1 00:00:04,519 --> 00:00:12,280 Speaker 1: Tech with Technology with tech Stuff from Stuff toom. Hey 2 00:00:12,320 --> 00:00:17,160 Speaker 1: there everyone, this is Jonathan Strickland with Tech Stuff and 3 00:00:17,400 --> 00:00:21,000 Speaker 1: I hope you are enjoying our episodes. This is a 4 00:00:21,160 --> 00:00:23,640 Speaker 1: repetition for some of you, but we have gone to 5 00:00:23,880 --> 00:00:27,560 Speaker 1: once a week publication for the time being. In the 6 00:00:27,600 --> 00:00:29,639 Speaker 1: future we will go back to two times a week, 7 00:00:30,000 --> 00:00:33,320 Speaker 1: but right now, once a week every Wednesday, new episode. 8 00:00:33,360 --> 00:00:37,280 Speaker 1: And I really hope you guys swipe right on this episode, 9 00:00:38,159 --> 00:00:40,600 Speaker 1: and that is in fact a reference to the topic 10 00:00:40,720 --> 00:00:44,879 Speaker 1: I will be discussing today. That topic is Tinder, the 11 00:00:45,280 --> 00:00:48,960 Speaker 1: dating app, and you probably heard about it. I'm pretty 12 00:00:49,000 --> 00:00:51,199 Speaker 1: sure most of you are aware of what Tinder is. 13 00:00:51,240 --> 00:00:54,040 Speaker 1: Some of you may be active Tinder users. It's a 14 00:00:54,160 --> 00:00:57,320 Speaker 1: dating app that you download to a mobile device and 15 00:00:57,360 --> 00:01:01,120 Speaker 1: when you fire it up, it shows pictures of people 16 00:01:01,200 --> 00:01:04,600 Speaker 1: who also have the app installed on their mobile devices 17 00:01:04,760 --> 00:01:08,840 Speaker 1: and who are within your general location a radius that 18 00:01:08,920 --> 00:01:13,080 Speaker 1: you have set, so let's say it's five miles. You 19 00:01:13,080 --> 00:01:15,760 Speaker 1: will see other profiles in there that are somewhere within 20 00:01:15,840 --> 00:01:19,120 Speaker 1: that five mile range of people who also have Tender, 21 00:01:19,480 --> 00:01:23,320 Speaker 1: and it will match you up with the preferences you've set. So, 22 00:01:23,440 --> 00:01:27,399 Speaker 1: for example, if you are a man seeking a woman, 23 00:01:27,480 --> 00:01:30,559 Speaker 1: it will show you the female profiles, but it won't 24 00:01:30,560 --> 00:01:33,559 Speaker 1: show you the male profiles. And the way the app 25 00:01:33,600 --> 00:01:36,760 Speaker 1: works is you look at this picture and if you 26 00:01:36,800 --> 00:01:39,120 Speaker 1: think that person is attractive, if you think I would 27 00:01:39,160 --> 00:01:41,880 Speaker 1: like to speak with this person, I think, uh, this, 28 00:01:41,880 --> 00:01:44,800 Speaker 1: this person has a look that appeals to me, you 29 00:01:44,840 --> 00:01:48,400 Speaker 1: would swipe right on the screen, and that essentially is 30 00:01:48,440 --> 00:01:51,800 Speaker 1: like giving that person a check saying you are a 31 00:01:52,040 --> 00:01:56,360 Speaker 1: CUTEI petuity. If the person's picture doesn't do anything for 32 00:01:56,520 --> 00:01:59,440 Speaker 1: you, you you swipe to the left and say you are 33 00:01:59,680 --> 00:02:02,280 Speaker 1: going to the heap. I do not want to speak 34 00:02:02,320 --> 00:02:04,600 Speaker 1: with you. You are not interesting to me, you don't 35 00:02:04,640 --> 00:02:07,800 Speaker 1: appeal to me. Whatever reason. Maybe it's just that you 36 00:02:07,800 --> 00:02:11,080 Speaker 1: know you're like you know, I don't like that hairstyle 37 00:02:11,200 --> 00:02:13,359 Speaker 1: very much. It could be something as simple as that. 38 00:02:14,000 --> 00:02:16,520 Speaker 1: And you only get to talk to someone if they 39 00:02:16,560 --> 00:02:19,839 Speaker 1: have looked at your profile and also they swipe right 40 00:02:20,080 --> 00:02:23,799 Speaker 1: on your picture. So in other words, if you give 41 00:02:23,800 --> 00:02:26,399 Speaker 1: a person a check mark and they look at you 42 00:02:26,480 --> 00:02:29,360 Speaker 1: and give you a check mark, then a line of 43 00:02:29,400 --> 00:02:33,639 Speaker 1: communication can open up. Otherwise, one party will continue to 44 00:02:33,680 --> 00:02:37,359 Speaker 1: be perpetually unaware of the other party, and it doesn't 45 00:02:37,400 --> 00:02:41,400 Speaker 1: indicate that someone has swiped right or left for you. Again, 46 00:02:41,440 --> 00:02:44,239 Speaker 1: you only know if you both swipe right, which takes 47 00:02:44,240 --> 00:02:46,800 Speaker 1: a lot of the pressure off obviously. So once you 48 00:02:46,840 --> 00:02:49,200 Speaker 1: both swipe right, you can chat and set up a 49 00:02:49,280 --> 00:02:52,360 Speaker 1: time and place to meet. You can actually go on 50 00:02:52,400 --> 00:02:56,440 Speaker 1: a date and just have a nice time, or maybe 51 00:02:56,440 --> 00:02:58,360 Speaker 1: you just want to meet in person. See if sparks 52 00:02:58,360 --> 00:03:01,400 Speaker 1: are flying right on the get go. The app relies 53 00:03:01,480 --> 00:03:05,320 Speaker 1: very heavily on Facebook integration. It pulls in photos and 54 00:03:05,400 --> 00:03:09,000 Speaker 1: your likes from various pages that you visited. So if 55 00:03:09,000 --> 00:03:11,520 Speaker 1: you like a lot of different pages for bands or 56 00:03:11,560 --> 00:03:15,000 Speaker 1: movies or brands or whatever, those will pop up in 57 00:03:15,040 --> 00:03:18,680 Speaker 1: the profile as well. Uh it'll also just give a 58 00:03:18,800 --> 00:03:22,880 Speaker 1: really brief overview of a person's personality. There's also some 59 00:03:22,919 --> 00:03:26,320 Speaker 1: integration with Instagram to help fill out that profile with 60 00:03:26,400 --> 00:03:29,000 Speaker 1: other pictures. You can actually select I think up to 61 00:03:29,200 --> 00:03:33,320 Speaker 1: six pictures to represent yourself within your tender profile, so 62 00:03:33,400 --> 00:03:35,320 Speaker 1: someone can take one look and they might say, all right, 63 00:03:35,360 --> 00:03:38,160 Speaker 1: well that's the representative photo, but let me look at 64 00:03:38,200 --> 00:03:41,240 Speaker 1: a couple of others before I decide. And just like 65 00:03:41,360 --> 00:03:46,080 Speaker 1: we often find in real life interactions, the app focuses 66 00:03:46,320 --> 00:03:51,000 Speaker 1: on physical attraction first, but let's be fair, that's what 67 00:03:51,040 --> 00:03:52,920 Speaker 1: we do in real life. I mean, if you are 68 00:03:53,120 --> 00:03:56,680 Speaker 1: at an event and you see someone who catches your eye, 69 00:03:57,200 --> 00:04:00,920 Speaker 1: often physical attraction is the first indicator that inspires you 70 00:04:01,000 --> 00:04:03,720 Speaker 1: to go and try and have an interaction with that person. 71 00:04:04,600 --> 00:04:07,560 Speaker 1: And then from there things might develop further and you 72 00:04:07,640 --> 00:04:10,160 Speaker 1: might find that you really like that person, or you 73 00:04:10,240 --> 00:04:14,240 Speaker 1: might find that you're completely incompatible and it would just 74 00:04:14,320 --> 00:04:16,880 Speaker 1: be a total mistake to try and have any sort 75 00:04:16,880 --> 00:04:21,320 Speaker 1: of relationship with that person. But ultimately that physical attraction 76 00:04:21,480 --> 00:04:24,880 Speaker 1: is often the first step that leads us to those interactions. 77 00:04:25,240 --> 00:04:28,960 Speaker 1: It's not always the case, but it often is. So anyway, 78 00:04:29,040 --> 00:04:31,960 Speaker 1: today I'm going to talk about where Tinder came from 79 00:04:32,000 --> 00:04:35,679 Speaker 1: and how it's business model works. Because the technology itself 80 00:04:35,720 --> 00:04:40,280 Speaker 1: is incredibly simple. It's essentially GPS TOHO determined where your 81 00:04:40,360 --> 00:04:43,479 Speaker 1: location is and where people are in relation to you, 82 00:04:44,560 --> 00:04:49,240 Speaker 1: and it's this app matching or profile matching software. Not 83 00:04:49,320 --> 00:04:52,120 Speaker 1: a lot to it, not terribly complicated, but the behind 84 00:04:52,120 --> 00:04:57,240 Speaker 1: the scenes stuff is really interesting. Now. The general story 85 00:04:57,240 --> 00:05:01,960 Speaker 1: of Tinder, the one that you know, is generally pushed 86 00:05:03,160 --> 00:05:05,520 Speaker 1: uh to to kind of give it a sort of 87 00:05:06,720 --> 00:05:13,120 Speaker 1: campus mystique. This idea of of young, young entrepreneurs developing 88 00:05:13,680 --> 00:05:17,920 Speaker 1: a really powerful app in in like a dorm room. 89 00:05:17,960 --> 00:05:20,800 Speaker 1: There's this kind of image of that with Tinder, but 90 00:05:20,880 --> 00:05:24,359 Speaker 1: that's not exactly what happened. Now, there were two entrepreneurs, 91 00:05:24,520 --> 00:05:28,240 Speaker 1: Sean rad and Justin Matine, who built the app, and 92 00:05:28,240 --> 00:05:31,520 Speaker 1: they tested it at the University of California, and they 93 00:05:31,600 --> 00:05:34,320 Speaker 1: launched it in two thousand twelve with just three people 94 00:05:34,440 --> 00:05:38,080 Speaker 1: as their initial seed test group, and by the end 95 00:05:38,080 --> 00:05:39,839 Speaker 1: of the week the app had more than a thousand 96 00:05:39,920 --> 00:05:43,120 Speaker 1: active users, and rather Matine were just twenty seven when 97 00:05:43,160 --> 00:05:46,200 Speaker 1: they launched Tinder. But the story doesn't really start there. 