1 00:00:05,760 --> 00:00:10,559 Speaker 1: So before we get into our chat with the legend 2 00:00:10,920 --> 00:00:15,960 Speaker 1: that is Fred Schibsta, we should address something. I think 3 00:00:15,960 --> 00:00:21,120 Speaker 1: it was episode sixteen where I called out a car journalist. 4 00:00:21,200 --> 00:00:23,680 Speaker 1: He's sort of a car journalist, but he's a tech expert. 5 00:00:23,720 --> 00:00:26,440 Speaker 1: What's his name? The lawyer's letting me say. This guy's 6 00:00:26,560 --> 00:00:29,880 Speaker 1: name Trevor Long from the Today Show. In my view, 7 00:00:29,920 --> 00:00:34,160 Speaker 1: he stole what was supposed to be my our Australian 8 00:00:34,880 --> 00:00:38,680 Speaker 1: first whatever. And I said in response, he looks like 9 00:00:38,720 --> 00:00:41,400 Speaker 1: the kind of guy that eats hot dogs for dinner. 10 00:00:41,520 --> 00:00:44,879 Speaker 1: He's caught wind of it, and he tweeted both of us, 11 00:00:45,760 --> 00:00:50,479 Speaker 1: and I tried to mend it. I offered an olive branch. 12 00:00:50,560 --> 00:00:53,400 Speaker 1: I said, I'd had eleven pints and a massage from 13 00:00:53,400 --> 00:00:57,280 Speaker 1: a woman called Stephen, and I tried to call a truce, 14 00:00:57,360 --> 00:01:00,880 Speaker 1: and you know what he said. He said, not a chance. 15 00:01:02,200 --> 00:01:04,600 Speaker 1: Redemption is on. So I think it's time I give 16 00:01:04,680 --> 00:01:05,120 Speaker 1: him a call. 17 00:01:05,280 --> 00:01:07,440 Speaker 2: And I think this needs to be a sincere apology 18 00:01:07,480 --> 00:01:07,839 Speaker 2: as well. 19 00:01:07,880 --> 00:01:10,039 Speaker 1: This will be the most sincererious thing I've ever done 20 00:01:10,040 --> 00:01:12,640 Speaker 1: in my life, and I'm going to call it. 21 00:01:12,840 --> 00:01:13,480 Speaker 2: I hope it is. 22 00:01:16,360 --> 00:01:20,240 Speaker 3: Trever is answering an endless number of emails and can't 23 00:01:20,240 --> 00:01:20,920 Speaker 3: take your call. 24 00:01:21,160 --> 00:01:24,120 Speaker 1: Do not leave a voice message, send a text instead. 25 00:01:24,959 --> 00:01:26,440 Speaker 2: Pleasely, but do you have a message. 26 00:01:26,480 --> 00:01:29,200 Speaker 4: After the time when you have finished recording, you may 27 00:01:29,240 --> 00:01:29,640 Speaker 4: hang up. 28 00:01:29,760 --> 00:01:31,600 Speaker 2: We'll post one for more options. 29 00:01:32,319 --> 00:01:36,080 Speaker 1: Hey, trev It's Gordy and Paul here from the Drive 30 00:01:36,120 --> 00:01:39,440 Speaker 1: Show podcast. Hi, say Hi Paul. 31 00:01:39,480 --> 00:01:40,040 Speaker 2: Hi Trevor. 32 00:01:40,080 --> 00:01:44,280 Speaker 3: So Gordy is calling up to apologize for being a no, 33 00:01:44,280 --> 00:01:44,640 Speaker 3: no no. 34 00:01:44,680 --> 00:01:46,160 Speaker 2: This is my overweight douchebag. 35 00:01:46,200 --> 00:01:54,440 Speaker 1: This is my apology. You don't need to apologize for yourself, Okay. 36 00:01:56,720 --> 00:01:59,160 Speaker 1: I just want to say, trev I'm sorry. 37 00:01:59,200 --> 00:01:59,400 Speaker 4: Man. 38 00:02:04,040 --> 00:02:06,000 Speaker 1: By the way, you might want to record this because 39 00:02:06,040 --> 00:02:07,680 Speaker 1: you might want to use it as a pump up 40 00:02:08,080 --> 00:02:12,880 Speaker 1: before you talk to the Today Show about a vacuum. 41 00:02:12,960 --> 00:02:14,679 Speaker 1: I just want to say I'm sorry about the hot 42 00:02:14,680 --> 00:02:18,000 Speaker 1: dog situation I made. I've eaten so many hot dogs. 43 00:02:18,040 --> 00:02:26,880 Speaker 1: I once saw the face of God. Just because you 44 00:02:26,919 --> 00:02:31,919 Speaker 1: look like a Tafe teacher, the teacher sheep metal doesn't 45 00:02:33,320 --> 00:02:37,320 Speaker 1: doesn't make you less of a man. You are still 46 00:02:37,320 --> 00:02:41,919 Speaker 1: a genius. In fact, not a tafe teacher, a physics teacher. 47 00:02:42,880 --> 00:02:47,160 Speaker 1: A physics teacher, but also a little bit like the 48 00:02:47,240 --> 00:02:52,560 Speaker 1: Crisco Christmas Club Lady and I don't know what a 49 00:02:52,560 --> 00:02:55,440 Speaker 1: physics teacher is. I wouldn't because I don't know what 50 00:02:55,520 --> 00:02:59,480 Speaker 1: physics are. But Paul's laughing, and I think it's pretty important. 51 00:03:00,080 --> 00:03:01,200 Speaker 2: I'm taking no farre in this. 52 00:03:02,919 --> 00:03:22,480 Speaker 1: Here we go sing it, you're you're now anyway, I'd 53 00:03:22,520 --> 00:03:25,280 Speaker 1: like to formally invite you on the show to come 54 00:03:25,320 --> 00:03:28,040 Speaker 1: on in and have a chat. I'll eat some hot dogs, 55 00:03:28,720 --> 00:03:31,600 Speaker 1: I'll get some tacos, we'll get a case of beers. 56 00:03:34,560 --> 00:03:35,880 Speaker 1: Was that apology, all right, Paul? 57 00:03:36,440 --> 00:03:38,200 Speaker 2: Well, yeah, I think so. But I would love to 58 00:03:38,200 --> 00:03:39,160 Speaker 2: have Trevor on the show. 59 00:03:39,240 --> 00:03:45,000 Speaker 1: Okay, you're getting faded out. Hang on, all right, sorry, 60 00:03:45,080 --> 00:03:45,840 Speaker 1: go ahead, Paul. 61 00:03:46,960 --> 00:03:48,720 Speaker 2: I would actually like to have Trevor on the show. 62 00:03:48,760 --> 00:03:50,600 Speaker 2: It'd be good to have someone who knows what they're 63 00:03:50,640 --> 00:03:59,160 Speaker 2: talking about. So yeah, it would be good anyway, Thank 64 00:03:59,160 --> 00:03:59,480 Speaker 2: you for that. 65 00:03:59,560 --> 00:04:01,200 Speaker 1: Now we've got that out of the way. I did 66 00:04:01,320 --> 00:04:05,200 Speaker 1: organize you a little bit of a present. Fred Schebesta, 67 00:04:05,280 --> 00:04:08,360 Speaker 1: this dude is is an incredible guy. He's the founder 68 00:04:08,480 --> 00:04:12,400 Speaker 1: of Finder dot com. Yeah, he's the founder of Finder 69 00:04:12,480 --> 00:04:16,000 Speaker 1: dot com. Dot you and since then, and since the 70 00:04:16,040 --> 00:04:18,440 Speaker 1: success of that, and obviously the global success of that, 71 00:04:18,600 --> 00:04:22,400 Speaker 1: is picked up crypto which I know you're obviously into 72 00:04:22,440 --> 00:04:24,919 Speaker 1: and NFTs and all that. In fact, this guy's also 73 00:04:24,960 --> 00:04:29,400 Speaker 1: known as the Crypto King. So here is our chat 74 00:04:29,760 --> 00:04:31,880 Speaker 1: with Fred Schabester. 75 00:04:31,720 --> 00:04:34,800 Speaker 4: Like, do you have to like engage like the heavy 76 00:04:35,120 --> 00:04:36,880 Speaker 4: boosters to like turn this bad boy on? 77 00:04:37,120 --> 00:04:41,240 Speaker 3: Like, have you seen the studio? It looks like a 78 00:04:41,320 --> 00:04:43,480 Speaker 3: possum has pissed on the roof. So I think that 79 00:04:43,640 --> 00:04:45,440 Speaker 3: it needs hopes and dreams more than anything. 80 00:04:45,560 --> 00:04:49,640 Speaker 1: So we've taken him in the good studio. Mate, all right, okay, 81 00:04:49,680 --> 00:04:51,960 Speaker 1: he's not in my I have a studio over there 82 00:04:52,440 --> 00:04:56,960 Speaker 1: and it honestly looks like the airport lounge at Kabul Airport. 