1 00:00:06,600 --> 00:00:09,170 So let's talk about the kind of ugly side of U.S. 2 00:00:11,090 --> 00:00:18,290 The ratio of opportunities presented to to White Star, but also to a number of other funds that have said it publicly. 3 00:00:18,290 --> 00:00:23,540 And the number of deals that will do is 100 to 1. I will say no to an investment 99% of the time. 4 00:00:25,480 --> 00:00:29,469 So just keep that in mind as you eventually, someday do a pitch to A, B, C, and you get that. 5 00:00:29,470 --> 00:00:34,920 No, it's not you, it's me. It's just simply it's a I mean, it's a it's a funnel issue, right? 6 00:00:34,930 --> 00:00:41,739 If you have a thousand companies pitching you every year and you have a capacity to do the deals, 7 00:00:41,740 --> 00:00:47,740 finding the right one at the right point in this kind of growth cycle where you actually believe in the 8 00:00:47,740 --> 00:00:52,450 team and you actually believe in the market where you actually don't necessarily already have a conflict. 9 00:00:52,450 --> 00:00:57,370 Another company in the space where it's the right timing because you're not doing three other deals 10 00:00:57,370 --> 00:01:01,000 in parallel and your headspace allows you to go focus on that deal and do the due diligence. 11 00:01:03,300 --> 00:01:05,910 All those things coming together will only happen one in 100 times. 12 00:01:07,160 --> 00:01:11,690 And this this actually this stat has been reported by a number of funds in the U.S. 13 00:01:11,720 --> 00:01:17,510 Passion Capital in London. Seedcamp has similar stats. 14 00:01:17,840 --> 00:01:21,350 So it's not it's not only us, it's in general. That's the gist of it. 15 00:01:21,920 --> 00:01:28,160 Most of the opportunities that come to us come directly through our website, and we have never invested in a company that came through a website. 16 00:01:29,290 --> 00:01:35,560 Too much noise. I'm getting too many emails from opportunities for me to actually in a way signal that that email's important. 17 00:01:36,280 --> 00:01:40,810 It might be that I actually missed a couple of opportunities that way, but is the reality, if anything? 18 00:01:41,200 --> 00:01:45,429 Another entrepreneur that I know referring a Start-Up, an angel investor that I respect, 19 00:01:45,430 --> 00:01:51,300 referring a Start-Up is somebody that another investor, they might have done it earlier around saying, Hey, this company is rocking. 20 00:01:51,310 --> 00:01:52,780 You should look at them for the next round. 21 00:01:53,110 --> 00:01:58,269 Those are the signals that I need to actually check out that email from the thousands that I got that year and say, 22 00:01:58,270 --> 00:02:03,700 actually, let me go deeper and look at it. So when you're thinking about approaching because leverage the heck out of LinkedIn, 23 00:02:04,180 --> 00:02:09,940 figure out which connection path can get you closer to the right person and which firm to have a at least a warm lead. 24 00:02:10,660 --> 00:02:13,900 And there's plenty of blog VC bloggers will attest to this. 25 00:02:14,170 --> 00:02:17,800 A cold lead is usually going to lead to an almost immediate no. 26 00:02:17,920 --> 00:02:23,799 It's just a signal to noise ratio of like how we can interpret the amount of requests coming in and in Europe. 27 00:02:23,800 --> 00:02:24,090 What is that? 28 00:02:24,180 --> 00:02:30,430 Even less early stage funding is even more acute because the amount of people trying to raise and number of people that can fund them is even less. 29 00:02:31,840 --> 00:02:36,459 So let's go inside my head for a sec and share with you the things that are going through my head. 30 00:02:36,460 --> 00:02:42,070 As you give me your pitch deck and you're massively passionate about your idea, I can see it in your eyes. 31 00:02:42,070 --> 00:02:45,210 You've been living this idea for the last year and you can't wait. 32 00:02:45,220 --> 00:02:49,030 Tell me about it. And as you flip the slides, I'm thinking. 