1 00:00:00,440 --> 00:00:03,800 Speaker 1: A couple of years ago, an entrepreneur named Jayce Wilson 2 00:00:03,920 --> 00:00:07,000 Speaker 1: was trying to raise money for his finance startup called Neighborly. 3 00:00:10,119 --> 00:00:12,399 Speaker 1: Jason is from a small town in Missouri, and he 4 00:00:12,480 --> 00:00:16,320 Speaker 1: started looking for local investors in Kansas City. I love 5 00:00:16,440 --> 00:00:20,200 Speaker 1: Kansas City with all my heart and tried for two 6 00:00:20,239 --> 00:00:22,919 Speaker 1: and a half years to really make something work there, 7 00:00:23,680 --> 00:00:26,520 Speaker 1: but he just couldn't get the help he needed. He 8 00:00:26,600 --> 00:00:29,600 Speaker 1: met with about twenty five investors and they all told 9 00:00:29,680 --> 00:00:33,640 Speaker 1: him no. It was heartbreaking, you know, because it was 10 00:00:33,880 --> 00:00:36,320 Speaker 1: we took it as we're just stupid, we're failures, you know, 11 00:00:36,360 --> 00:00:39,880 Speaker 1: like we can't do this. It took coming to California 12 00:00:39,920 --> 00:00:42,560 Speaker 1: to find somebody who believed in the company. I don't 13 00:00:42,560 --> 00:00:45,760 Speaker 1: think of him as a as a movie movie sorry, 14 00:00:45,720 --> 00:00:47,559 Speaker 1: and that's where he's got to start. But you know, 15 00:00:47,640 --> 00:00:51,280 Speaker 1: he's a very savvy business person, so I wasn't surprised 16 00:00:51,280 --> 00:00:55,320 Speaker 1: by him getting it like that. That investor he's talking about, 17 00:00:55,800 --> 00:01:01,280 Speaker 1: it's Ashton Kutcher, Yes, the Ashton Kutcher. For Jace. It 18 00:01:01,360 --> 00:01:03,400 Speaker 1: turned out to be easier to get money from a 19 00:01:03,440 --> 00:01:06,760 Speaker 1: world famous movie star and an investor in startups like 20 00:01:06,880 --> 00:01:11,559 Speaker 1: Uber and Airbnb than from investors back home. After all 21 00:01:11,560 --> 00:01:14,560 Speaker 1: the rejections he faced in Missouri, Jas came out to 22 00:01:14,640 --> 00:01:17,520 Speaker 1: California in two thousand and fourteen to enroll in a 23 00:01:17,560 --> 00:01:20,920 Speaker 1: startup accelerator kind of like a boot camp for founders 24 00:01:20,920 --> 00:01:24,039 Speaker 1: to help them build their businesses. The programs called five 25 00:01:24,280 --> 00:01:28,360 Speaker 1: D Startups, and it gave him some credibility in Silicon Valley, 26 00:01:28,400 --> 00:01:31,640 Speaker 1: but not back in Kansas City. I think it was 27 00:01:31,680 --> 00:01:35,840 Speaker 1: also people in Kansas City were looking at the D 28 00:01:35,920 --> 00:01:39,360 Speaker 1: name of the company and saying, you're not a finance guy. 29 00:01:39,680 --> 00:01:41,760 Speaker 1: You know, they were expecting something to show up in 30 00:01:41,800 --> 00:01:46,679 Speaker 1: a three piece suit and to you know, sort of 31 00:01:46,760 --> 00:01:50,240 Speaker 1: pattern pattern match with what they know from the world 32 00:01:50,280 --> 00:01:54,560 Speaker 1: of all my banking. Working more and more out of California, 33 00:01:54,840 --> 00:01:57,640 Speaker 1: Jason realized that he was tapping into some key advantages 34 00:01:57,680 --> 00:02:00,640 Speaker 1: in the Bay Area, so after closing a five point 35 00:02:00,720 --> 00:02:04,040 Speaker 1: five million dollar funding round that included a check from Ashton, 36 00:02:04,600 --> 00:02:07,920 Speaker 1: Jas decided to stay out West, abandoning his dream of 37 00:02:07,960 --> 00:02:21,560 Speaker 1: building his company in the show me State. Hi, I'm 38 00:02:21,560 --> 00:02:25,079 Speaker 1: brad Stone and I'm Sarah mcbrad and this week on 39 00:02:25,200 --> 00:02:29,520 Speaker 1: Decrypted will expore one of the technology industry's biggest contradictions 40 00:02:29,880 --> 00:02:33,280 Speaker 1: a lot of effort has gone