83 00:04:59,760 --> 00:05:02,599 Speaker 4: Do you actually like is this actually like this is 84 00:05:02,680 --> 00:05:05,320 Speaker 4: like like literally it feels like you've got to like 85 00:05:05,960 --> 00:05:08,440 Speaker 4: press all these buttons like a seven four seven, and 86 00:05:08,480 --> 00:05:10,760 Speaker 4: then then it like turns on and it's like. 87 00:05:10,720 --> 00:05:12,480 Speaker 1: Do you know what we do with our show? We 88 00:05:12,520 --> 00:05:15,000 Speaker 1: press a couple of buttons, we fly up in the 89 00:05:15,040 --> 00:05:17,400 Speaker 1: air and we just hope to hell it doesn't crash. Wow, 90 00:05:17,480 --> 00:05:21,000 Speaker 1: that's pretty much us. Now, last chat we had right, 91 00:05:21,200 --> 00:05:24,719 Speaker 1: you're in Brisbane. That's why your audio sucks, yesh, Brisbane. 92 00:05:24,880 --> 00:05:26,599 Speaker 1: Last time we had a chat you had your grumpy 93 00:05:26,640 --> 00:05:29,200 Speaker 1: pants on. So I've organized a bit of a present 94 00:05:29,240 --> 00:05:34,039 Speaker 1: for you, right. Yes, this is a guy called Fred 95 00:05:34,080 --> 00:05:36,359 Speaker 1: Shabasta or best I should say, I've stuffed up his 96 00:05:36,480 --> 00:05:40,360 Speaker 1: name like the best star, the best star on the block. 97 00:05:41,279 --> 00:05:44,560 Speaker 1: Co found out. Hang on, don't I'm trying to introduce 98 00:05:44,720 --> 00:05:48,400 Speaker 1: I don't. I don't write things down. You know this 99 00:05:48,440 --> 00:05:51,359 Speaker 1: from me, and I've written the stuff down, so this 100 00:05:51,400 --> 00:05:52,120 Speaker 1: is a big deal. 101 00:05:52,360 --> 00:05:54,279 Speaker 2: I'll let him have his moment. Go on, go on. 102 00:05:54,320 --> 00:05:58,360 Speaker 1: Gordy co found our financial comparison SiteFinder dot com dot au, 103 00:05:58,640 --> 00:06:01,320 Speaker 1: published author go Live. This is what I love. This 104 00:06:01,400 --> 00:06:04,719 Speaker 1: title Ten Principles to Launch a Global Empire. This is 105 00:06:04,760 --> 00:06:08,159 Speaker 1: a number one Amazon bestseller and it's a book that 106 00:06:08,279 --> 00:06:11,719 Speaker 1: I read. So the last book that I read had 107 00:06:11,760 --> 00:06:14,400 Speaker 1: words and pictures and it was called Where Did I 108 00:06:14,480 --> 00:06:21,479 Speaker 1: Come From? This is also a guy that last year 109 00:06:21,520 --> 00:06:23,480 Speaker 1: he was made Look, I don't do a rich list, 110 00:06:23,520 --> 00:06:25,840 Speaker 1: but he's made a rich list and that's a big 111 00:06:25,880 --> 00:06:29,039 Speaker 1: deal because it's from the Australian Financial Review. Do you 112 00:06:29,080 --> 00:06:33,039 Speaker 1: know what. I've never really met royalty before, right, but 113 00:06:33,120 --> 00:06:34,919 Speaker 1: I can tell you the closest I've ever come to 114 00:06:35,040 --> 00:06:38,479 Speaker 1: Royalty is King Willie Whedy and this guy is a 115 00:06:38,520 --> 00:06:42,440 Speaker 1: crypto king, Paul. That's why I brought him in because 116 00:06:42,480 --> 00:06:46,000 Speaker 1: you love crypto and you love kings. Fred. Welcome aboard, 117 00:06:46,000 --> 00:06:46,920 Speaker 1: Thank you for hanging out. 118 00:06:47,000 --> 00:06:48,880 Speaker 4: Thanks very much for having me on the on the 119 00:06:48,880 --> 00:06:51,760 Speaker 4: spaceship here, I see like all the dynamic thrusters have 120 00:06:51,800 --> 00:06:54,279 Speaker 4: been phased at the Dalitium crystals. 121 00:06:54,520 --> 00:06:57,320 Speaker 1: Yeah, let me tell you why I thought you'd be 122 00:06:57,360 --> 00:07:00,919 Speaker 1: a great chat. Okay, so you came in here. My 123 00:07:01,080 --> 00:07:03,719 Speaker 1: day job is working at a radio station with Kyle 124 00:07:03,760 --> 00:07:06,520 Speaker 1: and Jackie. Oh, and Fred came in there to promote 125 00:07:06,520 --> 00:07:08,640 Speaker 1: the book. Shut up, Paul, no one's asked for you. 126 00:07:09,960 --> 00:07:13,560 Speaker 1: Fred came into promoting his awesome book. And I'm like, 127 00:07:13,680 --> 00:07:15,640 Speaker 1: I didn't know. I didn't know who you were. And 128 00:07:15,640 --> 00:07:18,600 Speaker 1: I'm like, who's this dude coming out of a Porsche 129 00:07:18,720 --> 00:07:25,120 Speaker 1: Pana mirror that's like the hybrid turbotype topspec. Who's this guy? 130 00:07:25,480 --> 00:07:30,720 Speaker 1: But the thing is, he's like a successful businessman but 131 00:07:31,360 --> 00:07:33,040 Speaker 1: dresses like an La TikToker. 132 00:07:37,520 --> 00:07:39,080 Speaker 2: I think had something to be proud about. 133 00:07:39,560 --> 00:07:41,920 Speaker 1: I agree, because here's the deal. I don't get the 134 00:07:41,960 --> 00:07:43,440 Speaker 1: corporate world at all. 135 00:07:43,480 --> 00:07:45,440 Speaker 4: Direct from Venice Beach, Yeah. 136 00:07:45,240 --> 00:07:47,080 Speaker 1: I don't get I don't get the suits, man, but 137 00:07:47,120 --> 00:07:49,360 Speaker 1: when you came in here and like you know your 138 00:07:49,360 --> 00:07:52,080 Speaker 1: stuff and you're doing your own thing, I'm like, I 139 00:07:52,200 --> 00:07:55,040 Speaker 1: want to be friends with this guy. What a rad call, dude? 140 00:07:55,040 --> 00:07:57,600 Speaker 4: Anyway, only friends with you? Got you and Paul as 141 00:07:57,640 --> 00:07:58,160 Speaker 4: well done. 142 00:08:00,240 --> 00:08:02,600 Speaker 3: Look, I know this is a car show and we 143 00:08:02,640 --> 00:08:05,760 Speaker 3: should talk about car stuff first, but I am like 144 00:08:06,000 --> 00:08:11,240 Speaker 3: massively obsessed with crypto and I actually was also using 145 00:08:11,400 --> 00:08:14,200 Speaker 3: Finder when you guys were running the crypto competition and 146 00:08:14,880 --> 00:08:17,040 Speaker 3: then continue using it for some of my crypto trading 147 00:08:17,080 --> 00:08:19,280 Speaker 3: as well. So we'll get to crypto at a second. 148 00:08:19,280 --> 00:08:22,679 Speaker 3: But cars, I think that the cars are an interesting 149 00:08:22,680 --> 00:08:26,560 Speaker 3: starting point. Gordy mentioned you drive a Panameira. What has 150 00:08:26,920 --> 00:08:28,559 Speaker 3: led you to Porsche as a brand? 151 00:08:30,120 --> 00:08:33,640 Speaker 4: Well, I had my previous car. It was a Cries 152 00:08:33,679 --> 00:08:40,080 Speaker 4: the three hundred CEA and I bought it. Unfortunately I 153 00:08:40,160 --> 00:08:44,120 Speaker 4: bought it in silver, not in black. That was a mistake, yeah, 154 00:08:44,320 --> 00:08:47,200 Speaker 4: because as someone told me, oh, silver cars resell better. 155 00:08:47,400 --> 00:08:49,560 Speaker 4: And then I realized I'm never going to sell this car. 156 00:08:49,600 --> 00:08:51,840 Speaker 4: And I literally held on to it for thirteen years. 157 00:08:51,920 --> 00:08:54,199 Speaker 4: I drove it wow, all over Sydney. I drove it 158 00:08:54,280 --> 00:08:55,640 Speaker 4: until it wouldn't turn on anymore? 159 00:08:55,760 --> 00:08:56,319 Speaker 1: Is that right? 160 00:08:56,679 --> 00:08:59,000 Speaker 4: It would not turn on, and I went through batteries, 161 00:08:59,760 --> 00:09:02,360 Speaker 4: the everything fell apart on it and I just but 162 00:09:02,360 --> 00:09:04,400 Speaker 4: I drove it to the ground and it wouldn't move. 163 00:09:04,480 --> 00:09:07,040 Speaker 1: And when you eventually sold, that was that to fund 164 00:09:07,200 --> 00:09:08,240 Speaker 1: like the business? 165 00:09:08,400 --> 00:09:12,839 Speaker 4: Yeah, so I the first time I sold. So when 166 00:09:12,840 --> 00:09:15,760 Speaker 4: I saw my first company, I bought that car and 167 00:09:15,920 --> 00:09:18,520 Speaker 4: it cost me fifty grand and it was like a 168 00:09:18,559 --> 00:09:23,280 Speaker 4: big deal. That was like a significant milestone in my life. 169 00:09:23,320 --> 00:09:25,920 Speaker 4: And so when I was going to sell it after 170 00:09:25,920 --> 00:09:27,640 Speaker 4: thirteen years, I was like, oh, man, I feel so 171 00:09:27,679 --> 00:09:29,480 Speaker 4: bad about selling this car because it meant so much 172 00:09:29,520 --> 00:09:32,280 Speaker 4: to me. I kept the number plate and that's why 173 00:09:32,280 --> 00:09:35,160 Speaker 4: my number plate on my new car is so wonky. 