33 00:02:50,080 --> 00:02:59,170 Is a market big enough. There is an example here of a company that that I not my not my speciality no have a pets but there's a 34 00:02:59,170 --> 00:03:04,360 company in the US called Dog Vacay that that is some friends of ours actually funded at the early stage. 35 00:03:04,870 --> 00:03:06,429 I don't have a pet. I didn't know. 36 00:03:06,430 --> 00:03:13,659 There's a so much pain when you go out of town to get somebody to sit your dog and how much money actually gets spent on the dog sitting dog. 37 00:03:13,660 --> 00:03:19,149 Vickie's doing pretty well. They raised $12 million last year. They've created a fantastic marketplace of pet owners. 38 00:03:19,150 --> 00:03:24,730 And people are willing to take care of your pet for a couple of dollars and massively undercuts the professional market. 39 00:03:25,330 --> 00:03:31,720 And it's created a vibrant community actually around around people who want to lend their pets out and people wanted to kill them. 40 00:03:33,100 --> 00:03:37,239 I didn't think it was big enough. What do I know? Can this team pull it off? 41 00:03:37,240 --> 00:03:41,490 And this is probably the most critical piece, especially at early stage, right? 42 00:03:41,500 --> 00:03:43,930 You're as much betting on the team as you're betting on the business. 43 00:03:44,530 --> 00:03:50,410 Do they have the complementary skills between technical and business across the Cofounding team to actually go pull it off? 44 00:03:50,770 --> 00:03:54,820 Single founder. Single Founder Start-ups are really hard for me to get comfortable with. 45 00:03:55,030 --> 00:03:59,500 There's too much risk in one individual, so I usually like to see a business. 46 00:03:59,830 --> 00:04:03,850 It can be two technical co-founders or business founder in a in a technical co-founder, 47 00:04:04,240 --> 00:04:07,809 but somebody can at least bounce off each other and scale out the business because 48 00:04:07,810 --> 00:04:11,110 the guy who's coding is not the guy who's supposed to be selling or fundraising. It doesn't work. 49 00:04:11,230 --> 00:04:16,110 He's supposed to be coding or she. He had had this scale of business before. 50 00:04:16,140 --> 00:04:20,700 The answer to this is usually no for for early stage start-ups. Most of them are first time entrepreneurs, 51 00:04:21,090 --> 00:04:26,400 but that will actually be a very positive signal of actually scale out of business the owner of somebody else's in the past. 52 00:04:27,510 --> 00:04:32,760 Can they build what they're trying to build? Can they have the technical chops to pull off the vision they have? 53 00:04:32,970 --> 00:04:36,990 I'm fine with outsourcing development at early stage of finding a design studio 54 00:04:36,990 --> 00:04:41,070 or some guy in Poland or Ukraine to actually build your minimum viable product. 55 00:04:41,400 --> 00:04:46,950 But at some point, you need to own the tech inside the stack. You need to actually be able to control the destiny of your product. 56 00:04:48,060 --> 00:04:51,719 So at least give me guidance as to the path and how you go. 57 00:04:51,720 --> 00:04:57,220 Hired a technical team once you get funding. Are there other better funded competitors out there? 58 00:04:57,430 --> 00:05:01,630 Probably the answer will be yes. So help me feel comfortable as to why you have an angle and an edge. 59 00:05:02,530 --> 00:05:06,040 And then who else can I partner with to do this? Traditionally, 60 00:05:06,040 --> 00:05:11,379 VCs will actively look to syndicate deals with complementary of VC funds with other people 61 00:05:11,380 --> 00:05:15,400 that can step in and at different value with angels that might have experience that help out. 62 00:05:15,850 --> 00:05:21,070 In a way, it's it's a it's one it's a way for us not to be the only one holding the bag when things are not going well. 63 00:05:21,520 --> 00:05:22,270 And secondly, 64 00:05:22,270 --> 00:05:28,810 it's a way for us to actually nurture the ecosystem jointly by actually bringing people into one deal who might bring us into another deal later on. 65 00:05:29,860 --> 00:05:36,280 It's amazing how clubby we all compete for the same deals. And yes, it's very clubby and how we try to collaborate and actually. 