863 Lauren Raimondi: Blending AI Insights with Community Connection

Melinda Wittstock:

Coming up on Wings of Inspired Business:

Lauren Raimondi:

We came up with the idea, especially because my background is in live events, that we wanted to incorporate a face-to-face component. And so, we decided to work on an interactive live stream. We wanted to connect not only the text-based Q&A with the AI, but we also wanted a more dynamic face-to-face stream where people can know a more user-friendly version of that, where people can really engage with each other because it’s really hard to find that on the Internet as well.

Melinda Wittstock:

The pace of innovation in AI knows no bounds, with myriad new ways to apply it in all aspects of our lives and businesses. Lauren Raimondi is using it to take community conversations and advice to a whole new level with her platform Poldit. And I’m like a little kid in a candy shop because there’s nothing better than two badass women tech founders and innovators in AI like me and Lauren geeking out about all the ways we as women can not only improve AI but our lives and businesses at the same time.

Hi, I’m Melinda Wittstock and welcome to Wings of Inspired Business, where we share the inspiring entrepreneurial journeys, epiphanies, and practical advice from successful female founders … so you have everything you need at your fingertips to build the business and life of your dreams. I’m a five-time serial entrepreneur and I’m all about paying it forward, so this podcast is all about catalyzing an ecosystem where women entrepreneurs mentor, promote, buy from, and invest in each other …Because together we’re stronger, and we all soar higher when we fly together.

Today we meet an inspiring serial entrepreneur who founded her second business Poldit during the Pandemic simply because she was an overwhelmed mom-to-be seeking answers. Lauren Raimondi shares her vision for transforming our conversations online by melding AI-powered Q&A with live human interaction – and how she’s bootstrapping Poldit to tackle both information overload and the yearning for genuine human connection, plus how she’s balancing the personal and professional with her co-founder husband and motherhood.

Lauren will be here in a moment, and first:

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Melinda Wittstock:

If you’re looking for insights on entrepreneurial innovation and the resilient perseverance to make your vision come to life, you’re in the right place today … because building an AI-powered platform to transform how we best find relevant information around authentic human conversation … is not an easy task. Especially when you’re bootstrapping it.

Lauren Raimondi is the co-founder of Poldit, a unique early-stage company that is best described Hollywood pitch style as Quora Meets Zoom Meets Reddit Meets Clubhouse all powered by AI.

Today we talk about her entrepreneurial journey, overcoming adversity, and balancing motherhood with entrepreneurship – including why it’s so hard for female tech founders to get VC funding and the relentless spirit needed to overcome all the hurdles to success. Plus, we dig deep into AI, how its evolving, how to make it transparent and ethical, and much more.

Let’s put on our wings with the inspiring Lauren Raimondi and be sure to download the podcast app Podopolo so we can keep the conversation going after the episode.

INTERVIEW

Melinda Wittstock:

Lauren, welcome to Wings.

Lauren Raimondi:

Thank you. I’m excited to be here.

Melinda Wittstock:

I really want to dig deep into your origin story because it can’t have been easy starting Poldit when you’re pregnant and then you got another business know is going on in the background as well. So, tell me a little bit about how Poldit came to be.

Lauren Raimondi:

It was a pandemic know I was figuring out how to be pregnant. As you said, I have another company, all aces promotional staffing, that is primarily live, event based. And so, during the pandemic, the business went down to nothing, and I was pregnant at the time. So, in the midst of figuring out how to save that business, and I was also trying to figure out how to be a mom, and I just found that the information was really scattered. It was really hard to find things. It was hard to find. I had to go to a lot of different sources and groups to find consensus on things.

And even within platforms, there might be ten groups to find the same answer. So, I just wanted to simplify the process. I wish it was a little bit more interactive. So, I was talking to my husband, my husband is actually my co-founder, and he agreed when he was learning how to code, he went through the same struggle of trying to learn. So, we decided to create a platform that made it easier for people to find information.

Melinda Wittstock:

Just really briefly, what type of information, what’s the kind of context of how Poldit is best?

Lauren Raimondi:

Right now, it is primarily a Q&A platform, so we provide its Q&A with AI insights as well. So, the AI is actually part of the community, so you can up and down both the AI and we are initially starting with the content is tech business and careers, parenting and health and fitness. So, there are other topics people can discuss.

Melinda Wittstock:

It seems like a supercharged Quora almost. Is it?