98 00:05:46,279 --> 00:05:50,280 Speaker 1: It's not like these are two post grads who happened 99 00:05:50,279 --> 00:05:52,400 Speaker 1: to come up with a cool idea and try it 100 00:05:52,440 --> 00:05:56,320 Speaker 1: out at a college. The narrative or Tender isn't just 101 00:05:56,520 --> 00:06:00,320 Speaker 1: about that. It's really more about how Tinder part of 102 00:06:00,320 --> 00:06:06,359 Speaker 1: a much much larger organization called Interactive Core or i 103 00:06:06,640 --> 00:06:12,000 Speaker 1: a C. Now I a C is, at least according 104 00:06:12,000 --> 00:06:16,200 Speaker 1: to their website anyway, a leading media and internet company 105 00:06:16,240 --> 00:06:21,120 Speaker 1: focused on the areas of search applications, online dating, media, 106 00:06:21,279 --> 00:06:24,080 Speaker 1: and e commerce. That's a direct quote from their site. 107 00:06:24,720 --> 00:06:26,960 Speaker 1: And it's a big company. There are more than a 108 00:06:27,040 --> 00:06:30,919 Speaker 1: hundred fifty brands or products that are under that umbrella, 109 00:06:31,000 --> 00:06:33,960 Speaker 1: and you would recognize these names. These are not small names. 110 00:06:34,200 --> 00:06:37,760 Speaker 1: For example, Match dot com and okay Cupid, so you've 111 00:06:37,800 --> 00:06:42,280 Speaker 1: got some major dating sites there. There's also video, there's 112 00:06:42,360 --> 00:06:45,920 Speaker 1: college humor and about dot com. So these are these 113 00:06:45,960 --> 00:06:50,400 Speaker 1: are big brands that are under this this company. So 114 00:06:50,440 --> 00:06:53,480 Speaker 1: to understand where Tinder is and why it hasn't been 115 00:06:53,520 --> 00:06:58,000 Speaker 1: snapped up by someone like Google or Twitter or Facebook, 116 00:06:58,279 --> 00:07:01,320 Speaker 1: you need to know what I A C is and 117 00:07:01,360 --> 00:07:04,320 Speaker 1: where it comes from. So this is starting to sound 118 00:07:04,320 --> 00:07:06,839 Speaker 1: like a little bit of a bait and switch, I understand, 119 00:07:06,880 --> 00:07:09,279 Speaker 1: but I promise I'm going to get back to tender 120 00:07:09,480 --> 00:07:13,400 Speaker 1: a little further in for the moment. Let's first take 121 00:07:13,440 --> 00:07:17,320 Speaker 1: a look at I A C. And it's storied history. 122 00:07:17,440 --> 00:07:23,000 Speaker 1: So this is gonna get weird and complicated because history 123 00:07:23,160 --> 00:07:27,760 Speaker 1: is never as straightforward as you might imagine. So we 124 00:07:27,800 --> 00:07:30,640 Speaker 1: have to look at before I A C. So I 125 00:07:30,680 --> 00:07:33,480 Speaker 1: guess b I A C if you're trying to create 126 00:07:33,480 --> 00:07:36,400 Speaker 1: a new nomenclature for this. So before there was an 127 00:07:36,400 --> 00:07:40,400 Speaker 1: I A C. There was a company called Silver King Broadcasting. 128 00:07:40,880 --> 00:07:43,440 Speaker 1: And before there was Silver King, there was the Home 129 00:07:43,560 --> 00:07:48,080 Speaker 1: Shopping Network, And before there was the Home Shopping Network, 130 00:07:48,160 --> 00:07:52,000 Speaker 1: there was the Home Shopping Club. But don't worry, that's 131 00:07:52,040 --> 00:07:53,560 Speaker 1: as far back as I'm gonna go or else. We 132 00:07:53,680 --> 00:07:56,560 Speaker 1: just keep on tracing all the way to the roots 133 00:07:56,560 --> 00:08:00,360 Speaker 1: of the discovery of fire. So back in nineteen one, 134 00:08:00,960 --> 00:08:05,480 Speaker 1: former attorney Roy Spear and a radio and television executive 135 00:08:05,560 --> 00:08:11,160 Speaker 1: named Lowell White Bud Paxson launched the Home Shopping Club 136 00:08:11,360 --> 00:08:15,600 Speaker 1: in Florida. Paxson had actually discovered that there was a 137 00:08:15,640 --> 00:08:18,640 Speaker 1: market for selling stuff live on television. He had ended 138 00:08:18,720 --> 00:08:23,760 Speaker 1: up with a whole bunch of avocado green can openers, 139 00:08:24,240 --> 00:08:27,120 Speaker 1: and he told one of the guys running one of 140 00:08:27,120 --> 00:08:30,680 Speaker 1: the shows that that was airing on a television network 141 00:08:30,720 --> 00:08:33,000 Speaker 1: that he owned or television station I should say that 142 00:08:33,080 --> 00:08:36,200 Speaker 1: he owned. Hey, can you try and mention these things 143 00:08:36,200 --> 00:08:37,679 Speaker 1: on the air so we can try and sell some 144 00:08:37,720 --> 00:08:39,680 Speaker 1: of them? And discovered that they were able to sell 145 00:08:39,720 --> 00:08:42,480 Speaker 1: almost two hundred in an hour, and he thought there 146 00:08:42,600 --> 00:08:44,760 Speaker 1: might be something to this. We can make this a 147 00:08:44,800 --> 00:08:48,560 Speaker 1: whole business. Now. At first this was limited to broadcasting 148 00:08:48,640 --> 00:08:51,640 Speaker 1: just in the state of Florida, but over a few 149 00:08:51,720 --> 00:08:54,960 Speaker 1: years they got bigger and bigger, and by nine five 150 00:08:55,080 --> 00:08:58,680 Speaker 1: the Home Shopping Club now known as the Home Shopping 151 00:08:58,720 --> 00:09:04,600 Speaker 1: Network began and broadcast across the entire United States. In 152 00:09:04,720 --> 00:09:08,640 Speaker 1: nineteen six, the Home Shopping Network or hs N if 153 00:09:08,679 --> 00:09:13,280 Speaker 1: you prefer, established a subsidiary company, and that was called 154 00:09:13,559 --> 00:09:17,760 Speaker 1: Silver King Broadcasting. The purpose of this company was to 155 00:09:17,840 --> 00:09:22,480 Speaker 1: secure over the air time for the Home Shopping Network, 156 00:09:22,840 --> 00:09:25,640 Speaker 1: so for places that didn't have cable, but we're getting 157 00:09:25,640 --> 00:09:29,040 Speaker 1: over the air broadcasts. This made a lot of sense. 158 00:09:29,440 --> 00:09:31,840 Speaker 1: You know, you wanted to to target as many different 159 00:09:31,840 --> 00:09:35,439 Speaker 1: markets as possible, So the company actually started buying up 160 00:09:35,520 --> 00:09:39,440 Speaker 1: television stations in order to get more Home Shopping Network 161 00:09:39,520 --> 00:09:42,680 Speaker 1: content out in front of more viewers. And that was 162 00:09:42,720 --> 00:09:47,000 Speaker 1: the birth of the Silver King Broadcasting Company. Things get 163 00:09:47,040 --> 00:09:49,760 Speaker 1: even more weird from here, but I promise we're gonna 164 00:09:49,840 --> 00:09:55,640 Speaker 1: get the tender. So in nine remember that's when Silver 165 00:09:55,720 --> 00:09:59,440 Speaker 1: King Broadcasting comes into being in the Home Shopping Network 166 00:10:00,040 --> 00:10:05,040 Speaker 1: on Silver King off as a separately traded public company. 167 00:10:05,080 --> 00:10:08,960 Speaker 1: So now Silver King Broadcasting is a related but separate 168 00:10:09,000 --> 00:10:15,839 Speaker 1: company all on its own. In in Barry Diller. If 169 00:10:15,840 --> 00:10:17,600 Speaker 1: you don't know who Barry Diller is, at some point 170 00:10:17,640 --> 00:10:21,280 Speaker 1: I shall have to do a full profile on him. 171 00:10:21,720 --> 00:10:26,120 Speaker 1: He created the Fox Broadcasting Company, among other things. He 172 00:10:26,200 --> 00:10:31,640 Speaker 1: bought controlling interest in Silver King Broadcasting. Then it became 173 00:10:31,760 --> 00:10:36,840 Speaker 1: silver King Communications and it merged with the Home Shopping Network. 174 00:10:36,960 --> 00:10:40,360 Speaker 1: So just three years after Home Shopping Network spends off 175 00:10:40,440 --> 00:10:44,400 Speaker 1: Silver King, Silver King and Home Shopping Network merged together, 176 00:10:45,280 --> 00:10:49,040 Speaker 1: and this new company also merged with another one, Savoy 177 00:10:49,240 --> 00:10:53,600 Speaker 1: Pictures Entertainment. And this new mega company became known as 178 00:10:53,760 --> 00:10:59,000 Speaker 1: hs IN Incorporated, So Home Shopping Network Incorporated essentially. But 179 00:10:59,120 --> 00:11:04,760 Speaker 1: then HSN Incorporated got hungry. It went on a buying frenzy. 