> ## Content Index > Fetch the complete content index at: https://www.ceo.com/llms.txt > Use this file to discover other available public pages before exploring further. # Realworld CEO Genevieve Bellaire: How she built the ultimate adulting app - URL: https://www.ceo.com/episodes/realworld-founder-ceo-genevieve-bellaire/ - Published: 2025-04-29T10:00:21.000Z - Updated: 2026-08-28T00:50:38.000Z - Description: The Realworld founder on failed pivots, leaving the education market, and why the mission changed from simplify to automate. - Author: Clint Betts # Genevieve Bellaire wants to automate adulthood Genevieve Bellaire earned a bachelor's degree from Princeton, a JD/MBA from Georgetown, and worked at Goldman Sachs. Then she had to pick a health insurance plan. "I learned so many different things in school, but there was this massive knowledge gap around all the practical life stuff, whether it was figuring out insurance or finances," Bellaire told the CEO.com Podcast. "I'm the oldest kid in my family, so I didn't have an older brother or sister who could give me the playbook." She made the mistakes most people make in their twenties, then spent the next several years building what would have prevented them. Bellaire is the founder and CEO of [Realworld](https://www.realworld.co/?ref=ceo.com), an AI-driven platform for navigating adulthood: insurance, taxes, leases, retirement accounts, the paperwork no one teaches. The idea was easy to validate. "I tell them about this idea, and they say, 'Oh, I wish I had that when I was younger,'" she said. "Next person you talked to, 'Oh, I wish I had that when I was younger.'" Figuring out what to actually build took years. The first version was a course. Three and a half hours, 36 animated modules, licensed to about 100 schools: the class you should have taken before graduation but didn't. It roughly broke even without outside capital. It also had a structural flaw. "We weren't really building a direct relationship with our end user," Bellaire said. Schools took months to close and marketed the course to students who hadn't yet felt the problem. The real customer was a few years older. "The quarter-life crisis moment person where they're in the real world. They realize this is a problem. They've already made a couple mistakes across their finances or insurance or whatever it might be, and they're ready to invest in that time and themselves to get their lives together." So the company went direct-to-consumer. [TechCrunch covered](https://techcrunch.com/2021/04/08/realworld-seed-funding/?ref=ceo.com) the $3.4 million seed round in 2021, when the product was more than 90 step-by-step playbooks on budgeting, moving, and salary negotiation. A [$3.2 million round followed in 2022](https://www.entrepreneur.com/living/this-goldman-sachs-alum-is-simplifying-the-transition-to/430332?ref=ceo.com). Bellaire says the total raised is about $8 million. Between those versions came others. A Duolingo for adulthood. Modules. Conversational AI. "When you're building something that's truly new, you have to try and fail at a lot of different things to get to that product market fit moment," she said. Some failures arrived after months of building and a team organized around a vision that didn't take off. "It's disheartening for your team and also for you." She kept the lesson simple: "There's always another pathway going forward." Today [Realworld](https://www.realworld.co/?ref=ceo.com) is built around a personal vault. AI reads what users upload, from leases to credit reports to tax returns, pulls out what matters, sets reminders for doctor's appointments and passport renewals, and puts finances in one view. The [current app](https://play.google.com/store/apps/details?id=com.realworld.co.app&ref=ceo.com) organizes life across finance, health, work, home, car, travel, identification, and relationships, with Life Kits for major transitions. The company has mapped 15 of them, from buying a house to switching jobs to having a child. The original mission was to simplify adulthood. "It has now evolved to automate adulthood," Bellaire said, and agentic AI is why. "Let us file that claim for you. Let us book your doctor's appointment." Going direct to consumer changed how quickly she could learn. "If you have a product and it takes you three to six months to get in the hands of your user, your product might actually not be that good, but it takes you six months to get feedback," she said. "Versus the direct-to-consumer side, we can have 10,000 people sign up in a month. If half of them churn, we're like, 'Oh, okay, something's wrong.'" Bellaire started the company at 27 and spent her early years as a founder collecting advice. She weighs it differently now. "I've come now more to just trust my own gut and to trust data and to seek data over advice," she said. The person spending her whole life inside a problem has better information than the person giving it 30 minutes of thought. She wakes at 4:00 a.m. to read, plan, and meditate before the