1 00:00:04,400 --> 00:00:07,760 Speaker 1: Welcome to tech Stuff, a production from I Heart Radio. 2 00:00:11,840 --> 00:00:14,600 Speaker 1: Hey there, and welcome to tech Stuff. I'm your host 3 00:00:14,640 --> 00:00:17,560 Speaker 1: job in Strickland. I'm an executive producer with I Heart Radio. 4 00:00:17,680 --> 00:00:20,200 Speaker 1: And how the tech are you? It's time for a 5 00:00:20,239 --> 00:00:24,280 Speaker 1: classic episode. This episode originally published on September twenty three, 6 00:00:24,600 --> 00:00:29,600 Speaker 1: two thousand fifteen. It is called Tinder Loving Care and 7 00:00:29,640 --> 00:00:35,120 Speaker 1: it is of course about the app designed for dating 8 00:00:35,159 --> 00:00:41,120 Speaker 1: slash hooking up Tinder enjoy. I really hope you guys 9 00:00:41,360 --> 00:00:45,240 Speaker 1: swipe right on this episode, and that is in fact 10 00:00:45,280 --> 00:00:48,400 Speaker 1: a reference to the topic I will be discussing today. 11 00:00:48,440 --> 00:00:53,280 Speaker 1: That topic is Tinder, the dating app, and you probably 12 00:00:53,320 --> 00:00:56,240 Speaker 1: heard about it. I'm pretty sure most of you are 13 00:00:56,280 --> 00:00:58,120 Speaker 1: aware of what Tinder is. Some of you may be 14 00:00:58,280 --> 00:01:01,680 Speaker 1: active Tinder users. It's a dating app that you download 15 00:01:01,720 --> 00:01:04,800 Speaker 1: to a mobile device and when you fire it up, 16 00:01:05,640 --> 00:01:08,640 Speaker 1: it shows you pictures of people who also have the 17 00:01:08,680 --> 00:01:12,399 Speaker 1: app installed on their mobile devices and who are within 18 00:01:12,480 --> 00:01:16,480 Speaker 1: your general location a radius that you have set, so 19 00:01:16,600 --> 00:01:20,680 Speaker 1: let's say it's five miles. You will see other profiles 20 00:01:20,680 --> 00:01:23,240 Speaker 1: in there that are somewhere within that five mile range 21 00:01:23,760 --> 00:01:26,640 Speaker 1: of people who also have Tender, and it will match 22 00:01:26,680 --> 00:01:30,320 Speaker 1: you up with the preferences you've set. So for example, 23 00:01:30,600 --> 00:01:33,960 Speaker 1: if you are a man seeking a woman, it will 24 00:01:33,959 --> 00:01:37,080 Speaker 1: show you the female profiles, but it won't show you 25 00:01:37,120 --> 00:01:40,399 Speaker 1: the male profiles. And the way the app works is 26 00:01:40,440 --> 00:01:43,280 Speaker 1: you look at this picture and if you think that 27 00:01:43,319 --> 00:01:45,600 Speaker 1: person is attractive, if you think I would like to 28 00:01:45,680 --> 00:01:48,480 Speaker 1: speak with this person, I think, uh, this, this person 29 00:01:48,600 --> 00:01:51,800 Speaker 1: has a look that appeals to me, you would swipe 30 00:01:52,040 --> 00:01:55,360 Speaker 1: right on the screen, and that essentially is like giving 31 00:01:55,400 --> 00:01:59,680 Speaker 1: that person a check saying you are a CUTEI petuity. 32 00:02:00,200 --> 00:02:02,960 Speaker 1: If the person's picture doesn't do anything for you, you you 33 00:02:03,200 --> 00:02:06,280 Speaker 1: swipe to the left and say you are going to 34 00:02:06,320 --> 00:02:09,000 Speaker 1: the heap. I do not want to speak with you. 35 00:02:09,000 --> 00:02:11,480 Speaker 1: You are not interesting to me, you don't appeal to me. 36 00:02:11,720 --> 00:02:14,480 Speaker 1: Whatever reason. Maybe it's just that you know you're like, 37 00:02:14,919 --> 00:02:17,959 Speaker 1: you know, I don't like that hairstyle very much. It 38 00:02:18,000 --> 00:02:20,919 Speaker 1: could be something as simple as that. And you only 39 00:02:20,960 --> 00:02:23,280 Speaker 1: get to talk to someone if they have looked at 40 00:02:23,280 --> 00:02:27,400 Speaker 1: your profile, and also they swipe right on your picture. 41 00:02:28,320 --> 00:02:30,480 Speaker 1: So in other words, if you give a person a 42 00:02:30,560 --> 00:02:33,240 Speaker 1: check mark and they look at you and give you 43 00:02:33,280 --> 00:02:37,359 Speaker 1: a check mark, then a line of communication can open up. 44 00:02:37,440 --> 00:02:41,440 Speaker 1: Otherwise one party will continue to be perpetually unaware of 45 00:02:41,480 --> 00:02:44,960 Speaker 1: the other party, and it doesn't indicate that someone has 46 00:02:45,160 --> 00:02:48,280 Speaker 1: swiped right or left for you again, you only know 47 00:02:48,400 --> 00:02:50,720 Speaker 1: if you both swipe right, which takes a lot of 48 00:02:50,720 --> 00:02:53,760 Speaker 1: the pressure off obviously. So once you both swipe right, 49 00:02:53,800 --> 00:02:56,520 Speaker 1: you can chat and set up a time and place 50 00:02:56,600 --> 00:03:00,040 Speaker 1: to meet. You can actually go on a date and 51 00:03:00,240 --> 00:03:03,120 Speaker 1: just have a nice time, or maybe you just want 52 00:03:03,120 --> 00:03:05,359 Speaker 1: to meet in person. See if sparks are flying right 53 00:03:05,360 --> 00:03:08,560 Speaker 1: on the get go. The app relies very heavily on 54 00:03:08,560 --> 00:03:12,880 Speaker 1: Facebook integration. It pulls in photos and your likes from 55 00:03:13,560 --> 00:03:15,680 Speaker 1: various pages that you visited, So if you like a 56 00:03:15,720 --> 00:03:19,440 Speaker 1: lot of different pages for bands or movies or brands 57 00:03:19,520 --> 00:03:22,280 Speaker 1: or whatever, those will pop up in the profile as well. 58 00:03:23,360 --> 00:03:26,080 Speaker 1: Uh it'll also just give a really brief overview of 59 00:03:26,120 --> 00:03:30,720 Speaker 1: a person's personality. There's also some integration with Instagram to 60 00:03:30,800 --> 00:03:33,400 Speaker 1: help fill out that profile with other pictures. You can 61 00:03:33,440 --> 00:03:36,680 Speaker 1: actually select I think up to six pictures to represent 62 00:03:36,720 --> 00:03:40,440 Speaker 1: yourself within your tender profile, so somebody can take one 63 00:03:40,440 --> 00:03:42,680 Speaker 1: look and they might say, all right, well that's the 64 00:03:42,800 --> 00:03:44,760 Speaker 1: representative photo, but let me look at a couple of 65 00:03:44,800 --> 00:03:48,480 Speaker 1: others before I decide. And just like we often find 66 00:03:48,600 --> 00:03:54,640 Speaker 1: in real life interactions. The app focuses on physical attraction first, 67 00:03:55,040 --> 00:03:58,200 Speaker 1: but let's be fair, that's what we do in real life. 68 00:03:58,280 --> 00:04:00,920 Speaker 1: I mean, if you are at a an event and 69 00:04:00,960 --> 00:04:04,720 Speaker 1: you see someone who catches your eye, often physical attraction 70 00:04:04,840 --> 00:04:07,680 Speaker 1: is the first indicator that inspires you to go and 71 00:04:07,720 --> 00:04:11,119 Speaker 1: try and have an interaction with that person. And then 72 00:04:11,160 --> 00:04:14,280 Speaker 1: from there things might develop further and you might find 73 00:04:14,320 --> 00:04:16,920 Speaker 1: that you really like that person, or you might find 74 00:04:16,960 --> 00:04:20,719 Speaker 1: that you're completely incompatible and it would just be a 75 00:04:20,720 --> 00:04:23,800 Speaker 1: total mistake to try and have any sort of relationship 76 00:04:23,880 --> 00:04:28,159 Speaker 1: with that person. But ultimately that physical attraction is often 77 00:04:28,240 --> 00:04:31,600 Speaker 1: the first step that leads us to those interactions. It's 78 00:04:31,640 --> 00:04:35,160 Speaker 1: not always the case, but it often is. So anyway, 79 00:04:35,240 --> 00:04:38,120 Speaker 1: today I'm going to talk about where Tender came from 80 00:04:38,200 --> 00:04:41,839 Speaker 1: and how it's business model works. Because the technology itself 81 00:04:41,920 --> 00:04:46,479 Speaker 1: is incredibly simple. It's essentially GPS toho determine where your 82 00:04:46,520 --> 00:04:49,679 Speaker 1: location is and where people are in relation to you, 83 00:04:50,760 --> 00:04:55,400 Speaker 1: and it's this app matching or profile matching software. Not 84 00:04:55,520 --> 00:04:58,239 Speaker 1: a lot to it, not terribly complicated, but the behind 85 00:04:58,320 --> 00:05:03,440 Speaker 1: the scenes stuff is really interesting. Now, the general story 86 00:05:03,440 --> 00:05:08,159 Speaker 1: of Tinder, the one that you know is generally pushed 87 00:05:09,360 --> 00:05:11,720 Speaker 1: uh to to kind of give it a sort of 88 00:05:12,920 --> 00:05:19,320 Speaker 1: campus mystique, This idea of of young, young entrepreneurs developing 89 00:05:19,880 --> 00:05:23,000 Speaker 1: a really powerful app in in like a dorm room. 90 00:05:24,160 --> 00:05:27,000 Speaker 1: There's this kind of image of that with Tinder. But 91 00:05:27,040 --> 00:05:30,320 Speaker 1: that's not exactly what happened. Now, there were two entrepreneurs, 92 00:05:30,680 --> 00:05:34,400 Speaker 1: Sean rad and Justin Matine, who built the app, and 93 00:05:34,440 --> 00:05:37,719 Speaker 1: they tested it at the University of California, and they 94 00:05:37,800 --> 00:05:40,520 Speaker 1: launched it in two thousand twelve with just three people 95 00:05:40,640 --> 00:05:44,280 Speaker 1: as their initial seed test group, and by the end 96 00:05:44,279 --> 00:05:46,040 Speaker 1: of the week the app had more than a thousand 97 00:05:46,120 --> 00:05:49,200 Speaker 1: active users, and Rather and Matine were just twenty seven 98 00:05:49,200 --> 00:05:52,400 Speaker 1: when they launched Tinder. But the story doesn't really start there. 