SaaStr 806: How The Smartest Founders Are Already Winning with AI: SaaStr CEO Jason Lemkin on My First Million

15 Jun 2025 · 46 min

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Podcast Episode Notes: SaaStr 806 - How The Smartest Founders Are Already Winning with AI

Podcast Overview Podcast Title: The Official SaaStr Podcast Episode Title: SaaStr 806: How The Smartest Founders Are Already Winning with AI Hosts: Jason Lemkin (CEO and Founder of SaaStr), Sam Parr, and Shaan Puri Description: A deep dive into AI applications in SaaS from both content creation and end-user perspectives, examining how founders are leveraging AI for growth, efficiency, and competitive advantage.

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Key Themes and Discussions

AI in Content Creation

  • AI Applications:
  • Content Creation: AI tools are utilized for generating and reviewing content effectively.
  • Customer Support: AI is being integrated into customer service operations for quicker, more efficient responses.
  • Business Insight: AI can provide detailed analysis and insights that surpass human memory and comprehension.
  • Jason Lemkin's AI Experiment:
  • Jason created an AI-powered version of himself that can interact with users and provide business advice.
  • The AI was trained on 12 years of content, including blog posts, interviews, and social media, totaling about 20 million words (equivalent to about 200 books).
  • He discovered that this AI could recall information and provide insights more efficiently than he could.

AI Use Cases

  • Unexpected Applications:
  • AI is used for a range of tasks, from reviewing board decks to serving as a therapist for founders facing challenges.
  • Founders are using AI to evaluate sales scripts and pitch decks more effectively than traditional tools.

The Future of Startups and Investment

  • Challenges in VC Investment:
  • The landscape for venture capital is evolving due to AI, with a shift towards investments in high-growth potential startups.
  • The metrics for success are changing, and investors are looking for startups that can adapt quickly to AI advancements.
  • AI’s Impact on Employment:
  • Jason discusses concerns over mass unemployment in tech as AI automates roles traditionally performed by human workers.
  • There is an ongoing debate about whether companies will need fewer employees or if existing employees will have to adapt to new AI tools.

Insights on SaaS Growth

  • Zero to One Million:
  • Historically, it was deemed difficult to grow from $0 to $1 million in revenue.
  • Growth from One to Ten Million:
  • Now seen as even more challenging due to increased competition.
  • Inevitability from Ten to Hundred Million:
  • Previously, achieving this growth was considered more straightforward but is now disrupted by AI competition.

Recruiting and Company Culture

  • Hiring in the Age of AI:
  • Emphasis on finding top talent has intensified, with a focus on cultural fit and the ability to adapt quickly to changes brought by AI.
  • The traditional approach of hiring to fill roles is shifting as companies adapt to more efficient workflows powered by AI tools.

Key Takeaways

  • AI is Reshaping SaaS: The integration of AI is not just a trend; it's fundamental in how SaaS companies will operate moving forward.
  • Value of Content: Founders can leverage their existing content and expertise to create AI models that enhance their offerings and customer interactions.
  • Investment Strategy: Investors must navigate a landscape where traditional metrics are less applicable, and the potential for disruption is high.
  • Shift in Employment Landscape: The rise of AI will lead to significant changes in the workforce, necessitating adaptability and new skill sets.

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Sponsors

  • Attio: An AI-native CRM that streamlines customer relationship management.
  • Attention.com: Offers AI sales agents that enhance productivity by automating CRM updates and sales processes.

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Conclusion This episode highlights the transformative potential of AI in SaaS, the importance of adapting strategies for growth and investment, and the necessity of evolving company cultures to integrate new technologies. The insights shared by Jason Lemkin and the hosts provide a roadmap for founders and investors navigating this rapidly changing landscape.

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Transcript

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0:01Welcome to the official Sastra podcast where you can hear some of the best Sastra speakers. This is where the cloud meets. Up today on the Saster Podcast. But did you use like Delphi or you built your own tool or what'd you do? I tried a couple of things and then I used Delphi. And then at first we had so much content, it was a little difficult to ingest it. So there is a little bit of work. And then I spend about 10 minutes a day training it, which we could talk about. So there is a little bit of maintenance involved, but it's better than me. And the thing I didn't get until I saw something that was hyper-trained, Like, this is a lot of content, 20 million words, right?

0:38Very few mistakes, very few hallucinations, and the ability to connect things that I can't. I just don't remember. I don't remember what Sam and I said on The Hustle on stage years ago versus when we did an MFM a while versus today. But the AI knows it all. Hey, are you tired of listening to hours and hours of sales calls? Recording is yesterday's game, folks. Yesterday's game. Attention.com unleashes an army of AI sales agents that auto-update your CRM, build custom sales decks, spot cross-sell signals, and score calls even before the coffee's cold, even before the coffee's cold. Teams like Bamboo HR and Scale AI already automate their sales and rev ops using customer conversations.

1:21Step into the future at attention.com slash saster.

1:31Hey, everybody. This episode is brought to you by Adio, the AI native CRM. Just connect your email and Adio instantly builds a powerful CRM. With every company contact and interaction you've ever had, get 15 % off your first year. That's 15 % off your first year at attio.com slash saster. That's adio.com slash saster.

1:58So for this episode, what I'm thinking this is about is this is, and guys, this is going to be generous to us, but what is the smart money doing with AI? And, you know, in betting and sports betting in Vegas, you always kind of want to watch, what are the sharps doing? They tend to be just, you know, maybe 10 to 15 % earlier to understanding things or to recognizing things. And so similarly, Jason, I wanted you on because you've been doing really interesting stuff with AI, both from investing, you're talking to startups that are using them, you're reading all the reports, but also you yourself built this AI tool.

