1 00:00:00,080 --> 00:00:02,120 Speaker 1: It's time for VC Spotlight, and today we're going to 2 00:00:02,160 --> 00:00:05,800 Speaker 1: talk about why Combinator. YC hosts two three month programs 3 00:00:05,840 --> 00:00:08,560 Speaker 1: a year to help a select group of startups and 4 00:00:08,600 --> 00:00:12,520 Speaker 1: founders in an accelerator program. One program runs from January 5 00:00:12,520 --> 00:00:16,120 Speaker 1: through March, and the other from June through August. The 6 00:00:16,120 --> 00:00:18,840 Speaker 1: Summer twenty twenty three batch has officially started, and for 7 00:00:18,880 --> 00:00:22,560 Speaker 1: the first time since the pandemic, YC is hosting the 8 00:00:22,560 --> 00:00:26,200 Speaker 1: group in person and all in the Bay Area. Of 9 00:00:26,239 --> 00:00:29,880 Speaker 1: the four thousand startups yc's funded since two thousand and five, 10 00:00:29,960 --> 00:00:34,400 Speaker 1: many have become household names, including Airbnb and Stripe. Joining 11 00:00:34,479 --> 00:00:37,800 Speaker 1: us to discuss Gary Tan, the CEO of y Combinator, 12 00:00:37,840 --> 00:00:40,720 Speaker 1: Welcome to Bloomberg Technology. It's great to have you here 13 00:00:41,080 --> 00:00:41,680 Speaker 1: in person. 14 00:00:42,120 --> 00:00:44,640 Speaker 2: Thank you so much for having me in San Francisco, 15 00:00:45,120 --> 00:00:46,480 Speaker 2: in the epicenter of tech. 16 00:00:47,360 --> 00:00:48,319 Speaker 3: And we will get to that. 17 00:00:48,400 --> 00:00:50,840 Speaker 1: And that is your message to this class of Summer 18 00:00:50,840 --> 00:00:55,280 Speaker 1: twenty twenty three. Why so insistent that this group be 19 00:00:55,440 --> 00:00:56,200 Speaker 1: here in person? 20 00:00:56,320 --> 00:00:56,960 Speaker 4: Absolutely so. 21 00:00:57,000 --> 00:00:59,600 Speaker 2: As you know, hy Combinator funds people at the earliest 22 00:00:59,600 --> 00:01:02,960 Speaker 2: possible stage, sometimes when it's literally just an idea and 23 00:01:03,000 --> 00:01:06,399 Speaker 2: a couple co founders, and so really in order to 24 00:01:06,400 --> 00:01:08,679 Speaker 2: go from zero to one, to create something that has 25 00:01:08,760 --> 00:01:12,399 Speaker 2: never existed before. There's nothing like having the energy of 26 00:01:12,520 --> 00:01:15,920 Speaker 2: people in person, not just right next to each other, 27 00:01:15,959 --> 00:01:18,520 Speaker 2: writing the code and shipping it to users. You know, 28 00:01:18,600 --> 00:01:20,520 Speaker 2: that you could do from any living room or any 29 00:01:20,520 --> 00:01:24,760 Speaker 2: bedroom in the world. There's something special about hundreds of 30 00:01:25,080 --> 00:01:29,479 Speaker 2: founders coming together and actually helping each other. And that's 31 00:01:29,520 --> 00:01:32,399 Speaker 2: really why YC has been so successful over the number 32 00:01:32,400 --> 00:01:32,679 Speaker 2: of years. 33 00:01:32,800 --> 00:01:34,959 Speaker 1: Really were the same Bay area, but really the message 34 00:01:34,959 --> 00:01:36,280 Speaker 1: from you is time Francisco. 35 00:01:36,600 --> 00:01:38,919 Speaker 2: Yeah, I think San Francisco in particular, what the AI 36 00:01:39,000 --> 00:01:42,840 Speaker 2: boom is really about. Cerebral Valley, which we call Hayes 37 00:01:42,920 --> 00:01:46,120 Speaker 2: Valley right down the street. There's something very special happening 38 00:01:46,160 --> 00:01:50,000 Speaker 2: here where literally the foundational models, the open source, the 39 00:01:50,000 --> 00:01:52,640 Speaker 2: smartest people in the world are sitting in those cafes. 