Nathan Latka
16:19That's exactly my question.
Omer Perchik
16:20Theoretical question that doesn't have connection to the real world. That's what I'm saying.
Nathan Latka
16:24No, Omer, it has a very real connection to the real world because there's diminishing returns in any channel. What I'm trying to understand is if you feel like you've actually already maxed out the channel
Omer Perchik
16:24Well, at that far from
Nathan Latka
16:24Okay,
Omer Perchik
16:24maxing
Nathan Latka
16:24and if you feel like you haven't maxed out the channel, you'd spend more in it. So I'm trying to figure out why-
Omer Perchik
16:24It's
16:43a question of what do we think is the most important piece of the business. I can grow faster, but growing faster is not my biggest objective. My biggest objective and where I want to focus vast majority of my resources is to focus on getting the product market fit for the assistant. Everything else is not as interesting. So I do spend some resources on that, but not the vast majority of resources because that's just not as interesting.
Why the Assistant Is the Bigger Opportunity
Omer Perchik
17:09Because that model, over time, subscription based model for a to do list, is a relatively capped market. It's not going to be a multi billion dollar market. Assistant has the potential of being that. And so that's where I'm spending vast majority of my money.
Nathan Latka
17:23You just said you don't care about growing fast, right? But you just articulate...
Omer Perchik
17:27Don't want to grow something that is not interesting enough.
Nathan Latka
17:32Yeah. Yeah. I get it. So the smart system stuff you think is a much larger market. You're okay, a little bit slower growth while you focus on what you think is a much larger opportunity.
Omer Perchik
17:40Correct.
Famous Five: Books, CEOs, and Tools
Nathan Latka
17:41Perfect sense. Alright. Great. Let's wrap up here with the famous five. Number one, what's your favorite business book?
Omer Perchik
17:46My favorite business? Probably Principles by Ray Dalio.
Nathan Latka
17:49Yeah, that just came out. Did you finish reading it or you're still reading it?
Omer Perchik
17:53Finished reading
Nathan Latka
17:53Amazing.
17:54Good. Number two, is there a CEO you're following or studying right now?
Omer Perchik
17:58I don't know, like Bezos, I guess.
Nathan Latka
18:01Don't make it up if you're not
18:02actually-
Omer Perchik
18:02Yeah,
18:05Bezos is pretty amazing at this point. Obviously, I am very fortunate to work with Joe Lonsdale, who's a phenomenal Founder and CEO. He's done a lot of things. I'm very privileged to the fact that I can actually get to learn from him. And I am also very fortunate to have worked with some other amazing people
18:25doing Any. So I follow what they say as well. I follow more ill kind of scenario.
Nathan Latka
18:31Number three, besides your own, what's your favorite online tool for growing a business?
Omer Perchik
18:35That's a great question. Probably Intercom recently became a very favorable tool.
Nathan Latka
18:41Got it. Number... And by the way, do they have a product that allows you to kinda leverage their their chat features inside of your mobile apps?
Omer Perchik
18:47Yes.
Nathan Latka
18:48Oh, great. Okay.
18:49Good.
Omer Perchik
18:49Number one using it, but yes.
Nathan Latka
18:50Yeah. Okay. Number four, how many hours of sleep do get every night?
Omer Perchik
18:53Seven.
Nathan Latka
18:53That's pretty good. Because you got a you got a little one. So so married, one kiddo. And how old are you?
Omer Perchik
18:59I'm 33.
Nathan Latka
19:0033.
19:01Last question, what do you wish your 20 year old self knew?
Omer Perchik
19:06What would I say?
Closing Advice on Hiring
Omer Perchik
19:11Most probably I'd say that like in a hiring perspective, when you're building a team that n plus one has to be equal or larger than n.
Nathan Latka
19:23Say that in
Omer Perchik
19:23Yeah,
19:25so n means that every new person that you bring in needs to be better, equal or better than anyone else on the team.
Nathan Latka
19:33Guys, there you have from Omer. Make sure you're hiring someone equal or better than everyone else on the team. That's how you get smarter, better and create a higher density of sharp people. Launched company Any.do in 2011. Now has a 100,000 customers paying $35 per year. So $3,500,000 in AR. That's up a 150% over the last six months alone. They raised 6,000,000, more than $6,000,000, but 6,000,000 publicly. They've raised churn is about 40% gross logo churn
19:56annually, a $35 CAC, so less than a twelve month payback period. But really he's focused on getting into a new space, which is getting the smart assistant working effectively where they can essentially auto complete tasks for you based off volumes they're seeing and trends they're seeing. And the more than a million tasks that go through their system every single day. They're building this with a team of 20 people between Tel Aviv and San Francisco. Omer, thank
20:17you for taking us to the top.
Omer Perchik
20:18Thank you so much.