174 00:09:36,760 --> 00:09:38,600 Speaker 1: That's that right, Yeah, Oh that's so cool. 175 00:09:39,000 --> 00:09:43,360 Speaker 4: It's yeah. So it reminds me of the hard work 176 00:09:43,480 --> 00:09:47,079 Speaker 4: that I you know, I grinded for twenty years to 177 00:09:47,640 --> 00:09:50,040 Speaker 4: get it, and I's that was the piece. I was 178 00:09:50,080 --> 00:09:52,120 Speaker 4: going to like keep it and just put it somewhere 179 00:09:52,120 --> 00:09:53,680 Speaker 4: and like take it apart and like melt it down 180 00:09:53,679 --> 00:09:55,120 Speaker 4: and put it into something. But I thought, well, at 181 00:09:55,200 --> 00:09:59,040 Speaker 4: least if I keep the number plate, that would be something. 182 00:09:59,120 --> 00:10:03,400 Speaker 4: So the next challenge was Okay, what car do you buy? 183 00:10:03,800 --> 00:10:06,720 Speaker 4: And I love value, you know, long term quality and 184 00:10:06,760 --> 00:10:09,319 Speaker 4: things will last. And I think I think Porsche is 185 00:10:09,360 --> 00:10:12,240 Speaker 4: a brand. It's just it's like, yes, it's it's probably 186 00:10:12,240 --> 00:10:15,120 Speaker 4: a little over the top, but I know if I'm 187 00:10:15,120 --> 00:10:16,160 Speaker 4: going to get in the car, need to go pick 188 00:10:16,240 --> 00:10:18,160 Speaker 4: up my children, or I need to get to the office, 189 00:10:18,240 --> 00:10:22,080 Speaker 4: or I need to drive, you know, to radio station, 190 00:10:22,360 --> 00:10:25,080 Speaker 4: I need to get there, and I can't. It can't 191 00:10:25,120 --> 00:10:27,240 Speaker 4: not work because you know, I have a series of 192 00:10:27,280 --> 00:10:30,120 Speaker 4: things that if it doesn't turn on and work and go, 193 00:10:30,600 --> 00:10:32,839 Speaker 4: that's a serious issue. And then the second point is, 194 00:10:32,840 --> 00:10:34,280 Speaker 4: you know, I need to put three kids in the car, 195 00:10:34,520 --> 00:10:37,080 Speaker 4: so I couldn't have a two door car. That's a 196 00:10:36,840 --> 00:10:37,679 Speaker 4: that's an issue. 197 00:10:37,760 --> 00:10:39,960 Speaker 1: Yeah, I I That's why I sold my Porsche because 198 00:10:40,280 --> 00:10:42,680 Speaker 1: apparently when when I was taking my kid out of 199 00:10:42,679 --> 00:10:44,360 Speaker 1: the hospital, they said, you can't put the kid in 200 00:10:44,360 --> 00:10:48,840 Speaker 1: the boot, and I said, that sounds like a challenge, 201 00:10:49,120 --> 00:10:51,800 Speaker 1: and anyway, I didn't win that. My wife stepped in. 202 00:10:51,840 --> 00:10:54,840 Speaker 1: But yeah, it's it's it's basically the family. 203 00:10:54,520 --> 00:10:57,240 Speaker 4: Hard getting the car seat in the boot, that's tough, Cassie, 204 00:10:59,000 --> 00:10:59,840 Speaker 4: like the shopping bag. 205 00:11:02,840 --> 00:11:05,640 Speaker 3: I got to say, I actually you raise a very 206 00:11:05,640 --> 00:11:11,040 Speaker 3: good point there, Fred, because I have an assorted collection 207 00:11:11,120 --> 00:11:14,040 Speaker 3: of shit boxes, and one of them is I love 208 00:11:14,200 --> 00:11:17,000 Speaker 3: Australian cars, and one of them is a v HSV. 209 00:11:17,120 --> 00:11:19,360 Speaker 2: And yesterday we're in Melbourne. 210 00:11:19,360 --> 00:11:21,199 Speaker 3: We had to go to BMW to shoot some video 211 00:11:21,240 --> 00:11:22,880 Speaker 3: footage of these new cars and I thought. 212 00:11:22,720 --> 00:11:24,760 Speaker 2: You know, I'm going to wheel the old girl out and. 213 00:11:26,000 --> 00:11:28,160 Speaker 3: Go for a drive to BMW in that and the 214 00:11:28,200 --> 00:11:31,280 Speaker 3: battery was very flat and I got to this freeway 215 00:11:31,280 --> 00:11:35,120 Speaker 3: off ramp and literally it died on the off rap 216 00:11:35,160 --> 00:11:38,280 Speaker 3: because the battery died. So I see exactly what you're saying. 217 00:11:38,360 --> 00:11:39,840 Speaker 3: The last thing you want is a car that just 218 00:11:39,920 --> 00:11:42,320 Speaker 3: isn't going to get you there. And I well and 219 00:11:42,360 --> 00:11:45,480 Speaker 3: truly feel your pain. Now. I know that you mentioned 220 00:11:45,520 --> 00:11:48,960 Speaker 3: that the cries or I guess, and the registration after 221 00:11:49,000 --> 00:11:51,760 Speaker 3: that had that sentimental value of all the hard work 222 00:11:51,760 --> 00:11:56,040 Speaker 3: you put in for the business does and you probably 223 00:11:56,080 --> 00:11:58,280 Speaker 3: don't want to share what the registration actually says. But 224 00:11:58,320 --> 00:12:00,000 Speaker 3: does it have anything to do with the business or 225 00:12:00,160 --> 00:12:02,280 Speaker 3: is it just a personal plate that you sort of 226 00:12:02,280 --> 00:12:02,960 Speaker 3: picked at the time. 227 00:12:03,080 --> 00:12:06,480 Speaker 4: It's literally like a generic pretty much a generic one, 228 00:12:06,559 --> 00:12:09,080 Speaker 4: you know, like mystery pick when you get a new car, yea, 229 00:12:09,240 --> 00:12:11,360 Speaker 4: like I just didn't have you know, I didn't have 230 00:12:11,920 --> 00:12:13,320 Speaker 4: I didn't I had some money, but I didn't have 231 00:12:13,360 --> 00:12:15,240 Speaker 4: that much money to go and customize stuff and all 232 00:12:15,280 --> 00:12:19,520 Speaker 4: those kind of things. I think another key decision point. 233 00:12:19,559 --> 00:12:24,320 Speaker 4: But in the purchase of this car was about electric 234 00:12:24,440 --> 00:12:26,719 Speaker 4: or not electric. So it is a e hybrid, so 235 00:12:26,800 --> 00:12:31,080 Speaker 4: it does go about forty forty k's call it, you know, 236 00:12:31,160 --> 00:12:35,079 Speaker 4: give or take on a full charge and then it 237 00:12:35,120 --> 00:12:39,920 Speaker 4: switches to petrol. And it was one of those moments 238 00:12:39,960 --> 00:12:43,280 Speaker 4: in time when I think, you know, it's it's it's 239 00:12:43,360 --> 00:12:47,120 Speaker 4: probably this crossover point. And I was like, you know, 240 00:12:47,160 --> 00:12:49,320 Speaker 4: if I really need to drive somewhere, like you know, 241 00:12:49,320 --> 00:12:51,319 Speaker 4: I don't want to see out charge waiting and charging 242 00:12:51,360 --> 00:12:53,560 Speaker 4: and those kind of things. So, you know, the sort 243 00:12:53,559 --> 00:12:57,000 Speaker 4: of Tesla and full electrics, and also the Tyken was 244 00:12:57,040 --> 00:13:00,480 Speaker 4: coming out, so I was like, yeah, again, you know 245 00:13:00,880 --> 00:13:03,280 Speaker 4: that full crossover to full electric. I think it's a big, 246 00:13:03,320 --> 00:13:05,800 Speaker 4: big call. I still think it's well, that's what my 247 00:13:05,840 --> 00:13:06,840 Speaker 4: assessment was at the time. 248 00:13:06,920 --> 00:13:08,520 Speaker 1: Do you know what I reckon It's a lot like Crypto. 249 00:13:08,640 --> 00:13:11,320 Speaker 1: I would have agreed with you. When I first started 250 00:13:11,320 --> 00:13:13,760 Speaker 1: this podcast, I was exactly the same, and I reckon 251 00:13:14,040 --> 00:13:18,640 Speaker 1: it is a lot less scarier than it is at 252 00:13:18,679 --> 00:13:20,439 Speaker 1: first glance, do you know what I mean? Like it's 253 00:13:20,520 --> 00:13:24,280 Speaker 1: it's more habitual, right, electric is more of a habitual thing. 