1 00:00:02,800 --> 00:00:03,840 Speaker 1: Hello Sunshine. 2 00:00:04,160 --> 00:00:08,280 Speaker 2: Today on the bright Side, author and entrepreneur Brooke Markovicis 3 00:00:08,360 --> 00:00:10,879 Speaker 2: is here to show us what's missing from tech today 4 00:00:11,000 --> 00:00:14,720 Speaker 2: and how women are going to transform it. It's Monday, 5 00:00:14,840 --> 00:00:17,160 Speaker 2: May sixth. I'm Simone Voice. 6 00:00:16,880 --> 00:00:19,560 Speaker 1: I'm Danielle Robe and this is the bright Side from 7 00:00:19,560 --> 00:00:23,480 Speaker 1: Hello Sunshine. All Right, how was the weekend? 8 00:00:24,120 --> 00:00:26,479 Speaker 2: It was amazing? Okay, you know how I've talked about 9 00:00:26,480 --> 00:00:29,319 Speaker 2: my gaggle of GORP girls, the GGG. Yes, yes, So 10 00:00:29,640 --> 00:00:32,120 Speaker 2: a founding member of the GGG was in town this 11 00:00:32,200 --> 00:00:36,000 Speaker 2: weekend and she was staying at this really nice airbnb. 12 00:00:36,240 --> 00:00:38,560 Speaker 2: I picked her up. We went to go get Margarita's 13 00:00:38,760 --> 00:00:41,840 Speaker 2: and Mexican food for Cinco de Mayo. We had fun. 14 00:00:41,880 --> 00:00:43,239 Speaker 2: We had a fun little Sunday. 15 00:00:43,880 --> 00:00:48,200 Speaker 1: I feel like the GORP girls always have fun together always. 16 00:00:48,400 --> 00:00:51,839 Speaker 2: That's the number one rule of gorping. Yeah, how was 17 00:00:51,880 --> 00:00:52,400 Speaker 2: your weekend? 18 00:00:53,080 --> 00:00:55,639 Speaker 1: I had a preparatory weekend because you and I are 19 00:00:55,720 --> 00:00:59,400 Speaker 1: headed to New York for the podcast upfronts. And I 20 00:00:59,600 --> 00:01:03,120 Speaker 1: got a massage, a facial, I did a manny petty 21 00:01:03,280 --> 00:01:05,640 Speaker 1: damn girl. I haven't had like that kind of a 22 00:01:05,680 --> 00:01:08,399 Speaker 1: prep weekend in a while. It was great. Now I'm 23 00:01:08,440 --> 00:01:10,360 Speaker 1: ready to go to the East Coast with you. 24 00:01:10,560 --> 00:01:12,920 Speaker 2: I see that fresh ballet slipper manny girl. 25 00:01:13,240 --> 00:01:15,560 Speaker 1: Yes, you know I've been getting this color for the 26 00:01:15,640 --> 00:01:16,319 Speaker 1: last ten years. 27 00:01:16,400 --> 00:01:19,000 Speaker 2: You're a creature of habit Simona. Did you see that? 28 00:01:19,040 --> 00:01:23,800 Speaker 1: Ava Mendez told people that she was so happy she 29 00:01:23,920 --> 00:01:25,720 Speaker 1: waited to have kids until her forties. 30 00:01:25,840 --> 00:01:27,600 Speaker 2: I am so glad that you brought this up, because 31 00:01:27,600 --> 00:01:29,640 Speaker 2: I really want to talk about it. 32 00:01:29,240 --> 00:01:32,000 Speaker 1: Me too, because you know I have anxiety around it, 33 00:01:32,080 --> 00:01:32,800 Speaker 1: so this already. 34 00:01:32,840 --> 00:01:32,880 Speaker 3: No. 35 00:01:33,000 --> 00:01:35,720 Speaker 2: I tell you to quell that anxiety, because you have 36 00:01:35,800 --> 00:01:37,720 Speaker 2: plenty of time. You're only thirty three, and you can 37 00:01:37,760 --> 00:01:38,279 Speaker 2: have a family. 38 00:01:38,600 --> 00:01:40,920 Speaker 1: I like wake up from my sleep every morning and 39 00:01:40,959 --> 00:01:43,240 Speaker 1: I think about coffee and the fact that I'm running 40 00:01:43,280 --> 00:01:43,880 Speaker 1: out of time. 41 00:01:44,040 --> 00:01:46,640 Speaker 2: Maybe you should chill on the coffee, maybe because maybe 42 00:01:46,640 --> 00:01:48,960 Speaker 2: you'd feel like you're running out of time less. 43 00:01:49,080 --> 00:01:50,200 Speaker 1: Maybe that's the problem. 44 00:01:50,280 --> 00:01:50,960 Speaker 2: Yeah. 45 00:01:51,000 --> 00:01:52,960 Speaker 1: What was interesting here is that she said she took 46 00:01:53,000 --> 00:01:55,120 Speaker 1: a lot of heat for starting a family at forty 47 00:01:55,160 --> 00:01:57,760 Speaker 1: that people were really brutal with her, especially when she 48 00:01:57,760 --> 00:02:00,880 Speaker 1: got pregnant with her second child at forty two, and 49 00:02:00,920 --> 00:02:02,840 Speaker 1: they told her that she would be too tired to 50 00:02:02,880 --> 00:02:05,040 Speaker 1: have kids after forty That's a common thing. 51 00:02:05,040 --> 00:02:10,000 Speaker 2: I hear every older parent, like every woman who becomes 52 00:02:10,120 --> 00:02:13,320 Speaker 2: a mom later on in life, they all say it's fantastic. 53 00:02:13,560 --> 00:02:14,520 Speaker 2: They all say it's great. 54 00:02:14,639 --> 00:02:16,200 Speaker 1: Statistically they live longer. 55 00:02:16,600 --> 00:02:19,560 Speaker 2: That's interesting. I didn't know that. Yeah, I became a 56 00:02:19,560 --> 00:02:24,360 Speaker 2: mom at thirty three, at your age, and I'm so 57 00:02:24,480 --> 00:02:27,560 Speaker 2: glad that I waited. I can't imagine being a mom 58 00:02:27,560 --> 00:02:28,160 Speaker 2: in my twenties. 59 00:02:28,200 --> 00:02:29,160 Speaker 1: Would you have been ready? 60 00:02:29,880 --> 00:02:33,720 Speaker 2: No, See, there's this saying like, oh, you'll never truly 61 00:02:33,760 --> 00:02:37,799 Speaker 2: be ready, BS. I think you definitely reach a point 62 00:02:37,840 --> 00:02:40,760 Speaker 2: where you're like, Okay, I'm ready, and you're also you 63 00:02:40,800 --> 00:02:43,240 Speaker 2: can recognize when you're like, I am totally not ready. 64 00:02:43,280 --> 00:02:45,560 Speaker 2: I don't feel like I have enough structure in my life, 65 00:02:45,680 --> 00:02:46,480 Speaker 2: enough stability. 66 00:02:47,160 --> 00:02:49,480 Speaker 1: So yeah, that age is different for everybody. 67 00:02:49,639 --> 00:02:52,480 Speaker 2: Yeah, definitely. But I think this is so cool that 68 00:02:52,560 --> 00:02:56,880 Speaker 2: she's normalizing it, like she's doing things on her own time, 69 00:02:57,040 --> 00:03:00,400 Speaker 2: on her own timeline, and I think that that's I 70 00:03:00,400 --> 00:03:03,440 Speaker 2: think that's really refreshing, especially in an industry like Hollywood, 71 00:03:03,520 --> 00:03:06,120 Speaker 2: you know, like we have this obsession with expiration dates 72 00:03:06,160 --> 00:03:08,919 Speaker 2: for women, and I think we need to call BS 73 00:03:08,960 --> 00:03:09,200 Speaker 2: on it. 74 00:03:09,960 --> 00:03:13,120 Speaker 1: Also, I totally agree with you, and I love that 75 00:03:13,200 --> 00:03:17,200 Speaker 1: she's talking about it because I heard Hoda say that 76 00:03:17,440 --> 00:03:20,160 Speaker 1: she thought that she was too old to be a mom, 77 00:03:20,200 --> 00:03:22,799 Speaker 1: and then she saw Sandra Bullock do it. So when 78 00:03:22,800 --> 00:03:26,120 Speaker 1: we see and hear other people do things at ages 79 00:03:26,200 --> 00:03:29,760 Speaker 1: that feel maybe past, like the median age of doing stuff, 80 00:03:29,880 --> 00:03:31,560 Speaker 1: it feels like, oh I could do it too. 81 00:03:31,880 --> 00:03:34,079 Speaker 2: Yeah, totally think about it. You have more money when 82 00:03:34,080 --> 00:03:38,080 Speaker 2: you're older most of the time, hopefully hopefully, you probably 83 00:03:38,120 --> 00:03:39,920 Speaker 2: have a partner that you trust. 