Lauren Raimondi:

It is. Initially we realized after some market research that it was basically a more user-friendly version of that. So, we came up with the idea, especially because my background is in live events, that we wanted to incorporate a face-to-face component to that. And so, we decided to work on an interactive live stream, which is in beta and is just about ready to launch to the public in the new year. We wanted to connect not only the text-based Q&A with the AI, but we also wanted a more dynamic face to face stream where people can know a more user friendly version of that, where people can really engage with each other because it’s really hard to find that on the Internet as well. I realized that during the pandemic, especially webinars increased, podcasts increase and such, and so a lot of these digital engagements were becoming more prominent, and it was hard to find them right. So, we realized that it kind of married well with our Q&A, and that’s where our differentiator between something like Quora or a Reddit would be.

Melinda Wittstock:

100%. I think what’s really interesting about this, and I joke all the time that we live in a time of infobesity, there is so much information, and it’s so almost too much that becomes completely inefficient to find what you’re looking for. Like we’ve seen with Google search, just like it’s hard to get the right results that you want, and it’s overwhelming and so many sources, and let’s just say not all of them reliable. And so, in a way, is this really about curation so you’re able to get the sort of accurate information, how much of that is part of what you do?

Lauren Raimondi:

So that is probably one of the biggest factors, is exactly what you said. And that was what I had found. That was my experience when I was researching how to be a mom, is that I had to go through a lot of different resources, whether it’s different platforms or Google search, just to see how much of it, to see if people agreed, if there was consensus, were there influencers just being paid to say things? And that was exactly what we wanted, was one place where you can at scale see what were the most popular and unpopular answers in one easy to see place, but also having the discussion. If you do go to the platform, you’ll see that each question has its own whole page, and there’s a chat that is part of it, but it’s separate so that you can have an in-depth discussion, but also easily see the crowdsourced answers for the Q&A.

Melinda Wittstock:

So interesting. You’re bringing me back to a company that I did that was way too early. It was around 2010, and we were crowdsourcing news. It was called NewsiT. Okay. And it was at the very beginning, like, Instagram hadn’t launched yet. Right. And so this was sharing, like, text, photos, all of this on a mobile app.

And in the background, we were using natural language processing, unstructured data search, and the beginnings of unsupervised machine learning to try and understand from crowdsourced content what was not only relevant, but what was reliable. It was really hard. I realized that it was too early because it was actually solving the fake news problem before people realized that it was a problem. Like, I could see it coming, but investors couldn’t.

Lauren Raimondi:

Smart of you because we’re very much there. Right.

Melinda Wittstock:

But we were able to do quite a lot. And I’ve always seen this as a big issue and it’s tricky because even now people sort of understand, but they don’t completely understand. So, like in your go to market, I mean, obviously we’re a lot more advanced, there’s a lot more understanding about this particular issue. But how do you find it with your customers in terms of explaining are they getting it or is there a lot of education you have to do? So people do get it?

Lauren Raimondi:

And that is actually, I think AI is sort of increasing the concern about that, whether it’s through the images or through potential, being able to have a lot more fake content much more easily. I think people are really starting to understand that it’s becoming exponentially more of an issue. And that’s another thing that I realized that we’re combating with that is not only the crowdsourced at scale the answers, but also for the live stream, we’re not doing any recorded video. It’s only live stream because for us the whole purpose was person to person engagement. And AI is amazing in a lot of ways. It is something that we are using to enhance the platform. We’re going to be planning on putting it in other places within the live stream once we launch it as well. But the need for person-to-person connection, to just know and trust what you are hearing is, I think, more important than ever.

Melinda Wittstock:

So, tell me, let’s geek out a little bit. How does AI work in this context? Is it just sifting through all this information and analyzing it in real time or just tell me about.

Lauren Raimondi:

So right now, AI is more so an enhancement versus the central focus of the platform. So right now for the Q&A portion, it’s part of the community, right? You ask a question, you get an AI answer immediately along with the community answers, and then people can up and down vote it because the AI is not always correct and it doesn’t always give all the information. So, we are also going to implement the AI tagging because we wanted something that was easily to filter by topics and subtopics to more easily see information. And then within the live stream we plan on for searchability and even being indexed in Google and other search engines. We want to have the transcripts automatically be indexed, as well as adding other components within the stream itself that we have some ideas, but it’s not fully fleshed out just yet.

