Épisodes

  • Transforming Creativity and Content Creation with Zach Hanson - A Deep Dive into the Future of AI Product Management
    May 19 2023
    Zach Hanson is an expert in artificial intelligence and machine learning product management, with experience developing AI solutions for Fortune 500 companies including IBM, Brightcove, Capital One, and Wells Fargo. He holds degrees from the College of Charleston and Johns Hopkins University. In today’s episode, We discussed power of AI, Zach discusses how it aids in tasks like content parsing, summarizing, and producing video trailers. He also explores the interconnection of different AI models, and the rise of content generation through freeform speech. We discusses how AI technologies, like ChatGPT and GitHub co-pilot, can streamline creative content creation and refine stories or code. Finally, for those looking to enter the AI product management or creation space, Zach advises building something to understand core product fundamentals and getting comfortable with data. Tune in to hear Zach Hanson's insights and experiences in building Inworld AI and how you can apply these lessons to your own product. Find the full transcript at: https://www.aiproductcreators.com/ Where to find Zach Hanson: • LinkedIn: https://www.linkedin.com/in/zachary-hanson-a1a761a3/  Where to find Dhaval: • LinkedIn: https://www.linkedin.com/in/dhavalbhatt  Transcript:- Dhaval: Hey, Zach, tell us what you've been up to. Zach: So everybody, I'm Zach Hanson. Dhaval it's great to see you again. You and I used to work together in a, past life in the AI field but What I've been up to lately is pushing for AI innovation within video, specifically at Brightcove, which is a great company, and working around how we actually build out and better experiences for our customers in the video space. Dhaval: Oh, wow. That's like the most cutting edge space in AI right now. The video and AI generated videos and all of that as we speak in April of 2023. What specifically is Brightcove's mission? And, yeah, if you could share a little bit about the, what is the product, what pain is it solving, and what are your customers, who are your customers? And then a little bit about where you are in the product space, like in the journey. Like, are you a startup? Are you, have you already found the product market fit? Are you enterprise? So yeah, any of that? So, a lot of questions, but just trying to understand the product story. Zach: So it is interesting, right? So we're a very unique company. So Brightcove's goal, to answer your first question, has become the most trusted company in streaming. So that's our goal, right? That's the big headline. That's what we're pushing and we kind of run the line of being a media company and an enterprise company. So from a competitive landscape perspective just to frame where we're at, would be the Vimeos of the world, Kaltura and some other companies that are providing OTT services to brands around the world. And Brightcove has actually been in the game for over 15 years. So to answer another piece of your question is we're a publicly traded company. We've been around for over 15 years and we've been providing these services for live streaming, for video on demand OTT for years, and it's pretty amazing. So we're one of the biggest little companies you might not have heard of. But with that comes a lot of responsibility around data because we actually ingest around one to two petabytes of video data every month. So we have an absolutely enormous catalog and data warehouse of videos, audio, all sorts of content that is being leveraged by our customers. Now, to answer one of the other questions rolled in there about our customers and some of the ones we can talk about, we help deliver video, great quality video with our encoders for the Olympics the year ago. Wow. Yeah, we've done that. We work with south by Southwest. So folks, if you've watched conference video from there, that's Brightcove under the hood masterclass for instance. So we have a huge list of really amazing clients who are doing All sorts of different things with video. And that's what we're trying to enable. Now, the other piece of your question, where are we at in the product journey? Are we a startup? Are we a mature company? And I would say from the delivery of video, we're very much a mature company. But when we start to think about machine learning and leveraging Models that are out there building our own models, we're really much more in that startup phase where we're trying to find the appropriate product market fit for the different types of models we might build or leverage the really immense amount of data we have to train models and do some really cool things. Dhaval: Wow. Thank you. Thank you so much for answering all those questions. I threw a barrage of questions at you. Wanna dive in a little bit on your last answer here on the topic of being new to AI ml. And what I wanna understand, Zach, is what is the customer trying to do when they want to use the AI ML capabilities for Brightcove? What is the thing that's ...
