1 00:00:00,920 --> 00:00:03,360 Speaker 1: First contact with Lori Siegel is a production of Dot 2 00:00:03,360 --> 00:00:05,200 Speaker 1: Dot Dot Media and iHeartRadio. 3 00:00:09,480 --> 00:00:12,360 Speaker 2: We don't travel anymore. And it seemed impossible if you'd 4 00:00:12,360 --> 00:00:15,480 Speaker 2: told anybody on February first that you will not be 5 00:00:15,560 --> 00:00:18,120 Speaker 2: on a plane from March fifteenth until god knows when, 6 00:00:18,120 --> 00:00:21,599 Speaker 2: people would have said that's impossible, that's impossible, possible. The 7 00:00:21,640 --> 00:00:24,560 Speaker 2: impossible has become possible, right, So we know how quickly 8 00:00:24,600 --> 00:00:27,080 Speaker 2: things can change, but you have to have the will 9 00:00:27,120 --> 00:00:29,600 Speaker 2: to do it. So I think that what these companies 10 00:00:29,600 --> 00:00:32,120 Speaker 2: and what these powerful people to your point, who are 11 00:00:32,159 --> 00:00:35,400 Speaker 2: disproportionately white and male, are going to have to grapple 12 00:00:35,440 --> 00:00:39,320 Speaker 2: with is this isn't working. And our employees are telling 13 00:00:39,400 --> 00:00:41,640 Speaker 2: us it's not working. The press ishilliness, it's not working, 14 00:00:41,680 --> 00:00:44,960 Speaker 2: the protests are telling it's not working. Right, this isn't working. 15 00:00:45,680 --> 00:00:48,519 Speaker 2: They realize that the time is passed where they can say, 16 00:00:48,720 --> 00:00:51,120 Speaker 2: do we think we should act? And the answer is 17 00:00:51,360 --> 00:00:55,520 Speaker 2: we have to act. There is a business imperative, and 18 00:00:55,560 --> 00:00:57,400 Speaker 2: I think that there is a moral imperative. And I 19 00:00:57,400 --> 00:01:00,600 Speaker 2: think that Silicon Valley can't sit this out any longer. 20 00:01:08,360 --> 00:01:12,440 Speaker 1: I love technology, I love Silicon Valley. I've spent my 21 00:01:12,520 --> 00:01:17,000 Speaker 1: career covering it. I'm also frustrated sometimes it feels like 22 00:01:17,000 --> 00:01:21,520 Speaker 1: we're asking the same questions over and over and over again. 23 00:01:22,160 --> 00:01:24,679 Speaker 1: I've known Sarah Kunst as a person who will say 24 00:01:24,720 --> 00:01:28,080 Speaker 1: things that other people won't say, who will call out 25 00:01:28,120 --> 00:01:33,120 Speaker 1: inappropriate behavior. She's quick to speak, not just tweet. She's 26 00:01:33,120 --> 00:01:36,160 Speaker 1: been leading a discussion on the unforst situations for minorities 27 00:01:36,200 --> 00:01:38,720 Speaker 1: in tech for a long time. She's been a big 28 00:01:38,760 --> 00:01:42,360 Speaker 1: supporter of funding women, and I know her as someone 29 00:01:42,440 --> 00:01:45,480 Speaker 1: who's made it her life's work to change those things 30 00:01:45,520 --> 00:01:48,520 Speaker 1: for the better. My question right now that I want 31 00:01:48,560 --> 00:01:52,160 Speaker 1: to ask everyone in tech, while there is momentum, how 32 00:01:52,200 --> 00:01:54,880 Speaker 1: do we make sure we finally start making the necessary 33 00:01:55,040 --> 00:01:57,840 Speaker 1: changes in the tech industry that it's not just about 34 00:01:57,960 --> 00:02:01,080 Speaker 1: changing our profile photos, but it's about changing the makeup 35 00:02:01,120 --> 00:02:05,440 Speaker 1: of the boards, making companies more diverse, changing legislation, and 36 00:02:05,480 --> 00:02:08,760 Speaker 1: putting our money where our mouth is. I know these 37 00:02:08,800 --> 00:02:11,440 Speaker 1: are times of listening and learning. We all have to 38 00:02:11,440 --> 00:02:14,120 Speaker 1: do a better job of informing ourselves and listening to 39 00:02:14,200 --> 00:02:18,840 Speaker 1: others and changing our behaviors. So let's listen to Sarah Kunst. 40 00:02:19,240 --> 00:02:25,040 Speaker 1: I'm Laur Siegel, and this is first contact. First of all, 41 00:02:25,120 --> 00:02:26,880 Speaker 1: it is so nice to see. I know, it's so 42 00:02:26,960 --> 00:02:30,280 Speaker 1: nice to see your fake goodness. So I wanted to 43 00:02:30,320 --> 00:02:34,240 Speaker 1: start by just talking about our first contact. Right, So 44 00:02:34,840 --> 00:02:37,799 Speaker 1: first of all, for folks listening, like, we've known each 45 00:02:37,800 --> 00:02:42,520 Speaker 1: other for a really long time, especially in tech years, 46 00:02:42,560 --> 00:02:44,400 Speaker 1: Like do you remember our first contact. 47 00:02:44,440 --> 00:02:47,400 Speaker 2: We've known each other I think for two recessions now, 48 00:02:47,480 --> 00:02:49,000 Speaker 2: which is quite a long time. 49 00:02:49,919 --> 00:02:52,280 Speaker 1: Oh when you say it like that, it sounds so 50 00:02:52,280 --> 00:02:53,760 Speaker 1: so long, it sounds so long. 51 00:02:54,160 --> 00:02:57,320 Speaker 2: Yeah, I mean I remember, you know, back when we 52 00:02:57,320 --> 00:02:59,680 Speaker 2: were both living in New York and we were sort 53 00:02:59,680 --> 00:03:03,359 Speaker 2: of young, young people just starting out in the tech industry. 54 00:03:03,760 --> 00:03:05,440 Speaker 2: And you know, it's one of those things where the 55 00:03:05,480 --> 00:03:07,800 Speaker 2: tech industry there at the time was so small that 56 00:03:08,120 --> 00:03:10,400 Speaker 2: you know, if you went to three parties in two bars, 57 00:03:10,440 --> 00:03:13,080 Speaker 2: you knew everybody, and so it was a fun time 58 00:03:13,200 --> 00:03:15,120 Speaker 2: because it really did feel like a community. 59 00:03:16,080 --> 00:03:19,440 Speaker 1: Yeah, and I remember meeting you it actually that it's 60 00:03:19,480 --> 00:03:21,440 Speaker 1: such an interesting thing. You brought up the recession. We've 61 00:03:21,440 --> 00:03:24,040 Speaker 1: talked about this in prior episodes, Like there was a 62 00:03:24,080 --> 00:03:28,600 Speaker 1: lot of innovation happening and coming out of the recession, right, 63 00:03:28,680 --> 00:03:31,720 Speaker 1: there were a lot of really interesting companies that were 64 00:03:32,040 --> 00:03:34,720 Speaker 1: coming out of it. And there was this movement in 65 00:03:34,800 --> 00:03:37,240 Speaker 1: New York because people always think San Francisco tech, but 66 00:03:37,280 --> 00:03:39,840 Speaker 1: there was this movement in New York tech and you 67 00:03:39,920 --> 00:03:42,800 Speaker 1: had a lot of founders just going and coding different 68 00:03:42,800 --> 00:03:45,440 Speaker 1: apps and being creative and doing all sorts of stuff. 69 00:03:45,480 --> 00:03:48,600 Speaker 1: And there was a very small group of people. And 70 00:03:48,680 --> 00:03:51,440 Speaker 1: I remember meeting you then and it was that was 71 00:03:51,480 --> 00:03:53,000 Speaker 1: our first content. I think it was at a party 72 00:03:53,000 --> 00:03:55,640 Speaker 1: in Soho, not to be specific. So that was cool. 73 00:03:55,800 --> 00:03:58,000 Speaker 2: The only place to meet anybody in twenty ten was 74 00:03:58,000 --> 00:03:59,520 Speaker 2: a party in Soho. 75 00:03:59,720 --> 00:04:03,400 Speaker 1: Right right, and by the way, like those seem like 76 00:04:03,400 --> 00:04:05,880 Speaker 1: happy times. And I've been wanting to have you on 77 00:04:06,120 --> 00:04:08,360 Speaker 1: for a while because you've done so much work I 78 00:04:08,400 --> 00:04:11,960 Speaker 1: think as an entrepreneur and as an investor too, and 79 00:04:12,080 --> 00:04:14,560 Speaker 1: talking about a lot of issues and something I've always 80 00:04:14,600 --> 00:04:17,839 Speaker 1: liked about you, Sarah, and to give I always like 81 00:04:17,880 --> 00:04:20,120 Speaker 1: to kind of paint a picture of the people I 82 00:04:20,160 --> 00:04:23,960 Speaker 1: interview for our listeners, Like you're the person that says 83 00:04:24,120 --> 00:04:26,760 Speaker 1: the unpopular thing or not the unpopular thing. You're just 84 00:04:26,760 --> 00:04:29,600 Speaker 1: like the person who says things out loud. You will 85 00:04:29,640 --> 00:04:33,120 Speaker 1: say things when other people won't. You will call people out. 86 00:04:33,200 --> 00:04:35,320 Speaker 1: You know, we talk about us, you know, being in 87 00:04:35,360 --> 00:04:39,640 Speaker 1: tech back in the day, like you have said things 88 00:04:39,760 --> 00:04:43,719 Speaker 1: to investors who have behaved inappropriately. You have been talking 89 00:04:44,279 --> 00:04:47,320 Speaker 1: about how things are unfair for minorities and tech for 90 00:04:47,360 --> 00:04:51,839 Speaker 1: a very long time, and so it seems appropriate for 91 00:04:51,960 --> 00:04:53,279 Speaker 1: me to have you on now, but I should have 92 00:04:53,279 --> 00:04:55,400 Speaker 1: had you on before. So I'm really happy to be 93 00:04:55,400 --> 00:04:58,479 Speaker 1: speaking to you right now because what an extraordinary moment 94 00:04:58,600 --> 00:05:01,479 Speaker 1: we're in. Yeah, thank you with everything going on. First 95 00:05:01,480 --> 00:05:03,320 Speaker 1: of all, how are you feeling about everything? How are 96 00:05:03,360 --> 00:05:03,640 Speaker 1: you doing? 