66 00:05:37,920 --> 00:05:43,500 Three of my most recent investments have actually come through through other angels or VCs who brought us into the opportunity. 67 00:05:44,280 --> 00:05:50,760 So let me quickly walk through a couple of examples of of businesses that I've invested in and how I answer those questions as I was going through it. 68 00:05:51,600 --> 00:05:56,520 So first, what's called KAEMI. It's based in the US. I think it's brilliant. 69 00:05:56,530 --> 00:06:00,300 Of course I invested in it. But what you do is you take your phone, they take your key. 70 00:06:00,740 --> 00:06:02,129 You put your key in a white piece of paper. 71 00:06:02,130 --> 00:06:07,320 You take a picture of the key with your phone on both sides, and the algorithm will create a digital version of your key. 72 00:06:07,320 --> 00:06:11,220 It figures out, based on image recognition, the height of the ridges and the length. 73 00:06:11,580 --> 00:06:15,209 So now it knows what your key looks like, and once it knows what your key looks like, 74 00:06:15,210 --> 00:06:19,170 you can order a copy with your favourite Chelsea colours and pay 699 for it. 75 00:06:20,010 --> 00:06:24,510 But more importantly, if you're locked out of your house, it now provides insurance for you to get unlocked. 76 00:06:25,260 --> 00:06:30,240 You can go to a locksmith and show them a factory locksmith code on the app that tells them how to cut the key. 77 00:06:31,020 --> 00:06:36,620 Or you can go to a 7-Eleven in New York City and find this little guy here, which is a robotic kiosk. 78 00:06:36,630 --> 00:06:40,050 The kiosk inside has a magazine full of keys. 79 00:06:40,440 --> 00:06:44,760 It supports 90% of the US keys and house keys and mailbox keys. 80 00:06:45,810 --> 00:06:49,560 So you show up with your app, which has a code, your credit card and your fingerprint, 81 00:06:50,250 --> 00:06:55,469 and you can actually print out your house, give you a locked up. And trust me, you're completely price insensitive at that point. 82 00:06:55,470 --> 00:06:58,800 And New York average lock lock out service is 250 bucks. 83 00:06:59,640 --> 00:07:07,920 And these guys charge $30 for the key to get copied. They have the rolling out 100 kiosks across the US and that has to build out thousands of kiosks. 84 00:07:09,150 --> 00:07:12,610 And the margin on those keys is quite nice. 85 00:07:13,410 --> 00:07:20,760 But what I love about this is it's a massive market. It's actually lock locksmith, lock out and car keys in the US is $8 billion. 86 00:07:22,240 --> 00:07:27,790 Yeah. Massively fragmented. Some guy in a corner shop that's taking my key and copying it. 87 00:07:28,330 --> 00:07:34,910 And no technical disruption. So these guys use image recognition, robotics, price effect. 88 00:07:34,960 --> 00:07:38,380 They lose price sensitivity analysis based on user to figure out what price they're going to give you. 89 00:07:38,380 --> 00:07:46,330 So some cool tech to actually make your life more convenient. So use back to my thesis slide the combination of computing power on the cloud for the 90 00:07:46,330 --> 00:07:51,370 image recognition with this data around the consumer and then just cool robot robots, 91 00:07:51,370 --> 00:07:57,760 robotic cutters to actually make your key and if there's a quid pro quo and convenience and and money putting hands. 92 00:07:58,720 --> 00:08:03,850 So as I went through the questions, I actually found them on a blog. To be honest. I was doing research on 3D printing and I came across them. 93 00:08:04,150 --> 00:08:09,670 Turns out a friend of mine had been an angel investor. He introduced us. We ended up leading the 7 million series that they raised. 94 00:08:10,870 --> 00:08:15,249 Is it market big enough? Yes, and massively fragmented. Can this team pull it off? 95 00:08:15,250 --> 00:08:20,979 Well, the CTO is a Ph.D. in robotics, have employees from NASA, from Lockheed Martin, 96 00:08:20,980 --> 00:08:25,000 from Raytheon, guys with a robotics and data analytics components. 