84 00:03:39,800 --> 00:03:41,800 Speaker 1: Hopefully hopefully ciss your fingers. 85 00:03:41,880 --> 00:03:45,800 Speaker 2: But speaking of partners, I just I love talking about 86 00:03:45,800 --> 00:03:49,400 Speaker 2: this family, Avia Mendez, Ryan Gosling. They are totally relationship goals. 87 00:03:49,440 --> 00:03:51,480 Speaker 2: You know Ryan, can't you say he was your to 88 00:03:51,520 --> 00:03:54,320 Speaker 2: hear me out? No? Now, No, Ryan is not to 89 00:03:54,320 --> 00:03:56,280 Speaker 2: hear me out. Ryan is a straightforward crush. 90 00:03:56,320 --> 00:03:58,080 Speaker 1: Oh I don't think so. I think he's a hear 91 00:03:58,120 --> 00:03:58,440 Speaker 1: me out. 92 00:04:01,040 --> 00:04:01,760 Speaker 2: Are you serious? 93 00:04:01,960 --> 00:04:04,400 Speaker 1: Yeah, he's not for me. This is not the point. 94 00:04:04,640 --> 00:04:06,160 Speaker 1: Oh we'll get back to this. 95 00:04:06,400 --> 00:04:08,400 Speaker 2: Says the girl who's hear me out as Drake. Ye, 96 00:04:09,200 --> 00:04:10,640 Speaker 2: your metrics are all off. 97 00:04:10,720 --> 00:04:12,880 Speaker 1: Good point, good point. I cannot be trusted. 98 00:04:13,160 --> 00:04:15,880 Speaker 2: Cannot be trusted anyway. So you know he's doing the 99 00:04:15,960 --> 00:04:17,880 Speaker 2: rounds for his new movie, The Fall Guy. 100 00:04:17,960 --> 00:04:18,080 Speaker 3: Right. 101 00:04:18,640 --> 00:04:21,839 Speaker 2: So he came out and talked about how he's actually 102 00:04:21,880 --> 00:04:26,240 Speaker 2: been turning down roles where the character is like too 103 00:04:26,480 --> 00:04:30,800 Speaker 2: psychologically distraught or wherever the role is like too dark. 104 00:04:30,880 --> 00:04:34,680 Speaker 2: And this is a decision that he's come to alongside 105 00:04:34,760 --> 00:04:37,680 Speaker 2: Ava as he's become a dad, because he just realizes, 106 00:04:37,760 --> 00:04:40,839 Speaker 2: like he doesn't want to put his family through that 107 00:04:40,960 --> 00:04:44,960 Speaker 2: distress that often comes with doing those really heavy weighty roles. 108 00:04:45,200 --> 00:04:47,640 Speaker 2: And I just thought that was really cool, like again 109 00:04:47,839 --> 00:04:52,080 Speaker 2: for a father now to be normalizing factoring his family 110 00:04:52,240 --> 00:04:54,880 Speaker 2: into decisions in such a big way. 111 00:04:57,000 --> 00:05:00,120 Speaker 1: I feel complicated about this because, on one hand, I 112 00:05:00,160 --> 00:05:04,960 Speaker 1: fully agree with you. I think oftentimes we hear mothers 113 00:05:05,360 --> 00:05:08,440 Speaker 1: talking about how they're going to pause at work or 114 00:05:08,480 --> 00:05:11,160 Speaker 1: make decisions for their family. It's super refreshing to hear 115 00:05:11,240 --> 00:05:14,080 Speaker 1: a father talk about it. But at the same time, 116 00:05:14,160 --> 00:05:16,800 Speaker 1: like a lot of people don't have these options, you 117 00:05:16,839 --> 00:05:19,479 Speaker 1: know what I mean, Like, it's definitely a privilege that 118 00:05:19,520 --> 00:05:21,440 Speaker 1: he has to be able to say yes or no 119 00:05:21,560 --> 00:05:25,440 Speaker 1: to work, and you know, sometimes it's hard to hear that. 120 00:05:25,839 --> 00:05:29,320 Speaker 2: I think he's acknowledged the privilege, though he has acknowledged that, 121 00:05:29,400 --> 00:05:31,200 Speaker 2: like I wouldn't be able to do what I do 122 00:05:31,360 --> 00:05:35,680 Speaker 2: without my wife, Ava, who has made a lot of 123 00:05:35,720 --> 00:05:38,440 Speaker 2: sacrifices as a mother and has decided to stay home 124 00:05:38,440 --> 00:05:39,880 Speaker 2: and be more present with our family. 125 00:05:40,080 --> 00:05:42,280 Speaker 1: He's such a good feminist. I remember when he won, 126 00:05:42,960 --> 00:05:45,279 Speaker 1: was in an oscar a golden globe and he said 127 00:05:45,640 --> 00:05:48,080 Speaker 1: this is for my wife, and he talked about how 128 00:05:48,120 --> 00:05:50,800 Speaker 1: she had like a brutal moment when her brother passed, 129 00:05:50,839 --> 00:05:54,560 Speaker 1: and he's just he's a really family oriented person. Okay, 130 00:05:54,560 --> 00:05:57,000 Speaker 1: So before we dive into our interview with Brooke, which 131 00:05:57,040 --> 00:05:59,599 Speaker 1: I'm really excited for because you know that I'm not 132 00:05:59,600 --> 00:06:03,920 Speaker 1: such a but she makes all of this really digestible, 133 00:06:04,400 --> 00:06:06,479 Speaker 1: I have to bring something else up that we saw. 134 00:06:06,880 --> 00:06:09,200 Speaker 1: There's this trend that reminded me of our conversation with 135 00:06:09,240 --> 00:06:12,280 Speaker 1: Courtney Quinn. You guys know her as color Me Courtney. 136 00:06:12,560 --> 00:06:16,280 Speaker 1: It's called dopamine decor. So if you've been scrolling through 137 00:06:16,279 --> 00:06:19,920 Speaker 1: TikTok or Pinterest lately, you've probably seen it popping up 138 00:06:19,960 --> 00:06:25,080 Speaker 1: all over your feed. Basically, it's feel good decor. It's 139 00:06:25,160 --> 00:06:29,080 Speaker 1: bringing back memories of carefree childhood bedrooms. So, like favorite 140 00:06:29,120 --> 00:06:34,200 Speaker 1: celebrity posters playful signs, Lava lamps a deep sense of joy. 141 00:06:34,240 --> 00:06:38,159 Speaker 2: Why are you shaking your head? This is this trend 142 00:06:38,200 --> 00:06:42,239 Speaker 2: gives me anxiety. I mean, there's no taste involved here. 143 00:06:42,400 --> 00:06:45,920 Speaker 2: If you're bringing knowledge is about if you're bringing a 144 00:06:46,000 --> 00:06:49,800 Speaker 2: lava lamp into your homes as an older person, like 145 00:06:49,880 --> 00:06:53,200 Speaker 2: as an adult. Oh my god, major red flag. 146 00:06:53,400 --> 00:06:55,599 Speaker 1: All I wanted was a lava lamp when I was younger, 147 00:06:55,600 --> 00:06:57,120 Speaker 1: and my parents would not get me one. 148 00:06:57,360 --> 00:07:00,240 Speaker 2: The keyword in that phrase was all I wanted when 149 00:07:00,760 --> 00:07:01,839 Speaker 2: I was younger. 150 00:07:02,040 --> 00:07:03,279 Speaker 1: Have you seen hustle and flow? 151 00:07:03,560 --> 00:07:07,760 Speaker 2: Of course, lava lamp doesn't belong in a house that's 152 00:07:07,760 --> 00:07:11,720 Speaker 2: owned by an adult. I am a minimalist decorator. My 153 00:07:11,760 --> 00:07:15,040 Speaker 2: house is all neutrals. It's very soothing. I cannot imagine 154 00:07:15,480 --> 00:07:18,960 Speaker 2: being surrounded by all these colors, these loud colors and textures. 155 00:07:19,040 --> 00:07:21,000 Speaker 2: I wear my colors. Did you have. 156 00:07:21,000 --> 00:07:22,480 Speaker 1: Posters on your wall when you were growing up? 157 00:07:22,600 --> 00:07:23,320 Speaker 2: Of course? Yeah? 158 00:07:23,400 --> 00:07:24,000 Speaker 1: Who do you have? 159 00:07:24,680 --> 00:07:28,760 Speaker 2: JTT? Jonathan Taylor Thomas, Jonathan Taylor Thomas. I finally we 160 00:07:28,800 --> 00:07:31,760 Speaker 2: agree on Finally. I kissed him every night before bed. 161 00:07:33,400 --> 00:07:34,640 Speaker 1: Is that how you learn how to make out? 162 00:07:35,680 --> 00:07:37,560 Speaker 2: No, it was paper, It would have gotten too socy. 163 00:07:37,560 --> 00:07:42,480 Speaker 2: I didn't try. But yeah, JTT, I mean Devin Sawah 164 00:07:42,640 --> 00:07:46,720 Speaker 2: Backstreet boys. I didn't have any teenage hear me outs 165 00:07:46,760 --> 00:07:47,800 Speaker 2: because they were all. 166 00:07:47,960 --> 00:07:51,160 Speaker 1: No, when you're a teenager, you're allowed to crush on anyone. 