day starts. Her standing book recommendation is Endurance, Alfred Lansing's account of Shackleton's Antarctic expedition. Every conversation on the CEO.com Podcast ends with the same question: who gave you a chance? Bellaire named Jean Case, the entrepreneur and philanthropist whose family foundation backs entrepreneurs, particularly underrepresented ones. Before Realworld had built anything, Case offered her an entrepreneur-in-residence post at the foundation. A place to work, a community, a reason to think of herself as a founder rather than a lawyer who used to work at Goldman. Case became one of Realworld's first investors and remains a mentor. "It was that first step," Bellaire said, "that started to help me really create that identity in my mind of someone who was building something." ```chapters 00:00:00 Introduction And Guest Overview 00:01:09 Realizing The Knowledge Gap In Adulthood 00:02:22 Evolution Of Real World Platform 00:04:58 Initial Focus On Educational Courses 00:05:51 Challenges With B2B Model And Pivot 00:07:34 Personalization And Generative AI In Real World 00:08:58 Automating Adulthood With AI 00:11:11 Overcoming Significant Challenges And Pivots 00:13:06 Differences Between B2B And B2C Models 00:18:06 A Day In The Life Of A CEO 00:20:49 Fundraising And Venture Capital Strategy 00:22:04 Important Attributes Of Leadership 00:24:40 Lessons Learned And Trusting Your Gut 00:26:00 Current Market Outlook For 2025 00:28:37 Acknowledging Those Who Gave A Chance ``` ```vtt WEBVTT 00:00:06.908 --> 00:00:08.287 Welcome<00:00:07.116> to<00:00:07.229> the<00:00:07.261> CEO.com<00:00:08.046> Show. 00:00:08.367 --> 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idea<00:02:49.450> is<00:02:49.650> to<00:02:49.750> really<00:02:49.950> be<00:02:50.170> that<00:02:50.410> one-stop<00:02:51.130> shop<00:02:51.670> that's<00:02:52.350> kind<00:02:52.610> of<00:02:52.690> helping<00:02:52.930> you<00:02:53.090> as<00:02:53.230> a<00:02:53.390> companion<00:02:53.750> throughout<00:02:54.250> the<00:02:54.890> beginning<00:02:55.150> of<00:02:55.290> your<00:02:55.510> life,<00:02:55.770> so<00:02:55.910> to<00:02:56.090> speak,<00:02:56.210> as<00:02:56.410> an<00:02:56.490> adult,<00:02:56.810> but<00:02:57.010> also<00:02:57.230> through<00:02:57.510> each<00:02:57.710> life<00:02:58.070> stage. 00:02:58.370 --> 00:02:59.990 And<00:02:58.830> how's<00:02:59.050> it<00:02:59.250> going<00:02:59.390> so<00:02:59.670> far? 00:02:59.990 --> 00:03:05.210 Tell<00:02:59.991> us<00:03:00.170> like<00:03:00.330> what<00:03:00.550> the<00:03:00.710> response<00:03:01.250> has<00:03:01.630> been,<00:03:01.850> what<00:03:02.110> the<00:03:02.190> results,<00:03:02.590> and<00:03:02.650> at<00:03:02.830> what<00:03:02.990> point<00:03:03.110> did<00:03:03.210> you<00:03:03.330> realize,<00:03:03.670> hey,<00:03:03.710> we've<00:03:03.950> got<00:03:04.110> something<00:03:04.430> here,<00:03:04.630> we're,<00:03:05.010> we're<00:03:05.011> getting<00:03:05.150> some<00:03:05.170> real<00:03:05.190> traction? 00:03:05.210 --> 00:03:25.278 You<00:03:05.230> know,<00:03:05.250> it's<00:03:05.270> funny,<00:03:05.290> in<00:03:05.310> the<00:03:07.407> in<00:03:07.503> law<00:03:07.664> school,<00:03:07.969> one<00:03:08.081> of<00:03:08.145> the<00:03:08.290> things<00:03:08.531> that<00:03:08.932> you<00:03:09.093> learn<00:03:09.430> and<00:03:09.494> that<00:03:09.574> I<00:03:09.751> felt<00:03:09.912> like<00:03:10.136> I<00:03:10.297> took<00:03:10.538> out<00:03:10.618> of<00:03:10.714> the<00:03:10.779> experience<00:03:11.357> was<00:03:12.159> pattern<00:03:12.481> recognition,<00:03:13.267> because<00:03:13.524> you<00:03:13.685> learn<00:03:13.942> so<00:03:14.472> much<00:03:14.648> information,<00:03:15.307> you're<00:03:15.451> reading<00:03:15.676> all<00:03:15.852> these<00:03:15.997> different<00:03:16.254> cases,<00:03:16.720> and<00:03:16.800> the<00:03:16.832> whole<00:03:17.217> point<00:03:17.538> is<00:03:17.683> to<00:03:17.763> be<00:03:17.843> able<00:03:18.020> to<00:03:18.100> distill<00:03:19.289> a<00:03:19.305> lot<00:03:19.465> of<00:03:19.545> different<00:03:19.786> information<00:03:20.348> to<00:03:20.429> kind<00:03:20.605> of<00:03:20.750> tangible<00:03:22.420> nuggets<00:03:22.741> that<00:03:22.821> you<00:03:22.917> can<00:03:23.046> apply<00:03:23.335> to<00:03:23.463> other<00:03:23.640> things<00:03:23.945> and<00:03:24.025> sort<00:03:24.122> of<00:03:24.379> see<00:03:24.603> those<00:03:24.828> patterns<00:03:25.165> there. 00:03:25.888 --> 00:03:33.771 And<00:03:25.968> so<00:03:26.289> it<00:03:26.466> was<00:03:26.691> very<00:03:27.076> clear,<00:03:27.895> and<00:03:28.039> really<00:03:28.280> the<00:03:28.441> earliest<00:03:28.762> of<00:03:28.858> days<00:03:29.163> of<00:03:29.485> kind<00:03:29.597> of<00:03:29.661> talking<00:03:30.143> about<00:03:30.368> and<00:03:30.464> socializing<00:03:31.106> this<00:03:31.331> idea<00:03:31.684> with<00:03:31.813> people,<00:03:32.294> that<00:03:32.872> there<00:03:33.017> was<00:03:33.193> a<00:03:33.273> there,<00:03:33.514> there. 