1 00:00:01,040 --> 00:00:02,719 Speaker 1: May see you check us out of the first Black 2 00:00:02,880 --> 00:00:06,760 Speaker 1: Fact Podcast Festival, happening Sunday, August in Brooklyn, New York. 3 00:00:07,160 --> 00:00:09,840 Speaker 1: Tickets are available at black Effact dot com, Forward Last 4 00:00:09,880 --> 00:00:14,520 Speaker 1: Podcast Festival and live podcasts of your favorite shows are happening. 5 00:00:14,880 --> 00:00:16,680 Speaker 1: I'm so excited because this is the first time I've 6 00:00:16,720 --> 00:00:18,400 Speaker 1: ever been able to do I've been to a podcast 7 00:00:18,480 --> 00:00:22,239 Speaker 1: a long time, and this is my first ever time 8 00:00:22,320 --> 00:00:24,880 Speaker 1: being able to do one live in front of an audience. 9 00:00:25,040 --> 00:00:27,520 Speaker 1: So come through, come check us out. Eighty five South 10 00:00:27,600 --> 00:00:29,560 Speaker 1: is gonna be there, all the Smoke's gonna be there, 11 00:00:29,920 --> 00:00:33,160 Speaker 1: Black Tech, Green Money's gonna be there. Get tickets today 12 00:00:33,159 --> 00:00:36,239 Speaker 1: at black Fact dot com, Forward Last Podcast Festival. Well 13 00:00:36,320 --> 00:00:38,760 Speaker 1: you can see an Afro tech, Black Tech, Green Money. 14 00:00:38,840 --> 00:00:41,000 Speaker 1: And I want to take you back to a conversation 15 00:00:41,159 --> 00:00:44,640 Speaker 1: I had on this podcast with Mercedes Bent, who was 16 00:00:44,680 --> 00:00:48,120 Speaker 1: a partner at light Speed Venture Partners, a multi stage 17 00:00:48,200 --> 00:00:53,800 Speaker 1: venture capital firm with offices around the world including Valley, Israel, China, India, Europe, 18 00:00:53,920 --> 00:00:57,600 Speaker 1: Southeast Asia, on and on on arm. So we talked 19 00:00:57,640 --> 00:01:01,120 Speaker 1: on this episode about a lot of the accelerations that 20 00:01:01,200 --> 00:01:04,760 Speaker 1: happened because of the COVID nineteen pandemic, and I think 21 00:01:04,800 --> 00:01:07,080 Speaker 1: so many of the things she said in this episode 22 00:01:07,080 --> 00:01:10,280 Speaker 1: are still pertinent and relevant today, so I wanted to 23 00:01:10,319 --> 00:01:13,080 Speaker 1: run it back so you don't miss any of the keys. Yeah, 24 00:01:13,160 --> 00:01:15,640 Speaker 1: there's been so many accelerations. I think one of the 25 00:01:15,640 --> 00:01:17,959 Speaker 1: biggest ones that probably we all feel in our day 26 00:01:18,000 --> 00:01:22,080 Speaker 1: to day life is the e commerce acceleration. You know, 27 00:01:22,120 --> 00:01:24,080 Speaker 1: if as much as we all use Amazon, and think 28 00:01:24,120 --> 00:01:27,080 Speaker 1: about how big of a company that is, e commerce 29 00:01:27,400 --> 00:01:30,880 Speaker 1: and the penetration as percentage of total retail sales in 30 00:01:30,920 --> 00:01:34,399 Speaker 1: the US was actually really small even pre pandemic. You know, 31 00:01:34,480 --> 00:01:38,160 Speaker 1: we're talking single digits creeping into double digits, and during 32 00:01:38,200 --> 00:01:40,800 Speaker 1: the pandemic, depending on which category you look at, some 33 00:01:40,840 --> 00:01:43,440 Speaker 1: people will say it doubled. Some people will say it 34 00:01:43,640 --> 00:01:45,840 Speaker 1: when I went up to thirty some people today I 35 00:01:45,840 --> 00:01:49,120 Speaker 1: went up to it grew a lot. And and that's 36 00:01:49,320 --> 00:01:51,920 Speaker 1: we're still it's a minority of the of the sales 37 00:01:51,920 --> 00:01:54,920 Speaker 1: that are happening. That's a huge transformation. I think we 38 00:01:55,040 --> 00:01:58,240 Speaker 1: all probably saw it happening and continuing to happen in 39 00:01:58,240 --> 00:02:01,480 Speaker 1: the future. Another one is just around the way we 40 00:02:01,560 --> 00:02:04,240 Speaker 1: do work. You know, we've heard of the that this 41 00:02:04,320 --> 00:02:07,000 Speaker 1: phrase the future of work many times, or people talk 42 00:02:07,080 --> 00:02:10,280 Speaker 1: about distributed teams and remote teams and how people are 43 00:02:10,320 --> 00:02:12,639 Speaker 1: going to be able to work from anywhere in the 44 00:02:12,720 --> 00:02:15,000 Speaker 1: world and we won't need offices. And that was always 45 00:02:15,080 --> 00:02:16,560 Speaker 1: kind of a little bit of a pipe dream that 46 00:02:16,639 --> 00:02:19,760 Speaker 1: people talked about, and maybe a couple, you know, very lucky, 47 00:02:19,800 --> 00:02:22,840 Speaker 1: adventurous people were nomads and and worked wherever they wanted, 48 00:02:23,120 --> 00:02:26,119 Speaker 1: but it wasn't the reality for most of us. And nowadays, 49 00:02:26,160 --> 00:02:28,640 Speaker 1: now we're all working from home. People have you know, 50 00:02:28,720 --> 00:02:31,400 Speaker 1: at least where I'm at in San Francisco, people have 51 00:02:31,720 --> 00:02:36,280 Speaker 1: cut their you know, apartment rents, and and and and left. 52 00:02:36,600 --> 00:02:38,600 Speaker 1: And so I think this is something where we're fundingly 53 00:02:38,600 --> 00:02:41,920 Speaker 1: going to reimagine what the workplace is like and the 54 00:02:42,200 --> 00:02:45,080 Speaker 1: and and COVID has really accelerated what it means to 55 00:02:45,160 --> 00:02:49,240 Speaker 1: just do work. So those are two areas. There's a 56 00:02:49,280 --> 00:02:51,480 Speaker 1: lot more, but those, I mean even also as we 57 00:02:51,520 --> 00:02:54,280 Speaker 1: think about travel, um, that's another one that he actually 58 00:02:54,320 --> 00:02:57,040 Speaker 1: think is a little interesting to touch on because you know, 59 00:02:57,639 --> 00:03:00,120 Speaker 1: even when we think back to nine eleven in the 60 00:03:00,240 --> 00:03:03,639 Speaker 1: Sprina and eleven travel and postline eleven travel, how we 61 00:03:03,760 --> 00:03:07,000 Speaker 1: thought about security very differently. We're now going to think 62 00:03:07,040 --> 00:03:11,840 Speaker 1: about health as a very different requirement for travel. And 63 00:03:12,040 --> 00:03:14,119 Speaker 1: you know, I'm going actually somewhere in a few days 64 00:03:14,120 --> 00:03:16,800 Speaker 1: and had to go get a nasal swab, and so 65 00:03:16,840 --> 00:03:18,840 Speaker 1: I think it's just, you know, maybe was that the 66 00:03:18,840 --> 00:03:22,480 Speaker 1: acceleration of what we would think for travel. Actually a 67 00:03:22,480 --> 00:03:24,800 Speaker 1: lot of experts in the travel industry have been thinking 68 00:03:24,840 --> 00:03:27,320 Speaker 1: about this for years. How do you what is the 69 00:03:27,360 --> 00:03:31,080 Speaker 1: future of health and travel? And yeah, we've accelerated into 70 00:03:31,120 --> 00:03:36,080 Speaker 1: that really quickly too. For particularly, um, where's the opportunity then, 71 00:03:36,120 --> 00:03:38,200 Speaker 1: particularly when you talk about the future of work and 72 00:03:38,240 --> 00:03:41,000 Speaker 1: being distributed, and even the retail side. When I think 73 00:03:41,040 --> 00:03:46,240 Speaker 1: about UM, anybody building retail in director consumer or whatever, 74 00:03:46,680 --> 00:03:49,960 Speaker 1: you're competing against the amazon ification of everything because consumer 75 00:03:50,040 --> 00:03:53,040 Speaker 1: expectations are now so high. You know, you expect to 76 00:03:53,040 --> 00:03:54,920 Speaker 1: get it the same day or the next day. So 77 00:03:55,280 --> 00:03:57,760 Speaker 1: it continues to impress me. You know that you can 78 00:03:57,800 --> 00:04:00,120 Speaker 1: be on Etsy, and you know you can be all 79 00:04:00,120 --> 00:04:02,160 Speaker 1: the large following, you can be on shop you build 80 00:04:02,200 --> 00:04:04,120 Speaker 1: your own shopify and do your own thing because of 81 00:04:04,160 --> 00:04:08,120 Speaker 1: the expectation. I wonder how you look at if you're 82 00:04:08,200 --> 00:04:12,640 Speaker 1: if you're looking at retail opportunities and other um sort 83 00:04:12,640 --> 00:04:17,719 Speaker 1: of e commerce opportunities. What is required from those startups 84 00:04:17,800 --> 00:04:21,200 Speaker 1: or form from those entrepreneurs and inventors to be able 85 00:04:21,240 --> 00:04:25,520 Speaker 1: to compete in the landscape that is being in many 86 00:04:25,520 --> 00:04:30,120 Speaker 1: ways formed by Amazon. Yeah, I think it's I think 87 00:04:30,160 --> 00:04:33,040 Speaker 1: retail businesses have such a hard time right now. I mean, 88 00:04:33,080 --> 00:04:35,599 Speaker 1: depending on where they are in the country, some of 89 00:04:35,640 --> 00:04:39,200 Speaker 1: them can't even be open right now. There are startups 90 00:04:39,240 --> 00:04:42,000 Speaker 1: that are starting to focus on you know, and and 91 00:04:42,080 --> 00:04:44,680 Speaker 1: some of these have gotten quite big the shopifies of 92 00:04:44,680 --> 00:04:47,440 Speaker 1: the world that are tools and services that enable these 93 00:04:47,480 --> 00:04:50,080 Speaker 1: smaller businesses the at seas of the world, like you 94 00:04:50,160 --> 00:04:52,880 Speaker 1: spoke about, that allowed them to have a direct channel 95 00:04:52,920 --> 00:04:56,640 Speaker 1: with their customer and not to rely just on foot traffic. 