97 00:05:03,680 --> 00:05:05,880 Speaker 2: You're in San Francisco, I mean San Francisco, Yeah, I 98 00:05:05,880 --> 00:05:09,680 Speaker 2: mean it. You know, it has been an absolutely insane 99 00:05:09,720 --> 00:05:12,080 Speaker 2: couple of weeks on top of an insane you know, 100 00:05:12,120 --> 00:05:15,440 Speaker 2: a couple of months, and when it comes to, you know, 101 00:05:15,520 --> 00:05:18,200 Speaker 2: issues around racism in America, and on top of it, 102 00:05:18,560 --> 00:05:21,080 Speaker 2: on top of an insane you know, four hundred years right, So, 103 00:05:21,680 --> 00:05:25,640 Speaker 2: on one hand, what's happening right now feels unbelievable. And 104 00:05:25,680 --> 00:05:27,360 Speaker 2: on the other hand, do you remember that America is 105 00:05:27,360 --> 00:05:29,640 Speaker 2: a country that started out with you know, started out 106 00:05:29,640 --> 00:05:31,960 Speaker 2: with genocide and then moved to slavery. And you're like, actually, 107 00:05:32,000 --> 00:05:34,400 Speaker 2: I guess these protests kind of makes sense, right. It's 108 00:05:34,440 --> 00:05:36,920 Speaker 2: probably more a question of certainly, you know, we saw 109 00:05:36,960 --> 00:05:39,200 Speaker 2: some of this stuff in the nineteen sixties, but it's 110 00:05:39,200 --> 00:05:41,520 Speaker 2: probably more of a question of why did it take 111 00:05:41,560 --> 00:05:43,360 Speaker 2: so long instead of why is it happening now? 112 00:05:44,720 --> 00:05:48,159 Speaker 1: Yeah, And I mean I've always looked at things through 113 00:05:48,160 --> 00:05:50,599 Speaker 1: the lens of tech, and like I had this moment 114 00:05:50,640 --> 00:05:53,600 Speaker 1: where I was looking at all these venture capitalists we 115 00:05:53,680 --> 00:05:55,320 Speaker 1: know and a lot of people we know who are 116 00:05:55,440 --> 00:05:58,160 Speaker 1: you know, talking about black Lives matter? And I'm so 117 00:05:58,240 --> 00:06:00,880 Speaker 1: happy to see people out there and post and voicing 118 00:06:00,880 --> 00:06:03,800 Speaker 1: their support. But my question to you would be, you know, 119 00:06:04,360 --> 00:06:07,880 Speaker 1: there's so many issues and tech right, and there are 120 00:06:07,880 --> 00:06:13,280 Speaker 1: so many larger issues around this. The numbers and tech 121 00:06:13,320 --> 00:06:17,239 Speaker 1: are pretty terrible for minorities. I think I was looking 122 00:06:17,240 --> 00:06:20,360 Speaker 1: and doing research for this. Someone from Upfront Ventures posted 123 00:06:20,680 --> 00:06:23,560 Speaker 1: blacks are underrepresented in the executive ranks of startups by 124 00:06:23,640 --> 00:06:25,840 Speaker 1: eighty two percent. More than seventy five percent of all 125 00:06:25,880 --> 00:06:29,080 Speaker 1: rounds raised go to all white founding teams. So, you know, 126 00:06:29,320 --> 00:06:31,920 Speaker 1: my first reaction as I was watching this whole movement 127 00:06:32,040 --> 00:06:34,760 Speaker 1: happening in tech and watching a lot of the people 128 00:06:34,800 --> 00:06:38,080 Speaker 1: I know changing some of their profiles and posting a 129 00:06:38,080 --> 00:06:41,400 Speaker 1: lot of stuff, was this is great change your profile, 130 00:06:41,440 --> 00:06:45,120 Speaker 1: but also change your boards, change all these other things. 131 00:06:45,160 --> 00:06:47,719 Speaker 1: And so how are you feeling about I mean, what 132 00:06:47,760 --> 00:06:50,440 Speaker 1: do you think about stuff happening in your own backyard? 133 00:06:50,440 --> 00:06:52,160 Speaker 1: Do you think things will change because of this? 134 00:06:52,320 --> 00:06:55,440 Speaker 2: You know, I've been drawing a lot of comparisons to 135 00:06:55,520 --> 00:06:58,200 Speaker 2: the Me Too movement and what happened in tech then, 136 00:06:58,839 --> 00:07:02,800 Speaker 2: and you know, having been very involved in that, It's 137 00:07:02,839 --> 00:07:06,279 Speaker 2: one of those things where, you know, the Reverend Jesse 138 00:07:06,400 --> 00:07:08,760 Speaker 2: Jackson likes to say that in moments like this, they're 139 00:07:08,800 --> 00:07:11,440 Speaker 2: kind of tree shakers and jelly makers, right. So there 140 00:07:11,440 --> 00:07:13,800 Speaker 2: are people who shake the tree, the people out protesting, 141 00:07:13,840 --> 00:07:16,240 Speaker 2: the people who are saying this is absolutely like, this 142 00:07:16,280 --> 00:07:19,160 Speaker 2: is We're done. Right, It's been four hundred years, we 143 00:07:19,200 --> 00:07:22,200 Speaker 2: are not doing this anymore. This is done, and this 144 00:07:22,320 --> 00:07:25,760 Speaker 2: being you know, racism and the systemic discrimination against people 145 00:07:25,760 --> 00:07:29,360 Speaker 2: of color, particularly obviously black people. Right. So those are 146 00:07:29,400 --> 00:07:31,040 Speaker 2: the people who are out there shaking the trees. And 147 00:07:31,080 --> 00:07:33,920 Speaker 2: then the jelly makers are the people who aren't necessarily 148 00:07:33,960 --> 00:07:36,560 Speaker 2: always on the front lines protesting, but who are sitting 149 00:07:36,640 --> 00:07:39,440 Speaker 2: there saying, you know, what can we do to change legislation, 150 00:07:39,520 --> 00:07:41,840 Speaker 2: What can we do to change hiring practices? What can 151 00:07:41,880 --> 00:07:43,840 Speaker 2: we do to make our boards murdivers, to make the 152 00:07:43,840 --> 00:07:46,000 Speaker 2: companies we invest in more diverse, to make the investor 153 00:07:46,000 --> 00:07:46,800 Speaker 2: based mortiverse. 154 00:07:47,160 --> 00:07:47,360 Speaker 1: Right. 155 00:07:47,480 --> 00:07:52,640 Speaker 2: And we know from research that whatever your investor demographics 156 00:07:52,680 --> 00:07:54,480 Speaker 2: look like, your investments tend to look like. 157 00:07:54,600 --> 00:07:54,680 Speaker 1: Right. 158 00:07:54,800 --> 00:07:58,320 Speaker 2: So if funds hire women, then they invest in more women. 159 00:07:58,720 --> 00:08:01,840 Speaker 2: And I think almost no funds, no large scale funds, 160 00:08:02,120 --> 00:08:03,840 Speaker 2: have a mandate when they hire a woman, saying, of 161 00:08:03,880 --> 00:08:05,800 Speaker 2: course you're supposed to invest in women. It's just that 162 00:08:06,080 --> 00:08:09,040 Speaker 2: we tend to gravitate towards what we know. So, you know, 163 00:08:09,160 --> 00:08:11,920 Speaker 2: we know that that works. And we know that there 164 00:08:11,920 --> 00:08:14,760 Speaker 2: are certain groups in tech that are incredibly underrepresented, right. 165 00:08:14,800 --> 00:08:19,600 Speaker 2: Black people incredibly underrepresented, you know, Hispanic people incredibly underrepresented, right. 166 00:08:19,680 --> 00:08:22,480 Speaker 2: Native Americans are underrepresented to the point where they barely 167 00:08:22,520 --> 00:08:25,440 Speaker 2: exist in tech, right. And so we know that these 168 00:08:25,480 --> 00:08:29,080 Speaker 2: groups are underrepresented, and we also know from data that 169 00:08:29,120 --> 00:08:32,080 Speaker 2: if we have more of them around the investing table, right, 170 00:08:32,120 --> 00:08:34,160 Speaker 2: that will invest in more of them because there's not 171 00:08:34,360 --> 00:08:36,480 Speaker 2: really a lot. There's certainly not a lack of talent, 172 00:08:36,920 --> 00:08:39,200 Speaker 2: and maybe five ten years ago there is a lack 173 00:08:39,280 --> 00:08:43,400 Speaker 2: of founders in these demographics because they were very reasonably 174 00:08:43,400 --> 00:08:46,160 Speaker 2: looking at you know, the inability to get funded and 175 00:08:46,200 --> 00:08:47,960 Speaker 2: saying maybe I don't want to start a company, right, 176 00:08:48,000 --> 00:08:50,679 Speaker 2: maybe I should be a lawyer, doctor, whatever. Now we're 177 00:08:50,720 --> 00:08:53,520 Speaker 2: seeing something different, and we're seeing that there are a 178 00:08:53,600 --> 00:08:57,000 Speaker 2: lot of founders of these demographics who are brilliant, amazing. 179 00:08:57,040 --> 00:08:59,600 Speaker 2: They're coming from top schools, they're coming out of top companies. 180 00:08:59,760 --> 00:09:02,360 Speaker 2: You know, they are ready to go. They just deeply 181 00:09:02,400 --> 00:09:03,720 Speaker 2: struggle to get money raised. 182 00:09:04,880 --> 00:09:07,440 Speaker 1: Yeah, I mean, I guess I think about it, and 183 00:09:07,440 --> 00:09:09,600 Speaker 1: I think about the circles that we've been in in 184 00:09:09,679 --> 00:09:12,360 Speaker 1: Silicon Valley, and I think about the rooms that we've 185 00:09:12,400 --> 00:09:15,720 Speaker 1: had the privilege of being in and. 186 00:09:15,600 --> 00:09:17,160 Speaker 2: Sometimes misfortune of being in. 187 00:09:17,240 --> 00:09:20,880 Speaker 1: But yes, right right, I mean, actually we should also 188 00:09:21,840 --> 00:09:24,360 Speaker 1: we can have that whole conversation. I mean, you're you 189 00:09:24,400 --> 00:09:27,400 Speaker 1: are one of the women that called out an investor 190 00:09:27,960 --> 00:09:32,120 Speaker 1: for bad behavior and harassment and this started like a whole, 191 00:09:32,160 --> 00:09:34,120 Speaker 1: a whole thing where a lot of other women spoke 192 00:09:34,160 --> 00:09:38,040 Speaker 1: out against it. So yes, that that as well. But yeah, 193 00:09:38,080 --> 00:09:41,040 Speaker 1: we we have access to the room. But you're a 194 00:09:41,080 --> 00:09:43,000 Speaker 1: woman of color. I mean, there are not a lot 195 00:09:43,000 --> 00:09:45,040 Speaker 1: of people, you know that look like you in the 196 00:09:45,120 --> 00:09:48,800 Speaker 1: room all the time, you know, And so I wonder, 197 00:09:49,000 --> 00:09:52,559 Speaker 1: like it is a boys club. And so while there's 198 00:09:52,600 --> 00:09:58,080 Speaker 1: this momentum right now and this feels different hopefully, I mean, god, 199 00:09:58,120 --> 00:10:01,400 Speaker 1: I want there to be changed, like, you know, specifically 200 00:10:01,480 --> 00:10:05,840 Speaker 1: in Silicon Valley. You know, I get frustrated, right, like 201 00:10:06,040 --> 00:10:08,640 Speaker 1: how many times have we heard the company line? And 202 00:10:08,920 --> 00:10:12,360 Speaker 1: even as you know, as someone of privilege and as 203 00:10:12,360 --> 00:10:15,760 Speaker 1: someone in the media, and I have a responsibility too, 204 00:10:15,880 --> 00:10:19,160 Speaker 1: like what can we actually do to just not hear 205 00:10:19,200 --> 00:10:21,719 Speaker 1: the company line over and over again so we can 206 00:10:21,760 --> 00:10:26,160 Speaker 1: get more more people actually getting funded, more companies from 207 00:10:26,200 --> 00:10:29,320 Speaker 1: diverse perspectives. You know, what do you think specifically, are 208 00:10:29,400 --> 00:10:31,640 Speaker 1: like some action items that we could do? 209 00:10:31,760 --> 00:10:34,720 Speaker 2: Yeah, you know the great thing is right that that's 210 00:10:34,720 --> 00:10:38,280 Speaker 2: easy and it's easy, but it doesn't mean that it 211 00:10:38,400 --> 00:10:41,040 Speaker 2: is simple, right, and so it's easy and that I 212 00:10:41,080 --> 00:10:43,440 Speaker 2: love to use the example of crypto, right, I was 213 00:10:43,480 --> 00:10:45,839 Speaker 2: really early in bitcoin, and you know, I love to 214 00:10:45,920 --> 00:10:51,079 Speaker 2: use as an example. Where before bitcoin was invented right 215 00:10:51,160 --> 00:10:54,520 Speaker 2: by whoever Satoshi is, it didn't exist. And then now 216 00:10:54,600 --> 00:10:58,400 Speaker 2: a decade later, almost every big fund has a crypto 217 00:10:58,440 --> 00:11:01,000 Speaker 2: expert on staff, has invested in crypto companies, has made 218 00:11:01,000 --> 00:11:03,840 Speaker 2: a bunch of money, right, And so black people have 219 00:11:03,880 --> 00:11:06,640 Speaker 2: certainly existed right far longer than bitcoin. And so the 220 00:11:06,720 --> 00:11:10,480 Speaker 2: idea that you can't go out and find a source 221 00:11:10,600 --> 