into cultivating entrepreneurs outside 41 00:02:33,280 --> 00:02:36,800 Speaker 1: Silicon Valley, but building a startup someplace else can be 42 00:02:36,919 --> 00:02:40,640 Speaker 1: really tough. This isn't just in Kansas City, and the 43 00:02:40,720 --> 00:02:44,679 Speaker 1: experience isn't unique to Jason. It's something familiar to founders 44 00:02:44,720 --> 00:02:48,680 Speaker 1: in lots of smaller cities all across America, and it's 45 00:02:48,720 --> 00:02:52,639 Speaker 1: not for lack of smart people or big ideas. Often 46 00:02:52,680 --> 00:02:54,919 Speaker 1: the problem comes down to how much harder it can 47 00:02:54,960 --> 00:02:58,200 Speaker 1: be to get capital when you're away from big venture centers. 48 00:03:04,680 --> 00:03:09,000 Speaker 1: Think about this. Last year, venture capitalists invested sixty nine 49 00:03:09,080 --> 00:03:12,720 Speaker 1: billion in startup companies. That's billion with a B, but 50 00:03:12,800 --> 00:03:17,359 Speaker 1: almost all of it went to startups in California, Massachusetts, 51 00:03:17,400 --> 00:03:19,640 Speaker 1: and New York. If you're a startup and you're not 52 00:03:19,680 --> 00:03:23,120 Speaker 1: in any one of those places, good luck. And Kansas 53 00:03:23,120 --> 00:03:25,160 Speaker 1: City even got what it thought would be a huge 54 00:03:25,200 --> 00:03:29,080 Speaker 1: advantage Six years ago. Alphabet, the company we used to 55 00:03:29,120 --> 00:03:32,320 Speaker 1: call Google, said it would kick off a massive initiative 56 00:03:32,360 --> 00:03:35,360 Speaker 1: in Kansas City. Right at the time, Google wanted to 57 00:03:35,400 --> 00:03:39,200 Speaker 1: blank at the country with super fast, super cheap fiber internet, 58 00:03:39,320 --> 00:03:42,560 Speaker 1: starting with Kansas City. People from the mayor on down 59 00:03:42,680 --> 00:03:44,600 Speaker 1: thought that would do a lot for the city, and 60 00:03:44,640 --> 00:03:48,120 Speaker 1: in particular that it would jump start small technology companies. 61 00:03:49,120 --> 00:03:53,200 Speaker 1: Think of education, think of entertainment, think of e commerce, 62 00:03:53,560 --> 00:03:56,400 Speaker 1: think of attracting developers. And not only that, but it 63 00:03:56,480 --> 00:03:59,640 Speaker 1: just drives the economy around you. So for Kansas City, 64 00:03:59,640 --> 00:04:06,400 Speaker 1: it's been toasting. That's a Google executive Milo Meddon talking 65 00:04:06,400 --> 00:04:09,560 Speaker 1: in a video presentation during the announcement that Google Fiber 66 00:04:09,720 --> 00:04:13,560 Speaker 1: was coming to Kansas City. Over a thousand cities had 67 00:04:13,600 --> 00:04:16,320 Speaker 1: competed to be the first to get it in Kansas 68 00:04:16,360 --> 00:04:22,320 Speaker 1: City one, but not everything turned out like you said. 69 00:04:23,640 --> 00:04:27,320 Speaker 1: Google gave about a hundred schools in Kansas City free fiber, 70 00:04:27,720 --> 00:04:30,760 Speaker 1: and in some ways, Kansas City is doing great in education. 71 00:04:31,200 --> 00:04:35,240 Speaker 1: About forty of the population has at least an associate's degree. 72 00:04:35,520 --> 00:04:38,080 Speaker 1: That's way ahead of other cities in size, like Las 73 00:04:38,160 --> 00:04:42,200 Speaker 1: Vegas and Cleveland, but its economies growing slower than the 74 00:04:42,240 --> 00:04:45,279 Speaker 1: rest of the country. Things could be turning based on 75 00:04:45,360 --> 00:04:48,840 Speaker 1: some government economic data for last year, but in two 76 00:04:48,839 --> 00:04:53,040 Speaker 1: thousand twelve, two thousand thirteen, two thousand fourteen, and two 77 00:04:53,120 --> 00:05:03,400 Speaker 1: thousand fifteen, Kansas City grew slower than the rest of America. Also, 78 00:05:03,520 --> 00:05:07,119 Speaker 1: a smaller percentage of the population works for startups. Mayor 79 00:05:07,160 --> 00:05:11,680 Speaker 1: Mark Holland of Kansas City, Kansas said evaluating specific benefits 80 00:05:11,680 --> 00:05:14,720 Speaker 1: of Google Fiber is tough. One of the things it's 81 00:05:14,760 --> 00:05:18,760 Speaker 1: hard to measure is without this, would we have done worse. 