I'm in I'm in about seven million ARR >> roughly like where's profit right now? >> I keep three or something like that. >> How many people on the team? >> You're talking to the whole team. >> What's your process and how are you using Claude code now? >> Hey Claude Code, you see that feature in the code over there? Write the document about it and put it on intercom. I love Cloud Code. I love it. >> Hey everyone. Um I've got a problem here. I'm doing a set of interviews with entrepreneurs about how to build AI companies and truthfully I don't see that there are a lot of role models. Most people are just in the look at what I can build mode. Very few are in look at what I can build and a lot of people are buying it. Now, let's sit in for an hour and talk about how we got here so that the rest of the people who are listening can get there. Well, today I've got one of the few examples of what's possible and I want to learn from him. Josh Moore created Wave AI. It's an audio notetaking app. It basically records what you say in meetings or just directly on your phone to yourself. Um, and when I say meetings, I mean in person or off or offline and and even on phone calls. And I want to understand how he built it to where it is. >> Presented by Zapier, the AI automation company. >> Josh, where is it now? What's the revenue today? >> That's what you're opening with. How about you got to butter me up a little bit. >> I I complimented you on your shirt style before we got started. That's it. >> I know. I know. That's true. Well, so I'm in I'm at about 7 million ARR. Um I've been I've been flat there for a few months, but uh it has a very healthy user base. Um yeah, and I'd love to tell you more about it. >> You've always said or you've said for a long time that it's profitable. How profitable and how many people on the team and what goes into putting this together? >> You're talking to the whole team. Um, there have been some people that have come in and out over the course of the now three years to help with some higherend engineering work, some of the marketing stuff, but by and large I've done all the engineering. I do all the support. If you chat an app with support, it's me. Um, yeah, it's a bit of like what's the natural limit of what I can do alone? And that's in many ways always is sort of like how I am. That's always been the way I am. But AI has just kind of supercharged that. It's allowed me to lean into my worst instincts about just sort of doing it all myself. Um, which is kind of my natural way. >> I'm surprised because you you you had worked at Uber and you'd worked so well with so many other people. You don't seem like someone who works alone. I joined Uber at the end of 2011 as the New York general manager. You know, when the company is small, you can have an outsized impact. And I was always attracted to that sort of thing. Basically, I found myself at the end of 2022 without a job sort of in like mini retirement. Um, and Chachi PT rolled out and obviously everyone was there and tried it out and like had their mind blown. But for me the my first instinct was like this can help me sort of achieve a goal of mine which was to become an engineer. I really felt like even in those days before it, like at Uber and more so in the startups before that, I feel like the engineers kind of had all the power. And that'll sound funny because they typically don't within an organization, but if you're selling something that is, you know, that's on the internet, the people that do the engineering work are building the thing that the users use that people see. So I can just, you know, remember like having ideas but being limited in what I could do with them because I it would require engineers to kind of step in and do it at levels which was a health tech startup that I was part of for a couple years most like basically the thing I did right before this. um also you know like an early stage thing and to get things done I had to learn React Native and by learn React Native I mean like become basically be able to like change text in React Native like very minor things but that was how I dipped my foot in like oh this is this is kind of fun you know like I mentioned I studied math I'm an I'm an I'm like an analytical guy so none of this stuff is super foreign, but I never made software that other people used. And so, Chachi BT kind of opened the door of like, oh, you know, I'm 70% of the way there. I have the structure in my head. I kind of understand how computers work. So, chatbt kind of let me do that and not, you know, like integrated into any system just like the chat window like, "Hey, I'm making this software. Can you like help me?" And so it started helping me and you know so that was September. That was November of 22. I had a few ideas. I kind of ripped on them over that over those few months. >> Let me pause for a moment on there because I don't think I've seen the ideas or understood the framework that you use to pick the ideas that you would pursue. I just heard that you had a bunch of little ideas and Wave AI was one of them. What are they and how did you figure out what to what the ideas would be? Sure. So, I mean, none of it was sort of like I'm going to start a business. It was all just kind of like I'm unemployed and have free time and like this this is really fun. Um, but kind of right away, Cho GPT's, you know, the sort of like most amazing thing that it could do in my view was summarize things. So, if you think about it, up until then, computers, and I've always loved them, the one thing they couldn't really do is summarize text. Take a bunch of text and make it a small amount of text. Like, that struck me as the killer app. And in a lot of ways, it still kind of is. Like, it really is amazing. We're totally used to it now. It's been three and a half years. It's part of our like day-to-day, but that is still pretty amazing that an LLM can read a bunch of text and make it a small mouth. So, one of the ideas was sort of like a two hop, like record audio, transcribe that into text, which computers were already able to do at that point, then take that text and summarize it. And the idea was sort of like you're at lunch with a friend and you talk about all these great things and like but then you forget. >> That's that's the idea you ended up pursuing. What are some of the other ones that you didn't? I'm trying to understand how you figured out what to do or what to play with. Yeah, I mean that was the one that ended up being the thing. I had another demo that I built that I'm actually have like revisited and I could tell you about why, but that would basically take New York state legislation um from their API and you know the sort of idea like no one reads the bill like the bill comes out and it's too many pages and it's too confusing and there's too many bills so nobody reads the bill. you know, I got I got involved in government at Uber. Um, you know, I don't I wouldn't say that I was interested in it, but it it was interested in me. And so I had to get sort of into the weeds on that stuff. And AI feels like a good way to make sure that everybody reads the bill um and that things can't be, you know, released in the middle of the night and then voted on the next