2:30And so I want to kind of get your reaction to a few of the different things. Can you first explain this AI experiment you did where you basically made a body double of yourself out of AI? And like, what was the experiment and what'd you learn? Well, yeah. So Sastr has a lot of content, as you guys know. We have 12 years of content. Some of it's out of date, for sure. Saster being, you're a previous founder who's exited multiple software companies. Now you're like the godfather of like Sass because you have this blog and media company and events business called Saster and you have a huge fund. So that's kind of the...

3:01But probably most interestingly for like seeing the future a little bit is I have about 10 ,000 pieces of content I've written over the years. A lot of it, which is not out of date. And I update it personally. So about 10 ,000 pieces of content. And then we have several thousand interviews like you guys do, but with so many great folks, early ones with Dharmesh, middle ones from Dharmesh. Dharmesh, when HubSpot had just IPO'd, Dharmesh the other day, Yamini last week, Brian Halligan over the years. And we have all of it. And our AI took everything I've written, every tweet I've ever done, every LinkedIn post, every SASTR video from every speaker for 12 years.

3:37Aaron Levy, the week he went IPO for the first SASTR annual to last week when we were talking about AI. all of it ingested in this AI. And so what I instantly saw was as soon as I would talk to this AI, it was much better than me. It was much better than me because I forget stuff. How did you get that information in there? You just hook up RSS, right? The feed for blog. It can scrape the web, which is pretty easy. Soon we'll be able to do other things like MCB, but it's just scraping APIs and RSS. It's really just scraping. You just give a URL. But did you use like Delphi or you built your own tool or what'd you do?

4:12I tried a couple things and then I used Delphi. And then at first we had so much content, it was a little difficult to ingest it. So there is a little bit of work. And then I spend about 10 minutes a day training it, which we could talk about. So there is a little bit of maintenance involved, but it's better than me. And the thing I didn't get until I saw something that was hyper-trained, like this is a lot of content, 20 million words, right? Very few mistakes, very few hallucinations, and the ability to connect things that I can't. I just don't remember. I don't remember what Sam and I said on The Hustle on stage years ago versus when we did an MFM a while versus today.

4:50But the AI knows it all. By the way, 20 million words is like 200 books worth of content. An average book, I think, is like 100 ,000 words. So 20 million words you're saying is you basically gave it 200 books of your own brain and the brains of other guests that have come on your show. Yes. And your goal was to build, was it to build basically an advisor, an AI version of you that could be an advisor to a founder who wants to come and talk to you, ask questions, but you don't have enough time of the day to book calls? Was that the big idea here? I just wanted to learn like you guys did. I just wanted to learn.

5:21I didn't think it would be as good as it was because I used other products and I've used other things and it wasn't as good as my digital AI was. The other interesting thing is the use cases with AI are much broader than you'd expect. Okay. So I didn't expect people to upload their board decks before board meetings and ask for feedback before board meeting. That's an issue case. I didn't expect hundreds and hundreds of founders to use it as their therapist for their company where the growth has slowed. I didn't expect that. I didn't expect so many folks to use it to review their sales scripts, their SDI scripts when there's specific tools to do it, right?

5:58It's so good at reviewing VC pitch decks. It's so good at it, better than anything I've seen. Can you get tactical for one second? So you go to Delphi.ai and you just uploaded the Sassers RSS feed and it did all of the work? YouTube, RSS, Twitter, blog. But could I go to a health guru or a business guru who I subscribe to, who I love? Yes. Can I say YouTube.com slash Alex Hermosi, upload that and it automatically does it? Is this that simple? Well, it's an interesting question. It is prohibited, right? It is prohibited by their website. their terms of use. They prohibit it. But honestly, this is an AI risk.

6:38You could do it. Absolutely, you could do it. You could redo what I did. It might take you a little while longer, but you could just clone exact myself, yourself. And then you could do it just as well as I did. Sam, I've never felt so used and abused when Jess Ma came on the podcast and she was like, yeah, actually, I have my team training in AI of you so that if I'm brainstorming ideas, I don't have to ever call you. I'll just ask the AI what, you know, basically, you'll just be in the meeting with us yeah it's just like we yeah we just took all the podcasts and we're training it on how you think the questions you would ask what you would say reactions you would give and now you're just there in the meeting so she basically hired me without ever paying me right because i have this corpus of content out there i've actually put my brain out there in the public how do i do that like how can't can i just upload a youtube channel and say this youtube creator has great advice and i could upload 800 videos and it will transcribe all of them.

7:30I could go to Delphi. But yeah, you can build all of this. And here's the interesting learning. So we could build a digital Sam and we could do this for next week or whatever. You can do it. My learning from my AI, it's okay that it's not you. This is why, for example, you can train your voice, 11 Labs. And 11 Labs is epic, right? But you can choose, do you want it to be exactly like you, which is what Brian Halligan did? And then I realized that was creepy. I don't want digital Jason to be me. I want digital Jason to be a prime version of me that 90 % of the time is much better than me, but is distinct.

8:02I don't want people confused like Brian, I get like Brian Halligan. And so it's okay that it's not Sam. Like it could be a version of Sam that is better than Sam. So, okay, let's walk through these top 10 learning. So you build this AI. It has 35 ,000 conversations with people. You did that as an experiment. Almost 50 now. There are 50 ,000 conversations and learning number one, you said users will tell AI things that they won't tell humans. What do you mean? Yeah. Well, first of all, before we get there, one obvious, like, there's no way I could do 50 ,000 conversations, is there? Right. I'm not even a people person.

8:39I could do like one or two a day and I get tired. 50 ,000. Just think about the delta between two a day and 50 ,000. But yeah, this is the thing. Like, there are some things that are somewhat unique about me that are early, the amount of content, Sean, like your math, right? The amount of books we're talking about here, right? The amount of content I've written just about B2B, just about building business software. The other thing is there's enough people, I'm not like a super influencer like you guys are, but there's enough people that know the digital me that they already know what to ask me, right?