180 00:11:04,800 --> 00:11:09,040 Speaker 1: It started acquiring companies left and right, which when you 181 00:11:09,080 --> 00:11:13,320 Speaker 1: think about it, seems only appropriate for the Home Shopping Network. Now. 182 00:11:13,360 --> 00:11:16,400 Speaker 1: The shopping they did was on the huge scale. They 183 00:11:16,559 --> 00:11:21,360 Speaker 1: bought Ticketmaster, They bought the TV assets of Universal Studios, 184 00:11:21,400 --> 00:11:24,640 Speaker 1: including USA Networks and the Sci Fi Channel that was 185 00:11:24,679 --> 00:11:29,280 Speaker 1: before it became Siffy, and also Match dot Com and 186 00:11:29,360 --> 00:11:31,840 Speaker 1: Match dot Com would end up being a really important 187 00:11:31,840 --> 00:11:34,360 Speaker 1: acquisition for them. They were already looking at ways to 188 00:11:34,679 --> 00:11:39,600 Speaker 1: go beyond television and radio. At that point, the company 189 00:11:39,720 --> 00:11:43,800 Speaker 1: changed its name to USA Networks Incorporated. Now, in the 190 00:11:43,840 --> 00:11:47,480 Speaker 1: two thousand's USA Networks Incorporated began to sell off some 191 00:11:47,600 --> 00:11:51,319 Speaker 1: of its television companies and production units. It also began 192 00:11:51,360 --> 00:11:56,319 Speaker 1: to acquire more online companies, including big ones like Expedia, 193 00:11:56,480 --> 00:12:00,199 Speaker 1: and it changed names again to USA Interactive in two 194 00:12:00,200 --> 00:12:03,400 Speaker 1: thousand two to reflect the fact that now it was 195 00:12:03,440 --> 00:12:07,040 Speaker 1: looking at more internet and technology companies and less at television. 196 00:12:07,920 --> 00:12:10,200 Speaker 1: Then in two thousand three had changed its name again, 197 00:12:10,559 --> 00:12:15,240 Speaker 1: finally becoming Interactive Corps, and in two thousand four four 198 00:12:15,280 --> 00:12:18,880 Speaker 1: it became I a C slash Interactive Corp. So I 199 00:12:19,000 --> 00:12:23,240 Speaker 1: a C continue grabbing up companies and spawning new brands 200 00:12:23,280 --> 00:12:25,800 Speaker 1: as well. Some of the other companies that they acquired 201 00:12:25,840 --> 00:12:33,320 Speaker 1: included stuff like lending Tree. Trip Advisor asked Jeeves Urban Spoon. Really, 202 00:12:33,360 --> 00:12:36,960 Speaker 1: if you had a burgeoning internet company, you were in 203 00:12:37,040 --> 00:12:41,280 Speaker 1: good shape because someone somewhere is looking to scoop you up, 204 00:12:41,640 --> 00:12:45,240 Speaker 1: whether it was a company like Amazon or something like 205 00:12:45,280 --> 00:12:48,320 Speaker 1: I a C. You had if you had a good idea, 206 00:12:48,760 --> 00:12:50,400 Speaker 1: you just had to wait around long enough to get 207 00:12:50,440 --> 00:12:53,360 Speaker 1: scooped up. That's why a lot of these companies that 208 00:12:53,520 --> 00:12:57,640 Speaker 1: are the startups, they don't worry so much if they 209 00:12:57,679 --> 00:13:00,679 Speaker 1: don't have a way of generating revenue, because if they 210 00:13:00,720 --> 00:13:04,559 Speaker 1: can demonstrate that they are interesting enough, some other bigger 211 00:13:04,600 --> 00:13:06,640 Speaker 1: company will come and buy them and then they don't 212 00:13:06,640 --> 00:13:08,640 Speaker 1: have to worry about how to generate revenue. That's the 213 00:13:08,640 --> 00:13:11,679 Speaker 1: bigger company's problem now, and everyone who made that stuff 214 00:13:11,880 --> 00:13:15,640 Speaker 1: has become a millionaire. Man, I'm in the wrong business 215 00:13:15,679 --> 00:13:18,880 Speaker 1: at any rate. The company I a C. Eventually spun 216 00:13:18,920 --> 00:13:23,280 Speaker 1: off some of these properties, including spinning off the Home 217 00:13:23,440 --> 00:13:27,840 Speaker 1: Shopping Network. So once again, Home Shopping Network creates Silver 218 00:13:27,960 --> 00:13:31,760 Speaker 1: King Broadcasting. Silver King Broadcasting merges with Home Shopping Network. 219 00:13:32,200 --> 00:13:35,280 Speaker 1: Then I a C, which grew out of Silver King Broadcasting, 220 00:13:35,360 --> 00:13:38,479 Speaker 1: spins off Home Shopping Network. This is a weird story. 221 00:13:38,559 --> 00:13:41,800 Speaker 1: They also spun off Ticketmaster around that same time, and 222 00:13:41,840 --> 00:13:45,440 Speaker 1: in two thousand eleven, I a C created a startup 223 00:13:45,480 --> 00:13:49,160 Speaker 1: incubator called hatch Labs. So this is a lot like 224 00:13:49,240 --> 00:13:53,360 Speaker 1: Google's x Labs, the branch of Google that's all about 225 00:13:53,440 --> 00:13:57,600 Speaker 1: research and development and rapid prototyping of various products and services, 226 00:13:58,120 --> 00:14:01,480 Speaker 1: all about let's let's look at big risk, big reward 227 00:14:01,640 --> 00:14:05,160 Speaker 1: type stuff. Um, where can we come up with the 228 00:14:05,200 --> 00:14:08,120 Speaker 1: next awesome idea in house rather than having to go 229 00:14:08,160 --> 00:14:10,280 Speaker 1: out and buy it all the time. Not that they 230 00:14:10,280 --> 00:14:12,440 Speaker 1: were going to stop buying stuff, but this way they 231 00:14:12,440 --> 00:14:16,120 Speaker 1: could also develop it within the company. Now, hatch Labs 232 00:14:16,640 --> 00:14:19,360 Speaker 1: allows people to develop and test ideas for new products 233 00:14:19,360 --> 00:14:22,840 Speaker 1: and services and companies, and because I a c owns it, 234 00:14:22,840 --> 00:14:25,800 Speaker 1: it gives I a C. A large stake in anything 235 00:14:25,840 --> 00:14:30,280 Speaker 1: that comes out of hatch Labs. So this is the 236 00:14:30,280 --> 00:14:33,440 Speaker 1: company that is hatch Labs is the organization that served 237 00:14:33,480 --> 00:14:37,120 Speaker 1: as the incubator for Tinder. So it wasn't that Tinder 238 00:14:37,320 --> 00:14:41,080 Speaker 1: sprung up due to pure pluck and enthusiasm and had 239 00:14:41,120 --> 00:14:44,960 Speaker 1: actually an enormous corporation behind it when they had a 240 00:14:45,040 --> 00:14:48,520 Speaker 1: long history in online dating services because they had owned 241 00:14:48,520 --> 00:14:51,680 Speaker 1: match dot com and okay Cupid for so long. But 242 00:14:51,800 --> 00:14:54,200 Speaker 1: that's not the story you often hear when people talk 243 00:14:54,240 --> 00:14:56,200 Speaker 1: about Tinder. It sounds like it's a much more kind 244 00:14:56,200 --> 00:14:59,160 Speaker 1: of grassroots sort of thing. That's not exactly the case. 245 00:14:59,360 --> 00:15:01,280 Speaker 1: But none of that is to take away from the 246 00:15:01,320 --> 00:15:04,600 Speaker 1: innovation and the clever positioning of Tinder. By the way, 247 00:15:04,840 --> 00:15:08,440 Speaker 1: it's a product that people like and it does exactly 248 00:15:08,480 --> 00:15:11,560 Speaker 1: what it's supposed to do. It's just not a little 249 00:15:11,600 --> 00:15:14,200 Speaker 1: plucky start up the way some people imagine it to be. 250 00:15:15,000 --> 00:15:19,040 Speaker 1: In fact, venture capitalists have been denied investment opportunities in 251 00:15:19,160 --> 00:15:22,240 Speaker 1: Tender because I a c S steak in tender is 252 00:15:22,280 --> 00:15:25,000 Speaker 1: so great that they don't want anyone else coming in 253 00:15:25,160 --> 00:15:29,680 Speaker 1: and getting any sort of majority share in this. And 254 00:15:29,680 --> 00:15:31,960 Speaker 1: this is not a Tinder itself. It's not a publicly 255 00:15:32,000 --> 00:15:36,080 Speaker 1: traded company, although it does act as its own entity. 256 00:15:36,360 --> 00:15:40,960 Speaker 1: So anyway, sean Rad was working for hatch Labs and 257 00:15:41,000 --> 00:15:43,560 Speaker 1: he was developing ideas. He was working on a product 258 00:15:43,560 --> 00:15:48,400 Speaker 1: called cardify UM, but he also had an idea kind 259 00:15:48,400 --> 00:15:53,080 Speaker 1: of fermenting in his mind about a location based dating app, 260 00:15:53,800 --> 00:15:58,360 Speaker 1: and he originally started calling it Matchbox. This was not 261 00:15:58,400 --> 00:16:00,680 Speaker 1: one of his formal projects, and in fact, he didn't 262 00:16:00,680 --> 00:16:04,000 Speaker 1: really begin working on it in earnest until hatch Labs 263 00:16:04,360 --> 00:16:07,440 Speaker 1: held a hackathon. This was not actually that long after 264 00:16:07,480 --> 00:16:10,120 Speaker 1: shan Rad had joined hatch Labs. He had joined as 265 00:16:10,120 --> 00:16:14,800 Speaker 1: a general manager UM. So the hackathon was an event 266 00:16:14,840 --> 00:16:19,080 Speaker 1: in which employees could prototype new ideas rather than work 267 00:16:19,120 --> 00:16:21,760 Speaker 1: on their regular projects. And it lasted a few days. 268 00:16:22,160 --> 00:16:24,800 Speaker 1: So it gave you a chance if you had an idea, 269 00:16:24,840 --> 00:16:27,160 Speaker 1: to develop that idea and pitch your idea to the 270 00:16:27,200 --> 00:16:30,360 Speaker 1: company and say this is something I think we should do. Uh, 271 00:16:30,400 --> 00:16:33,240 Speaker 1: And it gave you the freedom to do that and 272 00:16:33,280 --> 00:16:36,400 Speaker 1: take your workload, your regular workload