99 00:05:52,480 --> 00:05:56,440 Speaker 1: It's not like these are two post grads who happened 100 00:05:56,480 --> 00:05:58,599 Speaker 1: to come up with a cool idea and try it 101 00:05:58,600 --> 00:06:02,560 Speaker 1: out of the college. The narrative or tender isn't just 102 00:06:02,680 --> 00:06:06,440 Speaker 1: about that. It's really more about how Tinder is part 103 00:06:06,440 --> 00:06:12,359 Speaker 1: of a much much larger organization called Interactive Core or 104 00:06:12,480 --> 00:06:17,760 Speaker 1: i a C. Now i a C is, at least 105 00:06:17,800 --> 00:06:21,680 Speaker 1: according to their website anyway, a leading media and internet 106 00:06:21,720 --> 00:06:27,320 Speaker 1: company focused on the areas of search applications, online dating media, 107 00:06:27,480 --> 00:06:30,279 Speaker 1: and e commerce. That's a direct quote from their site. 108 00:06:30,880 --> 00:06:33,159 Speaker 1: And it's a big company. There are more than a 109 00:06:33,240 --> 00:06:36,960 Speaker 1: hundred fifty brands or products that are under that umbrella, 110 00:06:37,160 --> 00:06:40,159 Speaker 1: and you would recognize these names. These are not small names. 111 00:06:40,400 --> 00:06:43,960 Speaker 1: For example, Match dot com and okay Cupid, so you've 112 00:06:43,960 --> 00:06:48,479 Speaker 1: got some major dating sites there. There's also video, there's 113 00:06:48,560 --> 00:06:52,120 Speaker 1: college humor and about dot com, so these are these 114 00:06:52,160 --> 00:06:56,600 Speaker 1: are big brands that are under this this company. So 115 00:06:56,640 --> 00:06:59,600 Speaker 1: to understand where Tinder is and why it hasn't been 116 00:06:59,640 --> 00:07:04,160 Speaker 1: snapped up by someone like Google or Twitter or Facebook, 117 00:07:04,480 --> 00:07:07,520 Speaker 1: you need to know what I A C is and 118 00:07:07,560 --> 00:07:10,480 Speaker 1: where it comes from. So this is starting to sound 119 00:07:10,520 --> 00:07:13,000 Speaker 1: like a little bit of a bait and switch, I understand, 120 00:07:13,040 --> 00:07:15,480 Speaker 1: but I promise I'm going to get back to tender 121 00:07:15,680 --> 00:07:19,560 Speaker 1: a little further in for the moment. Let's first take 122 00:07:19,640 --> 00:07:23,520 Speaker 1: a look at I A C. And it's storied history. 123 00:07:23,640 --> 00:07:29,200 Speaker 1: So this is gonna get weird and complicated because history 124 00:07:29,360 --> 00:07:33,960 Speaker 1: is never as straightforward as you might imagine. So we 125 00:07:34,000 --> 00:07:36,840 Speaker 1: have to look at before I A C. So I 126 00:07:36,840 --> 00:07:39,679 Speaker 1: guess b I A C if you're trying to create 127 00:07:39,680 --> 00:07:42,560 Speaker 1: a new nomenclature for this. So before there was an 128 00:07:42,560 --> 00:07:46,600 Speaker 1: I A C. There was a company called Silver King Broadcasting. 129 00:07:47,080 --> 00:07:49,640 Speaker 1: And before there was Silver King, there was the Home 130 00:07:49,760 --> 00:07:54,280 Speaker 1: Shopping Network, And before there was the Home Shopping Network, 131 00:07:54,320 --> 00:07:58,200 Speaker 1: there was the Home Shopping Club. But don't worry, that's 132 00:07:58,240 --> 00:07:59,720 Speaker 1: as far back as I'm gonna go or else. We 133 00:07:59,840 --> 00:08:02,760 Speaker 1: just keep on tracing all the way to the roots 134 00:08:02,760 --> 00:08:06,480 Speaker 1: of the discovery of fire. So back in nineteen one, 135 00:08:07,160 --> 00:08:11,680 Speaker 1: former attorney Roy Spear and a radio and television executive 136 00:08:11,720 --> 00:08:17,360 Speaker 1: named Lowell White Bud Paxson launched the Home Shopping Club 137 00:08:17,560 --> 00:08:21,800 Speaker 1: in Florida. Paxson had actually discovered that there was a 138 00:08:21,840 --> 00:08:24,800 Speaker 1: market for selling stuff live on television. He had ended 139 00:08:24,920 --> 00:08:30,000 Speaker 1: up with a whole bunch of avocado green can openers, 140 00:08:30,440 --> 00:08:33,280 Speaker 1: and he told one of the guys running one of 141 00:08:33,320 --> 00:08:36,880 Speaker 1: the shows that that was airing on a television network 142 00:08:36,880 --> 00:08:39,200 Speaker 1: that he owned or television station I should say that 143 00:08:39,280 --> 00:08:42,319 Speaker 1: he owned. Hey, can you try and mention these things 144 00:08:42,400 --> 00:08:43,840 Speaker 1: on the air so we can try and sell some 145 00:08:43,920 --> 00:08:45,880 Speaker 1: of them. And discovered that they were able to sell 146 00:08:45,920 --> 00:08:48,680 Speaker 1: almost two hundred in an hour, and he thought there 147 00:08:48,800 --> 00:08:50,959 Speaker 1: might be something to this. We can make this a 148 00:08:51,000 --> 00:08:54,760 Speaker 1: whole business. Now. At first this was limited to broadcasting 149 00:08:54,840 --> 00:08:57,840 Speaker 1: just in the state of Florida. But over a few 150 00:08:57,920 --> 00:09:01,160 Speaker 1: years they got bigger and bigger, and by night five, 151 00:09:01,280 --> 00:09:05,479 Speaker 1: the Home Shopping Club now known as the Home Shopping Network, 152 00:09:05,920 --> 00:09:11,920 Speaker 1: began to broadcast across the entire United States. In nineteen six, 153 00:09:12,440 --> 00:09:15,320 Speaker 1: the Home Shopping Network or hs N if you prefer, 154 00:09:15,800 --> 00:09:21,760 Speaker 1: established a subsidiary company, and that was called Silver King Broadcasting. 155 00:09:21,920 --> 00:09:25,360 Speaker 1: The purpose of this company was to secure over the 156 00:09:25,480 --> 00:09:29,920 Speaker 1: air time for the Home Shopping Network, so for places 157 00:09:29,920 --> 00:09:33,559 Speaker 1: that didn't have cable, but we're getting over the air broadcasts. 158 00:09:33,960 --> 00:09:36,319 Speaker 1: This made a lot of sense. You know, you wanted 159 00:09:36,360 --> 00:09:39,280 Speaker 1: to to target as many different markets as possible, so 160 00:09:39,480 --> 00:09:43,720 Speaker 1: the company actually started buying up television stations in order 161 00:09:43,720 --> 00:09:46,880 Speaker 1: to get more Home Shopping Network content out in front 162 00:09:46,880 --> 00:09:49,520 Speaker 1: of more viewers. And that was the birth of the 163 00:09:49,559 --> 00:09:54,600 Speaker 1: Silver King Broadcasting Company. Things get even more weird from here, 164 00:09:54,880 --> 00:09:58,080 Speaker 1: but I promise we're gonna get to tender. So in 165 00:09:58,240 --> 00:10:02,040 Speaker 1: n I remember in n six, that's when Silver King 166 00:10:02,040 --> 00:10:06,320 Speaker 1: Broadcasting comes into being in the Home Shopping Network spun 167 00:10:06,520 --> 00:10:11,400 Speaker 1: Silver King off as a separately traded public company. So 168 00:10:11,480 --> 00:10:15,600 Speaker 1: now Silver King Broadcasting is a related but separate company 169 00:10:15,640 --> 00:10:22,079 Speaker 1: all on its own in in Barry Diller, if you 170 00:10:22,120 --> 00:10:23,839 Speaker 1: don't know who Barry Diller is. At some point I 171 00:10:24,160 --> 00:10:28,040 Speaker 1: shall have to do a full profile on him. He 172 00:10:28,080 --> 00:10:32,320 Speaker 1: created the Fox Broadcasting Company, among other things. In he 173 00:10:32,360 --> 00:10:37,800 Speaker 1: bought controlling interest in Silver King Broadcasting. Then it became 174 00:10:37,960 --> 00:10:43,040 Speaker 1: silver King Communications and it merged with the Home Shopping Network. 175 00:10:43,120 --> 00:10:46,560 Speaker 1: So just three years after Home Shopping Network spends off 176 00:10:46,640 --> 00:10:50,560 Speaker 1: Silver King, Silver King and Home Shopping Network merged together. 177 00:10:51,480 --> 00:10:55,240 Speaker 1: And this new company also merged with another one, Savoy 178 00:10:55,400 --> 00:10:59,760 Speaker 1: Pictures Entertainment. And this new mega company became known as 179 00:10:59,800 --> 00:11:04,240 Speaker 1: a just In Incorporated. So Home Shopping Network Incorporated essentially. 