00:11:14,120 Speaker 2: of viewpoints, right worldview and voices that you haven't already 222 00:11:14,120 --> 00:11:16,160 Speaker 2: had in your fund or in your company, and that 223 00:11:16,240 --> 00:11:18,880 Speaker 2: you can't bring them in and that you can't empower 224 00:11:18,960 --> 00:11:21,560 Speaker 2: them to do great work and give them real capital 225 00:11:21,840 --> 00:11:25,160 Speaker 2: is demonstrably false, because we've seen people do that in 226 00:11:25,200 --> 00:11:28,120 Speaker 2: crypto right. People woke up in maybe twenty thirteen and said, Hey, 227 00:11:28,120 --> 00:11:29,920 Speaker 2: crypto's a real thing. We're going to go out, We're 228 00:11:29,920 --> 00:11:31,880 Speaker 2: going to you know, do some listening. We're going to 229 00:11:32,000 --> 00:11:34,000 Speaker 2: learn about it, we're going to talk to experts, we're 230 00:11:34,000 --> 00:11:35,559 Speaker 2: going to get to know people in this space. We're 231 00:11:35,600 --> 00:11:37,360 Speaker 2: going to make some small bets, and then we're going 232 00:11:37,400 --> 00:11:39,120 Speaker 2: to make some large bets, and we're going to bring 233 00:11:39,160 --> 00:11:41,360 Speaker 2: people in to do this full time. And they did 234 00:11:41,400 --> 00:11:43,640 Speaker 2: it right. Within a year or two and twenty twelve, 235 00:11:43,720 --> 00:11:46,520 Speaker 2: almost no major fund at a crypto investor, and now, 236 00:11:46,600 --> 00:11:49,160 Speaker 2: you know, sit by twenty eighteen, almost every fund did. 237 00:11:49,480 --> 00:11:51,800 Speaker 2: So if you can make that kind of change in 238 00:11:51,800 --> 00:11:54,600 Speaker 2: that short amount of time, take that playbook right that 239 00:11:54,679 --> 00:11:57,280 Speaker 2: you just ran. This wasn't twenty years ago. This was 240 00:11:57,320 --> 00:11:59,800 Speaker 2: five years ago, three years ago, and go and do 241 00:11:59,840 --> 00:12:02,880 Speaker 2: it around diversity. And we saw some of this post 242 00:12:02,920 --> 00:12:06,200 Speaker 2: me too, where companies said, oh, should we hire women? 243 00:12:06,320 --> 00:12:09,480 Speaker 2: The answer is well, yes, right, because there's really only 244 00:12:09,480 --> 00:12:12,720 Speaker 2: two answers to this. You either fundamentally truly believe that 245 00:12:12,880 --> 00:12:15,959 Speaker 2: only white men are capable of greatness, in which case 246 00:12:16,000 --> 00:12:18,520 Speaker 2: you're probably not listening to this podcast and please stop 247 00:12:18,520 --> 00:12:23,000 Speaker 2: listening to this podcast, or you are acknowledging that if 248 00:12:23,040 --> 00:12:26,520 Speaker 2: you're only working with white men, but there's greatness everywhere, 249 00:12:26,559 --> 00:12:29,680 Speaker 2: and there's talent everywhere, that you're leaving money on the table. Right, Like, 250 00:12:29,920 --> 00:12:32,800 Speaker 2: I'm a venture capitalist. I'm not a full time activist, right. 251 00:12:32,840 --> 00:12:35,120 Speaker 2: I am a venture capitalist. It is my job to 252 00:12:35,280 --> 00:12:37,840 Speaker 2: take capital and make more money with it. And so 253 00:12:37,920 --> 00:12:40,160 Speaker 2: if I am leaving money on the table, I'm not 254 00:12:40,240 --> 00:12:40,880 Speaker 2: doing my job. 255 00:12:44,800 --> 00:12:46,440 Speaker 1: Okay, we've got to take a quick break to hear 256 00:12:46,480 --> 00:12:49,240 Speaker 1: from our sponsors more with my guest after the break. 257 00:13:04,280 --> 00:13:07,000 Speaker 1: I look at even the controversy of Facebook right now. 258 00:13:07,040 --> 00:13:10,560 Speaker 1: I look at this idea that there's this controversial decision 259 00:13:10,679 --> 00:13:15,200 Speaker 1: over free speech and decision that Zuckerberg made, and a 260 00:13:15,200 --> 00:13:17,880 Speaker 1: lot of people are talking about it and saying a 261 00:13:17,920 --> 00:13:20,439 Speaker 1: lot of employees are beginning to speak out against it. 262 00:13:20,520 --> 00:13:23,240 Speaker 1: But what's interesting, and I think it was reported that 263 00:13:23,240 --> 00:13:25,480 Speaker 1: that decision was made and there was only one person 264 00:13:25,520 --> 00:13:28,560 Speaker 1: of color in the room, So there's a lack of 265 00:13:28,600 --> 00:13:31,960 Speaker 1: diversity of perspective. And you know, I guess, like this 266 00:13:32,080 --> 00:13:34,600 Speaker 1: isn't a news story. And the time that we've had 267 00:13:34,600 --> 00:13:37,520 Speaker 1: our quote first contact, Like how many times have we 268 00:13:37,600 --> 00:13:42,400 Speaker 1: had this conversation? But I guess that maybe is the point, right, 269 00:13:42,440 --> 00:13:44,800 Speaker 1: how many times do we have to have this conversation 270 00:13:44,880 --> 00:13:48,920 Speaker 1: because now there's real world impact and we're seeing it 271 00:13:48,960 --> 00:13:52,960 Speaker 1: trickle out in these ways that are in many cases 272 00:13:53,040 --> 00:13:58,000 Speaker 1: unhealthy for society. And so you know, what are you 273 00:13:58,160 --> 00:13:59,920 Speaker 1: hearing you talk to people? I feel like you're kind 274 00:13:59,920 --> 00:14:02,920 Speaker 1: of everyone's confessional and like everyone tells you kind of 275 00:14:02,920 --> 00:14:05,440 Speaker 1: like their war stories. I have all the tea, I 276 00:14:05,520 --> 00:14:08,880 Speaker 1: have all Yeah, you have like all the tea, Like, like, 277 00:14:09,320 --> 00:14:12,600 Speaker 1: what are you hearing like from people within these companies? 278 00:14:12,720 --> 00:14:16,280 Speaker 2: That's the thing, right, Like my like probably starting like 279 00:14:16,280 --> 00:14:19,800 Speaker 2: like Friday Saturday last week when you know this happened, 280 00:14:20,080 --> 00:14:22,800 Speaker 2: George Floyd was murdered, you know, like, oh my god, 281 00:14:23,040 --> 00:14:24,680 Speaker 2: like less than two weeks ago, and it feels like 282 00:14:24,840 --> 00:14:29,560 Speaker 2: a thousand years ago, right, and since then that has 283 00:14:29,840 --> 00:14:33,280 Speaker 2: just you know, the the amount of phone calls, texts inbounds, 284 00:14:33,360 --> 00:14:36,840 Speaker 2: you know, emails and ask for what do we do? 285 00:14:36,920 --> 00:14:37,480 Speaker 2: What do we say? 286 00:14:37,560 --> 00:14:37,640 Speaker 1: Right? 287 00:14:37,720 --> 00:14:40,840 Speaker 2: I spent the weekend helping portfolio companies and my investors, 288 00:14:41,080 --> 00:14:43,160 Speaker 2: you know, craft their statements and you know, what do 289 00:14:43,200 --> 00:14:45,040 Speaker 2: we say? Who do we donate to? What do we do? 290 00:14:45,320 --> 00:14:47,280 Speaker 2: And the great news is there are things that people 291 00:14:47,360 --> 00:14:50,440 Speaker 2: can do right now, in this moment that make massive differences. 292 00:14:50,520 --> 00:14:50,680 Speaker 1: Right. 293 00:14:50,880 --> 00:14:53,520 Speaker 2: If you donate to the Bail project, you are literally 294 00:14:53,840 --> 00:14:57,040 Speaker 2: bailing out a protester who is out there saying, you 295 00:14:57,040 --> 00:14:59,720 Speaker 2: know what, black lives matter, but they can't afford the 296 00:14:59,720 --> 00:15:02,440 Speaker 2: bail right, and so you're like helping in the moment. 297 00:15:02,480 --> 00:15:05,960 Speaker 2: And that is so important right when you say you know, hey, 298 00:15:06,200 --> 00:15:09,000 Speaker 2: black lives matter right on your Twitter account, your Instagram 299 00:15:09,120 --> 00:15:12,160 Speaker 2: or and your emails to your companies and in externally. Yes, 300 00:15:12,200 --> 00:15:14,080 Speaker 2: at some point it feels like every company is just 301 00:15:14,080 --> 00:15:16,080 Speaker 2: saying it to check the box. But let me be 302 00:15:16,200 --> 00:15:18,600 Speaker 2: very clear that that's an important box to check, right, 303 00:15:18,920 --> 00:15:20,800 Speaker 2: because you need to say, when we live in a 304 00:15:20,840 --> 00:15:23,800 Speaker 2: world where it is not inherently obvious to every human, 305 00:15:24,120 --> 00:15:26,680 Speaker 2: that black lives matter, right, that my life matters as 306 00:15:26,760 --> 00:15:29,440 Speaker 2: much as your life and as much as anyone else's life. Right, 307 00:15:29,560 --> 00:15:32,480 Speaker 2: then we need to say that. But that's the bare minimum. 308 00:15:32,520 --> 00:15:34,560 Speaker 2: That's where you start. And I'm glad that people are 309 00:15:34,600 --> 00:15:37,520 Speaker 2: donating and glad that people are like really honestly truly 310 00:15:37,560 --> 00:15:40,360 Speaker 2: saving lives and helping to fund policy changes in real time. 311 00:15:40,720 --> 00:15:43,240 Speaker 2: But that's a beginning point. That's not an end point, right, 312 00:15:43,520 --> 00:15:46,440 Speaker 2: because the policy changes need to happen. But on the 313 00:15:46,480 --> 00:15:48,680 Speaker 2: other hand, you know, there's a lot we can do 314 00:15:48,720 --> 00:15:52,360 Speaker 2: without policy. I work and venture capital, it's private equity, right, 315 00:15:52,440 --> 00:15:54,720 Speaker 2: we don't really interact with the government much. So what 316 00:15:54,760 --> 00:15:58,280 Speaker 2: the government's doing doesn't have a ton of impact on 317 00:15:58,360 --> 00:16:01,520 Speaker 2: our industry. It's what we choose to do with the money. 318 00:16:01,760 --> 00:16:04,120 Speaker 2: And so you know, I've getting a lot of inbounds 319 00:16:04,120 --> 00:16:05,720 Speaker 2: from people are saying what do we do? And I say, 320 00:16:05,760 --> 00:16:08,080 Speaker 2: you know, think about your hiring, right, think about your 321 00:16:08,120 --> 00:16:10,640 Speaker 2: companies hiring. Think about the board seats right that you 322 00:16:10,760 --> 00:16:12,800 Speaker 2: have and that you control. You know, what are you 323 00:16:12,920 --> 00:16:15,760 Speaker 2: doing to explicitly go out and look for this and 324 00:16:15,800 --> 00:16:18,400 Speaker 2: bring it in and support it? Right? And there's tons 325 00:16:18,400 --> 00:16:21,520 Speaker 2: of great organizations already, you know, on the education side, 326 00:16:21,560 --> 00:16:24,600 Speaker 2: like Code twenty forty and Black Girls Code, and you 327 00:16:24,600 --> 00:16:27,760 Speaker 2: know there are organizations like Black Women Talk Tech and 328 00:16:27,920 --> 00:16:30,640 Speaker 2: you know Black v See. There's not a lack of 329 00:16:30,680 --> 00:16:33,720 Speaker 2: these things, right, These people are not hard to find. 330 00:16:34,360 --> 00:16:36,960 Speaker 2: My LinkedIn inbox, you know, has been overflowing all week 331 00:16:37,040 --> 00:16:39,880 Speaker 2: as I've been having these conversations with various media outlets. 