00:03:34.059 --> 00:03:53.375 And<00:03:34.557> it<00:03:34.637> was<00:03:34.878> really<00:03:35.198> this<00:03:35.423> idea<00:03:36.001> and<00:03:36.161> kind<00:03:36.386> of<00:03:36.482> this<00:03:36.787> one<00:03:36.963> phrase<00:03:37.509> that<00:03:37.605> kept<00:03:37.845> coming<00:03:38.166> up,<00:03:38.327> which<00:03:38.567> was,<00:03:39.386> I<00:03:39.450> tell<00:03:39.610> them<00:03:39.706> about<00:03:39.931> this<00:03:40.091> idea<00:03:40.348> and<00:03:40.476> they<00:03:40.509> say,<00:03:40.797> "Oh,<00:03:40.894> I<00:03:40.974> wish<00:03:41.279> I<00:03:41.359> had<00:03:41.519> that<00:03:41.599> when<00:03:41.696> I<00:03:41.760> was<00:03:41.920> younger."<00:03:42.702> I<00:03:42.722> was<00:03:42.851> like,<00:03:43.043> "Okay."<00:03:43.476> Next<00:03:43.765> person<00:03:43.990> you<00:03:44.022> talk<00:03:44.182> to,<00:03:44.327> "Oh,<00:03:44.439> I<00:03:44.503> wish<00:03:44.728> I<00:03:44.808> had<00:03:44.904> that<00:03:45.065> when<00:03:45.161> I<00:03:45.209> was<00:03:45.369> younger."<00:03:45.530> It's<00:03:45.771> like,<00:03:46.107> "Okay,<00:03:46.589> well,<00:03:47.134> let's<00:03:47.391> build<00:03:47.615> it<00:03:47.728> so<00:03:47.952> that<00:03:48.113> the<00:03:48.193> younger<00:03:48.514> selves<00:03:48.851> of<00:03:48.979> us<00:03:49.011> can<00:03:49.236> have<00:03:49.476> this<00:03:49.701> thing."<00:03:50.824> What<00:03:50.920> was<00:03:51.305> less<00:03:51.706> clear<00:03:52.123> was,<00:03:52.845> what<00:03:53.006> is<00:03:53.246> it? 00:03:54.065 --> 00:04:00.914 If<00:03:54.193> you're<00:03:54.434> truly<00:03:54.706> defining<00:03:55.476> a<00:03:55.492> new<00:03:55.653> category<00:03:56.134> and<00:03:56.279> you're<00:03:56.375> building<00:03:56.680> this<00:03:56.856> new<00:03:57.000> type<00:03:57.193> of<00:03:57.337> product<00:03:57.642> that<00:03:57.738> doesn't<00:03:57.979> exist,<00:03:59.038> Is<00:03:59.246> it<00:03:59.487> a<00:03:59.567> course,<00:04:00.225> which<00:04:00.369> we<00:04:00.465> tried? 00:04:01.347 --> 00:04:04.635 Is<00:04:01.524> it<00:04:01.732> a<00:04:02.069> Duolingo<00:04:02.726> for<00:04:02.951> adulthood,<00:04:03.592> which<00:04:03.737> we<00:04:03.897> also<00:04:04.218> tried? 00:04:04.859 --> 00:04:11.371 Is<00:04:06.255> it<00:04:06.463> a<00:04:07.666> series<00:04:08.019> of<00:04:08.163> different<00:04:09.029> modules<00:04:09.991> or<00:04:10.168> conversational<00:04:11.050> AI? 00:04:11.515 --> 00:04:12.621 All<00:04:11.611> of<00:04:11.691> these<00:04:11.852> things<00:04:12.076> which<00:04:12.172> we've<00:04:12.333> tried. 00:04:13.536 --> 00:04:24.537 And<00:04:13.696> so,<00:04:14.241> one<00:04:14.402> of<00:04:14.578> the<00:04:15.620> big<00:04:16.021> lessons<00:04:16.406> throughout<00:04:16.663> this<00:04:16.823> journey<00:04:17.449> is<00:04:17.769> when<00:04:17.850> you're<00:04:18.058> building<00:04:18.411> something<00:04:18.892> that's<00:04:19.149> truly<00:04:19.550> new,<00:04:20.496> you<00:04:20.528> have<00:04:20.672> to<00:04:20.817> try<00:04:21.137> and<00:04:21.234> fail<00:04:21.474> at<00:04:21.554> a<00:04:21.634> lot<00:04:21.811> of<00:04:21.875> different<00:04:22.180> things<00:04:22.420> to<00:04:22.757> get<00:04:22.933> to<00:04:23.078> that<00:04:23.383> product-market<00:04:23.960> fit<00:04:24.265> moment. 00:04:24.730 --> 00:04:51.170 And<00:04:25.230> so,<00:04:25.430> as<00:04:25.450> I<00:04:25.650> mentioned,<00:04:26.050> fast<00:04:26.250> 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product<00:08:27.973> is<00:08:28.101> really<00:08:28.341> more<00:08:28.518> of<00:08:28.598> that<00:08:29.303> generative<00:08:29.704> AI<00:08:29.945> component. 00:08:30.458 --> 00:08:40.671 So<00:08:30.762> being<00:08:30.987> able<00:08:31.227> to<00:08:31.307> have<00:08:32.205> kind<00:08:32.350> of<00:08:32.446> like<00:08:32.831> ask<00:08:33.151> Real<00:08:33.328> World<00:08:33.648> as<00:08:33.744> opposed<00:08:34.065> to<00:08:34.274> ask<00:08:34.530> your<00:08:34.674> mom<00:08:34.947> or<00:08:35.091> your<00:08:35.236> dad<00:08:35.508> or<00:08:35.957> Google<00:08:36.198> or<00:08:36.294> someone<00:08:36.679> else<00:08:36.919> and<00:08:36.999> get<00:08:37.159> like<00:08:37.480> very<00:08:37.817> contextualized<00:08:38.923> answers<00:08:39.372> to<00:08:39.436> some<00:08:39.645> of<00:08:39.677> these<00:08:39.885> life<00:08:40.126> questions. 