82 00:05:19,240 --> 00:05:21,200 Speaker 1: He points to lots of ways the city has done 83 00:05:21,240 --> 00:05:24,880 Speaker 1: well over the long term, like overall job growth. I 84 00:05:25,000 --> 00:05:28,359 Speaker 1: do think Google has had an impact on that, but 85 00:05:28,440 --> 00:05:30,960 Speaker 1: I don't know if I'm if I would be the 86 00:05:31,040 --> 00:05:35,760 Speaker 1: right person to parse out percentage that represents. When it 87 00:05:35,800 --> 00:05:38,159 Speaker 1: comes to startups, It's not like there's no money to 88 00:05:38,240 --> 00:05:41,440 Speaker 1: spend on them. All around America. There's a ton in theory. 89 00:05:42,000 --> 00:05:46,480 Speaker 1: In Kansas City where Jason's some people are incredibly well off, 90 00:05:46,560 --> 00:05:50,119 Speaker 1: building big name art museums and hospitals. They also build 91 00:05:50,200 --> 00:05:54,159 Speaker 1: huge companies like Sprint and Hallmark. Driving around there, I 92 00:05:54,240 --> 00:06:00,960 Speaker 1: saw that it's a pretty city. It's green. You pass 93 00:06:01,080 --> 00:06:05,840 Speaker 1: landmarks all the time, performance halls and sports arenas, galleries, 94 00:06:06,360 --> 00:06:09,880 Speaker 1: lots of corporate headquarters. You can tell people care about 95 00:06:09,920 --> 00:06:14,600 Speaker 1: the place. The disconnect seems to be young companies. Entrepreneurs 96 00:06:14,640 --> 00:06:18,440 Speaker 1: say it's really really hard to get investors interested in 97 00:06:18,520 --> 00:06:21,839 Speaker 1: companies that don't have physical assets or are going to 98 00:06:21,920 --> 00:06:24,719 Speaker 1: take a long time to get any revenue. And yet 99 00:06:24,960 --> 00:06:28,760 Speaker 1: Jason's company is all about real stuff. He helps people 100 00:06:28,760 --> 00:06:31,800 Speaker 1: build things like parks and roads in their hometowns. His 101 00:06:31,880 --> 00:06:35,320 Speaker 1: ideas to make bonds for local public projects much easier 102 00:06:35,360 --> 00:06:38,320 Speaker 1: for everyday people to invest in, to give something a 103 00:06:38,320 --> 00:06:43,120 Speaker 1: little boring, a little zing. Make sexy again, right, Which 104 00:06:43,480 --> 00:06:46,200 Speaker 1: that's the top piece of advice Jay says he got 105 00:06:46,240 --> 00:06:49,080 Speaker 1: from Ashton Kutcher. It's even up on a poster right 106 00:06:49,120 --> 00:06:51,680 Speaker 1: when you walk into neighbor Lae office in San Francisco. 107 00:06:52,320 --> 00:06:56,040 Speaker 1: Let's hear that one more time. Make bond sexy again, right, 108 00:06:56,720 --> 00:07:00,880 Speaker 1: Which is a crazy silly phrase, right, But it's also 109 00:07:01,440 --> 00:07:03,280 Speaker 1: we think about it, you know, when we want to 110 00:07:03,279 --> 00:07:06,200 Speaker 1: bring people back to the habit of investing in the 111 00:07:06,240 --> 00:07:08,760 Speaker 1: community has to be fun and rewarding and sexy. Right. 112 00:07:08,800 --> 00:07:12,360 Speaker 1: It can't just be uh, you know, based on the 113 00:07:12,720 --> 00:07:15,680 Speaker 1: plane math. Has to be, you know, something that they 114 00:07:15,800 --> 00:07:20,040 Speaker 1: value beyond just the investment, because US bonds are is 115 00:07:20,120 --> 00:07:23,680 Speaker 1: such a a funky kind of you know, asset class 116 00:07:23,720 --> 00:07:26,680 Speaker 1: at this point, they you know, and it really needs 117 00:07:26,760 --> 00:07:29,240 Speaker 1: to be about the story of investing in your community. 