332 00:16:40,000 --> 00:16:42,760 Speaker 2: People can find you, right, People can find you, and 333 00:16:43,120 --> 00:16:46,000 Speaker 2: there's also endless resources online about how to do this. 334 00:16:46,280 --> 00:16:47,920 Speaker 2: But at the end of the day, if you're a 335 00:16:47,960 --> 00:16:50,840 Speaker 2: venture fund or you know, an elite tech company and 336 00:16:50,920 --> 00:16:53,480 Speaker 2: you are like, we only really recruit from Stanford, MIT 337 00:16:53,720 --> 00:16:57,640 Speaker 2: and Harvard, great news, Stanford, MIT and Harvard have incredibly 338 00:16:57,640 --> 00:17:00,440 Speaker 2: diverse student bases right both at the undergrad and grad 339 00:17:00,480 --> 00:17:03,320 Speaker 2: student level. You can go find these people. And so 340 00:17:03,400 --> 00:17:05,960 Speaker 2: it's not that it's you know, I'm sure you remember 341 00:17:06,000 --> 00:17:08,639 Speaker 2: around me too. And even before that, right, there is 342 00:17:08,680 --> 00:17:11,560 Speaker 2: this whole sort of conversation nationally about where do we 343 00:17:11,600 --> 00:17:14,600 Speaker 2: find women, Like, buddy, women are over fifty percent of 344 00:17:14,640 --> 00:17:17,760 Speaker 2: the population. Where can she find women? Right? And so 345 00:17:18,280 --> 00:17:21,520 Speaker 2: like that's really the frustration is if you care about this, 346 00:17:21,600 --> 00:17:24,040 Speaker 2: go do this. If you don't care about this one 347 00:17:24,280 --> 00:17:27,119 Speaker 2: like I'll pray for you, but two then like just 348 00:17:27,119 --> 00:17:28,719 Speaker 2: just you know, get out of the way and let 349 00:17:28,760 --> 00:17:31,359 Speaker 2: people who do care do the work. And so, you know, 350 00:17:31,480 --> 00:17:35,960 Speaker 2: I'm cautiously optimistic that some of the conversations that we've 351 00:17:36,000 --> 00:17:38,520 Speaker 2: seen in the last week and a half will turn 352 00:17:38,600 --> 00:17:42,120 Speaker 2: into you know, real changes in capital allocation, will turn 353 00:17:42,160 --> 00:17:45,119 Speaker 2: into real changes at who's on boards and who's hired 354 00:17:45,280 --> 00:17:48,560 Speaker 2: and also candidly who's fired. Because as we learned with 355 00:17:48,640 --> 00:17:50,760 Speaker 2: me too, it wasn't enough to say we're going to 356 00:17:50,760 --> 00:17:52,720 Speaker 2: bring more women in. You also have to have really 357 00:17:52,720 --> 00:17:55,719 Speaker 2: honest conversations with yourself and say, if I work at 358 00:17:55,720 --> 00:17:58,199 Speaker 2: a fund that has you know, one hundred people across 359 00:17:58,200 --> 00:18:01,919 Speaker 2: the investment and platforms, and I've never fired anybody for 360 00:18:01,960 --> 00:18:05,440 Speaker 2: being sexist and racist, right, but my team is incredibly undiverse, 361 00:18:05,760 --> 00:18:08,359 Speaker 2: Like you have to ask yourself, are you sure that 362 00:18:08,440 --> 00:18:11,440 Speaker 2: you understand what's really going on at your firm? Right? 363 00:18:11,520 --> 00:18:14,160 Speaker 2: If you work at a huge tech company and you've 364 00:18:14,320 --> 00:18:17,359 Speaker 2: never fired anybody for being sexist and racist, then we 365 00:18:17,480 --> 00:18:21,720 Speaker 2: definitely know right that you probably are not being you know, 366 00:18:21,840 --> 00:18:24,520 Speaker 2: vigilant enough about it. Because you have to create an 367 00:18:24,600 --> 00:18:27,800 Speaker 2: environment where not only do you get people to come 368 00:18:28,080 --> 00:18:30,199 Speaker 2: work with you or to come, you know, let you 369 00:18:30,240 --> 00:18:33,440 Speaker 2: invest in their companies, but where you also are supporting 370 00:18:33,480 --> 00:18:36,120 Speaker 2: them so that if there are people on your teams 371 00:18:36,400 --> 00:18:39,119 Speaker 2: who aren't making it welcome, who are doing, you know, 372 00:18:39,240 --> 00:18:43,240 Speaker 2: things that are incredibly painful to those people, that you're 373 00:18:43,280 --> 00:18:45,560 Speaker 2: weeding them out. It's sort of like when you paint 374 00:18:45,600 --> 00:18:47,840 Speaker 2: your house, right, you would never go to an old, 375 00:18:47,840 --> 00:18:49,720 Speaker 2: dirty house and just put a new code of paint 376 00:18:49,720 --> 00:18:51,199 Speaker 2: on it. You have to clean it off and you 377 00:18:51,240 --> 00:18:53,280 Speaker 2: have to like scrape it off and get the old 378 00:18:53,359 --> 00:18:55,840 Speaker 2: gross stuff off and then you can start fresh. 379 00:18:56,680 --> 00:18:59,879 Speaker 1: How do we like scrape off the paint in Silicon Valley? 380 00:19:00,920 --> 00:19:04,240 Speaker 2: I mean, that is a great question. The thing to remember, right, 381 00:19:04,400 --> 00:19:06,920 Speaker 2: is that Silicon Valley is not very old, like venture is. 382 00:19:06,960 --> 00:19:10,800 Speaker 2: An asset class is younger than our parents by far. 383 00:19:11,320 --> 00:19:12,960 Speaker 2: And so when you think about the fact that the 384 00:19:13,000 --> 00:19:16,800 Speaker 2: asset class itself is barely fifty years old, and that 385 00:19:17,080 --> 00:19:20,400 Speaker 2: these companies, right name a huge tech company and it 386 00:19:20,480 --> 00:19:22,920 Speaker 2: is younger than we are, right, most tech companies are 387 00:19:22,920 --> 00:19:25,440 Speaker 2: not old enough to drive yet, right, And so when 388 00:19:25,440 --> 00:19:28,320 Speaker 2: you think of it from that perspective, if new tech 389 00:19:28,320 --> 00:19:31,480 Speaker 2: companies can become unicorns, you know, in five years and 390 00:19:31,560 --> 00:19:34,280 Speaker 2: go from not existing, right. You and I remember when 391 00:19:34,320 --> 00:19:36,679 Speaker 2: we met in New York. Uber didn't really exist in 392 00:19:36,720 --> 00:19:38,760 Speaker 2: New York, right, and now it's like, you know, ten 393 00:19:38,800 --> 00:19:41,160 Speaker 2: thousand pound gorilla in the room. So if that can 394 00:19:41,240 --> 00:19:44,080 Speaker 2: happen in the span of one decade, then why not 395 00:19:44,400 --> 00:19:47,080 Speaker 2: make a conscious effort to say, I'm going to fund 396 00:19:47,440 --> 00:19:50,800 Speaker 2: a more diverse range of incredible founders so that the 397 00:19:50,840 --> 00:19:54,199 Speaker 2: next Uber doesn't you know, have one the same problems 398 00:19:54,200 --> 00:19:56,639 Speaker 2: that the first uber has had, but two that it 399 00:19:56,960 --> 00:20:01,000 Speaker 2: doesn't you know, have a lack of diversity, because we 400 00:20:01,040 --> 00:20:04,600 Speaker 2: know diversity drives better business returns and drives better business decisions. 401 00:20:06,040 --> 00:20:11,760 Speaker 1: Yeah, I keep thinking, you know, I love technology. I 402 00:20:11,880 --> 00:20:17,080 Speaker 1: love Silicon Valley. You know this was this is my career, right, 403 00:20:17,880 --> 00:20:19,760 Speaker 1: this is when we met. You know, I've spent my 404 00:20:19,800 --> 00:20:24,440 Speaker 1: career covering it. I am also disappointed in many ways 405 00:20:24,480 --> 00:20:29,200 Speaker 1: to oftentimes have to ask the same questions over and 406 00:20:29,280 --> 00:20:32,600 Speaker 1: over again. Like you can hear sirens outside my place 407 00:20:32,680 --> 00:20:36,080 Speaker 1: right now, because people are protesting on the street and 408 00:20:36,080 --> 00:20:39,320 Speaker 1: they are frustrated, and there are questions about free speech 409 00:20:39,359 --> 00:20:41,760 Speaker 1: that there are questions about whether these tech companies are 410 00:20:41,760 --> 00:20:45,200 Speaker 1: doing the right things, but most importantly, there are questions 411 00:20:45,280 --> 00:20:49,560 Speaker 1: about you know, like racism and the deep rooted pain 412 00:20:49,680 --> 00:20:52,400 Speaker 1: this country is in and you want and so I've 413 00:20:52,440 --> 00:20:54,880 Speaker 1: always looked at it, and this is my way into 414 00:20:54,880 --> 00:20:58,119 Speaker 1: it to saying, Okay, well, what I know best is 415 00:20:58,119 --> 00:21:00,840 Speaker 1: is Silicon Valley and a lot of these powerful, yeah, 416 00:21:01,359 --> 00:21:05,520 Speaker 1: mostly truthfully white men at the top. Right, what are 417 00:21:05,520 --> 00:21:08,359 Speaker 1: the questions, as someone who's been in a room with 418 00:21:08,400 --> 00:21:10,679 Speaker 1: a lot of these people too, what are the questions 419 00:21:10,760 --> 00:21:12,440 Speaker 1: we need to ask those people right now? 420 00:21:12,560 --> 00:21:14,680 Speaker 2: Yeah? I mean, you know, I have a call later 421 00:21:14,760 --> 00:21:19,080 Speaker 2: today with a CEO of a Silicon Valley Unicorn because I, 422 00:21:19,840 --> 00:21:21,640 Speaker 2: you know, use the product. I know the product well. 423 00:21:21,760 --> 00:21:24,480 Speaker 2: And I noticed that they hadn't said anything about what's 424 00:21:24,520 --> 00:21:26,960 Speaker 2: going on, and they had, you know, they were promoting 425 00:21:27,040 --> 00:21:30,320 Speaker 2: multiple webinars that they had coming up in the zoom age, right, 426 00:21:30,600 --> 00:21:33,040 Speaker 2: and they were all white men, and like, one, it's 427 00:21:33,080 --> 00:21:35,879 Speaker 2: twenty twenty, we don't do that anymore, and two, like 428 00:21:36,000 --> 00:21:38,159 Speaker 2: this week, we're really not doing that this week? Right, 429 00:21:38,160 --> 00:21:39,679 Speaker 2: So I reached out and I was like, what's happening? 430 00:21:40,080 --> 00:21:42,440 Speaker 2: And you know, it's going to be an interesting conversation, 431 00:21:42,520 --> 00:21:45,640 Speaker 2: but my general guidance is we don't do this anymore. 