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    22 min
  • This founder built a platform to create lifelike characters for immersive experiences | EXCLUSIVE!
    Apr 14 2023
    Kylan Gibbs is the CPO and Co-Founder at Inworld AI. He is the former Product Manager at DeepMind, Consultant at Bain and also Co-founder at FlowX. In today’s episode, Kylan Gibbs shares his experience working in AI startups and consulting, as well as his time at DeepMind working on conversational AI and generative models. He emphasizes the importance of iterative processes, adapting to market pressures and user feedback, and the need for creativity in defining good content in the AI space. He advises aspiring product creators to focus on building something that validates their value rather than teaching others before learning. Tune in to hear Kylan's insights and experiences in building Inworld AI and how you can apply these lessons to your own product. Find the full transcript at: https://www.aiproductcreators.com/ Where to find Kylan Gibbs: • LinkedIn: https://www.linkedin.com/in/kylangibbs  Where to find Dhaval: • LinkedIn: https://www.linkedin.com/in/dhavalbhatt  Transcript:- Dhaval: This founder and his team built a platform to create life-like characters for immersive experiences like games or books. In this show, Kylan Gibbs shares his thoughts on generative AI and how to manage products where you create immersive experiences. He also discusses his career journey. Kylen is a former product manager at DeepMind. He was also a consultant at And a co-founder at Flow X. Now he's a C P O and co-founder at In World AI. Hey Kylan, welcome to the show. Tell us about where you are in your product journey, a little bit about your product as well. Kylan: Awesome. Yeah. Thank you so much for having me. Super excited to be here. So At InWorld, we're building a creative suite of tools that allow people to build these AI characters and then integrate them into immersive experiences,  games, entertainment, enterprise experiences as well. And we started just over a year and a half ago.  And basically where we're at now is we have this studio where people can come in and actually craft their characters. We got integrations with things like Unity, unreal, where they can bring them into games, as well as Node for actually bringing these into web experiences. We've also then got sort of this arcade and, basically, which is a way to actually share these characters directly to the web. And then a suite of experiences that we're gonna be releasing this year that are self-produced. So we've got, for example, in world origins to sort of show off  the power of the product. And this is all to sort of say that this is kind of crafting that end-to-end user journey of being able to build these characters and then bring them into worlds. And basically where this has all been going is kind of setting the foundations of actually being able to not just create the characters, but, build them into experiences and deploy them scalably. And I think,  compared to a lot of the things you're seeing in generative AI right now, like it really is production ready. And we've been focused on that.  And so we've already seen  a lot of developers starting to churn out games and experiences now that are integrating in world characters. So it's super exciting to kind of see that. So, of course still early on,  I'm excited to see where it goes, but already seeing hundreds and thousands of users using it,  plus,  actually seeing live experiences is pretty magical.  Dhaval: Wow.  There's a lot there. So let me just quickly ask you a follow-up question on how you support game creators. Is that right? Or do you support all kinds of creators, like writers,  novelists, or just focus on gaming experiences at this?   Kylan: We're supporting really any type of creator. So ultimately,  we have users who are, for example, very,  well-known science fiction authors who are using their characters to iterate on experiences and potentially write new books with,  we have people actually building like AAA games and these types of experiences where you're building multiple characters and integrating them into worlds. We have entertainment companies who,  you imagine integrating these into parks or like live experiences where you're actually interacting with. And then we also have enterprises who are using these for things like,  brand representation, corporate training. So really we're open to any types of creators. Of course, we're really focused on  narrative oriented, immersive experiences, and our product is best built for that. So, you know games, narrative, entertainment, you can think about  the adaptation of movies and IP to  these experiences. And that's really  what  we're targeting. But we're really open to any types of creators, and  we're finding new ones every day.  Dhaval: Yeah,  I picked up a keyword there. Narrative oriented, immersive experiences that could be representing multiple customer segments. What is your product journey like? How do you go about defining your product capabilities with such...
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    19 min
  • How this founder built a personal language model to mimic your behavior, knowledge, and style.