180 00:11:05,120 --> 00:11:09,720 Speaker 1: But then HSN Incorporated got hungry. It went on a 181 00:11:09,880 --> 00:11:14,240 Speaker 1: buying frenzy. It started acquiring companies left and right, which 182 00:11:14,920 --> 00:11:17,600 Speaker 1: when you think about it, seems only appropriate for the 183 00:11:17,640 --> 00:11:21,000 Speaker 1: Home Shopping Network. Now. The shopping they did was on 184 00:11:21,160 --> 00:11:25,600 Speaker 1: the huge scale. They bought Ticketmaster, They bought the TV 185 00:11:25,760 --> 00:11:29,679 Speaker 1: assets of Universal Studios, including USA Networks and the Sci 186 00:11:29,720 --> 00:11:33,640 Speaker 1: Fi Channel that was before it became Siffy, and also 187 00:11:33,720 --> 00:11:36,840 Speaker 1: Match dot Com and Match dot Com would end up 188 00:11:36,840 --> 00:11:39,600 Speaker 1: being a really important acquisition for them. They were already 189 00:11:39,600 --> 00:11:44,840 Speaker 1: looking at ways to go beyond television and radio. At 190 00:11:44,920 --> 00:11:49,800 Speaker 1: that point, the company changed its name to USA Networks Incorporated. Now, 191 00:11:49,800 --> 00:11:53,040 Speaker 1: in the two thousand's USA Networks Incorporated began to sell 192 00:11:53,160 --> 00:11:56,240 Speaker 1: off some of its television companies and production units. It 193 00:11:56,320 --> 00:12:01,079 Speaker 1: also began to acquire more online companies, including big ones 194 00:12:01,120 --> 00:12:05,920 Speaker 1: like Expedia, and it changed names again to USA Interactive 195 00:12:06,040 --> 00:12:09,320 Speaker 1: in two thousand two to reflect the fact that now 196 00:12:09,360 --> 00:12:12,120 Speaker 1: it was looking at more internet and technology companies and 197 00:12:12,200 --> 00:12:15,680 Speaker 1: less at television. Then in two thousand three had changed 198 00:12:15,720 --> 00:12:20,440 Speaker 1: its name again, finally becoming Interactive Corps, and in two 199 00:12:20,480 --> 00:12:24,199 Speaker 1: thousand four four it became I a C. Slash Interactive Corp. 200 00:12:24,760 --> 00:12:28,760 Speaker 1: So I a C continue grabbing up companies and spawning 201 00:12:28,800 --> 00:12:31,320 Speaker 1: new brands as well. Some of the other companies that 202 00:12:31,360 --> 00:12:36,200 Speaker 1: they acquired included stuff like lending Tree. Trip Advisor asked 203 00:12:36,280 --> 00:12:42,480 Speaker 1: Jeeves Urban Spoon. Really, if you had a burgeoning internet company, 204 00:12:42,720 --> 00:12:46,640 Speaker 1: you were in good shape because someone somewhere is looking 205 00:12:46,640 --> 00:12:49,520 Speaker 1: to scoop you up, whether it was a company like 206 00:12:49,600 --> 00:12:53,559 Speaker 1: Amazon or something like I a C. You had if 207 00:12:53,559 --> 00:12:55,680 Speaker 1: you had a good idea, you just had to wait 208 00:12:55,720 --> 00:12:57,600 Speaker 1: around long enough to get scooped up. That's why a 209 00:12:57,600 --> 00:13:02,400 Speaker 1: lot of these companies that are um the startups, they 210 00:13:02,400 --> 00:13:04,720 Speaker 1: don't worry so much if they don't have a way 211 00:13:04,760 --> 00:13:08,240 Speaker 1: of generating revenue, because if they can demonstrate that they 212 00:13:08,320 --> 00:13:11,600 Speaker 1: are interesting enough, some other bigger company will come and 213 00:13:11,640 --> 00:13:13,480 Speaker 1: buy them, and then they don't have to worry about 214 00:13:13,480 --> 00:13:16,079 Speaker 1: how to generate revenue. That's the bigger company's problem now, 215 00:13:16,320 --> 00:13:20,800 Speaker 1: and everyone who made that stuff has become a millionaire. Man, 216 00:13:20,880 --> 00:13:23,800 Speaker 1: I'm in the wrong business at any rate. The company 217 00:13:23,840 --> 00:13:26,359 Speaker 1: I a C. Eventually spun off some of these properties, 218 00:13:27,000 --> 00:13:32,440 Speaker 1: including spinning off the Home Shopping Network. So once again, 219 00:13:32,520 --> 00:13:36,360 Speaker 1: Home Shopping Network creates Silver King Broadcasting. Silver King Broadcasting 220 00:13:36,440 --> 00:13:39,800 Speaker 1: merges with Home Shopping Network. Then I a C, which 221 00:13:39,840 --> 00:13:43,000 Speaker 1: grew out of Silver King Broadcasting, spins off Home Shopping Network. 222 00:13:43,040 --> 00:13:46,280 Speaker 1: This is a weird story. They also spun off Ticketmaster 223 00:13:46,400 --> 00:13:49,800 Speaker 1: around that same time, and in two thousand eleven, I 224 00:13:49,920 --> 00:13:54,360 Speaker 1: a C created a startup incubator called hatch Labs. So 225 00:13:54,440 --> 00:13:58,040 Speaker 1: this is a lot like Google's x Labs, the branch 226 00:13:58,120 --> 00:14:00,880 Speaker 1: of Google that's all about research, ch in development and 227 00:14:01,000 --> 00:14:05,080 Speaker 1: rapid prototyping of various products and services, all about let's 228 00:14:05,120 --> 00:14:10,160 Speaker 1: let's look at big risk, big reward type stuff. Um, 229 00:14:10,200 --> 00:14:12,480 Speaker 1: where can we come up with the next awesome idea 230 00:14:12,600 --> 00:14:15,040 Speaker 1: in house rather than having to go out and buy 231 00:14:15,080 --> 00:14:16,800 Speaker 1: it all the time, not that they were going to 232 00:14:16,880 --> 00:14:19,360 Speaker 1: stop buying stuff, but this way they could also develop 233 00:14:19,440 --> 00:14:23,560 Speaker 1: it within the company. Now, hatch Labs allows people to 234 00:14:23,600 --> 00:14:27,000 Speaker 1: develop and test ideas for new products and services and companies. 235 00:14:27,360 --> 00:14:29,520 Speaker 1: And because I a c. Owns it, it gives I 236 00:14:29,640 --> 00:14:32,760 Speaker 1: a C. A large stake in anything that comes out 237 00:14:32,880 --> 00:14:36,520 Speaker 1: of hatch Labs. We'll be back with more tender loving 238 00:14:36,600 --> 00:14:51,000 Speaker 1: care after these brief messages. So this is the company 239 00:14:51,200 --> 00:14:54,080 Speaker 1: as hatch Labs is the organization that served as the 240 00:14:54,160 --> 00:14:58,280 Speaker 1: incubator for Tinder. So it wasn't that Tinder sprung up 241 00:14:58,360 --> 00:15:01,880 Speaker 1: due to pure pluck an enthusiasm and had actually an 242 00:15:02,040 --> 00:15:06,320 Speaker 1: enormous corporation behind it when they had a long history 243 00:15:06,360 --> 00:15:09,320 Speaker 1: in online dating services because they had own match dot 244 00:15:09,320 --> 00:15:12,440 Speaker 1: Com and okay Cupid for so long. But that's not 245 00:15:12,520 --> 00:15:15,120 Speaker 1: the story you often hear when people talk about Tinder. 246 00:15:15,160 --> 00:15:17,240 Speaker 1: It sounds like it's a much more kind of grassroots 247 00:15:17,240 --> 00:15:20,040 Speaker 1: sort of thing. That's not exactly the case. But none 248 00:15:20,080 --> 00:15:22,600 Speaker 1: of that is to take away from the innovation and 249 00:15:22,640 --> 00:15:25,440 Speaker 1: the clever positioning of Tinder. By the way, it's a 250 00:15:25,440 --> 00:15:29,240 Speaker 1: product that people like and it does exactly what it's 251 00:15:29,360 --> 00:15:32,800 Speaker 1: supposed to do. It's just not a little plucky startup 252 00:15:32,840 --> 00:15:35,720 Speaker 1: the way some people imagine it to be. In fact, 253 00:15:35,960 --> 00:15:40,440 Speaker 1: venture capitalists have been denied investment opportunities in Tender because 254 00:15:40,520 --> 00:15:43,160 Speaker 1: I A. C. S. Steak in Tender is so great 255 00:15:43,240 --> 00:15:46,800 Speaker 1: that they don't want anyone else coming in and getting 256 00:15:46,840 --> 00:15:50,280 Speaker 1: any sort of majority share in this. And this is 257 00:15:50,320 --> 00:15:53,000 Speaker 1: not a Tinder itself. It's not a publicly traded company, 258 00:15:53,000 --> 00:15:58,760 Speaker 1: although it does act as its own entity. So anyway, 259 00:15:58,840 --> 00:16:01,600 Speaker 1: Sean Rad was working for hatch Labs and he was 260 00:16:01,640 --> 00:16:05,800 Speaker 1: developing ideas. He was working on a product called cardify UM, 261 00:16:06,360 --> 00:16:10,040 Speaker 1: but he also had an idea kind of fermenting in 262 00:16:10,080 --> 00:16:15,000 Speaker 1: his mind about a location based dating app, and he 263 00:16:15,360 --> 00:16:18,960 Speaker 1: originally started calling it Matchbox. This was not one of 264 00:16:19,000 --> 00:16:21,600 Speaker 1: his formal projects, and in fact he didn't really begin 265 00:16:21,720 --> 00:16:25,640 Speaker 1: working on it in earnest until hatch Labs held a hackathon. 