day. Like, so I made this thing that would take every bill coming off the New York State Senate uh feed and summarize it and do some other things like like ask it who's going to care about this, who is likely to support it, who's likely to oppose it, things like this. And so there's an idea there that I worked on with a buddy from Uber that we actually have revisited. And like I just said, I'll circle back on that and and kind of explain why, but um we're going to be releasing that as like a side quest in the next few weeks. Okay. >> Um so that was one idea. I I feel like customer service is sort of an obvious place for this technology to to work. And I have a de I had a demo back then for like Shopify sellers to sort of because that's like a standardized system. It was way too early and frankly I I still don't think it's a solved I still don't think that AI has kind of solved that and I still do all my support by hand although I am building out something to kind of help with that automatically. Um but those are kind of the the the the three things. Um, you know, I had an idea. I have a bunch of friends that were on like a chat thread that goes back years, and I thought it would be cool to have an AI kind of sit on top of that. And uh, you know, what did what did Dave say about that thing some point in the last five years? Like AI would be good at that. So, I played with that a little bit, but they were all just like demos for fun to kind of show off what I could do. Like I didn't really think what became wave would be a standalone business. In fact, I got a lot of advice of like well, you know, you should focus on a certain vertical like wave for doctors or wave for construction or whatever. >> I think that would make sense too, Josh, because look, when you had launched it, Otter had already been out. Fireflies was out. In fact, Otter, I remember using it as an in-person meeting recorder, and it worked really well. And I would imagine that with all these different tools that were out, Grain, I think Fathom was out, Reed, whose founder I interviewed recently. Anyway, they they were out. And I keep thinking, why doesn't one of them focus on a specific industry? Why didn't you? And why did you decide to continue when there were so many already out there? >> Yeah. I mean, Otter does well, they all sort of started as meeting bots. I'm not sure which of the ones you just mentioned do the generic recording. That's like 90% of my volume. >> Oh, really? >> Yeah. So, like I'll do like 9,000 hours a day of just generic audio. And then >> meaning of a person using the voice recorder and talking directly into it in a meeting. >> Well, they're using the voice recorder. They might just have it on their desk on a Zoom like they might be on a Zoom on their computer and then have the phone on their desk like stealthy recording the Zoom or it might be in a room a live meeting. It could be at church. It could be at the doctor's office. There have been I've seen a bunch of crazy things. But that's but like most of it is the generic recording audio in physical space. I like to call it. Whether that audio is generated from a computer or not, I I don't know. But then I also have like meeting bots and phone call recording over VoIP and things like and like file imports and things like that. So, I'm trying to capture all the different modes, but it is it is mostly just that that that first thing. >> I see. I see. >> And there are me there are many now, but actually there weren't that many when I started it. There were not that many like AI note-taking apps in the app store when I launched. Like maybe Otter was there. Well, they were certainly there. I'm not sure if they were meeting bots or regular. You know, another issue is that I think I don't know if this is still the thing, but I heard a lot in the beginning that like Waves summaries are better. And I sort of intuited that Otter might have been not using the best models for their summaries. And for the transcription, one of the one of the things I've tried to focus on is just use the best version of the AI. So like Whisper 2, Whisper 3, you know, Assembly AI, Deepgram Graham, I've tried them all. Um, and I've just, you know, I'm not afraid to spend the I was not initially afraid to spend the money to make sure that the quality of the output was the best it could be >> because I sort of figured it's okay. I I would rather spend more on that. I'm not spending any money on people, so I'd rather really spend it on the AI, make it make the product as good as possible. And I think really what has made it successful, you know, a bunch of things have, but really the stubborn and relentless just polishing of the product, you know, getting feedback, incorporating it, pushing out a new version. Like I have been working on this full-time for years. And so I'm just like, I want it to be perfect. >> I do sense that. Like even the fact that you continue to get to do customer support on your own is amazing. Let me pause though for a second and I I want to shift in a moment into the development process. But if I'm understanding you right, you said look, there's a use case that no one else is doing. Um or if they are, they're not doing it to the level that I think they should and that is recording inerson conversations. I want to be there and I want to summarize it. You got into that. How did you know that you were on the right track? Was it number of users? Was it I know you got traction early. What was it that told you this is worth spending the next few years of my life obsessing on? I don't remember the actual answer, but the answer I give when I ask that is a lesson I learned at Uber, which is if someone on the support line is like exhibiting extreme emotion, whether it's positive emotion or negative emotion, >> that is actually a good indicator that you're on to something. Like if you can make a customer so mad that you think they want to murder you, >> you might be on to something there. I remember at Uber, we got a lot of that in the early days, both ecstatic happiness and and and you know, serious rage. You know, the driver took a left >> on Fifth Avenue and it it wasted 20 minutes and I'm going to kill you. It's like, all right, we are if you're that passionate, positive or negative, about something, then that product has really hit that's really there there's value there. And so I think part of it was talking to users. You know, I still get a like this is amazing. You know, for many users, if you're out of the bubble, you're touching AI maybe not that often. ChachiBT once in a while, >> but you don't really know how to use it for your work. >> You're not in the bubble. And so this for many of my users, I think, is their AI. It's what they use AI for. Do you use AI in your life? Yes, I use Wave. >> I see. Like I like to ask folks in my secular life, in my like not heck life, if they use AI yet. And you'd be surprised how many people say no. You know, yeah, for fun on the side, but never for my work. My office doesn't like it. We're not allowed to use it yet, etc. >> Okay, >> like that's most people. So, I think going vertical specific is like is is totally crazy. I mean, all my competitors should go ahead and do that, but I think that it