off of your shoulders 273 00:16:36,440 --> 00:16:40,000 Speaker 1: while you're prototyping. So Rad worked on Matchbox at one 274 00:16:40,000 --> 00:16:42,440 Speaker 1: of these hackathons and then switched back to his normal 275 00:16:42,440 --> 00:16:45,560 Speaker 1: work duties trying to get Cartify off the ground. But 276 00:16:45,840 --> 00:16:51,040 Speaker 1: Cardify was met with some resistance from iTunes. They were 277 00:16:51,280 --> 00:16:55,280 Speaker 1: delaying putting it into the iTunes Store. And this has 278 00:16:55,320 --> 00:16:57,720 Speaker 1: happened quite a few times with lots of different apps 279 00:16:57,800 --> 00:17:01,000 Speaker 1: across lots of different you know, types of apps, whether 280 00:17:01,040 --> 00:17:04,800 Speaker 1: it's a game or a service or whatever. Sometimes Apple 281 00:17:05,880 --> 00:17:11,600 Speaker 1: wants changes or has objections. Sometimes they don't really give 282 00:17:11,640 --> 00:17:14,360 Speaker 1: you necessarily the best feedback for you to figure out 283 00:17:14,400 --> 00:17:17,240 Speaker 1: how to adjust your products so that it can be 284 00:17:17,320 --> 00:17:21,959 Speaker 1: featured in the iTunes Store. And because the way iOS works, 285 00:17:22,400 --> 00:17:26,200 Speaker 1: if you have a regular, un jailbroken, you know phone, 286 00:17:27,000 --> 00:17:30,399 Speaker 1: you pretty much are stuck with whatever's in the iOS store. 287 00:17:30,440 --> 00:17:36,200 Speaker 1: You can't sideload any apps without doing something pretty drastic 288 00:17:36,240 --> 00:17:38,439 Speaker 1: to your phone, at least drastic in the eyes of 289 00:17:38,480 --> 00:17:41,119 Speaker 1: your average phone user. I'm sure a lot of you 290 00:17:41,160 --> 00:17:44,399 Speaker 1: guys out there and tech stuff land have phones that 291 00:17:44,520 --> 00:17:48,760 Speaker 1: you have freed from the shackles of manufacturers and carriers, 292 00:17:49,040 --> 00:17:50,679 Speaker 1: and you can load whatever you want on it, but 293 00:17:50,760 --> 00:17:54,359 Speaker 1: for the average consumer that's not the case. So that 294 00:17:54,440 --> 00:17:57,840 Speaker 1: puts people who create apps in a difficult situation. The 295 00:17:57,880 --> 00:18:00,520 Speaker 1: place where you want to be is on iOS because 296 00:18:00,640 --> 00:18:03,760 Speaker 1: so many people are you're using iPhones. Even though Android 297 00:18:03,760 --> 00:18:07,840 Speaker 1: has a greater market share, it's also more I would say, dilute. 298 00:18:07,960 --> 00:18:11,840 Speaker 1: It's harder to get noticed um whereas Apple, like the 299 00:18:12,119 --> 00:18:15,840 Speaker 1: people who have iPhones are I would I would think, 300 00:18:15,960 --> 00:18:19,840 Speaker 1: based upon the studies I've seen, are more likely to 301 00:18:19,920 --> 00:18:23,600 Speaker 1: adopt your app and pay for it than the Google 302 00:18:23,680 --> 00:18:27,160 Speaker 1: site is. In general. Obviously, case by case it could 303 00:18:27,160 --> 00:18:32,439 Speaker 1: be very different. So because of this delay, that gave 304 00:18:33,480 --> 00:18:37,919 Speaker 1: Rad the opportunity to switch back over to Matchbox to 305 00:18:37,920 --> 00:18:40,520 Speaker 1: to work on that again, and it got a big 306 00:18:40,560 --> 00:18:42,720 Speaker 1: push to move into production. And the one of the 307 00:18:42,720 --> 00:18:46,000 Speaker 1: earliest things they did was they changed the name. I A. C. 308 00:18:46,200 --> 00:18:49,320 Speaker 1: Didn't want the app to be so closely associated associated 309 00:18:49,320 --> 00:18:51,920 Speaker 1: with Match dot Com. They wanted it to have its 310 00:18:51,920 --> 00:18:54,840 Speaker 1: own identity and not be confused with Match dot Com. 311 00:18:54,880 --> 00:18:58,440 Speaker 1: They didn't want people to think that Matchbox was Match 312 00:18:58,520 --> 00:19:01,800 Speaker 1: dot Com in app for so they changed the name 313 00:19:01,840 --> 00:19:06,240 Speaker 1: to Tinder now justin. Matein came up with the idea 314 00:19:06,280 --> 00:19:09,760 Speaker 1: to test Tender at a college campus. This is not 315 00:19:09,920 --> 00:19:13,159 Speaker 1: that different from how Facebook got its start when it 316 00:19:13,200 --> 00:19:17,200 Speaker 1: first began, and actually, if you remember your Facebook history, 317 00:19:17,359 --> 00:19:20,840 Speaker 1: Facebook essentially started out as a way for college students 318 00:19:20,920 --> 00:19:24,040 Speaker 1: to find like minded folks in order or to you know, 319 00:19:24,080 --> 00:19:28,200 Speaker 1: to go find date or socializing. It wasn't just to 320 00:19:28,320 --> 00:19:30,560 Speaker 1: keep in touch with the people, you know. It was 321 00:19:30,600 --> 00:19:33,399 Speaker 1: also meant as a way to meet new people. So 322 00:19:33,440 --> 00:19:36,520 Speaker 1: this is very much in that same vein. So the 323 00:19:36,560 --> 00:19:40,720 Speaker 1: two colleges they picked were the University of Southern California 324 00:19:40,880 --> 00:19:44,200 Speaker 1: and u C l A. And as I said earlier, 325 00:19:44,240 --> 00:19:48,000 Speaker 1: the popularity of the app skyrocketed pretty quickly, going from 326 00:19:48,000 --> 00:19:50,439 Speaker 1: three hundred to a thousand users within a week and 327 00:19:50,440 --> 00:19:54,280 Speaker 1: then just growing from there. Now Mateam would become the 328 00:19:54,320 --> 00:19:57,800 Speaker 1: chief marketing officer for Tinder, but he stepped down in 329 00:19:57,840 --> 00:20:00,880 Speaker 1: September two thousand fourteen in the way of a sexual 330 00:20:00,920 --> 00:20:04,800 Speaker 1: harassment lawsuit which was leveled by Tender vice president of 331 00:20:04,840 --> 00:20:10,840 Speaker 1: marketing and UH at least sometimes credited co founder Whitney Wolf. 332 00:20:11,520 --> 00:20:16,880 Speaker 1: I say sometimes credited because that whole story is incredibly complicated. 333 00:20:16,920 --> 00:20:21,560 Speaker 1: There are people who protest her being called a co founder, 334 00:20:21,600 --> 00:20:24,120 Speaker 1: although she was allowed to. You know, she was given 335 00:20:24,119 --> 00:20:27,240 Speaker 1: the blessing by Sean rad to call herself co founder 336 00:20:27,240 --> 00:20:29,920 Speaker 1: at least on a few occasions. There's some people who 337 00:20:29,960 --> 00:20:32,159 Speaker 1: say that she was not really a co founder, but 338 00:20:32,240 --> 00:20:35,280 Speaker 1: she certainly was there from the earliest days um, And 339 00:20:35,320 --> 00:20:37,960 Speaker 1: there are other people who say, no, it's perfectly legitimate 340 00:20:38,000 --> 00:20:40,600 Speaker 1: for her to call herself a co founder. It's a 341 00:20:40,680 --> 00:20:45,800 Speaker 1: really complicated issue, and it gets even more complex. Wolfe 342 00:20:45,800 --> 00:20:50,520 Speaker 1: had either resigned from Tinder or been forced from Tinder, 343 00:20:51,200 --> 00:20:55,479 Speaker 1: depending upon whose account you listen to, and so she 344 00:20:55,880 --> 00:21:00,720 Speaker 1: leveled this lawsuit against Tender and Matine specifically to say 345 00:21:00,720 --> 00:21:03,480 Speaker 1: that she had been sexually harassed and that that harassment 346 00:21:03,560 --> 00:21:07,240 Speaker 1: had led to her leaving the company, whether she was 347 00:21:07,280 --> 00:21:10,800 Speaker 1: forced out or resigned or whatever. And she presented as 348 00:21:10,840 --> 00:21:14,640 Speaker 1: evidence in this lawsuit some pretty nasty text messages from 349 00:21:14,680 --> 00:21:19,159 Speaker 1: the teen I mean, really vile stuff, and tech Crunch 350 00:21:19,200 --> 00:21:21,560 Speaker 1: actually ran a really long piece that I recommend if 351 00:21:21,600 --> 00:21:24,520 Speaker 1: you want to hear more about the story. They ran 352 00:21:24,560 --> 00:21:26,800 Speaker 1: a long piece about the lawsuit, and it gets really 353 00:21:26,840 --> 00:21:30,920 Speaker 1: complicated because people obviously could not talk about this openly. 