97 00:08:25,750 --> 00:08:29,170 Yes. How to scale a team before? No, never. 98 00:08:29,170 --> 00:08:34,120 The CEO is a former financial analyst and the CTO used to be in the lab. 99 00:08:35,170 --> 00:08:39,430 So that's where hopefully we come in and we can help them scale out. Do they have the technical chops to pull it off? 100 00:08:39,430 --> 00:08:43,090 Absolutely. Other better funded competitors? 101 00:08:43,210 --> 00:08:50,440 Yeah. And there's a couple of other VC funded companies doing similar stuff, but with kind of older technology that haven't haven't innovated as much. 102 00:08:50,800 --> 00:08:54,100 So I'd say it's still a pretty open market. It's pretty darn large. 103 00:08:54,100 --> 00:08:58,180 So it can be two or three competitors there. And then who do I partner with to de-risk it? 104 00:08:58,590 --> 00:09:02,860 And I think the one call that convinced me to do this deal was when I called 7-Eleven. 105 00:09:02,920 --> 00:09:08,200 So 7-Eleven Ventures has a venture arm that invests in companies and 7-Eleven ventures. 106 00:09:08,200 --> 00:09:12,279 The guy who runs the fund was saying, Yeah, listen, they've been inside 711 shops. 107 00:09:12,280 --> 00:09:16,060 We love it. It's performing really well. We look at kiosk businesses all the time. 108 00:09:16,300 --> 00:09:18,820 This is one of the better performing ones we've got. It's really good. 109 00:09:19,120 --> 00:09:23,590 And by the way, who inside 7-Eleven gets to decide how many you buy and which stores you put them into? 110 00:09:23,680 --> 00:09:24,610 Because that would be me. 111 00:09:25,360 --> 00:09:31,480 So the guy who was the side effects of the decision maker for a key partner was also going to pony up a big check to be part of the round. 112 00:09:32,740 --> 00:09:40,030 The other de-risking was there. The the non-executive member of the board created this kiosk business. 113 00:09:40,030 --> 00:09:43,509 He had a business called Coinstar where you took your loose change, you put it into the coin, 114 00:09:43,510 --> 00:09:46,210 starting to give you cash and they kept a couple of cents per transaction. 115 00:09:46,480 --> 00:09:50,620 Coinstar is now a $2 billion publicly traded company in the US called Outer Wall. 116 00:09:51,040 --> 00:09:56,590 So the CEO, the founder of COIN Stores on the board with us, he kind of knows the the kiosk business pretty well. 117 00:09:56,800 --> 00:09:59,860 That was another kind of nudge that it was the right people around the table to go do it. 118 00:10:00,850 --> 00:10:05,650 It's a hard business. It's difficult. They have to go pay a lot of money to build these kiosks and ship them out. 119 00:10:06,070 --> 00:10:14,980 But it's really it's really appealing combination of real world kind of physical, nitty gritty, ugly locksmith marketplace with brilliant technology. 120 00:10:17,070 --> 00:10:22,320 Another one was a seed investment that we just did in London. If you ever go to London, you want to go to a concert, download the app. 121 00:10:23,250 --> 00:10:30,750 It's called Dice. It's a mobile ticketing app for concerts, and it has a curated set of concerts that you can actually browse through and select. 122 00:10:31,650 --> 00:10:35,040 And everybody well, most people don't know about you guys. Most people hate Ticketmaster. 123 00:10:35,040 --> 00:10:42,360 Ticketmaster charge you 12% booking fees just because the artist doesn't see that it hurts the hurts of the fans. 124 00:10:43,320 --> 00:10:47,040 There's no data shared from Ticketmaster back to the or very little back to the artists. 125 00:10:47,220 --> 00:10:50,980 They're flying blind effectively. And yet a live nation. 126 00:10:50,980 --> 00:10:57,330 And Ticketmaster has a $5.4 billion valuation and they control something like 67% of all tickets sold around the world. 127 00:10:58,410 --> 00:11:01,740 So there's a lot of people trying to disrupt Ticketmaster coming out from different angles. 