266 00:16:26,200 --> 00:16:28,560 Speaker 1: This was not actually that long after shan Rad had 267 00:16:28,680 --> 00:16:32,320 Speaker 1: joined hatch Labs. He had joined as a general manager UM. 268 00:16:32,560 --> 00:16:36,440 Speaker 1: So the hackathon was an event in which employees could 269 00:16:36,440 --> 00:16:40,680 Speaker 1: prototype new ideas rather than work on their regular projects, 270 00:16:40,720 --> 00:16:43,440 Speaker 1: and it lasted a few days, so it gave you 271 00:16:43,480 --> 00:16:45,800 Speaker 1: a chance if you had an idea to develop that 272 00:16:45,880 --> 00:16:48,240 Speaker 1: idea and pitch your idea to the company and say 273 00:16:48,240 --> 00:16:50,840 Speaker 1: this is something I think we should do. Uh. And 274 00:16:50,920 --> 00:16:53,840 Speaker 1: it gave you the freedom to do that and take 275 00:16:53,880 --> 00:16:56,960 Speaker 1: your workload, your regular workload, off of your shoulders while 276 00:16:56,960 --> 00:17:00,400 Speaker 1: you're prototyping. So Rad worked on Matchbox that one of 277 00:17:00,440 --> 00:17:02,960 Speaker 1: these hackathons and then switched back to his normal work 278 00:17:03,040 --> 00:17:07,240 Speaker 1: duties trying to get Cartify off the ground. But Cardify 279 00:17:07,520 --> 00:17:12,159 Speaker 1: was met with some resistance from iTunes. They were delaying 280 00:17:12,680 --> 00:17:16,000 Speaker 1: putting it into the iTunes Store. And this has happened 281 00:17:16,040 --> 00:17:18,560 Speaker 1: quite a few times with lots of different apps across 282 00:17:18,680 --> 00:17:21,520 Speaker 1: lots of different you know, types of apps, whether it's 283 00:17:21,520 --> 00:17:26,520 Speaker 1: a game or a service or whatever. Sometimes Apple wants 284 00:17:26,640 --> 00:17:32,120 Speaker 1: changes or has objections. Sometimes they don't really give you 285 00:17:32,200 --> 00:17:35,000 Speaker 1: necessarily the best feedback for you to figure out how 286 00:17:35,040 --> 00:17:38,000 Speaker 1: to adjust your products so that it can be featured 287 00:17:38,000 --> 00:17:42,280 Speaker 1: in the iTunes Store. And because the way iOS works, 288 00:17:42,720 --> 00:17:46,520 Speaker 1: if you have a regular, un jailbroken, you know phone, 289 00:17:47,320 --> 00:17:50,720 Speaker 1: you pretty much are stuck with whatever's in the iOS store. 290 00:17:50,760 --> 00:17:56,520 Speaker 1: You can't sideload any apps without doing something pretty drastic 291 00:17:56,560 --> 00:17:58,760 Speaker 1: to your phone, at least drastic in the eyes of 292 00:17:58,800 --> 00:18:01,479 Speaker 1: your average phone user. I'm sure a lot of you 293 00:18:01,480 --> 00:18:04,720 Speaker 1: guys out there and tech stuff land have phones that 294 00:18:04,840 --> 00:18:09,080 Speaker 1: you have freed from the shackles of manufacturers and carriers, 295 00:18:09,359 --> 00:18:11,040 Speaker 1: and you can load whatever you want on it. But 296 00:18:11,119 --> 00:18:14,760 Speaker 1: for the average consumer that's not the case. So that 297 00:18:14,800 --> 00:18:18,199 Speaker 1: puts people who create apps in a difficult situation. The 298 00:18:18,200 --> 00:18:20,840 Speaker 1: place where you want to be is on iOS because 299 00:18:20,960 --> 00:18:24,080 Speaker 1: so many people are you're using iPhones. Even though Android 300 00:18:24,080 --> 00:18:28,160 Speaker 1: has a greater market share, it's also more i would say, dilute. 301 00:18:28,280 --> 00:18:32,159 Speaker 1: It's harder to get noticed um, whereas Apple, like the 302 00:18:32,440 --> 00:18:36,160 Speaker 1: people who have iPhones are I would I would think, 303 00:18:36,280 --> 00:18:40,159 Speaker 1: based upon the studies I've seen, are more likely to 304 00:18:40,240 --> 00:18:43,919 Speaker 1: adopt your app and pay for it than the Google 305 00:18:44,000 --> 00:18:47,480 Speaker 1: site is. In general. Obviously, case by case it could 306 00:18:47,520 --> 00:18:52,760 Speaker 1: be very different. So because of this delay, that gave 307 00:18:53,840 --> 00:18:58,240 Speaker 1: Rad the opportunity to switch back over to Matchbox to 308 00:18:58,240 --> 00:19:00,880 Speaker 1: to work on that again, and it got a big 309 00:19:00,880 --> 00:19:03,040 Speaker 1: push to move into production. And the one of the 310 00:19:03,080 --> 00:19:06,320 Speaker 1: earliest things they did was they changed the name. I A. C. 311 00:19:06,520 --> 00:19:09,640 Speaker 1: Didn't want the app to be so closely associated associated 312 00:19:09,680 --> 00:19:12,240 Speaker 1: with match dot com. They wanted it to have its 313 00:19:12,280 --> 00:19:15,200 Speaker 1: own identity and not be confused with Match dot Com. 314 00:19:15,200 --> 00:19:18,760 Speaker 1: They didn't want people to think that Matchbox was Match 315 00:19:18,840 --> 00:19:22,120 Speaker 1: dot Com in app form, so they changed the name 316 00:19:22,160 --> 00:19:26,560 Speaker 1: to Tender. Now, Justin Matine came up with the idea 317 00:19:26,640 --> 00:19:30,080 Speaker 1: to test Tender at a college campus. This is not 318 00:19:30,240 --> 00:19:33,479 Speaker 1: that different from how Facebook got its start when it 319 00:19:33,520 --> 00:19:37,520 Speaker 1: first began, and actually, if you remember your Facebook history, 320 00:19:37,680 --> 00:19:41,200 Speaker 1: Facebook essentially started out as a way for college students 321 00:19:41,240 --> 00:19:44,359 Speaker 1: to find like minded folks in order or to you know, 322 00:19:44,400 --> 00:19:48,520 Speaker 1: to go find date or socializing. It wasn't just to 323 00:19:48,640 --> 00:19:50,879 Speaker 1: keep in touch with the people, you know. It was 324 00:19:50,920 --> 00:19:53,719 Speaker 1: also meant as a way to meet new people. So 325 00:19:53,800 --> 00:19:56,879 Speaker 1: this is very much in that same vein. So the 326 00:19:56,880 --> 00:20:00,359 Speaker 1: two colleges they picked were h the University of Southern 327 00:20:00,400 --> 00:20:04,520 Speaker 1: California and u C l A. And as I said earlier, 328 00:20:04,560 --> 00:20:08,320 Speaker 1: the popularity of the app skyrocketed pretty quickly, going from 329 00:20:08,320 --> 00:20:10,760 Speaker 1: three hundred to a thousand users within a week and 330 00:20:10,800 --> 00:20:14,520 Speaker 1: then just growing from there. Now my team would become 331 00:20:14,560 --> 00:20:18,000 Speaker 1: the chief marketing officer for Tinder, but he stepped down 332 00:20:18,040 --> 00:20:20,760 Speaker 1: in September two thousand fourteen in the wake of a 333 00:20:20,800 --> 00:20:25,040 Speaker 1: sexual harassment lawsuit which was leveled by Tender vice president 334 00:20:25,040 --> 00:20:30,400 Speaker 1: of marketing and uh at least sometimes credited co founder 335 00:20:30,400 --> 00:20:35,240 Speaker 1: Whitney Wolf. I say sometimes credited because that whole story 336 00:20:35,480 --> 00:20:40,560 Speaker 1: is incredibly complicated. There are people who protest her being 337 00:20:40,600 --> 00:20:43,919 Speaker 1: called a co founder, although she was allowed to, you know, 338 00:20:43,960 --> 00:20:46,600 Speaker 1: she was given the blessing by Shaan Rad to call 339 00:20:46,680 --> 00:20:49,640 Speaker 1: herself co founder at least on a few occasions. There's 340 00:20:49,680 --> 00:20:51,719 Speaker 1: some people who say that she was not really a 341 00:20:51,720 --> 00:20:55,520 Speaker 1: co founder, but she certainly was there from the earliest days. Um. 342 00:20:55,560 --> 00:20:57,520 Speaker 1: And there are other people who say, no, it's perfectly 343 00:20:57,800 --> 00:21:00,600 Speaker 1: legitimate for her to call herself a co founder. Uh. 344 00:21:00,640 --> 00:21:05,800 Speaker 1: It's a really complicated issue, and it gets even more complex. 345 00:21:05,800 --> 00:21:10,840 Speaker 1: Wolf had either resigned from Tinder or been forced from Tinder, 346 00:21:11,520 --> 00:21:15,800 Speaker 1: depending upon whose account you listen to, and so she 347 00:21:16,200 --> 00:21:21,040 Speaker 1: leveled this lawsuit against Tender and Matine specifically to say 348 00:21:21,040 --> 00:21:23,840 Speaker 1: that she had been sexually harassed and that that harassment 349 00:21:23,920 --> 00:21:27,560 Speaker 1: had led to her leaving the company, whether she was 350 00:21:27,600 --> 00:21:31,120 Speaker 1: forced out or resigned or whatever. And she presented as 351 00:21:31,160 --> 00:21:35,359 Speaker 1: evidence in this lawsuit some pretty nasty text messages from Matine, 352 00:21:35,440 --> 00:21:40,040 Speaker 1: I mean really vile stuff. And tech Crunch actually ran 353 00:21:40,080 --> 00:21:42,200 Speaker 1: a really long piece that I recommend if you want 354 00:21:42,200 --> 00:21:45,200 Speaker 1: to hear more about this story. They ran a long 355 00:21:45,240 --> 00:21:48,160 Speaker 1: piece about the lawsuit, and it gets really complicated because 356 00:21:48,680 --> 00:21:52,000 Speaker 1: people obviously could not talk about this openly. It was 357 00:21:52,040 --> 00:21:56,280 Speaker 1: all an ongoing lawsuit at the time, but ultimately Mateine 358 00:21:56,480 --> 00:21:59,480 Speaker 1: left the company as well. Uh He and Sean rad 359 00:21:59,560 --> 00:22:02,640 Speaker 1: remained those friends. They had been best friends for years 360 00:22:02,720 --> 00:22:06,240 Speaker 1: before Tinder, so they remained friends. Wolf would go on 361 00:22:06,280 --> 00:22:09,960 Speaker 1: to found a Bumble, which is another dating app, and 362 00:22:10,000 --> 00:22:12,359 Speaker 1: the lawsuit itself was settled out of court for an 363 00:22:12,440 --> 00:22:18,520 Speaker 1: undisclosed sum. Now, since its launched, Tender's popularity had become insane, 364 00:22:18,680 --> 00:22:21,080 Speaker 1: so within two years by two thousand the end of 365 00:22:21,080 --> 00:22:23,760 Speaker 1: two thousand fourteen, in other words, the app had been 366 00:22:23,800 --> 00:22:28,399 Speaker 1: downloaded forty million times, showing a six percent growth in 367 00:22:28,440 --> 00:22:31,560 Speaker 1: two thousand fourteen alone, and that there had been more 368 00:22:31,640 --> 00:22:36,120 Speaker 1: than one billion profiles checked out every day by two 369 00:22:36,160 --> 00:22:39,360 Speaker 1: thousand fourteen. That means people are swiping left or right 370 00:22:39,400 --> 00:22:42,479 Speaker 1: more than a billion times a day. Actually, I think 371 00:22:42,520 --> 00:22:45,719 Speaker 1: it's close to one point two billion. That means that's 372 00:22:45,760 --> 00:22:49,480 Speaker 1: about fourteen thousand profiles per second that are being looked 373 00:22:49,520 --> 00:22:53,440 Speaker 1: at and judged. Those billion swipes would lead to about 374 00:22:53,440 --> 00:22:58,600 Speaker 1: fourteen million matches per day. Per every twenty four hours. 