354 00:21:31,400 --> 00:21:34,840 Speaker 1: It was all an ongoing lawsuit at the time, but 355 00:21:35,000 --> 00:21:38,520 Speaker 1: ultimately Mateine left the company as well. Uh He and 356 00:21:38,560 --> 00:21:41,399 Speaker 1: Sean Rad remained close friends. They had been best friends 357 00:21:41,440 --> 00:21:45,600 Speaker 1: for years before Tinder, so they remained friends. Wolf would 358 00:21:45,600 --> 00:21:49,200 Speaker 1: go on to found a Bumble, which is another dating app, 359 00:21:49,560 --> 00:21:51,919 Speaker 1: and the lawsuit itself was settled out of court for 360 00:21:51,920 --> 00:21:56,920 Speaker 1: an undisclosed sum. Now, since its launched, Tinder's popularity had 361 00:21:57,200 --> 00:22:00,480 Speaker 1: become insane, so within two years by two thousand the 362 00:22:00,560 --> 00:22:03,040 Speaker 1: end of two thousand fourteen, in other words, the app 363 00:22:03,119 --> 00:22:07,920 Speaker 1: had been downloaded forty million times, showing a six growth 364 00:22:08,000 --> 00:22:10,959 Speaker 1: in two thousand fourteen alone, and that there had been 365 00:22:11,040 --> 00:22:15,600 Speaker 1: more than one billion profiles checked out every day by 366 00:22:15,640 --> 00:22:18,760 Speaker 1: two thousand fourteen. That means people are swiping left or 367 00:22:18,880 --> 00:22:22,040 Speaker 1: right more than a billion times a day. Actually, I 368 00:22:22,040 --> 00:22:25,240 Speaker 1: think it's close to one point two billion. That means 369 00:22:25,240 --> 00:22:28,640 Speaker 1: that's about fourteen thousand profiles per second that are being 370 00:22:28,880 --> 00:22:32,800 Speaker 1: looked at and judged. Those billion swipes would lead to 371 00:22:32,800 --> 00:22:38,280 Speaker 1: about fourteen million matches per day, per every twenty four hours, 372 00:22:38,359 --> 00:22:41,840 Speaker 1: So you know, one billion, one point two billion profile 373 00:22:41,960 --> 00:22:46,080 Speaker 1: views and fourteen million matches. That's a pretty small percentage, 374 00:22:46,119 --> 00:22:49,680 Speaker 1: but still fourteen million. That's a lot of people meeting 375 00:22:50,240 --> 00:22:55,600 Speaker 1: somebody through this this app so it's pretty interesting now. 376 00:22:55,640 --> 00:23:00,199 Speaker 1: Sean Rad became the CEO of Tender and I was 377 00:23:00,240 --> 00:23:02,560 Speaker 1: still when it was still under the umbrella of I 378 00:23:02,680 --> 00:23:05,600 Speaker 1: A C. But he's the CEO. But in two thousand 379 00:23:05,640 --> 00:23:09,040 Speaker 1: fourteen he was removed from that position by I A C. 380 00:23:09,320 --> 00:23:12,760 Speaker 1: S Sam Yeagan. Sam Yeagan was sort of in charge 381 00:23:12,800 --> 00:23:15,639 Speaker 1: of all the digital dating stuff over at I A C. 382 00:23:16,640 --> 00:23:19,800 Speaker 1: And it became it was something of a shock to Rad. 383 00:23:19,880 --> 00:23:23,560 Speaker 1: I think it was partly as a response to the 384 00:23:23,600 --> 00:23:30,240 Speaker 1: fallout with the sexual harassment lawsuit. So Yeagan then removes 385 00:23:30,400 --> 00:23:33,760 Speaker 1: Rad and Rad ends up transitioning into the role of 386 00:23:33,840 --> 00:23:37,520 Speaker 1: president and member of the board. The I A C 387 00:23:37,840 --> 00:23:41,560 Speaker 1: would bring on Christopher Payne, who had worked as an 388 00:23:41,560 --> 00:23:45,480 Speaker 1: executive over at eBay, to take over as CEO, but 389 00:23:45,600 --> 00:23:48,920 Speaker 1: in March two thousand and fifteen, Payne would step aside. 390 00:23:49,200 --> 00:23:52,000 Speaker 1: Both Paine and I A s C would say that 391 00:23:52,119 --> 00:23:54,159 Speaker 1: this was not a good fit, that it was not 392 00:23:54,240 --> 00:23:57,280 Speaker 1: a good long term fit for him as CEO, so 393 00:23:57,359 --> 00:24:00,240 Speaker 1: who replaced Christopher Paine to take over the role of 394 00:24:00,280 --> 00:24:04,600 Speaker 1: CEO of Tinder Sean Rad. So Sean Rad returns to 395 00:24:04,880 --> 00:24:12,080 Speaker 1: CEO duties in March two thou at first we're moving 396 00:24:12,119 --> 00:24:15,159 Speaker 1: away from the stuff going on at the top levels 397 00:24:15,240 --> 00:24:18,760 Speaker 1: and the executive side of Tender. Let's look at their 398 00:24:18,760 --> 00:24:21,760 Speaker 1: business model. At first, there were no pathways to generate 399 00:24:22,080 --> 00:24:27,520 Speaker 1: revenue directly from Tinder. The original app was free to download, 400 00:24:27,640 --> 00:24:30,560 Speaker 1: it was free to use. You could swipe an unlimited 401 00:24:30,640 --> 00:24:34,479 Speaker 1: number of times per day. Really, you're only limited by 402 00:24:34,520 --> 00:24:37,280 Speaker 1: how many other Tinder users were in your general area. 403 00:24:37,840 --> 00:24:40,440 Speaker 1: I a C. Seemed to view Tender as a gateway 404 00:24:40,480 --> 00:24:43,360 Speaker 1: to other services like match dot com and Match dot 405 00:24:43,359 --> 00:24:47,399 Speaker 1: com is monetized, so in other words, they looked at 406 00:24:47,440 --> 00:24:51,359 Speaker 1: Tinder as being kind of a gateway and you could 407 00:24:51,400 --> 00:24:55,080 Speaker 1: actually end up using some of the more robust services 408 00:24:55,119 --> 00:24:58,600 Speaker 1: online which you would pay for, and Tender was fine. 409 00:24:58,640 --> 00:25:00,600 Speaker 1: It could be, it could be free, and that kind 410 00:25:00,600 --> 00:25:03,120 Speaker 1: of answers the question of well, how does Tinder make 411 00:25:03,160 --> 00:25:06,880 Speaker 1: its money. It's because it's part of this massive company. 412 00:25:07,119 --> 00:25:11,240 Speaker 1: It's not a tiny little startup that's operating all on 413 00:25:11,280 --> 00:25:14,840 Speaker 1: its own. It has these big corporate boots behind it, 414 00:25:14,960 --> 00:25:19,879 Speaker 1: so they were they had plenty of of operating money 415 00:25:19,920 --> 00:25:23,560 Speaker 1: to work with. And uh, everyone over at I a C. 416 00:25:23,800 --> 00:25:27,280 Speaker 1: Seemed really impressed by Tinder's growth. It was clear that 417 00:25:27,320 --> 00:25:30,080 Speaker 1: it was really popular, so they felt that it was 418 00:25:30,160 --> 00:25:33,920 Speaker 1: worthy of support. In two thousand and fourteen, there were 419 00:25:34,000 --> 00:25:37,240 Speaker 1: rumblings that Tinder would finally start experimenting with a couple 420 00:25:37,240 --> 00:25:40,920 Speaker 1: of different ways to generate revenue, and back at that time, 421 00:25:40,920 --> 00:25:44,440 Speaker 1: there were lots of different options being discussed, including showing 422 00:25:44,520 --> 00:25:48,520 Speaker 1: ads to people h and also starting up a premium service. 423 00:25:49,520 --> 00:25:53,040 Speaker 1: And the spring of two thousand fifteen, Tender launched a 424 00:25:53,119 --> 00:25:56,639 Speaker 1: premium service called Tinder Plus, and that ruffled some Tinder 425 00:25:56,720 --> 00:26:01,440 Speaker 1: users feathers because they made the claim that the way 426 00:26:01,480 --> 00:26:04,240 Speaker 1: they that Tender created a premium service was to take 427 00:26:04,320 --> 00:26:07,960 Speaker 1: features away from the free service and then make them 428 00:26:08,040 --> 00:26:11,520 Speaker 1: pay only. So, in other words, instead of creating a 429 00:26:11,600 --> 00:26:15,360 Speaker 1: better app that has a better experience, they created an 430 00:26:15,359 --> 00:26:18,760 Speaker 1: app that had some of the features native to the 431 00:26:18,840 --> 00:26:23,880 Speaker 1: free app but now had been turned off. For example, 432 00:26:23,960 --> 00:26:28,640 Speaker 1: unlimited swiping, that's the most obvious one. So the premium 433 00:26:28,680 --> 00:26:31,080 Speaker 1: service was said to have an unlimited number of swipes, 434 00:26:31,880 --> 00:26:34,520 Speaker 1: which immediately set off alarms and said the free version 435 00:26:34,520 --> 00:26:37,600 Speaker 1: would then be limited. And this is pretty complicated. You 436 00:26:37,640 --> 00:26:39,960 Speaker 1: might say, well, how many swipes do I get per day? 437 00:26:39,960 --> 00:26:44,679 Speaker 1: Then like, can I bank them? Can I roll them over? Well, 438 00:26:44,840 --> 00:26:47,959 Speaker 1: you can roll them over. How many you get per day, however, 439 00:26:48,160 --> 00:26:52,600 Speaker 1: is a little a little tricky. That limitation isn't even 440 00:26:52,680 --> 00:26:55,800 Speaker 1: across all tender users. It may be that you discover 441 00:26:56,320 --> 00:26:59,879 Speaker 1: your friend has way more swipes available than you do, 442 00:27:00,640 --> 00:27:03,399 Speaker 1: and even if you have, even if both of you 443 00:27:03,480 --> 00:27:07,840 Speaker 1: haven't rolled over any swipes. It's because this is based 444 00:27:07,840 --> 00:27:10,320 Speaker 1: on an algorithm and it can actually be tuned to 445 00:27:10,440 --> 00:27:14,679 Speaker 1: individual levels. So personally, if I were the one in charge, 446 00:27:15,119 --> 00:27:19,000 Speaker 1: I'd be truly evil. I'd be I'd be a terrible, 447 00:27:19,160 --> 00:27:21,600 Speaker 1: terrible person, and you would all hate me. But I 448 00:27:21,640 --> 00:27:24,280 Speaker 1: would be making so much money because what I would 449 00:27:24,320 --> 00:27:27,840 Speaker 1: do is I would look at how many swipes each 450 00:27:27,920 --> 00:27:31,600 Speaker 1: individual tender user typically uses in a session, so and 451 00:27:31,960 --> 00:27:34,679 Speaker 1: you can pull up that data and just actually make 452 00:27:34,720 --> 00:27:37,320 Speaker 1: this all automated. And then what I would do is 453 00:27:37,320 --> 00:27:40,040 Speaker 1: I would subtract that number by two and set that 454 00:27:40,119 --> 00:27:43,480 Speaker 1: as the limit. So let's say that then your average 455 00:27:43,480 --> 00:27:47,640 Speaker 1: session you look at fifty profiles, I would set your 456 00:27:47,640 --> 00:27:51,280 Speaker 1: limit to forty eight, because then I know that eventually 457 00:27:51,280 --> 00:27:53,840 Speaker 1: you're going to hit that limit, and then you're going 458 00:27:53,880 --> 00:27:57,960 Speaker 1: to eventually not want to hit that limit, and you'll 459 00:27:57,960 --> 00:28:02,439 Speaker 1: be given an incentive to go with the premium service 460 00:28:02,600 --> 00:28:05,080 Speaker 1: or you'll stop using it. But either way, if it's 461 00:28:05,080 --> 00:28:07,760 Speaker 1: a free app, I'm not losing any money if you 462 00:28:07,800 --> 00:28:12,000 Speaker 1: go away. I only gain money if you subscribe. So 463 00:28:12,240 --> 00:28:14,520 Speaker 1: that's how evil I would be if I were in charge. 