00:08:41.184 --> 00:08:44.166 And<00:08:41.264> that<00:08:41.424> could<00:08:41.520> be<00:08:41.665> understanding<00:08:42.531> this<00:08:42.691> health<00:08:42.867> insurance<00:08:43.252> plan<00:08:43.428> versus<00:08:43.829> this<00:08:44.054> one. 00:08:44.214 --> 00:08:49.745 It<00:08:44.294> could<00:08:44.390> be<00:08:44.615> helping<00:08:44.855> you<00:08:44.952> figure<00:08:45.336> out,<00:08:45.433> should<00:08:45.577> I<00:08:45.673> rent<00:08:45.994> versus<00:08:46.379> buy,<00:08:47.581> lease<00:08:47.773> a<00:08:47.902> car<00:08:48.142> versus<00:08:48.479> buy<00:08:48.575> a<00:08:48.719> car,<00:08:49.104> things<00:08:49.280> like<00:08:49.521> that. 00:08:49.826 --> 00:08:54.539 But<00:08:49.938> again,<00:08:50.323> based<00:08:50.643> upon<00:08:50.884> your<00:08:51.124> unique<00:08:51.445> circumstances,<00:08:52.744> that's<00:08:53.449> something<00:08:54.235> we're<00:08:54.299> actively<00:08:54.411> building<00:08:54.507> now. 00:08:55.198 --> 00:09:07.545 And<00:08:55.278> then,<00:08:55.374> of<00:08:55.454> course,<00:08:55.759> you<00:08:55.792> know,<00:08:55.872> the<00:08:56.016> thing,<00:08:56.338> frankly,<00:08:56.562> I'm<00:08:56.739> most<00:08:57.044> excited<00:08:57.397> for<00:08:57.686> is<00:08:57.847> all<00:08:58.007> the<00:08:58.104> agentic<00:08:58.746> workflows<00:08:59.244> and<00:08:59.372> agentic<00:08:59.854> AI<00:09:00.014> that's<00:09:00.271> coming<00:09:00.512> down<00:09:00.673> the<00:09:00.817> pipeline,<00:09:01.475> where<00:09:02.342> one<00:09:02.455> of<00:09:02.519> our<00:09:02.760> missions—<00:09:03.306> our<00:09:03.418> mission<00:09:03.723> initially,<00:09:04.028> I<00:09:04.125> should<00:09:04.301> say,<00:09:04.510> was<00:09:04.606> simplify<00:09:05.168> adulthood,<00:09:05.746> help<00:09:06.035> people<00:09:06.292> navigate<00:09:06.758> all<00:09:06.854> these<00:09:07.015> different<00:09:07.320> things. 00:09:08.074 --> 00:09:12.201 It<00:09:08.107> has<00:09:08.219> now<00:09:08.444> evolved<00:09:08.797> to<00:09:09.407> automate<00:09:09.809> adulthood,<00:09:10.467> which<00:09:10.884> is<00:09:11.013> much<00:09:11.173> more<00:09:11.286> exciting,<00:09:11.751> frankly. 00:09:12.378 --> 00:09:25.999 And<00:09:12.458> the<00:09:12.554> idea<00:09:12.956> there<00:09:13.180> is<00:09:13.357> to<00:09:13.518> do<00:09:14.240> everything<00:09:14.561> we've<00:09:14.706> done<00:09:14.866> in<00:09:14.898> the<00:09:15.027> past,<00:09:15.508> teach<00:09:15.749> you<00:09:15.830> what<00:09:15.926> you<00:09:16.022> need<00:09:16.247> to<00:09:16.343> know,<00:09:17.275> and<00:09:17.676> sort<00:09:17.772> of<00:09:17.997> help<00:09:18.158> you<00:09:18.238> get<00:09:18.415> organized<00:09:18.912> across<00:09:19.362> these<00:09:19.603> things,<00:09:19.940> but<00:09:20.100> then<00:09:20.726> just<00:09:20.886> start<00:09:21.047> taking<00:09:21.319> stuff<00:09:21.608> off<00:09:21.704> your<00:09:21.864> plate,<00:09:22.329> like<00:09:22.569> let<00:09:22.890> us<00:09:23.467> file<00:09:23.771> that<00:09:23.947> claim<00:09:24.188> for<00:09:24.348> you,<00:09:24.508> let<00:09:24.669> us<00:09:24.893> book<00:09:25.053> your<00:09:25.150> doctor's<00:09:25.550> appointment. 00:09:26.592 --> 00:09:31.192 And<00:09:26.688> so<00:09:26.816> I<00:09:26.912> think<00:09:27.313> what's<00:09:27.489> exciting<00:09:27.938> about<00:09:28.291> the<00:09:28.371> next<00:09:28.740> phase<00:09:28.996> of<00:09:29.140> all<00:09:29.220> this<00:09:29.333> technology<00:09:29.861> is<00:09:29.958> that's<00:09:30.214> not<00:09:30.358> that<00:09:30.615> far<00:09:30.919> away. 00:09:31.304 --> 00:09:33.019 And<00:09:31.464> in<00:09:31.544> some<00:09:31.961> cases,<00:09:32.282> it's<00:09:32.442> already<00:09:32.698> here. 00:09:33.564 --> 00:09:39.718 So<00:09:33.948> we<00:09:34.109> want<00:09:34.189> to<00:09:34.285> be<00:09:34.445> the<00:09:34.525> place<00:09:35.006> where<00:09:35.807> you<00:09:35.952> have<00:09:36.208> that<00:09:36.304> sort<00:09:36.449> of<00:09:36.545> centralized<00:09:37.314> life<00:09:37.811> dashboard<00:09:38.372> or<00:09:38.532> copilot,<00:09:39.109> so<00:09:39.205> to<00:09:39.269> speak. 00:09:40.199 --> 00:09:44.911 But<00:09:40.279> then,<00:09:40.535> and<00:09:40.599> it's<00:09:40.776> very<00:09:41.000> much<00:09:41.176> grounded<00:09:41.497> in<00:09:41.577> human,<00:09:42.042> you<00:09:42.074> know,<00:09:42.154> there's<00:09:42.395> a<00:09:42.619> person<00:09:42.859> on<00:09:42.939> the<00:09:43.084> other<00:09:43.180> side<00:09:43.725> that<00:09:43.805> you<00:09:43.901> can<00:09:44.045> talk<00:09:44.302> to. 00:09:45.584 --> 00:09:53.605 We,<00:09:45.888> I<00:09:45.904> can<00:09:46.145> speak<00:09:46.321> a<00:09:46.337> little<00:09:46.545> bit<00:09:46.626> about<00:09:46.882> that,<00:09:47.026> but<00:09:47.106> we<00:09:47.267> offer<00:09:47.651> one-on-one<00:09:48.292> onboarding<00:09:48.789> and<00:09:48.869> things<00:09:49.110> like<00:09:49.270> that<00:09:49.494> with<00:09:49.607> our<00:09:50.473> members,<00:09:51.180> but<00:09:51.372> then<00:09:51.501> a<00:09:51.517> lot<00:09:51.693> of<00:09:51.774> it's<00:09:51.902> just<00:09:52.079> powered<00:09:52.545> by<00:09:53.027> technology. 00:09:53.781 --> 00:09:58.744 So<00:09:53.862> you<00:09:53.926> don't<00:09:54.006> have<00:09:54.167> to<00:09:54.247> sort<00:09:54.472> of<00:09:54.729> take<00:09:54.970> that,<00:09:55.355> get<00:09:55.452> that<00:09:55.612> stuff<00:09:55.918> off<00:09:56.094> of<00:09:56.174> your<00:09:56.319> mental<00:09:56.560> load<00:09:56.721> and<00:09:56.881> off<00:09:57.202> of<00:09:57.443> your<00:09:57.540> plate. 