128 00:11:02,610 --> 00:11:07,080 What we liked about these guys is that they actually came from the music space. 129 00:11:07,260 --> 00:11:12,660 Phil, the CEO, used to manage a bunch of electronic acts. He created it because of his own frustration as a manager. 130 00:11:14,460 --> 00:11:17,850 They launched the app here. It had the biggest TechCrunch write up I've ever seen. 131 00:11:17,850 --> 00:11:21,540 It was five pages long. You can actually download the app now. You can buy tickets. 132 00:11:21,900 --> 00:11:28,320 And their vision is to create a more frictionless way for the fans to go to a concert. 133 00:11:28,320 --> 00:11:32,280 There's no booking fees. There's this kind of convenience services like waiting list. 134 00:11:32,280 --> 00:11:41,040 The tickets are sold out. Do you want tickets? Yes. Get yourself on the waiting list for two or they're working on some other things in which you 135 00:11:41,040 --> 00:11:44,370 could have convenience to actually make sure that you get to go to the concert you want to go to. 136 00:11:45,120 --> 00:11:48,900 And by the way, there's actually a whole bunch of data being captured on you and your music tastes, 137 00:11:49,140 --> 00:11:51,000 which can be shared with the managers in the back end, 138 00:11:51,000 --> 00:11:56,889 which actually give them some insight as to who the heck wants to go to the concerts and where so is the target. 139 00:11:56,890 --> 00:12:01,920 Is a market big enough? Yes, but kind of going up against Ticketmaster as a hard thing. 140 00:12:02,760 --> 00:12:10,950 Can a team pull it off? The other guys behind this is this studio in London called US, too, which is a design studio. 141 00:12:10,950 --> 00:12:13,799 They're famous for a game called Monument Valley on iPad, 142 00:12:13,800 --> 00:12:18,090 which is feature pretty much if you go to the Apple store and you see the iPads with a little game that's Monument Valley. 143 00:12:18,480 --> 00:12:24,480 It's such a design in London, it's awesome. So they actually took a bunch of their best guys and put it into dice and spun it off. 144 00:12:25,350 --> 00:12:27,149 So they have a combination of really good tech team. 145 00:12:27,150 --> 00:12:31,410 The CTO is the only CTO of our Met from Greenland, actually the only tech guy I've ever met from Greenland. 146 00:12:32,730 --> 00:12:37,110 Phil, who came from music space and the design guy from was to have a skeleton before. 147 00:12:37,110 --> 00:12:41,580 Absolutely not. The US two guys have, but Phil used to manage the X. 148 00:12:42,870 --> 00:12:47,249 They had two technical chops to pull it off. Yes, better from the competitors. 149 00:12:47,250 --> 00:12:51,120 We'll start with Ticketmaster, but there's a number of them in the US, a number of them better. 150 00:12:51,150 --> 00:12:55,800 Even here we plan to do something similar, but I think they're coming at it from a different angle. 151 00:12:56,430 --> 00:13:02,370 And then who else do I partner with? The interesting thing is we're the actual only institutional investor in the round. 152 00:13:02,790 --> 00:13:09,479 It's people from the music industry, the Managers for Arctic Monkeys and Radiohead and Robbie Williams Metropolis, 153 00:13:09,480 --> 00:13:15,600 which is second largest promoter, which gives them a huge thing in the ticketing space supply to US tickets. 154 00:13:16,020 --> 00:13:19,860 The hardest thing when you're creating a ticketing Start-Up is to convince the guy who's doing the 155 00:13:19,860 --> 00:13:27,269 O2 show for Radiohead to give you 100 tickets because he can he has the ability to allocate them, 156 00:13:27,270 --> 00:13:29,910 but he's going to put them in the channel. The thing's going to sell the fastest. 157 00:13:30,510 --> 00:13:35,700 So because they're all investors, it also means that their acts are all flowing through the system and some pretty high profile acts. 158 00:13:36,090 --> 00:13:42,900 Most of the acts on dice, I have no idea. I'm totally apparently unhip now, but apparently they tell me it's really cool. 159 00:13:43,150 --> 00:13:44,580 So you couldn't find other other places. 