makes more sense to be kind of general for this. Like Uber isn't rides for a specific use case. It's just rides. >> But they're not 50 different car sharing companies on the road and so they don't need to. If there were >> there were though. Yeah, there were though. >> I see. >> There were there were a lot of rid share apps. I mean, we've had, you know, I can name five that you never heard of that felt like existential threats to us in the beginning. So, it does start out that way. And look, it's not exactly apples to oranges because it is just an app and there's a lot of clones. I mean, there's probably like 50 of them now. So, it's not quite the same, but okay, >> if it works, it works. >> All right. So, let's get into I want to cover a couple of things here. One is how you build and especially how it evolved over time and then also how you market because I think your promotion is really interesting. You've talked a little bit about meta and obviously I've seen you talk publicly and that's gotten people used but let's go into building. In the beginning it was you coding like an amateur developer but where you where where some people might Google things or go to Stack Overflow you would go to chat GPT. It was like your your mentor. How did Tell me Stack Overflow too. >> In Stack Overflow >> for sure doing it more the oldfashioned way like I coded the first version. I did I wrote all the code you know because I was I was able you know and I I used the AI to like what would be like a good example like background audio recording so like someone's recording and then they clo then they like minimize the app of course it should still work why isn't it working it's like oh you need to do XYZ and so there were things like that where it wouldn't necessarily be like here's the code what's the problem with it might just be like a conceptual question >> you know a lot of the early days was me making a version, trying it out, finding a problem with it, and then working to fix the problem and then that times a thousand. You know, the whole idea of of a of a server, I sort of was able to sort of intuit it like, huh, I do the recording and then it sends out the file and it waits for the response, but if I close the app in the interim, it's all lost. Like, oh, that's what a server is for. That's what a server client you know that I should move all this to the server like the the mobile app should be essentially a recorder and as soon as the audio is done it should be uploaded immediately to my server from which all the AI stuff will happen and then return the data back to the phone so that if they go and do something else it does take a couple minutes to you know to process like a one hour thing it'll be there when they come back send them a hush notification send them an email like all the So, I sort of was able to intuitit a lot of things that maybe in a more formal situation someone would learn on the job and learn how like the company does it. I sort of intuited and like got to these things sort of on my own through the experience, but it was very much like have the IDE on one side of my screen, have an LLM on the other, bring it over. Hey, what's this? Okay, bring it back over. like a lot of a lot of that kind of thing. >> Um battling with the context windows which were extremely small at that time. So like I really started doing this at V1 of you know of like LLMs and all this and I've been able to ride those improvements for three years. You know, every month my mind is blown by the newest thing like Opus 4.5. And everyone everyone of my friends who I tell this about who is not directly involved is just like you sound like a broken record. You always say that, but I always mean it. Like Opus 4.5 is a departure from the past. Like it is meaningfully better. It is it is blowing my mind. Like it's doing things I can't believe how much it can do on its own now. And so >> how are how are you using Josh it blows my mind too. I've never been a developer. I always in the back of my mind like you thought it'd be fun to be able to or at least to understand what other people are doing. I started playing with claude code and I go >> can you make this and it's building it for me and it's asking me questions that help me guide it in the right direction. And by the end of >> I love cloud code. I love it. And what's so crazy is I only started using it two weeks ago. I was sort of like cloud code is like it's a little too handsoff. I don't totally get it. I was aware of it, but I was like, I don't really get it. >> It's writing and you want to write yourself is what I'm understanding about you. >> No, I I don't write when I right before that I was coming from an IDE like Windsor or whatever >> and it was still writing for me, but I was a little more hands. I was watching it. I was seeing the diffs, which you can actually still do, but I just didn't get there. Like I >> I'm old like things take a minute for me to want to do. >> I'm not always about the latest and greatest. I like my way. But I got to it and now it's like all I do in cloud code. I bought a Mac Mini over the weekend for my for my bot, you know, and just all that stuff like I am deep in it. But I love, you know, the latest and greatest changes so fast that who knows what it'll be by the time someone listens. But yeah, I that is what I use now almost exclusively. >> How like how do you shift from one to the other? What's your process and how are you using cloud code now? What's your setup in it? Well, the same underlying model. I'm still using Opus, but I think >> mod, you know, one of the things is you can buy the API by the month with that. So, I spend 200 bucks and I think I get something like $3,000 worth of API usage from it versus going direct and using the API, I was spending $50 to $100 a day, which I'm happy to do >> because I'm getting serious value out of it, but I'd rather spend less money when I can. But also the agentic loops that it's put in the like the way it does the model, you know, the model is the same, but the way it interprets and asks questions and does follow up and touches your files and your file system and bash and all this stuff is like really crazy. >> Uh, you know, just every day I'm having these experiences that blow my mind and I'm running out of folks to tell about it. But it's like I was talking about I I like initiated a discussion about my rates. Like how much do I charge? Should I charge less? Like Uber was very big about like time to cut prices. Like we were every six months we were lowering the price because that's a moat, you know, it makes people you don't want to get undercut and I have no costs and my the margins are really good and so I'd rather give some of that back. So I started a like a discussion like let's talk about this. Maybe I divide the features up and put one of them under a lower tier and a high and all it's like let me just go look at your analytics for a bit. I need the API key. I'm like here's my here's the API key. And it just like okay cool. And it went away for a few minutes and came back with just like a report that an analyst would spend a week on. And I've like heard people talk about this but until you experience it it's crazy. So like it's nuts. It's nuts. I