00:09:58.825 --> 00:09:59.579 So<00:09:58.905> we're<00:09:59.049> really<00:09:59.162> excited. 00:09:59.708 --> 00:10:03.402 There's<00:09:59.852> just<00:10:00.190> so<00:10:00.350> much<00:10:00.736> every<00:10:00.912> day<00:10:01.153> coming<00:10:01.475> out<00:10:01.699> that's<00:10:02.358> propelling<00:10:02.743> this<00:10:02.984> all<00:10:03.016> forward. 00:10:03.707 --> 00:10:04.382 Yeah,<00:10:03.884> it's<00:10:04.109> wild. 00:10:04.446 --> 00:10:14.612 Does,<00:10:04.847> does<00:10:05.024> it<00:10:05.169> ever<00:10:05.393> kind<00:10:05.570> of<00:10:05.634> freak<00:10:05.956> you<00:10:06.116> out<00:10:06.389> or<00:10:06.534> get<00:10:06.694> overwhelming<00:10:07.738> or<00:10:08.044> kind<00:10:08.284> of<00:10:08.365> get<00:10:08.461> a<00:10:08.477> little<00:10:08.702> scary<00:10:09.328> given<00:10:09.730> like<00:10:10.228> every<00:10:10.453> single<00:10:10.790> day<00:10:10.886> it<00:10:11.015> seems<00:10:11.256> like<00:10:11.432> there's<00:10:11.657> just<00:10:11.978> major<00:10:12.492> advancements<00:10:13.263> that<00:10:13.360> are<00:10:13.440> changing<00:10:14.227> everything? 00:10:14.661 --> 00:10:16.379 So<00:10:14.869> who<00:10:14.966> knows<00:10:15.207> what<00:10:15.287> it's<00:10:15.448> going<00:10:15.560> to<00:10:15.608> look<00:10:15.769> like<00:10:15.929> tomorrow? 00:10:16.797 --> 00:10:23.553 Is<00:10:17.053> it<00:10:17.117> always<00:10:17.599> like<00:10:17.759> super<00:10:18.080> exciting,<00:10:18.482> great<00:10:18.658> time<00:10:18.883> to<00:10:18.979> build,<00:10:19.445> or<00:10:19.605> is<00:10:19.701> there<00:10:19.862> part<00:10:20.103> of<00:10:20.247> you<00:10:20.407> where<00:10:20.584> like,<00:10:20.809> this<00:10:21.049> is<00:10:21.772> freaking<00:10:22.430> weird,<00:10:22.751> this<00:10:22.991> is<00:10:23.152> wild? 00:10:24.997 --> 00:10:29.764 To<00:10:25.078> be<00:10:25.158> honest,<00:10:25.704> I<00:10:25.800> follow<00:10:26.105> a<00:10:26.185> lot<00:10:26.362> of<00:10:26.442> the<00:10:26.522> newsletters<00:10:27.308> and<00:10:27.389> sometimes<00:10:27.822> it's<00:10:28.031> just<00:10:28.287> like<00:10:28.560> drinking<00:10:29.074> from<00:10:29.186> a<00:10:29.250> fire<00:10:29.571> hose. 00:10:29.812 --> 00:10:31.754 There's<00:10:29.956> just<00:10:30.133> too<00:10:30.358> much<00:10:30.695> to<00:10:30.791> be<00:10:30.871> able<00:10:31.096> to<00:10:31.240> absorb. 00:10:31.962 --> 00:10:36.392 So,<00:10:32.364> sometimes<00:10:32.765> I<00:10:32.797> actually<00:10:33.006> use<00:10:33.246> AI<00:10:33.503> to<00:10:33.744> parse<00:10:34.530> it<00:10:34.611> down<00:10:34.948> and<00:10:35.028> then<00:10:35.188> kind<00:10:35.365> of<00:10:35.493> get<00:10:35.670> the<00:10:35.750> highlights<00:10:36.296> there. 00:10:36.488 --> 00:10:39.120 So,<00:10:36.697> it's<00:10:36.857> almost<00:10:37.034> like<00:10:37.259> using<00:10:37.579> AI<00:10:37.836> for<00:10:38.061> AI. 00:10:39.425 --> 00:10:45.091 But<00:10:39.666> I<00:10:39.682> would<00:10:39.842> say,<00:10:40.468> yeah,<00:10:40.548> I<00:10:40.661> mean,<00:10:40.869> of<00:10:41.046> course,<00:10:41.768> there's<00:10:42.009> always<00:10:42.250> going<00:10:42.346> to<00:10:42.490> be<00:10:43.373> false<00:10:43.839> starts<00:10:44.337> with<00:10:44.417> some<00:10:44.577> of<00:10:44.658> these<00:10:44.883> things. 00:10:45.139 --> 00:10:55.142 You're<00:10:45.204> always<00:10:45.412> going<00:10:45.493> to<00:10:45.557> learn<00:10:45.766> about<00:10:45.958> some<00:10:46.119> technology<00:10:46.665> or<00:10:46.745> hear<00:10:46.906> about<00:10:47.162> some<00:10:48.094> company<00:10:48.495> building<00:10:48.832> something<00:10:49.314> that<00:10:49.796> in<00:10:49.876> theory<00:10:50.197> is<00:10:50.374> amazing,<00:10:50.903> but<00:10:51.000> maybe<00:10:51.305> it's<00:10:51.481> really<00:10:52.027> 5<00:10:52.204> or<00:10:52.284> 6<00:10:52.509> years<00:10:52.750> away<00:10:52.991> as<00:10:53.087> opposed<00:10:53.793> to<00:10:53.890> down<00:10:54.114> the<00:10:54.757> line. 00:10:56.362 --> 00:11:01.002 But<00:10:56.443> I<00:10:56.539> think<00:10:56.844> on<00:10:56.940> the<00:10:56.988> whole,<00:10:57.904> it's<00:10:58.128> more<00:10:58.466> inspiring<00:10:59.027> than<00:10:59.188> it<00:10:59.284> is<00:10:59.429> intimidating<00:11:00.167> at<00:11:00.232> this<00:11:00.392> point. 00:11:01.259 --> 00:11:01.452 Yeah. 00:11:01.580 --> 00:11:02.720 Yeah,<00:11:01.773> that's<00:11:01.998> my<00:11:02.094> sense<00:11:02.399> of<00:11:02.479> it<00:11:02.560> too. 00:11:02.881 --> 00:11:04.647 It's<00:11:03.266> just<00:11:03.780> so<00:11:04.149> wild<00:11:04.486> though. 00:11:04.727 --> 00:11:07.826 Like,<00:11:05.048> it's<00:11:05.514> hard<00:11:05.691> to<00:11:05.755> even<00:11:05.931> keep<00:11:06.172> up<00:11:06.349> sometimes,<00:11:06.814> which<00:11:07.136> is<00:11:07.441> crazy. 