40 00:01:53,560 --> 00:01:57,280 Speaker 2: You're having discussions not just about starting their companies, but 41 00:01:57,320 --> 00:01:59,920 Speaker 2: also what is the cutting edge of what these AI 42 00:02:00,080 --> 00:02:00,760 Speaker 2: models can do. 43 00:02:01,280 --> 00:02:02,520 Speaker 3: Let's go through the mechanics of it. 44 00:02:02,760 --> 00:02:05,800 Speaker 1: You know, the initial investment pledge is five hundred thousand 45 00:02:05,880 --> 00:02:09,440 Speaker 1: US dollars to each of the startups and then a 46 00:02:09,480 --> 00:02:12,440 Speaker 1: three month program, you know, going through the operational side 47 00:02:12,480 --> 00:02:12,840 Speaker 1: of things. 48 00:02:12,880 --> 00:02:14,840 Speaker 3: But what happens in that time. 49 00:02:14,760 --> 00:02:17,600 Speaker 2: Absolutely, I think the most important thing that's crazy to 50 00:02:17,639 --> 00:02:19,840 Speaker 2: me is the people who. 51 00:02:19,880 --> 00:02:20,960 Speaker 4: Start these companies. 52 00:02:21,120 --> 00:02:23,720 Speaker 2: They are the most eminent of all of the people 53 00:02:23,720 --> 00:02:26,040 Speaker 2: who could be starting companies at that moment. So we 54 00:02:26,080 --> 00:02:29,640 Speaker 2: had more than twenty four thousand applications for about two. 55 00:02:29,600 --> 00:02:30,600 Speaker 4: Hundred and forty spots. 56 00:02:30,639 --> 00:02:32,239 Speaker 3: Twenty four thousand was a record. 57 00:02:32,040 --> 00:02:32,480 Speaker 4: That's right. 58 00:02:32,800 --> 00:02:36,440 Speaker 2: So our acceptance rate was just under one percent, which 59 00:02:36,520 --> 00:02:39,200 Speaker 2: it's never been as selective as today. 60 00:02:39,680 --> 00:02:41,880 Speaker 4: But that means that those people in that. 61 00:02:41,919 --> 00:02:45,000 Speaker 2: Room, they actually go on to become the most eminent 62 00:02:45,040 --> 00:02:46,679 Speaker 2: people in startup them. 63 00:02:46,800 --> 00:02:49,560 Speaker 1: Sorry to interrupt, but what does that data represent If 64 00:02:49,600 --> 00:02:53,079 Speaker 1: you had the most applications on record and you're accepting 65 00:02:53,080 --> 00:02:55,720 Speaker 1: the fewest on record, what does that tell you about 66 00:02:55,720 --> 00:02:57,360 Speaker 1: the big picture of this economy. 67 00:02:57,840 --> 00:02:59,760 Speaker 2: Well, I think at the end of the day, we're 68 00:02:59,760 --> 00:03:03,000 Speaker 2: trying to set these founders up for success, and so 69 00:03:03,840 --> 00:03:07,640 Speaker 2: if there is ongoing high interest rates, one of the 70 00:03:07,680 --> 00:03:09,880 Speaker 2: things that we're really trying to focus on is how 71 00:03:09,880 --> 00:03:12,520 Speaker 2: do we make sure the founders we do fund are 72 00:03:12,560 --> 00:03:15,240 Speaker 2: the people who are most likely to go on and succeed. 73 00:03:15,800 --> 00:03:18,919 Speaker 2: And so, you know, in a time of cheap capital 74 00:03:19,240 --> 00:03:22,560 Speaker 2: that means that maybe we can fund more people in 75 00:03:22,600 --> 00:03:26,680 Speaker 2: a time of more distress, like right now, we have 76 00:03:26,760 --> 00:03:29,960 Speaker 2: to be much more mindful of what are those businesses 77 00:03:30,160 --> 00:03:34,160 Speaker 2: and can we see really great revenue, great gross margin. 78 00:03:34,240 --> 00:03:36,000 Speaker 2: And that's one of the big reasons why today we 79 00:03:36,080 --> 00:03:38,920 Speaker 2: launched our top Companies list that's on our website. 