96 00:04:56,960 --> 00:05:00,000 Speaker 1: There's also even a new trend of startups that are 97 00:05:00,080 --> 00:05:04,120 Speaker 1: focused on UM live streaming shopping. They actually these are 98 00:05:04,120 --> 00:05:08,960 Speaker 1: really big businesses in China. UM companies like h j 99 00:05:09,160 --> 00:05:12,360 Speaker 1: d Live and Talbao and Pindlo, dwell um. These are 100 00:05:12,400 --> 00:05:15,960 Speaker 1: companies that, you know, some of them allow the small 101 00:05:16,120 --> 00:05:19,359 Speaker 1: business owner to you know, video kind of like QVC. 102 00:05:20,480 --> 00:05:24,200 Speaker 1: I was thinking home shopping network That's what I was exactly, 103 00:05:24,320 --> 00:05:26,120 Speaker 1: and do it all via app and say hey, here's 104 00:05:26,160 --> 00:05:27,520 Speaker 1: what I have in my core. Do you like this, 105 00:05:27,600 --> 00:05:30,320 Speaker 1: how about this vintage jacket, how about this you know, 106 00:05:30,400 --> 00:05:33,560 Speaker 1: craftsman thing, and then just have people directly sell it 107 00:05:33,680 --> 00:05:37,640 Speaker 1: right from that. And so these ideas haven't taken off 108 00:05:37,640 --> 00:05:40,800 Speaker 1: in America quite yet, but there are startups that are 109 00:05:40,880 --> 00:05:44,640 Speaker 1: kind of working to even that playing field, particularly when 110 00:05:44,640 --> 00:05:47,080 Speaker 1: you think about education. I know you're big and you know, 111 00:05:47,200 --> 00:05:50,640 Speaker 1: very passionate about the education. Um. You had said the 112 00:05:50,680 --> 00:05:53,599 Speaker 1: future of K twelve is a world of personalized learning, 113 00:05:53,600 --> 00:05:55,880 Speaker 1: and you were and this was a post about COVID, 114 00:05:56,360 --> 00:06:01,360 Speaker 1: but K twelve technology adoption has lagged the broader what's 115 00:06:01,480 --> 00:06:05,880 Speaker 1: changing about education, particularly regards to the new opportunity at 116 00:06:05,920 --> 00:06:12,360 Speaker 1: COVID provides everything. Everything has changed about G twelve, Um, 117 00:06:12,480 --> 00:06:14,600 Speaker 1: you know, and I always used to kind of ponder 118 00:06:14,720 --> 00:06:18,680 Speaker 1: the question of why has education been slower to adapt 119 00:06:18,839 --> 00:06:22,680 Speaker 1: technology than other industries. Also, I think this is healthcare 120 00:06:22,760 --> 00:06:25,440 Speaker 1: is another industry where that's been the case. When there's 121 00:06:25,480 --> 00:06:28,200 Speaker 1: these industries that are very much so service based, very 122 00:06:28,240 --> 00:06:32,640 Speaker 1: heavily people oriented. You know, they employ between healthcare and education, 123 00:06:32,680 --> 00:06:35,440 Speaker 1: they employ some of the two of the largest professions 124 00:06:35,560 --> 00:06:39,320 Speaker 1: in the United States three million teachers, way more nurses 125 00:06:39,440 --> 00:06:41,960 Speaker 1: than that, and when you think about this, you know, 126 00:06:42,080 --> 00:06:45,800 Speaker 1: there their their service is actually hard to automate and 127 00:06:45,800 --> 00:06:47,880 Speaker 1: hard to replicate. When you, you know, go through a 128 00:06:47,920 --> 00:06:49,600 Speaker 1: top ten list of what are the jobs that are 129 00:06:49,600 --> 00:06:53,440 Speaker 1: going to be most AI or automation proof, teaching is 130 00:06:53,480 --> 00:06:56,599 Speaker 1: always out there and in the top because it's really 131 00:06:56,640 --> 00:06:59,359 Speaker 1: hard thing to do. I don't think people appreciate teachers 132 00:06:59,640 --> 00:07:02,320 Speaker 1: and you'rly enough for the multitude of tasks that they're 133 00:07:02,320 --> 00:07:06,200 Speaker 1: accomplishing it once. I mean they're caring for individual and 134 00:07:06,360 --> 00:07:10,280 Speaker 1: managing their emotional state. They're making sure that they are 135 00:07:10,320 --> 00:07:13,960 Speaker 1: paying attention and focused and engaged. They're trying to convey 136 00:07:14,080 --> 00:07:17,960 Speaker 1: information that in a way that's interesting and unique to them. 137 00:07:18,280 --> 00:07:21,840 Speaker 1: And they're doing that for people at once who often 138 00:07:21,920 --> 00:07:25,240 Speaker 1: are you know, so young that this is actually really difficult. 139 00:07:25,240 --> 00:07:29,400 Speaker 1: Thanks for them. Um so, so teachers do heroin, they're 140 00:07:29,440 --> 00:07:33,080 Speaker 1: they're heroes. They do amazing stuff. But I think I 141 00:07:33,120 --> 00:07:36,320 Speaker 1: think in terms of u uh, in terms of a 142 00:07:36,480 --> 00:07:39,160 Speaker 1: tech and where we're going with K twelve and what 143 00:07:39,240 --> 00:07:42,760 Speaker 1: COVID is gonna allow. I mean, everyone got sent home. 144 00:07:43,440 --> 00:07:45,960 Speaker 1: Now all these teachers are having to figure out all 145 00:07:46,000 --> 00:07:49,000 Speaker 1: these tasks I described they do, how do they do 146 00:07:49,040 --> 00:07:52,880 Speaker 1: that from the screen. It's actually almost impossible to do 147 00:07:52,920 --> 00:07:55,640 Speaker 1: a lot of that from the screen. But what I 148 00:07:55,640 --> 00:07:57,920 Speaker 1: think COVID does give us the opportunity that, and given 149 00:07:57,960 --> 00:08:00,240 Speaker 1: that the normal way they do their job is so hard, 150 00:08:00,520 --> 00:08:03,200 Speaker 1: we have to have technology, we have to have tools 151 00:08:03,240 --> 00:08:07,320 Speaker 1: come in to help aid them. And I do firmly 152 00:08:07,400 --> 00:08:10,320 Speaker 1: believe that to get to the goal of personalized learning, 153 00:08:10,760 --> 00:08:14,440 Speaker 1: which is a world where every child is met exactly 154 00:08:14,760 --> 00:08:18,520 Speaker 1: on their level for the information they need that's you know, 155 00:08:18,640 --> 00:08:21,960 Speaker 1: curated to their interests. For example, if someone was teaching me, 156 00:08:22,800 --> 00:08:24,840 Speaker 1: you know, back in elementary school, they would have done 157 00:08:24,880 --> 00:08:28,000 Speaker 1: a lot about like animals and nature, and they would 158 00:08:28,000 --> 00:08:30,080 Speaker 1: have done a lot about music and singing, and like 159 00:08:30,320 --> 00:08:33,439 Speaker 1: if they could have framed every chemistry lesson with those 160 00:08:33,480 --> 00:08:35,800 Speaker 1: type of you know, inputs, I would have probably been 161 00:08:35,840 --> 00:08:40,720 Speaker 1: really good at chemistry, but you know, like understanding what 162 00:08:40,840 --> 00:08:43,600 Speaker 1: everyone needs and being able to pull them along there. 