375 00:22:58,680 --> 00:23:02,160 Speaker 1: So you know, one billion, one point two billion profile 376 00:23:02,280 --> 00:23:06,399 Speaker 1: views and fourteen million matches. That's a the pretty small percentage, 377 00:23:06,440 --> 00:23:10,000 Speaker 1: but still fourteen million, that's a lot of people meeting 378 00:23:10,560 --> 00:23:15,920 Speaker 1: somebody through this this app, So it's pretty interesting. Now. 379 00:23:15,960 --> 00:23:20,480 Speaker 1: Sean Rad became the CEO of Tinder, and that was 380 00:23:20,520 --> 00:23:22,879 Speaker 1: still when it was still under the umbrella of I 381 00:23:23,000 --> 00:23:25,879 Speaker 1: A C. But he's the CEO, But in two thousand 382 00:23:25,880 --> 00:23:28,879 Speaker 1: and fourteen he was removed from that position by I 383 00:23:29,080 --> 00:23:32,639 Speaker 1: a C. S Sam Yeagan. Sam Yagan was sort of 384 00:23:32,640 --> 00:23:35,480 Speaker 1: in charge of all the digital dating stuff over at 385 00:23:35,520 --> 00:23:38,639 Speaker 1: I a C. And it became it was something of 386 00:23:38,680 --> 00:23:42,240 Speaker 1: a shock to Rad. I think it was partly as 387 00:23:42,880 --> 00:23:46,920 Speaker 1: a response to the fallout with the sexual harassment lawsuit. 388 00:23:47,680 --> 00:23:53,359 Speaker 1: So Yeagan then removes Rad and Rad ends up transitioning 389 00:23:53,359 --> 00:23:55,760 Speaker 1: into the role of president and member of the board. 390 00:23:56,880 --> 00:24:01,080 Speaker 1: The I A C would bring on Christopher Payne, who 391 00:24:01,080 --> 00:24:04,040 Speaker 1: had worked as an executive over at eBay, to take 392 00:24:04,119 --> 00:24:08,240 Speaker 1: over as CEO, but in March two thousand fifteen, Pain 393 00:24:08,320 --> 00:24:11,000 Speaker 1: would step aside. Both Pain and I A sa C 394 00:24:11,240 --> 00:24:14,000 Speaker 1: would say that this was not a good fit, that 395 00:24:14,160 --> 00:24:16,120 Speaker 1: it was not a good long term fit. For him 396 00:24:16,160 --> 00:24:20,160 Speaker 1: as CEO, so who replaced Christopher Paine to take over 397 00:24:20,200 --> 00:24:23,960 Speaker 1: the role of CEO of Tinder Sean Rad So. Sean 398 00:24:24,040 --> 00:24:27,880 Speaker 1: rad returns to CEO duties in March two thousand fift 399 00:24:28,960 --> 00:24:34,320 Speaker 1: Uh not. First, we're moving away from the stuff going 400 00:24:34,359 --> 00:24:37,520 Speaker 1: on at the top levels and the executive side of Tender. 401 00:24:38,320 --> 00:24:40,680 Speaker 1: Let's look at their business model. At first, there were 402 00:24:40,680 --> 00:24:45,920 Speaker 1: no pathways to generate revenue directly from Tinder. The original 403 00:24:45,960 --> 00:24:49,040 Speaker 1: app was free to download, it was free to use. 404 00:24:49,200 --> 00:24:53,399 Speaker 1: You could swipe an unlimited number of times per day. Really, 405 00:24:53,440 --> 00:24:56,480 Speaker 1: you're only limited by how many other Tinder users were 406 00:24:56,480 --> 00:24:59,520 Speaker 1: in your general area. I a c. Seemed to view 407 00:24:59,560 --> 00:25:02,560 Speaker 1: Tender as a gateway to other services like match dot 408 00:25:02,560 --> 00:25:06,600 Speaker 1: com and match dot com is monetized, so in other words, 409 00:25:07,040 --> 00:25:09,960 Speaker 1: they looked at Tender as being kind of a gateway 410 00:25:10,119 --> 00:25:13,720 Speaker 1: and you could actually end up using some of the 411 00:25:13,960 --> 00:25:17,960 Speaker 1: more robust services online which you would pay for, and 412 00:25:18,040 --> 00:25:20,160 Speaker 1: Tender was fine. It could be, it could be free, 413 00:25:20,200 --> 00:25:22,640 Speaker 1: and that kind of answers the question of well, how 414 00:25:22,680 --> 00:25:25,600 Speaker 1: does Tender make its money. It's because it's part of 415 00:25:25,640 --> 00:25:30,720 Speaker 1: this massive company. It's not a tiny little startup that's 416 00:25:30,800 --> 00:25:33,879 Speaker 1: operating all on its own it has these big corporate 417 00:25:34,320 --> 00:25:38,920 Speaker 1: boots behind it, so they were they had plenty of 418 00:25:38,920 --> 00:25:43,280 Speaker 1: of operating money to work with and UH. Everyone over 419 00:25:43,320 --> 00:25:46,639 Speaker 1: at I a C. Seemed really impressed by Tender's growth. 420 00:25:46,640 --> 00:25:49,640 Speaker 1: It was clear that it was really popular, so they 421 00:25:49,720 --> 00:25:53,080 Speaker 1: felt that it was worthy of support. In two thousand 422 00:25:53,119 --> 00:25:56,440 Speaker 1: and fourteen, there were rumblings that Tender would finally start 423 00:25:56,480 --> 00:25:59,360 Speaker 1: experimenting with a couple of different ways to generate revenue 424 00:26:00,040 --> 00:26:02,520 Speaker 1: and back at that time, there were lots of different 425 00:26:02,560 --> 00:26:06,919 Speaker 1: options being discussed, including showing ads to people UH and 426 00:26:07,000 --> 00:26:10,520 Speaker 1: also starting up a premium service. In the spring of 427 00:26:10,520 --> 00:26:15,480 Speaker 1: two thousand fifteen, Tender launched a premium service called Tinder Plus, 428 00:26:15,640 --> 00:26:20,280 Speaker 1: and that ruffled some Tinder users feathers because they they 429 00:26:20,320 --> 00:26:23,119 Speaker 1: made the claim that the way they that Tender created 430 00:26:23,119 --> 00:26:26,639 Speaker 1: a premium service was to take features away from the 431 00:26:26,680 --> 00:26:29,840 Speaker 1: free service and then make them pay only. So, in 432 00:26:29,840 --> 00:26:33,200 Speaker 1: other words, instead of creating a better app that has 433 00:26:33,240 --> 00:26:37,199 Speaker 1: a better experience, they created an app that had some 434 00:26:37,320 --> 00:26:41,520 Speaker 1: of the features native to the free app but now 435 00:26:41,600 --> 00:26:46,200 Speaker 1: had been turned off. For example, unlimited swiping, that's the 436 00:26:46,240 --> 00:26:49,639 Speaker 1: most obvious one. So the premium service was said to 437 00:26:49,680 --> 00:26:53,400 Speaker 1: have an unlimited number of swipes, which immediately set off 438 00:26:53,400 --> 00:26:56,000 Speaker 1: alarms and said the free version would then be limited. 439 00:26:56,280 --> 00:26:58,640 Speaker 1: And this is pretty complicated. You might say, well, how 440 00:26:58,640 --> 00:27:01,360 Speaker 1: many swipes do I get per day? Then like, can 441 00:27:01,400 --> 00:27:05,240 Speaker 1: I bank them? Can I roll them over? Well, you 442 00:27:05,280 --> 00:27:08,280 Speaker 1: can roll them over. How many you get per day, however, 443 00:27:08,480 --> 00:27:12,920 Speaker 1: is a little a little tricky. That limitation isn't even 444 00:27:13,000 --> 00:27:16,120 Speaker 1: across all tender users. It may be that you discover 445 00:27:16,680 --> 00:27:20,400 Speaker 1: your friend has way more swipes available than you do, 446 00:27:20,960 --> 00:27:23,720 Speaker 1: and even if you have, even if both of you 447 00:27:23,800 --> 00:27:28,160 Speaker 1: haven't rolled over any swipes. It's because this is based 448 00:27:28,160 --> 00:27:30,639 Speaker 1: on an algorithm and it can actually be tuned to 449 00:27:30,760 --> 00:27:35,040 Speaker 1: individual levels. So personally, if I were the one in charge, 450 00:27:35,440 --> 00:27:39,320 Speaker 1: I'd be truly evil. I'd be I'd be a terrible, 451 00:27:39,480 --> 00:27:41,960 Speaker 1: terrible person, and you would all hate me. But I 452 00:27:41,960 --> 00:27:44,600 Speaker 1: would be making so much money because what I would 453 00:27:44,680 --> 00:27:48,160 Speaker 1: do is I would look at how many swipes each 454 00:27:48,240 --> 00:27:51,959 Speaker 1: individual tender user typically uses in a session, so and 455 00:27:52,280 --> 00:27:55,000 Speaker 1: you can pull up that data and just actually make 456 00:27:55,040 --> 00:27:57,639 Speaker 1: this all automated. And then what I would do is 457 00:27:57,640 --> 00:28:00,399 Speaker 1: I would subtract that number by two and set that 458 00:28:00,440 --> 00:28:03,800 Speaker 1: as the limit. So let's say that in your average 459 00:28:03,800 --> 00:28:07,520 Speaker 1: session you look at fifty profiles. I would set the 460 00:28:07,760 --> 00:28:11,040 Speaker 1: your limit to forty eight because then I know that 461 00:28:11,160 --> 00:28:13,920 Speaker 1: eventually you're going to hit that limit, and then you're 462 00:28:13,960 --> 00:28:17,879 Speaker 1: going to eventually not want to hit that limit, and 463 00:28:18,040 --> 00:28:22,360 Speaker 1: you'll be given an incentive to go with the premium 464 00:28:22,400 --> 00:28:25,240 Speaker 1: service or you'll stop using it. But either way, if 465 00:28:25,240 --> 00:28:28,000 Speaker 1: it's a free app, I'm not losing any money if 466 00:28:28,000 --> 00:28:31,680 Speaker 1: you go away. I only gain money if you subscribe. 