254 00:13:24,320 --> 00:13:26,760 Speaker 1: You kind of go home, you put it on charge, 255 00:13:27,280 --> 00:13:27,920 Speaker 1: you're good to go. 256 00:13:28,080 --> 00:13:30,480 Speaker 4: I can get to the city and back from my house, 257 00:13:31,000 --> 00:13:35,120 Speaker 4: so it is essentially still got enough range, but I 258 00:13:35,160 --> 00:13:36,760 Speaker 4: can't go any further than that. Then it's just a 259 00:13:36,800 --> 00:13:37,760 Speaker 4: petrol plus. 260 00:13:37,800 --> 00:13:42,280 Speaker 1: Also, it's your first kind of big expensive car, Like 261 00:13:42,320 --> 00:13:44,360 Speaker 1: it's a car car. You want to hear that shit, 262 00:13:44,480 --> 00:13:45,960 Speaker 1: you know what I mean? Like you want to kind 263 00:13:45,960 --> 00:13:47,920 Speaker 1: of let me just switch that on. It's it makes 264 00:13:47,920 --> 00:13:49,880 Speaker 1: a damn good sample, Like, well, we're in the car, 265 00:13:50,960 --> 00:13:51,440 Speaker 1: you know what. 266 00:13:52,679 --> 00:13:56,040 Speaker 3: I'm just helping sell read the electric dream here. But 267 00:13:56,679 --> 00:14:00,200 Speaker 3: the Taykon you can actually option a speaker. So the 268 00:14:00,240 --> 00:14:03,200 Speaker 3: cars that we tested recently had the optional speaker and 269 00:14:03,240 --> 00:14:06,120 Speaker 3: it actually sounds like a like a nine to eleven 270 00:14:06,200 --> 00:14:08,160 Speaker 3: turbo when you step on it. And the best bit 271 00:14:08,240 --> 00:14:11,200 Speaker 3: is the speaker is outside the car, so everyone else 272 00:14:11,240 --> 00:14:13,839 Speaker 3: hears this even though it's full electric, So you're kind 273 00:14:13,840 --> 00:14:15,280 Speaker 3: of getting the best of both worlds there. 274 00:14:15,559 --> 00:14:18,680 Speaker 1: It's like fake boobs I mean there's still boobs, but. 275 00:14:20,360 --> 00:14:22,280 Speaker 4: On the outside. 276 00:14:23,840 --> 00:14:26,320 Speaker 1: I reckon this car suits you more than you realize 277 00:14:26,640 --> 00:14:29,960 Speaker 1: because the guy who designed it, well, the guy who 278 00:14:30,000 --> 00:14:33,280 Speaker 1: was partly responsible for the Panemiro was a really big, 279 00:14:33,440 --> 00:14:37,440 Speaker 1: tall dude, big german guy, and legend has it he 280 00:14:37,480 --> 00:14:39,560 Speaker 1: sort of came in and goes, I want a card 281 00:14:39,600 --> 00:14:43,080 Speaker 1: that I consists in the back of and be completely 282 00:14:43,120 --> 00:14:46,280 Speaker 1: fine and all that. And the first generation was actually 283 00:14:46,280 --> 00:14:48,200 Speaker 1: a really ugly It actually had a bit of an 284 00:14:48,280 --> 00:14:50,480 Speaker 1: ugly almost like a lump in the back right. 285 00:14:50,680 --> 00:14:55,480 Speaker 2: Both yeh, just a nasty growth hump exactly. 286 00:14:55,520 --> 00:14:57,800 Speaker 1: It had like this weird camel hump at the back. 287 00:14:57,960 --> 00:15:02,240 Speaker 1: And then they got a guy Michael Mayor I can't remember. 288 00:15:02,320 --> 00:15:04,600 Speaker 1: I think he worked at Mercedes and Saab and he 289 00:15:04,680 --> 00:15:07,040 Speaker 1: came into Porsche and they were like, can you fix 290 00:15:07,080 --> 00:15:09,160 Speaker 1: this car? And for a long time I was like, oh, 291 00:15:09,200 --> 00:15:13,080 Speaker 1: I I don't think I could fix this, and he did. 292 00:15:13,120 --> 00:15:16,680 Speaker 1: But I think this car was really a rule breaker 293 00:15:16,760 --> 00:15:19,200 Speaker 1: from the start. And I mean, get it going back 294 00:15:19,200 --> 00:15:21,520 Speaker 1: to your book, man, like, that's that's kind of what 295 00:15:21,560 --> 00:15:23,480 Speaker 1: you are. So I reckon this car suitching more than 296 00:15:23,520 --> 00:15:24,000 Speaker 1: you realize. 297 00:15:24,160 --> 00:15:26,280 Speaker 4: That's interesting you say that, Yeah, I think because I 298 00:15:26,280 --> 00:15:29,440 Speaker 4: remember when the four door came out and everyone, oh, 299 00:15:29,520 --> 00:15:32,360 Speaker 4: what's that. You've broken Porsche, you know, like it's a 300 00:15:32,400 --> 00:15:35,880 Speaker 4: broken Porsche. And I was like, at first, I was like, oh, geez, 301 00:15:35,880 --> 00:15:38,760 Speaker 4: I'm not sure about that. And then one of my 302 00:15:38,760 --> 00:15:40,560 Speaker 4: friends we went and looked at it and they said, 303 00:15:40,600 --> 00:15:42,280 Speaker 4: have you have you actually looked at this? And then 304 00:15:42,440 --> 00:15:44,840 Speaker 4: it started to door num on me that this was 305 00:15:44,840 --> 00:15:46,920 Speaker 4: the rule breaker, this was the one that broke that 306 00:15:47,040 --> 00:15:49,360 Speaker 4: changed the game. You know, it's like, well, I don't 307 00:15:49,400 --> 00:15:52,400 Speaker 4: care what other other cars are doing, I'm going to 308 00:15:52,560 --> 00:15:55,120 Speaker 4: go this way. And it's like it's quite a it's 309 00:15:55,160 --> 00:15:58,760 Speaker 4: quite a statement. Yeah, And I actually saw someone driving 310 00:15:58,880 --> 00:16:02,720 Speaker 4: one before and I was like, whoa, that's a big 311 00:16:02,800 --> 00:16:06,560 Speaker 4: move to like go and and like it's it's it's 312 00:16:06,600 --> 00:16:09,880 Speaker 4: just a it's it's it's like you don't care about 313 00:16:10,240 --> 00:16:15,200 Speaker 4: all of the social precedents and you know, context of 314 00:16:15,520 --> 00:16:18,680 Speaker 4: what is in the Overton window. You've just gone nah, 315 00:16:19,240 --> 00:16:20,400 Speaker 4: just putting another two doors on. 316 00:16:21,560 --> 00:16:24,120 Speaker 3: Well, I'm curious, as a as a bit of a 317 00:16:24,160 --> 00:16:27,200 Speaker 3: tech nerd and lover of you know, emerging tech, what 318 00:16:27,240 --> 00:16:29,600 Speaker 3: do you reckon about Tesla because they've kind of. 319 00:16:29,520 --> 00:16:30,960 Speaker 2: Done exactly that where they've gone. 320 00:16:31,040 --> 00:16:33,720 Speaker 3: Well, you know, traditional car companies do it this way, 321 00:16:33,720 --> 00:16:35,720 Speaker 3: but we're gonna switch things around a bit. Does that 322 00:16:35,840 --> 00:16:38,720 Speaker 3: company have any appeal to you? 323 00:16:38,720 --> 00:16:38,920 Speaker 1: You know? 324 00:16:39,040 --> 00:16:42,160 Speaker 4: I I've driven them a couple of times, you know, 325 00:16:42,200 --> 00:16:47,160 Speaker 4: a few times in America and in Australia. 326 00:16:48,320 --> 00:16:51,400 Speaker 1: I just preferences by saying everything Paul says about Tesla, 327 00:16:51,440 --> 00:16:54,240 Speaker 1: he's getting paid to say. No, he's not. He'll kill 328 00:16:54,280 --> 00:16:59,120 Speaker 1: me for say. He'll text me after this interview. I 329 00:16:59,640 --> 00:17:00,440 Speaker 1: feel like. 330 00:17:02,920 --> 00:17:07,040 Speaker 4: There's something and I don't know what it is yet, 331 00:17:07,200 --> 00:17:10,919 Speaker 4: that when you sit in the car it feels like 332 00:17:11,040 --> 00:17:15,119 Speaker 4: it could break. That's really harsh to say, but I 333 00:17:15,160 --> 00:17:17,840 Speaker 4: and maybe it's way better engineered than I realized or anything. 