163 00:08:43,600 --> 00:08:46,080 Speaker 1: So to go back to what I was saying, basically, 164 00:08:46,679 --> 00:08:49,800 Speaker 1: to really have that work with live people and teachers, 165 00:08:50,040 --> 00:08:51,920 Speaker 1: you're going to have to have one on one you know, 166 00:08:52,360 --> 00:08:54,560 Speaker 1: you would you can't do that to twenty people at once. 167 00:08:54,800 --> 00:08:57,360 Speaker 1: And since it's not possible to have one to one 168 00:08:57,840 --> 00:09:01,920 Speaker 1: teachers to students everywhere, and and unless every single adult 169 00:09:02,040 --> 00:09:06,600 Speaker 1: practically becomes a teacher, you know, we're gonna need technology 170 00:09:06,600 --> 00:09:09,000 Speaker 1: and tools, and I think what COVID is allowed is 171 00:09:09,000 --> 00:09:12,720 Speaker 1: opened up this possibility for people to use those tools 172 00:09:13,000 --> 00:09:16,400 Speaker 1: and for students to start interacting with technology in a 173 00:09:16,440 --> 00:09:18,920 Speaker 1: way that does curate their needs more to them. Their 174 00:09:18,920 --> 00:09:21,400 Speaker 1: parents are going, Okay, rather than just your one teacher 175 00:09:21,480 --> 00:09:24,760 Speaker 1: teaching you this, I have all of my you know, 176 00:09:25,240 --> 00:09:28,160 Speaker 1: lessons and all of the different resources I found online, 177 00:09:28,320 --> 00:09:30,120 Speaker 1: and I know which ones are best for my kids, 178 00:09:30,360 --> 00:09:32,560 Speaker 1: and so they're starting to pull those in. So everyone's 179 00:09:32,600 --> 00:09:37,120 Speaker 1: getting a little bit closer to personalized learning. UM. You 180 00:09:37,120 --> 00:09:40,160 Speaker 1: have a background in finance and obviously worked out a 181 00:09:40,240 --> 00:09:44,120 Speaker 1: VC back start up well in a very diverse cultural background. 182 00:09:44,200 --> 00:09:47,120 Speaker 1: And when you think about the unique value you may 183 00:09:47,160 --> 00:09:49,959 Speaker 1: bring to a company as an investor, I guess first 184 00:09:50,040 --> 00:09:53,400 Speaker 1: what verticals are you interested in? And then what do 185 00:09:53,440 --> 00:09:56,280 Speaker 1: you believe is the value you uniquely add to the 186 00:09:56,280 --> 00:09:59,720 Speaker 1: companies that you invest in. I hope I had a 187 00:09:59,720 --> 00:10:02,880 Speaker 1: lot of value. UM we opt to the founders I've 188 00:10:02,920 --> 00:10:07,000 Speaker 1: invested in, UM that I invest in fintech, ed tech, 189 00:10:07,320 --> 00:10:11,720 Speaker 1: ed tech, slash future of work and consumer consumers quite broad. 190 00:10:11,840 --> 00:10:16,040 Speaker 1: It can mean anything experience, economy, social media, e commerce, 191 00:10:16,480 --> 00:10:19,920 Speaker 1: new ways to do retail, all of that UM and 192 00:10:20,440 --> 00:10:22,720 Speaker 1: of those three sectors, I mean, I'm really passionate about 193 00:10:22,760 --> 00:10:25,200 Speaker 1: all of them. I worked, as you you know, talked 194 00:10:25,200 --> 00:10:27,960 Speaker 1: about earlier, in ed tech for several years. I've worked 195 00:10:27,960 --> 00:10:30,080 Speaker 1: in the space in one way or another, as academic 196 00:10:30,240 --> 00:10:32,640 Speaker 1: or as an operator, as investor for the last eight years. 197 00:10:33,080 --> 00:10:36,080 Speaker 1: Fintech is something I think that I'm super passionate about 198 00:10:36,120 --> 00:10:39,400 Speaker 1: just because financial inclusion, especially for our people, is such 199 00:10:39,440 --> 00:10:43,960 Speaker 1: an imperative. If we want to see equality and economic prosperity, 200 00:10:44,360 --> 00:10:46,559 Speaker 1: a lot of that is to come through an advasion 201 00:10:46,840 --> 00:10:50,280 Speaker 1: and finance, financial products, and consumer I mean most of 202 00:10:50,280 --> 00:10:52,880 Speaker 1: the businesses, all of the businesses I worked at as 203 00:10:52,920 --> 00:10:55,680 Speaker 1: a startup operator when I was, you know, leading UM 204 00:10:55,720 --> 00:10:58,360 Speaker 1: these big teams were all consumer businesses. So I just 205 00:10:58,520 --> 00:11:00,960 Speaker 1: understand and know their their play books a bit better. 206 00:11:02,080 --> 00:11:05,160 Speaker 1: And in terms of your second question, in terms of UM, 207 00:11:05,200 --> 00:11:08,200 Speaker 1: you know what what value right provide. I think it's 208 00:11:08,320 --> 00:11:11,920 Speaker 1: part of the value it provides one Having been an operator, 209 00:11:12,040 --> 00:11:15,720 Speaker 1: I you know, there's wonderful vcs that have done financed 210 00:11:15,760 --> 00:11:19,760 Speaker 1: their whole time. But for me, it's I don't I 211 00:11:19,800 --> 00:11:24,080 Speaker 1: don't know that you can truly have the empathy that 212 00:11:24,520 --> 00:11:27,160 Speaker 1: is really required to connect with the founder on that 213 00:11:27,280 --> 00:11:30,560 Speaker 1: level if you haven't gone through the trenches of what 214 00:11:30,920 --> 00:11:34,200 Speaker 1: they're going through. I think back to my early days. 215 00:11:34,240 --> 00:11:36,600 Speaker 1: I've worked at startups. Well, I've also founded my own 216 00:11:36,640 --> 00:11:40,200 Speaker 1: small business. Um it was a consulting business, not venture backed. 217 00:11:40,280 --> 00:11:42,680 Speaker 1: It's a little bit different. But I've worked at VC 218 00:11:42,800 --> 00:11:46,960 Speaker 1: backed startups that were you know, five people, ten people, 219 00:11:47,080 --> 00:11:49,920 Speaker 1: twenty people. When I started my own business it was 220 00:11:50,040 --> 00:11:53,000 Speaker 1: one person. So like the very very early stuff of 221 00:11:53,080 --> 00:11:55,960 Speaker 1: like wow, I have to be on the customer support 222 00:11:55,960 --> 00:11:58,560 Speaker 1: outline for eight hours today because there's no one else 223 00:11:58,600 --> 00:12:01,840 Speaker 1: to do it, you know, and just the drain. And 224 00:12:01,920 --> 00:12:05,360 Speaker 1: I remember working sixteen hour days, like starting at eight am, 225 00:12:05,480 --> 00:12:09,120 Speaker 1: working until three am. I guess that's longer than sixteen hours. 226 00:12:09,160 --> 00:12:13,120 Speaker 1: I mean working working these these crazy, crazy hours, And 227 00:12:13,160 --> 00:12:15,280 Speaker 1: I mean that empathy when you're talked to the founder 228 00:12:15,280 --> 00:12:16,560 Speaker 1: and you go, hey, like, you know, we gotta get 229 00:12:16,600 --> 00:12:19,320 Speaker 1: your KPIs in order, we gotta get your financial metrics 230 00:12:19,360 --> 00:12:22,199 Speaker 1: and everything. If you don't realize at the same time 231 00:12:22,240 --> 00:12:24,240 Speaker 1: they're sitting there super tired because they were up on 232 00:12:24,320 --> 00:12:28,640 Speaker 1: the customer support tickets until four am last night. You know, 233 00:12:28,679 --> 00:12:30,600 Speaker 1: it's hard to have that level empathy. So so so I 234 00:12:30,600 --> 00:12:33,000 Speaker 1: think that's one thing that I bring. And then too, 235 00:12:33,040 --> 00:12:34,880 Speaker 1: I think also for a lot of the founders that 236 00:12:34,960 --> 00:12:37,040 Speaker 1: I work with, UM, I don't know, I feel like 237 00:12:37,080 --> 00:12:39,319 Speaker 1: I have in some ways a bit of a under 238 00:12:40,080 --> 00:12:42,800 Speaker 1: dog mentality. I feel like I don't think I was 239 00:12:42,800 --> 00:12:45,640 Speaker 1: supposed to end up in VC. That definitely wasn't a 240 00:12:45,720 --> 00:12:48,320 Speaker 1: thing I was thinking about until a few years ago. 241 00:12:48,840 --> 00:12:51,800 Speaker 1: And so to me, a lot of the VC and 242 00:12:51,840 --> 00:12:54,480 Speaker 1: tech world, even though I've worked in you know, startups 243 00:12:54,480 --> 00:12:57,200 Speaker 1: for a while, it still feels very foreign. And so 244 00:12:57,440 --> 00:13:01,920 Speaker 1: I really connect with founders that I think don't find 245 00:13:02,000 --> 00:13:07,360 Speaker 1: themselves fully represented by the tech industry. And so a 246 00:13:07,360 --> 00:13:09,360 Speaker 1: lot of founders have told me I'm a little bit 247 00:13:09,400 --> 00:13:12,719 Speaker 1: of a more welcoming and uh, someone once said you're 248 00:13:12,720 --> 00:13:18,200 Speaker 1: a really nice VC to that point too. I'm glad 249 00:13:18,240 --> 00:13:20,520 Speaker 1: you mentioned that because I think about when people like 250 00:13:20,600 --> 00:13:22,120 Speaker 1: you are in a room. Let's say you're at an 251 00:13:22,160 --> 00:13:24,400 Speaker 1: AFRO tech or let's say you're not an advertech but 252 00:13:24,440 --> 00:13:27,000 Speaker 1: you're at any other conference tech conference, besides the afro 253 00:13:27,080 --> 00:13:31,240 Speaker 1: Tech honestly, and there's you know, two or three startup 254 00:13:31,280 --> 00:13:33,679 Speaker 1: founders in there and you're the