I talked with Ryan Carson. He's got a cron job that just tells it that goes out every day, does the research on his different analytics and makes recommendations based on what he's done and what's going on in the site. Do you have anything like that that you're doing now or is it too early for you? >> Ryan Carson, his Twitter, >> his Twitter is Ryan Carson. It was hacked recently, but >> it was hacked. That's what I was about to say. >> It was hacked. I got like a DM from him that made no sense. I'm like, oh, >> okay. I knew that name. Um, yeah. I mean, sorry, what was the question? >> I just liked how he had a report every day with uh recommendations based on his analytics of what he should be doing to change marketing. And >> I'm not as tapped. I have not built my world around that yet. I'm a messy guy in real life and I'm a messy guy on the computer, you know, and digitally. And I think having a sort of base level of organization is important. So my like I have like 50 windows open with different things going on. But yes, with some organization, you know, a buddy like an AI skeptic buddy was like, you bought a Mac Mini for all this stuff. Like this is so stupid. Like I'm trying to go see this show. have it monitor the price on StubHub and SeatGeek and all the different places and then send me an email every hour with like with like all the pricing updates. I'm like perfect, I can do that. Took me five minutes. I set it up and sent him an email every hour. like you need to have good ideas like that to sort of do and I'm just not organiz I keep it all up here >> but I'm but I hope to do more things like that like really use them like employees you know something you know like reading server logs like searching and reading server logs is like such a great thing like hey I have this firebased function called whatever and it spits out thousands of lines a day but you know lately I've been having these failures will you please go and inspect the logs on the terminal, search the log, search for the word fatal, and write a report and bring it back. And like it gave me something in five minutes that was like extraordinarily useful that I could not have done on my own. It just I would have to like dump a million rows and with, you know, it just would have been a a huge pain. So I I hope to do more things like that. I keep my new feature schedule pretty aggressive. So, I like tend to just be looking forward and not spending much time on that stuff, but I but I should. Things get missed when you're single when you're like solo founder. Things get missed for sure. >> Would you tell me some of the tools that you're using to put it together? Like what are some of the what are some of the software that you rely on to build Wave? cursor is sort of home base for for like all the code. I have the app repo but also the web app repo and then I have sort of uh like a bunch of other repos that each are sort of web apps themselves that do specific things. >> So like I have a couple of side things like wave pod I'm putting the URLs in the chat. Wave Tube. These are sort of like SEO ideas. >> Those I'll those I'll get to actually around marketing because I was wondering how much how how many new users were coming in? But I saw a really good case study about you on Adapti and so I I recognize that you're using that for example. How are you using Adapy? How are you using Twilio? What are some of the other tools that you're using? >> Sure. Um Adapty is like my source is my sort of central system for all things subscription. So when you buy in the app or on Stripe, it's it kind of runs through them. >> Okay. >> Pay walls. If I want to run like a test on, you know, like an AB and all this, that all runs through Adapy. Yeah, I'm a favorite of like, let me write about you as an advertisement. >> You're so good at that. >> I get I get zero new users from that stuff. But anyway, but it's all good. Olio is um is for like phone. So that's what uh the voiceover IP. So you can actually like make a phone call in the app that runs through. >> I know. If you've got your own dialer, you check to make sure my phone number is the right one and by validating it. And once you know it is, I can dial using your dialer. >> Yeah. >> And you call out, they see my number on caller ID and then we've got a recording of the whole thing. That's Twilio that's doing it. What else do you have that's working? Do you use anything for landing pages, for forms? Are you building it all yourself? >> Nex.js like web framework just for everything. Mhm. >> Um, my like macro thesis >> Mhm. >> for this stuff, this is a little out there and probably I'm probably going to say it badly, but like the notion of abstraction layers, I think, are at risk from AI. So, what do I mean by that? Whereas I would previously like use a SAS tool that does a certain thing to achieve a goal, now I just ask the AI to build it from scratch. >> Mhm. >> And it's like I'm not going to replace Slack with it or like Riverside, how we're setting this up right now, how we're like recording it. Certain things like that I would always use, but there's sort of a a category of things that no longer make sense. Um, >> what about intercom? You're not using that for customer support. >> I do use intercom because their library for the chat bit in the app works really well. That's non-trivial to make that work. >> But I don't use their AI thing and I answer many of the things that come in. I answer on a website that I built for myself that hits their API and just gets all the tickets and I just answer it there because then I can kind of like layer on all my own stuff. >> I see. >> I didn't give any good examples for my thesis, but I'll think of them while we talk and I'll jump in it appropriately and say, "Oh, I just thought of it." Essentially what you're saying is where possible I Josh like to build things myself instead of use these tools and if I have to I'm picking the tools that I need to but I'm not using them all the way. I'd rather make my own and it's not that hard to make my own. >> That's right. Not as like a fetish but as a like because it's actually better. >> What makes it better in your mind is like it seems like you have a customized way for example for chat. You don't want them to start to figure out how to answer in your place. you have an you have a thesis on how to answer properly. >> Yeah. I'm trying to think of what a good example of this would be like, >> you know, a very basic example is like if I'm going to send a a big email, >> I don't need a like wissywig editor to set up the email. >> Like the AI will just build out the code. like, "Hey, I want to do an email about wave assistant," which was an email that went out this morning about chat across all of your do, you know, uh across all of your sessions, smarter search in the app. That all just kind of rolled out and it ended up uh you know, that email was written by an AI. It's an HTML email, but I didn't use any like service for it um to actually actually make the email content because it's just easier to just do it in code. Anything that's sort of putting you that's sitting between you and the code is potentially going to just get in the way. >> You know, that's the thing that I'm noticing