432 00:21:46,000 --> 00:21:48,520 Speaker 2: And when you don't do something anymore, then you just 433 00:21:48,600 --> 00:21:51,359 Speaker 2: stop and then you start to think about what we 434 00:21:51,400 --> 00:21:54,360 Speaker 2: do do right, So, like we don't travel anymore. Right now, 435 00:21:54,400 --> 00:21:57,200 Speaker 2: we don't travel. And it seemed impossible if you'd told 436 00:21:57,240 --> 00:22:00,240 Speaker 2: anybody on February first that you will not be on 437 00:22:00,280 --> 00:22:02,960 Speaker 2: a plane from March fifteenth until god knows when, people 438 00:22:02,960 --> 00:22:06,720 Speaker 2: would have said that's impossible, that's impossible, possible. The impossible 439 00:22:06,760 --> 00:22:09,440 Speaker 2: has become possible, right so we know how quickly things 440 00:22:09,480 --> 00:22:11,800 Speaker 2: can change, but you have to have the will to 441 00:22:11,880 --> 00:22:14,280 Speaker 2: do it right. And so I think that what these 442 00:22:14,320 --> 00:22:17,200 Speaker 2: companies and what these powerful people to your point, who 443 00:22:17,200 --> 00:22:20,199 Speaker 2: are disproportionately white and male, are going to have to 444 00:22:20,240 --> 00:22:22,760 Speaker 2: grapple with it's far past time they grapple with it. 445 00:22:22,800 --> 00:22:24,199 Speaker 2: But I think what they're going to have to grapple 446 00:22:24,240 --> 00:22:29,080 Speaker 2: with is, Okay, this isn't working. And our employees are 447 00:22:29,080 --> 00:22:31,280 Speaker 2: telling us it's not working. The press is highness, it's 448 00:22:31,280 --> 00:22:33,760 Speaker 2: not working. The protests are telling it's not working. This 449 00:22:33,920 --> 00:22:36,679 Speaker 2: isn't working. And candidly, you know, even if they're not 450 00:22:36,720 --> 00:22:39,560 Speaker 2: out there protesting, they're feeling the pain too, and that 451 00:22:39,680 --> 00:22:41,960 Speaker 2: like most of the country right now in major cities 452 00:22:41,960 --> 00:22:45,040 Speaker 2: can't leave their homes at night. We are under curfews 453 00:22:45,119 --> 00:22:47,439 Speaker 2: in a way that like, this isn't something that I 454 00:22:47,480 --> 00:22:50,040 Speaker 2: think very many people at all are comfortable with having 455 00:22:50,080 --> 00:22:52,639 Speaker 2: happened in our countries. So when you think about it 456 00:22:52,680 --> 00:22:55,560 Speaker 2: that way, this is impacting you as well. Right, we 457 00:22:55,560 --> 00:22:57,199 Speaker 2: can hear sirens on one of our ends in the 458 00:22:57,200 --> 00:23:01,359 Speaker 2: background right now, So I think, sorry, everybody, Yeah, but 459 00:23:01,400 --> 00:23:04,440 Speaker 2: that's the thing, right, like, is it is not working right, 460 00:23:04,440 --> 00:23:06,800 Speaker 2: It's not working for this podcast, it's not working for us. 461 00:23:06,840 --> 00:23:10,400 Speaker 2: And so I hope that as that becomes apparent to them, 462 00:23:10,760 --> 00:23:13,600 Speaker 2: they realize that the time is passed where they can say, 463 00:23:13,840 --> 00:23:16,199 Speaker 2: do we think we should act? And the answer is 464 00:23:16,440 --> 00:23:19,800 Speaker 2: we have to act right. Our customers are not letting 465 00:23:19,880 --> 00:23:23,040 Speaker 2: us not act. The things that I've heard from various 466 00:23:23,040 --> 00:23:25,480 Speaker 2: reporters and friends, you know, like you said, I'm the 467 00:23:25,720 --> 00:23:30,280 Speaker 2: confessional booth of Silicon Valley. I've heard so much unrested 468 00:23:30,320 --> 00:23:32,480 Speaker 2: going on inside of companies. It doesn't hit the news 469 00:23:32,640 --> 00:23:35,840 Speaker 2: where people are just mad. And the problem is when 470 00:23:35,840 --> 00:23:38,800 Speaker 2: you have an entire workforce, it's remote and they're just mad. 471 00:23:39,000 --> 00:23:41,280 Speaker 2: They don't really have to pretend to be working right. 472 00:23:41,359 --> 00:23:43,600 Speaker 2: They don't really have to put on their A game. 473 00:23:43,920 --> 00:23:46,120 Speaker 2: They just oh, sorry, I missed the email at noon 474 00:23:46,160 --> 00:23:47,720 Speaker 2: on Friday. What are you going to do? You can't 475 00:23:47,720 --> 00:23:50,040 Speaker 2: walk over to their desk. And so I think that 476 00:23:50,080 --> 00:23:53,320 Speaker 2: there is a business imperative, and I think that there 477 00:23:53,400 --> 00:23:55,840 Speaker 2: is a moral imperative, and I think that Silicon Valley 478 00:23:56,240 --> 00:23:57,800 Speaker 2: can't sit this out any longer. 479 00:23:58,880 --> 00:24:01,760 Speaker 1: You know. It's interesting. I heard from a friend of 480 00:24:01,760 --> 00:24:03,760 Speaker 1: mine who works out one of the big tech companies, 481 00:24:03,760 --> 00:24:07,080 Speaker 1: and I won't say which one, but she is a 482 00:24:07,119 --> 00:24:10,840 Speaker 1: woman and a minority and had to in this reapply 483 00:24:11,200 --> 00:24:14,600 Speaker 1: for her job, you know. And some of the men 484 00:24:14,640 --> 00:24:17,920 Speaker 1: in her unit did not have to, but the women 485 00:24:17,960 --> 00:24:18,720 Speaker 1: of color did. 486 00:24:19,040 --> 00:24:19,560 Speaker 2: She did. 487 00:24:20,040 --> 00:24:24,400 Speaker 3: And also this week of all weeks in New York, 488 00:24:24,840 --> 00:24:27,720 Speaker 3: you know, and she had to do an interview over 489 00:24:27,800 --> 00:24:30,840 Speaker 3: zoom and and with with people on the other end 490 00:24:31,119 --> 00:24:32,040 Speaker 3: just saying, hey, how are you. 491 00:24:32,400 --> 00:24:35,280 Speaker 1: And it just seems like, you know, and it just 492 00:24:35,320 --> 00:24:39,920 Speaker 1: seems like sometimes there's this this disconnect between Silicon Valley 493 00:24:39,920 --> 00:24:41,399 Speaker 1: and the idea that we can do good and that 494 00:24:41,440 --> 00:24:42,960 Speaker 1: we are changing the world for the best and we 495 00:24:43,000 --> 00:24:45,639 Speaker 1: are going to have the good outcome. And then, you know, 496 00:24:45,760 --> 00:24:48,760 Speaker 1: maybe I sit here passionately talking about it because you 497 00:24:48,800 --> 00:24:51,399 Speaker 1: can hear it outside and you can see it, and 498 00:24:51,480 --> 00:24:53,680 Speaker 1: I have, you know, even the privilege of being inside 499 00:24:53,840 --> 00:24:56,719 Speaker 1: at the current moment talking to you. But you know, 500 00:24:57,160 --> 00:25:00,080 Speaker 1: there's still that that disconnect that I hope that but 501 00:25:00,920 --> 00:25:05,080 Speaker 1: you know that things really that really do change in 502 00:25:05,119 --> 00:25:07,959 Speaker 1: some capacity, that this is a sea change for that 503 00:25:08,040 --> 00:25:08,560 Speaker 1: kind of thing. 504 00:25:08,680 --> 00:25:11,080 Speaker 2: Yeah, yeah, And that's the thing, right, it needs to be, 505 00:25:11,080 --> 00:25:13,760 Speaker 2: because I mean, you know, that woman's experience sounds horrific, 506 00:25:13,800 --> 00:25:17,439 Speaker 2: but the thing is that people around her are seeing 507 00:25:17,440 --> 00:25:19,919 Speaker 2: that as well. A friend works at a company, actually 508 00:25:20,080 --> 00:25:22,400 Speaker 2: a startup in New York, and it's a big startup, 509 00:25:22,560 --> 00:25:25,240 Speaker 2: very well funded. They're doing very well, and they talk 510 00:25:25,320 --> 00:25:27,399 Speaker 2: about you know, the values that they have on their 511 00:25:27,440 --> 00:25:30,240 Speaker 2: posters right on their wall, or you know, about equality 512 00:25:30,240 --> 00:25:32,879 Speaker 2: and freedom and all these things. And they hadn't spoken 513 00:25:32,960 --> 00:25:35,320 Speaker 2: up on this issue and they hadn't done anything about it. 514 00:25:35,320 --> 00:25:37,679 Speaker 2: And the founders, you know, are very successful, and so 515 00:25:38,400 --> 00:25:40,960 Speaker 2: you know, one of the engineers, a white man, right, 516 00:25:41,080 --> 00:25:43,719 Speaker 2: went to their slack channel and messaged the entire company 517 00:25:43,760 --> 00:25:45,520 Speaker 2: and said, like, are we not going to talk about this? 518 00:25:45,840 --> 00:25:48,119 Speaker 2: Are we going to pretend like this isn't happening, and 519 00:25:48,160 --> 00:25:52,480 Speaker 2: it's spurred action right within a day. Immediately the founder said, hey, actually, 520 00:25:52,520 --> 00:25:54,439 Speaker 2: you know we're working out. Of course, we're working on it, right, 521 00:25:54,480 --> 00:25:56,720 Speaker 2: You're just you caught us a couple of minutes beforehand. 522 00:25:56,720 --> 00:25:59,240 Speaker 2: We're working on it. They had to release a statement internally, 523 00:25:59,280 --> 00:26:02,160 Speaker 2: they did their extra statement. They're doing fund matching, they're 524 00:26:02,160 --> 00:26:05,199 Speaker 2: doing donations, they're elevating advices of color. So you know, 525 00:26:05,240 --> 00:26:08,560 Speaker 2: and that's just one one guy writing candidly. The fact 526 00:26:08,560 --> 00:26:11,560 Speaker 2: that it was a white guy who did it is probably, 527 00:26:11,720 --> 00:26:14,000 Speaker 2: you know, one of the more powerful things you can do. Right, So, 528 00:26:14,040 --> 00:26:16,240 Speaker 2: if you're listening to this and you have a ton 529 00:26:16,280 --> 00:26:18,479 Speaker 2: of privilege, and you know, you're like, how do I 530 00:26:18,520 --> 00:26:21,320 Speaker 2: spend it? Like yes, donate, Yes, you know, go out 531 00:26:21,320 --> 00:26:23,320 Speaker 2: and protest if that's if that's what works for you. 532 00:26:23,320 --> 00:26:25,560 Speaker 2: You know, talk on social media, be incredibly clear, have 533 00:26:25,640 --> 00:26:28,480 Speaker 2: conversations with your friends, right when somebody makes a joke 534 00:26:28,560 --> 00:26:30,720 Speaker 2: or says a thing like shut them down and make 535 00:26:30,760 --> 00:26:33,040 Speaker 2: it clear that this is not okay, this is not welcome. 536 00:26:33,320 --> 00:26:35,520 Speaker 2: But you can also do that in your workplace, right 537 00:26:35,600 --> 00:26:39,320 Speaker 2: And you mentioned Facebook, and if change comes to Facebook 538 00:26:39,359 --> 00:26:42,080 Speaker 2: from this, it's likely going to be because a bunch 539 00:26:42,160 --> 00:26:45,159 Speaker 2: of very highly paid white guys say, you know what, No, 540 00:26:45,560 --> 00:26:47,240 Speaker 2: this isn't going to work. We are done. 541 00:26:48,080 --> 00:26:50,719 Speaker 1: Well. You know what's really interesting about if you look 542 00:26:50,760 --> 00:26:52,440 Speaker 1: at the petition or some of these employees who are 543 00:26:52,440 --> 00:26:54,480 Speaker 1: talking about whether you agree with whether they're saying or 544 00:26:54,520 --> 00:26:56,880 Speaker 1: not about the company's stance on free speech. But there's 545 00:26:56,880 --> 00:26:59,560 Speaker 1: a lot of unrest at the company right now and 546 00:26:59,600 --> 00:27:01,520 Speaker 1: a lot of that. You know, if you look at 547 00:27:01,520 --> 00:27:02,959 Speaker 1: some of the you know, it's like the head designer 548 00:27:02,960 --> 00:27:05,000 Speaker 1: for portal, the white man. Yeah, you know, the guy 549 00:27:05,000 --> 00:27:07,520 Speaker 1: who resigned white man, you know, I mean, and by 550 00:27:07,560 --> 00:27:10,520 Speaker 1: the way, the company. You know, there are diversity issues 551 00:27:10,560 --> 00:27:12,960 Speaker 1: at every major teach company. So it is interesting to 552 00:27:13,000 --> 00:27:16,840 Speaker 1: see that some of the people speaking out around this 553 00:27:16,960 --> 00:27:20,000 Speaker 1: moment in Silicon Valley are exactly kind of how you described. 