only black VC and 255 00:13:33,760 --> 00:13:36,880 Speaker 1: probably many rooms that you go in. How is it 256 00:13:36,960 --> 00:13:41,960 Speaker 1: how do you manage the expectation of that person who 257 00:13:42,000 --> 00:13:45,160 Speaker 1: may assume that you get where they're coming from when 258 00:13:45,240 --> 00:13:49,360 Speaker 1: you have, like, how do you manage the savior part 259 00:13:49,360 --> 00:13:51,760 Speaker 1: of this because you're you may be the only person 260 00:13:51,800 --> 00:13:54,720 Speaker 1: that gets where they're coming from, and having to balance 261 00:13:54,760 --> 00:13:56,960 Speaker 1: that with you know, giving them what they need even 262 00:13:57,000 --> 00:13:59,600 Speaker 1: though they're they're ready for VC. If they're not ready 263 00:13:59,600 --> 00:14:01,839 Speaker 1: for VC, you being real with them, helping them gut 264 00:14:01,920 --> 00:14:06,079 Speaker 1: along the path when you can't be savior for everybody. Yeah, 265 00:14:06,400 --> 00:14:09,120 Speaker 1: that's a really interesting question, and I don't think anyone's 266 00:14:09,120 --> 00:14:12,079 Speaker 1: asked me that before. I view it is. Look, I mean, 267 00:14:12,720 --> 00:14:14,640 Speaker 1: I get a ton of cold emails, a ton of 268 00:14:14,679 --> 00:14:18,320 Speaker 1: cold LinkedIn messages. There's there's a lot of outreach, and 269 00:14:18,440 --> 00:14:20,840 Speaker 1: especially for any cold emails, if I know it's somebody 270 00:14:20,880 --> 00:14:22,760 Speaker 1: from our community, I'm going to try and go out 271 00:14:22,760 --> 00:14:25,920 Speaker 1: of my way to make sure to respond to the message. 272 00:14:26,200 --> 00:14:29,600 Speaker 1: There's just not enough access and there's not enough people 273 00:14:29,600 --> 00:14:32,240 Speaker 1: that respond to the networks and VC that you need 274 00:14:32,280 --> 00:14:35,040 Speaker 1: to get in to even have someone look at your startup. 275 00:14:35,400 --> 00:14:38,000 Speaker 1: The barrier for that is so high that that's the 276 00:14:38,080 --> 00:14:39,680 Speaker 1: first thing I try and do is just at least 277 00:14:39,720 --> 00:14:42,200 Speaker 1: provide some access, even if it's not going to be 278 00:14:42,320 --> 00:14:44,600 Speaker 1: a yes, it's you know, going to be hey, let's 279 00:14:44,600 --> 00:14:47,600 Speaker 1: get feedback. If you want to, you know, hear more 280 00:14:47,600 --> 00:14:49,840 Speaker 1: about why it wasn't a fit. I'm happy to hop 281 00:14:49,840 --> 00:14:51,880 Speaker 1: on the phone and tell you more about that. And 282 00:14:51,960 --> 00:14:54,840 Speaker 1: I think there's a really delicate balance. I also try 283 00:14:54,880 --> 00:14:58,120 Speaker 1: and strike between you know, being real with someone and 284 00:14:58,160 --> 00:15:00,880 Speaker 1: telling them, hey, this isn't a fit, you're maybe not 285 00:15:00,960 --> 00:15:05,560 Speaker 1: ready for this stage of investing, and also just being real, 286 00:15:05,960 --> 00:15:08,480 Speaker 1: you know, nice and human and realizing not everyone wants 287 00:15:08,480 --> 00:15:11,520 Speaker 1: you to tell them, you know, like, no, this isn't 288 00:15:11,600 --> 00:15:13,320 Speaker 1: this isn't a bit, and this is very about some 289 00:15:13,360 --> 00:15:17,120 Speaker 1: people just wanted to talk. And I actually was on 290 00:15:17,160 --> 00:15:19,400 Speaker 1: the phone with a man from Louisiana a couple of 291 00:15:19,440 --> 00:15:22,640 Speaker 1: weeks ago, where very quickly into the call I realized, oh, 292 00:15:22,720 --> 00:15:27,280 Speaker 1: this there. They don't have really any context about Silicon Valley. 293 00:15:27,320 --> 00:15:30,880 Speaker 1: But you know, I think I realized like part way 294 00:15:30,880 --> 00:15:32,680 Speaker 1: through the call it wasn't exactly the purpose of what 295 00:15:32,760 --> 00:15:34,200 Speaker 1: he was trying to get out. You don't want to 296 00:15:34,200 --> 00:15:36,560 Speaker 1: hear about me telling him like the KPIs need to 297 00:15:36,560 --> 00:15:37,800 Speaker 1: be this, and this is what it needs to look like, 298 00:15:37,840 --> 00:15:40,280 Speaker 1: and this I need to present your pitch, Like sometimes 299 00:15:40,280 --> 00:15:43,120 Speaker 1: he just wants to be heard from somebody who in 300 00:15:43,160 --> 00:15:46,440 Speaker 1: his mind was a tech person and he was also 301 00:15:46,480 --> 00:15:48,320 Speaker 1: a tech person, and he wanted to just kind of 302 00:15:48,320 --> 00:15:51,400 Speaker 1: talk about business and and so sometimes I also try 303 00:15:51,440 --> 00:15:53,400 Speaker 1: to allow myself to have that compassion of just like, 304 00:15:54,160 --> 00:16:01,880 Speaker 1: don't try and go in with you know, yeah too muchly, Um, 305 00:16:01,920 --> 00:16:04,520 Speaker 1: what's your philosophy? Then? On those companies that you do 306 00:16:04,600 --> 00:16:09,600 Speaker 1: engage with, on how engaged you are with those companies, 307 00:16:09,600 --> 00:16:12,080 Speaker 1: because you know, some vcs can be super in the weeds, 308 00:16:12,560 --> 00:16:14,920 Speaker 1: you know, almost walking hand in hand with with the 309 00:16:14,960 --> 00:16:17,880 Speaker 1: executive team, you know, particularly at the early stages. And 310 00:16:17,920 --> 00:16:20,280 Speaker 1: I get that, and some just show it for board meetings, 311 00:16:20,400 --> 00:16:24,760 Speaker 1: you know, like what's worked well for you? I always 312 00:16:24,800 --> 00:16:29,640 Speaker 1: ask my founders what their preferred cadence and communication style is, 313 00:16:30,000 --> 00:16:33,360 Speaker 1: because sometimes they want to connect every week. Sometimes they 314 00:16:33,360 --> 00:16:36,360 Speaker 1: want to connect every two weeks every month. You know, 315 00:16:36,480 --> 00:16:38,640 Speaker 1: some founders more of the are more of the type 316 00:16:38,680 --> 00:16:40,600 Speaker 1: of like, hey, I got the capitol, I'll talk to 317 00:16:40,640 --> 00:16:44,840 Speaker 1: you before and others are you know, really want a 318 00:16:44,840 --> 00:16:48,120 Speaker 1: lot of feedback. And so I try and in the 319 00:16:48,200 --> 00:16:50,760 Speaker 1: first three months or so give them that option to 320 00:16:50,840 --> 00:16:53,160 Speaker 1: kind of set their own and then if I start 321 00:16:53,240 --> 00:16:55,120 Speaker 1: to feel like we're not talking enough, which this has 322 00:16:55,160 --> 00:16:57,480 Speaker 1: just happened with one of my founders, I'll be like, hey, 323 00:16:57,480 --> 00:16:59,160 Speaker 1: can we talk a little bit more? Can we chat 324 00:16:59,240 --> 00:17:01,520 Speaker 1: like set a standard call every week every other week 325 00:17:01,640 --> 00:17:04,800 Speaker 1: or so, um So, so I really try to let 326 00:17:04,880 --> 00:17:07,160 Speaker 1: them lead on that. And also I was just thinking 327 00:17:07,200 --> 00:17:10,040 Speaker 1: too to your your last question, um, just something else 328 00:17:10,080 --> 00:17:13,439 Speaker 1: I want to mention to about the access and um, 329 00:17:13,480 --> 00:17:17,320 Speaker 1: you know, speaking of founders. Actually, wasn't tech Crunch disrupt 330 00:17:17,400 --> 00:17:19,840 Speaker 1: a couple of days ago. I think one of the 331 00:17:19,880 --> 00:17:23,520 Speaker 1: things that I try and there's there's a language of 332 00:17:23,600 --> 00:17:27,600 Speaker 1: Silicon Valley, there's terminology, there's kind of expected rules of 333 00:17:27,640 --> 00:17:30,880 Speaker 1: engagement and norms, and I think those are things that 334 00:17:31,240 --> 00:17:33,880 Speaker 1: especially to anyone listening, you know, on on this if 335 00:17:34,000 --> 00:17:36,640 Speaker 1: if you're curious about you know, you're getting you feel 336 00:17:36,640 --> 00:17:39,359 Speaker 1: like you're getting stuck at a certain process with investors 337 00:17:39,400 --> 00:17:42,560 Speaker 1: are getting stuck in feedback cycles and you're not really 338 00:17:42,640 --> 00:17:45,320 Speaker 1: understanding why you're getting the same thing. I feel free 339 00:17:45,320 --> 00:17:48,520 Speaker 1: to reach out because there is there are these cultural 340 00:17:48,600 --> 00:17:51,480 Speaker 1: norms that are not obvious if you're you know, not 341 00:17:51,520 --> 00:17:53,960 Speaker 1: smacking Matt dabbed in the middle of VC every day. 342 00:17:54,240 --> 00:17:56,280 Speaker 1: And that's something I always also try and connect with 343 00:17:56,320 --> 00:18:02,119 Speaker 1: founders on is you know, demystifying what vcs mean when 344 00:18:02,160 --> 00:18:05,199 Speaker 1: they say different things. Yeah, I mean you make me 345 00:18:05,240 --> 00:18:10,199 Speaker 1: think about, um, I'm gonna say this the privilege, you know, 346 00:18:10,440 --> 00:18:14,240 Speaker 1: non melanated. You know, founders may come to VC with like, look, 347 00:18:15,160 --> 00:18:17,760 Speaker 1: they don't have maybe not have the same sentiment. You know, 348 00:18:17,840 --> 00:18:20,840 Speaker 1: black people and minorities come with you know, where we're looking. 