80 00:03:38,960 --> 00:03:41,360 Speaker 1: Today we can discuss the top companies this I think 81 00:03:41,400 --> 00:03:43,120 Speaker 1: I want to go back to the mechanics because what 82 00:03:43,200 --> 00:03:46,840 Speaker 1: surprises so many people, whether you cool hy combinator, an accelerator, 83 00:03:47,240 --> 00:03:49,880 Speaker 1: or an incubator, it's just a three month program. 84 00:03:50,040 --> 00:03:51,800 Speaker 3: How can you get anything done in that time? 85 00:03:52,200 --> 00:03:54,120 Speaker 2: Well, I think the cool thing that I get to 86 00:03:54,160 --> 00:03:56,720 Speaker 2: do is I get to work with twelve of some 87 00:03:56,800 --> 00:04:00,160 Speaker 2: of my closest friends who are known as group partners. 88 00:04:00,160 --> 00:04:03,640 Speaker 2: And the big thing that's different now is actually as CEO, 89 00:04:04,560 --> 00:04:06,880 Speaker 2: I am actually also a group partner, So we actually 90 00:04:06,880 --> 00:04:09,960 Speaker 2: have thirteen people working with the companies. And so these 91 00:04:10,000 --> 00:04:12,200 Speaker 2: are some of the people who literally worked with these 92 00:04:12,240 --> 00:04:16,479 Speaker 2: top revenue and top valuation companies from the zero to 93 00:04:16,560 --> 00:04:20,839 Speaker 2: one stage, literally a few people just starting out. For me, 94 00:04:21,279 --> 00:04:23,480 Speaker 2: I got the privilege of working with a por Vimetta 95 00:04:23,560 --> 00:04:27,920 Speaker 2: from instacart or Brian Armstrong from coinbase, or Kyle Vote 96 00:04:27,920 --> 00:04:31,160 Speaker 2: from Cruz Automation. These are all companies that have gone 97 00:04:31,200 --> 00:04:34,040 Speaker 2: on to sort of change both their industry but also 98 00:04:34,120 --> 00:04:37,240 Speaker 2: tech broadly. But I can't tell you how crazy it 99 00:04:37,320 --> 00:04:41,240 Speaker 2: is to meet people when it's literally a YC application 100 00:04:41,400 --> 00:04:44,000 Speaker 2: on the web. And that's really I think one of 101 00:04:44,080 --> 00:04:48,159 Speaker 2: the great innovations of our time that Paul Graham, the founder. 102 00:04:47,880 --> 00:04:49,360 Speaker 4: Of YC, came up with. 103 00:04:49,640 --> 00:04:52,600 Speaker 2: Here's this website where you go to y combinator, dot com, 104 00:04:52,720 --> 00:04:56,120 Speaker 2: slash apply and anyone with an idea anywhere in the 105 00:04:56,160 --> 00:04:59,320 Speaker 2: world on the Internet can apply and someone will go 106 00:04:59,400 --> 00:05:02,080 Speaker 2: and read it, and our community will figure out, hey, 107 00:05:02,120 --> 00:05:04,560 Speaker 2: should this person be a part of our community. 108 00:05:04,839 --> 00:05:07,080 Speaker 1: Of the twenty four thousand that applied and then the 109 00:05:07,080 --> 00:05:09,320 Speaker 1: two hundred and forty that were accepted, I guess the 110 00:05:09,400 --> 00:05:11,000 Speaker 1: question goes to, like, what do they have in common? 111 00:05:11,760 --> 00:05:15,080 Speaker 1: Or paradoxically, are any of them not AI companies? 112 00:05:15,240 --> 00:05:15,400 Speaker 4: Oh? 113 00:05:15,440 --> 00:05:18,200 Speaker 2: Yeah, so, actually only thirty five percent of the companies 114 00:05:18,240 --> 00:05:21,640 Speaker 2: in this batch are specifically AI focused. I'd say maybe 115 00:05:21,640 --> 00:05:25,040 Speaker 2: half of them have some AI component. YC has always 116 00:05:25,080 --> 00:05:27,520 Speaker 2: been generalists, you know, That's how YC was able to 117 00:05:27,560 --> 00:05:31,720 Speaker 2: fund Coinbase. Really even years before anyone he'd even heard 118 00:05:31,720 --> 00:05:34,919 Speaker 2: of