9:08They've already watched me at an event, they've read the content. So like they ask me things without thinking it's a prompt or a prompt, they just ask things they want to talk about their deepest fears. Like I've partnered with Sam on this podcast, but I'm not sure he's committed as me. I see him doing other things. He's into this accounting software and this Hamptons thing. I'm worried he'll quit my podcast on me. What do I do? And my AI is really good with talking that through you, right? There are thousands of these types of conversations. My co-founder is not as committed. I don't know if my board's going to fire me, right?

9:38I'm only growing 18%. I have 11 months of runway, right? Were you Zuckerberg-ing here? How'd you know what they were saying? Is there some privacy here? How do you know what's being said? It is interesting. And on this app, you can set how much privacy you want. You can anonymize everything. But you can. No, because there's different use cases. If you're using it as a support tool, think about it using it as a support tool. You don't want anonymity for support. How can you follow up with someone? Then there's like a therapy level where you would want true anonymity. And then there's like a slot.

10:06Everything's a slider in AI, in a sense, right? The hard part here is like, so I'm so committed to ChatGPT. So it knows so much of my information because we've had so many conversations. It does. Are we all going to have like files, you know, like our health record where it's like, you know, the background? Because it sounds like I get nervous to switch to any other model because I'm like, oh, ChatGPT, I've already asked it so many questions. It already knows everything. It's an interesting question. Here's what I've learned. First of all, memory is a big deal, right? ChatGPT could already remember questions, but now it's remembering everything, okay?

10:35So it's a moat. From the top folks I've worked with on this, there's, on the one hand, it's a moat, just like being in the Google ecosystem is a moat, just like being back in the day, being in the Yahoo ecosystem was a moat, okay? But the moat is not as deep as we think. Our ability to get trained and up to speed does not require 20 million words. So yes, it is a moat, but if you decided Claude was much better for you, and the point is, and you spent a month just including your day, each day, you're probably there. You're not 100%. It's enough. It doesn't need to go as deep. Somebody had a good startup idea.

11:08I think it was Aaron Levy or somebody was tweeting this. they were talking about Plaid for AI tools. So basically, you'd be able to just like, the way Plaid lets you connect your bank safely to any financial service, to be able to take your kind of memory and context, what ChatGPT knows about you, but port that to some new app that you're trying without handing over everything, but allow it to pull from that. And I was like, oh, that's actually a very interesting idea. If apps will even exist in the future, what will exist instead of apps? We're going through a transition phase, right? We're going through, now we're chatting once again.

11:42We've been chatting since the ICQ days, okay? Since AOL. We've been chatting at our keyboards with people. Now with AI, we're chatting again, okay? But we're starting to not even know where we're chatting with, right? Right now already, like MCP is new, but already today, OpenAI and Cloud can pull from other apps like HubSpot and others and Notion and just pull the data out. I don't have to go to Notion or even Google Calendar or HubSpot anymore. As we live in this, and then people think this Johnny Ive thing for six billions crazy, it's a great bet because we're going to go from 20 minutes a day, 22 minutes a day in chat GPT to 24 hours a day in chat GPT.

12:19And when we're in chat GPT 24 hours a day, we're not going to like pull up a CRM. We're not going to use the interfaces. Like these interfaces are all already dying. You can see it, Sam. And then the amount of time you spend in GPT, like then go to like a B2B app, you're pulling your hair out. It's so dated, isn't it? It's so dated already. It's only 2025 and it's already dated to go to any B2B app. Because everyone talks about the dot-com boom and I never got to, I mean, I never experienced it. But how's this today compared to then? Those days were the first time in Tilei where people feel like they could just do something out of nothing.

12:53Like it was miraculous. It was miraculous. And that is what AI is like today. People are just doing miraculous things and it's exciting. But man, it's super scary for incumbents. It's super scary for incumbents. Do you think that everybody who is maybe a content creator at least is going to have this sort of like the stunt double, this intellectual stunt double the way that you created here? Do you see once you've did this experiment, are you like, this is the future or this was novel, but no, I don't think it's going to last. Like, where did you land after the experiment? I don't think anyone is going to create content without AI going forward.

13:26And the tools are going to change. Like, for example, just for our last big Sassler event, I did all the speaker promos in Higgsfield. Have you ever used Higgsfield? No. It's incredible. How do you spell that? Higgsfield.ai. It's the ex-head of AI from Snap. It's one of the coolest apps on planet Earth. Everyone's talking about this new Google video thing, right? But they were already doing it. Higgsfield.ai. All you have to do to Higgsfield.ai is I can take a screenshot of us right now. I'll put it in Higgs field and it will create a movie out of it. Okay. And it will, and you can, and there's a lot of different ways, but there's a really simple way you can do it.

13:58You can take an initial photo and an end photo and it will just connect them with the narrative. So I would take like a picture of Yamini just off her headshot off HubSpot and then take a picture of like a stage at Sastra. And it would just make a video of Yamini waving to the crowd and running on stage on Sastra and being excited. And so a year ago, all the, all the digital promos were a static, you know, a classic static headshot with some Chrome around it. Today, everyone got a video, a really cool video, right? Next year, it will be me and Yamini talking for 10 minutes about AI, and neither of us will have had the conversation.

14:31It doesn't mean I won't exist, but of course, that's already, we could already almost do that. But I did all these things. Now, I did, instead of waiting for our designer two months to do a static thing and upload it to Dropbox and me forget get where it was and lose the URL and have to do it. Now I just did it myself in Higgsfield in like 10 seconds. So... I'm looking at Higgsfield. This is insane. It's beyond cool. It's so good. So good. This is why AI is exciting because the really badass people can do crazy stuff now. It used to take a badass person like six months to do a prototype and then two years to get it good.