like really up and down the the size of companies that I've talked to, they're trying now to just create it themselves. And it's not about cutting out costs. It's not it's not that intercom costs too much. It's that they want more control over the experience. And that even goes down to a consulting company I talked with that's creating their own Calendarly because they need little bits of customization to them. All right. Then that brings me to my sponsor, Zapier. I mentioned that they're a sponsor. You said I'm I'm integrating them somehow into customer service. What are you doing with Zapier then? I'm integrating them into So I get that, you know, you record in Wave and then you either read it in the app or it'll send an email or you can share it to Google Docs or Notion. And I built out a bunch of the share features myself on the tools, you know, OneNote, DocX, like Acrobat, like all the formats that someone would want. But I get inbound all the time like, "Hey, I really would love for Wave Recordings to land in my company's like CRM. It's this like esoteric thing that I'd never heard of. Do you have Zapier?" And so I actually have a beta Zap or Zapier thing where once you set it up, every recording you do will trigger a a Zap and it'll land that wherever you want. and it's part of a bunch of things I'm releasing in the next few weeks that include API access MCP access. So if you want to ask one of the other AIs about your sessions, you can do that now. So it it'll be API MCP and Zapier are going to kind of roll on the same day as part of a like take your data wherever you want to go. >> I see. >> Um I think there is value in being the the app that facilitates making the data. Mhm. >> So you're doing the recording, it's creating data. Everyone seems to like it for that, but it's like then what happens? Like the next stage is what you know something has to be actioned. We're meeting there's going to be some sort of output from that either uh a to-do list or like action items or whatever or it needs to land somewhere. We need or I should say I need users to be able to get their data wherever they want as easily as possible. on. So, Zapier does a great job with that. They have the integrations with everything. So, if you want to take your wave sessions to some esoteric thing that I'd never heard of, you can use Zapier for that. You know, I think the API access might be more useful, but for the non-engineer, um, Zapier is really the best. >> Yeah, I'm I'm even finding that frankly, if I use cloud code, it doesn't have enough connections out. And so what it'll say is just use Zapier and then get the connection you want. >> Just use the direct API. Here's the key. I mean it's really like just one more story. I also use intercom for my do for my like knowledge base like the articles about all the features and my you know I used to write them and really slave over them and make them better and use AI to help make them better. And now it's like, "Hey Cloud code, you see that feature in the code over there? Write write the document about it and put it on intercom." >> And so now it's just like an AI is reading the code, understanding how the feature works because it's reading the code. >> Oh wow. >> And then write writing the writing the article >> in the style of the other articles that it can also read. And it just like I don't know, man. It's crazy. >> I know. It is. It is incredible. And then it makes me wonder if everyone is going to be able to create or more people are going to be able to create, what does it mean? Does it mean that people are going to start creating their own version of Wave? Does it mean that companies are going to start to do it? Or is is it just that we'll always have both? We'll have what we have now with SAS and in the same time people create their own software in addition. What do you think? >> I think there will be more software. So, I mean, Wave doesn't have to be a team of 50 people, venture capital in an office. It's me in the downstairs apartment in my building. I think there'll be more there'll be more software. I mean, I had this thought in the shower. I recently it I'm in New York where we recently had a a ton of snow and I have young kids who I knew were going to want a sled >> and I didn't currently have snow boots uh or pants for the snow. I left it upstate at my other house and uh I bought on Amazon like very cheap boots, you know, and they were great. They were like 40 bucks and they were great boots. Um, the pants were similarly great. So, I spent like a hundred bucks on very, very useful things. And I wonder if software, it's like making apparel is like a solved problem. Like, we know how to do that. We do it overseas. The supply chain is there. They make the boots really cheap in every size. They ship them. They go to Amazon. I picked the boots based on where I could get it the next day in my size. And I got them for really cheap. I sort of wonder if software might be similar and that it's cheap to make. There's a ton of it. None of it is is huge. The boot brand is unknown. My kids and wife made fun of the way the boots looked, but boy did they do the job. And so I wonder if software will have a similar kind of thing where there's just a lot of it. There's a lot of options. Which one you use doesn't really matter. Like the boots are the boots. the AI recorder is the AI recorder and you might have one that you like better, but at the end of the day, it's like they just do it. The like barriers are so low that there could be many options for everything you want to do. And so to me, what I'm doing looks more like running a corner store that I work in full-time and I sweep at the end of the day myself and I'm the shopkeep and I lower the gate at the end of the day. Like that's more the mode that I'm in than like a high-tech software company because I'm working alone. I do it to make money. This isn't an equity play. This is to make money now as a business. I'm the business owner. I'm the small business owner. So, I'm always on. I'm always thinking about it. That's okay. That's what I want to do. That's what I like. And it's sort of more like that. I just work on the I have a shop in cyerspace, if you will, and I sell things to a small number of people, relatively speaking, but it makes plenty for me and for my >> family. Like, it covers everything. And so that's that's more that's the mode. It's not a big company. So like what does AI, you know, allow? Anyone with agency can go and do something. That's still a very small percentage of the population. It's still not most people. It's not everyone. It's not even most people. It's like a subset similar to who could do it before. >> You know, you don't have to be an engineer anymore. I feel like it's going to be a little bit like YouTube where before really good videos would only come on television and movies and then eventually you end up with all these creators and some of them are Mr. Beast and some of them are doing it just for themselves because they like having family videos >> and they're more creators. Okay. Um do you think this could be a billion-dollar business? Do you think this is the Sam Alman one person billion dollar business direction? Well, I can also answer this