167 00:07:51,240 --> 00:07:53,520 Speaker 2: They were all tiger beats, every single one of them. 168 00:07:53,680 --> 00:07:57,440 Speaker 1: No, for sure, when you're a teenager, you don't look 169 00:07:57,520 --> 00:08:03,320 Speaker 1: at beauty in in like character or differences. You're just like, Oh, 170 00:08:03,760 --> 00:08:06,200 Speaker 1: that's the guy on the magazine that everyone else thinks 171 00:08:06,280 --> 00:08:07,760 Speaker 1: is hot. That's who I think is hot. 172 00:08:08,000 --> 00:08:10,800 Speaker 2: Well, I just liked pretty boys. I like these feminine 173 00:08:10,840 --> 00:08:11,440 Speaker 2: pretty boys. 174 00:08:11,480 --> 00:08:12,080 Speaker 1: They all did. 175 00:08:12,280 --> 00:08:13,960 Speaker 2: They all had that like that, Like. 176 00:08:15,880 --> 00:08:19,240 Speaker 1: Jesse McCarn Yeah, Jesse McCarthy was such a pretty boy. 177 00:08:19,400 --> 00:08:22,320 Speaker 2: Yeah. So wait, let me just get this straight. You 178 00:08:22,360 --> 00:08:26,280 Speaker 2: loved pretty boys as a teenager, but not into Ryan Gosling. 179 00:08:26,360 --> 00:08:27,160 Speaker 2: What's wrong with you? 180 00:08:27,200 --> 00:08:29,200 Speaker 1: No, I grew out of pretty boys. Now. I like 181 00:08:29,360 --> 00:08:30,360 Speaker 1: character in the face. 182 00:08:30,560 --> 00:08:31,120 Speaker 2: I like like. 183 00:08:32,720 --> 00:08:36,199 Speaker 1: A bigger nose, or bushy eyebrows, or like something different. 184 00:08:36,400 --> 00:08:39,880 Speaker 2: Just say you like an age gap, Daniell, Just say 185 00:08:39,880 --> 00:08:42,400 Speaker 2: I like an age gap. That's the only way you 186 00:08:42,400 --> 00:08:43,880 Speaker 2: get character in the face is time. 187 00:08:44,559 --> 00:08:47,760 Speaker 1: No, you just start to look at people like I 188 00:08:47,840 --> 00:08:50,240 Speaker 1: like like an energy, I like a confidence. I don't 189 00:08:50,240 --> 00:08:52,360 Speaker 1: even care about what they look like that much anymore. 190 00:08:52,800 --> 00:08:56,040 Speaker 2: Wow, I'm learning so much. What do you think about 191 00:08:56,080 --> 00:08:57,120 Speaker 2: dopamine decorating? 192 00:08:57,240 --> 00:08:59,800 Speaker 1: You know what's funny? This is gonna sound strange because 193 00:08:59,840 --> 00:09:02,640 Speaker 1: you know I like monochromatic everything. Yeah, I'm sort of 194 00:09:02,679 --> 00:09:03,079 Speaker 1: for this. 195 00:09:03,320 --> 00:09:05,640 Speaker 2: Well, you're you have that library at your house where 196 00:09:05,640 --> 00:09:09,559 Speaker 2: it's all rainbow colored books. They're all arranged in rainbow. 197 00:09:09,760 --> 00:09:12,160 Speaker 1: It makes me really happy. It's very home at it. 198 00:09:13,440 --> 00:09:16,040 Speaker 1: I kind of love the idea of lava lamps, of 199 00:09:16,240 --> 00:09:20,400 Speaker 1: candle holders, of tied I. I love tied I anything. 200 00:09:20,679 --> 00:09:22,479 Speaker 1: I don't wear it a lot, but I really. 201 00:09:22,200 --> 00:09:23,800 Speaker 2: Do love it tied I in a home. 202 00:09:24,640 --> 00:09:28,280 Speaker 1: It's just so fun makes me happy. Maybe I need 203 00:09:28,320 --> 00:09:30,600 Speaker 1: to have children and then they can decorate their rooms 204 00:09:30,600 --> 00:09:32,160 Speaker 1: like that, and then I get both the best of 205 00:09:32,200 --> 00:09:32,760 Speaker 1: both worlds. 206 00:09:37,320 --> 00:09:40,199 Speaker 2: Next up, we're going from brighter decor to a brighter 207 00:09:40,360 --> 00:09:45,240 Speaker 2: future with tech founder, entrepreneur and author Brooke Marcovicis. Stay 208 00:09:45,280 --> 00:09:58,439 Speaker 2: with us, We're back, Danielle. We are talking about women 209 00:09:58,440 --> 00:10:01,000 Speaker 2: in tech today, and I feel like I often have 210 00:10:01,080 --> 00:10:03,760 Speaker 2: a i don't know, like a physical reaction to that 211 00:10:03,840 --> 00:10:06,680 Speaker 2: phrase because it's typically followed by all the ways in 212 00:10:06,720 --> 00:10:10,520 Speaker 2: which women are underrepresented in the tech space. But this 213 00:10:10,600 --> 00:10:12,079 Speaker 2: is the bright side, So that means we're going to 214 00:10:12,120 --> 00:10:15,600 Speaker 2: be focusing on the solutions. We are making a point 215 00:10:15,679 --> 00:10:18,880 Speaker 2: of talking about solutions today and bringing you a vision 216 00:10:18,920 --> 00:10:20,679 Speaker 2: of what tech in the world would look like if 217 00:10:20,679 --> 00:10:21,760 Speaker 2: it were led by women. 218 00:10:22,160 --> 00:10:24,600 Speaker 1: If it were led by women, all right. 219 00:10:24,679 --> 00:10:24,760 Speaker 2: So. 220 00:10:24,880 --> 00:10:29,040 Speaker 1: Brooke Marcovicis is an entrepreneur, startup founder, and the author 221 00:10:29,200 --> 00:10:32,600 Speaker 1: of the Future Built by Women, Creating a Brighter Tomorrow 222 00:10:32,679 --> 00:10:35,920 Speaker 1: through Tech and Innovation. Her book is actually inspired by 223 00:10:35,960 --> 00:10:40,119 Speaker 1: her own journey from nonprofits to having her company Alabi acquired. 224 00:10:40,640 --> 00:10:42,520 Speaker 1: And what I love about the book, Simone, is that 225 00:10:42,559 --> 00:10:44,920 Speaker 1: Brooke not only talks about how women are just as 226 00:10:44,960 --> 00:10:48,160 Speaker 1: capable as men I mean, duh, but that we actually 227 00:10:48,200 --> 00:10:50,840 Speaker 1: have an advantage in the tech space because we see 228 00:10:50,880 --> 00:10:55,200 Speaker 1: fundamentally different problems that need to be solved. So Brooke, 229 00:10:55,480 --> 00:10:57,800 Speaker 1: welcome to the bright Side. Thank you. 230 00:10:58,000 --> 00:10:59,160 Speaker 3: I'm so glad to be here. 231 00:10:59,520 --> 00:11:01,800 Speaker 1: Your book even has a tagline with the word bright 232 00:11:01,880 --> 00:11:05,200 Speaker 1: in it. You were meant to be here. Yeah, of course, 233 00:11:05,559 --> 00:11:08,920 Speaker 1: the future built by Women. That's such a huge phrase. 234 00:11:09,559 --> 00:11:11,960 Speaker 1: What does a future built by women look like? 235 00:11:12,520 --> 00:11:16,640 Speaker 3: I think it's one where we're using our innate abilities 236 00:11:16,679 --> 00:11:21,360 Speaker 3: as women with empathy and kind of our intrinsic problem 237 00:11:21,440 --> 00:11:26,480 Speaker 3: solving abilities to create something that we don't have right now, 238 00:11:26,600 --> 00:11:30,439 Speaker 3: something that's brighter that we want for our kids, for ourselves. 