15:05Now someone epic like the ex-head of AI and Snap can like what you can do at Higgsfield will blow your mind. Dude, I can even tell just why the way you're talking. and I feel like if we did the same podcast, you know, five years ago, your rate of talking would have been like 10 beats per minute lower. Even 12 months ago. There's like a baseline level of excitement that has just risen. Like our new blood pressure is here. Well, as long as I've known Jason, you were borderline grumpy. Like you were pissed. You were pissed off all the time. Like, yeah, yeah, yeah, yeah. You were like, look, like I remember you, you weren't tired, but you had this energy of you where you were like talking to someone and you're like, you're making a mistake.

15:41stop this you're making a mistake you had like this like almost anger and you now it's the exact opposite now you're you're optimistic i am you're right i i'd like to think differently but you're probably right the way you perceive me is is important um it is i am very optimistic about it but the difference is i used to think all these products were durable that they were durable now i don't think any of them are durable so what's that mean when i first started doing this saster content i made up this expression and people have used it ever since zero to one million in revenue impossible. We don't need another product.

16:14Okay. One to 10 million in revenue. Unlikely. There's so much competition, 10 to a hundred million inevitable from impossible. Inevitable. We had a book that sold a couple hundred thousand copies. That was his theme. So you go this stage. You're saying getting from zero to a million is really, really hard. Getting from one to 10 feels impossible, but once you get to 10, it's inevitable to get to a hundred. If you had good founders, it was a punch card. Now it's disrupted. Now zero to one is very likely in AI. Like you build an incredible tool that no one else can do. You can do a million in a week or two, but like now everyone beyond a hundred million is getting disrupted.

16:51There's so many software companies at a hundred to 200 to 300 million in revenue that aren't growing anymore. It never used to happen four or five years ago. Like you hit your punch card, you had 120 % revenue retention and you had a brand. And all you need was a brand and revenue retention and products changing about every five years. Right. If the product changed every five years and you had a brand and tens of millions of revenue, that meant you had product market fit, right? High revenue, like high NRR meant it kept going as an engine. And this 120, 130 % revenue retention, it just kept going.

17:24It took you from 20 to 30 to 50 to 100. And it was like, and that's why, you know, in this crazy, in 2021, the average public SaaS company traded at 70X ARR. Public in 2021. It's almost unimaginable today when it's at five. But it's because it worked then. Like, everything just worked. And now, you know, Okta growing 10%, Salesforce growing 7%. Like, they're good companies, but it's not durable the way it once was. we've had a bunch of people on this podcast that have built apps that were really fast money grabs where they got really big really quickly with tiny teams and what i would tell them which what the hell do i know but i would tell them i'm like this doesn't seem durable but so keep your team small and ride the wave and take all the money and like do do something else eventually but it's a little bit different than it used to be because you don't need to build these huge infrastructures you can have one hit wonders that crush it you know what i'm saying uh yeah i think one hit wonders is the wrong phrasing but i know what you mean which is that you can yeah a base hit now can provide you enough cash flow to a change your life and b set you up with like five more doors whether it's investing or it's reinvesting into another company you start and you don't have to build one 20-year durable company in order to be a winner anymore so i think i think i understand what you're saying Like back when we were in San Francisco early on, like the small lifestyle business would get you the equivalent of a job.

18:50Now it gets you equivalent, you know, like you would make a couple hundred thousand dollars if you had a lifestyle business, you know, that was like, it was working, but it was small and it was solo and it was bootstrapped. Now those same solo bootstrappers have like 8 million ARR. So it's just a different scale. I remember being a - But you know what the difference is though? That is, I think that term is you have to be thoughtful about it. in the age of AI, when there's so much competition, you can build a two or three person company that's small, but the lifestyle businesses are being slaughtered.

19:20Because when these three kids come to SF working in the mission and they're working eight days a week and they've taken your little idea, but made it much better, your lifestyle is going to be unemployment. So this term I think needs to die. It made some sense, I think a few years back. It's okay. I just worry people are going to take the wrong lessons from it. You have to start in this conversation. You can do more with fewer people, but you better work harder if there's, or find a space with no competition, right? But the weird thing about AI is, is there's competition in spaces that two years ago had very little competition.

19:52Like what's an example that comes to mind? I'll give you an example. When I started investing, I did a couple investments in legal. I knew a little bit about legal, okay? And no one wanted to invest in legal. They're like, oh, it takes forever. Lawyers don't buy anything. It takes forever. It's boring. It's a slow market. Now there's a 500 AI legal startups. And there's reasons for that, but you could not be at that sleepy pace. Same thing, some of the best investment I've done has been in support in post-sales, okay? No one wanted to do this type of startup, boring, resolve tickets, pick up the phone, right?

20:23Now there's thousands of voice startups. And so if you think you can run a lifestyle customer support startup, good luck. Right. Good luck, because Delphi out of the box is probably better than you. You own a media company. You own basically a trade show that's incredibly successful. So let's just categorize that as a boring company that is not a technology company. For sure. Which is what I do as well. And Sean has done something like that in the past as well, I believe. For the people like that, how are you using AI in a not tech company? Are your employees now becoming significantly more efficient?

21:00We have five people and we do 5 million per person now. Did you have more people before that? We had much more people before. We had people in 2020 running. I didn't even, we have four designers. Now we have a little bit of a designer in AI tools. We used to have five people on this content team reviewing sessions. Now we have zero. Now we just have AI. So we have none of the designers, none of the content people. All the ghostwriters are gone. Well, I write my own content. Let me drop you off at the airport. No, but what would happen? Let me go in for sort of like, okay, nine months ago, Yamini would come to a Sastra event.

21:32She's done it three times, okay? And she would speak. and three months later, a ghostwriter would write up a summary of her thing, just terrible. And I would cry and we'd ask them to fix it because I can't do everything, right? And then about nine months ago, they got better. They actually, they got, they weren't great, but they got better and I hadn't actually used Claude. And then I went into Claude and I'm like, she just put it in Claude and they start charging us$5 ,000 a month for this. So like we can do this for 20 bucks in an hour instead of$5 ,000 and waiting two weeks with their clients, right?