464 00:28:14,960 --> 00:28:17,840 Speaker 1: I don't know what they did, that's just what I 465 00:28:17,840 --> 00:28:21,520 Speaker 1: would do. This is why I don't can and this 466 00:28:21,600 --> 00:28:23,120 Speaker 1: is why people don't put me in charge of things, 467 00:28:23,160 --> 00:28:26,560 Speaker 1: I guess. Another thing that got some people talking about 468 00:28:26,720 --> 00:28:29,920 Speaker 1: was that tender Plus didn't cost the same amount for 469 00:28:29,960 --> 00:28:34,520 Speaker 1: all users. If you are under thirty years old, the 470 00:28:34,600 --> 00:28:38,720 Speaker 1: cost is nine dollars and nine cents per month. If 471 00:28:38,760 --> 00:28:42,280 Speaker 1: you are thirty years old or older, the cost is 472 00:28:42,400 --> 00:28:47,040 Speaker 1: nineteen dollars and nine nine cents per month. So we 473 00:28:47,280 --> 00:28:50,320 Speaker 1: old folks are paying twice as much as you young 474 00:28:50,360 --> 00:28:53,240 Speaker 1: whipper snappers in order to try and find Mr or 475 00:28:53,400 --> 00:28:57,680 Speaker 1: Mrs right. So we see, yet again the cost of 476 00:28:57,800 --> 00:29:01,760 Speaker 1: growing old. Now, to understatement on the pricing was, and 477 00:29:01,840 --> 00:29:07,000 Speaker 1: this is a direct quote from a tender executive. We've 478 00:29:07,120 --> 00:29:11,360 Speaker 1: priced tender Plus based on a combination of factors, including 479 00:29:11,400 --> 00:29:14,120 Speaker 1: what we've learned through our testing, and we've found that 480 00:29:14,240 --> 00:29:17,320 Speaker 1: these price points were adopted very well by certain age 481 00:29:17,320 --> 00:29:21,680 Speaker 1: demographics end quote. In other words, they discovered that young 482 00:29:21,720 --> 00:29:25,320 Speaker 1: folks aren't as willing to pay as much per month 483 00:29:25,440 --> 00:29:28,280 Speaker 1: for this service, or they're not as able to because 484 00:29:28,320 --> 00:29:32,800 Speaker 1: they don't have as much income, and older folks desperate 485 00:29:33,000 --> 00:29:39,040 Speaker 1: for some companionship after a lifetime of solitary disappointment would 486 00:29:39,040 --> 00:29:42,000 Speaker 1: be more than willing to cough up the dough. I 487 00:29:42,080 --> 00:29:45,200 Speaker 1: might be over dramaticizing this a little bit, but to 488 00:29:45,280 --> 00:29:48,720 Speaker 1: be fair, I've had a lot of caffeine today. So 489 00:29:49,520 --> 00:29:54,320 Speaker 1: other features in Tender Plus include a rewind feature which 490 00:29:54,400 --> 00:29:57,880 Speaker 1: lets you undo a swipe left should you get distracted, 491 00:29:57,920 --> 00:30:00,440 Speaker 1: and dismiss a profile that could have been the per match. 492 00:30:01,000 --> 00:30:04,000 Speaker 1: So let's say you are pulling up tender and you're 493 00:30:04,000 --> 00:30:08,280 Speaker 1: looking through and you see someone who is incredibly attractive 494 00:30:08,320 --> 00:30:11,280 Speaker 1: to you. Their look is just really appealing. They seem 495 00:30:11,360 --> 00:30:14,960 Speaker 1: to be engaged in activities that you think are really fun. 496 00:30:15,400 --> 00:30:19,480 Speaker 1: Maybe you know it's a shot of a person uh 497 00:30:19,560 --> 00:30:21,720 Speaker 1: sledding down a hill and they're just got a big 498 00:30:21,760 --> 00:30:24,160 Speaker 1: smile on their face, and it's something that really as 499 00:30:24,200 --> 00:30:26,800 Speaker 1: someone that you know you love the snow, you love 500 00:30:26,920 --> 00:30:29,680 Speaker 1: having fun, you really want to connect with this person, 501 00:30:30,120 --> 00:30:32,320 Speaker 1: and so you put your finger on the screen and 502 00:30:32,360 --> 00:30:35,000 Speaker 1: you get distracted and you accidentally swipe left, and you 503 00:30:35,040 --> 00:30:41,000 Speaker 1: have doomed yourself. You are now alone. Well, if you 504 00:30:41,480 --> 00:30:44,680 Speaker 1: were to subscribe to the Tinder Plus service, you would 505 00:30:44,680 --> 00:30:47,680 Speaker 1: have an undo button and you can press undo and 506 00:30:47,720 --> 00:30:50,840 Speaker 1: then it would undo your last swipe left, so that 507 00:30:50,880 --> 00:30:54,360 Speaker 1: way you could actually swipe right instead. So if you 508 00:30:54,480 --> 00:30:56,720 Speaker 1: had been going through very quickly, because that you can 509 00:30:56,840 --> 00:30:59,560 Speaker 1: start doing this. I mean, the the Tinder app a 510 00:30:59,560 --> 00:31:01,640 Speaker 1: lot of people we'll talk about feeling a lot like 511 00:31:01,680 --> 00:31:04,240 Speaker 1: a game like You're it's almost like the whole the 512 00:31:04,320 --> 00:31:08,120 Speaker 1: old Hot or Not website where you would just you know, 513 00:31:08,200 --> 00:31:11,080 Speaker 1: you're judging people on their looks, and it may be 514 00:31:11,280 --> 00:31:13,920 Speaker 1: that you know you're you're going through a list of 515 00:31:13,960 --> 00:31:17,040 Speaker 1: people that don't do anything for you. So you're swiping left, 516 00:31:17,040 --> 00:31:19,280 Speaker 1: swiping left, swiping left, and then you realize, oh, that 517 00:31:19,360 --> 00:31:21,760 Speaker 1: last person I actually kind of thought looked attractive and 518 00:31:21,760 --> 00:31:25,240 Speaker 1: I swipe left. This would let you undo that. Now, 519 00:31:25,400 --> 00:31:27,520 Speaker 1: of course, keep in mind, this is all still based 520 00:31:27,560 --> 00:31:31,000 Speaker 1: upon how attractive you find someone initially, how physically attractive 521 00:31:31,000 --> 00:31:34,360 Speaker 1: you think they are. It's not guaranteed to actually lead 522 00:31:34,400 --> 00:31:37,840 Speaker 1: to anything. Fun or meaningful. If you undo and then 523 00:31:37,880 --> 00:31:40,640 Speaker 1: swipe right, it may very well be that you undo 524 00:31:40,720 --> 00:31:43,640 Speaker 1: and swipe right and the person that you swipe right 525 00:31:43,680 --> 00:31:46,640 Speaker 1: on either never sees your profile or swipes left on it. 526 00:31:46,840 --> 00:31:48,760 Speaker 1: There's no guarantee it's going to lead anywhere, but at 527 00:31:48,840 --> 00:31:53,560 Speaker 1: least it meets you haven't completely negated something that could 528 00:31:53,560 --> 00:31:58,240 Speaker 1: have been a potential match. Okay, So Tinder Plus also 529 00:31:58,280 --> 00:32:01,959 Speaker 1: includes a feature called Passport, which allows you to change 530 00:32:02,000 --> 00:32:06,640 Speaker 1: your location, meaning that, for example, I'm in Atlanta, but 531 00:32:06,720 --> 00:32:09,440 Speaker 1: let's say that I've got a trip plan to Hawaii, 532 00:32:10,040 --> 00:32:12,520 Speaker 1: and I want to be able to use Tender to 533 00:32:12,560 --> 00:32:14,680 Speaker 1: meet up with folks have a nice time while I'm 534 00:32:14,720 --> 00:32:17,400 Speaker 1: on vacation, maybe not even go on a date. Maybe 535 00:32:17,440 --> 00:32:19,880 Speaker 1: it's just to hang out and have fun, uh, not 536 00:32:19,920 --> 00:32:22,280 Speaker 1: like a not like a romantic date, but just to 537 00:32:22,280 --> 00:32:26,040 Speaker 1: to find someone who who seems interesting and could make 538 00:32:26,160 --> 00:32:30,680 Speaker 1: that vacation much more of a memorable experience for whatever reason. 539 00:32:31,320 --> 00:32:34,440 Speaker 1: Then Passport would allow you to change your location too, 540 00:32:35,280 --> 00:32:38,880 Speaker 1: wherever you're going, like Hawaii, and look for matches there. 541 00:32:39,480 --> 00:32:42,360 Speaker 1: That way you can you can check around. Because if 542 00:32:42,360 --> 00:32:46,280 Speaker 1: you just open up Tender normally, it's not necessarily going 543 00:32:46,320 --> 00:32:50,880 Speaker 1: to give you any matches in advance, So that's interesting. 