118 00:07:29,720 --> 00:07:32,200 Speaker 1: Jason was telling me all this from his office just 119 00:07:32,320 --> 00:07:38,840 Speaker 1: off Union Square in San Francisco. It's a big shopping 120 00:07:38,880 --> 00:07:41,080 Speaker 1: district but also home to a lot of banks and 121 00:07:41,160 --> 00:07:44,520 Speaker 1: cooled cast iron buildings. Neighborli is in one of those, 122 00:07:44,560 --> 00:07:47,080 Speaker 1: and it's old school, no lobby. You just get buzzed 123 00:07:47,120 --> 00:07:49,680 Speaker 1: in from the street and ride the elevator up. They 124 00:07:49,720 --> 00:07:52,560 Speaker 1: have the whole sixth floor, but it's not actually so big, 125 00:07:52,600 --> 00:07:57,160 Speaker 1: one of those narrow railroad style buildings, high ceilings, exposed bricks, 126 00:07:57,200 --> 00:08:00,400 Speaker 1: typical startup. When you get off the elevator, you see 127 00:08:00,480 --> 00:08:02,960 Speaker 1: rows of old bond certificates hanging in front of you. 128 00:08:03,360 --> 00:08:06,600 Speaker 1: It's actually a California version of their office in Kansas City. 129 00:08:06,800 --> 00:08:10,200 Speaker 1: They still keep a foothold there. Yeah, we've got an 130 00:08:10,200 --> 00:08:14,440 Speaker 1: event space and then our office that's open, big windows, 131 00:08:15,120 --> 00:08:21,320 Speaker 1: lots of plants and fun things. That's Chris Parrot showing 132 00:08:21,360 --> 00:08:24,440 Speaker 1: me around neighbor Le's office in Kansas City. He's one 133 00:08:24,480 --> 00:08:29,680 Speaker 1: of Jason's co founders. We've got and that's the other 134 00:08:29,760 --> 00:08:33,559 Speaker 1: co founder, Patrick Hasti. He's the compliance officer. Chris is 135 00:08:33,600 --> 00:08:37,760 Speaker 1: the numbers guy. Super nice space. Frankly, I think um 136 00:08:37,840 --> 00:08:41,440 Speaker 1: for a very reasonable price, especially when compared to the 137 00:08:41,480 --> 00:08:44,719 Speaker 1: coasts or other larger cities. That's what I heard from 138 00:08:44,760 --> 00:08:47,360 Speaker 1: a lot of startups in Kansas City how little it 139 00:08:47,440 --> 00:08:50,600 Speaker 1: costs to do business there. But I got the sense 140 00:08:50,880 --> 00:08:53,959 Speaker 1: that could almost be a bad thing. Perhaps part of 141 00:08:54,000 --> 00:08:56,680 Speaker 1: the reason so many startups succeed in slicon valleys, that 142 00:08:56,720 --> 00:08:59,880 Speaker 1: there's so much pressure since that another company could eat 143 00:08:59,880 --> 00:09:02,760 Speaker 1: your lunch at any time. Why not. Entrepreneur told me 144 00:09:02,800 --> 00:09:06,080 Speaker 1: about how life in Kansas City was almost too easy. 145 00:09:06,400 --> 00:09:09,240 Speaker 1: He said it allowed people to dabble in starting companies 146 00:09:09,280 --> 00:09:12,240 Speaker 1: without really committing. He even had a word for it. 147 00:09:12,720 --> 00:09:16,319 Speaker 1: I ran it by Jay's from neighborly. Are you familiar 148 00:09:16,360 --> 00:09:22,760 Speaker 1: with the term entrepreneur? Entrepreneur? Somebody told me there are 149 00:09:22,800 --> 00:09:29,960 Speaker 1: a lot of entrepreneurs in Kansas City. Entrepreneur. Um, yeah, 150 00:09:30,240 --> 00:09:33,160 Speaker 1: let's see entrepreneur. What can you help me define it. 151 00:09:33,160 --> 00:09:35,800 Speaker 1: It's like somebody wants to be an entrepreneur, but they 152 00:09:36,080 --> 00:09:41,240 Speaker 1: because people aren't as comfortable with the concept of risk 153 00:09:42,200 --> 00:09:46,240 Speaker 1: do it on the side. Like the Jays said, in 154 00:09:46,280 --> 00:09:50,000 Speaker 1: some ways, starting a software business is actually riskier in 155 00:09:50,120 --> 00:09:56,240 Speaker 1: Kansas City. It gets back to, you know, in silicon value, 156 00:09:56,679 --> 00:10:01,160 Speaker 1: if an engineer commits to a project and you know, 157 00:10:01,200 --> 00:10:05,640 Speaker 1: they may you know, take lower uh salary for a 158 00:10:05,720 --> 00:10:09,040 Speaker 1: year or two and get a larger chunk of equity 159 00:10:09,080 --> 00:10:11,640 Speaker 1: and something that may or may not work out. Um, 160 00:10:11,720 --> 00:10:14,120 Speaker 1: but if that thing doesn't work out, you know, they're 161 00:10:14,120 --> 00:10:17,560 Speaker 1: not in an unemployment line for six months, or they're 162 00:10:17,559 --> 00:10:20,000 Speaker 1: not trying to retool their career to figure out how 163 00:10:20,000 --> 00:10:23,320 Speaker 1: they can remain relevant in the the future. They're being sought 164 00:10:23,360 --> 00:10:27,200 Speaker 1: after by ten other companies at any given time. Let's 165 00:10:27,200 --> 00:10:30,720 Speaker 1: play Devil's advocate here. That situation could really be a plus. 166 00:10:31,120 --> 00:10:33,160 Speaker 1: It might mean companies that do start up in the 167 00:10:33,160 --> 00:10:36,840 Speaker 1: Hartland have less turnover and can really focus. Yeah, while 168 00:10:36,880 --> 00:10:39,440 Speaker 1: I was in Kansas City, I met an entrepreneur called 169 00:10:39,520 --> 00:10:41,920 Speaker 1: make Farmer who spent a few years trying to get 170 00:10:41,920 --> 00:10:46,840 Speaker 1: a search company called Leap off the ground. He explained 171 00:10:46,880 --> 00:10:49,680 Speaker 1: something he noticed on a visit to Silicon Valley talking 172 00:10:49,760 --> 00:10:55,839 Speaker 1: with an Apple executive in a coffee shop near Stanford University. 173 00:10:57,040 --> 00:10:58,640 Speaker 1: She said, I don't know how you can do this 174 00:10:58,679 --> 00:11:02,480 Speaker 1: from Kansas City, just since this energy in this room, 175 00:11:02,480 --> 00:11:05,520 Speaker 1: and I actually took the complete opposite point of view 176 00:11:05,559 --> 00:11:07,880 Speaker 1: that you know, if you're gonna build something, it's going 177 00:11:07,920 --> 00:11:09,600 Speaker 1: to be very unique and it's going to have a 178 00:11:09,679 --> 00:11:13,839 Speaker 1: completely different point of view doing it on a call 179 00:11:13,880 --> 00:11:16,000 Speaker 1: it an island or a place like Kansas City. I 180 00:11:16,040 --> 00:11:19,280 Speaker 1: think you have a and you can tap in to 181 00:11:19,520 --> 00:11:23,640 Speaker 1: any of the relevant movements that are happening in in 182 00:11:23,840 --> 00:11:28,560 Speaker 1: technology UH and know how to leverage those as need be. 183 00:11:29,120 --> 00:11:31,600 Speaker 1: But you're able to stay really focused on what you're 184 00:11:32,160 --> 00:11:38,760 Speaker 1: wanting to build. Makes company didn't work out, but there's 185 00:11:38,800 --> 00:11:42,240 Speaker 1: evidence to back him up. Last year, the big Chinese 186 00:11:42,280 --> 00:11:45,440 Speaker 1: company Ali Baba spent a hundred million dollars buying a 187 00:11:45,520 --> 00:11:49,280 Speaker 1: Kansas City startup. I verify the scan veins in your 188 00:11:49,280 --> 00:11:51,360 Speaker 1: eye to figure out if you're who you say you are. 189 00:11:52,000 --> 00:11:55,720 Speaker 1: And another company, c Tufo, has raised a hundred million 190 00:11:55,760 --> 00:12:00,320 Speaker 1: dollars from investors like the big Singapore firm Tomask working 191 00:12:00,360 --> 00:12:03,960 Speaker 1: on some cool financing ideas around working capital. Noticed that 192 00:12:04,000 --> 00:12:07,679 Speaker 1: those companies got major backing from firms outside Kansas City. 193 00:12:07,800 --> 00:12:10,560 Speaker 1: That's because raising cash away from big venture centers like 194 00:12:10,559 --> 00:12:15,720 Speaker 1: San Francisco it's just too hard. Exactly. Here's Jay's talking 195 00:12:15,720 --> 00:12:17,960 Speaker 1: about trying to raise money a couple of years ago, 196 00:12:20,000 --> 00:12:22,640 Speaker 1: and