bitcoin. And I think the key message here is 119 00:05:34,960 --> 00:05:37,279 Speaker 2: that the best people in the world to sort of 120 00:05:37,320 --> 00:05:40,640 Speaker 2: create these startups are actually the technologists, the builders, who 121 00:05:40,640 --> 00:05:42,800 Speaker 2: are just a few people writing lines of code. It's 122 00:05:42,800 --> 00:05:45,799 Speaker 2: a very fringe thing. And what YC does. 123 00:05:45,680 --> 00:05:47,600 Speaker 4: Is take people who otherwise would be. 124 00:05:47,600 --> 00:05:50,520 Speaker 2: On the fringe, but they're some of the most technically 125 00:05:50,600 --> 00:05:51,920 Speaker 2: and engineering wise. 126 00:05:51,680 --> 00:05:54,560 Speaker 4: Brilliant people in the world, and you know, we sort of. 127 00:05:54,520 --> 00:05:57,000 Speaker 2: Teach them how the pieces move, you know, we teach 128 00:05:57,040 --> 00:06:00,719 Speaker 2: them chess, the part of you know, building business that 129 00:06:01,640 --> 00:06:06,279 Speaker 2: frankly is the easier part to being highly technical and 130 00:06:06,320 --> 00:06:09,000 Speaker 2: being on the cutting edge of what's happening in technology. 131 00:06:09,240 --> 00:06:11,760 Speaker 1: Gary, how do you ensure you've got the funds to 132 00:06:11,839 --> 00:06:16,320 Speaker 1: deploy every year for two programs? Is there still LP 133 00:06:16,480 --> 00:06:18,080 Speaker 1: interest in backing you? 134 00:06:18,320 --> 00:06:18,880 Speaker 4: Absolutely? 135 00:06:18,880 --> 00:06:21,120 Speaker 2: I Mean one of the amazing things about YC is 136 00:06:21,120 --> 00:06:24,000 Speaker 2: if you look at every single top venture capital firm 137 00:06:24,080 --> 00:06:26,880 Speaker 2: in the world, pretty much all of them have a 138 00:06:27,040 --> 00:06:30,440 Speaker 2: YC company that is either on their homepage or often 139 00:06:31,279 --> 00:06:33,840 Speaker 2: multiple of them that have become fund returners for those 140 00:06:33,920 --> 00:06:34,640 Speaker 2: VC funds. 141 00:06:34,839 --> 00:06:38,760 Speaker 1: So to me, why stays becoming LPs in themselves? I mean, 142 00:06:38,800 --> 00:06:42,240 Speaker 1: where are you getting the funds from oh and really speaking. 143 00:06:41,960 --> 00:06:44,840 Speaker 2: All the same kind of limited partners that you would 144 00:06:44,839 --> 00:06:47,159 Speaker 2: expect in venture capital. And that makes sense because YC 145 00:06:47,480 --> 00:06:51,200 Speaker 2: to me is actually the fountain of prosperity for this 146 00:06:51,320 --> 00:06:52,640 Speaker 2: type of activity. 147 00:06:52,160 --> 00:06:53,200 Speaker 4: In the world. 148 00:06:54,200 --> 00:06:56,640 Speaker 1: Two pieces of news. So we've got through the class 149 00:06:56,640 --> 00:06:59,200 Speaker 1: of summer twenty twenty three. You're also publishing this list 150 00:06:59,760 --> 00:07:03,640 Speaker 1: of of the top net revenue generating companies you backed 151 00:07:03,640 --> 00:07:04,479 Speaker 1: in twenty twenty. 152 00:07:04,360 --> 00:07:06,400 Speaker 3: Two, private or otherwise. 153 00:07:06,480 --> 00:07:09,600 Speaker 1: Why, I mean, those are two different scales, ends of 154 00:07:09,600 --> 00:07:10,120 Speaker 1: the scale. 