22:00So we didn't need the ghostwriters we got rid of first. Then we had five people Then we had an agency we worked with for years. And for a while, it was great. And we just said, well, let's have our AI do it. And it reviewed 300 sessions, 300 slide decks, 300 presentations. Do you have to chase those 300 people down to give you the... Yeah, we still have to. It doesn't get rid of everything, but it does 90 % of the work. And it better. And it does 90 % of the work three times better. Was that you, the business owner, who had to architect and come up with all these solutions? Between Amelia, who runs Saster, this media business and events, and me, yeah, we came up.

22:32no one else was like motivated to do it. Of course. That makes sense. And then like we have a time, we have a little bit of a sales team, but then RAI just started to do all the screening and initial sales conversations for us. That helped a lot. Even for, this is a very niche business, a trade show business. Exactly. To say you do 25 million in revenue with five employees is pretty breathtaking because I would have thought that would be on the lower end. Your business would be on the lower end of like, well, I still need people, but you have just proven that not to be true. And so - It could do better with more people.

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23:08It could do better with more people. It's not optimal. Your life gets worse. No, the honest, I don't mean to get off target. The real problem is I just can't, I've just struggled to find enough A-tier talent that wants to do this non-sexy stuff, okay? I would love to have 20 people on the team tomorrow. I have budget for it, or at least 15, but I don't need someone that shows up to a meeting with the sponsor and doesn't know what we do. Okay? I don't need a designer that doesn't finish the design until after the event, which I had once in the past. Sent us a big bill but didn't finish the assets until after the event.

23:42I just don't need that, right? You know, I just don't, I don't need, I don't need someone managing 10 ,000 people at our Sastra annual that forgets to do catering. Could you talk about the start of Sastra real quick? So when you started this thing, you had sold your company. Yeah. Right? Was it after you sold to EchoSign or where did you start? A long time ago, 2012, but yes. So 2012, you sell your company. Great exit. As I understand it, you're like, I've retired twice. I got in shape. I picked up a hobby and realized, you know, like I still love building. So you sell your company. Do you retire right away?

24:14Basically, you take a break. There's probably a little bit of parallel to Sam here. Both times after I sold my startups, I sort of didn't work for the better part of a year and just got restless for different reasons. And I just got restless. And in fact, both times after about 100 days, 120 days, I got a little depressed. Maybe depressed is too strong a word. I lost, lost, right? Definitely lost. I remember, you know, my second startup, Emergence Capital, which is a very successful B2B venture firm, had a CEO. Every year I had a big CEO meetup, right, where they would come. And in my class, my group, I had David Sachs and Aaron Levy and Peter Gassner from Viva.

24:51And then after I got acquired, I got to go to one more and they said, you can't come back anymore. You're not part of the CEOs anymore. And Ben Chestnut did an interview just a couple weeks ago with Kleiner Perkins and said the biggest issue when he sold MailChimp for$12 billion or whatever it was, was he knew he would be instantly irrelevant. He said, I am now. I'm irrelevant now. MailChimp's of the past. He's like, you wouldn't even build a tool like MailChimp today in the age of AI. Right? Maybe that wasn't quite the point. So, yeah. So, that was it. But then what was fun for me, and this is a long time ago, but what was fun for me is because I was the first of those CEOs like the Aarons and the David Sachs that had an exit, I didn't have to pretend anymore.

25:33So I just shared every mistake I made, how I screwed up my first VP of sales, how I screwed up meeting customers in person, how I screwed up marketing. And there wasn't much content back. It's a little different than today. There wasn't much content. So everyone just started to read this. Were you being strategic? You're like, oh, I'm going to start doing content marketing and that's going to lead to this, to this. Or you're just like, I've got time on my hands. I've got stuff to say. I want to start blogging. I did what now people give advice to, but I didn't. There was no one to give the advice.

26:00I just wrote one blog post a day on a mistake I made. That was my paradigm, right? A mistake I made as a B2B founder that got to tens of millions. And back when Quora was a platform and people listening to this won't even know what it is, I answered one question. So this was a way for people to ask me questions. And those were great because they were very tactical, right? They were very specific. So I would do one a day, every day. And it does, it's a little different today in AI, but generally speaking, if you do that, it compounds, right? It doesn't compound the same way revenue does. But if you do my first million every week and you just keep working at it and it does seem to compound, doesn't it?

26:35Just not quite as linearly as we might hope, but it does compound. You were also one of the first people to do Twitter. You were doing it very early, you know, it was like you and Gary Vaynerchuk. Twitter started with tech people, what do you mean? I don't think it was taken seriously. I think that, I think Jason looked at it as a craft where he was like, I'm going to grow a huge audience here. I think, Sean, that for a long time, Twitter was an afterthought to a bunch of different social media platforms. Now I think it's bumping. I just think I approached it as a microblog, which is what Twitter in the old days called it.

27:04So I would put valuable content on Twitter instead of being grouchy or just. So I was early to putting valuable content, I think, on Twitter. I think if I benefited anything in content, I think it was just being early. You were early? you've been dude you are an output machine and the stuff that you write about is lyrical like you write about things sass is a stupid boring thing you write about stuff where i'm like i don't even own a software company but i want to i love reading what he's you know it's kind of like dye workwear with clothing it's like you don't have to know about clothing but when he talks about ties for some reason it's kind of exciting well that's a good insight my actual real goal of doing it was to make it more fun building boring business software make it more fun not in a jokey way, but to celebrate the fun part, the exciting parts of it, right?

27:50That was my version of what Sam said. Did you think, okay, then I'm going to be investing, this will help with deal flow? And like, where did the conference come in? Because that's a pretty gangbusters business. I can't imagine you thought at the beginning, we're going to be doing$5 million per employee. We're going to do$25 million a year in this business where we have kind of like a little, like our monopoly. We're the big fish in this small pond of basically like thought leadership for SaaS businesses? Well, the pond, there's more thought leaders today. But if you, I mean, it's a while ago, but if you are curious, I just wrote this just because I was a blue and it was something to do, something to share, something to add value to the world, right?