the way that I always do, which is so I think that it's usually framed as one person unicorn. And unicorn refers to a company worth, you know, the billion dollar mark. Not not no one will ever value this because I'm not going to raise money. So, there's no way for this to be a unicorn in that sense. >> Um, which is a lot of vanity in kind of like what investors are willing to pay. It's a great signal for sure, but it's part of a scheme that I'm not part of right now. Um, you know, I think what you're asking is like what is the natural limit of something run by one person? And I think it's probably quite a bit more than what I'm doing. >> I guess what I No, I think the way I would put it like this before you're a runner. I love how on your website you show your latest run. So beautifully done. I'm a runner, too. >> Oh, thank you. >> Before I And I And you make me miss New York. I see that your last run was through Central Park. Man, that's so good. I remember before I ran my first marathon, I met a marathoner and I said, "How do you even do it?" And he said, "The way you do it is you have to imagine that you're going to go more than a marathon. Do an ultra so then the marathon doesn't seem so big." It turns out that's not the way that I think. >> No. >> But it gave me a sense of the headsp space. What I eventually had to think was, I'm going to run a marathon as a way of getting me to even run to 10K. I'm wondering, do you have any number in your head that says this is what I'm aiming for? Even if it means that I'm not going to run my version of a marathon and have a unicorn, I'm gonna figure out what the 10K is that comes from that. What do you have in mind? >> Yeah. I mean, I think running, particularly as someone who got into it late in life, I had no like high school running records. So, like I'm I I in the last five years have run as well as I've ever run, you know, a half marathon marathon as well as I've ever done. not good in the sense of all runners, but good for Josh Moore. So, I you know, it's related and then I sort of relish doing better than I've ever done in the past. And so, I would like >> the I would like the numbers for this year, both on my running and on the business to be best ever. Uh last year was best ever business, not best ever running. Those things are related, unfortunately. Um, and when it's 20 degrees outside, I can't do much running anyway. But I uh I would just like it to grow. I think I have Yeah, there's no grand vision. I mean, it's if it did seven last year, I'd love it to do 10 this year. That would be great. I don't think I'll be able to do that, but let's see what happens. I'm just kind of enjoying the process. I'm unlike venture-backed startups which have been exclusively where I've worked for the last couple decades >> and those situations to me feel very focused on an outcome like Uber especially and I didn't join Uber even knowing what employee equity was or like I knew what it was but it wasn't the focus. If it had been, I probably would have negotiated a better deal, but it was just sort of like cool and I get stopped. But like, this is cool because I get free Uber rides and I'm the boss of a small part of the store. Those are the two things that I liked a lot. When you're focused on the equity bit, it's sort of like someday we'll do X and you do your math of like, well, I own this much and we'll sell for this much and how much will I make and that's very nice, but that is a future focused situation that I'm really not in right now. Right now, it's just sort of like I'm running a business. I want to run it as well as possible. I'd like it to be bigger than it is now, but it's so that I can make more money now, not so that my stock or I I'll sell it someday. None of that is really in focus because I don't think it's a sellable business. Uh and I think, you know, if you'd asked me right after Uber what I want, a lot of us would say like we want to like own a small SAS business. It's like, well, great. >> I do that now. I looked at buying one. I almost bought one for like gym equipment. I was going to buy this e-commerce business that made gym equipment and sell it on on their own website and on Amazon and all this and it's like I'm really glad I didn't do that. This is way more my mode. >> It is so beautiful to watch it get built in public. Let's close it out with the last segment of this conversation which is how are you getting customers? And I wonder if you could take me through like the first customers, which sounds like it was your friends who are willing to give you feedback, but then the next and the next and then what works for you? >> So, right now it's it's Apple search ads and Google ads for for iOS and Android respectively. >> And I haven't been able to get meta ads to work in more than a year. Every few months I dip back in, I spend a bunch and it fails. And there's a bunch of reasons for that. competition, my ads are stale. And I think most of those those are both symptoms of a larger issue, which is that I'm just not that interested in doing it. Um, and every so often, a few times a year, I'll bring on a new agency. We'll get up and running. They're like, we'll for sure be able to make this work because my metrics are pretty good. Like if someone installs, >> there's like a one in 10 that they're going to give me money. And that's like I'm told is pretty high for this sort of thing. And so like so I need more installs, you know, and so I'll do between 800 and and and a thousand installs a day. And I think a lot of that is coming from from app store search. >> You know, on on the app store, I have a 4.9 star, like 11,000 reviews. >> So it just comes across as trustworthy. And on Android, it's getting up there, but not quite as good. So, I there's got to be a word of mouth element that I'm not really measuring. There's got to be some natural search. The ads in the in those two places are probably helping, but it's mostly uh yeah, and then really good retention. I mean, well, actually, not really good, but some kind of retention. So, that most of the money that comes in every day is renewal money. I was imagining that most people are I know you've changed your flow. I've done some research on how you change your pricing. You've said in the past that it was too complicated or maybe it was like Claude as I was analyzing it said that you shifted from complicated to simple. I imagine that most people are doing annual subscriptions with you, right? >> But that's where the the majority of the revenue is anyway. >> It's where most of the revenue is in terms of like I just looked at this. It's actually split a third and a third a third weekly, monthly, and annual in terms of people, but in terms of dollars, it's obviously way more unannual. >> Mh. >> Um, but like Yeah. And I mean, it what's so weird, there are some things about the app store that are just like the way things are and had and since I had never really done any work there before, I I had been working for for app companies but not app subscription companies. And the whole idea of an annual subscription still makes no sense to me. I would never buy an annual search or anything. Like I don't know what I'm gonna like in a year, right? >> I feel like monthly