349 00:18:20,960 --> 00:18:23,800 Speaker 1: We're hoping somebody gives us a deal, and you know, 350 00:18:23,880 --> 00:18:25,919 Speaker 1: our counterparts may feel like, you know, you're lucky if 351 00:18:25,920 --> 00:18:28,680 Speaker 1: you can get in on my deal. Right, And So 352 00:18:29,720 --> 00:18:31,679 Speaker 1: to that end, number one, I think we we do 353 00:18:31,760 --> 00:18:35,679 Speaker 1: have to work on changing that philosophy that we you know, 354 00:18:35,800 --> 00:18:38,800 Speaker 1: too many of us hold because it is an interview 355 00:18:38,880 --> 00:18:42,840 Speaker 1: you too, right as as a VC. So at with 356 00:18:42,920 --> 00:18:47,000 Speaker 1: that stated, what are good from your perspective? Interview you 357 00:18:47,160 --> 00:18:49,960 Speaker 1: questions because you're gonna be you know, spit balling questions 358 00:18:49,960 --> 00:18:52,320 Speaker 1: to the founder on again, what are those KPI s 359 00:18:52,760 --> 00:18:54,840 Speaker 1: you know, what's your runway look like it, what's what's 360 00:18:54,840 --> 00:18:56,760 Speaker 1: the hiring stack look like in et cetera, what's the 361 00:18:56,760 --> 00:19:00,480 Speaker 1: tech stacks look like? But what questions that in your 362 00:19:00,520 --> 00:19:03,960 Speaker 1: experience have you found really really good founders ask you 363 00:19:04,119 --> 00:19:06,600 Speaker 1: at the stages of when you're doing due diligence in etcetera. 364 00:19:07,280 --> 00:19:10,080 Speaker 1: That's such a good question. I think the you're right, 365 00:19:10,119 --> 00:19:12,760 Speaker 1: the best founders do create well. One, they're really good 366 00:19:12,800 --> 00:19:16,040 Speaker 1: at storytelling. They wrap people around their fingers. They have 367 00:19:16,119 --> 00:19:18,840 Speaker 1: investors tripping over each other to get into the rout, 368 00:19:18,960 --> 00:19:23,119 Speaker 1: like you said, and they're also really good um at 369 00:19:23,359 --> 00:19:25,960 Speaker 1: in addition to that storytelling kind of weaving this this 370 00:19:26,080 --> 00:19:28,760 Speaker 1: scarcity kind of sense of saying like, hey, there's a 371 00:19:28,760 --> 00:19:30,399 Speaker 1: lot of people who want to like let me in 372 00:19:30,440 --> 00:19:32,119 Speaker 1: a in a kind way, not in a kind of 373 00:19:32,160 --> 00:19:35,359 Speaker 1: like bluffing way, but I think that the questions that 374 00:19:35,440 --> 00:19:38,000 Speaker 1: they tend to then have the leverage once they've you know, 375 00:19:38,080 --> 00:19:41,639 Speaker 1: laid some of this foundation to to really um and 376 00:19:41,640 --> 00:19:44,080 Speaker 1: I think people should do this anytime. But there are 377 00:19:44,119 --> 00:19:46,400 Speaker 1: founders who kind of set up this thing where they 378 00:19:46,440 --> 00:19:50,040 Speaker 1: have the upper hand by a long chat. Um that 379 00:19:50,200 --> 00:19:52,000 Speaker 1: you know, some of the questions I think that you 380 00:19:52,040 --> 00:19:54,560 Speaker 1: want to really ask and people point blank assets and 381 00:19:54,720 --> 00:19:56,240 Speaker 1: calls all the time. I think you always should have 382 00:19:56,320 --> 00:20:00,960 Speaker 1: like how do you help your founders? And that should 383 00:20:01,000 --> 00:20:03,640 Speaker 1: be super standard question that a VC should be able 384 00:20:03,680 --> 00:20:06,679 Speaker 1: to answer, Like watch if they have a ready answer. 385 00:20:06,840 --> 00:20:10,040 Speaker 1: First off, does it sounds like they're thinking while they're talking. 386 00:20:10,080 --> 00:20:13,439 Speaker 1: If they are, that's probably an issue, you know, And 387 00:20:13,840 --> 00:20:17,280 Speaker 1: are they also able to give specific tactical advice? And 388 00:20:17,320 --> 00:20:20,159 Speaker 1: then after you know, they'll probably talk in generalities. Some 389 00:20:20,240 --> 00:20:22,720 Speaker 1: of them might go into specifics, but after you try 390 00:20:22,720 --> 00:20:25,880 Speaker 1: to ask them how do you help your founders, ask 391 00:20:25,960 --> 00:20:28,080 Speaker 1: them for some examples. Okay, can you tell me about 392 00:20:28,080 --> 00:20:31,520 Speaker 1: a couple of examples from your portfolio where you know 393 00:20:31,720 --> 00:20:33,800 Speaker 1: you helped your founders on some of those things. And 394 00:20:34,119 --> 00:20:36,719 Speaker 1: you don't have to, you know, tell them all the specifics, 395 00:20:36,760 --> 00:20:40,040 Speaker 1: but you know, just give some some sense. Um. I 396 00:20:40,119 --> 00:20:43,120 Speaker 1: really love getting those questions from founders. The other thing 397 00:20:43,680 --> 00:20:46,119 Speaker 1: I that you actually asked me a question earlier that 398 00:20:46,119 --> 00:20:48,400 Speaker 1: a lot of founders asked in terms of like how 399 00:20:48,440 --> 00:20:50,280 Speaker 1: are you as a board member? How involved do you 400 00:20:50,320 --> 00:20:54,679 Speaker 1: want to be? Because there's especially this can be one 401 00:20:54,720 --> 00:20:57,640 Speaker 1: of the downsides of being a former operator VC. Sometimes 402 00:20:57,640 --> 00:21:00,440 Speaker 1: former operator vcs really want to get up in your 403 00:21:00,440 --> 00:21:05,119 Speaker 1: business building, all right. They want to be rolling up 404 00:21:05,160 --> 00:21:07,320 Speaker 1: their sleeves. They want to be on the you, which 405 00:21:07,359 --> 00:21:08,879 Speaker 1: can be nice, but it can be a little bit 406 00:21:08,920 --> 00:21:11,080 Speaker 1: too much. And so I think getting a sense of 407 00:21:11,119 --> 00:21:14,840 Speaker 1: like what are their expectations around how often they're going 408 00:21:14,920 --> 00:21:17,200 Speaker 1: to chat. I always say, like, I follow your lead. 409 00:21:17,440 --> 00:21:19,240 Speaker 1: A lot of bcs are going to say that They're 410 00:21:19,240 --> 00:21:21,760 Speaker 1: gonna say, well, look, this is I set meetings every 411 00:21:21,800 --> 00:21:24,159 Speaker 1: single week. You know, I'm gonna back in the pre 412 00:21:24,240 --> 00:21:27,040 Speaker 1: COVID times like I'll come by your office once a week, 413 00:21:27,119 --> 00:21:29,199 Speaker 1: and you know, and that might be not what you 414 00:21:29,240 --> 00:21:31,399 Speaker 1: want as a founder. Um So, I think those are 415 00:21:31,400 --> 00:21:40,800 Speaker 1: a couple of good questions to hit on. Mercedes is 416 00:21:40,840 --> 00:21:44,080 Speaker 1: an early stage investor. But what does that actually mean? 417 00:21:44,160 --> 00:21:49,399 Speaker 1: Early stage? For some it can mean idea stage, for others, 418 00:21:49,840 --> 00:21:55,520 Speaker 1: some traction or ten dollars a month in revenue. It 419 00:21:55,520 --> 00:22:00,600 Speaker 1: means different things that different people. Mercedes speaks, so yeah, 420 00:22:00,680 --> 00:22:04,719 Speaker 1: early stage for me is probably closer to what early 421 00:22:05,160 --> 00:22:07,600 Speaker 1: really the earliest founders would consider mid stage, even though 422 00:22:07,600 --> 00:22:11,000 Speaker 1: it's not a thing. Um So, I'm investing mostly at 423 00:22:11,000 --> 00:22:15,199 Speaker 1: this series A. That's kind of like my target investment area. 424 00:22:15,280 --> 00:22:17,560 Speaker 1: That's when you know, if you're enterprise sassed business, you 425 00:22:17,560 --> 00:22:20,119 Speaker 1: have one million and air