334 00:17:18,160 --> 00:17:21,520 Speaker 4: But when I sit in like a Porsche, you know 335 00:17:21,680 --> 00:17:24,679 Speaker 4: that is it's just and I think it was just 336 00:17:24,880 --> 00:17:28,760 Speaker 4: my mindset partially on you know, it's more risky to 337 00:17:29,040 --> 00:17:31,040 Speaker 4: drive a car than it is to fly on a plane, 338 00:17:31,240 --> 00:17:33,840 Speaker 4: and so I was like, I don't know, there's something 339 00:17:33,840 --> 00:17:36,720 Speaker 4: about this car that it felt a little bit like 340 00:17:37,400 --> 00:17:39,639 Speaker 4: maybe half of it will fall off. I don't know 341 00:17:40,400 --> 00:17:43,840 Speaker 4: that that's ridiculous and that's not that's just an intuition 342 00:17:43,920 --> 00:17:45,880 Speaker 4: that I felt and it's probably something because it's brand new, 343 00:17:46,600 --> 00:17:48,719 Speaker 4: but that was the first feeling I got, and I 344 00:17:48,760 --> 00:17:51,200 Speaker 4: was like, I was like, this is amazingly fast and 345 00:17:51,320 --> 00:17:54,119 Speaker 4: crazily quickly going, and I can feel how it's stuck 346 00:17:54,160 --> 00:17:56,639 Speaker 4: to the ground, but I feel like it's going to break. 347 00:17:57,200 --> 00:17:59,240 Speaker 3: Yeah, But that's that's not a bad view to have 348 00:17:59,359 --> 00:18:02,199 Speaker 3: because the first Tesla I bought, when I had a 349 00:18:02,200 --> 00:18:05,359 Speaker 3: Model three performance, mine was literally built in a tent 350 00:18:05,560 --> 00:18:08,199 Speaker 3: because they had to assemble some of the cars and 351 00:18:08,200 --> 00:18:10,960 Speaker 3: finish the assembly in a tent that they constructed outside 352 00:18:10,960 --> 00:18:15,360 Speaker 3: Fremont in California. They then moved production to China, and 353 00:18:15,440 --> 00:18:18,520 Speaker 3: they ironically got significantly better when they started producing them 354 00:18:18,520 --> 00:18:20,320 Speaker 3: out of China because they sort of sorted all the 355 00:18:20,359 --> 00:18:21,040 Speaker 3: problems out. 356 00:18:21,520 --> 00:18:22,840 Speaker 2: But I know exactly what you mean. 357 00:18:22,880 --> 00:18:24,960 Speaker 3: When you do drive a Tesla back to back with 358 00:18:25,359 --> 00:18:28,800 Speaker 3: a German vehicle, generally the German vehicle will field miles 359 00:18:28,840 --> 00:18:32,800 Speaker 3: ahead and far better built and will have conventional features 360 00:18:32,800 --> 00:18:35,879 Speaker 3: that you're kind of familiar with. Tesla really does the 361 00:18:35,920 --> 00:18:38,960 Speaker 3: tech game really well, so I think sort of that's 362 00:18:38,960 --> 00:18:41,600 Speaker 3: where they excel, and I'm curious on that sort of 363 00:18:41,640 --> 00:18:43,840 Speaker 3: innovation front. If we sort of dart over to Crypto. 364 00:18:45,480 --> 00:18:50,560 Speaker 3: Hyundai launched recently an NFT collection, so it was a 365 00:18:50,560 --> 00:18:52,800 Speaker 3: bit of a shit show because they sort of ran 366 00:18:52,880 --> 00:18:56,720 Speaker 3: this collection entirely in Korean basically, so you went into 367 00:18:56,760 --> 00:18:59,159 Speaker 3: their discord and nothing made any sense and it was 368 00:18:59,240 --> 00:19:01,960 Speaker 3: a complete disare do you reckon that we're going to 369 00:19:01,960 --> 00:19:05,040 Speaker 3: see more car companies moving into that metaverse space and 370 00:19:05,400 --> 00:19:07,680 Speaker 3: trying to take advantage of this emerging tech. 371 00:19:08,320 --> 00:19:13,960 Speaker 4: Geez, that's yeah, that's a long bow from where we 372 00:19:14,000 --> 00:19:16,920 Speaker 4: are in n FTS, you know where you know, we've 373 00:19:16,920 --> 00:19:19,240 Speaker 4: got some pretty rudimentary games, We've got some more fancy 374 00:19:19,280 --> 00:19:22,320 Speaker 4: games coming out. We've got people with fancy roll x's, 375 00:19:22,400 --> 00:19:26,200 Speaker 4: which are you know that look like you know, apes, 376 00:19:27,960 --> 00:19:30,200 Speaker 4: rolling around doing all sorts of things, and everyone's got 377 00:19:30,200 --> 00:19:34,320 Speaker 4: their little click But I think we we're a bit 378 00:19:34,359 --> 00:19:37,800 Speaker 4: of a distance from there. I think we accelerated about 379 00:19:37,840 --> 00:19:40,639 Speaker 4: five years closer towards it with COVID. Everyone got a 380 00:19:40,680 --> 00:19:44,480 Speaker 4: lot more digital comfortable with that. We moved even closer 381 00:19:44,520 --> 00:19:45,879 Speaker 4: to the world of electrons that we did to the 382 00:19:45,880 --> 00:19:49,560 Speaker 4: world of atoms, Like we're staring at you know, zoom screens, 383 00:19:49,600 --> 00:19:52,160 Speaker 4: which are really pieces of glass, and we believe that's 384 00:19:52,200 --> 00:19:54,720 Speaker 4: someone and whether or you know that that that whole 385 00:19:54,800 --> 00:19:57,440 Speaker 4: journey you could. It's very easy to go further and 386 00:19:57,480 --> 00:19:59,000 Speaker 4: further and deeper into that mindset. 387 00:19:59,080 --> 00:20:00,359 Speaker 1: Paul doesn't actually exist. 388 00:20:00,760 --> 00:20:03,040 Speaker 4: He's Pulls Pulls. 389 00:20:02,880 --> 00:20:07,720 Speaker 1: He's an annoying piece of AI that they built in 390 00:20:07,920 --> 00:20:13,679 Speaker 1: Czechoslovakia and it just went horribly wrong, and I just 391 00:20:13,760 --> 00:20:14,920 Speaker 1: agreed to take him on board. 392 00:20:15,960 --> 00:20:17,480 Speaker 2: Well, the other complication with. 393 00:20:17,920 --> 00:20:21,159 Speaker 4: I just want to go back on the Tesla thing. Yeah, 394 00:20:21,280 --> 00:20:24,560 Speaker 4: talking about that company. I know one of my friends, 395 00:20:24,560 --> 00:20:29,640 Speaker 4: he he's long Tesla like he obviously owns all the stock, 396 00:20:29,720 --> 00:20:32,359 Speaker 4: but he also owns a He brought a Tesla in 397 00:20:32,359 --> 00:20:35,159 Speaker 4: the US. He saw his company when he was in 398 00:20:35,160 --> 00:20:37,520 Speaker 4: the US, came back to Australia, he's brought another Tesla. 399 00:20:37,600 --> 00:20:39,280 Speaker 4: He's still waiting for it obviously because of you know, 400 00:20:39,320 --> 00:20:44,080 Speaker 4: shipping times. But he has this very deep view that 401 00:20:45,720 --> 00:20:50,720 Speaker 4: Tesla is like the next Apple and we just can't 402 00:20:50,760 --> 00:20:53,520 Speaker 4: see it yet. It's just that the role out time 403 00:20:53,560 --> 00:20:55,920 Speaker 4: for this kind of organization and what it needs to do, 404 00:20:56,400 --> 00:20:59,960 Speaker 4: it takes an enormous amount of time. Like like just 405 00:21:00,160 --> 00:21:03,760 Speaker 4: the sheer size and scope of number of cars and 406 00:21:04,280 --> 00:21:08,000 Speaker 4: metal and you know, full production stuff just just a 407 00:21:08,080 --> 00:21:12,000 Speaker 4: distance from here to there. But you know, if you 408 00:21:12,080 --> 00:21:14,280 Speaker 4: if you now go a few steps in and look 409 00:21:14,320 --> 00:21:16,560 Speaker 4: at some of the things that they are doing are 410 00:21:16,960 --> 00:21:19,680 Speaker 4: pretty out there, Like with their robots. I think they've 411 00:21:19,680 --> 00:21:24,840 Speaker 4: got a release coming out of this first AI robot. 