239 00:11:30,840 --> 00:11:33,480 Speaker 3: We've leaned in, but I think now it's time to 240 00:11:33,760 --> 00:11:37,800 Speaker 3: really build instead of just focusing on leading, how can 241 00:11:37,880 --> 00:11:40,559 Speaker 3: we also get our hands a little dirty and start 242 00:11:40,600 --> 00:11:44,320 Speaker 3: solving the problems in ways that women can kind of 243 00:11:44,400 --> 00:11:46,760 Speaker 3: dive in a little bit deeper to Maybe we're going 244 00:11:46,840 --> 00:11:49,600 Speaker 3: to bring more empathy to the table. Maybe we are 245 00:11:49,679 --> 00:11:53,839 Speaker 3: going to bring problems that need solving with women's health 246 00:11:53,960 --> 00:11:56,720 Speaker 3: that hasn't been addressed in a long time. I think 247 00:11:56,760 --> 00:11:59,320 Speaker 3: that we want to dive into issues that men are 248 00:11:59,360 --> 00:11:59,920 Speaker 3: not solving. 249 00:12:00,640 --> 00:12:03,400 Speaker 2: Brooke, I want to rewind a little bit and talk 250 00:12:03,400 --> 00:12:08,839 Speaker 2: about how you discovered your why So you actually had 251 00:12:08,840 --> 00:12:12,679 Speaker 2: an entirely separate career working in nonprofits. How did that 252 00:12:12,800 --> 00:12:13,880 Speaker 2: work lead you here? 253 00:12:15,080 --> 00:12:15,480 Speaker 1: Yeah? 254 00:12:15,520 --> 00:12:20,480 Speaker 3: So, I think that women oftentimes have these career pivots 255 00:12:20,559 --> 00:12:24,120 Speaker 3: and jumps because we discover new things that we want 256 00:12:24,160 --> 00:12:28,360 Speaker 3: to achieve, that we want different impact. For me, I 257 00:12:28,400 --> 00:12:32,080 Speaker 3: was always fixing everybody's tech problems in our nonprofit, so 258 00:12:32,480 --> 00:12:34,760 Speaker 3: I was always the one everybody would call and say, Brook, 259 00:12:34,800 --> 00:12:36,760 Speaker 3: can you come to my office? My computer crash and 260 00:12:36,800 --> 00:12:38,960 Speaker 3: I don't know what to do. But the thing that 261 00:12:39,040 --> 00:12:41,679 Speaker 3: kind of flipped the switch for me is I was 262 00:12:41,720 --> 00:12:45,080 Speaker 3: watching a video about how Microsoft was setting up tech 263 00:12:45,120 --> 00:12:48,240 Speaker 3: centers and third world countries, and I was like, Wow, 264 00:12:48,280 --> 00:12:51,880 Speaker 3: there's so much power in giving people the ability to 265 00:12:51,960 --> 00:12:55,520 Speaker 3: use technology. It can allow them to increase their income, 266 00:12:55,880 --> 00:12:57,880 Speaker 3: it can get them out of poverty, it can do 267 00:12:58,000 --> 00:13:01,720 Speaker 3: so many really amazing things, and why are more people 268 00:13:01,840 --> 00:13:05,920 Speaker 3: not using tech for good? And with that nonprofit background, 269 00:13:06,000 --> 00:13:07,880 Speaker 3: I was like, there's a lot of problems that need 270 00:13:07,920 --> 00:13:08,520 Speaker 3: to be solved. 271 00:13:08,559 --> 00:13:09,439 Speaker 2: And so that's really. 272 00:13:09,280 --> 00:13:12,240 Speaker 3: Where I decided to kind of take that leap into 273 00:13:12,320 --> 00:13:14,560 Speaker 3: tech and found that it wasn't as hard as I 274 00:13:14,600 --> 00:13:16,880 Speaker 3: thought it would be and that there was a lot 275 00:13:16,920 --> 00:13:18,600 Speaker 3: of potential to do good with it. 276 00:13:19,120 --> 00:13:20,960 Speaker 1: How did you take that leap? Because I think one 277 00:13:21,000 --> 00:13:23,360 Speaker 1: of the barriers in people's minds to getting into tech, 278 00:13:23,840 --> 00:13:26,080 Speaker 1: if they aren't already in it, is how do I 279 00:13:26,120 --> 00:13:27,360 Speaker 1: even learn those skills? 280 00:13:28,160 --> 00:13:30,319 Speaker 3: I think the first thing I did was kind of 281 00:13:30,360 --> 00:13:33,679 Speaker 3: reframe it for myself. So I did go back up 282 00:13:33,720 --> 00:13:36,640 Speaker 3: pretty traditional route, went and got my master's in computer 283 00:13:36,720 --> 00:13:40,520 Speaker 3: information systems and dove in from there because I felt 284 00:13:40,520 --> 00:13:44,400 Speaker 3: that I needed that education label to be able to 285 00:13:44,480 --> 00:13:47,440 Speaker 3: step into tech. But what I would discover as I 286 00:13:47,480 --> 00:13:49,280 Speaker 3: went through is there was a lot of things that 287 00:13:49,360 --> 00:13:52,600 Speaker 3: I could learn and hack together as I was going 288 00:13:53,080 --> 00:13:56,720 Speaker 3: just by purely focusing on solving a problem. And so 289 00:13:57,080 --> 00:14:00,600 Speaker 3: I stuck with one programming language that I learned, focused 290 00:14:00,640 --> 00:14:04,000 Speaker 3: on and taught myself called Rubyon rails. I saw that 291 00:14:04,000 --> 00:14:05,480 Speaker 3: that was kind of the one that a lot of 292 00:14:05,600 --> 00:14:08,640 Speaker 3: platforms were using to build fast. And they have a 293 00:14:08,679 --> 00:14:12,719 Speaker 3: cool thing called gyms, which is pre programmed code that 294 00:14:12,840 --> 00:14:15,560 Speaker 3: helps you build faster. So we always look for those 295 00:14:15,600 --> 00:14:19,040 Speaker 3: little things that we can do to build faster, move faster, 296 00:14:19,360 --> 00:14:22,240 Speaker 3: get our leg up in our career, and for me, 297 00:14:22,360 --> 00:14:24,360 Speaker 3: I found that that would help me to build what 298 00:14:24,440 --> 00:14:25,560 Speaker 3: I wanted to faster. 299 00:14:26,240 --> 00:14:30,800 Speaker 1: Did you have moments of feeling discouraged along the way, Yeah. 300 00:14:30,520 --> 00:14:34,960 Speaker 3: I definitely struggled a lot, especially in grad school. There 301 00:14:34,960 --> 00:14:39,240 Speaker 3: were hardly any women there that were learning tech to 302 00:14:39,360 --> 00:14:42,880 Speaker 3: begin with. I had all male professors except for one, 303 00:14:43,600 --> 00:14:46,880 Speaker 3: and it was really easy to just want to throw 304 00:14:46,920 --> 00:14:50,280 Speaker 3: the towel in. My husband's an engineer, and so I'd 305 00:14:50,320 --> 00:14:52,440 Speaker 3: often be like, can you just help me with this assignment? 306 00:14:52,520 --> 00:14:55,440 Speaker 3: He's like, no, you need to figure this out yourself. Wow, 307 00:14:55,520 --> 00:14:58,880 Speaker 3: that's tough love, bro, It's tough love. But if he 308 00:14:58,960 --> 00:15:01,160 Speaker 3: had just helped me, I never would have learned it. 309 00:15:01,320 --> 00:15:05,280 Speaker 3: And so I am really appreciative that he kind of 310 00:15:05,320 --> 00:15:09,160 Speaker 3: forced me into figuring it out myself. But I always 311 00:15:09,240 --> 00:15:12,160 Speaker 3: was asking just where are the women? And it's because 312 00:15:12,160 --> 00:15:13,760 Speaker 3: we didn't see it. We didn't see it as a 313 00:15:13,800 --> 00:15:15,280 Speaker 3: path when we were younger. 314 00:15:15,960 --> 00:15:18,280 Speaker 1: When I was younger, I think I was in fifth grade, 315 00:15:18,360 --> 00:15:20,760 Speaker 1: my teacher had us do an exercise where we all 316 00:15:20,760 --> 00:15:23,760 Speaker 1: had to draw a picture of a scientist, a business leader, 317 00:15:23,800 --> 00:15:27,520 Speaker 1: an engineer, and everybody in the class drew a man. 318 00:15:28,240 --> 00:15:30,120 Speaker 1: And I think we have this picture in our mind 319 00:15:30,160 --> 00:15:33,400 Speaker 1: that men are business leaders, men are venture capitalists, men 320 00:15:33,440 --> 00:15:36,560 Speaker 1: are engineers, And you are really trying to disrupt that 321 00:15:36,640 --> 00:15:39,080 Speaker 1: by having us picture a world in which women are 322 00:15:39,120 --> 00:15:42,400 Speaker 1: the people we imagine in those positions. What do you 323 00:15:42,440 --> 00:15:44,320 Speaker 1: think makes women such great leaders? 