467 00:28:32,160 --> 00:28:34,359 Speaker 1: So that's how evil I would be if I were 468 00:28:34,400 --> 00:28:37,760 Speaker 1: in charge. I don't know what they did, That's just 469 00:28:37,840 --> 00:28:41,240 Speaker 1: what I would do. This is why I don't can 470 00:28:41,640 --> 00:28:43,200 Speaker 1: and this is why people don't put me in charge 471 00:28:43,200 --> 00:28:45,960 Speaker 1: of things. I guess. Another thing that got some people 472 00:28:46,000 --> 00:28:49,480 Speaker 1: talking about was that Tender Plus didn't cost the same 473 00:28:49,520 --> 00:28:54,560 Speaker 1: amount for all users. If you are under thirty years old, 474 00:28:54,760 --> 00:28:59,040 Speaker 1: the cost is nine dollars and cents per month. If 475 00:28:59,080 --> 00:29:02,600 Speaker 1: you are thirty years old or older, the cost is 476 00:29:02,720 --> 00:29:07,400 Speaker 1: nineteen dollars and ninety nine cents per month. So we 477 00:29:07,600 --> 00:29:10,640 Speaker 1: old folks are paying twice as much as you young 478 00:29:10,680 --> 00:29:13,600 Speaker 1: whipper snappers in order to try and find Mr or 479 00:29:13,720 --> 00:29:18,000 Speaker 1: Mrs Wright. So we see, yet again the cost of 480 00:29:18,160 --> 00:29:20,800 Speaker 1: growing old. I got a little bit more to say 481 00:29:20,840 --> 00:29:23,440 Speaker 1: about Tinder, but before we do that, let's take this 482 00:29:23,520 --> 00:29:36,040 Speaker 1: quick break. Now. Tender statement on the pricing was, and 483 00:29:36,080 --> 00:29:41,280 Speaker 1: this is a direct quote from a Tender executive. We've 484 00:29:41,360 --> 00:29:45,640 Speaker 1: priced Tinder Plus based on a combination of factors, including 485 00:29:45,640 --> 00:29:48,400 Speaker 1: what we've learned through our testing, and we've found that 486 00:29:48,480 --> 00:29:51,560 Speaker 1: these price points were adopted very well by certain age 487 00:29:51,600 --> 00:29:55,960 Speaker 1: demographics end quote. In other words, they discovered that young 488 00:29:56,000 --> 00:29:59,560 Speaker 1: folks aren't as willing to pay as much per month 489 00:29:59,680 --> 00:30:02,560 Speaker 1: for this service, or they're not as able to because 490 00:30:02,600 --> 00:30:07,080 Speaker 1: they don't have as much income, and older folks desperate 491 00:30:07,280 --> 00:30:13,320 Speaker 1: for some companionship after a lifetime of solitary disappointment would 492 00:30:13,320 --> 00:30:16,280 Speaker 1: be more than willing to cough up the dough. I 493 00:30:16,360 --> 00:30:19,480 Speaker 1: might be over dramaticizing this a little bit, but to 494 00:30:19,520 --> 00:30:23,000 Speaker 1: be fair, I've had a lot of caffeine today. So 495 00:30:23,800 --> 00:30:28,600 Speaker 1: other features in Tender Plus include a rewind feature, which 496 00:30:28,680 --> 00:30:32,160 Speaker 1: lets you undo a swipe left should you get distracted 497 00:30:32,160 --> 00:30:34,720 Speaker 1: and dismiss a profile that could have been the perfect match. 498 00:30:35,280 --> 00:30:38,240 Speaker 1: So let's say you are pulling up Tender and you're 499 00:30:38,280 --> 00:30:42,560 Speaker 1: looking through and you see someone who is incredibly attractive 500 00:30:42,600 --> 00:30:45,560 Speaker 1: to you. Their look is just really appealing, they seem 501 00:30:45,600 --> 00:30:49,200 Speaker 1: to be engaged in activities that you think are really fun. 502 00:30:49,640 --> 00:30:53,720 Speaker 1: Maybe you know it's a shot of a person uh 503 00:30:53,800 --> 00:30:55,960 Speaker 1: sledding down a hill and they're just got a big 504 00:30:56,000 --> 00:30:58,440 Speaker 1: smile on their face, and it's something that really as 505 00:30:58,480 --> 00:31:01,120 Speaker 1: someone that you know, you love the snow, you love 506 00:31:01,200 --> 00:31:03,960 Speaker 1: having fun, you really want to connect with this person. 507 00:31:04,400 --> 00:31:06,600 Speaker 1: And so you put your finger on the screen and 508 00:31:06,640 --> 00:31:09,240 Speaker 1: you get distracted and you accidentally swipe left, and you 509 00:31:09,320 --> 00:31:15,280 Speaker 1: have doomed yourself. You are now alone. Well, if you 510 00:31:15,720 --> 00:31:18,960 Speaker 1: were to subscribe to the Tinder Plus service, you would 511 00:31:18,960 --> 00:31:21,920 Speaker 1: have an undo button and you could press undo and 512 00:31:21,960 --> 00:31:25,120 Speaker 1: then it would undo your last swipe left, So that 513 00:31:25,160 --> 00:31:28,640 Speaker 1: way you could actually swipe right instead. So if you 514 00:31:28,720 --> 00:31:31,000 Speaker 1: had been going through very quickly, because that you can 515 00:31:31,120 --> 00:31:33,840 Speaker 1: start doing this, I mean the the Tinder app. A 516 00:31:33,840 --> 00:31:36,440 Speaker 1: lot of people talk about feeling a lot like a game, 517 00:31:36,920 --> 00:31:39,120 Speaker 1: Like you're it's almost like the whole the old Hot 518 00:31:39,200 --> 00:31:42,640 Speaker 1: or Not website where you would just you know, you're 519 00:31:42,760 --> 00:31:45,600 Speaker 1: judging people on their looks. And it may be that 520 00:31:45,720 --> 00:31:48,560 Speaker 1: you know you're you're going through a list of people 521 00:31:49,080 --> 00:31:51,280 Speaker 1: that don't do anything for you, So you're swiping left, 522 00:31:51,320 --> 00:31:53,520 Speaker 1: swiping left, swiping left, and then you realize, oh, that 523 00:31:53,600 --> 00:31:56,040 Speaker 1: last person I actually kind of thought looked attractive and 524 00:31:56,040 --> 00:31:59,520 Speaker 1: I swiped left. This would let you undo that now. 525 00:31:59,640 --> 00:32:01,760 Speaker 1: Of worse, keep in mind, this is all still based 526 00:32:01,840 --> 00:32:05,240 Speaker 1: upon how attractive you find someone initially, how physically attractive 527 00:32:05,280 --> 00:32:08,640 Speaker 1: you think they are. It's not guaranteed to actually lead 528 00:32:08,640 --> 00:32:12,080 Speaker 1: to anything fun or meaningful. If you undo and then 529 00:32:12,120 --> 00:32:14,920 Speaker 1: swipe right. It may very well be that you undo 530 00:32:14,960 --> 00:32:17,880 Speaker 1: and swipe right and the person that you swipe right 531 00:32:17,960 --> 00:32:20,920 Speaker 1: on either never sees your profile or swipes left on it. 532 00:32:21,080 --> 00:32:23,040 Speaker 1: There's no guarantee it's going to lead anywhere, but at 533 00:32:23,080 --> 00:32:27,840 Speaker 1: least it means you haven't completely negated something that could 534 00:32:27,840 --> 00:32:32,480 Speaker 1: have been a potential match. Okay, So Tinder Plus also 535 00:32:32,520 --> 00:32:36,240 Speaker 1: includes a feature called Passport, which allows you to change 536 00:32:36,240 --> 00:32:40,920 Speaker 1: your location, meaning that, for example, I'm in Atlanta. But 537 00:32:41,000 --> 00:32:43,640 Speaker 1: let's say that I've got a trip plan to Hawaii 538 00:32:44,280 --> 00:32:46,760 Speaker 1: and I want to be able to use Tender to 539 00:32:46,800 --> 00:32:48,960 Speaker 1: meet up with folks have a nice time while I'm 540 00:32:49,000 --> 00:32:51,720 Speaker 1: on vacation. Maybe not even go on a date. Maybe 541 00:32:51,720 --> 00:32:54,120 Speaker 1: it's just to hang out and have fun, uh, not 542 00:32:54,200 --> 00:32:56,520 Speaker 1: like a not like a romantic date, but just to 543 00:32:56,520 --> 00:33:00,320 Speaker 1: to find someone who's who seems interesting and could make 544 00:33:00,440 --> 00:33:04,920 Speaker 1: that vacation much more of our memorable experience for whatever reason. 545 00:33:05,560 --> 00:33:08,720 Speaker 1: Then Passport would allow you to change your location too, 546 00:33:09,560 --> 00:33:13,160 Speaker 1: wherever you were going, like Hawaii, and look for matches there. 547 00:33:13,760 --> 00:33:16,640 Speaker 1: That way, you can you can check around, because if 548 00:33:16,640 --> 00:33:20,520 Speaker 1: you just open up Tender normally, it's not necessarily going 549 00:33:20,560 --> 00:33:25,160 Speaker 1: to give you any matches in advance. So that's interesting. 