    Apr 5 2023
    Suman Kanuganti is the Co-Founder and CEO at Personal.ai. Previous to Personal.ai, Suman also founded Aira. Suman holds his BE degree in Engineering, MS in Robotics, MBA in Entrepreneurship, and ten patents in emerging technologies as well. Suman also founded Aira. Personal AI is a GPT implementation designed to mimic an individual’s behavior and to speak like them. In today’s episode, Suman shares his goal is to create AI systems that understand and replicate users' communication patterns and cognitive abilities. Suman emphasizes that their language model has time awareness, allowing it to adapt its knowledge base depending on the user's age or point in their timeline. Suman also shares his some learning lessons for AI product creators. Find the full transcript at: https://www.aiproductcreators.com/ Where to find Suman Kanuganti: • LinkedIn: https://www.linkedin.com/in/kanugantisuman/  Where to find Dhaval: • LinkedIn: https://www.linkedin.com/in/dhavalbhatt  Transcript:- Dhaval: So today we have Suman Kanuganti on the show. Sunman is the co-founder of personal AI, a product that he will talk about and, we'll learn a lot more about where his learning lessons bear, what his learning lessons bear and all that other stuff. So yeah, let's get started. Suman, would you mind introducing yourself and tell us a little bit about your product, AI product? Suman Kanuganti: Sure Dhaval. Thanks for having me. I'm Suman Kanuganti. My background is in engineering. Over 10 years ago I started creating companies. This is my second company. Previously I built a company called Aira, A-I-R-A. My philosophy always has been how do use technology kind, solve, hard human problems. Aira was about using technology to fill the gap of missing visual information for people who are visually challenged, such as blind and low vision. And personal AI is about augmenting people's mind where memory, cognition, and our time is limited. And we would want to augment that using technology by creating a personal language model of every individual that essentially learns to behave and act and learn to be you. So that's a little bit of my background and who I am. Dhaval: Wonderful. Thank you, Suman. Thank you for that introduction. Tell us a little bit about what personal AI's narrative is like. What is the, who is your target customer? What kind of a problem, specific problem you are solving with that product? And what is the overall narrative? How is it different from your competitors? Suman Kanuganti: Yeah, totally. As individual people, like on a day-to-day basis, we create and consume a lot of information. Like, you know, a lot of experiences have a lot of conversations. But obviously, 80% of that is lost or forgotten. Our goal with personal AI is to be able to create a model. That actually learns your knowledge, your style, and your voice, more or less like to be a digital version of you. Imagine being able to surface relevant pieces of your own knowledge, on demand whenever you need it. Or imagine, you having conversations in a, chat or text message. Are people talking to you? Where relevant pieces of information when we start facing as you speak. So our intention is to be able to augment, humans with an extension of their own mind. Because one cognition is limited and then two time is also limited. You mentioned about the target market. Our goal is to actually go after everyday consumers. Our intention is to have everybody have their own personal AI. That is trusted by them. The data belongs to them. The model gets trained over a period of time and innovate kind of grows alongside with you. Unlike, public or general models that exists such as open AI, such as, Google or Alexa, which is mostly like trained on public internet of data. Personal AI is a unique model that also uses similar architecture such as GPT, but actually trains on individual person's data. And it does so stylistically, relevantly authentically to replicate as you would. So we are trying to essentially like replicate, your thought process and your mind and give you an extension of your. Dhaval: Wow. So it is adding the stylistic and tonality and the personal attributes to your, to the replica that you are building for someone which is not there in current GPT or any of those products, right? So there's a bias that. GPT has very confident answers, but doesn't necessarily align with your style or may not align with the way you communicate. And what you are saying is that not only does personal AI helps you do that, but also creates the model in the first place using your personal attributes , did I get that right Simon? Suman Kanuganti: Yeah, totally. So you will create what we refer to as a memory stack, which is essentially taking all your unstructured data that you ever have in your digital world. Let's say you're having conversations online, you are texting with people. You probably have written a bunch of different knowledge pieces out there....
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    20 min
  • What happens when a PhD Professor in Analytics launches an AI Writing Product?