Melinda Wittstock:

Yeah, it’s interesting with this because I think it’s still sort of in its infancy. I mean, I think there’s going to be a lot of iteration around how this works. Like in our context, we have like 6 million podcasts on the Podopolo mobile app and web platform. So, hundreds of millions of episodes. So the AI is able to go into all those podcast episodes, for instance, and line by line, analyze them, tag them for topic, keyword, key phrase, context, sentiment, all these sorts of things. And it’s really powerful. And in our case, yeah, it has big implications for solving the search problem with podcasting, because searching it solves a real recommendation engine kind of issue, but it also allows that intersection between podcasters trying to find advertising, advertisers are trying to find the right podcast. So, there’s a matchmaking kind of component to it as well.

And it’s incredibly powerful in the analytics, in any kind of analytics kind of space. And especially if you’re cross referencing that topical data with actually information about, like in our case the audience, or in your case your customers or whatever, and how those things fit. So it seems like there’s a lot kind of in common about what can be done there. What’s really intriguing about what you’re doing, though, is adding the human component, like where the human interaction kind of meets the AI. So, tell me a little bit about how that actually manifests on your platform. Is the AI sort of obvious to people that AI is part of the assistance there, or is it just kind of really in the background, kind of assisting these connections, really evaluating the crowdsource component, or where people agree or disagree or things like that.

Lauren Raimondi:

So within the answers, it is obvious if you go to the platform, you’ll see that within the answers, Poldit will be one of the answers. We may come up with something cuter, but right now he’s Polditbot. And so, people can up and down vote the AI answer in addition to the other community answers. People see that that’s there, and right now it’s mostly in the form of a static answer within the live stream. It’ll be a little bit more in the background until we bring forth more of the informational component. So, one of the ideas of what we’re thinking of doing is having sort of like an info section where, based on some of the topics and the content of the conversation, there will be more fleshed out information where people can understand a little bit more about what’s happening. So that’s one of the ideas that we’ll have for the live stream. That’s something that will be a little bit more obvious, but the tagging, the indexing, that’ll be more behind the scenes.

Melinda Wittstock:

Right. With AI, there’s a lot of conversations about this, about transparency in terms of what’s going on. You think of these large language models and they’re all pulling from lots of different data sources, including the entire Internet, but so many different sources, they’re reflecting humanity back on us. And in so doing, they’re reflecting biases back on us, or they’re reflecting disinformation or propaganda, even back on us. They’re reflecting biases, or let’s call it out, racism, sexism, whatever. And so when you’re working with a large language model in that context, this is a big issue, I think, for everybody utilizing any LLM, whichever one it is. What’s the transparency into it? How do we know that that LLM is even kind of accurate in that sense?

Lauren Raimondi:

Well, without any sort of context, we kind of don’t. Right. And that was kind of what we were going for here is that within the Q and A, it’s up to people can actually give that information. Right. If you can comment on each poll, whether it’s through the chat or additional answers or up and down voting, you can say like, no, this is wrong, or this is what information is missing. Because what you said, you hit the nail on the head. And that’s, while AI is absolutely amazing, it could be potentially a very big issue.

Melinda Wittstock:

So, the live crowdsourcing in that context is training your model, I guess.

Lauren Raimondi:

So that is a great way to think of it, right?

Melinda Wittstock:

Because if you have that live human fact checking combined with it, I can see how that could be really powerful. It’s really interesting.

Lauren Raimondi:

And that is what it becomes. Is that very much so.

Melinda Wittstock:

Are you powered by like Chat GPT Whisper?

Lauren Raimondi:

We definitely do not have our own large language model. We are using OpenAI at the moment.

Melinda Wittstock:

Right. And it’s so interesting, actually, when you’re evaluating all these folks, I just have to ask you, what’s your take on AI and where it’s going? Because you have, say, this new French company, Mistral, which know in some cases having better results now than OpenAI. And then you’ve know, Claude, you’ve got all the stuff that Google’s doing. You got like Facebook in here now you got all these different folks, how do you evaluate which one of these is the best to use?

Lauren Raimondi:

It’s a very good question. It’s something that Ray and I have been thinking about because we actually incorporated the AI answers only a couple of days after chat GBT was launched. So we immediately saw that this was something that could be wildly useful in addition to the community and making it part of the community, and it was really the only one of its kind. And so we were actually saying that we may need to reevaluate in 2024 if it’s still the best one or if we should be looking at others.