412 00:21:25,080 --> 00:21:28,200 Speaker 4: Like that's like if you, I guess what I'm trying 413 00:21:28,200 --> 00:21:31,399 Speaker 4: to submit is if you go back in time and 414 00:21:31,400 --> 00:21:33,200 Speaker 4: look at Apple and some of the ideas that they 415 00:21:33,400 --> 00:21:38,200 Speaker 4: propose and you know, were pitching and you know, really 416 00:21:38,280 --> 00:21:40,439 Speaker 4: some of these leaps forward that they made and the 417 00:21:40,480 --> 00:21:42,920 Speaker 4: engineering that was that backed it up and the design 418 00:21:42,960 --> 00:21:45,280 Speaker 4: that came along with it. And now you look at 419 00:21:45,320 --> 00:21:48,560 Speaker 4: that from a parallel with Tesla, you know, I think 420 00:21:48,640 --> 00:21:52,120 Speaker 4: they're gonna you know, they've gotten more reliable. But the 421 00:21:52,160 --> 00:21:56,159 Speaker 4: engineering going into that organization, the sheer amount of engineering 422 00:21:57,040 --> 00:21:59,040 Speaker 4: and AI and so you know, I'm talking about it 423 00:21:59,040 --> 00:22:01,760 Speaker 4: when I say engineering not only in the world of atoms, 424 00:22:01,960 --> 00:22:04,320 Speaker 4: you know, and the actual construction of the car, but 425 00:22:04,400 --> 00:22:09,200 Speaker 4: also in the software engineering like those things they take. 426 00:22:09,440 --> 00:22:11,040 Speaker 4: Like when you build a great piece of software, the 427 00:22:11,080 --> 00:22:12,520 Speaker 4: way I see it is, it doesn't just go, oh, 428 00:22:12,520 --> 00:22:14,880 Speaker 4: I'm build a spiece of software and it's done. It's 429 00:22:14,960 --> 00:22:18,639 Speaker 4: like you need the fifth and sixth version before you 430 00:22:18,840 --> 00:22:23,119 Speaker 4: start to get something good and decent happening. And you know, 431 00:22:23,200 --> 00:22:26,040 Speaker 4: like we're the same I've obviously done this many times. 432 00:22:26,080 --> 00:22:28,960 Speaker 4: And there are many systems inside Finder. I'd say we 433 00:22:28,960 --> 00:22:32,479 Speaker 4: were up to version five of the Finder app, for example, 434 00:22:32,520 --> 00:22:34,560 Speaker 4: and it wasn't until five that decided to go Actually 435 00:22:34,560 --> 00:22:37,480 Speaker 4: it's pretty cool. And so what I think is some 436 00:22:37,520 --> 00:22:40,320 Speaker 4: of these systems they just they go, oh, we built this, 437 00:22:40,359 --> 00:22:42,359 Speaker 4: and now like wait, we need to go back and 438 00:22:42,359 --> 00:22:44,960 Speaker 4: overhaul that because we didn't realize this, and you have 439 00:22:45,000 --> 00:22:47,080 Speaker 4: to go back and then you unwind all that stuff, 440 00:22:47,160 --> 00:22:49,760 Speaker 4: rebuild it. And then so if you think about what 441 00:22:49,800 --> 00:22:55,280 Speaker 4: they're proposing self driving cars, and it's fully like electric car, 442 00:22:55,920 --> 00:22:59,199 Speaker 4: it's like, you know, gonna pick you up from the 443 00:22:59,240 --> 00:23:00,879 Speaker 4: airport and take you home and then go out and 444 00:23:01,000 --> 00:23:03,800 Speaker 4: potentially make money for you. I actually don't think you know, 445 00:23:04,080 --> 00:23:06,399 Speaker 4: that idea is a big idea, right you know, Yeah, 446 00:23:06,440 --> 00:23:09,000 Speaker 4: but that kind of vision I think just takes ten 447 00:23:10,240 --> 00:23:12,640 Speaker 4: years to do or something like that. And you think 448 00:23:12,680 --> 00:23:15,399 Speaker 4: about look at you know, Apple's what started in the seventies. 449 00:23:16,000 --> 00:23:19,360 Speaker 4: It's like had a lot of time to like make 450 00:23:19,440 --> 00:23:22,439 Speaker 4: the crazy products it's made. But think of all the 451 00:23:22,480 --> 00:23:24,520 Speaker 4: engineering that had to go in order to go toward 452 00:23:24,560 --> 00:23:26,840 Speaker 4: that journey. I think Tesla's on that path and a 453 00:23:26,840 --> 00:23:29,960 Speaker 4: lot of the value is unrealized and not seen by 454 00:23:30,000 --> 00:23:32,680 Speaker 4: its end product and customers, and so I think they're 455 00:23:32,680 --> 00:23:35,600 Speaker 4: going to get better will and I think there is 456 00:23:35,960 --> 00:23:39,000 Speaker 4: a ball case there for it being the default car. 457 00:23:39,200 --> 00:23:42,359 Speaker 1: Yeah, I think you're right with like the whole Apple comparison. 458 00:23:42,400 --> 00:23:44,600 Speaker 1: Like if you look at electric cars, the way I 459 00:23:44,640 --> 00:23:46,439 Speaker 1: look at it at the moment is you've got a 460 00:23:46,480 --> 00:23:49,199 Speaker 1: line where you've got sort of electric cars you know 461 00:23:49,240 --> 00:23:50,920 Speaker 1: other car brands do and that kind of thing, and 462 00:23:51,280 --> 00:23:54,280 Speaker 1: then you've got Tesla, who are completely, in my view, 463 00:23:54,280 --> 00:23:55,920 Speaker 1: in their own legue. And it was funny where you're 464 00:23:56,080 --> 00:23:59,879 Speaker 1: saying with the driving experience, because at first it feels 465 00:24:00,119 --> 00:24:03,480 Speaker 1: so artificial compared to what we're used to, and then 466 00:24:03,640 --> 00:24:05,520 Speaker 1: it still sort of sits in a league of its own. 467 00:24:05,560 --> 00:24:08,639 Speaker 1: It's a middimalisted. Almost everyone will generally say with their 468 00:24:08,680 --> 00:24:11,320 Speaker 1: first drive, it feels like I'm driving a laptop, not 469 00:24:11,400 --> 00:24:14,120 Speaker 1: a car. But then you look at the other side, 470 00:24:14,160 --> 00:24:16,479 Speaker 1: with electric cars that are still sort of even designed, 471 00:24:16,560 --> 00:24:18,719 Speaker 1: like say the interior for instance, you know a lot 472 00:24:18,760 --> 00:24:22,000 Speaker 1: of time has been put into like still you know, 473 00:24:22,160 --> 00:24:25,440 Speaker 1: dials and buttons here and changing that up and all 474 00:24:25,440 --> 00:24:29,240 Speaker 1: that sort of stuff. But the the Tesla is literally 475 00:24:29,320 --> 00:24:34,560 Speaker 1: feels like Apple versus Android. It's really weird. But yeah, yeah, 476 00:24:34,600 --> 00:24:37,199 Speaker 1: and it's crazy to think what's coming out like and 477 00:24:37,240 --> 00:24:39,439 Speaker 1: what the next ten to twenty years holds. 478 00:24:39,480 --> 00:24:46,800 Speaker 4: I had to buy a second car, and at the 479 00:24:46,840 --> 00:24:49,320 Speaker 4: time we were living with an apartment with a car 480 00:24:49,320 --> 00:24:53,439 Speaker 4: STACKO so I had to stack two cars and so, 481 00:24:54,720 --> 00:24:57,119 Speaker 4: you know, how to constraint. I think I would have 482 00:24:57,119 --> 00:24:59,520 Speaker 4: bought a Tesla if I was on if it wasn't 483 00:24:59,520 --> 00:25:02,439 Speaker 4: on the stack, because but that's that's an issue. The 484 00:25:02,480 --> 00:25:05,360 Speaker 4: car itself is like two tons plus. 485 00:25:05,080 --> 00:25:06,600 Speaker 2: Or even stackers are a disaster. 486 00:25:06,960 --> 00:25:10,320 Speaker 4: Yeah, So so I was like, oh, I don't want 487 00:25:10,320 --> 00:25:12,080 Speaker 4: to put it, you know, a Tesla on a stacker. 488 00:25:12,119 --> 00:25:17,000 Speaker 4: That's like I'm signing myself up for trouble. So I 489 00:25:17,119 --> 00:25:21,200 Speaker 4: kind of saw it as a hedge. I went to 490 00:25:21,200 --> 00:25:24,040 Speaker 4: the petrol car in that case, I want them car. 491 00:25:24,080 --> 00:25:27,760 Speaker 4: And actually the McCarn again a great car. Unbelievable drive, 492 00:25:28,200 --> 00:25:31,640 Speaker 4: I'd say, actually, with his visibility and everything, I think 493 00:25:31,920 --> 00:25:33,440 Speaker 4: got to be one of the best drives. I don't 494 00:25:33,440 --> 00:25:35,920 Speaker 4: know what they've done there, But just from that perspective, 495 00:25:35,960 --> 00:25:37,840 Speaker 4: feel safe because it's nice and high you can see things. 