    Apr 4 2023
    Martin Pichlmair is the CEO of Write with LAIKA, Associate Professor at ITU Copenhagen and Co-founder of Broken Rules. He Holds an PhD degree (Department of Informatics) in Vienna University of Technology. In today’s episode, Martin explains that LAIKA is designed to make AI-generated writing more accessible and user-friendly, with the AI and the user working in a tight interactive loop. Martin highlights that their product uses a "no-prompt" system, which means users don't need to be skilled in prompt engineering to get meaningful results from the AI. Instead, the software handles most of the prompt engineering behind the scenes, making it easier for users to interact with the AI. Tune in to hear Martin's insights and experiences in building LAIKA and how you can apply these lessons to your own product. Find the full transcript at: https://www.aiproductcreators.com/ Where to find Martin Pichlmair: • LinkedIn: https://www.linkedin.com/in/martinpi/ Where to find Dhaval: • LinkedIn: https://www.linkedin.com/in/dhavalbhatt  Transcript:- Dhaval: welcome to the call, Martin. Thank you for joining. Tell us a little bit about your product. Martin Pichlmair: Okay, so I'm Martin. I'm the CEO of Write with LAIKA. And our product is a kind of creative writing tool that is using large language models, in our case, quite small, large language models to, support writers when they get stuck or when they need more text, that is influenced by their previous writing. Dhaval: Wow. Okay. So when the writers get stuck or when they. Interested in continuing with the style and the tone of their previous work. They can use your product including the contents, the storyline, or anything along those lines. Martin Pichlmair: Yes. How LAIKA works is that you you upload existing writing. You have when you get, for example, stuck in a murder mystery because you don't know who the murder is. Funnily, we had that case twice already with users. And then you upload what you have written before and our, system fine tunes a language model With your text and then you can prompt the model to continue writing in your voice, in your using your characters. You mentioned using scenes you have been writing about in the past and very much sounding like you. Now you can do that with your own text. Or with the text of famous writers, we have, for example Dostoevsky in there and Jane Austen in there. And a lot of, all of them, of course, dead and out of copyright writers that you can also collaborate with in a similar way by asking them how they would continue a sentence, for example. Dhaval: Wow. So it has memory and context as well as style and the personalization built into it. So is that. Large language model that's very different from Chat GPT 3, which would spit out very confident phrases very long phrases. But they're also having the same style. Is that, how is that different from the large language models? You said that you have used large language models or you have you built on top of them or like, help us a little bit on how have you built this. Martin Pichlmair: So we've built this on very small, large language models. They're still in the same architecture and come from the same family, but they're very small because that gives us the ability to fine tune them very quickly. It takes like five minutes. If you upload , a half done book, for example, takes five minutes and you get your own, we call them brains because that's a nice metaphor. Your own brain based on your writing to interact with. Now, of course it has an understanding of the context, but it's not always super, like it doesn't have an actual understanding. It can just play with probabilities of words, just like all of those language models do. Dhaval: Wow. Very cool. Let's dive a little bit into your product journey, is this your first startup? Is this your first AI product? Tell us a little bit about your background, Martin. Martin Pichlmair: So I have a weird background. I did a PhD in computer science originally at the University of Vienna, at the tech university, and then worked in academia for a couple of years. I got a little bit, I don't know I wouldn't say bored, but I wanted to do something differently. So I started a video game company and then after a year started another video game company because the first one didn't work out. It didn't work out, but it also didn't not work out. It was fine. It was just not meant to be a longer existing thing. The second one actually is still around. It's called Broken Rules and makes awesome in the games. But I'm not involved anymore because I decided at some point to go back into academia. So that's where I spent the last seven years until last year where I just realized with my partner, That we have a huge connection between what I was doing in research, which was using generative AI to create systems for video games and her background, which is writing for video games. So we sat down and, uh, started ...