160 00:13:46,130 --> 00:13:51,620 And I'll I'll finish with this one blog loving this one out to challenge me on a couple of the other questions. 161 00:13:51,620 --> 00:13:56,900 Blog loving star in Sweden by a 24 year old who his wife had a fashion. 162 00:13:57,020 --> 00:14:02,270 His girlfriend had a fashion blog. As usually happens, geeks try to impress their girlfriends by coding something. 163 00:14:02,750 --> 00:14:12,890 I actually quoted a website from my now wife at one point she wasn't impressed, so he called it an app to get more traffic for her blog. 164 00:14:13,310 --> 00:14:17,060 And by the way, it's actually the number one blog on blog loving now. And now I'm married, so it worked. 165 00:14:17,510 --> 00:14:23,210 But what it does, it aggregates 1.5 million blogs around the world, mainly in fashion and lifestyle, 166 00:14:23,540 --> 00:14:27,379 and it has a mobile app and a website through which you consume the content a daily basis. 167 00:14:27,380 --> 00:14:30,620 Instead of having to go to 100 blogs, you get it all kind of there. 168 00:14:30,620 --> 00:14:37,669 And I call it fashion porn. People spend 30 minutes per day just browsing the fashion updates from their favourite bloggers, and it's huge. 169 00:14:37,670 --> 00:14:39,469 It's grown from when we invest it to now. 170 00:14:39,470 --> 00:14:45,470 It's now got 30 million monthly uniques from all over the world who actually literally want to just get their fashion fix. 171 00:14:46,790 --> 00:14:48,709 They've actually made some bloggers from scratch, 172 00:14:48,710 --> 00:14:53,420 people that have no traffic that grew because of blog loving and they've spent zero money on user acquisition. 173 00:14:53,420 --> 00:14:59,030 It's all been organic. So we invested as angels and we saw it scale out. 174 00:14:59,030 --> 00:15:03,440 At that point, they were a couple of million, million uniques, over 30 million uniques now. 175 00:15:04,780 --> 00:15:08,890 Can they make money? Absolutely no idea. Nobody really managed to figure out how to make money on blogging. 176 00:15:09,340 --> 00:15:12,790 I mean, Tumblr made money by selling itself, but it never actually created revenue. 177 00:15:12,790 --> 00:15:16,480 Blogger. Blogger made money by selling itself to Google but never really made money. 178 00:15:17,470 --> 00:15:22,660 So I don't know. I mean, there's some ways in which you could think about native advertising, but it's still unclear. 179 00:15:23,980 --> 00:15:29,139 Can the city pull it off? Well, they started from this kind of passion point, write about the girlfriend and trying to satisfy her needs. 180 00:15:29,140 --> 00:15:33,190 And from dad's grew into a very vibrant community. Yes. 181 00:15:33,190 --> 00:15:36,790 And they've actually scale up the team significantly in New York. So we found them in Sweden, 182 00:15:36,790 --> 00:15:40,540 but we knew their market and their exit when the U.S. so they actually moved the whole team to New York 183 00:15:41,380 --> 00:15:47,140 Carrasquillo business before not the for 24 year old guys in Sweden but when they moved to New York, 184 00:15:47,410 --> 00:15:51,069 Matthias, the CEO, said, Listen, I'm the product guy. I want to go build products. 185 00:15:51,070 --> 00:15:55,060 I don't want to be dealing with you investor guys or doing financial reports. Let me build products. 186 00:15:55,480 --> 00:16:00,340 So we actually found a fantastic CEO sheet, actually ran North America for Dailymotion, 187 00:16:01,090 --> 00:16:05,620 had worked at MTV Networks, was an operating partner of the venture capital firm, had worked at AOL. 188 00:16:05,860 --> 00:16:11,170 She knew how to scale up media businesses, and she came on board. And she was such a very passionate user of the product herself. 189 00:16:11,530 --> 00:16:15,580 So she scaled up business before, didn't have the technical chops to pull it off. 190 00:16:15,730 --> 00:16:18,920 Yes. Better funded competitors. 