324 00:15:44,880 --> 00:15:45,240 Speaker 2: Yeah? 325 00:15:45,320 --> 00:15:48,320 Speaker 3: So I am the same way. You know, growing up, 326 00:15:48,320 --> 00:15:53,720 Speaker 3: I never saw that path to being a builder. Then, 327 00:15:53,760 --> 00:15:57,680 Speaker 3: so what I hope that we can kind of see 328 00:15:57,720 --> 00:16:01,120 Speaker 3: as women is that we have just as much ability 329 00:16:01,160 --> 00:16:04,360 Speaker 3: as men to build and to learn how to code 330 00:16:04,400 --> 00:16:06,480 Speaker 3: if we want to go that route, but we also 331 00:16:06,840 --> 00:16:11,440 Speaker 3: have these abilities to take a problem, Like I see 332 00:16:11,440 --> 00:16:14,240 Speaker 3: different founders right now, like Rushmasu Johnny, who is the 333 00:16:14,280 --> 00:16:17,000 Speaker 3: founder of Girls Who Code. She saw a problem with 334 00:16:17,080 --> 00:16:19,960 Speaker 3: paid leave and she worked to advocate for it and 335 00:16:20,080 --> 00:16:23,800 Speaker 3: try to solve it in Congress, but that didn't happen yet, 336 00:16:23,840 --> 00:16:26,920 Speaker 3: and so she took AI and started to build an 337 00:16:26,920 --> 00:16:31,080 Speaker 3: AI platform to help with getting people paid parental leave 338 00:16:31,640 --> 00:16:34,520 Speaker 3: in the New York State area. And so taking these 339 00:16:34,520 --> 00:16:37,560 Speaker 3: small problems that we see that are facing our communities 340 00:16:37,640 --> 00:16:41,320 Speaker 3: or facing our society on a daily basis and saying okay, 341 00:16:41,400 --> 00:16:44,760 Speaker 3: I can use technology to make an impact right now, 342 00:16:45,160 --> 00:16:48,360 Speaker 3: whereas maybe a male founded company would be like I 343 00:16:48,400 --> 00:16:51,120 Speaker 3: want to get a burrito to your door faster, which 344 00:16:51,880 --> 00:16:53,920 Speaker 3: I worked at Postmates, so I can say that. But 345 00:16:54,400 --> 00:16:56,760 Speaker 3: we're the ones that you know are at pick up 346 00:16:56,760 --> 00:16:59,440 Speaker 3: and drop off often, we're the ones that are helping 347 00:16:59,480 --> 00:17:02,040 Speaker 3: in our commun unities and we see the issues that 348 00:17:02,080 --> 00:17:04,919 Speaker 3: are being faced and we want to step in and 349 00:17:04,960 --> 00:17:07,560 Speaker 3: try to solve them. I think that women have this 350 00:17:07,680 --> 00:17:10,840 Speaker 3: innate ability to keep going. I know that for me 351 00:17:11,600 --> 00:17:14,280 Speaker 3: becoming a mom. I always say that it was a 352 00:17:14,280 --> 00:17:18,240 Speaker 3: superpower for me and helped me step into entrepreneurship because 353 00:17:18,520 --> 00:17:20,600 Speaker 3: you just get it done as a mom that you 354 00:17:20,720 --> 00:17:22,480 Speaker 3: just have to figure out a way to get it done. 355 00:17:23,200 --> 00:17:25,720 Speaker 2: In a lot of ways, the Future Built by Women 356 00:17:26,000 --> 00:17:28,480 Speaker 2: is a response to some of those hurdles that you 357 00:17:28,600 --> 00:17:31,600 Speaker 2: faced launching your own company. Who did you write this 358 00:17:31,640 --> 00:17:32,200 Speaker 2: book for? 359 00:17:32,680 --> 00:17:36,320 Speaker 3: As I dove into really writing this book, I was like, 360 00:17:36,359 --> 00:17:39,040 Speaker 3: what do I always share with people? And it always 361 00:17:39,119 --> 00:17:41,960 Speaker 3: came back to these stories. It is hard out there. 362 00:17:42,080 --> 00:17:44,520 Speaker 3: There aren't very many women that are building. There aren't 363 00:17:44,520 --> 00:17:47,679 Speaker 3: that many women in tech. Less than twenty seven percent 364 00:17:47,760 --> 00:17:51,520 Speaker 3: of women enter into STEM fields and so like less 365 00:17:51,560 --> 00:17:54,640 Speaker 3: than that actually end up and doing that in their career. 366 00:17:55,240 --> 00:18:00,480 Speaker 3: And so I really wrote it for the woman that 367 00:18:00,880 --> 00:18:05,439 Speaker 3: is wanting to make an impact. Maybe she is looking 368 00:18:05,480 --> 00:18:08,320 Speaker 3: to switch careers right now and she's trying to figure 369 00:18:08,320 --> 00:18:11,440 Speaker 3: out what's next for her, or she's just jumping in 370 00:18:11,520 --> 00:18:14,680 Speaker 3: after graduation, but she might be faced with a lot 371 00:18:14,720 --> 00:18:17,879 Speaker 3: of problems. And so I really hope that as women 372 00:18:18,000 --> 00:18:21,400 Speaker 3: dive into this book, they're able to see that there 373 00:18:21,520 --> 00:18:24,960 Speaker 3: is a framework. There have been people that have led 374 00:18:25,040 --> 00:18:27,840 Speaker 3: before us, that have been building and that it is 375 00:18:28,000 --> 00:18:31,920 Speaker 3: possible to build a brighter future. We just really need 376 00:18:31,920 --> 00:18:35,560 Speaker 3: to collectively kind of lean into each other for support 377 00:18:36,359 --> 00:18:38,360 Speaker 3: and encouragement as we dive in. 378 00:18:39,440 --> 00:18:43,359 Speaker 1: I really love that you focus on women's stories in 379 00:18:43,400 --> 00:18:47,600 Speaker 1: this book, because, at least for me, tech sometimes feels unapproachable, 380 00:18:47,680 --> 00:18:51,480 Speaker 1: and hearing how other people have done it feels really inspiring. 381 00:18:51,720 --> 00:18:54,879 Speaker 1: There's this one case study that you talk about with 382 00:18:54,960 --> 00:18:58,720 Speaker 1: a computer programmer. Her name's Ada Lovelace. Why did you 383 00:18:58,760 --> 00:19:00,879 Speaker 1: profile her and can you share a little bit about 384 00:19:00,880 --> 00:19:01,440 Speaker 1: her story. 385 00:19:01,640 --> 00:19:04,200 Speaker 3: Yeah, So in the beginning of the book, I talk 386 00:19:04,280 --> 00:19:08,320 Speaker 3: about several women that made an impact in tech that 387 00:19:08,359 --> 00:19:11,400 Speaker 3: we don't often talk about. There's so many that actually 388 00:19:11,480 --> 00:19:15,199 Speaker 3: led the way. And Aida was the original programmer in 389 00:19:15,240 --> 00:19:19,040 Speaker 3: many ways. She was a mathematician by trade, and she 390 00:19:19,320 --> 00:19:22,000 Speaker 3: this was, you know, hundreds and hundreds of years ago, 391 00:19:22,480 --> 00:19:24,879 Speaker 3: but she led the way for all of us. And 392 00:19:24,920 --> 00:19:27,880 Speaker 3: so Aida is kind of our like Queen Bee when 393 00:19:27,880 --> 00:19:30,600 Speaker 3: it comes to programming, and she was the first one, 394 00:19:30,600 --> 00:19:33,040 Speaker 3: but we don't really talk about that women were actually 395 00:19:33,359 --> 00:19:36,480 Speaker 3: the first one of the first programmers. There's also a 396 00:19:36,600 --> 00:19:40,879 Speaker 3: key study about the Eniac