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    18 min
  • This former Dropbox engineer built an AI Product to create stylized eCommerce product photos
    Apr 3 2023
    Boyang Niu is the Co-Founder of Stylized. He holds Bachelor and Master Degrees in Computer Science from the University of Pennsylvania. In today’s episode, We discussed his journey and vision for the AI-powered e-commerce platform. Boyang shares the long-term vision for Stylized, which is to become an asset-first e-commerce platform, simplifying the process of setting up an online store by taking care of all abstractions, from website building to SEO. Boyang emphasizes the importance of understanding one's strengths, whether it's distribution, core ML, or UX, and iterating quickly to create a high-efficacy product. Tune in to hear Boyang's insights and experiences in building Stylized and how you can apply these lessons to your own business. Find the full transcript at: https://www.aiproductcreators.com/ Where to find Andrew: • LinkedIn: https://www.linkedin.com/in/boyang-niu/ Where to find Dhaval: • LinkedIn: https://www.linkedin.com/in/dhavalbhatt  Transcript:- Dhaval: This former Dropbox engineer built an AI product to create stylized professional product photos for people running e-commerce shops. Boyang is a founder of Stylized ai. He Figured out a way to leverage depth extraction, AI and 3D rendering to empower e-commerce sellers to transform their phone photos into professional assets for everyday use. One of the biggest lessons I gleaned from this conversation is how he approaches product development by focusing on areas of growth and applying the user mindset to product creation. Hey, Boyang , talk to us. Tell us about your journey. How did you come to, identify this, space? And, tell us a little bit about you first and then we can talk about the product. Boyang: Yeah, absolutely. Great to be here. Dhaval I joined Hive. So Hive was a social media company back in 2015, building like a Twitter clone. We pivoted hard to enterprise computer vision SaaS. And so that's where I first like learned about ImageNet, um, did all this AI stuff built like a trading pipeline and all of this stuff. And then after that, worked in some productivity tools at Dropbox, worked at e-commerce at Square, and then for the latest venture, I like put all those things together. And really it's about targeting the market that I care about, which is e-commerce sellers, which is a huge market, right? You get a lot of customer iterations, a lot of customers to go after. You don't have to really be scared to approach any particular one. And that's a great feeling when you're just getting off the ground, right? Because you need that iteration cycle. And so we, we. Sort of putted around me and my co-founder, looking for ideas that really resonated. And one of the things was like, oh, people want to take photos, right? People, when they sell things, they need photos of the thing. that's where buyer decisions are made, and they pay like 35, $50 per photo professionally for these images that they're putting on Shopify. And so people are coming up to us, they're being like, oh I waited like six weeks for this photo set. For, 250 photos, it cost me 10 K or 5k, whatever. And we're like oh this is interesting, right? Because, there's this new image stuff going on and maybe we could really leverage that, to make this workflow better.So that's really where we came up with the idea for, what is now Stylized, Stylized.Ai. What we're building is professional product photos, for people running e-commerce shops in under 30 second Dhaval: oh wow. So tell us a little bit about where your product is at this stage and have you launched, is it in the pre-launch stage? Is it in the wait list, stage, et cetera, et cetera. Boyang: Yep. We have launched, we are soft rolling out a launch with this is a prosumer product, right? And so we're really concentrated on the B2C motion of go to market. We're doing like organic seo. we're running a bit of ads on the side. And so this is all just to build up , a brand name and also to get really fast iteration on what the product surface is. So we have soft launch. We have about 200 customers right now. That's growing probably at a rate of, I would say, like 15 to 20 per day. Which is pretty good, right? It's only been like, I think since we opened the beta. To one and a half weeks. So we are pretty happy with that. And I think the goal for us really is to get that distribution and get in front of people into their workflows such that we get embedded. And because no one really knows, like honestly, no one really knows where the AI models are going. And so by in the next three months, someone could do some really magical stuff, right? And we want to be able to put that magic in front of customers. And to do that, you have to have a big audience. So that's our goal, right now Dhaval: That's awesome. Focusing on distribution first, that's novel. Most of the founders and product creators, they get their heads down and they start building the product and it. They spend months and months and months ...