554 00:27:20,280 --> 00:27:23,919 Speaker 2: Yeah yeah, And that that I think matters because it 555 00:27:24,119 --> 00:27:28,000 Speaker 2: shows you know, that this isn't a siloed thing. One 556 00:27:28,160 --> 00:27:30,480 Speaker 2: if you don't feel like there's enough of an imperative 557 00:27:30,760 --> 00:27:33,600 Speaker 2: to care about people's lives just because it's not you. 558 00:27:33,720 --> 00:27:35,919 Speaker 2: I mean, you as a Jewish woman, understand this, you know, 559 00:27:36,160 --> 00:27:39,120 Speaker 2: very deeply, right, it's not okay to say that group 560 00:27:39,160 --> 00:27:41,840 Speaker 2: of people you know, can be treated this way because 561 00:27:41,880 --> 00:27:44,800 Speaker 2: it's not me. That isn't okay. But even more than 562 00:27:44,800 --> 00:27:47,320 Speaker 2: that is it's not just impacting that group of people. 563 00:27:47,400 --> 00:27:49,840 Speaker 2: We're all under curfews, right. There are people at these 564 00:27:49,840 --> 00:27:52,800 Speaker 2: companies who are speaking out who candidly you know, they 565 00:27:52,840 --> 00:27:55,560 Speaker 2: don't they don't need to for their own survival. But 566 00:27:55,960 --> 00:27:58,760 Speaker 2: that isn't you know where they're coming from. They're coming 567 00:27:58,800 --> 00:28:01,439 Speaker 2: from a place of humanity of isn't okay. And I 568 00:28:01,480 --> 00:28:03,400 Speaker 2: think for these big tech companies, I think for these 569 00:28:03,440 --> 00:28:06,480 Speaker 2: big funds, as that happens, they're going to realize that 570 00:28:06,560 --> 00:28:09,119 Speaker 2: they have to reckon with it, and not even because 571 00:28:09,119 --> 00:28:11,120 Speaker 2: it's the right thing to do, but because it's very 572 00:28:11,119 --> 00:28:13,399 Speaker 2: hard to run a tech company if all your senior 573 00:28:13,440 --> 00:28:15,160 Speaker 2: and best people are quitting. 574 00:28:15,400 --> 00:28:19,320 Speaker 1: Yeah, listen, I very much hope that like all of 575 00:28:19,359 --> 00:28:22,440 Speaker 1: this comes true. Yeah, you know, I just think it's 576 00:28:22,680 --> 00:28:24,960 Speaker 1: time the world as a whole and then where I 577 00:28:24,960 --> 00:28:27,520 Speaker 1: look at the through the lens like in tech, because 578 00:28:27,560 --> 00:28:30,119 Speaker 1: I think tech products influence the world. Like we're at 579 00:28:30,119 --> 00:28:33,439 Speaker 1: a moment where all of us are having to move 580 00:28:33,480 --> 00:28:35,879 Speaker 1: online in these different ways, there will be even more 581 00:28:36,520 --> 00:28:38,760 Speaker 1: issues with the haves and the have nots and people 582 00:28:38,840 --> 00:28:43,000 Speaker 1: having access to online education. And if we don't have 583 00:28:43,040 --> 00:28:46,640 Speaker 1: a diverse group of perspectives in these tech companies that 584 00:28:46,680 --> 00:28:48,360 Speaker 1: are going to be leading the charge into what a 585 00:28:48,400 --> 00:28:51,880 Speaker 1: post pandemic world looks like, we're going to have even 586 00:28:51,920 --> 00:28:55,720 Speaker 1: more issues that are going to disproportionately impact minorities. And 587 00:28:55,760 --> 00:28:58,360 Speaker 1: I think when I look at that, I think, well, 588 00:28:58,360 --> 00:29:01,880 Speaker 1: that's terrifying, and so we've got to start thinking about 589 00:29:01,880 --> 00:29:03,040 Speaker 1: that kind of thing as well. 590 00:29:03,240 --> 00:29:06,160 Speaker 2: Yeah, exactly. I mean, the thing is the world doesn't 591 00:29:06,600 --> 00:29:08,920 Speaker 2: work right, Like if you look at COVID, and there 592 00:29:08,920 --> 00:29:11,400 Speaker 2: were a lot of countries where there were crazy outbreaks 593 00:29:11,400 --> 00:29:14,760 Speaker 2: of COVID, and it was traced back to the fact 594 00:29:14,760 --> 00:29:16,920 Speaker 2: that you know, in certain places, and certainly this happens 595 00:29:16,960 --> 00:29:18,720 Speaker 2: in the US as well, right, And this is partially 596 00:29:18,760 --> 00:29:21,200 Speaker 2: why you saw crazy outbreaks of COVID around like ski 597 00:29:21,240 --> 00:29:23,920 Speaker 2: resorts and stuff. Is if you work in an industry, 598 00:29:24,160 --> 00:29:27,600 Speaker 2: a service industry job where you are in very close 599 00:29:27,600 --> 00:29:30,320 Speaker 2: proximity to everybody else in your service industry job. Right. 600 00:29:30,360 --> 00:29:33,240 Speaker 2: So the examples were, you know, places where all of 601 00:29:33,920 --> 00:29:36,280 Speaker 2: the weight staff or all of the service staff you know, 602 00:29:36,400 --> 00:29:40,440 Speaker 2: is maybe bunked together, right in like kind of dorm style. Well, okay, 603 00:29:40,720 --> 00:29:43,360 Speaker 2: so you are you know, probably somebody who doesn't have 604 00:29:43,400 --> 00:29:47,080 Speaker 2: as much money, and you are maybe disproportionally somebody who 605 00:29:47,400 --> 00:29:51,080 Speaker 2: is a person of color. On top of that, guess 606 00:29:51,160 --> 00:29:54,320 Speaker 2: who weight staff serves, right, And so you'd see these 607 00:29:54,360 --> 00:29:56,560 Speaker 2: things where people are coming back from the Swiss Olts 608 00:29:56,760 --> 00:29:59,560 Speaker 2: dying of COVID because they're an incredibly privileged you know, 609 00:29:59,600 --> 00:30:01,960 Speaker 2: once star, I don't have all the details top of mind, 610 00:30:01,960 --> 00:30:04,520 Speaker 2: but like I remember reading one story about a group 611 00:30:04,560 --> 00:30:06,640 Speaker 2: of like three or four guy friends, right white men 612 00:30:06,680 --> 00:30:08,320 Speaker 2: in their fifties, who had gone to like the Alps 613 00:30:08,360 --> 00:30:11,360 Speaker 2: to go skiing and great fun. I love to go, right, 614 00:30:11,440 --> 00:30:13,680 Speaker 2: And then they got back and they all got sick 615 00:30:13,720 --> 00:30:17,280 Speaker 2: and one of them died. So the fact that, you know, 616 00:30:17,360 --> 00:30:20,600 Speaker 2: if you're not taking care of the most vulnerable populations, 617 00:30:20,920 --> 00:30:24,360 Speaker 2: it's not just them, right, and and one it's more 618 00:30:24,400 --> 00:30:26,280 Speaker 2: than enough if it is just them, Like people are 619 00:30:26,280 --> 00:30:28,560 Speaker 2: people and people deserve to live. But it's also going 620 00:30:28,600 --> 00:30:31,200 Speaker 2: to impact you. And so you know that I think 621 00:30:31,280 --> 00:30:33,400 Speaker 2: is a real wake up call for people to realize. Like, 622 00:30:33,720 --> 00:30:36,040 Speaker 2: you know, there's a famous quote that I think is 623 00:30:36,040 --> 00:30:38,560 Speaker 2: an African proverb that like Hillary Clinton of all people 624 00:30:38,560 --> 00:30:41,200 Speaker 2: I think repopularized in the nineties. Right, there's no such 625 00:30:41,240 --> 00:30:43,360 Speaker 2: thing as other people's children, There's no such thing as 626 00:30:43,360 --> 00:30:46,240 Speaker 2: other people's anything. Right. You know, a virus that started 627 00:30:46,280 --> 00:30:49,720 Speaker 2: halfway across the world has killed over one hundred thousand Americans, right, 628 00:30:50,040 --> 00:30:52,960 Speaker 2: And everything is global. And until you understand that, like 629 00:30:53,000 --> 00:30:56,440 Speaker 2: what's hurts somebody somewhere hurts everybody everywhere. You know, we're 630 00:30:56,440 --> 00:31:01,719 Speaker 2: going to keep having these these deeply equal outcomes, but 631 00:31:01,800 --> 00:31:04,280 Speaker 2: they're going to hurt you too. And so that I 632 00:31:04,360 --> 00:31:07,880 Speaker 2: think is hopefully something that you know, people are seeing 633 00:31:07,960 --> 00:31:10,560 Speaker 2: with COVID, that people are seeing with these protests, that 634 00:31:10,560 --> 00:31:13,640 Speaker 2: that people remember and don't forget. Right, if you don't 635 00:31:13,640 --> 00:31:16,280 Speaker 2: care about black lives, like, that's on you. But if 636 00:31:16,320 --> 00:31:18,320 Speaker 2: you care about your own life and you you want 637 00:31:18,360 --> 00:31:19,880 Speaker 2: to be able to leave your house at nine pm 638 00:31:19,880 --> 00:31:21,840 Speaker 2: at night in the next few months, then like you 639 00:31:21,920 --> 00:31:22,960 Speaker 2: might want to get on board. 640 00:31:24,800 --> 00:31:28,400 Speaker 1: That's such a powerful statement. And I do think like, man, 641 00:31:28,480 --> 00:31:30,840 Speaker 1: if this doesn't make you care about all of this, 642 00:31:30,960 --> 00:31:32,240 Speaker 1: I don't know what well, you know. 643 00:31:32,320 --> 00:31:34,280 Speaker 2: I don't know what that is, Yes, I don't know. 644 00:31:34,320 --> 00:31:36,880 Speaker 1: I really like this is boss level, Like I just 645 00:31:36,920 --> 00:31:43,360 Speaker 1: don't know what well at the pdpoint, Okay, we've got 646 00:31:43,360 --> 00:31:45,240 Speaker 1: to take a quick break to hear from our sponsors 647 00:31:45,360 --> 00:32:03,520 Speaker 1: more with my guests. After the break, you created Cleo Capital, 648 00:32:03,640 --> 00:32:05,720 Speaker 1: Like at the time, it's been so cool to watch 649 00:32:05,760 --> 00:32:11,120 Speaker 1: you throughout the years be very vocal about women, minorities 650 00:32:11,440 --> 00:32:13,720 Speaker 1: and kind of breaking into the boys club in Silicon 651 00:32:13,800 --> 00:32:16,920 Speaker 1: Valley and fighting for certain causes and saying, hey, we've 652 00:32:16,920 --> 00:32:18,680 Speaker 1: got a problem, and even by the way, in your 653 00:32:18,720 --> 00:32:21,719 Speaker 1: own personal life, having at one point an investor doing 654 00:32:21,760 --> 00:32:23,719 Speaker 1: something inappropriate to you and you saying, you know what, 655 00:32:23,960 --> 00:32:26,560 Speaker 1: like I'm just not gonna sit her and take this, 656 00:32:27,000 --> 00:32:31,520 Speaker 1: and you spoke out publicly, and so you know, it's 657 00:32:31,520 --> 00:32:35,520 Speaker 1: been interesting to watch throughout the years and you really 658 00:32:36,040 --> 00:32:38,880 Speaker 1: not develop You've always had that voice. Yeah, when was 659 00:32:38,920 --> 00:32:41,560 Speaker 1: it that you launched Cleo It was twenty eighteen or 660 00:32:41,560 --> 00:32:42,280 Speaker 1: twenty nineteen. 