544 00:32:50,960 --> 00:32:53,720 Speaker 1: It also could be incredibly creepy. I mean also if 545 00:32:53,720 --> 00:32:57,600 Speaker 1: some Tender users were worried that this would dilute the results, 546 00:32:57,640 --> 00:33:02,280 Speaker 1: that people would start setting their location wherever they just 547 00:33:02,400 --> 00:33:04,560 Speaker 1: you know, just getting curious, Like, I wonder what would 548 00:33:04,560 --> 00:33:06,600 Speaker 1: happen if I were in l A, Would I see 549 00:33:06,600 --> 00:33:12,680 Speaker 1: any celebrities because celebrities do use Tender. In fact, celebrities 550 00:33:12,760 --> 00:33:17,000 Speaker 1: use Tender, and Tender now will create verified accounts for 551 00:33:17,120 --> 00:33:21,480 Speaker 1: notable personalities. So let's say you fire up your phone 552 00:33:21,480 --> 00:33:23,440 Speaker 1: and find out that a cute pop star or a 553 00:33:23,480 --> 00:33:26,640 Speaker 1: hunky television actor that you really like happens to be 554 00:33:26,840 --> 00:33:30,440 Speaker 1: in the area, and she or he is also lonely. 555 00:33:30,960 --> 00:33:33,720 Speaker 1: But how do you know that person in the app 556 00:33:33,880 --> 00:33:36,200 Speaker 1: is actually who they say they are, rather than just 557 00:33:36,280 --> 00:33:39,560 Speaker 1: someone who has created a fake profile and and fed 558 00:33:39,600 --> 00:33:43,600 Speaker 1: it pictures of this person and then turned on Tinder. Well, 559 00:33:43,600 --> 00:33:46,640 Speaker 1: Tender verifies accounts in a way very similar to Twitter, 560 00:33:46,960 --> 00:33:49,480 Speaker 1: and you actually see a check mark next to their name, 561 00:33:49,760 --> 00:33:53,720 Speaker 1: which is Tender's tenders indication that yes, the celebrity that 562 00:33:53,800 --> 00:33:56,480 Speaker 1: you are looking at is actually on Tender. They are 563 00:33:56,560 --> 00:33:59,680 Speaker 1: actually looking for love and maybe you'll fit the bill. 564 00:34:00,560 --> 00:34:03,840 Speaker 1: So imagine builing up Tinder and seeing a celebrity there. 565 00:34:03,880 --> 00:34:06,240 Speaker 1: I know that there are quite a few that supposedly 566 00:34:06,360 --> 00:34:10,439 Speaker 1: use it. Apparently Hillary Duff and Leonardo DiCaprio have all 567 00:34:10,480 --> 00:34:15,000 Speaker 1: all both been on this app um and you know 568 00:34:15,040 --> 00:34:18,879 Speaker 1: they point out sometimes this allows you to have that 569 00:34:18,920 --> 00:34:23,160 Speaker 1: first interaction with a person without it being weird. I 570 00:34:23,200 --> 00:34:26,600 Speaker 1: mean for celebrities in particular, it's got to be tough 571 00:34:26,760 --> 00:34:30,200 Speaker 1: because so many people feel like they know them simply 572 00:34:30,239 --> 00:34:33,200 Speaker 1: because they've seen them on television or in movies or whatever. 573 00:34:33,880 --> 00:34:36,400 Speaker 1: But you don't really know them. You just know their work, 574 00:34:36,880 --> 00:34:40,080 Speaker 1: and Tinder in a way can help them find people 575 00:34:40,120 --> 00:34:44,960 Speaker 1: who seem interesting without its seeming like that person is 576 00:34:45,000 --> 00:34:48,839 Speaker 1: putting on whatever act they can in order to get 577 00:34:48,880 --> 00:34:51,839 Speaker 1: to meet a celebrity. So I can totally get that, 578 00:34:52,080 --> 00:34:56,400 Speaker 1: although the verified obviously makes it trickier because if you 579 00:34:56,640 --> 00:35:00,759 Speaker 1: see somebody verified on Tinder, then you know already this 580 00:35:00,800 --> 00:35:03,040 Speaker 1: is a notable personality of some sort, even if you're 581 00:35:03,040 --> 00:35:08,040 Speaker 1: not familiar with that person's work or their notability. Well. 582 00:35:08,160 --> 00:35:12,040 Speaker 1: Tenders also adding new features all the time, Some of 583 00:35:12,040 --> 00:35:16,320 Speaker 1: them help daters avoid potentially awkward situations. So, for example, 584 00:35:16,360 --> 00:35:18,719 Speaker 1: you can now see if you and your potential date 585 00:35:18,760 --> 00:35:22,800 Speaker 1: have any friends in common. You'll actually see mutual friends 586 00:35:22,880 --> 00:35:25,960 Speaker 1: and friends of friends, so you can consider how that 587 00:35:26,040 --> 00:35:28,640 Speaker 1: might influence your decision to take things a step further, 588 00:35:28,719 --> 00:35:31,080 Speaker 1: whether or not you want to actually meet this person 589 00:35:31,120 --> 00:35:34,600 Speaker 1: in real life. If you both like a lot of 590 00:35:34,600 --> 00:35:37,560 Speaker 1: the same people, that might be an indication that it's 591 00:35:37,560 --> 00:35:40,160 Speaker 1: a good fit. That you know, if you're all both 592 00:35:40,200 --> 00:35:43,520 Speaker 1: friends with a lot of the same folks, it might 593 00:35:43,600 --> 00:35:46,520 Speaker 1: mean that you have very compatible personalities. But it could 594 00:35:46,560 --> 00:35:48,960 Speaker 1: also help you avoid a situation in which someone might 595 00:35:49,000 --> 00:35:51,120 Speaker 1: be technically in a relationship right now but kind of 596 00:35:51,120 --> 00:35:54,719 Speaker 1: looking around for their next new Saturday night thing. Or 597 00:35:54,800 --> 00:35:57,920 Speaker 1: maybe you look at this person you think, oh, I'm 598 00:35:57,960 --> 00:36:00,560 Speaker 1: really not looking for anything serious right now. I'm looking 599 00:36:00,600 --> 00:36:03,680 Speaker 1: for something just, you know, a casual relationship, and I'm 600 00:36:03,719 --> 00:36:05,920 Speaker 1: going to be totally upfront about that. I want it 601 00:36:05,960 --> 00:36:08,800 Speaker 1: to be a casual relationship and I want both parties 602 00:36:08,800 --> 00:36:11,279 Speaker 1: to be aware of that. However, if we all know 603 00:36:11,440 --> 00:36:15,080 Speaker 1: the same people, that could end up becoming awkward among 604 00:36:15,160 --> 00:36:17,759 Speaker 1: this group of friends. So it might be helpful in 605 00:36:17,800 --> 00:36:21,520 Speaker 1: that sense too. Uh, I guess I mean again. I've 606 00:36:21,560 --> 00:36:23,799 Speaker 1: been out of the dating life for so long that 607 00:36:24,200 --> 00:36:27,279 Speaker 1: these are all strange and unusual words to me. But 608 00:36:27,360 --> 00:36:30,480 Speaker 1: the latest feature as of the recording of this podcast 609 00:36:30,600 --> 00:36:35,719 Speaker 1: in Tender is the super like. In high school, we 610 00:36:35,800 --> 00:36:39,279 Speaker 1: used to call this like like. You know, do you 611 00:36:39,320 --> 00:36:43,560 Speaker 1: like me? Do you like like me? Check one yes, no, 612 00:36:44,120 --> 00:36:47,520 Speaker 1: or maybe uh. In this case, super like is a 613 00:36:47,560 --> 00:36:50,160 Speaker 1: new way to swipe on profile, so you know, you 614 00:36:50,200 --> 00:36:54,440 Speaker 1: swipe left for no or nope, and Tender language swipe 615 00:36:54,640 --> 00:36:57,920 Speaker 1: right for I am interested, and you swipe up for 616 00:36:58,000 --> 00:37:00,600 Speaker 1: a super like. You can also use an other uh 617 00:37:01,160 --> 00:37:03,200 Speaker 1: interface in the app itself if you don't want to 618 00:37:03,200 --> 00:37:06,960 Speaker 1: swipe up, but a super like sends a notification to 619 00:37:07,040 --> 00:37:10,760 Speaker 1: the person who's profile you've tagged. In other words, normal 620 00:37:10,880 --> 00:37:15,040 Speaker 1: operation of Tender. No one gets any indication that someone 621 00:37:15,080 --> 00:37:18,760 Speaker 1: has liked or disliked their profile until they have liked 622 00:37:18,840 --> 00:37:21,080 Speaker 1: the other person's profile, and even then you don't get 623 00:37:21,080 --> 00:37:24,400 Speaker 1: an indication if they didn't like it you only you 624 00:37:24,440 --> 00:37:28,560 Speaker 1: only get a connection if both of you say yes, well, 625 00:37:28,640 --> 00:37:31,520 Speaker 1: it's super like. It's a little different. If I were 626 00:37:31,560 --> 00:37:34,600 Speaker 1: to super like a profile, that person would receive a 627 00:37:34,640 --> 00:37:39,160 Speaker 1: notification saying hey, Jonathan Strickland just super liked you. Now, 628 00:37:39,160 --> 00:37:43,000 Speaker 1: Tender says this is probably going to allow for more 629 00:37:43,760 --> 00:37:48,200 Speaker 1: connections because you are only given one super like per 630 00:37:48,320 --> 00:37:50,680 Speaker 1: day and you can't bank them, you can't roll them 631 00:37:50,680 --> 00:37:53,080 Speaker 1: over to the next day. So it's a use it 632 00:37:53,160 --> 00:37:55,759 Speaker 1: or lose it, and if you use it, that's the 633 00:37:55,800 --> 00:37:57,960 Speaker 1: only one you get to use for that twenty four 634 00:37:57,960 --> 00:38:00,800 Speaker 1: hour period. So if I send someone is super like, 635 00:38:00,960 --> 00:38:04,759 Speaker 1: they know, all right, well he