496 00:25:37,960 --> 00:25:40,679 Speaker 4: But it just feels great and it's not huge, not massive. 497 00:25:40,800 --> 00:25:43,800 Speaker 4: Ye fits into spots you can you can put five 498 00:25:43,840 --> 00:25:46,120 Speaker 4: in and it's got a little boot. 499 00:25:46,000 --> 00:25:47,359 Speaker 1: You can dart around. It's great. 500 00:25:47,440 --> 00:25:52,920 Speaker 4: Yeah, amazing, amazing little vehicle. Love it reliable as well, 501 00:25:54,720 --> 00:25:56,760 Speaker 4: But I think I would have probably gone and taken 502 00:25:56,800 --> 00:26:00,760 Speaker 4: a punt on a Tesla. I just yeah, because of weight. 503 00:26:01,000 --> 00:26:01,919 Speaker 4: That was one of the issues. 504 00:26:02,160 --> 00:26:05,119 Speaker 1: Do you reckon with cars? I feel like investing in 505 00:26:05,160 --> 00:26:08,440 Speaker 1: cars is very similar in some ways to investing in crypto, 506 00:26:08,520 --> 00:26:10,400 Speaker 1: Like there's an art. I don't know much about investing 507 00:26:10,440 --> 00:26:13,480 Speaker 1: in crypto, but there is an art versus science to it. 508 00:26:13,440 --> 00:26:17,400 Speaker 4: Right, Yeah, I think you know, you're looking at the 509 00:26:18,160 --> 00:26:22,640 Speaker 4: trajectory in this case of the team of Tesla, and 510 00:26:22,760 --> 00:26:23,960 Speaker 4: you know, what are they going to roll out, what 511 00:26:23,960 --> 00:26:25,840 Speaker 4: are they going to bring, what's the software? Because it 512 00:26:25,920 --> 00:26:28,080 Speaker 4: going to deliver? Like is it going to deliver this? 513 00:26:28,200 --> 00:26:30,320 Speaker 4: Yes or no? And you're just kind of taking a 514 00:26:30,359 --> 00:26:33,359 Speaker 4: punt with the hardware, which is kind of like owning 515 00:26:33,359 --> 00:26:35,280 Speaker 4: the coin in a way, and you're like, will this 516 00:26:35,359 --> 00:26:37,720 Speaker 4: project deliver or not is basically what you do in crypto, 517 00:26:38,040 --> 00:26:38,399 Speaker 4: and if it. 518 00:26:38,400 --> 00:26:42,000 Speaker 2: Does really good comparison that if it does. 519 00:26:41,880 --> 00:26:44,720 Speaker 4: Deliver on you know, you're going to get massive upside. 520 00:26:44,760 --> 00:26:48,600 Speaker 4: And I think that would, yeah, definitely happen with the Tesla. 521 00:26:48,600 --> 00:26:51,640 Speaker 4: And again I I think I would have gone there. 522 00:26:51,680 --> 00:26:55,040 Speaker 4: I just yeah, it wasn't wasn't the right time. 523 00:26:55,560 --> 00:26:58,359 Speaker 3: Now's your time to jump in because Model Why has 524 00:26:58,440 --> 00:27:02,040 Speaker 3: just gone on sale in Australia fits it's literally nineteen 525 00:27:02,119 --> 00:27:05,080 Speaker 3: hundred and eighty kilograms, so if your stacker is still 526 00:27:05,119 --> 00:27:07,720 Speaker 3: a condition, it'll probably sort that out. But I love 527 00:27:07,760 --> 00:27:11,320 Speaker 3: that comparison to it being a crypto project, and there 528 00:27:11,359 --> 00:27:14,359 Speaker 3: has been so much upside for early investors. When we 529 00:27:14,400 --> 00:27:17,280 Speaker 3: bought our first Model three, I bought Tesla shares at 530 00:27:17,320 --> 00:27:19,360 Speaker 3: like two hundred dollars. This is before the four way 531 00:27:19,400 --> 00:27:22,920 Speaker 3: stock split, and it basically started going backwards and I 532 00:27:23,000 --> 00:27:25,680 Speaker 3: chickened out at like one seventy five and sold. Had 533 00:27:25,720 --> 00:27:28,320 Speaker 3: I have held them, they'd be worth the equivalent pre 534 00:27:28,440 --> 00:27:31,040 Speaker 3: split of like four thousand dollars now. And I think 535 00:27:31,080 --> 00:27:33,720 Speaker 3: that you have to go with your gut. And if 536 00:27:33,800 --> 00:27:35,560 Speaker 3: I had have listened to my gut back then, it 537 00:27:35,600 --> 00:27:37,600 Speaker 3: would have said exactly what you said that this is 538 00:27:37,640 --> 00:27:40,520 Speaker 3: a company that has this long roadmap, they have this 539 00:27:40,600 --> 00:27:43,520 Speaker 3: really innovative plan, and I think when you look at 540 00:27:43,560 --> 00:27:46,680 Speaker 3: who's leading it, Elon Musk, like the guy is in 541 00:27:46,720 --> 00:27:49,640 Speaker 3: some cases an absolute nut job, but he is. He's 542 00:27:49,680 --> 00:27:52,080 Speaker 3: one of the smartest guys out there, and he really 543 00:27:52,240 --> 00:27:55,880 Speaker 3: just knows his shit and really knows how to hire 544 00:27:55,920 --> 00:27:57,840 Speaker 3: the right people to get the outcome that he wants 545 00:27:57,840 --> 00:27:59,240 Speaker 3: from these companies that he's involved in. 546 00:28:00,359 --> 00:28:05,240 Speaker 4: One of the things that is undervalued when someone looks 547 00:28:05,240 --> 00:28:08,000 Speaker 4: at a big promise and they look at a software company, 548 00:28:08,600 --> 00:28:13,560 Speaker 4: is the actual delivery of what is promised is assumed? 549 00:28:13,760 --> 00:28:18,320 Speaker 4: But I actually don't think it is. And let's say 550 00:28:18,520 --> 00:28:21,080 Speaker 4: I want to get a car to self drive around 551 00:28:21,160 --> 00:28:26,480 Speaker 4: that the number of variables involved in that, let alone 552 00:28:26,480 --> 00:28:29,600 Speaker 4: getting the code to execute and an update and you know, 553 00:28:29,680 --> 00:28:32,680 Speaker 4: and actually deliver a version one and not you know, 554 00:28:32,800 --> 00:28:35,000 Speaker 4: and not get shut down to some extent. Like I 555 00:28:35,040 --> 00:28:38,400 Speaker 4: think there's I guess what I what I think about 556 00:28:38,400 --> 00:28:42,520 Speaker 4: when I think of Elin is he's a good investment 557 00:28:43,040 --> 00:28:45,360 Speaker 4: in terms of giving him money to go and deliver 558 00:28:45,400 --> 00:28:48,479 Speaker 4: a software project and actually it potentially delivering with a 559 00:28:48,600 --> 00:28:52,360 Speaker 4: very low percentage outcome of it actually happening. In other words, 560 00:28:52,560 --> 00:28:55,840 Speaker 4: here's a super high risky thing to do, and let's 561 00:28:55,840 --> 00:28:57,600 Speaker 4: give it to this guy because he tends to deliver. 562 00:28:57,920 --> 00:29:00,960 Speaker 1: Oh man, he's building a did you is he still 563 00:29:01,000 --> 00:29:04,479 Speaker 1: doing that? Building a tunnel under Ala? Have you heard that? 564 00:29:04,640 --> 00:29:06,160 Speaker 1: The hyphens? 565 00:29:06,960 --> 00:29:09,680 Speaker 3: Yeah, and he's got the boring company as well. That 566 00:29:09,800 --> 00:29:11,560 Speaker 3: kind of makes a little less sense to me because 567 00:29:11,600 --> 00:29:14,280 Speaker 3: the whole concept is you drive your autonomous tesla in there, 568 00:29:14,280 --> 00:29:15,640 Speaker 3: and it takes you from one end to the other. 