661 00:32:42,560 --> 00:32:46,480 Speaker 2: Yep, so twenty eighteen and we've been going strong for 662 00:32:46,560 --> 00:32:47,640 Speaker 2: about a year and a half now. 663 00:32:48,360 --> 00:32:50,400 Speaker 1: So take me to the idea behind CLEO, because I 664 00:32:50,480 --> 00:32:52,480 Speaker 1: remember when you I feel like I gave you that 665 00:32:52,520 --> 00:32:55,320 Speaker 1: whole backstory to kind of give little pieces about like 666 00:32:55,640 --> 00:32:57,680 Speaker 1: this didn't just come out of like, oh, I think 667 00:32:57,680 --> 00:33:00,200 Speaker 1: I want to help women or you know, I just 668 00:33:00,200 --> 00:33:02,640 Speaker 1: feel like it was always in your DNA that you 669 00:33:02,680 --> 00:33:06,720 Speaker 1: were going to do something like launch an investment fund 670 00:33:06,760 --> 00:33:09,520 Speaker 1: to help different types of people, you know, not the 671 00:33:09,560 --> 00:33:13,480 Speaker 1: typical Silicon Valley dynamic get funding. So so take me 672 00:33:13,520 --> 00:33:16,200 Speaker 1: to the thought process behind it and why you launched 673 00:33:16,240 --> 00:33:17,040 Speaker 1: and what it is. Yeah. 674 00:33:17,080 --> 00:33:21,000 Speaker 2: So you know, Cleo Capital is a precede venture fund 675 00:33:21,240 --> 00:33:24,240 Speaker 2: and we don't have a mandate around race or gender 676 00:33:24,240 --> 00:33:27,760 Speaker 2: in terms of diversity investing. We just invested incredibly smart people. 677 00:33:28,160 --> 00:33:31,240 Speaker 2: And turns out that the women and minorities and members 678 00:33:31,240 --> 00:33:33,480 Speaker 2: of the LGBTQ community and people from all over the 679 00:33:33,520 --> 00:33:36,160 Speaker 2: country right not just Silicon Valley or New York, are 680 00:33:36,200 --> 00:33:39,520 Speaker 2: incredibly smart and they're building incredible companies. And so you know, 681 00:33:39,640 --> 00:33:42,600 Speaker 2: for us, that is easy because to your point, that's 682 00:33:42,640 --> 00:33:44,640 Speaker 2: in our DNA, that's what we believe, and that's in 683 00:33:44,680 --> 00:33:46,480 Speaker 2: those people flock to us, and that's what we do. 684 00:33:47,160 --> 00:33:48,920 Speaker 2: In terms of the fund. You know, I had been 685 00:33:48,960 --> 00:33:51,760 Speaker 2: at a large venture capital fund years ago and then 686 00:33:51,880 --> 00:33:54,640 Speaker 2: left and went and started a company and raised venture 687 00:33:54,640 --> 00:33:57,360 Speaker 2: capital for that and saw all the challenges that there 688 00:33:57,440 --> 00:34:00,160 Speaker 2: is in doing that period much less you know, as 689 00:34:00,160 --> 00:34:02,840 Speaker 2: a woman, as a black woman and it was really interesting, 690 00:34:02,840 --> 00:34:06,280 Speaker 2: eye opening experience. And you know, I then was tapped 691 00:34:06,320 --> 00:34:10,560 Speaker 2: by two sort of very different but very interesting opportunities. 692 00:34:10,600 --> 00:34:12,439 Speaker 2: One was I was on a board at Michigan State 693 00:34:12,520 --> 00:34:14,920 Speaker 2: University where I went to college, and I was on 694 00:34:14,960 --> 00:34:17,520 Speaker 2: a board to help them do their LP investing, so 695 00:34:17,600 --> 00:34:20,720 Speaker 2: to help them allocate into you know, venture funch, hedge funds, 696 00:34:20,719 --> 00:34:22,560 Speaker 2: all of that, and so I learned a lot about 697 00:34:22,840 --> 00:34:25,440 Speaker 2: that side of the equation, which is often kind of 698 00:34:25,440 --> 00:34:29,279 Speaker 2: a mystery even to very experienced fund managers. So I 699 00:34:29,280 --> 00:34:31,320 Speaker 2: got to sit in that seat. And then I also 700 00:34:31,440 --> 00:34:33,840 Speaker 2: on the other side, you know, as a scout for Sequoia, 701 00:34:34,600 --> 00:34:37,720 Speaker 2: and was seeing you know, how scouting works, which scout 702 00:34:37,760 --> 00:34:42,960 Speaker 2: investing basically is when a bigger fund says, hey, you know, 703 00:34:43,040 --> 00:34:45,320 Speaker 2: we know all these smart, brilliant people on our networks 704 00:34:45,440 --> 00:34:50,040 Speaker 2: who aren't personally liquid yet they can't actually angel invest 705 00:34:50,280 --> 00:34:52,359 Speaker 2: or they can't angel invest why don't we fund their 706 00:34:52,400 --> 00:34:55,759 Speaker 2: angel investing. You know, they'll find us amazing deals and 707 00:34:55,840 --> 00:34:57,640 Speaker 2: that we might end up wanting to put money into 708 00:34:57,680 --> 00:34:59,680 Speaker 2: as well, and then we'll split the proceeds. And so 709 00:35:00,080 --> 00:35:03,040 Speaker 2: that's scout investing. I was a scout at Sequoia. You know, 710 00:35:03,120 --> 00:35:05,160 Speaker 2: my company had run out of money. I was winding 711 00:35:05,200 --> 00:35:06,880 Speaker 2: it down, kind of thinking about what I wanted to 712 00:35:06,920 --> 00:35:09,640 Speaker 2: do next, and I was really bothered that, you know, 713 00:35:09,680 --> 00:35:11,760 Speaker 2: I was scout investing. So I'd call my female founder 714 00:35:11,840 --> 00:35:14,000 Speaker 2: friends and because they're you know, my closest friends, and 715 00:35:14,040 --> 00:35:16,600 Speaker 2: I would say, hey, you know, I'm angel investing. Now, 716 00:35:16,600 --> 00:35:20,160 Speaker 2: I'm scout investing. You know, can you send me deal flow? 717 00:35:20,239 --> 00:35:20,359 Speaker 1: Right? 718 00:35:20,400 --> 00:35:23,040 Speaker 2: What are you investing? And these are brilliant women, many 719 00:35:23,080 --> 00:35:25,000 Speaker 2: of whom you're friends with as well, who've been in 720 00:35:25,000 --> 00:35:27,760 Speaker 2: this industry for a long time. They're you know, super smart, 721 00:35:27,960 --> 00:35:30,440 Speaker 2: they've had success, some success, but they all said, oh, 722 00:35:30,440 --> 00:35:32,120 Speaker 2: we don't angel invest I'm like why, Like, they're not 723 00:35:32,160 --> 00:35:35,200 Speaker 2: personally liquid, right, because they're raising so much less money 724 00:35:35,239 --> 00:35:37,760 Speaker 2: at lower valuations, it's harder to take money off the table. 725 00:35:37,920 --> 00:35:40,600 Speaker 2: They're less likely, you know, to be getting hired into 726 00:35:40,600 --> 00:35:42,960 Speaker 2: these big tech companies to begin with and getting those 727 00:35:42,960 --> 00:35:45,719 Speaker 2: big paydays. They're less likely to be made advisors at companies, 728 00:35:45,920 --> 00:35:47,680 Speaker 2: so that then when they are excess that they're getting 729 00:35:47,680 --> 00:35:50,040 Speaker 2: some of that free cash flow that funds most of 730 00:35:50,040 --> 00:35:52,799 Speaker 2: the angel investing in Silicon Valley. So they weren't really 731 00:35:52,800 --> 00:35:54,880 Speaker 2: angel investing. I was like, okay, that makes sense, but 732 00:35:54,880 --> 00:35:57,359 Speaker 2: then why aren't you scout investing? And all of them 733 00:35:57,360 --> 00:35:59,080 Speaker 2: looked at me and said, what's a scout? And so 734 00:35:59,120 --> 00:36:01,160 Speaker 2: I started doing some digging, and I found out that 735 00:36:01,239 --> 00:36:03,799 Speaker 2: you know that there are about five ish firms at 736 00:36:03,800 --> 00:36:06,280 Speaker 2: any given time that have Scout programs in Silicon Valley, 737 00:36:06,640 --> 00:36:12,120 Speaker 2: and all of them have by far predominantly men, and 738 00:36:12,360 --> 00:36:15,880 Speaker 2: they're also relatively you know, pretty and diverse. Right, so 739 00:36:16,160 --> 00:36:18,560 Speaker 2: I was shocked to hear this. I shouldn't be shocked 740 00:36:18,560 --> 00:36:20,600 Speaker 2: that sometimes, you know, we still get shocked by the 741 00:36:20,600 --> 00:36:23,200 Speaker 2: things that are probably obvious at this point. And so 742 00:36:23,600 --> 00:36:26,560 Speaker 2: I was really bothered that I knew all these amazing, 743 00:36:26,600 --> 00:36:29,920 Speaker 2: brilliant women who are insanely well connected, and you know, 744 00:36:30,120 --> 00:36:33,520 Speaker 2: they weren't able to angel invest. And so my thought, 745 00:36:33,640 --> 00:36:37,920 Speaker 2: what I said, was, you know, why not give them 746 00:36:37,960 --> 00:36:40,480 Speaker 2: the opportunity to angel invest? Why not give them money? 747 00:36:40,719 --> 00:36:43,200 Speaker 2: And I was thinking about joining larger funds, and even 748 00:36:43,239 --> 00:36:46,600 Speaker 2: post me too, I wasn't wildly impressed by what I 749 00:36:46,640 --> 00:36:49,080 Speaker 2: was seeing at the bigger funds in terms of their 750 00:36:49,120 --> 00:36:51,719 Speaker 2: their commitments to diversity, how they were treating diverse audiences. 751 00:36:51,760 --> 00:36:54,200 Speaker 2: All of that, so you know, I decided to launch 752 00:36:54,239 --> 00:36:57,520 Speaker 2: my own fund, and you know, we invest in anyone. 753 00:36:57,600 --> 00:36:59,960 Speaker 2: I invest in anyone. My Scout's invest in anyone. But 754 00:37:00,040 --> 00:37:03,440 Speaker 2: my Scouts are an amazing group of women who are 755 00:37:03,440 --> 00:37:06,799 Speaker 2: female founders. They've raised between five and fifty million themselves. 756 00:37:07,040 --> 00:37:10,000 Speaker 2: They're backed by top funds, they co invest with top funds, 757 00:37:10,239 --> 00:37:13,759 Speaker 2: and it's working. The two best performing investments in our 758 00:37:13,800 --> 00:37:17,160 Speaker 2: fund right now, one is two female founders, one of 759 00:37:17,200 --> 00:37:20,000 Speaker 2: whom is a woman of color, and the other is 760 00:37:20,120 --> 00:37:23,560 Speaker 2: you know, two male founders, but they are you know, 761 00:37:23,560 --> 00:37:26,000 Speaker 2: they're both immigrants and one is a man of color, 762 00:37:26,040 --> 00:37:29,080 Speaker 2: and so it works, right. And we didn't do those 763 00:37:29,120 --> 00:37:31,319 Speaker 2: deals because of that. We did those deals because they're 764 00:37:31,320 --> 00:37:34,240 Speaker 2: great deals. And we have top tier investors who followed 765 00:37:34,280 --> 00:37:36,640 Speaker 2: us into both of those deals and they're you know, 766 00:37:36,680 --> 00:37:40,040 Speaker 2: they're doing incredibly well because these people, like, the talent 767 00:37:40,200 --> 00:37:42,600 Speaker 2: is out there and it doesn't need training, It is ready. 