really does like at 636 00:38:04,840 --> 00:38:08,400 Speaker 1: least my appearance, because he used up his one and 637 00:38:08,440 --> 00:38:12,920 Speaker 1: only chance today to say I like you. At that point, 638 00:38:13,320 --> 00:38:15,400 Speaker 1: the person can swipe left and you just lost your 639 00:38:15,440 --> 00:38:19,080 Speaker 1: super like you. You you took a chance and you 640 00:38:19,239 --> 00:38:22,719 Speaker 1: struck out and that is the way life goes sometimes, 641 00:38:23,120 --> 00:38:25,319 Speaker 1: or they can swipe right and things can go on 642 00:38:25,480 --> 00:38:30,080 Speaker 1: from there. Now you know. It's it's an interesting idea. 643 00:38:30,200 --> 00:38:33,200 Speaker 1: It's already rolled out in Australia as of the recording 644 00:38:33,200 --> 00:38:36,120 Speaker 1: of this podcast, it has not rolled out beyond Australia, 645 00:38:36,160 --> 00:38:39,040 Speaker 1: but it's supposed to continue to roll out to Tender 646 00:38:39,160 --> 00:38:42,040 Speaker 1: users around the world throughout the rest of the year. 647 00:38:42,520 --> 00:38:47,600 Speaker 1: So that is the latest on Tender personally. I remember 648 00:38:47,600 --> 00:38:50,759 Speaker 1: when I first heard about Tinder. I think I had 649 00:38:50,800 --> 00:38:56,759 Speaker 1: the grumpy old man, conservative dismissive opinion about it, like, 650 00:38:57,080 --> 00:38:59,200 Speaker 1: you know, oh, this is so shallow. It's just people 651 00:38:59,239 --> 00:39:02,560 Speaker 1: hooking up because as of the way they look. The 652 00:39:02,640 --> 00:39:05,080 Speaker 1: more I think about, the more I realized, and now 653 00:39:05,160 --> 00:39:07,479 Speaker 1: this is kind of a this this is no less 654 00:39:07,600 --> 00:39:11,120 Speaker 1: legitimate than other means of just meeting people, seeing someone 655 00:39:11,160 --> 00:39:13,480 Speaker 1: that you think is attractive and coming up and and 656 00:39:13,560 --> 00:39:17,080 Speaker 1: saying hello and trying to strike up a conversation. It's 657 00:39:17,120 --> 00:39:21,920 Speaker 1: also safer because it doesn't put anyone in an awkward 658 00:39:21,920 --> 00:39:25,000 Speaker 1: physical situation. They can choose at the very beginning whether 659 00:39:25,080 --> 00:39:28,000 Speaker 1: or not they want to pursue anything. Um And I 660 00:39:28,040 --> 00:39:31,560 Speaker 1: can see how this would appeal to the millennial generation, 661 00:39:32,080 --> 00:39:38,719 Speaker 1: people who have increasingly shifted their interactions to an online approach. 662 00:39:39,120 --> 00:39:43,000 Speaker 1: And honestly, even though I'm a Generation xer, I'm older 663 00:39:43,000 --> 00:39:46,040 Speaker 1: than the millennial generation, I feel very much the same 664 00:39:46,080 --> 00:39:48,399 Speaker 1: way in a lot of respects. I do enjoy using 665 00:39:48,400 --> 00:39:51,640 Speaker 1: the internet to do stuff like heck, I to order 666 00:39:51,680 --> 00:39:54,680 Speaker 1: stuff and go shopping, to order food, to to call 667 00:39:54,760 --> 00:39:57,719 Speaker 1: for things like an uber car or whatever it may be. 668 00:39:58,920 --> 00:40:02,480 Speaker 1: I get that it's something that I really uh gravitate 669 00:40:02,520 --> 00:40:08,040 Speaker 1: toward as well. So upon further consideration, I think I'm 670 00:40:08,200 --> 00:40:12,120 Speaker 1: much more fair towards Tender than I used to be. Granted, 671 00:40:12,320 --> 00:40:14,759 Speaker 1: I am glad that I don't have to use it, 672 00:40:15,000 --> 00:40:17,319 Speaker 1: because I think I might be depressed at how few 673 00:40:17,360 --> 00:40:20,680 Speaker 1: matches would pop up people swiping right on my profile. 674 00:40:21,360 --> 00:40:24,239 Speaker 1: But um, I think it is an interesting app, and 675 00:40:24,280 --> 00:40:28,480 Speaker 1: I think if used correctly, there's nothing wrong with it. Honestly, 676 00:40:29,000 --> 00:40:34,280 Speaker 1: it requires the participation and honesty of the people using 677 00:40:34,320 --> 00:40:37,879 Speaker 1: the app. It's not just on the app itself, it's 678 00:40:37,920 --> 00:40:40,400 Speaker 1: on the behavior of the people using it. And you 679 00:40:40,480 --> 00:40:44,000 Speaker 1: can use or misuse any tool, and I'm sure there 680 00:40:44,040 --> 00:40:47,200 Speaker 1: are more than plenty of examples of people out there 681 00:40:47,600 --> 00:40:51,600 Speaker 1: who have tried to use Tender and just gone for 682 00:40:51,760 --> 00:40:55,680 Speaker 1: like an easy sexual encounter or something along those lines. 683 00:40:56,239 --> 00:40:59,040 Speaker 1: And again, if you're not being honest or up front 684 00:40:59,040 --> 00:41:01,880 Speaker 1: about that stuff, aim on you that is not cool. 685 00:41:02,600 --> 00:41:05,080 Speaker 1: But um, you know, if everyone is is on the 686 00:41:05,120 --> 00:41:09,799 Speaker 1: same page and everything is being agreed upon and transparent, 687 00:41:09,840 --> 00:41:14,320 Speaker 1: then I see no reason to condemn it that. You know, obviously, 688 00:41:14,920 --> 00:41:18,680 Speaker 1: uh so interesting story. There's a lot more to talk about, 689 00:41:18,719 --> 00:41:20,799 Speaker 1: I'm sure with Tinder, and I'm sure we'll see more 690 00:41:21,560 --> 00:41:24,560 Speaker 1: uh interesting things pop up in the future. I'm curious 691 00:41:24,600 --> 00:41:27,120 Speaker 1: to see how well Tinder plus does in the long run, 692 00:41:27,360 --> 00:41:30,840 Speaker 1: whether it actually generates a significant amount of income. It 693 00:41:30,960 --> 00:41:36,359 Speaker 1: might if people really find that that experience to be rewarding, 694 00:41:36,520 --> 00:41:39,600 Speaker 1: you know, whether they just enjoy the thrill of being 695 00:41:39,640 --> 00:41:43,240 Speaker 1: able to look at different profiles, or they're actually seeking 696 00:41:43,239 --> 00:41:47,959 Speaker 1: out someone, either for you know, a casual dating experience 697 00:41:48,120 --> 00:41:51,480 Speaker 1: or looking for someone to to really be their significant other. 698 00:41:52,440 --> 00:41:55,359 Speaker 1: It's really an interesting approach. So while there has been 699 00:41:55,440 --> 00:41:59,120 Speaker 1: drama behind the scenes, uh, and I'm sure there will 700 00:41:59,120 --> 00:42:02,440 Speaker 1: continue to be issues with this, this kind of shuffling 701 00:42:02,440 --> 00:42:07,400 Speaker 1: around at the top levels. It's it's obviously a compelling idea. 702 00:42:07,520 --> 00:42:10,120 Speaker 1: Whether or not it stays compelling or something else takes 703 00:42:10,120 --> 00:42:12,800 Speaker 1: its place, we'll have to wait and see. I've already 704 00:42:12,800 --> 00:42:18,719 Speaker 1: heard that the age range of users has increased. That 705 00:42:18,840 --> 00:42:22,160 Speaker 1: the you know it used to be the Tender users 706 00:42:22,200 --> 00:42:24,799 Speaker 1: were between the ages of like eighteen and twenty five, 707 00:42:24,840 --> 00:42:28,320 Speaker 1: but now it's closer to sixty percent. So there's either 708 00:42:29,120 --> 00:42:33,160 Speaker 1: a large influx of older people joining Tender, or younger 709 00:42:33,200 --> 00:42:36,680 Speaker 1: people are already getting less interested in and dropping away. 710 00:42:36,960 --> 00:42:39,400 Speaker 1: So it may be that in another two or three years. 711 00:42:39,800 --> 00:42:41,839 Speaker 1: Tender will be another one of those apps that we 712 00:42:41,880 --> 00:42:44,520 Speaker 1: don't even talk about anymore. We'll have to wait and see. 713 00:42:45,400 --> 00:42:47,759 Speaker 1: What do you guys think about Tender? Let me hear 714 00:42:47,800 --> 00:42:51,080 Speaker 1: your thoughts. Send me an email the assss tech Stuff 715 00:42:51,320 --> 00:42:53,799 Speaker 1: at how stuff works dot com. You can also let 716 00:42:53,800 --> 00:42:56,720 Speaker 1: me know what topics would you like to hear about 717 00:42:56,800 --> 00:43:00,840 Speaker 1: in the future. Are there any particular apps or companies, 718 00:43:00,960 --> 00:43:05,400 Speaker 1: or technologies or personalities anything in the text sphere that 719 00:43:05,480 --> 00:43:08,319 Speaker 1: you would like to learn more about or have my 720 00:43:08,440 --> 00:43:13,040 Speaker 1: perspective on. Please write me again. That email is tech 721 00:43:13,160 --> 00:43:16,839 Speaker 1: Stuff at how stuff works dot com. You can also 722 00:43:16,960 --> 00:43:20,680 Speaker 1: drop me a line on Facebook, Tumbler, or Twitter. I 723 00:43:20,719 --> 00:43:24,200 Speaker 1: am Text Stuff hs W as all three of those, 724 00:43:24,760 --> 00:43:33,320 Speaker 1: and I will talk to you again really soon for 725 00:43:33,480 --> 00:43:35,840 Speaker 1: more on this and pathans of other topics because it 726 00:43:35,880 --> 00:43:46,280 Speaker 1: has to have works dot com