550 00:33:25,200 --> 00:33:27,960 Speaker 1: It also could be incredibly creepy. I mean also if 551 00:33:28,000 --> 00:33:31,840 Speaker 1: some Tender users were worried that this would dilute the results, 552 00:33:31,880 --> 00:33:36,520 Speaker 1: that people would start setting their location wherever they just 553 00:33:36,640 --> 00:33:38,840 Speaker 1: you know, just getting curious, Like, I wonder what would 554 00:33:38,840 --> 00:33:40,880 Speaker 1: happen if I were in l A, would I see 555 00:33:40,880 --> 00:33:46,960 Speaker 1: any celebrities because celebrities do use Tender. In fact, celebrities 556 00:33:47,040 --> 00:33:51,280 Speaker 1: use Tender, and Tender now will create verified accounts for 557 00:33:51,400 --> 00:33:55,760 Speaker 1: notable personalities. So let's say you fire up your phone 558 00:33:55,760 --> 00:33:57,720 Speaker 1: and find out that a cute pop star or a 559 00:33:57,760 --> 00:34:00,920 Speaker 1: hunky television actor that you really like happens to be 560 00:34:01,080 --> 00:34:04,680 Speaker 1: in the area and she or he is also lonely. 561 00:34:05,200 --> 00:34:07,960 Speaker 1: But how do you know that person in the app 562 00:34:08,160 --> 00:34:10,440 Speaker 1: is actually who they say they are rather than just 563 00:34:10,520 --> 00:34:13,840 Speaker 1: someone who has created a fake profile and and fed 564 00:34:13,880 --> 00:34:17,839 Speaker 1: it pictures of this person and then turned on Tinder. Well, 565 00:34:17,880 --> 00:34:20,920 Speaker 1: Tender verifies accounts in a way very similar to Twitter, 566 00:34:21,239 --> 00:34:23,759 Speaker 1: and you actually see a check mark next to their name, 567 00:34:24,000 --> 00:34:28,000 Speaker 1: which is Tender's tenders indication that yes, the celebrity that 568 00:34:28,040 --> 00:34:30,759 Speaker 1: you are looking at is actually on Tender. They are 569 00:34:30,840 --> 00:34:33,959 Speaker 1: actually looking for love and maybe you'll fit the bill. 570 00:34:34,800 --> 00:34:38,120 Speaker 1: So imagine boiling up Tender and seeing a celebrity there. 571 00:34:38,160 --> 00:34:40,480 Speaker 1: I know that there are quite a few that supposedly 572 00:34:40,640 --> 00:34:44,720 Speaker 1: use it. Apparently Hillary Duff and Leonardo DiCaprio have all 573 00:34:44,760 --> 00:34:49,239 Speaker 1: all both been on this app um and you know 574 00:34:49,320 --> 00:34:53,120 Speaker 1: they point out sometimes this allows you to have that 575 00:34:53,200 --> 00:34:57,440 Speaker 1: first interaction with a person without it being weird. I 576 00:34:57,440 --> 00:35:01,400 Speaker 1: mean for celebrities in particular, it's gotta be tough because 577 00:35:01,440 --> 00:35:04,760 Speaker 1: so many people feel like they know them simply because 578 00:35:04,760 --> 00:35:07,440 Speaker 1: they've seen them on television or in movies or whatever. 579 00:35:08,160 --> 00:35:10,680 Speaker 1: But you don't really know them. You just know their work, 580 00:35:11,120 --> 00:35:14,320 Speaker 1: and Tender in a way can help them find people 581 00:35:14,400 --> 00:35:19,239 Speaker 1: who seem interesting without its seeming like that person is 582 00:35:19,280 --> 00:35:23,080 Speaker 1: putting on whatever act they can in order to get 583 00:35:23,120 --> 00:35:26,120 Speaker 1: to meet a celebrity. So I can totally get that, 584 00:35:26,320 --> 00:35:30,680 Speaker 1: although the verified obviously makes it trickier because if you 585 00:35:30,880 --> 00:35:35,040 Speaker 1: see somebody verified on tender, then you know already this 586 00:35:35,080 --> 00:35:37,319 Speaker 1: is a notable personality of some sort, even if you're 587 00:35:37,320 --> 00:35:42,319 Speaker 1: not familiar with that person's work or their notability well. 588 00:35:42,400 --> 00:35:46,080 Speaker 1: Tender is also adding new features all the time. Some 589 00:35:46,200 --> 00:35:50,560 Speaker 1: of them help daters avoid potentially awkward situations. So, for example, 590 00:35:50,600 --> 00:35:52,960 Speaker 1: you can now see if you and your potential date 591 00:35:53,040 --> 00:35:57,080 Speaker 1: have any friends in common. You'll actually see mutual friends 592 00:35:57,160 --> 00:36:00,239 Speaker 1: and friends of friends, so you can consider how that 593 00:36:00,320 --> 00:36:02,879 Speaker 1: might influence your decision to take things a step further, 594 00:36:03,000 --> 00:36:05,360 Speaker 1: whether or not you want to actually meet this person 595 00:36:05,400 --> 00:36:08,880 Speaker 1: in real life. If you both like a lot of 596 00:36:08,880 --> 00:36:11,799 Speaker 1: the same people, that might be an indication that it's 597 00:36:11,840 --> 00:36:14,399 Speaker 1: a good fit. That you know, if you're all both 598 00:36:14,440 --> 00:36:17,799 Speaker 1: friends with a lot of the same folks, it might 599 00:36:17,880 --> 00:36:20,799 Speaker 1: mean that you have very compatible personalities. But it could 600 00:36:20,840 --> 00:36:23,239 Speaker 1: also help you avoid a situation in which someone might 601 00:36:23,239 --> 00:36:25,360 Speaker 1: be technically in a relationship right now but kind of 602 00:36:25,400 --> 00:36:29,000 Speaker 1: looking around for their next new Saturday night thing. Or 603 00:36:29,080 --> 00:36:32,200 Speaker 1: maybe you look at this person you think, oh, I'm 604 00:36:32,200 --> 00:36:34,840 Speaker 1: really not looking for anything serious right now, I'm looking 605 00:36:34,880 --> 00:36:37,960 Speaker 1: for something just you know, a casual relationship, and I'm 606 00:36:37,960 --> 00:36:40,160 Speaker 1: going to be totally upfront about that. I want it 607 00:36:40,200 --> 00:36:43,040 Speaker 1: to be a casual relationship and I want both parties 608 00:36:43,080 --> 00:36:45,560 Speaker 1: to be aware of that. However, if we all know 609 00:36:45,680 --> 00:36:49,360 Speaker 1: the same people, that could end up becoming awkward among 610 00:36:49,400 --> 00:36:52,040 Speaker 1: this group of friends. So it might be helpful in 611 00:36:52,080 --> 00:36:55,799 Speaker 1: that sense too. Uh, I guess I mean again, I've 612 00:36:55,800 --> 00:36:57,960 Speaker 1: been out of the dating life for so long that 613 00:36:58,480 --> 00:37:01,560 Speaker 1: these are all strange and usual words to me. But 614 00:37:01,600 --> 00:37:04,719 Speaker 1: the latest feature as of the recording of this podcast 615 00:37:04,880 --> 00:37:10,000 Speaker 1: in Tender is the super like. In high school, we 616 00:37:10,080 --> 00:37:13,560 Speaker 1: used to call this like like. You know, do you 617 00:37:13,600 --> 00:37:17,319 Speaker 1: like me? Do you like like me? Check one yes, 618 00:37:17,760 --> 00:37:21,799 Speaker 1: no or maybe uh. In this case, superl is a 619 00:37:21,800 --> 00:37:24,440 Speaker 1: new way to swipe on profile, so you know, you 620 00:37:24,480 --> 00:37:28,720 Speaker 1: swipe left for no or nope, and Tender language swipe 621 00:37:28,920 --> 00:37:32,160 Speaker 1: right for I am interested, and you swipe up for 622 00:37:32,239 --> 00:37:36,160 Speaker 1: a super like. You can also use another interface in 623 00:37:36,160 --> 00:37:38,040 Speaker 1: the app itself if you don't want to swipe up, 624 00:37:38,640 --> 00:37:41,680 Speaker 1: but a super like sends a notification to the person 625 00:37:41,719 --> 00:37:46,160 Speaker 1: whose profile you've tagged. In other words, normal operation of Tender, 626 00:37:46,760 --> 00:37:49,920 Speaker 1: no one gets any indication that someone has liked or 627 00:37:49,960 --> 00:37:54,240 Speaker 1: disliked their profile until they have liked the other person's profile, 628 00:37:54,400 --> 00:37:56,319 Speaker 1: and even then you don't get an indication if they 629 00:37:56,400 --> 00:37:59,640 Speaker 1: didn't like it. You only you only get a connection 630 00:37:59,760 --> 00:38:03,400 Speaker 1: if both of you say yes, well it's super like. 631 00:38:03,520 --> 00:38:06,520 Speaker 1: It's a little different if I were to super like 632 00:38:06,680 --> 00:38:10,439 Speaker 1: a profile, that person would receive a notification saying, hey, 633 00:38:10,560 --> 00:38:14,359 Speaker 1: Jonathan Strickland just super liked you. Now, Tender says this 634 00:38:14,480 --> 00:38:20,120 Speaker 1: is probably going to allow for more connections because you 635 00:38:20,160 --> 00:38:23,160 Speaker 1: are only given one super like per day and you 636 00:38:23,239 --> 00:38:25,400 Speaker 1: can't bank them. You can't roll them over to the 637 00:38:25,480 --> 00:38:27,960 Speaker 1: next day. So it's a use it or lose it, 638 00:38:28,400 --> 00:38:30,560 Speaker 1: and if you use it, that's the only one you 639 00:38:30,600 --> 00:38:33,480 Speaker 1: get to use for that twenty four hour period. So 640 00:38:33,640 --> 00:38:36,000 Speaker 1: if I send someone a super like, they know, all right, 641 00:38:36,040 --> 00:38:40,760 Speaker 1: well he really does like at least my appearance, because 