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    19 min
  • How founder this build a website copy and image generation plugin
    Mar 31 2023
    Andrew Palmer is the Co-Founder and CEO at Bertha Ai. Single Dad of a Twenties daughter He love to travel, play golf and attend WordCamps around the world. He love supporting Plugin and theme developers across the globe as it helps them get a profile and earn a living from their knowledge of WordPress, AI Content, PHP, Laravel and JavaScript. In today’s episode, We discusses his journey and the development of Bertha AI, an application layer built on top of OpenAI's GPT-3. Bertha AI is designed to help website owners create and manage content efficiently. Andrew shares his advice for new entrepreneurs interested in creating AI products to start by fine-tuning their prompts and understanding what they want to achieve with AI. Tune in to hear Andrew's insights and experiences in building Bertha Ai and how you can apply these lessons to your own business. Find the full transcript at: https://www.aiproductcreators.com/ Where to find Andrew: • LinkedIn: https://www.linkedin.com/in/andrewpalmer/ Where to find Dhaval: • LinkedIn: https://www.linkedin.com/in/dhavalbhatt In this episode, we cover: [00:00] Introduction to Andrew Palmer and Bertha AI [00:04:20] How Bertha AI uses GPT-3 for content creation [00:07:47] Andrew's entrepreneurial journey [00:13:58] Advice for those looking to create AI products using GPT-3 [00:17:17] Staying motivated as an entrepreneur [00:19:31] The future of Bertha AI and content industry Transcript:- Dhaval: Hey, Andrew, thank you for joining the call. I would love to hear from you on what your product is, like who does it serve, and what are the things that it solves for? Andrew: Well, Bertha.Ai solves a multitude of problems. In WordPress, for instance, we have web developers dealing with clients that really just can't get write together own content because they're not concentrating on what they should say on a website. They're concentrating on what they should say to their direct clients. They're speaking to every day on the phone or in day-to-day meetings, sales meetings, networking, that type of thing. So WordPress has a content gathering issue with Bertha.ai, when you are developing a website, the developer and all the client can use Bertha.ai to create interesting content around what the services, the particular website client provides. It can also help them write blog posts relevant to their particular industry. It can basically help you get the right words out there at the right time and much, much faster. So you're going to increase your productivity as a web developer and also if you're a client building your own website, you are going to be able to increase your productivity and get more ideas about what people actually want you to talk about within your services. So that's what Bertha.ai is all about really. Dhaval: Wonderful. Is that a content management system or is that a plugin for Wordpress? Andrew: So Bertha.ai is a plugin for WordPress, which is an application layer built on OpenAI, which everybody's hearing about the moment, probably one of the best viral campaigns out there with GPTchat. With Bertha.ai, we've got a number of modules in there that help you get your unique proposition together. You can write a full on about page. As of this week, which is January, 11th of January, so coming soon is GPTChat to Bertha.ai as well. And as of by the end of January, we'll have a Google extension out there as well. So you'll be able to use Bertha.ai everywhere. And the whole point of being able to use it everywhere is that not every website is built using WordPress. So you'll be able to use it in Shopify, Wix, those kind of proprietary website building tools. Dhaval: Wonderful. So you just answered my question that you are expanding for being a word, from being a WordPress only product to more of a open access for all types of content management systems. Andrew: Yeah, using it everywhere. So when, if you're in your Shopify site, you'll be able to just invoke Bertha .ai and write fantastic product descriptions or enhance your product descriptions. You'll also be able to get page content that is relevant to your users. So you'll, you'll ask one line question and Bertha.ai will be able to give you the answer to that question. And then you can copy and paste that, edit that to make it more human-like if you like. And then you can post that in your Shopify website or your Wix website or Squarespace, whatever you're using. Dhaval: That's wonderful idea.Tell us a little bit about where you are in your journey. When did you start first? How many customers you have? If you can share revenue. What is the split between developers versus end clients? From a business point of view, tell us or give us a few clarity on where you are in your journey. Andrew: Where we are is we're nearly a year down the line or just over a year down the line. Actually, we launched in September 2021. So, just the MVP version, and we launched that for basic WordPress plugin. So we're a ...
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    22 min
  • This founder built an AI product to replace your employer with AI.