team, which was a team 397 00:19:41,119 --> 00:19:45,000 Speaker 3: of former secretaries in World War Two. That are actually 398 00:19:45,040 --> 00:19:48,200 Speaker 3: who developed the programming language for one of the first 399 00:19:48,240 --> 00:19:50,760 Speaker 3: computers that we ever saw that came up in World 400 00:19:50,800 --> 00:19:53,720 Speaker 3: War two, and their stories were kind of buried because 401 00:19:53,760 --> 00:19:56,280 Speaker 3: the men took the credit for it. Yet they were 402 00:19:56,320 --> 00:19:59,480 Speaker 3: the ones that wrote the code for why we probably 403 00:19:59,480 --> 00:20:00,480 Speaker 3: won World Were two. 404 00:20:01,720 --> 00:20:04,480 Speaker 2: I love that you brought up the history of programming 405 00:20:04,520 --> 00:20:06,600 Speaker 2: because this is something that I nerd out about. Tell 406 00:20:06,600 --> 00:20:09,879 Speaker 2: me if I get this right. I remember learning that 407 00:20:10,480 --> 00:20:13,160 Speaker 2: women made up the majority of programmers in the beginning 408 00:20:13,400 --> 00:20:17,280 Speaker 2: and STEM at that time, and then with the onset 409 00:20:17,359 --> 00:20:22,560 Speaker 2: of the eighties, certain toys that were marketed as STEM 410 00:20:22,640 --> 00:20:26,680 Speaker 2: toys were marketed directly to boys instead of girls, and 411 00:20:26,760 --> 00:20:30,359 Speaker 2: that's where we started to get excluded from STEM. 412 00:20:30,760 --> 00:20:36,120 Speaker 3: Yes, so STEM is science, technology, engineering, and math, And yes, 413 00:20:36,240 --> 00:20:39,640 Speaker 3: you are correct, and honestly, as I researched so much 414 00:20:39,640 --> 00:20:41,359 Speaker 3: for this book, I could have written a whole book 415 00:20:41,400 --> 00:20:44,119 Speaker 3: on the history of why women were left out of STEM. 416 00:20:45,080 --> 00:20:48,359 Speaker 3: It shifted significantly in the eighties, and the reason that 417 00:20:48,480 --> 00:20:51,920 Speaker 3: it was prominent even during the World War two era 418 00:20:52,280 --> 00:20:56,440 Speaker 3: was because women were brought back into work because men 419 00:20:56,520 --> 00:20:59,920 Speaker 3: were fighting in the war, and we also had paid 420 00:21:00,480 --> 00:21:03,520 Speaker 3: childcare which was a huge reason why women could go 421 00:21:03,600 --> 00:21:07,240 Speaker 3: to work, and so, yeah, it definitely shifted significantly back 422 00:21:07,280 --> 00:21:09,720 Speaker 3: in the eighties. We went back to more of the 423 00:21:09,840 --> 00:21:13,200 Speaker 3: focus on the family unit as well, and so society 424 00:21:13,280 --> 00:21:16,520 Speaker 3: really shifted and left women out, even though there were 425 00:21:16,520 --> 00:21:19,480 Speaker 3: tons of women that had been working on STEM careers 426 00:21:19,520 --> 00:21:20,159 Speaker 3: at that point. 427 00:21:20,320 --> 00:21:21,840 Speaker 1: We're going to take a quick break and when we 428 00:21:21,880 --> 00:21:24,679 Speaker 1: come back, we're talking about how we envision the future 429 00:21:24,720 --> 00:21:29,159 Speaker 1: built by women and the incredible female entrepreneurs already paving 430 00:21:29,200 --> 00:21:32,440 Speaker 1: the way. 431 00:21:36,200 --> 00:21:39,160 Speaker 2: We're back, so brook thinking about the impact of those 432 00:21:39,200 --> 00:21:43,439 Speaker 2: images in our society, in media, in advertising, movies. What 433 00:21:43,640 --> 00:21:46,320 Speaker 2: needs to change in order for us to really realize 434 00:21:46,320 --> 00:21:48,000 Speaker 2: a future built by women. 435 00:21:48,640 --> 00:21:53,080 Speaker 3: Yeah, that's a great question. We as women right now 436 00:21:53,160 --> 00:21:55,480 Speaker 3: it could look really bleak. And I think that if 437 00:21:55,520 --> 00:22:00,159 Speaker 3: we focus too much on trying to fit in to 438 00:22:01,200 --> 00:22:03,720 Speaker 3: the way that tech is going, it's going to be 439 00:22:03,800 --> 00:22:06,560 Speaker 3: hard for us. It's really hard to get venture funding. 440 00:22:06,680 --> 00:22:08,720 Speaker 3: We get less than two percent of funding. I was 441 00:22:08,760 --> 00:22:11,240 Speaker 3: one of the lucky ones that was able to raise funding, 442 00:22:11,640 --> 00:22:13,800 Speaker 3: but then it hit a hard time when I couldn't 443 00:22:13,880 --> 00:22:14,600 Speaker 3: raise funding. 444 00:22:15,000 --> 00:22:16,080 Speaker 1: We really need. 445 00:22:15,840 --> 00:22:20,639 Speaker 3: To lean into building bootstrapped companies as much as we 446 00:22:20,760 --> 00:22:25,200 Speaker 3: can leading into working together to build because I've seen 447 00:22:25,240 --> 00:22:28,520 Speaker 3: a lot of really great female founders shut down their 448 00:22:28,520 --> 00:22:31,320 Speaker 3: companies because they focused too much on trying to raise 449 00:22:31,359 --> 00:22:35,680 Speaker 3: funding and didn't have a focus on bootstrapping that company 450 00:22:35,720 --> 00:22:39,080 Speaker 3: and building that product in another way, because it's just 451 00:22:39,119 --> 00:22:41,520 Speaker 3: the money is not there for us. The system is 452 00:22:41,560 --> 00:22:43,280 Speaker 3: not set up for us, so we need to figure 453 00:22:43,320 --> 00:22:45,679 Speaker 3: out ways to build around it. And I think that 454 00:22:45,720 --> 00:22:48,320 Speaker 3: we really can if we lean into building together. 455 00:22:48,520 --> 00:22:52,639 Speaker 1: I think of all the tech founded by women that 456 00:22:52,880 --> 00:22:57,280 Speaker 1: I utilize, I think the not comes to mind. All 457 00:22:57,320 --> 00:23:00,879 Speaker 1: of my friends say that it revolutionized the way that 458 00:23:00,960 --> 00:23:04,160 Speaker 1: they plan their weddings. Vote dot org was founded by 459 00:23:04,160 --> 00:23:09,320 Speaker 1: Deborah Cleaver, which simplifies political engagement and uses technology to 460 00:23:09,359 --> 00:23:13,240 Speaker 1: do so bumble like change the way women date. I 461 00:23:13,240 --> 00:23:16,040 Speaker 1: didn't know this, but the founder of Canva, Melanie Perkins, 462 00:23:16,080 --> 00:23:19,560 Speaker 1: which changed so many people's lives in terms of graphic design. 463 00:23:19,840 --> 00:23:23,480 Speaker 1: There's so many of these examples. What tech founded by 464 00:23:23,520 --> 00:23:26,320 Speaker 1: women do you utilize? What's changed your life? 465 00:23:26,840 --> 00:23:29,760 Speaker 3: Well, Melanie's one of my favorite people, and I'm convinced 466 00:23:29,760 --> 00:23:32,560 Speaker 3: that you could do anything if you have Canva. I 467 00:23:32,680 --> 00:23:36,720 Speaker 3: can make presentations, I can completely market myself on a 468 00:23:36,760 --> 00:23:42,240 Speaker 3: regular basis. And I also absolutely love event Bright and 469 00:23:42,320 --> 00:23:46,480 Speaker 3: always have. I think Julia's genius for bringing that platform 470 00:23:46,520 --> 00:23:49,879 Speaker 3: to life, but seeing that it stayed around even in 471 00:23:50,000 --> 00:23:54,199 Speaker 3: this era of the pandemic, but also in all of 472 00:23:54,240 --> 00:23:57,199 Speaker 3: these different platforms that came out, event Bright always kind 473 00:23:57,240 --> 00:24:01,439 Speaker 3: of stuck there. They knew what they were building was 474 00:24:01,480 --> 00:24:04,639 Speaker 3: solving a major problem. And all of those women have 475 00:24:04,760 --> 00:24:08,359 Speaker 3: had such successful companies that lasted. They didn't just you know, 476 00:24:08,520 --> 00:24:11,480 Speaker 3: hit unicorn status and fall apart. They've lasted the test 477 00:24:11,520 --> 00:24:13,840 Speaker 3: of time and continue to be amazing companies. 