00:11:09.623 --> 00:11:11.851 What<00:11:09.767> was<00:11:09.944> like<00:11:10.104> a<00:11:10.248> challenge<00:11:10.969> like<00:11:11.306> to<00:11:11.450> begin<00:11:11.723> with? 00:11:11.931 --> 00:11:13.743 Like<00:11:12.108> you've<00:11:12.268> pivoted<00:11:12.669> a<00:11:12.749> number<00:11:13.053> of<00:11:13.134> times<00:11:13.534> here. 00:11:14.352 --> 00:11:23.762 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Can<00:11:27.080> you<00:11:27.256> think<00:11:27.481> back<00:11:27.657> of<00:11:27.817> any<00:11:28.042> like<00:11:28.202> specific<00:11:28.683> challenge? 00:11:29.484 --> 00:11:29.773 Yes. 00:11:30.045 --> 00:11:33.668 I<00:11:30.398> mean,<00:11:30.622> there's<00:11:31.408> been<00:11:31.504> challenges<00:11:32.065> like<00:11:32.290> every<00:11:32.546> day,<00:11:33.027> to<00:11:33.187> be<00:11:33.412> honest. 00:11:33.732 --> 00:11:38.253 It's<00:11:34.133> one<00:11:34.213> of<00:11:34.309> those<00:11:34.373> things<00:11:34.614> as<00:11:34.710> founders,<00:11:35.816> you<00:11:35.912> just<00:11:36.297> always<00:11:36.618> are<00:11:36.714> dealing<00:11:37.034> with<00:11:37.291> something<00:11:37.740> or<00:11:37.836> another. 00:11:38.461 --> 00:12:05.897 But<00:11:38.942> I<00:11:38.958> think<00:11:39.118> some<00:11:39.343> of<00:11:39.423> the<00:11:39.519> big<00:11:39.760> things<00:11:40.064> for<00:11:40.224> us<00:11:40.545> were<00:11:41.907> really<00:11:42.084> thinking<00:11:42.484> that<00:11:42.644> some<00:11:42.805> of<00:11:42.885> these<00:11:43.045> product<00:11:43.382> iterations<00:11:44.151> or<00:11:44.231> even<00:11:44.487> go-to-market<00:11:45.032> iterations,<00:11:45.769> meaning<00:11:46.571> working<00:11:46.875> with<00:11:46.955> schools<00:11:47.468> versus<00:11:47.772> going<00:11:47.949> direct-to-consumer,<00:11:49.038> thinking<00:11:49.295> it<00:11:49.375> was<00:11:49.679> the<00:11:49.856> thing<00:11:50.160> and<00:11:50.256> putting<00:11:50.593> all<00:11:51.122> of<00:11:51.362> our<00:11:51.538> time<00:11:51.779> and<00:11:51.859> energy<00:11:52.179> in<00:11:52.340> building<00:11:52.804> out<00:11:54.006> everything<00:11:54.343> from<00:11:54.904> marketing<00:11:55.368> plans<00:11:55.929> to<00:11:56.650> resourcing<00:11:57.131> the<00:11:57.291> team<00:11:57.628> to<00:11:57.724> support<00:11:58.173> that<00:11:58.269> vision,<00:11:59.455> to<00:12:00.112> 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all<00:12:15.265> of<00:12:15.345> that<00:12:15.570> sort<00:12:15.826> of<00:12:15.907> thing. 00:12:16.693 --> 00:12:22.628 And<00:12:16.933> there<00:12:16.981> were<00:12:17.078> a<00:12:17.110> couple<00:12:17.350> of<00:12:17.495> those<00:12:17.735> moments<00:12:18.136> where<00:12:18.297> we<00:12:18.393> really<00:12:18.634> felt<00:12:18.874> like<00:12:19.035> we<00:12:19.195> had<00:12:19.580> kind<00:12:19.757> of<00:12:19.853> the<00:12:19.933> next<00:12:20.655> piece<00:12:21.104> right<00:12:21.906> and<00:12:22.243> we<00:12:22.323> didn't. 00:12:22.789 --> 00:12:28.965 And<00:12:22.965> it<00:12:23.109> took<00:12:23.286> a<00:12:23.366> lot<00:12:23.542> of<00:12:23.671> time<00:12:24.008> and<00:12:24.152> energy<00:12:24.569> and<00:12:24.714> kind<00:12:24.826> of<00:12:24.970> backpedaling<00:12:25.692> to<00:12:25.853> then<00:12:26.398> realign<00:12:26.959> how<00:12:27.072> we<00:12:27.216> thought<00:12:27.441> about<00:12:27.601> our<00:12:27.713> 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your<00:13:38.791> product. 00:13:39.737 --> 00:13:42.046 You<00:13:39.817> also<00:13:39.994> need<00:13:40.138> to<00:13:40.298> build<00:13:40.491> a<00:13:40.699> different<00:13:41.180> product<00:13:41.533> and<00:13:41.661> solution. 00:13:42.142 --> 00:13:47.656 You<00:13:42.174> need<00:13:42.382> something<00:13:42.719> likely<00:13:43.056> that<00:13:43.200> has<00:13:43.617> a<00:13:43.745> dashboard<00:13:44.242> for<00:13:44.402> them<00:13:44.563> to<00:13:44.723> be<00:13:44.819> able<00:13:45.027> to<00:13:45.428> monitor<00:13:45.925> data<00:13:46.166> tracking,<00:13:46.727> all<00:13:46.807> of<00:13:46.951> that<00:13:47.144> sort<00:13:47.352> of<00:13:47.448> a<00:13:47.528> thing. 00:13:48.570 --> 00:13:58.555 And<00:13:48.715> those<00:13:48.907> sales<00:13:49.212> cycles<00:13:49.612> can<00:13:49.692> take<00:13:49.933> a<00:13:50.013> very<00:13:50.334> long<00:13:50.574> time,<00:13:50.895> which<00:13:51.199> I<00:13:51.296> think<00:13:51.520> 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are<00:27:30.027> probably<00:27:30.364> going<00:27:30.460> to<00:27:30.541> make<00:27:30.846> it<00:27:31.087> and<00:27:31.167> they're<00:27:31.280> going<00:27:31.392> to<00:27:31.424> be<00:27:31.504> able<00:27:31.585> to<00:27:31.665> make<00:27:31.986> it<00:27:32.115> because<00:27:32.516> they've<00:27:32.677> gotten<00:27:33.094> leaner,<00:27:33.512> they've<00:27:33.656> gotten<00:27:33.881> more<00:27:34.058> focused,<00:27:34.700> they've<00:27:34.861> figured<00:27:35.327> out<00:27:36.049> how<00:27:36.081> to<00:27:36.226> do<00:27:36.322> more<00:27:36.611> with<00:27:36.788> less. 