at that time it was still you know, give 197 00:12:22,760 --> 00:12:27,640 Speaker 1: us your you know, your pro forma for five years. UM, 198 00:12:27,679 --> 00:12:30,080 Speaker 1: tell us how you're going to get to profitability in 199 00:12:30,080 --> 00:12:35,120 Speaker 1: the next year. It was tell us, you know what 200 00:12:35,200 --> 00:12:37,480 Speaker 1: physical assets you're gonna buy so that part of our 201 00:12:37,480 --> 00:12:41,880 Speaker 1: money isn't you know, is recoverable in the event that 202 00:12:42,000 --> 00:12:45,800 Speaker 1: this goes under. The problem is Neighborly was a startup. 203 00:12:45,840 --> 00:12:49,840 Speaker 1: They didn't have pro format revenue, that's essentially projected revenue, 204 00:12:50,120 --> 00:12:53,640 Speaker 1: and their path to profitability is years away. They didn't 205 00:12:53,640 --> 00:12:56,839 Speaker 1: need any physical assets and didn't plan to buy any. 206 00:12:56,960 --> 00:13:00,720 Speaker 1: For most investors in Kansas City, that made them bad bet. 207 00:13:01,520 --> 00:13:04,599 Speaker 1: Here's lancelom Ay, an investor at open Air, one of 208 00:13:04,640 --> 00:13:09,199 Speaker 1: the more established VC firms in Kansas City, talking about startups. 209 00:13:09,200 --> 00:13:13,400 Speaker 1: There probably a fair criticism for from some of the 210 00:13:14,440 --> 00:13:16,800 Speaker 1: you know, the founders of the entrepreneurs to say that 211 00:13:16,800 --> 00:13:18,840 Speaker 1: they're collector of being held with a higher standards. They 212 00:13:18,880 --> 00:13:21,240 Speaker 1: probably are, but that's not just the Kansas City issue, 213 00:13:21,240 --> 00:13:25,720 Speaker 1: and probably anywhere he means anywhere except Silicon Valley. In 214 00:13:25,760 --> 00:13:28,400 Speaker 1: place like Silicon Valley, you know, people probably air on 215 00:13:28,400 --> 00:13:31,360 Speaker 1: the side of taking more risks on at the Series 216 00:13:31,400 --> 00:13:33,640 Speaker 1: A level because they're because the fear of missing out 217 00:13:34,040 --> 00:13:37,520 Speaker 1: by Series A. He means the first investment round founders 218 00:13:37,520 --> 00:13:40,880 Speaker 1: ways after they've tapped out friends and family. I think 219 00:13:40,880 --> 00:13:43,720 Speaker 1: the biggest issue that we have here is probably you know, 220 00:13:43,760 --> 00:13:46,640 Speaker 1: we don't yet have um it's a chicken and the 221 00:13:46,640 --> 00:13:50,440 Speaker 1: egg problem. We don't have as many funds investing here 222 00:13:50,720 --> 00:13:52,439 Speaker 1: that are here and that are investing here as we 223 00:13:52,480 --> 00:13:55,959 Speaker 1: would like, and not the function of you know, having 224 00:13:56,000 --> 00:13:59,679 Speaker 1: more available startups to invest in, and the more successful 225 00:13:59,679 --> 00:14:01,840 Speaker 1: start so we have here, the more that old capital 226 00:14:01,920 --> 00:14:05,160 Speaker 1: to kind of feed. But Chase did get around that 227 00:14:05,240 --> 00:14:08,960 Speaker 1: lack of hometown capital, right. Jason was something of a 228 00:14:08,960 --> 00:14:11,640 Speaker 1: mover and shaker in Kansas City. He'd been part of 229 00:14:11,679 --> 00:14:14,560 Speaker 1: the group that helped convince Google to wire Kansas City 230 00:14:14,600 --> 00:14:17,680 Speaker 1: for fiber Internet, and through that project he got to 231 00:14:17,720 --> 00:14:21,920 Speaker 1: know another mover and shaker, Lisa Mitchell. Lisa introduced him 232 00:14:21,960 --> 00:14:25,360 Speaker 1: to an entrepreneur, Bow fish Back, who founded a startup 233 00:14:25,400 --> 00:14:28,320 Speaker 1: called Zarle, and Bow introduced him to one of his 234 00:14:28,360 --> 00:14:32,080 Speaker 1: own investors, Ashton Kutcher. Ashton grew up in a small 235 00:14:32,120 --> 00:14:35,240 Speaker 1: town in