    Mar 30 2023
    James Clift is the Founder at Durable. He is the former Founder at KarmaHire, WorkStory. VisualCV and Holopod. He building businesses since 2005. In today’s episode, We discusses the benefits of large language models (LLMs) like GPT-3, emphasizing their ability to generate human-like text that can be used for a wide range of applications, including content creation for websites. He also emphasizes the significance of having a data-driven approach to fine-tune the models and make them more effective for different business categories. James shares his experience of finding partners with AI expertise, highlighting the importance of networking and being involved in communities like South Park Commons. He believes in sharing work and attracting like-minded individuals to join the venture. Tune in to hear James's insights and experiences in building Durable and how you can apply these lessons to your own business. Find the full transcript at: https://www.aiproductcreators.com/ Where to find James Clift: • LinkedIn: https://www.linkedin.com/in/jclift/ Where to find Dhaval: • LinkedIn: https://www.linkedin.com/in/dhavalbhatt In this episode, we cover: 00:00:00 - Introduction 00:03:50 - The story behind Durable and its AI-powered website building platform 00:07:22 - The importance of user feedback in AI model training 00:10:49 - Fine-tuning and prompt engineering for LLMs 00:11:22 - Best practices for partnering with technical teams 00:12:27 - Durable's growth, funding, and team size 00:13:20 - Remote work culture at Durable 00:13:49 - Finding AI expertise and attracting technical partners 00:15:16 - The value of sharing your work and attracting like-minded people 00:16:20 - The future vision for Durable Transcript:- Dhaval: This founder built an AI product to replaces your employer with ai. Yes. You heard that right? Your employer, James, is our guest in today's show, he shares his learning on how he built a product in a hyper-competitive market space. James Clift is a founder of durable. Durable, makes owning a business easier than having a job. He's a former founder of KarmaHire WorkStory, VisualCV and Holopod. He has been building businesses since 2005. Welcome to the call. James, tell us about your product. James Clift: Awesome. Yeah, so Durable is the fastest way to build a website on the internet. In three clicks, in 30 seconds, you can generate a business website using ai. And not only can you make a website, we've got the rest of the stack as well to operate a business, we've got a CRM, an invoicing tool a financial account. So essentially everything you need to start and grow your business in just a few click. . Dhaval: Wow, that's very powerful vision where do you sit in your market space? are you serving a specific customer segment? James Clift: Yeah, so we're totally focused on solo operators, so anyone that runs a solo business. So primarily those are service-based companies, so everything from a web designer, marketing contractor, copywriter to more traditional physical service companies like Lawn care, home Services. Plumbing contractors, skilled trades. So essentially anything where you're trading your hours for dollars or your hours for projects we're a great fit for if you're selling goods on the internet or you have a brick and mortar store, we're not the best solution there, but solo service-based companies is our primary market right now. Dhaval: How did you differentiate yourself in this crowded market space? I believe it may be high competition market space. But You have, you seem to have found reasonable amount of success based on what I have seen about you online. How did you create that differentiation for your product? James Clift: Yeah, I think there's a lot of ways to look at markets like most markets are very large on the internet, and for us it was a few things. So one is bundling, so providing all the tools you need to run your business under one login. So that was a big value add from the start. So you don't have to learn five different tools. You don't have to pay for five different subscriptions or 10 different subscriptions. It's everything you need under one platform. And then the other piece is what can you actually do 10 times better than everybody else? And for us it's the speed of actually getting a website. Out to market. So instead of taking, typically it's weeks to get a website live, if you're really good it's days. If you're really, really good, it's hours. We actually do that in minutes. So there's this order of magnitude that makes that thing faster, or that business process faster. And it actually unlocks a lot of creativity, a lot of, just makes it more fun and playful, not stressful. And I think you open up these brand new markets by just anytime there's an order of magnitude step change. Something's 10 times faster, 10 times better, 10 times more intelligent. That creates these huge opportunities. And I think AI as a platform is definitely ...
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    19 min
  • This founder built an AI Writing Product that serves 4 million customers and got acquired in 2 years.