00:27:37.190 --> 00:27:48.731 And<00:27:37.350> now<00:27:37.575> with<00:27:37.671> the<00:27:37.816> advent<00:27:38.137> again<00:27:38.410> of<00:27:38.555> all<00:27:38.651> this<00:27:38.876> new<00:27:38.956> technology,<00:27:40.241> you'll<00:27:40.386> be<00:27:40.466> able<00:27:40.562> to<00:27:40.787> automate<00:27:41.044> a<00:27:41.060> lot<00:27:41.221> of<00:27:41.269> these<00:27:41.445> processes,<00:27:42.329> automate<00:27:42.634> a<00:27:42.650> lot<00:27:42.875> of<00:27:42.955> the<00:27:43.035> things<00:27:43.453> that<00:27:44.417> maybe<00:27:44.641> took<00:27:44.882> more<00:27:45.043> time<00:27:45.460> or,<00:27:45.525> you<00:27:46.246> cause<00:27:46.519> uncertainty<00:27:47.128> or<00:27:47.160> whatever<00:27:47.401> it<00:27:47.545> might<00:27:47.641> have<00:27:47.785> been<00:27:47.946> with<00:27:48.106> your<00:27:48.250> business. 00:27:49.244 --> 00:27:55.031 And<00:27:49.308> so,<00:27:49.372> I'm<00:27:49.549> feeling<00:27:49.789> very<00:27:50.030> optimistic<00:27:50.607> about<00:27:51.376> what<00:27:52.017> the<00:27:52.113> world,<00:27:52.675> what<00:27:52.899> the<00:27:53.236> tech<00:27:53.476> world<00:27:53.700> at<00:27:53.781> least<00:27:54.181> looks<00:27:54.422> like<00:27:54.678> right<00:27:54.919> now. 00:27:55.865 --> 00:28:08.625 I<00:27:56.185> also<00:27:56.458> think<00:27:56.602> that<00:27:56.762> consumer<00:27:57.323> sentiment<00:27:57.740> is<00:27:57.868> changing<00:27:58.349> too<00:27:58.590> in<00:27:58.670> a<00:27:58.926> positive<00:27:59.391> way,<00:28:00.129> particularly<00:28:00.513> around<00:28:00.930> things<00:28:01.331> like<00:28:02.212> the<00:28:02.293> way<00:28:02.838> that<00:28:03.335> we<00:28:03.431> approach<00:28:03.799> the<00:28:03.896> world<00:28:04.136> as<00:28:04.280> kind<00:28:04.441> of<00:28:04.681> having<00:28:04.938> control<00:28:05.322> over<00:28:05.563> your<00:28:05.659> own<00:28:05.819> life,<00:28:06.204> having<00:28:06.525> a<00:28:06.621> clear<00:28:06.957> sense<00:28:07.342> as<00:28:07.502> to<00:28:07.647> how<00:28:07.711> all<00:28:07.967> these<00:28:08.128> things<00:28:08.384> work. 00:28:09.250 --> 00:28:19.973 It<00:28:09.763> seems<00:28:10.131> like<00:28:10.308> people<00:28:10.548> are<00:28:11.574> moving<00:28:11.782> a<00:28:11.815> little<00:28:11.975> bit<00:28:12.055> away<00:28:12.392> from<00:28:12.696> the<00:28:12.792> kind<00:28:12.953> of<00:28:13.033> like<00:28:13.177> constant<00:28:13.514> commercialism<00:28:14.299> and<00:28:14.379> focused<00:28:14.860> on<00:28:15.341> consuming<00:28:15.838> things<00:28:16.159> and<00:28:16.303> actually<00:28:16.816> slightly<00:28:17.056> more<00:28:17.265> internally<00:28:17.650> focused<00:28:18.146> of<00:28:18.226> like,<00:28:18.884> how<00:28:19.044> do<00:28:19.124> I<00:28:19.188> get<00:28:19.300> my<00:28:19.509> life<00:28:19.685> together? 00:28:20.021 --> 00:28:21.704 How<00:28:20.102> do<00:28:20.182> I<00:28:20.262> focus<00:28:20.647> on<00:28:20.807> my<00:28:20.967> career<00:28:21.191> ambitions? 00:28:21.784 --> 00:28:24.781 How<00:28:21.865> do<00:28:21.945> I<00:28:22.089> focus<00:28:22.474> on<00:28:23.547> some<00:28:23.708> of<00:28:23.788> those<00:28:24.012> things<00:28:24.317> closer<00:28:24.589> to<00:28:24.653> home? 00:28:24.829 --> 00:28:27.057 So<00:28:26.096> I'm<00:28:26.480> optimistic. 00:28:27.201 --> 00:28:33.949 Finally,<00:28:27.538> we<00:28:27.762> end<00:28:27.923> every<00:28:28.035> interview<00:28:28.484> with<00:28:28.596> the<00:28:28.676> same<00:28:28.964> question,<00:28:29.541> and<00:28:29.621> that<00:28:29.798> is<00:28:29.942> at<00:28:30.006> CEO.com,<00:28:30.663> we<00:28:30.823> believe<00:28:31.048> the<00:28:31.128> chances<00:28:31.529> one<00:28:31.785> gives<00:28:32.266> is<00:28:32.346> just<00:28:32.554> as<00:28:32.651> important<00:28:32.907> as<00:28:32.987> the<00:28:33.067> chances<00:28:33.452> one<00:28:33.548> takes. 00:28:34.510 --> 00:28:37.234 When<00:28:34.734> you<00:28:34.894> hear<00:28:35.055> that,<00:28:35.231> who<00:28:35.391> gave<00:28:35.567> you<00:28:35.696> a<00:28:35.776> chance<00:28:36.016> to<00:28:36.112> get<00:28:36.273> you<00:28:36.369> to<00:28:36.497> where<00:28:36.657> you<00:28:36.817> are<00:28:36.914> today? 00:28:37.394 --> 00:28:44.526 First<00:28:37.555> person<00:28:37.779> who<00:28:37.875> comes<00:28:38.116> to<00:28:38.196> mind<00:28:38.612> is<00:28:38.693> a<00:28:38.757> woman<00:28:38.997> named<00:28:39.221> Jean<00:28:39.462> Case,<00:28:40.504> who<00:28:40.744> is<00:28:41.642> just<00:28:41.802> an<00:28:41.866> incredible<00:28:42.267> entrepreneur,<00:28:42.763> incredible<00:28:43.244> business<00:28:43.645> leader<00:28:43.821> in<00:28:43.885> and<00:28:44.030> of<00:28:44.126> herself. 