642 00:38:41,480 --> 00:38:44,120 Speaker 1: he used up his one and only chance today to 643 00:38:44,280 --> 00:38:48,120 Speaker 1: say I like you. At that point, the person can 644 00:38:48,160 --> 00:38:51,640 Speaker 1: swipe left and you just lost your super like you. 645 00:38:51,640 --> 00:38:54,640 Speaker 1: You you took a chance and it struck out, and 646 00:38:54,760 --> 00:38:57,839 Speaker 1: that is the way life goes sometimes, or they can 647 00:38:57,840 --> 00:39:00,680 Speaker 1: swipe right and things can go on from air. Now 648 00:39:01,719 --> 00:39:05,360 Speaker 1: you know, it's it's an interesting idea. It's already rolled 649 00:39:05,360 --> 00:39:08,280 Speaker 1: out in Australia. As of the recording of this podcast, 650 00:39:08,320 --> 00:39:11,120 Speaker 1: it has not rolled out beyond Australia, but it's supposed 651 00:39:11,120 --> 00:39:14,160 Speaker 1: to continue to roll out to Tender users around the 652 00:39:14,160 --> 00:39:17,360 Speaker 1: world throughout the rest of the year. So that is 653 00:39:17,400 --> 00:39:22,440 Speaker 1: the latest on Tender Personally. I remember when I first 654 00:39:22,480 --> 00:39:27,440 Speaker 1: heard about Tinder. I think I had the grumpy old man, conservative, 655 00:39:28,640 --> 00:39:32,239 Speaker 1: dismissive opinion about it, like, you know, oh, this is 656 00:39:32,280 --> 00:39:34,840 Speaker 1: so shallow. It's just people hooking up because of the 657 00:39:34,880 --> 00:39:38,200 Speaker 1: way they look. The more I think about it, the 658 00:39:38,239 --> 00:39:40,800 Speaker 1: more I realize, now, this is kind of a This 659 00:39:40,800 --> 00:39:44,040 Speaker 1: this is no less legitimate than other means of just 660 00:39:44,160 --> 00:39:46,520 Speaker 1: meeting people, seeing someone that you think is attractive and 661 00:39:46,560 --> 00:39:49,279 Speaker 1: coming up and and saying hello and trying to strike 662 00:39:49,360 --> 00:39:54,920 Speaker 1: up a conversation. It's also safer because it doesn't put 663 00:39:54,960 --> 00:39:58,359 Speaker 1: anyone in an awkward physical situation. They can choose at 664 00:39:58,400 --> 00:40:00,680 Speaker 1: the very beginning whether or not they want to sue anything. 665 00:40:01,360 --> 00:40:04,040 Speaker 1: Um and I can see how this would appeal to 666 00:40:04,280 --> 00:40:10,399 Speaker 1: the millennial generation, people who have increasingly shifted their interactions 667 00:40:10,440 --> 00:40:15,120 Speaker 1: to an online approach. And honestly, even though I'm a 668 00:40:15,120 --> 00:40:19,480 Speaker 1: Generation xer, I'm older than the millennial generation. I feel 669 00:40:19,600 --> 00:40:21,480 Speaker 1: very much the same way. In a lot of respects. 670 00:40:21,520 --> 00:40:24,759 Speaker 1: I do enjoy using the internet to do stuff like heck, 671 00:40:24,840 --> 00:40:27,880 Speaker 1: I to order stuff and go shopping, to order food, 672 00:40:27,960 --> 00:40:31,560 Speaker 1: to call for things like an uber car or whatever 673 00:40:31,600 --> 00:40:35,120 Speaker 1: it may be. I get that it's something that I really, 674 00:40:35,719 --> 00:40:41,840 Speaker 1: uh gravitate toward as well, So upon further consideration, I 675 00:40:41,880 --> 00:40:44,839 Speaker 1: think I'm much more fair towards Tender than I used 676 00:40:44,880 --> 00:40:48,239 Speaker 1: to be. Granted, I am glad that I don't have 677 00:40:48,360 --> 00:40:50,920 Speaker 1: to use it because I think I might be depressed 678 00:40:50,920 --> 00:40:54,080 Speaker 1: at how few matches would pop up people swiping right 679 00:40:54,120 --> 00:40:57,560 Speaker 1: on my profile. But um, I think it is an 680 00:40:57,560 --> 00:41:00,799 Speaker 1: interesting app and I think, if used correctly, is nothing 681 00:41:00,920 --> 00:41:06,919 Speaker 1: wrong with it. Honestly, it requires the participation and honesty 682 00:41:06,960 --> 00:41:10,759 Speaker 1: of the people using the app. It's not just on 683 00:41:10,840 --> 00:41:13,360 Speaker 1: the app itself. It's on the behavior of the people 684 00:41:13,480 --> 00:41:17,280 Speaker 1: using it. And you can use or misuse any tool, 685 00:41:17,680 --> 00:41:20,520 Speaker 1: and I'm sure there are more than plenty of examples 686 00:41:20,560 --> 00:41:23,760 Speaker 1: of people out there who have tried to use Tinder 687 00:41:24,320 --> 00:41:28,759 Speaker 1: and just gone for like an easy sexual encounter or 688 00:41:28,800 --> 00:41:32,399 Speaker 1: something along those lines. And again, if you're not being 689 00:41:32,440 --> 00:41:34,759 Speaker 1: honest or up front about that stuff, shame on you. 690 00:41:34,880 --> 00:41:38,400 Speaker 1: That is not cool. But um, you know, if everyone 691 00:41:38,560 --> 00:41:42,439 Speaker 1: is is on the same page and everything is being 692 00:41:42,480 --> 00:41:46,280 Speaker 1: agreed upon and transparent, then I see no reason to 693 00:41:46,280 --> 00:41:51,200 Speaker 1: to condemn it. That you know, obviously uh so interesting story. 694 00:41:51,560 --> 00:41:53,880 Speaker 1: There's a lot more to talk about, I'm sure with Tinder, 695 00:41:53,880 --> 00:41:56,960 Speaker 1: and I'm sure we'll see more uh interesting things pop 696 00:41:57,040 --> 00:41:59,640 Speaker 1: up in the future. I'm curious to see how well 697 00:41:59,680 --> 00:42:02,520 Speaker 1: tender plus does in the long run, whether it actually 698 00:42:02,600 --> 00:42:06,480 Speaker 1: generates a significant amount of income. It might if people 699 00:42:06,719 --> 00:42:11,040 Speaker 1: really find that that experience to be rewarding, you know, 700 00:42:11,080 --> 00:42:14,279 Speaker 1: whether they just enjoy the thrill of being able to 701 00:42:14,320 --> 00:42:18,760 Speaker 1: look at different profiles, or they're actually seeking out someone 702 00:42:18,920 --> 00:42:22,960 Speaker 1: either for you know, a casual dating experience or looking 703 00:42:22,960 --> 00:42:26,919 Speaker 1: for someone to to really be their significant other. It's 704 00:42:26,960 --> 00:42:30,080 Speaker 1: really an interesting approach. So while there has been drama 705 00:42:30,200 --> 00:42:33,800 Speaker 1: behind the scenes, uh and I'm sure there will continue 706 00:42:33,840 --> 00:42:36,719 Speaker 1: to be some issues with this, this kind of shuffling 707 00:42:36,719 --> 00:42:41,680 Speaker 1: around at the top levels. It's it's obviously a compelling idea. 708 00:42:41,800 --> 00:42:44,399 Speaker 1: Whether or not it stays compelling or something else takes 709 00:42:44,400 --> 00:42:47,040 Speaker 1: its place, we'll have to wait and see. I've already 710 00:42:47,080 --> 00:42:53,000 Speaker 1: heard that the age range of users has increased that 711 00:42:53,080 --> 00:42:56,440 Speaker 1: the you know it used to be. The Tender users 712 00:42:56,440 --> 00:42:59,080 Speaker 1: were between the ages of like eighteen and twenty five, 713 00:42:59,080 --> 00:43:03,480 Speaker 1: but now it's closer to sixty, so there's either a 714 00:43:03,600 --> 00:43:07,720 Speaker 1: large influx of older people joining Tinder or younger people 715 00:43:07,719 --> 00:43:11,880 Speaker 1: are already getting less interested in and dropping away. I 716 00:43:11,880 --> 00:43:15,560 Speaker 1: hope you enjoyed that classic episode about Tinder, Tender, loving care, 717 00:43:16,120 --> 00:43:21,040 Speaker 1: fun times with the tech Stuff naming process. Anyway, if 718 00:43:21,080 --> 00:43:23,319 Speaker 1: you would like to reach out and suggest topics for 719 00:43:23,320 --> 00:43:25,840 Speaker 1: me to cover, whether maybe it's an update on Tinder, 720 00:43:25,880 --> 00:43:28,720 Speaker 1: because obviously a lot has happened since two thousand fifteen, 721 00:43:29,600 --> 00:43:31,600 Speaker 1: or maybe it's something entirely different. There are a couple 722 00:43:31,600 --> 00:43:33,560 Speaker 1: of different ways you can reach out to me. One 723 00:43:33,760 --> 00:43:36,160 Speaker 1: is to download the i Heart Radio app. It's free 724 00:43:36,160 --> 00:43:38,880 Speaker 1: to download. Just navigate over to tech Stuff use a 725 00:43:38,880 --> 00:43:41,319 Speaker 1: little microphone icon. You can record a message up to 726 00:43:41,360 --> 00:43:43,520 Speaker 1: thirty seconds in length and let me know what you 727 00:43:43,560 --> 00:43:46,440 Speaker 1: would like to hear on future episodes. Or you can 728 00:43:46,440 --> 00:43:48,920 Speaker 1: reach out to me on Twitter. The handle for the 729 00:43:48,920 --> 00:43:52,440 Speaker 1: show is tech Stuff hs W and I'll talk to 730 00:43:52,440 --> 00:44:01,880 Speaker 1: you again, Releaston. Text Stuff is an I heart Radio production. 731 00:44:02,120 --> 00:44:04,960 Speaker 1: For more podcasts from I Heart Radio, visit the i 732 00:44:05,080 --> 00:44:08,279 Speaker 1: Heart Radio app Apple Podcasts or wherever you listen to 733 00:44:08,360 --> 00:44:09,280 Speaker 1: your favorite shows.