155 00:07:10,240 --> 00:07:13,120 Speaker 2: Yeah, you know, the reality is, and this is no 156 00:07:13,240 --> 00:07:16,080 Speaker 2: news to anyone, you know, twenty twenty one was such 157 00:07:16,120 --> 00:07:18,600 Speaker 2: an extreme sort of time and one of the things 158 00:07:18,600 --> 00:07:22,160 Speaker 2: that we became very concerned about, because we actually want 159 00:07:22,200 --> 00:07:24,080 Speaker 2: to be a bellweather of trying to teach the next 160 00:07:24,160 --> 00:07:27,480 Speaker 2: generation what they should focus on. There was this over 161 00:07:27,560 --> 00:07:30,880 Speaker 2: reliance on thinking about what's my next round. You know, 162 00:07:31,000 --> 00:07:33,160 Speaker 2: the fast money meant that you were going to chase 163 00:07:33,240 --> 00:07:36,360 Speaker 2: top line growth at all costs, and of course now 164 00:07:36,360 --> 00:07:38,520 Speaker 2: we're on the other side of a very deep hangover 165 00:07:38,680 --> 00:07:42,280 Speaker 2: about that, and so we thought, how do we as 166 00:07:42,280 --> 00:07:46,120 Speaker 2: a community put forward the things that founders and people 167 00:07:46,160 --> 00:07:48,000 Speaker 2: who are sort of creating this technology. 168 00:07:48,040 --> 00:07:49,400 Speaker 4: What should they be thinking about? 169 00:07:49,680 --> 00:07:52,040 Speaker 2: And right now you know now more than ever, it's 170 00:07:52,080 --> 00:07:55,640 Speaker 2: about gross margin. It's actually about net revenue sort of. 171 00:07:56,160 --> 00:07:58,640 Speaker 2: One of the things I'm calling it is literally edible revenue. 172 00:07:58,880 --> 00:08:01,200 Speaker 2: And one of the wild things edible just can you 173 00:08:01,240 --> 00:08:04,480 Speaker 2: pay people? Can you pay salaries? Can you actually run 174 00:08:04,520 --> 00:08:08,560 Speaker 2: your operations on this revenue? And what's funny is looking 175 00:08:08,560 --> 00:08:12,680 Speaker 2: at the different financial and accounting sort of shenanigans that 176 00:08:12,720 --> 00:08:15,720 Speaker 2: people pull often it's about sort of hiding this number. 177 00:08:15,960 --> 00:08:19,080 Speaker 2: So I think maybe we should make this an industry standard, 178 00:08:19,160 --> 00:08:21,560 Speaker 2: like should you know whether or not it's a marketplace 179 00:08:21,720 --> 00:08:24,760 Speaker 2: or you know, there are lots of different specific accounting 180 00:08:24,840 --> 00:08:26,520 Speaker 2: rules for specific comps. 181 00:08:26,520 --> 00:08:27,520 Speaker 4: But why is that. 182 00:08:27,680 --> 00:08:31,120 Speaker 2: Shouldn't we just use one metric that actually will allow 183 00:08:31,240 --> 00:08:33,800 Speaker 2: founders to make the right decision, which is to build 184 00:08:34,000 --> 00:08:37,600 Speaker 2: great sustainable companies and know that they can grow. 185 00:08:37,920 --> 00:08:38,920 Speaker 4: Over the long term. 186 00:08:39,160 --> 00:08:41,960 Speaker 1: We should talk about San Francisco and where to build 187 00:08:42,000 --> 00:08:44,240 Speaker 1: for the long term. I mean, your position on this 188 00:08:44,320 --> 00:08:49,599 Speaker 1: city is well known, but as of today, where is 189 00:08:49,640 --> 00:08:50,160 Speaker 1: your head at? 190 00:08:50,320 --> 00:08:51,400 Speaker 4: Yeah? Absolutely, you know. 191 00:08:51,800 --> 00:08:54,559 Speaker 2: The great thing about San Francisco to me is that 192 00:08:55,400 --> 00:08:57,640 Speaker 2: it gave me everything I have I learned a code 193 00:08:57,679 --> 00:09:00,840 Speaker 2: in the city taking bart into Petrero Hill in web 194 00:09:00,880 --> 00:09:03,479 Speaker 2: one point zero, I learned how to make database backed websites. 