is the right thing. >> Uh but it turns out people love their annual so that I started focusing on that and their trials. I didn't like trials. Everyone loves their trials. All right, I'll do >> I'm surprised you don't because I think on annual is where you give right now a three-day trial. No trial on I don't know if you do weekly or monthly. Um you've been experimenting with it. I Yeah, I think that makes sense. People say, "I'm going to try it. Get the free days." >> Yeah. I mean, the three days was such a stupid decision. It should be seven days. Like the whole the whole app is very like all the business, all the activity is during the week, you know? We'll do big recording days every weekday. If it's a snow day, a little less, and it's like federal holiday, a little less. Weekends are dead. But then like, so seven days is a more natural like experience. And for a full lap around the week in your job, I'm going to make the change soon. I've just done very little optimization of that stuff because I find it so unpleasant to work on. Nothing wrong with it. It's my it's where I started. I did the marketing and ops. That was my job. Every job I've ever had has been in that sort of thing. But I just like there's so much more dopamine in making new things. So I just try to keep making that in you. And you know what? I don't think at levels you did that from what I'm seeing. Levels you were more of an operations person. When I see you, I' I've heard you. I've read you now so much. I've been intensely in your world. When I see you light up, you light up from customer service where most people want to throw up from it. You you get excited about the building of it. But yeah, now that I'm actually talking to you about marketing, I thought you'd be jazzed about it. You are not. No, >> I'm not jazzed about the support either, but the support is the the first line of defense. It's where I learn about bugs. It's where, you know, you're hearing what people want. if you're not talking with users. And look, I know I'm supposed to like invite a bunch of users onto a Zoom for a half hour and like watch them use the app. I'm not doing that. I just I can't I can't do that. But the customer service is like, you know, that's where gets real. That's everyone who's had a problem and that's a useful group to talk to. And on good days that channel is very quiet and on bad days it's not very quiet. Um, you know what I mean? What's that Microsoft tool that lets you see how people are using your app? You're not using something like that to watch. >> Yeah, I am. I have I have Century that like reports every problem that anyone has whether they know it or not. But like, you know, and then I have a sort of a circle of people that I know from the real world who I gave free access to for forever. And one of them sent me a text last night. I was in bed. She used to work for me at Uber and what time was this? I'm just looking at the text. >> It was 9:15 p.m. I guess I hadn't seen the text until I was in bed. I get a lot of sleep, by the way. >> I was in bed and I saw a text. She's like, "Did you change something on the like on the line spacing of the summary because it's making me go >> I was like, "Oh, You're right. I did. >> Sorry." And then I fixed it. Um, but there's just like little that would never come up in like a a bug report. I I changed how markdown is rendered in the app for a reason that's not that interesting. But yeah, the line spacing and I even noticed and it just like when you work alone, I like notice things and don't and but it doesn't always register because there's no other voice, you know. So it's very very useful to just have people in the orbit saying things and in in the absence of people I know I rely on support channels. >> So then all right I I just want to linger on this for just a little bit longer to understand how you're getting users. Is it then the the tools that you mentioned earlier where you've got pod.wave.co where I can have you give me summaries of my favorite podcast so I don't have to listen to them or you have one for YouTube. Do those work? What's working for you? Why? Basically, I'm trying to say, why are you getting so many users as a vibe coder when other people aren't? >> Dude, I wish I knew. So, WavePod gets a ton of traffic. This was a like I thought of this. I did. I was like, this will and then I'll like every time a summary is made, it'll store that forever >> and then it'll register for SEO. >> I was like, that's a really smart idea. And I do get a couple thousand visits a day from that now. And I have 550 folks who like who like signed up. It's all free, but they signed up and added series that they want. And anytime that series has a new podcast, it transcribes and summarizes it and then emails it to them. Um, but it gets a lot of visits to their website, but none of them are actually Wave user. Like, they don't convert. >> I see. >> So, I don't know. I don't know exactly what I I don't know the answer. >> What about verality? Other note-taking apps you do that. >> Well, I just so in the early days the only answer I could come up with and there was a time where we did it was a couple years ago where meta ads worked super well and I grew from like a millionaire R to like six in like four months. Like it was crazy because it was a first of its kind thing and it just crushed it on meta. Now there's 40 million of them, so the ads don't really work anymore. But what I used to think, and I think this is still somewhat true, is that if you're good, things might work out. >> And I know it's sort of trite and maybe even not true, but I do kind of think that the internet's the the internet is good at servicing quality. like it's good at service and quality, you know, the app works, you know, and people seem to like it. There are bad I get bad reviews. I get like this app is buggy as And like I might say like you're using an iPhone 13 or using like a Xiaomi Android phone or something and it's like, oh, sorry. But >> I do tend to agree with you and the the one piece of evidence I would put up is Cloey. Their videos are so good on Tik Tok. They're so good at getting attention and their stuff is so in the way and unc in my opinion uncaring about the user experience. >> I don't know if you brought them up on purpose, but they recently came into my into my hate bucket. Um >> why? >> Well, they have a mobile app that looks just like mine. It just does the thing that my app does and they priced it exactly the same. You know, $1 139.99 annually was very much a like that sounds right and that's that's how much they charge. And there's a lot about their their new I think they're they're a stunt looking for a product. Um I thought their original idea which was like screen recording with excess information. >> Yes. So, like you're interviewing me right now and it's transcribing and saying, "Hey, Andrew, you should ask him about this." That's cool. It doesn't seem like they actually ever did that. It seems like they're really good at stunts. Like, maybe I should maybe I should buy them or something, but like >> they're good at getting attention, which by the way >> is more important than making a good product. So, you know, good for them that they find out where