191 00:16:18,940 --> 00:16:23,860 Depends what you call a competitor. Instagram is well funded by Facebook, Pinterest, Flipboard. 192 00:16:24,370 --> 00:16:27,520 It depends of where you think your users will be in the consuming media. 193 00:16:28,180 --> 00:16:31,240 And then who can I partner with to actually pull this off? 194 00:16:32,050 --> 00:16:35,860 Beta Works, which is a company that we invested in and co-invest with in New York. 195 00:16:35,860 --> 00:16:41,439 This focus around the kind of the new evolution of media and the North Zone who the Swedish fund that 196 00:16:41,440 --> 00:16:46,720 was the first backer for Spotify who knows how to build effectively world class global media companies. 197 00:16:47,680 --> 00:16:53,410 And they came in for the round. They raised $7 million with which we actually doubled up with to the fund. 198 00:16:53,770 --> 00:16:55,630 And at that point, they'll just continue to scale up. 199 00:16:56,770 --> 00:17:01,720 So the reason I'm not just showing these deals is go back to the questions that I posed earlier and how I, 200 00:17:02,500 --> 00:17:05,590 I question myself as I'm going through through your pitch. 201 00:17:06,580 --> 00:17:11,830 I did not answer yes to every single question and every investment that I made. Actually, in some case, I answered no to a bunch of the questions, 202 00:17:12,280 --> 00:17:18,280 but enough of the other questions and enough of actually kind of the composition of the deal made me feel comfortable that betting on this, 203 00:17:18,490 --> 00:17:25,750 taking a risk on this opportunity made sense. So try to figure out what the questions that that individual investor is going 204 00:17:25,750 --> 00:17:28,959 to have and try to figure out how you make your pitch in a way personalised. 205 00:17:28,960 --> 00:17:32,000 Right. You should never actually had the same pitch for every investor. 206 00:17:32,020 --> 00:17:37,360 Angel you're going to go pitch. Everybody has their own angle, do some research, read their blogs, read your tweets, 207 00:17:37,720 --> 00:17:42,730 talk to other people that actually might have got an investment from them before. Try to figure out if they're the right investor for you. 208 00:17:42,730 --> 00:17:46,450 Because we see actually taking money from VCs is ridiculous. 209 00:17:46,450 --> 00:17:51,530 It's actually it's effectively Tinder. For like a 57 year relationship. 210 00:17:51,980 --> 00:17:54,980 You have three meetings and you kind of talk to each other. You think you like each other. 211 00:17:54,980 --> 00:18:00,980 He gives you this really big legal document you're supposed to understand and sign in which he says he's going to take 20% of your firm, 212 00:18:00,980 --> 00:18:04,520 sit on your board, have rights over you, have the ability to fire you, by the way. 213 00:18:05,780 --> 00:18:09,560 And you're supposed to decide in two weeks whether you want to be married to this person for next seven years. 214 00:18:10,550 --> 00:18:14,450 Average VC investment takes last longer in the US and the average marriage in the US. 215 00:18:15,230 --> 00:18:21,050 So and so the fact that we do this like speed dating rate is sometimes scary and it's also an information asymmetry. 216 00:18:21,260 --> 00:18:24,830 I've done a lot more deals than you have as an entrepreneur, but I do probably one a month. 217 00:18:25,040 --> 00:18:29,749 You probably will do two or three in your life. So that information asymmetry is actually really hard. 218 00:18:29,750 --> 00:18:35,690 So A get some good advice, a good lawyer. B, read all the books out there about VC funding. 219 00:18:36,020 --> 00:18:41,879 Brad Feld has one of the best ones, effectively demystifies the term sheet for for the on behalf of the entrepreneur 220 00:18:41,880 --> 00:18:46,370 and explains why some things like clawbacks and ratchet are bad words. 221 00:18:47,090 --> 00:18:48,890 And just before you hit the road, 222 00:18:49,340 --> 00:18:56,720 kind of be ready to to to to get to tackle that information asymmetry and this kind of this this speed dating model you're about to enter.