are. If you're a consumer 426 00:22:20,160 --> 00:22:22,400 Speaker 1: business you you know e commerce, you might have six 427 00:22:22,480 --> 00:22:25,760 Speaker 1: to twelve million and the annual revenue. These are rough benchmarks, 428 00:22:25,800 --> 00:22:29,639 Speaker 1: not you know, set numbers um. And for me, what 429 00:22:29,760 --> 00:22:32,000 Speaker 1: it means that series A is that your post product 430 00:22:32,000 --> 00:22:35,840 Speaker 1: market fit. You've already found your sales engine and your 431 00:22:35,920 --> 00:22:38,720 Speaker 1: channel and you're starting to take off and you're really 432 00:22:38,760 --> 00:22:41,639 Speaker 1: growing the business. And now it's about how do I 433 00:22:41,680 --> 00:22:44,240 Speaker 1: add on resources? How do I add on talent to 434 00:22:44,720 --> 00:22:47,960 Speaker 1: continue what's working and make it work. Other people, when 435 00:22:48,000 --> 00:22:51,560 Speaker 1: they say early stage, they might mean seed, which a 436 00:22:51,640 --> 00:22:54,560 Speaker 1: Silicon valley seed versus maybe a rest of the country 437 00:22:54,640 --> 00:22:56,960 Speaker 1: or rest of the world seed can also mean different things, 438 00:22:57,320 --> 00:22:59,680 Speaker 1: or they might even now there's a new category precede 439 00:23:00,240 --> 00:23:04,200 Speaker 1: as now what are we going to call it next? Right, 440 00:23:04,720 --> 00:23:08,720 Speaker 1: because seeds are at a million dollars now until looking valley, Yeah, 441 00:23:08,760 --> 00:23:11,439 Speaker 1: I mean I see founders raising four million dollar seeds 442 00:23:11,440 --> 00:23:15,320 Speaker 1: all the time, um, and you know it, A lot 443 00:23:15,359 --> 00:23:17,560 Speaker 1: of people are also doing where they raise two seed 444 00:23:17,640 --> 00:23:20,920 Speaker 1: rounds and then a series day because I just think 445 00:23:20,960 --> 00:23:26,240 Speaker 1: the expectations for what people are expecting out of A 446 00:23:26,359 --> 00:23:28,879 Speaker 1: series they continue to grow and grow and girl. But 447 00:23:28,880 --> 00:23:32,400 Speaker 1: it's it's interesting, it depends on this sector actually in fintech, 448 00:23:33,240 --> 00:23:36,760 Speaker 1: where companies are raising at their raising Series A at 449 00:23:36,840 --> 00:23:41,880 Speaker 1: much lower revenue threshold and benchmarks than than almost any 450 00:23:41,960 --> 00:23:44,719 Speaker 1: enterprise or consumer companies. But for most of the enterprise 451 00:23:44,720 --> 00:23:48,040 Speaker 1: and consumer companies, they're you know, looking for later in 452 00:23:48,160 --> 00:23:53,080 Speaker 1: later stage with particular respect to black founders um. And 453 00:23:53,160 --> 00:23:55,080 Speaker 1: you said, like you said, you're investing at you know, 454 00:23:55,119 --> 00:23:59,680 Speaker 1: the A round UM primarily with respect to black founders, 455 00:23:59,680 --> 00:24:02,320 Speaker 1: which I know you you got interventure to work with 456 00:24:02,400 --> 00:24:07,520 Speaker 1: marginalized communities in etcetera. Are there really enough black founders 457 00:24:07,760 --> 00:24:11,480 Speaker 1: at the A round stage to make that mission that 458 00:24:11,560 --> 00:24:14,840 Speaker 1: personal mission you have or you know, the global mission 459 00:24:14,880 --> 00:24:19,160 Speaker 1: for our culture viable? Like, do we have enough black 460 00:24:19,200 --> 00:24:21,960 Speaker 1: founders that are positioning themselves for the A round And 461 00:24:21,960 --> 00:24:24,520 Speaker 1: if if we're not, where are we falling off as 462 00:24:24,520 --> 00:24:28,440 Speaker 1: an equal system to prepare people for that? I think 463 00:24:28,440 --> 00:24:30,960 Speaker 1: the A round is probably one of the hardest rounds 464 00:24:30,960 --> 00:24:33,760 Speaker 1: for black founders to raise. At least this is what 465 00:24:34,000 --> 00:24:38,280 Speaker 1: I'm seeing, and there are certain categories where there's more 466 00:24:38,280 --> 00:24:42,760 Speaker 1: black founders concentrated than others. For example, fintech. There's actually 467 00:24:42,760 --> 00:24:45,680 Speaker 1: a lot of black founders in fintech I feel relative 468 00:24:45,720 --> 00:24:48,359 Speaker 1: to the rest, probably because they know the story firsthand 469 00:24:48,400 --> 00:24:52,719 Speaker 1: from their communities about financial inclusion and it's importance. Another 470 00:24:53,080 --> 00:24:55,960 Speaker 1: sector where I see a lot of black founders is 471 00:24:56,000 --> 00:24:59,520 Speaker 1: in a lot of things related to culture. Obviously, UM 472 00:24:59,600 --> 00:25:03,679 Speaker 1: black itself, you know, in his Black founders, and I 473 00:25:03,680 --> 00:25:07,320 Speaker 1: think that's another great space entertainment. UM. So when you 474 00:25:07,440 --> 00:25:09,960 Speaker 1: in those sectors, No, there's not a dearth of founders. 475 00:25:10,119 --> 00:25:13,400 Speaker 1: At Series A, I see tons all the time, UM, 476 00:25:13,440 --> 00:25:15,760 Speaker 1: and a lot of the other sectors. It's a little 477 00:25:15,760 --> 00:25:20,239 Speaker 1: bit more hit for miss UM. And you know, I 478 00:25:20,280 --> 00:25:23,960 Speaker 1: don't have the answer on why that round that is 479 00:25:24,000 --> 00:25:27,560 Speaker 1: so difficult for for founders to raise, but my thought 480 00:25:27,760 --> 00:25:32,080 Speaker 1: is that it's because it's often the first big institutional round. 481 00:25:32,480 --> 00:25:36,080 Speaker 1: Seed rounds can be you know, compromised of a lot 482 00:25:36,119 --> 00:25:37,879 Speaker 1: of angels. It can be a lot of kind of 483 00:25:37,920 --> 00:25:42,080 Speaker 1: early funds. There's a lot of um, you know, fifty 484 00:25:42,320 --> 00:25:46,520 Speaker 1: hundred thousand dollar checks, two d fifty dollar checks that 485 00:25:46,560 --> 00:25:49,119 Speaker 1: make it into seed rounds. And so a lot of 486 00:25:49,119 --> 00:25:51,320 Speaker 1: black founders are able to do that. And then at 487 00:25:51,400 --> 00:25:53,920 Speaker 1: the Series A, that's the first big round where it's 488 00:25:53,960 --> 00:25:59,000 Speaker 1: like an established, normally Silicon Valley, you know, institution that's 489 00:25:59,000 --> 00:26:01,720 Speaker 1: been around for a while, and honestly, one I don't 490 00:26:01,720 --> 00:26:04,440 Speaker 1: think their their networks are at most of these big 491 00:26:04,480 --> 00:26:07,720 Speaker 1: firms are conducive to black vote because there's no black 492 00:26:07,760 --> 00:26:11,040 Speaker 1: foot working at them. UM. And to you know, I 493 00:26:11,080 --> 00:26:14,760 Speaker 1: think that it's the scrutiny level is really high, and 494 00:26:14,840 --> 00:26:17,879 Speaker 1: anytime the scrutiny level for around is really high, a 495 00:26:17,920 --> 00:26:21,560 Speaker 1: lot of bias creeps in because you're purposely trying to 496 00:26:21,560 --> 00:26:24,240 Speaker 1: scrutinize everything hard and so you start making a lot 497 00:26:24,240 --> 00:26:27,800 Speaker 1: of like well, you know, like there's always something wrong 498 00:26:27,880 --> 00:26:30,280 Speaker 1: with the car, say business. But it's how much you 499 00:26:30,320 --> 00:26:34,119 Speaker 1: get yourself to believe that it's okay that there's something 500 00:26:34,160 --> 00:26:36,359 Speaker 1: wrong with that that that business. And I'm not sure 501 00:26:36,400 --> 00:26:39,679 Speaker 1: that all marginalized and and minority founders are given the 502 00:26:39,720 --> 00:26:42,000 Speaker 1: benefit of the doubt when there's is that thing that's 503 00:26:42,040 --> 00:26:45,920 Speaker 1: wrong with the business. You mentioned in the previous interview 504 00:26:45,960 --> 00:26:48,720 Speaker 1: that you wanted to be a VC too, among other things, 505 00:26:48,760 --> 00:26:50,960 Speaker 1: be a part of the change, UM, as you were 506 00:26:51,280 --> 00:26:54,000 Speaker 1: introduced to the world of business finance, you know, cost 507 00:26:54,040 --> 00:26:57,440 Speaker 1: of capital and etcetera. That things that you previously didn't know, right, 508 00:26:58,040 --> 00:27:01,159 Speaker 1: and but the white guys knew it. And how do 509 00:27:01,240 --> 00:27:04,400 Speaker 1: you view your role as an investor to think more 510 00:27:04,440 --> 00:27:08,399 Speaker 1: holistically about investments, particularly because you're targeting these, you know, 511 00:27:08,800 --> 00:27:12,480 Speaker 1: um communities, marginalized communities. How do you think about that 512 00:27:13,040 --> 00:27:16,120 Speaker 1: when you have to think more than just about returns since, 513 00:27:16,160 --> 00:27:19,000 Speaker 1: as you mentioned, your passion is the marginalized community. Yeah, 514 00:27:19,040 --> 00:27:21,960 Speaker 1: I mean, I actually do believe. I'm very big of 515 00:27:21,960 --> 00:27:24,600 Speaker 1: the double bottom line of the all of the BI corps. 