    Mar 29 2023
    Abhi Godara is the Founder & CEO Rytr. He is also the Founder & CEO at HelpTap. Rytr is an AI writing assistant that helps you create high-quality content, in just a few seconds, at a fraction of the cost! In today’s episode, We discusses the initial stages of his startup, where they utilized organic channels like LinkedIn, Facebook, and Reddit for marketing. He also discusses acquiring training data and recommends strategies depending on the domain, mentioning that GPT can work with a limited number of examples. Abhi highlights the importance of user experience in differentiating his product from competitors. Tune in to hear Abhi's insights and experiences in building Latitude and how you can apply these lessons to your own business. Find the full transcript at: https://www.aiproductcreators.com/ Where to find Abhi Godara: • LinkedIn: https://www.linkedin.com/in/abhimanyugodara/ Where to find Dhaval: • LinkedIn: https://www.linkedin.com/in/dhavalbhatt In this episode, we cover: 00:00:00 - Introduction 00:03:25 - Abhi's motivation for building an AI copywriting tool 00:05:15 - Strategies for acquiring the first thousand customers 00:09:40 - Differentiating the product in a competitive market 00:12:21 - Acquiring and using training data for AI models 00:13:50 - The story behind the acquisition by Copysmith 00:15:08 - The future of AI in content creation and advice for AI creators Transcript:- Dhaval: This founder built an AI writing product that serves 4 million customers, and it got acquired in two years from Founding Date in this episode, we discuss his product development approach that differentiates his Gen AI writing product from the plethora of other gen AI writing products in the market space. We discuss his product differentiation strategy, his training, data gathering approach, and how he got his company acquired. Today my guest is Abhi Godara. He's the founder and CEO of Rytr and AI writing assistant that helps you create high quality content in just a few seconds at a fraction of the cost. Welcome to the show, Abhi tell us about your product. Where are you at with it? what's the four 11? Abhi: Right thanks Dhaval for having me. so I'm founder and CEO of Rytr one of the largest and probably the first one in the market AI writing platform. We have been there since last couple of years now. now we are serving close to 4 million customers all over the world with with close to perfect ratings pretty much on all the platforms. So it's been an amazing journey in terms of how, the platform has scaled which allows a lot of these content creators. Marketers And professionals to create really high quality copies across a range of use cases, purely through ai. So things like email writing, blog writing product description ads, you name it. Everything can be generated through our platform. Dhaval: When did you found the company? Abhi: So this was back in 2021 actually when we started working on this. although I've been in the AI space for a long time. but this idea took off only when OpenAI came to life back in 2020. So I was following that closely. And then when GPT 2 and then GPT 3 came out, and we bounced on that seemed like a great opportunity to build something like this and just to give you some background to that. Again I've been an entrepreneur for most of my career. And, when, one thing I've always found that content creation is a pain, especially when you're a small team just starting it's a fact that many startups and professionals fail because they do not possess the effective marketing and copywriting skills. While dabbling with GPT 3 on another sort of chat bot project, I realized the potential of this technology and the market it could address. And at that time we looked around and evaluated existing platforms and found the experience a bit frustrating. And decided, okay, let's give the market what it deserve. And that's how the AI writing tool was born. I think we were probably in the first six months of this technology when it came out. We launched this and yeah there is no looking back since then. From zero to almost 5 million customers now. Dhaval: Wow. 5 million customers in less than two years. Did you bootstrap this? Was this venture funded? Tell us a little bit about the financial side of the business, if you may. Abhi: Yes, absolutely. So the funny story is , it was completely bootstrap zero external financing or capital reached. We had a acquisition as well, last year now part of a bigger umbrella company called copysmith. And yeah, it was always a small team and even. As of today, we are just four people. It's a very, very small lean team. And for the first six to, I think nine months, it was just two of us, me and my co-founder, and we were just doing pretty much everything. So yeah, it's been a lean journey completely bootstrapped and even as of today we are a very small team that is focused on product and high quality customer support. Dhaval: Okay. We'll switch...
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    17 min