Melinda Wittstock:

Right, exactly. And I think there’s so much that we don’t know. In our case, it’s sort of a mix of different things, plus our own proprietary system, but it’s like the Wild West, right? There’s more that maybe that we don’t know.

Lauren Raimondi:

I think that’s the case, and it’s evolving so rapidly that it’s a little bit hard to keep up for the moment. As far as AI goes, I think we’re probably going to keep it as is and then really focus on the live stream and the human component as well, since I think that face to face engagement is going to be, like I said, super popular while the AI race is still kind of in play. Right.

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Melinda Wittstock:

And we’re back with Lauren Raimondi, co-founder of the AI-powered livestream Q&A platform Poldit.

INTERVIEW CONTINUES:

Melinda Wittstock:

So you have a real differentiation there that’s kind of interesting in the market. Is there anybody approaching this in the same way that you are?

Lauren Raimondi:

As far as I’m aware, not in the exact same way for us, we kind of backdoored into sort of like a Reddit meets clubhouse meets Zoom kind of situation. It kind of turned out that way. Within the live streams, we have our Q&A section and we have the separate chat section, and it’s a dynamic multiuser. It’s a dynamic multiuser stream where you can see all the people who are viewing the stream. You can invite and remove people to come on face to face as needed. There’s multiuser screen sharing just for educational components, so I don’t know that anyone is doing it like that.

Melinda Wittstock:

Tell me the stage of the company and kind of where you’re at in terms of getting consumer adoption and investment and all that kind of stuff. What are some of the hurdles? Because it seems like fast progress.

Lauren Raimondi:

Right. So we launched last year, a little over a year ago, it was sort of a soft launch to friends, family, colleagues. We launched it and it’s been a lot of getting market feedback based on that. We also launched it to our local community of parents because it initially started out parenting focused. Right. I mean, that was how it was born because I wanted that information specifically. Yeah.

Melinda Wittstock:

From your own personal experience, which is often the best way. It’s just like Podopolo was formed because I’m a podcaster and I kind of understood the pain of podcasters and fans and advertisers around that industry. Right. So many people create great companies out of their own personal experience. So that makes sense kind of really what you know. And so, you’ve just been soft launching it out and getting the market. So do you feel like you have the product market fit, like happy customers who are like, yes, I love this, and I would eventually pay for it. Where are you on that trajectory?

Lauren Raimondi:

That is part of what we are doing right now. So, we realized that people really loved the idea for the platform, and we have a lot of organic traffic to it already without doing any sort of marketing or anything. We’re not doing too much because we realize that the live stream is the big differentiator and that’s going to be, and that’s what people seemed most interested in. I’ve talked to my clients from my other business who’ve been really interested in using it from like a webinar type of a standpoint, even influencers engaging with their audiences. We’ve spoken with a few people, so we’re still kind of in that phase. And we do have a few people who are interested in helping us in actually conducting some streams once we launch at some point in January. So, we’re still determining that we’ve been talking to people, and once it’s launched, we’ll really be able to see what the interest is, which topics people are most interested in, and what they are most interested in using it for. Right.

Melinda Wittstock:

Well, you just described what is so true of all startups. I mean, it’s such an iterative process. We have these hypotheses that we basically test until we get it right. Has there been anything that’s really surprised you, where you had a thesis and then you found something different, or has it mostly been confirmed or in that iteration, what have been some of the surprises?

Lauren Raimondi:

Sure. So the Q&A, we didn’t realize, I thought, that it would be this huge difference, you know just because it was so much more clear and easy to see information and having the conversation in the same place, but separate. And people liked that. But we realized that it would take a lot to focus on just that as the company, because it was maybe not so different to Quora and Reddit than we thought, even though it has a lot of differentiators. So we had to take that feedback and really think about not only what does the market want, but what do we want and what fits the original. The, you know, doing the live stream, that’s something that Ray always wanted, and I like the idea as well. And then we realized it was the perfect way to marry the two, is having this face-to-face dynamic live stream that mimics as much of a live event as possible where anybody can come in and view it, anybody can find it, and it gives creators, it gives them more visibility because you don’t have to necessarily just know the person to do it.

You can find it on Google, you can find it if you’re on the platform and you express interest in a certain topic. If a live stream is created on that topic, you’ll be notified about it and you can search and find it on there afterward. Very similar to what you’re doing. I read that you have something similar as well. So, I think from a creator standpoint, it’s going to be a tool that’s much easier, but it also took a lot more time to create. And if there was one thing I learned about tech is that things aren’t always as lightning fast to create as they seem.