478 00:24:14,320 --> 00:24:16,680 Speaker 1: Will you quickly share what unicorn status is? I just 479 00:24:16,760 --> 00:24:17,440 Speaker 1: learned about this. 480 00:24:18,200 --> 00:24:22,159 Speaker 3: Yeah, so there's a lot to unicorn status, but ultimately 481 00:24:22,400 --> 00:24:26,000 Speaker 3: it's where they've hit this like multi billion dollar status, 482 00:24:26,040 --> 00:24:30,240 Speaker 3: either through venture capital funding or through actual revenue. So 483 00:24:31,000 --> 00:24:34,200 Speaker 3: like Serena Williams is known for investing in tons of 484 00:24:34,560 --> 00:24:38,320 Speaker 3: unicorn status companies because she sees that potential. She knows 485 00:24:38,320 --> 00:24:40,800 Speaker 3: what grit is and so she often invest in those 486 00:24:40,840 --> 00:24:41,480 Speaker 3: gritty women. 487 00:24:41,880 --> 00:24:44,440 Speaker 1: You have something in your book called the entrepreneurial equation. 488 00:24:45,280 --> 00:24:46,640 Speaker 1: Can you explain that to us? 489 00:24:47,560 --> 00:24:51,879 Speaker 3: Yeah, so it really is this passion and purpose plus 490 00:24:51,920 --> 00:24:56,280 Speaker 3: technology really will equal that impact for you. So this 491 00:24:56,320 --> 00:24:59,560 Speaker 3: can look different at different times. For me. As I 492 00:24:59,640 --> 00:25:02,080 Speaker 3: dove in to building my company, my last company out 493 00:25:02,080 --> 00:25:06,359 Speaker 3: would be I had this really big passion to solve 494 00:25:06,480 --> 00:25:09,600 Speaker 3: flexible work for women. I did not see a platform 495 00:25:09,680 --> 00:25:12,119 Speaker 3: out there. There were all kinds of different ones, but 496 00:25:12,480 --> 00:25:15,960 Speaker 3: they weren't really hitting on the issues that women were facing. 497 00:25:16,080 --> 00:25:19,840 Speaker 3: So we were leaving our nine to fives, oftentimes having kids, 498 00:25:20,000 --> 00:25:22,240 Speaker 3: and we wanted to still stay in the workforce, but 499 00:25:22,320 --> 00:25:27,159 Speaker 3: we wanted a place that added community plus flexibility to it. 500 00:25:27,359 --> 00:25:30,000 Speaker 3: And so I wanted to solve for that problem. But 501 00:25:30,080 --> 00:25:31,960 Speaker 3: I like to break that down in the book to 502 00:25:32,320 --> 00:25:35,120 Speaker 3: remind us it doesn't have to be a complicated thing. 503 00:25:35,240 --> 00:25:38,080 Speaker 3: That we could be working on a problem without even 504 00:25:38,359 --> 00:25:41,160 Speaker 3: knowing that we're an entrepreneur. And so in the middle 505 00:25:41,160 --> 00:25:43,320 Speaker 3: part of the book, I literally talk about how to 506 00:25:43,359 --> 00:25:46,879 Speaker 3: build how to be just dangerous enough with technology, And 507 00:25:46,920 --> 00:25:49,280 Speaker 3: so I really wanted women to be able to reframe 508 00:25:49,320 --> 00:25:52,240 Speaker 3: that and see that. So there's a ton of ways 509 00:25:52,280 --> 00:25:54,320 Speaker 3: that you can use that entrepreneurial equation. 510 00:25:55,080 --> 00:25:57,239 Speaker 2: What did you mean by that when you said I 511 00:25:57,280 --> 00:25:59,520 Speaker 2: want women to learn how to be just dangerous enough 512 00:25:59,560 --> 00:26:04,199 Speaker 2: with technic That sounds really sexy. Can you elaborate on that? So? 513 00:26:04,840 --> 00:26:08,600 Speaker 3: I think that technology is not as complex as people 514 00:26:08,640 --> 00:26:12,400 Speaker 3: make it out to be, especially in this era of AI. 515 00:26:12,680 --> 00:26:15,560 Speaker 3: You can literally ask it to code you just about 516 00:26:15,560 --> 00:26:17,760 Speaker 3: anything that you want. You just need to go to 517 00:26:17,800 --> 00:26:20,080 Speaker 3: it with the right question and problem that you want 518 00:26:20,080 --> 00:26:23,280 Speaker 3: to solve. I think that if you know just enough, 519 00:26:23,920 --> 00:26:27,520 Speaker 3: just enough of how programming works can help you solve 520 00:26:27,560 --> 00:26:30,320 Speaker 3: a problem if you just note these core concepts. 521 00:26:31,640 --> 00:26:33,800 Speaker 2: AI is one of those spaces that you mentioned that 522 00:26:33,840 --> 00:26:37,280 Speaker 2: you want women to show up in more. I think 523 00:26:37,320 --> 00:26:41,440 Speaker 2: a lot of us right now are so mystified by 524 00:26:41,440 --> 00:26:43,680 Speaker 2: it or even fearful of it, but we need to 525 00:26:43,760 --> 00:26:46,000 Speaker 2: change our attitude around it. Right what would you say 526 00:26:46,040 --> 00:26:50,040 Speaker 2: is the attitude that we should be adopting around AI. 527 00:26:50,359 --> 00:26:52,960 Speaker 3: So I've been using AI for over five years, way 528 00:26:53,000 --> 00:26:56,960 Speaker 3: before Chad GPT came out in January of twenty twenty three. 529 00:26:57,280 --> 00:27:00,119 Speaker 3: But one thing that I want to encourage women is 530 00:27:00,160 --> 00:27:02,760 Speaker 3: that we were not there when a lot of the 531 00:27:02,800 --> 00:27:06,560 Speaker 3: era of technology took off with social media apps prior 532 00:27:06,640 --> 00:27:09,600 Speaker 3: to that, which was generally the World Wide Web, and 533 00:27:09,640 --> 00:27:12,040 Speaker 3: we've been left out. We've been left out in the data, 534 00:27:12,359 --> 00:27:14,719 Speaker 3: we've been left out and how products have been built. 535 00:27:14,960 --> 00:27:17,480 Speaker 3: And I don't want us to be left out in AI, 536 00:27:17,720 --> 00:27:20,840 Speaker 3: because AI is going to completely change the way that 537 00:27:20,880 --> 00:27:25,000 Speaker 3: we work our society, and if women's voices are not 538 00:27:25,080 --> 00:27:27,240 Speaker 3: a part of it, and women's data is not a 539 00:27:27,280 --> 00:27:29,639 Speaker 3: part of it, we're going to be in trouble in 540 00:27:30,000 --> 00:27:32,960 Speaker 3: the next ten years. And so I encourage women to 541 00:27:32,960 --> 00:27:36,160 Speaker 3: make it really simple. Open up chat GVT at least 542 00:27:36,160 --> 00:27:38,920 Speaker 3: once a day and start asking it questions for things 543 00:27:38,920 --> 00:27:41,760 Speaker 3: that you're stumped on. Maybe you're trying to write an 544 00:27:41,760 --> 00:27:46,240 Speaker 3: email or an article, or you are trying to figure 545 00:27:46,280 --> 00:27:49,800 Speaker 3: out what place to travel next. Just start using it 546 00:27:49,840 --> 00:27:53,560 Speaker 3: and asking it questions. And one that's going to allow 547 00:27:53,640 --> 00:27:57,800 Speaker 3: chat GPT to hear more women's thought processes and things 548 00:27:57,840 --> 00:28:00,560 