00:28:44.671 --> 00:28:58.764 She,<00:28:45.087> she<00:28:45.248> runs<00:28:45.472> the<00:28:45.552> National<00:28:45.889> Geographic<00:28:46.770> as<00:28:46.850> well<00:28:47.075> as<00:28:47.251> many<00:28:47.491> other<00:28:47.652> institutions,<00:28:48.999> and<00:28:49.880> also<00:28:50.458> runs<00:28:51.003> a<00:28:51.356> family<00:28:51.676> foundation<00:28:52.366> that<00:28:53.039> does<00:28:53.264> a<00:28:53.328> lot<00:28:53.440> of<00:28:53.569> work<00:28:53.745> around<00:28:54.466> impact,<00:28:55.172> particularly<00:28:56.294> entrepreneurs<00:28:56.952> and<00:28:57.674> underrepresented<00:28:58.299> entrepreneurs. 00:28:59.181 --> 00:29:20.925 And<00:28:59.357> when<00:28:59.502> I<00:28:59.598> told<00:28:59.822> her<00:29:00.399> what<00:29:00.544> I<00:29:00.624> was<00:29:00.784> thinking<00:29:01.041> about<00:29:01.281> building,<00:29:01.746> before<00:29:02.003> we'd<00:29:02.163> even<00:29:02.388> built<00:29:02.564> the<00:29:02.709> course,<00:29:03.077> before<00:29:03.286> we<00:29:03.366> had<00:29:03.446> done<00:29:03.671> anything,<00:29:04.633> she<00:29:05.130> offered<00:29:05.386> me<00:29:05.531> the<00:29:05.675> opportunity<00:29:06.236> to<00:29:06.397> be<00:29:06.573> an<00:29:06.717> entrepreneur-in-residence<00:29:07.760> out<00:29:07.792> of<00:29:07.920> their<00:29:08.016> foundation<00:29:08.834> so<00:29:08.994> that<00:29:09.139> I<00:29:09.203> could<00:29:09.363> have<00:29:09.940> a<00:29:10.021> place<00:29:10.261> to<00:29:10.421> work,<00:29:10.742> a<00:29:10.822> place<00:29:11.207> to<00:29:11.528> kind<00:29:12.089> of<00:29:12.169> experiment<00:29:12.730> with<00:29:12.891> this<00:29:13.131> idea,<00:29:13.853> you<00:29:13.885> know,<00:29:14.174> have<00:29:14.414> a<00:29:14.510> community<00:29:14.991> to<00:29:15.056> be<00:29:15.152> part<00:29:15.456> of<00:29:15.793> and<00:29:15.873> just<00:29:16.098> generally<00:29:16.451> speaking,<00:29:17.301> kind<00:29:17.413> of<00:29:17.493> start<00:29:17.798> to<00:29:17.894> feel<00:29:18.118> like<00:29:18.375> an<00:29:18.503> entrepreneur<00:29:19.080> as<00:29:19.241> opposed<00:29:19.642> to<00:29:20.604> a<00:29:20.684> lawyer. 00:29:21.085 --> 00:29:23.234 And<00:29:21.470> then,<00:29:21.710> you<00:29:21.807> know,<00:29:21.967> someone<00:29:22.175> who<00:29:22.272> worked<00:29:22.464> at<00:29:22.528> Goldman<00:29:22.849> Sachs. 00:29:23.635 --> 00:29:34.202 And<00:29:23.891> it<00:29:23.971> was<00:29:24.196> that<00:29:24.693> first<00:29:25.158> step,<00:29:25.415> I<00:29:25.495> think,<00:29:25.719> that<00:29:25.799> started<00:29:26.056> to<00:29:26.152> help<00:29:26.377> me<00:29:26.521> really<00:29:26.762> create<00:29:27.259> that<00:29:27.403> identity<00:29:27.820> of<00:29:27.900> my<00:29:28.060> mind,<00:29:28.461> in<00:29:28.542> my<00:29:28.702> mind<00:29:29.087> of<00:29:29.167> someone<00:29:29.584> who<00:29:29.664> was<00:29:29.905> building<00:29:30.225> something<00:29:30.706> and,<00:29:31.813> you<00:29:31.845> know,<00:29:31.925> focused<00:29:32.310> on<00:29:32.406> innovation<00:29:32.935> and<00:29:33.128> sort<00:29:33.368> of<00:29:33.416> in<00:29:33.513> that<00:29:33.753> world. 00:29:34.940 --> 00:29:39.526 And<00:29:35.036> she<00:29:35.261> ended<00:29:35.501> up<00:29:35.677> being<00:29:35.902> one<00:29:36.014> of<00:29:36.062> our<00:29:36.175> first<00:29:36.479> investors<00:29:36.960> as<00:29:37.121> well<00:29:37.361> and<00:29:37.522> is<00:29:37.554> still<00:29:37.906> a<00:29:38.163> very<00:29:38.259> strong<00:29:38.644> mentor<00:29:38.965> of<00:29:39.109> mine<00:29:39.286> today. 00:29:39.622 --> 00:29:44.035 So<00:29:40.488> I<00:29:40.649> thank<00:29:40.873> her<00:29:41.049> for<00:29:41.210> kind<00:29:41.370> of<00:29:41.450> that<00:29:41.755> first<00:29:42.170> step,<00:29:42.543> so<00:29:42.753> to<00:29:42.786> speak,<00:29:43.402> in<00:29:43.645> the<00:29:43.743> journey. 00:29:44.294 --> 00:29:44.781 That's<00:29:44.456> incredible. 00:29:44.878 --> 00:29:46.808 Genevieve,<00:29:45.283> thank<00:29:45.510> you<00:29:45.543> so<00:29:45.705> much<00:29:45.932> for<00:29:46.078> coming<00:29:46.321> on<00:29:46.402> the<00:29:46.483> show. 00:29:46.970 --> 00:29:47.651 Honored<00:29:47.213> to<00:29:47.294> have<00:29:47.554> you. 00:29:47.716 --> 00:29:49.046 Congratulations<00:29:48.446> on<00:29:48.527> everything<00:29:48.835> you<00:29:48.932> built. 00:29:49.094 --> 00:29:50.735 It's<00:29:49.321> really<00:29:49.581> a<00:29:49.824> really,<00:29:50.067> really<00:29:50.295> cool<00:29:50.376> product. 00:29:50.800 --> 00:29:52.823 I<00:29:50.898> encourage<00:29:51.616> everybody<00:29:52.187> to<00:29:52.268> check<00:29:52.497> it<00:29:52.578> out. 00:29:52.986 --> 00:29:54.422 And<00:29:53.231> yeah,<00:29:53.492> thank<00:29:53.655> you<00:29:53.737> so<00:29:53.834> much<00:29:54.047> for<00:29:54.128> coming<00:29:54.373> on. 00:29:54.699 --> 00:29:55.140 Thanks,<00:29:55.025> Clint. 00:29:55.189 --> 00:29:55.776 I<00:29:55.270> appreciate<00:29:55.678> it. ```