Melinda Wittstock:

Oh, they’re not. I have that. I have this kind of, what they used to call it, this distortion field. I think that all kind of changing entrepreneurs have, like, we all think we can bend time or like, we have these superhuman powers, really, you know what I mean? And that’s actually all through my entrepreneurial career, I was just business five. I’ve had that always. But it’s the kind of craziness that compels you to do great things, but it’s also potentially hard on your engineering team, right? Yes, but it is definitely a distortion field, and nothing ever goes as fast as you want. So I know that one really well. I think one of the things that I really love about what you’re doing, though, is it comes down to making information actually valuable and actionable, like in the context of Podopolo we think about this.

So, say you learn something on a podcast like this one and you want to put it into action in your life and maybe there’s other people who are also listening who also want to do that. So what does that look like? I think it’s a really interesting thing. Like I can see what you’re doing could be really even valuable to what we’re doing. For instance, have you ever thought in your business model of kind of API-ing it? I guess for different enterprises and such as?

Lauren Raimondi:

Well, that is part of the plan. I know you had mentioned funding before. Right now, we are self-funded. My husband, I know I keep calling my husband co-founder Ray. He built the platform almost completely on his own, basically from start to finish. He works full time and knock on know all Aces is almost fully running itself at this point. I have the bandwidth, but from a tech standpoint we know that we’re definitely going to need funding soon and that is going to be part of our business model because to your point, we want information to be more accessible. And one of the things that was important to me was that the conversation be accessible after the fact.

So that after the stream is over, the Q&A is still there, you can still ask questions.

Melinda Wittstock:

That’s how Podopolo does is live stream. So, we have this whole live stream functionality that hasn’t debuted yet, but that’s exactly the same thing. That’s so funny. Are we twins? I mean, I don’t know.

Lauren Raimondi:

We should talk after this and see how we can work together maybe. Because it sounds like we’re definitely on the same page in terms of our vision.

Melinda Wittstock:

One thing I think where you’re very lucky, like I know so many female founders that are not really ensconced in that kind of bro tech culture. So it’s very difficult to find a technical co-founder. I mean, I was just at an event with a whole bunch of VCs, female VCs who are all talking about. This is one of the things that really holds a lot of women back in raising money is because they want women or any founder to have either be a technical founder or have a technical co-founder and have the tech in house. And that is a real barrier for a lot of female founders. I mean it really is. So, to have your husband just be able to kind of like co-founder build this whole thing is a huge advantage. Like it’s actually quite unusual.

Lauren Raimondi:

I agree completely. If he wasn’t not only so technical, but so interested and kind of share the same vision. I do wonder how I would have approached it and whether I would have approached it because I don’t have a tech background necessarily. I started my company almost 17 years ago, so I do have a lot of business background, but from the standpoint of finding somebody to develop a platform and such, that’s been completely new to me and this whole journey has been such a learning curve. So, I do give kudos to the women who are able to make it happen. And I saw on LinkedIn some stats about VC funding in 2023. I think it was something like 1.3% went to women. And that’s bad.

Melinda Wittstock:

It’s actually gotten worse because what happened in 2023, pretty much all of venture capital dried up. So, there’s like a whole landscape of failed startups who just didn’t get their funding, or they didn’t get their follow-on round, or they just didn’t make it, because when interest rates went up, the price of money went up, and then all these VCs were like holding back their money for follow on rounds for their existing portfolio companies. So, it’s a nightmare out there. And who got hit the most? So, like, women, because the share of venture funding has stayed pretty static for the last two decades at 2%, and it went down like a 1.3. Like, holy. Oh my God. And we’re in that position too. We have a committed know for Podopolo, but it’s taken a really long time for our venture, our VC, to actually receive its money so it can fund us.

And so, we’ve had to just stay alive, you know what I mean? Kind of progress as we’ve waited. It’s been really hard. I mean, there’s no question about it, because we really need that money. Right. Term sheet, it’s like, okay, come on. So, it’s a difficult landscape, and you can only kind of can hope that not only do interest rates come to the VCs, but I think they do look at female founders very differently, even if it’s unconscious. And it’s really hard. It’s hard to know how to navigate that, because even if we get funded, our check sizes aren’t as big.