516 00:27:24,800 --> 00:27:27,680 Speaker 1: I do believe that you can do build really big 517 00:27:27,720 --> 00:27:30,760 Speaker 1: businesses by doing good. And so you know, when you 518 00:27:30,800 --> 00:27:33,840 Speaker 1: think about especially in education and fintech, two of the 519 00:27:34,040 --> 00:27:36,960 Speaker 1: sectors where I invest the most. You to build a 520 00:27:37,000 --> 00:27:40,199 Speaker 1: really big business, you have to serve the full population, 521 00:27:40,320 --> 00:27:43,200 Speaker 1: you know. I'm I would never, not would never, because 522 00:27:43,200 --> 00:27:45,520 Speaker 1: I don't want to say never, but I can't really 523 00:27:45,720 --> 00:27:49,600 Speaker 1: I see myself investing in an education company that only serves, 524 00:27:49,640 --> 00:27:51,760 Speaker 1: you know, the top ten percent, because it's just going 525 00:27:51,800 --> 00:27:54,000 Speaker 1: to be a small market, you know. And so I 526 00:27:54,040 --> 00:27:56,520 Speaker 1: think that if you're going to build these outcome businesses 527 00:27:56,560 --> 00:27:58,320 Speaker 1: that we're looking for a light speed, we're looking for 528 00:27:58,400 --> 00:28:02,720 Speaker 1: one billion dollar businesses, billion five billion diar companies that 529 00:28:02,760 --> 00:28:04,440 Speaker 1: you have to be able to serve the whole population. 530 00:28:04,760 --> 00:28:10,240 Speaker 1: So I don't view necessarily as a either or. UM. 531 00:28:10,040 --> 00:28:11,919 Speaker 1: I'm glad you. I'm glad you mentioned that because it's 532 00:28:11,920 --> 00:28:15,280 Speaker 1: segways nicely into another courte I heard you talk about 533 00:28:15,440 --> 00:28:18,240 Speaker 1: was from Jeremy lou who's your one of your bosses, 534 00:28:18,280 --> 00:28:21,960 Speaker 1: who who hired you. Um, he was interested in increasing 535 00:28:22,359 --> 00:28:25,679 Speaker 1: diversity among women investors, racial minorities in et cetera. And 536 00:28:25,720 --> 00:28:28,720 Speaker 1: he's a consumer investor, and you talked about um, he 537 00:28:28,800 --> 00:28:32,120 Speaker 1: was the first investor first check in the snapchat. Um, 538 00:28:32,160 --> 00:28:35,040 Speaker 1: if a company has a large percentage of black women, 539 00:28:35,359 --> 00:28:39,080 Speaker 1: Latinos in their their audience space, is largely those things 540 00:28:39,640 --> 00:28:41,920 Speaker 1: they have the presented to drive culture and there's probably 541 00:28:42,080 --> 00:28:43,920 Speaker 1: you know, a great a lot of opportunity with those 542 00:28:44,920 --> 00:28:47,680 Speaker 1: And this was something that resonated with you, per you know, 543 00:28:47,800 --> 00:28:50,960 Speaker 1: the interview that I saw, And how has this sort 544 00:28:50,960 --> 00:28:54,560 Speaker 1: of you know, investing bias in this in this respect 545 00:28:54,560 --> 00:28:57,680 Speaker 1: of good bias, you know, impacted what's important to you. 546 00:28:58,240 --> 00:29:01,680 Speaker 1: You really read my different bogats and interviews. I feel 547 00:29:01,800 --> 00:29:06,400 Speaker 1: very honored you read all these. Yeah, I mean that 548 00:29:06,520 --> 00:29:08,360 Speaker 1: was that was one of the things. And in the 549 00:29:08,440 --> 00:29:10,120 Speaker 1: vein of what you were talking about earlier, you know, 550 00:29:10,200 --> 00:29:13,080 Speaker 1: make sure that founders you interview the v c s 551 00:29:13,120 --> 00:29:14,800 Speaker 1: when you're talking to them, because you're signing up for 552 00:29:14,840 --> 00:29:18,000 Speaker 1: a tenure partnership really in marriage, and you want to 553 00:29:18,040 --> 00:29:20,440 Speaker 1: know that you like this person too. I thought about 554 00:29:20,440 --> 00:29:22,840 Speaker 1: the same thing when I was going in and interviewing 555 00:29:22,880 --> 00:29:25,160 Speaker 1: for VC firms. You know, I was looking for a 556 00:29:25,200 --> 00:29:31,200 Speaker 1: firm that was inclusive, that was going to view the 557 00:29:31,240 --> 00:29:34,440 Speaker 1: world in a somewhat similar way I did. I didn't 558 00:29:34,440 --> 00:29:36,320 Speaker 1: mean that we have to agree on everything, but I 559 00:29:36,320 --> 00:29:38,240 Speaker 1: don't want to be shut down. You know, every single 560 00:29:38,280 --> 00:29:41,560 Speaker 1: time I mentioned the importance of working with black people 561 00:29:41,600 --> 00:29:43,520 Speaker 1: and trying to elevate black founders, like, if that was 562 00:29:43,560 --> 00:29:45,160 Speaker 1: going to be the case, it wasn't gonna be the 563 00:29:45,200 --> 00:29:48,040 Speaker 1: right firm for me. And so actually, um, when I 564 00:29:48,080 --> 00:29:50,840 Speaker 1: was interviewing, I pitched they. You know, Jeremy asked me 565 00:29:50,920 --> 00:29:53,640 Speaker 1: to pitch a couple of different companies, and I pitched, 566 00:29:53,760 --> 00:29:57,160 Speaker 1: um what a couple of companies, one of which was 567 00:29:57,360 --> 00:30:00,640 Speaker 1: a hair weave company. And you know, for me, this 568 00:30:00,760 --> 00:30:02,720 Speaker 1: was kind of like one of my little test that 569 00:30:02,800 --> 00:30:05,120 Speaker 1: was in my interview process with a lot of firms, 570 00:30:05,200 --> 00:30:08,080 Speaker 1: was like, how, what's your response to me pitching you know, 571 00:30:08,240 --> 00:30:11,080 Speaker 1: a hair weave company that's primarily used by black women, 572 00:30:11,200 --> 00:30:15,760 Speaker 1: Like do you immediately question whether this is a market 573 00:30:15,840 --> 00:30:18,120 Speaker 1: that has any potential or do you kind of are 574 00:30:18,120 --> 00:30:20,680 Speaker 1: you open minded and or do you or do you 575 00:30:20,720 --> 00:30:23,560 Speaker 1: go wow, yeah, I actually know the research and I've 576 00:30:23,560 --> 00:30:25,760 Speaker 1: seen the big businesses can be built in this space. 577 00:30:26,080 --> 00:30:28,760 Speaker 1: And you know, I got a lot of varying responses, 578 00:30:28,800 --> 00:30:31,680 Speaker 1: but particularly at light speed, I was really touched that 579 00:30:31,760 --> 00:30:34,200 Speaker 1: there was a lot of enthusiasm and and kind of 580 00:30:34,200 --> 00:30:36,560 Speaker 1: the response I was looking for. In addition to that, 581 00:30:36,800 --> 00:30:39,480 Speaker 1: lights because a lot of women investors. Um, I think 582 00:30:39,480 --> 00:30:42,360 Speaker 1: we're at up to maybe ten or eleven out of 583 00:30:44,080 --> 00:30:47,400 Speaker 1: nine investment partners in San Francisco that are women, which 584 00:30:47,440 --> 00:30:49,760 Speaker 1: is totally different than a lot of firms. To start, 585 00:30:49,760 --> 00:30:51,880 Speaker 1: I'm getting a bit off track, but one that was 586 00:30:52,080 --> 00:30:54,600 Speaker 1: what attracted to me and I related to your earlier 587 00:30:54,680 --> 00:30:57,640 Speaker 1: question and then in terms of sorry, just to make 588 00:30:57,640 --> 00:30:59,959 Speaker 1: sure I understood the rest of your question as well, 589 00:31:00,240 --> 00:31:02,880 Speaker 1: I'm just thinking I think about the bias you know, 590 00:31:03,040 --> 00:31:07,000 Speaker 1: of looking for you know, marginalized founders and how that 591 00:31:07,040 --> 00:31:10,080 Speaker 1: plays into a part of how you think of it. Yeah, exactly. 