28:29No goals, no goals. I certainly wouldn't start off with a blog today if I started off today, right? As archaic it is, there still is SEO, but. What would you do? it's not me right but of course i would do video i do video but i'm not you got like it's not my natural i'm a good writer i'm not like a earnest hemingway but like sam said i have something special i'm able to convey ideas in a way that helps people in writing and i still think today that's a rare skill dude i hate video sean's pretty good at it sean can talk to a camera by himself and succeed i hate it i hate video i think that like i think there's a generational gap you We need to put a super cut of Sam's ad reads.

29:09Oh my God. They suck, dude. Sam's ad reads. It sucks, man. It's not, I'm incredibly uncomfortable doing it. I think, but I think that like the 25 year old today, just like the fact that FaceTime has existed, they're so much better at it. So there's like a huge, there's a generational gap that I'm like four years too old to have caught. So we just, at Hampton, we're hiring a bunch and I'm putting together like values to look for when hiring. and I only made it, I think I'm only going to keep it at like two or three values, but ability to write an email and communicate is one of the three. And I will tell you, one of the reasons we only have the five people is I have lowered the bar at Saster in a way I never would as a software founder.

29:54I've hired folks where the email wasn't that great. I've hired folks where they put an E in Saster. I've hired folks that didn't do the research before they started. 100 % failure rate. We already know this, right? But I've lowered the bar because I'd be like, well, this isn't as cool enough. I got to take who I can get. Always worth less than zero. Total, total zero. Yeah, you have this great tweet. You said, you think startups are about a great idea, but in the end, they're about great recruiting. That's what you're talking about. Yeah. And if you talk about owner, not to use one, but it's because it's a mutual issue.

30:28But I actually do not know a more relentless recruiter than Adam. I don't know a more relentless recruiter than Adam. And that is a rare skill. We all learn it as CEOs. We always get better at recruiting, right? What does relentless look like? Literally reach out to the 200 best people in the job. Talk to all of them. Set up meetings, cold, warm, lukewarm, direct, LinkedIn. Who are the 200? Talk to everyone in the world. Who are the 200 best CMOs that I could possibly hire? Don't pretend to talk to 200. Don't actually only do five interviews and pretend you're doing them. do 200. That's what the S-tier recruiters do.

31:05The S-tier. I had an old co-founder and I wish we'd gotten along better, but he was one of the best I ever knew. And I'd roll into work every day at eight o 'clock and he'd already handed me two candidates to talk to that were really good every day. Every day. I've never, Adam has that, but I'd never seen that magic. And I don't have that skill to every day. He'd found a way, hey, I've got this marketing, this sales guy I want you to meet. Can you talk to them today? Two more? but then they'd always be great. They're not, they won't always be a fit, right? And that's, that's how you, only way you can scale as an executive, unless you have a three person startup.

31:38You have a few more of these really great, like how to be a great CEO concepts. So one is to be a great, great CEO. You have to enjoy telling the same stories again and again, hundreds of times. Yeah. Yeah. Even Sam Altman does that, doesn't he? It's pretty much the same story, right? One, the, what I like that Sam does, I can comment. He tells you the future, like Elon Musk, if you're listening. What do you mean by that? He does this, you can make fun of this goofy video he did with Johnny Ive. I don't know if you saw it when they did it. Perfectly lit and having coffee in North Beach. My favorite rom-com of the year.

32:12Yeah, you think, oh, this is silly, right? But listen to what he's saying. He's telling you that in the not too distant future, you will be on chat CPT 24 hours a day. And I'm making the bet that Johnny Ive is the guy to do it. I'm not betting that he's going to build a rabbit pendant. It's not that. I'm making a big bet that he knows UI and UX so well for the next generation that he will solve this problem where we are on. And Sam's already on ChatGPT more than the average today, right? The average person's on like 22 minutes. You said you're on it more, aren't you? I'm on it all day. Yeah. So Johnny Ive is going to figure out a way that it's in your ring and it's in your phone and it's in your glasses like Ray-Ban.

32:49And he's going to figure out stuff we haven't figured out. And it's in Sean and I's headset. And we are just like, what if it was in this headset? Like this is totally passive, right? I mean, I don't know if you guys have used Granola or the newest notion. It records everything you do all the time in the background without permissions or visibility. You know why Granola is so successful? For note-taking versus, I don't know if the one you said does this, Sean, but Granola just records everything at the hardware level. Like, I could be recording us through Granola right now. We had a chief customer officer summit, 200 of the best chief customer officers at Sastr this year.

33:23And the guy that put it on that day wrote up the whole summary of every single session. that day. Like very, very good. I, even I couldn't do it. It's like, Oh yeah, I just, granola just listened to everything and it wrote it for me. And it was done that day. Do you feel this way, Sean, where I hear this and I'm like, this is so exciting. And then, but the other side of me is says, um, this is so intense. I have to, I, hopefully I can invest in something and make a profit. Otherwise I need to take my winnings and go home. And hopefully they compound, compound by themselves because there's an intense future that you're painting here.

33:53Like, I don't know how I feel. I sometimes I'm like, this is so exciting. I want to get this is amazing. But then other times I'm like, but if my life depends on this, I don't want to play this game. This seems so intense. I know exactly what you mean. I've now experienced basically like I graduated 2010, right? So when I graduated, I basically like that's when the light bulb turned on. I don't even remember life really before that. You know, I didn't even know the great financial crisis was happening. I was sitting at a Chick-fil-A somewhere in 08. You know, I just was... You're lucky. To the whole world, right?