Speaker 3: that we're interested in and looking into because it keeps 549 00:28:00,600 --> 00:28:03,439 Speaker 3: all of that data. But it also allows you to 550 00:28:03,480 --> 00:28:07,040 Speaker 3: see how fast you can do things with AI and 551 00:28:07,080 --> 00:28:09,800 Speaker 3: how much faster it can help you to move forward 552 00:28:09,920 --> 00:28:10,959 Speaker 3: and save you time. 553 00:28:11,640 --> 00:28:14,080 Speaker 2: Danielle, you know that experiment that you were talking about 554 00:28:14,480 --> 00:28:16,280 Speaker 2: when you were in fifth grade and you had to 555 00:28:16,359 --> 00:28:18,720 Speaker 2: draw what a leader looks like, Well, that is exactly 556 00:28:18,760 --> 00:28:21,600 Speaker 2: what's happening with AI right now. The images that AI 557 00:28:21,720 --> 00:28:25,520 Speaker 2: is producing of leaders are predominantly men. Even the prompt 558 00:28:25,600 --> 00:28:29,520 Speaker 2: of a productive person, let's say, AI will generate a 559 00:28:29,600 --> 00:28:33,160 Speaker 2: man and predominantly white men. So if women don't get involved, 560 00:28:33,160 --> 00:28:36,119 Speaker 2: now we're going to get left behind with this technology 561 00:28:36,160 --> 00:28:37,520 Speaker 2: as well, and we're not going to be able to 562 00:28:37,520 --> 00:28:39,360 Speaker 2: implement the change that we need to see here. 563 00:28:39,920 --> 00:28:42,760 Speaker 1: There's huge gender bias already. I mean, I think of 564 00:28:42,960 --> 00:28:48,800 Speaker 1: autocorrect actually a lot, because that's AI, and it doesn't 565 00:28:48,840 --> 00:28:53,760 Speaker 1: recognize certain words specifically, like names of people in minority groups. 566 00:28:53,880 --> 00:28:58,080 Speaker 1: Like all of this technology is completely informed by the 567 00:28:58,200 --> 00:29:02,720 Speaker 1: people creating it, And so I think we're so with you, Brooke, 568 00:29:02,800 --> 00:29:05,960 Speaker 1: Like it's so important to use chat GPT so that 569 00:29:06,120 --> 00:29:08,480 Speaker 1: it recognizes women's thought processes. 570 00:29:09,080 --> 00:29:11,920 Speaker 2: I see the cover of your book, The Future Built 571 00:29:11,920 --> 00:29:14,760 Speaker 2: by Women, and the pink It makes me think of Barbie. 572 00:29:15,280 --> 00:29:18,520 Speaker 2: And when I think of Barbie, I think of the 573 00:29:18,560 --> 00:29:21,560 Speaker 2: matriarchy that we saw represented in that film, and I 574 00:29:21,600 --> 00:29:24,600 Speaker 2: honestly have never experienced a matriarchy in real life. We 575 00:29:24,720 --> 00:29:29,040 Speaker 2: just have never had that in America. And I'm curious 576 00:29:29,080 --> 00:29:32,720 Speaker 2: when you think about what a future built by women 577 00:29:33,360 --> 00:29:36,240 Speaker 2: might look like, what are the images that come to 578 00:29:36,320 --> 00:29:38,040 Speaker 2: mind for you, what do you envision. 579 00:29:38,800 --> 00:29:42,960 Speaker 3: I envision that we look at women as the builders 580 00:29:43,000 --> 00:29:45,360 Speaker 3: where we don't even have to do exercises. We're in 581 00:29:45,400 --> 00:29:48,760 Speaker 3: the classroom for you, Danielle, that it's just an automatic 582 00:29:48,920 --> 00:29:51,920 Speaker 3: thing that women can be what we want to be, 583 00:29:52,440 --> 00:29:58,160 Speaker 3: and that we get the credit for what we're building. 584 00:29:58,680 --> 00:30:01,640 Speaker 3: I think we need to continue all so to tell 585 00:30:01,680 --> 00:30:04,560 Speaker 3: these stories. We need to talk about Julia and Melanie 586 00:30:04,560 --> 00:30:07,400 Speaker 3: and all of these people and name drop the heck 587 00:30:07,400 --> 00:30:10,360 Speaker 3: out of them so people can see that that is 588 00:30:10,560 --> 00:30:13,880 Speaker 3: possible and that they can build these things. 589 00:30:14,320 --> 00:30:18,440 Speaker 1: You know, there's this meme online that says, surround yourself 590 00:30:18,640 --> 00:30:22,240 Speaker 1: with women who would speak your name in rooms where 591 00:30:22,280 --> 00:30:25,760 Speaker 1: you're not, And I think about that all the time. 592 00:30:25,840 --> 00:30:29,400 Speaker 1: It's so important to speak other women's names. You're doing 593 00:30:29,440 --> 00:30:32,480 Speaker 1: that so well in your book, Brook, and you know 594 00:30:32,520 --> 00:30:34,840 Speaker 1: you continue to do it in your work, so thank 595 00:30:34,880 --> 00:30:35,440 Speaker 1: you so much. 596 00:30:36,120 --> 00:30:36,560 Speaker 2: Of course. 597 00:30:36,640 --> 00:30:38,440 Speaker 1: Yeah, I think that's a huge thing. 598 00:30:38,480 --> 00:30:41,520 Speaker 3: I've been lucky that women have spoke my name in rooms, 599 00:30:41,520 --> 00:30:44,320 Speaker 3: and I hope that we can continue to do that. 600 00:30:44,600 --> 00:30:47,400 Speaker 3: And I think a lot of times we can put 601 00:30:47,480 --> 00:30:51,000 Speaker 3: too much ego into it. As women, we try to 602 00:30:51,080 --> 00:30:54,440 Speaker 3: like be too masculine in many ways, and I think 603 00:30:54,480 --> 00:30:57,720 Speaker 3: one of our big traits is that empathy, but also 604 00:30:57,760 --> 00:31:01,520 Speaker 3: that community building, and when we can lean in and 605 00:31:01,560 --> 00:31:04,000 Speaker 3: pull each other together and help each other get to 606 00:31:04,000 --> 00:31:06,280 Speaker 3: where we're going, I think it can be a really 607 00:31:06,400 --> 00:31:09,680 Speaker 3: beautiful thing. Women want to support each other, and women 608 00:31:09,760 --> 00:31:12,720 Speaker 3: want to see a future where we're all included and 609 00:31:12,760 --> 00:31:15,040 Speaker 3: where we're talked about and where we're lifted up. 610 00:31:16,480 --> 00:31:17,960 Speaker 2: Thank you so much, Brooke. 611 00:31:18,360 --> 00:31:20,400 Speaker 3: Thank you, it was so great to be here. 612 00:31:21,280 --> 00:31:25,000 Speaker 1: Brooke Marcovicis is a tech entrepreneur and author of the 613 00:31:25,040 --> 00:31:28,840 Speaker 1: Future Built by Women, Creating a brighter Tomorrow through tech 614 00:31:29,000 --> 00:31:29,760 Speaker 1: and innovation. 615 00:31:34,760 --> 00:31:37,080 Speaker 2: That's it for today's show. Thank you to our partners 616 00:31:37,080 --> 00:31:41,600 Speaker 2: at Airbnb, and tomorrow we're joined by Hollywood Royalty y'all, Oscar, 617 00:31:41,680 --> 00:31:44,800 Speaker 2: Emmy and Golden Globe winning actor Regina King and her 618 00:31:44,880 --> 00:31:48,160 Speaker 2: Rockstar producing partner and sister Reina King. 619 00:31:48,480 --> 00:31:51,480 Speaker 1: Listen and follow the bright Side on the iHeartRadio app, 620 00:31:51,760 --> 00:31:54,480 Speaker 1: Apple Podcasts, or wherever you get your podcasts. 621 00:31:54,600 --> 00:31:57,280 Speaker 2: I'm Simone Voice. You can find me at simone Voice 622 00:31:57,320 --> 00:31:58,720 Speaker 2: on Instagram and TikTok. 623 00:31:58,880 --> 00:32:02,320 Speaker 1: I'm Danielle Robe on Instagram and TikTok. That's r O 624 00:32:02,760 --> 00:32:05,640 Speaker 1: B A. Y we'll see you tomorrow. Keep looking on 625 00:32:05,680 --> 00:32:09,640 Speaker 1: the bright side.