Iowa, not far from the small farm town 236 00:14:35,280 --> 00:14:38,560 Speaker 1: where Jays grew up in Missouri. Do you think part 237 00:14:38,560 --> 00:14:41,520 Speaker 1: of the appeal for Ashton was that he's a Midwesterner too, 238 00:14:41,640 --> 00:14:45,560 Speaker 1: and he liked to see, Yeah, he he has a 239 00:14:45,640 --> 00:14:50,200 Speaker 1: unique perspective. He's seen like the United States and communities 240 00:14:50,240 --> 00:14:52,800 Speaker 1: from the same eyes that I saw that like this 241 00:14:53,040 --> 00:14:56,160 Speaker 1: very small town right that a town center, and and 242 00:14:56,240 --> 00:14:58,760 Speaker 1: he gets community and he gets, you know, the need 243 00:14:58,840 --> 00:15:01,760 Speaker 1: to come together and to good projects like schools and 244 00:15:01,800 --> 00:15:07,360 Speaker 1: parks and libraries. And he's also exceptionally savvy as a 245 00:15:07,400 --> 00:15:17,080 Speaker 1: business person and understands how industries operate with middleman. Kansas 246 00:15:17,120 --> 00:15:21,040 Speaker 1: City has worked pretty hard to foster startup community. One 247 00:15:21,080 --> 00:15:23,720 Speaker 1: guy who has worked on it is Matthew Marcus. He's 248 00:15:23,760 --> 00:15:27,200 Speaker 1: helped pull together a community of entrepreneurs in a neighborhood 249 00:15:27,280 --> 00:15:32,440 Speaker 1: nicknamed Startup Village. Matthew showed me around and I asked 250 00:15:32,520 --> 00:15:35,640 Speaker 1: him whether it stings a little when a promising startup 251 00:15:35,680 --> 00:15:41,600 Speaker 1: like neighborly leads town. Oh gosh, no, not at all. Um. No, 252 00:15:41,720 --> 00:15:44,120 Speaker 1: I mean the thing is is that, I mean, entrepreneurship 253 00:15:44,200 --> 00:15:48,880 Speaker 1: obviously very difficult path, professional path. Um. You know, sometimes 254 00:15:48,880 --> 00:15:51,240 Speaker 1: a startup needs to go away from Kansas City or 255 00:15:51,280 --> 00:15:55,200 Speaker 1: elsewhere to get to the next level. UM. I always 256 00:15:55,240 --> 00:15:57,720 Speaker 1: wish him the best of luck, um, and I hope 257 00:15:57,760 --> 00:15:59,200 Speaker 1: they stay in touch. I mean it's almost like a 258 00:15:59,240 --> 00:16:01,640 Speaker 1: family member going off to the next phase of their 259 00:16:01,720 --> 00:16:03,760 Speaker 1: journey and is hey, well, we'll see again, I hope 260 00:16:03,760 --> 00:16:06,240 Speaker 1: and best of luck. He might end up saying that 261 00:16:06,280 --> 00:16:10,560 Speaker 1: to Google Fiber. Last year, Alphabet stopped fibers expansion to 262 00:16:10,640 --> 00:16:14,760 Speaker 1: more cities. Fiber laid off staff. The project CEO left 263 00:16:14,800 --> 00:16:17,600 Speaker 1: in October, and the new head is far more focused 264 00:16:17,640 --> 00:16:21,040 Speaker 1: on wireless. You could say that Fiber is on hold, 265 00:16:21,720 --> 00:16:24,520 Speaker 1: but the people in Kansas City who have it still 266 00:16:24,560 --> 00:16:28,240 Speaker 1: have it now. Other providers there off for fiber internet 267 00:16:28,280 --> 00:16:31,960 Speaker 1: to Plenty of people believe it's perfectly possible to nurture 268 00:16:31,960 --> 00:16:34,680 Speaker 1: startup communities almost anywhere in the country. One of the 269 00:16:34,680 --> 00:16:38,280 Speaker 1: most famous advocates is of venture capitalist named brad Feld. 270 00:16:38,480 --> 00:16:41,160 Speaker 1: Brad lives in Boulder, Colorado, a small town with a 271 00:16:41,160 --> 00:16:44,400 Speaker 1: lot of startups. He wrote a whole book on this idea, 272 00:16:44,640 --> 00:16:47,080 Speaker 1: and he also started a boot camp for startups called 273 00:16:47,320 --> 00:16:50,000 Speaker 1: tech Stars. It operates in a lot of cities he 274 00:16:50,040 --> 00:16:54,120 Speaker 1: wouldn't think of as big tech centers. That includes Kansas City, right. 