34:21Same. When I came out 2010, three things have happened since then that were of note. there was mobile. So right when I moved to San Francisco, I remember I joined Birch's startup studio and there was a single mobile developer and my very first day, he was giving a tutorial to the other 12 engineers who were like, you know, super seasoned Silicon Valley engineers, but they just never built an iOS app before. Yeah. And like that ratio of like one mobile developer to, you know, 12, 15 non-mobile developers, within 12 months, it flipped. It was like, if you're not doing mobile, what are you even doing?

34:53Why would you do a startup if it's not a mobile startup. It was like a dumb idea by the time you're, you know, a year later into the job. And so I saw mobile come and mobile was one of those where I would say it was obviously going to happen, but it was a fog of war. You didn't know where the opportunities were. And actually the opportunities were very different than the previous wave. So like Michael, who had made a billion dollars in Web 1.0 or 2.0 or whatever, like, you know, the Facebook era, he didn't realize, even Facebook didn't realize Zuck didn't build mobile apps, right? And he was like, no, no, no, it'll be mobile web responsive.

35:25That'll work. And, you know, the fact that basically Uber was like the big, Uber was like the biggest winner, basically, during that era when we launched. And Uber was like physical world interaction. Like you push a button, but a car has to show up and you have to manage these drivers. And that looked nothing like the winners before. So there was like, we all knew mobile was big, but we didn't understand. The fog of war prevented us from seeing the path to victory. Then the next one was crypto. Crypto had a different flavor, which was, it was not consensus that this was going to be big. In fact, it was very fringe, and you looked a little crazy for saying this was going to be big.

36:01And so most of us missed it for that reason. And now this is really the third one, where again, everybody agrees this is going to be huge. This is going to be the biggest of all of them. This is the biggest opportunity ever. So everybody agrees on that, but there's complete fog of war, because like you're saying, even the apps that are working get disrupted. There's like so much creative destruction there. So much disruption. One moment you think it's the models that are going to get all the money. Then you think it's NVIDIA that's going to get all the money. Then you think it's the applications that are going to get all the money.

36:29Nobody knows how to win, even on the investment side. The VCs also, you're sitting there and you have this really weird feeling because you know this is the time when all the money is going to get made. The generational money is going to get made now. You still have no idea where to put it, and people are trying to figure that out in the fog of war. It's like that Warren Buffett phrase where he says, you see swimming naked when the tide comes in or goes out you know i'm saying where the idea being like uh you know when there's turmoil that's when you get greedy but the hard part is a the courage and b to know when the turmoil is actually happening you are you in that period now we all know it's happening uh this is the time but do you or i have the want desire courage to actually get after it and half the time i think hell yeah this is amazing the other half the time i think this is scary.

37:18I don't want to read a book. Yeah, I want nothing to do with this. Do you guys agree? I knew it was. Someone on Twitter had a good tweet that resonated with me on this point. He's like, wait, the smartest play if you can possibly pull it off today is to go make five or 10 million, cash out and just chill because you can't predict where it's going to go. Like this is, the world's going to, like whatever you could do to liquidate your assets now, they may be worthless down the road. So liquidate them right now and chill if you don't, if you don't see the future because this is the time, right? I do think, Like, and I also think, you know, I used to, it wasn't until we ran our own AI again, I used to think the Node Coast, I mean, obviously off the charts smart, right?

37:52But when he used to talk about how AI was going to bring mass unemployment in tech, I used to think he was just being crazy, right? But now I can see it. It's also coming. I can see all the, I mean, McKinsey just laid 10 % of their team off, but it's just a start because they put in all of their learnings, all of their data into their own AI like Saster. And now they just ask, they don't need the kid anymore, right? Half of our sales and marketing teams are going to be gone in two years. There will be no BDRs in a year. And so this mass change, and it is hard to make bets. So what's happening in venture for what it's worth, there's really two things happening right now in venture.

38:2370 % of the money is going into growth. And right now it's a great play. You do Claude at a billion, and then it goes to 3 billion, and the valuation goes 5X. You put in 200 million, that 200 million goes to 600 million, right? You take home 20 % of the profits. You make$80 million in a year, right? That's where venture is going. It's all growth. And then it's doing seed early stuff, but implicitly people are assuming a very high loss rate and they're paying very high prices. 60 million,$100 million valuations at seed. And they're hoping it's worth billions, but they understand there will be uniquely high loss rates too.

38:59They're not saying it, but they know it. They know it. Yeah. And that seems hard to make money, right? That combination of high valuations and high loss rate. Doesn't that - Well, if you have$100 billion outcomes, if you get one per fund at all, that's the bet they're making, that there'll be$100 billion outcome for each venture fund. But back when HubSpot, again, when HubSpot IPO, the bet was you'd have a billion-dollar outcome per fund, one. Now it's$100 billion per fund. So if you believe you'll do that, you can do a little analysis or waterfall, and you can just have Claude do it for you. You don't even have to do the analysis yourself anymore.

39:33I did this over the weekend. You just got to find one of them, and the rest can crash and burn, right? So what is your game plan? I have decided that whatever brand I still have and my excitement and my ability actually to know more than, because I've done my AI, actually know more than most people that aren't on the programming tool side. I've decided that I'll get one, at least one$10 billion deal done in the next three years, two years, one. No matter, I'm only in it for one. Whether that means I have to do 20 investments or one more, it doesn't matter. Yeah. I'm in it for one, right? At the seeds, at the early stage.

40:11Yeah, I want to own, I want to try to get one deal where I own 10 % or close that's worth 10 billion. I've sort of done it once on paper. I've done a couple billion dollar ones and I've missed a lot. What would that be worth to you if you own 10 % at seed of a company that outcomes at 10 billion? Well, multiply, if it's just 10, if it's just only 10 billion, that's it. But multiply it by 10%. So that's a billion, right? and then you keep 20 or 25 % of that. But there's going to be so much dilution along the way. That's what I'm asking. You don't account for dilution? No, I'm simplifying my goal.