195 00:09:03,720 --> 00:09:07,280 Speaker 2: And what I realize is San Francisco and the Bay 196 00:09:07,320 --> 00:09:10,319 Speaker 2: Area is the place that is a magnet for all 197 00:09:10,320 --> 00:09:12,200 Speaker 2: of the most technical people in the world. And when 198 00:09:12,240 --> 00:09:14,520 Speaker 2: you have those type of agglomeration effects, when you have 199 00:09:14,840 --> 00:09:17,720 Speaker 2: all the smartest, most brilliant, most driven people in the 200 00:09:17,760 --> 00:09:20,360 Speaker 2: world coming here, of course they're going to create wealth. 201 00:09:20,360 --> 00:09:22,839 Speaker 1: But we have problems as well, and you've been very 202 00:09:22,920 --> 00:09:26,160 Speaker 1: vocal acknowledging them absolutely. And I guess where my question 203 00:09:26,200 --> 00:09:29,000 Speaker 1: goes is how much more deeply you would be involved 204 00:09:29,400 --> 00:09:33,640 Speaker 1: in political cycles, putting money into initiatives and candidates, you 205 00:09:33,760 --> 00:09:35,679 Speaker 1: yourself being involved in politics. 206 00:09:36,000 --> 00:09:38,800 Speaker 2: Well, some of my friends started an organization called growsf 207 00:09:38,800 --> 00:09:41,200 Speaker 2: which is one of the most important things. How do 208 00:09:41,280 --> 00:09:43,839 Speaker 2: we take really some of the smartest people who have 209 00:09:43,920 --> 00:09:46,520 Speaker 2: created this wealth, and how do we have an impact 210 00:09:46,559 --> 00:09:50,679 Speaker 2: that's positive on our local economy. We want that wealth 211 00:09:50,760 --> 00:09:52,719 Speaker 2: to actually be shared with everyone. I think a lot 212 00:09:52,720 --> 00:09:55,840 Speaker 2: of people criticize tech and tech people broadly as sort 213 00:09:55,840 --> 00:10:00,720 Speaker 2: of Anne Randian libertarians, and speaking for myself and my friends, 214 00:10:00,880 --> 00:10:05,520 Speaker 2: you know, We're not Randians where Gene Rodenberry type of 215 00:10:06,200 --> 00:10:09,800 Speaker 2: Gene Rodenberry is sort of our spiritual future. You know, 216 00:10:09,880 --> 00:10:12,800 Speaker 2: what we believe is Starfleet Academy was in San Francisco 217 00:10:12,960 --> 00:10:15,920 Speaker 2: for a reason, and we can actually build San Francisco 218 00:10:15,960 --> 00:10:19,280 Speaker 2: into San Francoccio if we actually have the right policies 219 00:10:19,440 --> 00:10:21,880 Speaker 2: and the right politicians in place. And in November of 220 00:10:21,880 --> 00:10:23,800 Speaker 2: twenty twenty four, I think if. 221 00:10:23,640 --> 00:10:26,600 Speaker 4: You follow GROWSUF, you'll see our plan to make that happen. 222 00:10:26,640 --> 00:10:28,520 Speaker 1: This is the first opportunity I've had speech to you 223 00:10:28,559 --> 00:10:31,440 Speaker 1: since the collapse of Silicon Valley Bank, and the commonality 224 00:10:31,480 --> 00:10:34,400 Speaker 1: of y Combinator is that SVB was often the first 225 00:10:34,720 --> 00:10:35,360 Speaker 1: institution to. 226 00:10:35,320 --> 00:10:35,880 Speaker 3: Write a check. 227 00:10:36,400 --> 00:10:41,360 Speaker 1: Bloomberg reported last week that the FDIC had mistakenly released 228 00:10:41,360 --> 00:10:46,120 Speaker 1: this document to our news organization that revealed the backstop 229 00:10:46,280 --> 00:10:49,199 Speaker 1: on all depositors with balances exceeding two hundred and fifty thousand. 230 00:10:49,720 --> 00:10:54,319 Speaker 1: Was also inclusive of Sequoia and many large tech startups 231 00:10:54,400 --> 00:10:58,000 Speaker 1: that didn't need it. Frankly, and you were an advocate 232 00:10:58,080 --> 00:11:00,320 Speaker 1: for that initiative in the first place. On the mot 233 00:11:00,360 --> 00:11:02,400 Speaker 1: side of things, what's your kind of thoughts on that 234 00:11:02,480 --> 00:11:03,800 Speaker 1: and reaction absolutely. 