768 00:37:42,640 --> 00:37:45,080 Speaker 2: It just needs capital, and it's awesome to be a 769 00:37:45,080 --> 00:37:45,759 Speaker 2: part of doing that. 770 00:37:46,480 --> 00:37:49,440 Speaker 1: Yeah. And you I think, as when all of this 771 00:37:49,600 --> 00:37:53,760 Speaker 1: happened with coronavirus, you put out a program for folks 772 00:37:53,760 --> 00:37:57,000 Speaker 1: who were laid off. You know, can you tell us 773 00:37:57,000 --> 00:37:58,600 Speaker 1: a little bit about that. I feel like that could 774 00:37:58,640 --> 00:37:59,760 Speaker 1: be a good resource for folks. 775 00:37:59,800 --> 00:38:03,200 Speaker 2: Yeah, so that was something that we put together very quickly. 776 00:38:03,680 --> 00:38:07,960 Speaker 2: And you know, investors generally say, actually, the last business 777 00:38:08,000 --> 00:38:10,799 Speaker 2: trip I took before COVID really shut things down was 778 00:38:10,840 --> 00:38:12,239 Speaker 2: to New York. So I was in New York in 779 00:38:12,320 --> 00:38:14,400 Speaker 2: early March, the first week of March, and I was 780 00:38:14,440 --> 00:38:17,640 Speaker 2: on a panel and investor panel talking about how you know, 781 00:38:17,719 --> 00:38:20,719 Speaker 2: someone said, you know what about downturns, and I said, 782 00:38:20,840 --> 00:38:25,319 Speaker 2: I'm a preseed investor. Right, Historically, downturns are a great 783 00:38:25,360 --> 00:38:28,080 Speaker 2: time to start a company because talent is cheaper, the 784 00:38:28,120 --> 00:38:31,200 Speaker 2: opportunity cost of starting a company is cheaper. Even AD 785 00:38:31,280 --> 00:38:34,720 Speaker 2: rates right on Facebook and Instagram, as we've seen during coronavirus, 786 00:38:34,920 --> 00:38:38,279 Speaker 2: are cheaper because there's less capital, there's less competition. And 787 00:38:38,400 --> 00:38:41,560 Speaker 2: so you know, Uber, Airbnb, all of these companies. Right 788 00:38:41,560 --> 00:38:45,040 Speaker 2: if Airbnb, if those guys had had well paid jobs 789 00:38:45,040 --> 00:38:47,759 Speaker 2: in that moment, Airbnb would never exist because it never 790 00:38:47,800 --> 00:38:50,120 Speaker 2: would have occurred to them to run out their beds. Right, 791 00:38:50,200 --> 00:38:52,880 Speaker 2: So we know this to be true. But now this 792 00:38:52,960 --> 00:38:56,280 Speaker 2: downturn hit, and it hit incredibly suddenly and incredibly hard, 793 00:38:56,400 --> 00:38:59,319 Speaker 2: and within two weeks, thirty thousand plus tech workers had 794 00:38:59,320 --> 00:39:03,239 Speaker 2: been laid off, proportionally female, disproportionately people of color. And 795 00:39:03,400 --> 00:39:06,560 Speaker 2: what we were seeing is that all these investors were saying, 796 00:39:06,560 --> 00:39:08,800 Speaker 2: you know, time to build, go build stuff, This is 797 00:39:08,840 --> 00:39:10,840 Speaker 2: a great time to start a company, but they weren't 798 00:39:10,880 --> 00:39:13,360 Speaker 2: giving them any instruction on how to do it, or 799 00:39:13,400 --> 00:39:16,640 Speaker 2: any resources or any help. And so my thought was, 800 00:39:16,840 --> 00:39:19,440 Speaker 2: you know, I know I've started companies. I know how 801 00:39:19,480 --> 00:39:21,279 Speaker 2: to do that. I'm a preseed investor. I work with 802 00:39:21,280 --> 00:39:24,359 Speaker 2: founders at the earliest stages. I write checks before there's 803 00:39:24,360 --> 00:39:27,040 Speaker 2: anything beyond a person I believe in who has an idea. 804 00:39:27,400 --> 00:39:29,680 Speaker 2: So I said, well, why not just do that? And 805 00:39:29,719 --> 00:39:32,440 Speaker 2: so we launched a program called Chrysalis, because you know, 806 00:39:32,480 --> 00:39:34,719 Speaker 2: it's when when the caterpillar thinks it's life is over, 807 00:39:34,800 --> 00:39:38,680 Speaker 2: it turns into a butterfly. And so we launched this 808 00:39:38,800 --> 00:39:41,560 Speaker 2: program with a really simple mandate, which was, you know, 809 00:39:41,640 --> 00:39:43,840 Speaker 2: we put up an application page, and tech Crunch, you know, 810 00:39:43,880 --> 00:39:46,359 Speaker 2: wrote about it, and we reached out to some people, 811 00:39:46,440 --> 00:39:48,480 Speaker 2: amazing people we knew had been laid off, and we 812 00:39:48,520 --> 00:39:51,520 Speaker 2: started to get hundreds and hundreds of applications, right, and 813 00:39:51,560 --> 00:39:53,960 Speaker 2: so we launched the program it's a six week program, 814 00:39:54,000 --> 00:39:56,080 Speaker 2: and there are people who've been laid off, and they 815 00:39:56,160 --> 00:39:58,399 Speaker 2: are people who are brilliant. They come out of top 816 00:39:58,440 --> 00:40:01,040 Speaker 2: tech companies. You know, we have ex PhDs, we have 817 00:40:01,120 --> 00:40:04,879 Speaker 2: cxos of publicly traded companies and everything in between. An 818 00:40:04,880 --> 00:40:07,920 Speaker 2: incredibly diverse group of people and they're building, right. They 819 00:40:07,960 --> 00:40:10,640 Speaker 2: all came together and they started getting to know each other, 820 00:40:10,840 --> 00:40:14,399 Speaker 2: trading company ideas, and you know, from there they were 821 00:40:14,480 --> 00:40:18,000 Speaker 2: able to say, okay, great, you know, let's go out 822 00:40:18,120 --> 00:40:20,879 Speaker 2: and start working on stuff. And so we're in week 823 00:40:20,960 --> 00:40:24,440 Speaker 2: four and we have about fifteen companies that people are 824 00:40:24,440 --> 00:40:28,080 Speaker 2: working on now. And they're pretty viable, right, they're good ideas, 825 00:40:28,080 --> 00:40:32,360 Speaker 2: they're incredibly talented founders with great experience, and they're building 826 00:40:32,400 --> 00:40:36,040 Speaker 2: and they're working, and you know, we're really bullish that 827 00:40:36,040 --> 00:40:38,400 Speaker 2: that this is going to result in some real companies 828 00:40:38,719 --> 00:40:40,600 Speaker 2: from people who two months ago, if you told them, hey, 829 00:40:40,600 --> 00:40:43,120 Speaker 2: you're going to be launching a company before fourth of July, 830 00:40:43,200 --> 00:40:44,880 Speaker 2: they would have said, what are you talking about? 831 00:40:46,120 --> 00:40:49,080 Speaker 1: Wow? And also so appropriate that it's like seven o'clock 832 00:40:49,080 --> 00:40:50,800 Speaker 1: here in New York and that like people are cheering 833 00:40:50,840 --> 00:40:53,400 Speaker 1: outside for the healthcare workers, so like as you're talking 834 00:40:53,400 --> 00:40:55,000 Speaker 1: about that, like people are cheering. 835 00:40:55,160 --> 00:40:55,399 Speaker 2: Good. 836 00:40:55,480 --> 00:40:59,560 Speaker 1: I feel I've had it's been a range of we've 837 00:40:59,560 --> 00:41:04,239 Speaker 1: had this, sirens, We've had people cheering, well, you know, 838 00:41:04,320 --> 00:41:07,520 Speaker 1: to rap, I would love What about this is personal 839 00:41:07,560 --> 00:41:09,120 Speaker 1: to you? I mean all of it is personal. 840 00:41:09,360 --> 00:41:13,080 Speaker 2: Yes, I'd rather not die because people are racist, So 841 00:41:13,160 --> 00:41:16,960 Speaker 2: it's very personal, yes, and and like I laugh, but 842 00:41:17,000 --> 00:41:19,279 Speaker 2: it's also true and it's insane that that you have 843 00:41:19,320 --> 00:41:21,800 Speaker 2: to say that, right, So, so of course it's personal. 844 00:41:21,880 --> 00:41:24,160 Speaker 2: But to me, you know, the thing that I think 845 00:41:24,200 --> 00:41:26,960 Speaker 2: about all the time is like, you know, I'm in 846 00:41:26,960 --> 00:41:28,719 Speaker 2: my thirties, Like I want to have kids someday, and 847 00:41:28,760 --> 00:41:31,680 Speaker 2: like I can't, Like I hope that the world has 848 00:41:31,760 --> 00:41:33,279 Speaker 2: changed by the time my kids are old enough to 849 00:41:33,320 --> 00:41:36,759 Speaker 2: have questions about this, But I certainly can't, you know, 850 00:41:36,880 --> 00:41:39,800 Speaker 2: with any moral authority, right bring kids into the world 851 00:41:39,800 --> 00:41:41,520 Speaker 2: and then have to tell them when they ask why 852 00:41:41,719 --> 00:41:44,080 Speaker 2: is the world like this? I can't say I don't know, 853 00:41:44,120 --> 00:41:46,400 Speaker 2: and I didn't do anything to change it, right, And 854 00:41:46,560 --> 00:41:49,000 Speaker 2: I see, you know, so many of my friends, because 855 00:41:49,040 --> 00:41:51,760 Speaker 2: of my age, right, are are having babies and they're 856 00:41:51,880 --> 00:41:54,400 Speaker 2: they're really thinking about that. They're saying, like I'm going 857 00:41:54,480 --> 00:41:56,960 Speaker 2: to raise this human in this world, and it can't 858 00:41:57,000 --> 00:41:59,120 Speaker 2: keep looking like this, right, It can't keep looking like 859 00:41:59,160 --> 00:42:02,200 Speaker 2: this for women, for people of color, for LGBTQ people 860 00:42:02,280 --> 00:42:04,839 Speaker 2: like we can't you know, for immigrants, it can't keep 861 00:42:04,880 --> 00:42:08,080 Speaker 2: looking like this. And I think that's really an amazing 862 00:42:08,200 --> 00:42:11,600 Speaker 2: kind of north star that if we focus on that, 863 00:42:11,760 --> 00:42:15,000 Speaker 2: and if we say, am I comfortable right with the 864 00:42:15,120 --> 00:42:18,440 Speaker 2: fact that in twenty five thirty years I might be 865 00:42:18,640 --> 00:42:21,320 Speaker 2: having a daughter, right who's a black woman who's graduated 866 00:42:21,400 --> 00:42:24,120 Speaker 2: college and has headed off to work in Silicon Valley? 867 00:42:24,320 --> 00:42:26,239 Speaker 2: And if she calls me and says, hey, Mom, you 868 00:42:26,280 --> 00:42:30,520 Speaker 2: know I'm getting sexually harassed. Hey, people are being you know, racist, 869 00:42:30,880 --> 00:42:33,560 Speaker 2: I can't say, oh, yeah, sorry, that's just how it is, 870 00:42:33,600 --> 00:42:35,160 Speaker 2: because it doesn't need to be how it is. 871 00:42:45,200 --> 00:42:47,720 Speaker 1: First Contact is a production of Dot Dot Dot Media, 872 00:42:47,760 --> 00:42:51,799 Speaker 1: executive produced by Laurie Siegel and Derek Dodge. This episode 873 00:42:51,840 --> 00:42:55,040 Speaker 1: was produced and edited by Sabine Jansen and Jack Reagan. 874 00:42:55,400 --> 00:43:01,360 Speaker 1: The original theme music is by Xander Singh. First Contact 875 00:43:01,360 --> 00:43:03,439 Speaker 1: with Lori Siegel is a production of Dot Dot Dot 876 00:43:03,480 --> 00:43:04,880 Speaker 1: Media and iHeartRadio.