40:44You could own more, like you'll own more and then there'll be investments that are highly diluted. So at a$10 billion outcome at a seed stage, you are looking to make$200 billion. Yeah, that would help. Okay, that'd be cool. I think, listen, if you really want to, I know we're going off topic, there's two ways that I think venture works if you want to simplify a lot of it. One, it's a great job. It could be a mediocre job. It could be a great job. Or you could try to make at least$100 million. I think anything else doesn't exist. There's a gap that doesn't exist. Because you're either in it for the fees and the job.

41:15Like initially, like, wow, I'm a kid. I'm getting paid$250 ,000 and I just get to take meetings. It seems great. Then you're finally a partner and you make a couple million bucks a year. And that's like much better than like some other job. But there's a pretty big gap between that. Like you don't, it's really actually, unless you're great, it's really hard to make profits in venture or carry. so the game is to make a lot of it okay and listen and the thing is if you're in a big winner if you're in multiple big winners just do the math sam that's why most vcs make nothing except a good salary but there are a bunch that have made billions because if you're in like three or four or five of those 10 billion dollar outcomes which is very hard then you make a billion bucks now the founders hopefully make much more it is fair right but you're either playing that game or it's a performative game or it's really just for fees and salary there really is a there's nothing in Jason, is this a stupid mental model?

42:04I do this sometimes. If I want to hire somebody and I'm interested, they're$200 ,000 a year, let's say. And let's say my business is 20 % net profit margins. I think to myself, this person has to basically generate a million dollars of extra revenue just for me to break even on their salary. Now, maybe they're doing it in coordination with a team, but the addition of this person, in order for it to be a positive ROI, I have to believe that adding this person yields me a million dollars of extra revenue. And when I do that, I mean, 90 % of the time, I'm like, there's no chance. No, that wouldn't even make sense here.

42:39So I don't know if my mental model is broken or if I'm actually on to something with that. Is that a really dumb way of thinking about that? That is the model for sales reps. Like traditionally, a sales executive, whether they sold software or an automobile, a sales executive in base and bonus would take them 20 % of the profits. If you look at how car dealers have low margins, right? But if you look at the margin to a car dealer, guys selling you the new Lexus net would take them 20 % of the profit to the dealer, right? If the dealer made no profit, they'd make nothing. If they ripped you off and got you to pay LISP plus the CD player for$1 ,000, they'd make a lot, right?

43:16Sales is the same way. Because in software, the margins are almost 100%. Reps would traditionally take home 20 % to 25 % of what they closed, right? Sales. For other roles, it's really just about leverage, and you're often just hoping to break even. But even to break even, let's say it's a$200 ,000 employee, to break even, you need a million dollars of incremental revenue to break even on that. Yes, but this is what I learned. For example, one way that law firms traditionally were structured, this is slightly interesting, and it may be different today. But traditionally, law firms actually, most law firms, they never made money on the associates.

43:49Okay. So why would you have associates? I didn't know this until I asked a partner that I worked with. Because I just don't want to do that work anymore. I don't want to write the Certificate of Incorporation for Sam. I don't want to do the NDA. We don't make any money net of training and offboarding and churn and the desk and the computer. We don't make any, but I just don't want to do the work. So for your organization, just to not have to do the work, right? But the problem with AI is it lets us do more of the work. that's the weird dislocation. So instead of paying that person, you can't even find the$200 ,000 person.

44:20At some point, you'll just do the work yourself with AI, right? That's the cognitive load. But that's why it's the mix. I don't think everyone can be profitable. Some folks just have to reduce the load on everybody else. But AI is going to do more of it. Yeah. You're full of information. Where it's like, we just hit record, and you just roll, and we just are on board and listen to you. And you're the man. you're just full of, I think, really good comments that are done in like strong taste and tend to be right. Thanks, man. You're the best. That's it. That's the pod.

44:57Adio is the AI native CRM built for the next era of companies. In seconds of syncing email and calendar, you'll get a powerful CRM adapted to your unique business structure, scaling your company from seed stage to industry leader. Get 15 % off your first year at attio.com slash saster. That's attio.com slash saster.

45:21Hey, are you tired of listening to hours and hours of sales calls? Recording is yesterday's game, folks. Yesterday's game. Attention.com unleashes an army of AI sales agents that auto update your CRM, build custom sales decks, spot cross-sale signals, and score calls even before the coffee's cold, even before the coffee's cold. Teams like Bamboo HR and Scale AI already automate their sales and rev ops using customer conversations. Step into the future at attention.com slash saster.

From the publisher

SaaStr 806: How The Smartest Founders Are Already Winning with AI: SaaStr CEO Jason Lemkin on My First Million 

SaaStr CEO and Founder Jason Lemkin recently returned to HubSpot's My First Million Podcast with Sam Parr and Shaan Puri to do a deep dive on AI and SaaS. It was a fun one because we approached it more from a content creator and end-user perspective than from a software builder perspective.

Together they discuss various applications of AI in content creation, customer support, and business advice, highlighting unexpected use cases and the potential for AI to surpass human capabilities. Jason also provides a candid look at the future of startups, the challenges of VC investment, and the evolving landscape of tech-driven by AI. Whether you're a startup founder, investor, or tech enthusiast, this episode is packed with valuable lessons and forward-thinking perspectives.

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This episode of the SaaStr podcast is sponsored by: Attio

This episode is brought to you by Attio — the AI-native CRM. Connect your email, and Attio instantly builds a powerful CRM - with every company, contact and interaction you've ever had. Get 15% off your first year at https://attio.com/saastr

 

--------------------

 

This episode of the SaaStr podcast is sponsored by: Attention.com

Tired of listening to hours of sales calls? Recording is yesterday's game. Attention.com unleashes an army of AI sales agents that auto-update your CRM, build custom sales decks, spot cross-sell signals, and score calls before your coffee's cold. Teams like BambooHR and Scale AI already automate their Sales and RevOps using customer conversations. Step into the future at attention.com/saastr

 

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