where it ends up. But I think that this is the two polar opposites. On your app, everything is well cared for. You care about customer experience and so on. On theirs, >> they have a good concept and it's another good marketing and another good marketing technique. And I wish that they would just focus on the one thing like you said, just show me the transcript on my >> and then on the left do the other thing which is like recommending stuff. And I guess that's what you're saying. You want to be in the world of I want to understand what my customer needs are and c and just keep building to that and the way that you know what new features to add is you keep checking in with customer service seeing what people are asking for and that's how you go from in person to phone to meetings or whatever the trajectory is. >> I mean on a bad day I say to my wife like nothing I've built in the last year has mattered. Like I nailed it with the first thing and everything I've done since then has been a waste. And there's like we're taking a dark turn for the end of the interview. I think that there is some truth to that. They're like, "Oh, let's do phone and let's do meeting bots and let's do let's do widgets so that people can just tap to record and let's do let's do like export to Evernote because some people still use that. And let's do export to notion. And let's do public URLs that you can just share on a website. and let's do, you know, all this stuff and it just like almost hasn't mattered because like the core thing. No, no, no, no. I just want to tap a button and have it record and then it does that magic summary thing. I don't know how you do that, but it's amazing. I'm like, oh, that's all you want. So, like sometimes, yeah, just nailing the product is kind of it. But I am trying to diversify. I think I think the whole thing is at risk. Um, unless I do other stuff. So, we try to do other stuff >> because Apple's going to eventually add it in. All right. You want That's what you meant, right? >> No, just because there's Well, Apple I mean there is a chat GBT version of Wave that just like records background audio on your computer. And I was like, whoa, this is done. And and the iPhone can record can record phone calls now. That's a thing now. But it hasn't mattered. People just use the thing that they want to use. I don't know. >> I don't know. >> All right, let's close it out with profit. I've asked you your profitable and I did the thing where I asked the question badly and so we were able to skip past it roughly like where's profit right now? >> Uh, you know, gross was like seven and then Apple and Google take a bunch of that. So, let's say like, you know, like five lands and maybe I I keep three or something like that. >> That's boss. That's killer, man. Yeah, it's working out. >> Yeah, >> it's working out. But everyone's like, "Oh, no. It's all about Uber money." It's like, "No, no, no. It's new." >> No, this thing I'll tell you. >> The most esoteric problems in the world. It's like, "No, I want you to know that I got rich twice, not just once. >> I I need you to know that I'm very insecure. I need my >> The people who know this space are watching and have you. I constantly see you on list. People are so excited that I was going to have you on because you are doing the thing that everyone else is aspiring to do. You're building the company individually using AI and showing other people how it's done. And I I really appreciate you coming on here and chatting with me. And I hope uh to get to go for a run with you at some point.
The YouTube video titled "How Josh Mohrer built Wave AI," hosted by Andrew Warner from The Next New Thing, features Josh Mohrer, a solo founder who created a profitable AI company, Wave AI. The video spans 56 minutes and presents a detailed discussion on the journey of building a $7M ARR AI business without a full-time team, emphasizing the impact of modern AI tools.
Josh Mohrer's story illustrates the potential for solo founders to thrive in the AI landscape. The conversation offers valuable insights into practical entrepreneurship, the strategic importance of choosing the right ideas, and the transformative power of AI tools for product development. The video serves as a motivational case study for aspiring entrepreneurs looking to navigate the complexities of building a tech company independently.
Presented by Zapier https://zapier.com/ What does it look like when a single founder builds a profitable AI company — alone — and quietly grows it to millions in revenue? In this episode of The Next New Thing, Andrew Warner sits down with Josh Mohrer, creator of Wave AI, to unpack how he built a $7M ARR AI business with no full-time team — and how modern AI tools fundamentally changed what’s possible for solo founders. Josh previously helped scale Uber in its early days, but Wave AI is a very different story. It’s a one-person, profitable SaaS built around a deceptively simple idea: record real-world conversations, transcribe them, and generate high-quality summaries people actually trust. No hype. No venture capital. No big team. In this conversation, Josh walks through: -Why Wave focuses on generic, in-person audio instead of just meetings -How AI finally made audio summarization a real product -What it’s like to do all the engineering, support, and product work yourself -How tools like Claude Code turned him into a full-stack builder -Why polish and quality matter more than features -How he thinks about pricing, growth, and staying independent This is a grounded, honest look at the realities of building with AI today — not as a demo, but as a real business that pays real money. What you’ll learn -How a solo founder built a $7M ARR AI app -Why summarization is still AI’s killer use case -How AI tools let non-engineers ship real products -What “vibe coding” actually looks like in practice -How to decide which ideas are worth years of focus -Why general-purpose products can win over vertical SaaS -How solo founders think about scale, profit, and control -Why quality and relentless polish still beat growth hacks Episode Highlights / Timestamps 00:00 $7M ARR as a solo founder 01:21 Profit, margins, and team size 02:51 Josh’s path from Uber to Wave 05:24 Choosing ideas in the early AI days 06:18 Why summarization felt like the killer app 08:15 Competing with Otter, Fireflies, and others 10:21 Recording real-world audio vs meeting bots 12:18 Spending more on AI to improve quality 13:39 Knowing you’re onto something from user emotion 15:09 Why Wave stayed general instead of vertical 16:12 Learning to build with ChatGPT 18:00 How Wave’s architecture evolved 19:39 Using Claude Code day-to-day 21:00 AI agents analyzing analytics and logs 25:21 The tools behind Wave (Cursor, Twilio, Adapt) 27:27 Building instead of buying SaaS tools 30:00 Using AI to ship features faster 32:06 Why Zapier matters for data portability 34:03 The future of cheap, abundant software 36:09 Running Wave like a corner store, not a startup 40:12 Growth goals without VC pressure 42:18 How Wave gets customers today 49:03 Why SEO side projects didn’t convert 50:24 “If you’re good, things might work out” 54:45 Revenue breakdown and take-home profit 👉 Join us: https://thenextnewthing.ai/