Lauren Raimondi:

Yes, and that’s probably the next challenge going into 2024, is that I wanted to wait as long as humanly possible before having to do that. But our competitors are huge in just the tech space in general. Even if no one’s doing exactly what we’re doing, they have a lot of money.

Melinda Wittstock:

Yeah, exactly right.

Lauren Raimondi:

Like live stream exists elsewhere so somebody can listen to this podcast. TikTok could just decide, you know what, this sounds great. And with their billion dollars and build it, and then we’re kind of stuck at that point.

Melinda Wittstock:

That’s true. But the only thing that’s really okay in our favor is most of those companies get so big, they move really slowly, actually. Right. And there’s that. Or there’s just, they could build it themselves or they could buy it because you’ve already gone through the real pain and so they don’t have to.

Lauren Raimondi:

That is very true. Hopefully that’s more the mindset that is.

Melinda Wittstock:

So, I have to ask, what’s it like running a company with your husband? How do you deal with that, with the kind of boundaries and your relationship and balancing work life and personal life? Is that hard? How does that work?

Lauren Raimondi:

Yes, it is difficult at times. I kind of love it, though, I have to say, because with how much work goes into it, and I know from all aces how much work goes into starting and building a company from scratch, it’s nice that at least we have that time together versus that time apart, working on our own separate things. So, I’m actually very much looking forward to that. I know during the pandemic, when everyone was working remotely, I saw there were two camps of people. The ones who couldn’t wait to get back to the office because there was so much time together was just too much, and then others who just loved it. And I found it to be wonderful. And I think we both really inspire each other and feed off of each other as far as ideas go. So to me, it is a huge plus, and it kind of also kind of counts as our quality time, I guess, because we do have that time together, and the baby part is a whole other thing.

Lauren Raimondi:

But, yes.

Melinda Wittstock:

Well, the pandemic in and of itself was kind of a great relationship test. Like, either you were getting closer, or you were breaking up. That’s kind of the impact I think, it had on a lot of people. The boundaries are kind of interesting, though, too, because when you’re an entrepreneur, it’s like a macro going around in your brain. You’re constantly thinking about it, and so are you both able to kind of decompress and put the business to one side and just for romance, and also because you’re balancing kids and stuff as well. Right. I’m fascinated by this. How do you do that? Any good advice for anybody that’s in that similar situation?

Lauren Raimondi:

We are intentional about it, so it’s not always perfect. There are some weeks where it’s all work, and then there are other weeks where we know we’re going to focus a little bit more on us as needed. And as our son Amare is getting a little bit older, he’s almost three and a half, so I feel a little bit more comfortable leaving him with the babysitter now versus when he was a little bit younger. I’m starting to allow more of the personal life to happen. And we’ve had a little bit better of a balance this year than we did last year. So, it’s a learning curve, but you do have to be intentional about it or it’s very hard for it to just pass you by.

Melinda Wittstock:

It’s almost like, are we having a business conversation right now or are we having a personal conversation right now? So, like, having that consciousness and the word intention is a good one, but just somehow being present or just kind of knowing what’s going know is super important. So, Lauren, I want to make sure people know how to kind of find this tool and kind of play with it and give you feedback on it or whatever way.

Lauren Raimondi:

Sure. So right now, it is a web app. It’s also mobile friendly and mobile responsive. The mobile app, once we do have funding, the mobile app will be the next thing that we work on. But you go to poldit.com. That’s poldit.com right now. Anybody can view the information. And if you register, then that’s where you’re able to interact, ask and answer questions.

Chat within the next couple of weeks will allow other people to create live streams. That’s where the interaction is.

Melinda Wittstock:

That’s fantastic. In your roadmap. Do you have an API planned in your roadmap? And I’m going to ask this because maybe there’s a way that we can collaborate.

Lauren Raimondi:

Yeah, it is because we know that while the bulk of the interaction will happen here, for instance, the Q&A section will remain here. We do know that people have spent a lot of effort building up their audiences and other platforms, so we are realizing that it’s a big priority. So we have to see where in the roadmap it is. But it is definitely a priority.

Melinda Wittstock:

Wonderful. Well, I want to thank you for putting on your wings and completely geeking out with me.

Lauren Raimondi:

Thank you. And thank you so much for having. It was a lot of fun. It was a great conversation.

Melinda Wittstock

Lauren Raimondi is the co-founder of the AI-powered livestream Q&A platform Poldit.

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