275 00:16:54,160 --> 00:16:56,520 Speaker 1: Didn't brad Feld even by a house there? Yeah, he 276 00:16:56,560 --> 00:16:59,440 Speaker 1: did right after Google Fiber came to town. I actually 277 00:16:59,520 --> 00:17:03,720 Speaker 1: visited at house in January. Matthew Marcus, who also runs 278 00:17:03,720 --> 00:17:08,679 Speaker 1: the Kansas City Startup Foundation gave me a tour. Are 279 00:17:08,680 --> 00:17:17,920 Speaker 1: you kidding me? Wow? Brad Let's promising young entrepreneurs lived 280 00:17:17,960 --> 00:17:20,439 Speaker 1: there for free. Let's just say they don't always have 281 00:17:20,480 --> 00:17:23,199 Speaker 1: time for housekeeping. I can only imagine. So, Sarah, what 282 00:17:23,240 --> 00:17:25,959 Speaker 1: do you think can Kansas City join the ranks of 283 00:17:26,080 --> 00:17:29,359 Speaker 1: San Francisco and Beijing is one of the world's top 284 00:17:29,480 --> 00:17:32,679 Speaker 1: tech startup hubs. I've actually thought about it a lot, 285 00:17:32,800 --> 00:17:35,320 Speaker 1: and I think that a lot more cities are going 286 00:17:35,359 --> 00:17:37,920 Speaker 1: to become tech startup phubs. I think it's just going 287 00:17:37,960 --> 00:17:41,199 Speaker 1: to get easier for places all over the world. And 288 00:17:41,240 --> 00:17:44,240 Speaker 1: I think it has a lot to do with capital 289 00:17:44,600 --> 00:17:46,920 Speaker 1: that I think will be easier to get. I think 290 00:17:47,400 --> 00:17:50,920 Speaker 1: the fact Ali Baba went to Kansas City and invested 291 00:17:51,040 --> 00:17:55,320 Speaker 1: and didn't make the company leave town is huge. Yeah, 292 00:17:55,359 --> 00:17:58,840 Speaker 1: that's interesting. I mean, I think all these smaller cities 293 00:17:58,880 --> 00:18:00,719 Speaker 1: have a little bit of an uphill battle. It's not 294 00:18:00,800 --> 00:18:05,400 Speaker 1: just the availability of capital, but the absence of mentors 295 00:18:05,520 --> 00:18:09,440 Speaker 1: and other companies that established technology companies that can pave 296 00:18:09,480 --> 00:18:13,720 Speaker 1: the way and throw off experienced founders, the engineers who, 297 00:18:13,920 --> 00:18:17,080 Speaker 1: upon graduating, if they are great and qualified, they might 298 00:18:17,119 --> 00:18:19,320 Speaker 1: go seek out a place like San Francisco. On the 299 00:18:19,320 --> 00:18:22,040 Speaker 1: other hand, as we both know, the cost of living 300 00:18:22,480 --> 00:18:24,520 Speaker 1: on the coast is getting out of control, and so 301 00:18:24,640 --> 00:18:27,280 Speaker 1: maybe a place like Kansas City starts to be alluring 302 00:18:27,320 --> 00:18:30,080 Speaker 1: in that way as a sort of economic alternative. Right. 303 00:18:30,200 --> 00:18:33,360 Speaker 1: I think it's changing. It's just taking way way longer 304 00:18:33,400 --> 00:18:36,560 Speaker 1: than you'd think. And there are other problems there too, 305 00:18:36,600 --> 00:18:39,480 Speaker 1: Like they don't have a big university like Stanford that's 306 00:18:39,560 --> 00:18:45,159 Speaker 1: just spinning off engineers. They have some, but they're farther away. Right, Well, 307 00:18:45,240 --> 00:18:48,080 Speaker 1: let me ask you this question. Did Google over promise 308 00:18:48,160 --> 00:18:50,760 Speaker 1: with Google Fiber when it came to town. I think 309 00:18:50,800 --> 00:18:54,560 Speaker 1: with Google everyone just thought, gig a bit Internet. That 310 00:18:54,760 --> 00:18:59,359 Speaker 1: just sounds amazing. And the fact is, it seems like 311 00:19:00,080 --> 00:19:03,280 Speaker 1: but liked gig a bit Internet. It turned out, you know, 312 00:19:03,640 --> 00:19:06,639 Speaker 1: people like getting on the Internet a little faster. But 313 00:19:06,800 --> 00:19:09,840 Speaker 1: for most startups it really didn't make a big difference.