235 00:11:03,880 --> 00:11:06,560 Speaker 2: You know, I think the hard part about SVB is 236 00:11:06,600 --> 00:11:08,680 Speaker 2: that it really did hit the little guy. 237 00:11:08,800 --> 00:11:10,440 Speaker 4: You know what I realized for us. 238 00:11:10,480 --> 00:11:13,400 Speaker 2: You know, YC has funded over four thousand companies, and 239 00:11:13,480 --> 00:11:16,120 Speaker 2: of course the top one hundred, top two hundred are 240 00:11:16,160 --> 00:11:18,320 Speaker 2: some of the biggest names that you could think of. 241 00:11:19,160 --> 00:11:24,360 Speaker 2: But what the backstop was really about was saving the 242 00:11:24,400 --> 00:11:28,800 Speaker 2: tens of thousands of small and medium sized businesses that literally. 243 00:11:28,400 --> 00:11:29,800 Speaker 4: Would not be able to make payroll. 244 00:11:30,000 --> 00:11:33,080 Speaker 2: And I think this fact coming out doesn't change any 245 00:11:33,120 --> 00:11:36,600 Speaker 2: of that. We would have set back technology perhaps you know, 246 00:11:36,760 --> 00:11:39,400 Speaker 2: five years, perhaps a decade if you just suddenly killed, 247 00:11:39,760 --> 00:11:42,920 Speaker 2: you know, at a very early stage of company. And so, 248 00:11:43,400 --> 00:11:46,640 Speaker 2: you know, I hear that argument, but the truth remains 249 00:11:46,679 --> 00:11:49,319 Speaker 2: that there were hundreds of thousands of jobs that were 250 00:11:49,360 --> 00:11:52,280 Speaker 2: saved in that moment. And I think the FED and 251 00:11:52,320 --> 00:11:55,360 Speaker 2: the FDIC and the people in charge they did the 252 00:11:55,440 --> 00:11:55,840 Speaker 2: right thing. 253 00:11:56,040 --> 00:11:56,360 Speaker 3: Gary. 254 00:11:56,640 --> 00:11:58,400 Speaker 1: When I think of you, I think have also that 255 00:11:58,480 --> 00:12:02,680 Speaker 1: initialized and you returned to I see in January. You 256 00:12:02,679 --> 00:12:06,840 Speaker 1: are the key man alongside Alexis Ahanian and you've kind 257 00:12:06,880 --> 00:12:09,760 Speaker 1: of come back to Y see quickly. How did that 258 00:12:09,880 --> 00:12:13,080 Speaker 1: conversation go with LPs of initialized and is it now 259 00:12:13,120 --> 00:12:14,760 Speaker 1: just all alexis initialized. 260 00:12:14,880 --> 00:12:17,120 Speaker 2: Oh so alexis left to start his own fund called 261 00:12:17,160 --> 00:12:19,719 Speaker 2: seven sent six a number of years ago. The new 262 00:12:19,760 --> 00:12:22,800 Speaker 2: managing partners are Brett Gibson and Jen Wolf. 263 00:12:22,880 --> 00:12:24,760 Speaker 4: They've done an incredible job. 264 00:12:24,800 --> 00:12:27,599 Speaker 2: I mean, the number one thing I love is that 265 00:12:27,960 --> 00:12:31,000 Speaker 2: in venture, the best and highest to me is not 266 00:12:31,040 --> 00:12:33,920 Speaker 2: to elevate a single person, but to really create an 267 00:12:33,920 --> 00:12:37,800 Speaker 2: institution that lasts well beyond anyone who sort of started 268 00:12:37,840 --> 00:12:39,880 Speaker 2: the business. And you know, I looked at Paul Graham 269 00:12:39,920 --> 00:12:43,800 Speaker 2: and Jessica Livingston who created YC for us. They're still there, 270 00:12:44,160 --> 00:12:47,559 Speaker 2: but they made space for what is now an institution, 271 00:12:47,760 --> 00:12:51,760 Speaker 2: and I am merely the steward of that institution going forward. 272 00:12:51,840 --> 00:12:53,480 Speaker 1: Why he culminated to see a Gary town. Was so 273 00:12:53,559 --> 00:12:55,760 Speaker 1: grateful for your time here in San Francisco.