592 00:31:10,440 --> 00:31:15,000 Speaker 1: So as consumer investors, what the quote kind of Jeremy 593 00:31:15,080 --> 00:31:18,400 Speaker 1: had said, and he said this well before I ever joined, 594 00:31:18,880 --> 00:31:21,280 Speaker 1: was that what we're looking for a lot of the 595 00:31:21,320 --> 00:31:24,240 Speaker 1: times is we're looking for a consumer company that has 596 00:31:24,280 --> 00:31:28,760 Speaker 1: tapped into pop culture. Because often companies that are able 597 00:31:28,800 --> 00:31:31,520 Speaker 1: to gain a foothold and tap into an element of 598 00:31:31,520 --> 00:31:34,760 Speaker 1: pop culture are going to just have these natural lips. 599 00:31:34,800 --> 00:31:37,040 Speaker 1: It's going you know, they're going to sustain a lot better. 600 00:31:37,080 --> 00:31:39,560 Speaker 1: If you're fighting for every you know, user that you 601 00:31:39,600 --> 00:31:42,160 Speaker 1: acquire and try to explain your relevance, it's a lot 602 00:31:42,200 --> 00:31:45,440 Speaker 1: harder of a business. But when you really tap that thread, 603 00:31:45,920 --> 00:31:49,240 Speaker 1: businesses take off. And what we've seen time and time 604 00:31:49,280 --> 00:31:52,720 Speaker 1: again is that these companies that have very early in 605 00:31:52,800 --> 00:31:55,280 Speaker 1: their their user to your directorate, like maybe they are 606 00:31:55,320 --> 00:31:59,160 Speaker 1: at ten thousand, maybe they're fifty thousand, a hundred thousand users, 607 00:31:59,160 --> 00:32:02,960 Speaker 1: that often times the user base tends to be more 608 00:32:02,960 --> 00:32:05,600 Speaker 1: heavily slanted toward women, and it tends to be more 609 00:32:05,600 --> 00:32:09,800 Speaker 1: heavily slanted toward black and Latino people. And so it's 610 00:32:10,000 --> 00:32:13,480 Speaker 1: you know, I don't think it's a big, um shocking 611 00:32:13,520 --> 00:32:15,640 Speaker 1: statement to say that a lot of the culture in 612 00:32:15,680 --> 00:32:19,120 Speaker 1: the US is driven by black and brown people. That's 613 00:32:19,160 --> 00:32:21,760 Speaker 1: where a lot of the music Hollyowood Entertainment. It's not 614 00:32:21,800 --> 00:32:25,120 Speaker 1: the only one, but it's a large, large, outsized portion 615 00:32:25,400 --> 00:32:29,440 Speaker 1: of the of the kind of sphere. And so as investors, 616 00:32:29,440 --> 00:32:32,880 Speaker 1: we find the same thing to be true in consumer 617 00:32:32,920 --> 00:32:34,760 Speaker 1: businesses that take off. This is what we saw on 618 00:32:34,800 --> 00:32:38,600 Speaker 1: Snapchat early on, this is what we see in um 619 00:32:38,680 --> 00:32:41,600 Speaker 1: in Cameo, another investment of ours kind of all of 620 00:32:41,640 --> 00:32:45,360 Speaker 1: these companies that have this kind of you know, trend 621 00:32:45,400 --> 00:32:47,560 Speaker 1: where they've just picked up and everyone's talking about it. 622 00:32:47,600 --> 00:32:50,280 Speaker 1: People are you know, it's in the becomes part of 623 00:32:50,280 --> 00:32:53,000 Speaker 1: the lingua franca at at work. People are just talking 624 00:32:53,040 --> 00:32:55,920 Speaker 1: about it. So that's something we always look for. I 625 00:32:55,960 --> 00:32:58,600 Speaker 1: think it's yeah, like you said, good by us. I 626 00:32:58,720 --> 00:33:01,640 Speaker 1: was talking with Tristan Walker Walker and co make Rebevel 627 00:33:01,720 --> 00:33:04,680 Speaker 1: about the same thing about his statement was, as you 628 00:33:04,760 --> 00:33:08,040 Speaker 1: just mentioned, black culture drives all global culture. Um what 629 00:33:08,200 --> 00:33:12,600 Speaker 1: you're thinking about music, fashion, food, and etcetera. And you know, 630 00:33:12,720 --> 00:33:15,400 Speaker 1: particularly because of the audience that we're talking to, now 631 00:33:15,560 --> 00:33:19,800 Speaker 1: it's how do you then, as a startup founder communicate 632 00:33:19,920 --> 00:33:23,160 Speaker 1: that to potential investors. You don't want to walk in like, Yo, 633 00:33:23,160 --> 00:33:25,280 Speaker 1: I'm black, I got the thing, you know, and because 634 00:33:25,400 --> 00:33:27,440 Speaker 1: we drive this, you got fund me? Like, how do 635 00:33:27,480 --> 00:33:30,760 Speaker 1: you communicate that in a way? Um, because there are 636 00:33:30,800 --> 00:33:33,440 Speaker 1: still people that you have to educate right on on 637 00:33:33,760 --> 00:33:37,240 Speaker 1: our impact and our opportunity. Yeah, this is where you know, 638 00:33:37,280 --> 00:33:39,560 Speaker 1: going back to the point earlier, the translating and the 639 00:33:39,640 --> 00:33:43,200 Speaker 1: deciphering the Silicon Valley language kind of code switching, something 640 00:33:43,200 --> 00:33:44,960 Speaker 1: that a lot of black people are very familiar with 641 00:33:45,000 --> 00:33:47,960 Speaker 1: and do in their everyday life when they're talking in there, 642 00:33:48,000 --> 00:33:50,720 Speaker 1: you know, with their friends versus when they're speaking at work. 643 00:33:50,880 --> 00:33:53,880 Speaker 1: There's something's very similar for when you're speaking to Silicon 644 00:33:53,960 --> 00:33:57,320 Speaker 1: Valley investors versus when you're maybe talking about your business 645 00:33:57,440 --> 00:34:00,240 Speaker 1: to your customers. And I think you know, some of 646 00:34:00,240 --> 00:34:03,000 Speaker 1: the ways that you can can phrase this is, you know, 647 00:34:03,120 --> 00:34:05,520 Speaker 1: if you maybe you're not going to walk into the 648 00:34:06,120 --> 00:34:08,759 Speaker 1: meeting thing exactly what you said, but you want to say, hey, 649 00:34:08,800 --> 00:34:12,080 Speaker 1: we have a super engaged audience base. This is the 650 00:34:12,160 --> 00:34:15,160 Speaker 1: daily active users, this is a monthly active users. This 651 00:34:15,200 --> 00:34:18,120 Speaker 1: is how much session time they're spending every day in 652 00:34:18,160 --> 00:34:20,680 Speaker 1: the app. This is how many friends they're inviting, This 653 00:34:20,760 --> 00:34:23,319 Speaker 1: is how you know, it's it's the type of things 654 00:34:23,400 --> 00:34:27,040 Speaker 1: that are the effects and results of having a lot 655 00:34:27,080 --> 00:34:29,200 Speaker 1: of this this culture. And you can also talk about 656 00:34:29,200 --> 00:34:31,160 Speaker 1: that maybe some of the results, but here's also the 657 00:34:31,200 --> 00:34:33,680 Speaker 1: way I have access to get to the right people 658 00:34:34,200 --> 00:34:35,880 Speaker 1: a lot of times. You know, Black people are very 659 00:34:35,920 --> 00:34:38,480 Speaker 1: very good at having access to a lot of different 660 00:34:38,760 --> 00:34:41,440 Speaker 1: interesting people. And frame that is like, this is my 661 00:34:41,520 --> 00:34:44,480 Speaker 1: go to market strategy, this is my user acquisition channel. 662 00:34:44,800 --> 00:34:47,360 Speaker 1: You know, I'm using slightly different terms, but it's the 663 00:34:47,400 --> 00:34:49,560 Speaker 1: same thing as saying I have a tight network of 664 00:34:49,560 --> 00:34:51,439 Speaker 1: a ton of people that can hit them up any 665 00:34:51,440 --> 00:34:57,239 Speaker 1: time a lot and so and they got exactly and 666 00:34:57,320 --> 00:34:59,600 Speaker 1: so you know, it's it's just being able to match 667 00:34:59,680 --> 00:35:01,480 Speaker 1: up to those words and be like, I have a 668 00:35:01,560 --> 00:35:04,920 Speaker 1: very sophisticated user requisition strategy where I will be able 669 00:35:04,920 --> 00:35:08,600 Speaker 1: to get a low customer cost of acquisition, you know it. 670 00:35:10,040 --> 00:35:28,759 Speaker 1: So yeah, we just need some of that. Translating Black 671 00:35:28,800 --> 00:35:31,359 Speaker 1: Tech Green Money is a production of Blackvity Afro Tech, 672 00:35:31,520 --> 00:35:33,879 Speaker 1: and it is produced by Morgan Dubon and me Well 673 00:35:33,960 --> 00:35:37,320 Speaker 1: Lucas with additional production support by Love Beach and Raven 674 00:35:37,360 --> 00:35:40,680 Speaker 1: near Bord. The special thank you to Michael Davis. It's 675 00:35:40,680 --> 00:35:43,359 Speaker 1: the cars van Yan, you know, like the wine. Yes, 676 00:35:43,400 --> 00:35:46,279 Speaker 1: that's his real name. Learn more about my guests and 677 00:35:46,360 --> 00:35:50,520 Speaker 1: other technis represent innovatives at afro tech dot com. Go 678 00:35:50,640 --> 00:35:52,839 Speaker 1: get your money, peace and love,