569 00:29:15,720 --> 00:29:18,360 Speaker 3: But if it's like any tunnel I've been in during 570 00:29:18,400 --> 00:29:21,000 Speaker 3: peak hour, there the shitts places to be because you 571 00:29:21,040 --> 00:29:23,520 Speaker 3: basically sit there with all this other traffic and it 572 00:29:23,560 --> 00:29:26,280 Speaker 3: has to exit at another end. So unless it exits 573 00:29:26,280 --> 00:29:28,600 Speaker 3: into an empty area, you just end up in the 574 00:29:28,680 --> 00:29:31,440 Speaker 3: same It is just a tunnel. So I think his 575 00:29:31,560 --> 00:29:35,440 Speaker 3: innovation is the cost reduction and the engineering behind being 576 00:29:35,440 --> 00:29:37,720 Speaker 3: able to produce these tunnels, and the fact that you 577 00:29:37,760 --> 00:29:40,720 Speaker 3: don't need the same level of fire suppression that you 578 00:29:40,760 --> 00:29:43,880 Speaker 3: would in a tunnel with internal combustion cars because it 579 00:29:43,880 --> 00:29:46,040 Speaker 3: would just be fre evs totally. 580 00:29:47,520 --> 00:29:49,040 Speaker 1: This is probably where I should jump in and say 581 00:29:49,040 --> 00:29:49,840 Speaker 1: something intelligent. 582 00:29:49,960 --> 00:29:51,120 Speaker 2: I'm not going to hold my breath. 583 00:29:54,880 --> 00:29:57,480 Speaker 1: Freend's like, I don't know how to trying to belied, 584 00:29:57,480 --> 00:29:58,560 Speaker 1: but Jesus, he's right. 585 00:29:59,120 --> 00:30:02,959 Speaker 2: Yeah, what is what is next for you? 586 00:30:03,040 --> 00:30:05,160 Speaker 3: I mean I was having a look and you're in 587 00:30:05,200 --> 00:30:10,440 Speaker 3: the top one hundred innovators. What is next for Finder? 588 00:30:10,480 --> 00:30:12,280 Speaker 3: On the innovation side? I know you guys have sort 589 00:30:12,320 --> 00:30:16,120 Speaker 3: of now launched into that crypto space. Are you finding 590 00:30:16,160 --> 00:30:18,560 Speaker 3: that Finder is evolving all the time in terms of 591 00:30:18,600 --> 00:30:21,040 Speaker 3: what you want from it and what people come to 592 00:30:21,080 --> 00:30:21,960 Speaker 3: expect from it as well. 593 00:30:22,360 --> 00:30:26,200 Speaker 4: I don't think people yet expect us to deliver on 594 00:30:26,240 --> 00:30:29,120 Speaker 4: this crypture stuff. I think people in crypto do. They're like, oh, 595 00:30:29,240 --> 00:30:31,400 Speaker 4: you know, that's fine. Yeah, they're in crypto. That's cool. 596 00:30:31,800 --> 00:30:34,240 Speaker 4: But I don't think that there's like a broader audience 597 00:30:34,360 --> 00:30:37,400 Speaker 4: yet that sort of cuss that. But that's good. I 598 00:30:37,480 --> 00:30:40,000 Speaker 4: prefer that because it just allows us more time to 599 00:30:40,040 --> 00:30:45,040 Speaker 4: make our product insanely even better. I think that's what 600 00:30:45,080 --> 00:30:48,160 Speaker 4: we've evolved from is I think if you go back 601 00:30:48,200 --> 00:30:51,320 Speaker 4: in time, Find it was really maybe even say three 602 00:30:51,440 --> 00:30:54,080 Speaker 4: or four years, it was really just a i'd a 603 00:30:54,480 --> 00:30:59,120 Speaker 4: largely a media and publishing company that's a being straight. 604 00:31:00,040 --> 00:31:04,040 Speaker 4: I don't think you would see it as a technology company. Now, 605 00:31:04,480 --> 00:31:09,360 Speaker 4: I would say you would definitely rethink that with the 606 00:31:09,400 --> 00:31:12,640 Speaker 4: things we've built and the things we are working on 607 00:31:12,720 --> 00:31:16,640 Speaker 4: and building at this point in time. You know, we've 608 00:31:16,680 --> 00:31:20,640 Speaker 4: got you know, many many millions of dollars under management 609 00:31:22,360 --> 00:31:24,800 Speaker 4: in Finder. Now people give you know, they have a wallet, 610 00:31:24,800 --> 00:31:28,200 Speaker 4: and people deposit money. You know, we have security around that. 611 00:31:29,360 --> 00:31:31,520 Speaker 4: We you know, all these kinds of things that we 612 00:31:31,680 --> 00:31:35,400 Speaker 4: never did before, and now we've learned to really smooth 613 00:31:35,480 --> 00:31:39,160 Speaker 4: and make much much, much, much much easier. So I 614 00:31:39,200 --> 00:31:42,280 Speaker 4: think the way I kind of zoom out and I 615 00:31:42,360 --> 00:31:45,719 Speaker 4: and I think of where things are going and I 616 00:31:45,760 --> 00:31:47,320 Speaker 4: try I try to sort of predict what's going to 617 00:31:47,360 --> 00:31:50,920 Speaker 4: be next, and that's not the easiest thing to do, right, 618 00:31:51,000 --> 00:31:57,280 Speaker 4: But you know, I think that people have now gone 619 00:31:57,280 --> 00:32:04,400 Speaker 4: from wanting yield to they're pretty scared about inflation, and 620 00:32:05,120 --> 00:32:10,520 Speaker 4: so I think this idea of owning assets is in 621 00:32:10,520 --> 00:32:12,520 Speaker 4: some way shape or form, you know, if it's companies. 622 00:32:12,640 --> 00:32:16,760 Speaker 4: I think Crypto has survived another you know hit and 623 00:32:16,800 --> 00:32:19,520 Speaker 4: then sort of fill, but it's now still above the 624 00:32:19,560 --> 00:32:22,160 Speaker 4: all time high that it was before, and no matter 625 00:32:22,160 --> 00:32:24,320 Speaker 4: how much of because they are, it's dead. Well, I 626 00:32:24,320 --> 00:32:27,440 Speaker 4: think everyone who's sold or when it had that huge 627 00:32:27,520 --> 00:32:31,040 Speaker 4: job and it went so super crazy, I think everyone 628 00:32:31,080 --> 00:32:32,600 Speaker 4: who had to sell sold. 629 00:32:32,880 --> 00:32:34,120 Speaker 2: Yeah, and exactly, I. 630 00:32:34,120 --> 00:32:38,800 Speaker 4: Think, well, there's no more sellers left, and so there's 631 00:32:38,800 --> 00:32:40,800 Speaker 4: a really interesting, you know, point in time where I 632 00:32:40,840 --> 00:32:44,120 Speaker 4: think you can look at that now and you go, well, factually, 633 00:32:44,720 --> 00:32:47,040 Speaker 4: regardless of wherever you think it's going, all over it's doing. 634 00:32:47,120 --> 00:32:50,000 Speaker 4: It's above the all time high the last time. Like 635 00:32:50,360 --> 00:32:52,840 Speaker 4: that's means that if you've bought the old time high 636 00:32:52,920 --> 00:32:55,080 Speaker 4: last time, you're still up. That's a good thing, right, 637 00:32:55,480 --> 00:32:56,880 Speaker 4: that's a that's a that's a big deal. 638 00:32:57,560 --> 00:32:58,560 Speaker 1: Sorry, keep going, No. 639 00:32:58,680 --> 00:33:01,760 Speaker 4: I think I think, you know, this rising interest rates 640 00:33:01,760 --> 00:33:05,719 Speaker 4: I think is a very interesting dynamic and where I 641 00:33:05,720 --> 00:33:08,960 Speaker 4: think it's kind of turning to and what I'm thinking about, 642 00:33:10,080 --> 00:33:12,200 Speaker 4: you know, now that there's sort of this investment boom 643 00:33:12,360 --> 00:33:15,440 Speaker 4: has sort of calmed down, I think saving money, you know, 644 00:33:15,480 --> 00:33:17,120 Speaker 4: that was really where Finder came from. I think it's 645 00:33:17,160 --> 00:33:20,120 Speaker 4: becoming cooler again, Like people want to save money on energy, 646 00:33:20,240 --> 00:33:23,040 Speaker 4: on their loans, on their health insurance. I think that's 647 00:33:23,320 --> 00:33:26,680 Speaker 4: been our core business and that's that's definitely seen a 648 00:33:26,720 --> 00:33:29,840 Speaker 4: lot more interest of recent But I think there's another 649 00:33:29,880 --> 00:33:32,360 Speaker 4: part that I think a lot of people are looking 650 00:33:32,400 --> 00:33:35,320 Speaker 4: at right now is because you've got this change now 651 00:33:35,360 --> 00:33:40,600 Speaker 4: of people, you know, being at home and working digitally 652 00:33:41,640 --> 00:33:44,800 Speaker 4: and being perfectly kind fine with that. But they've suddenly 653 00:33:44,840 --> 00:33:48,520 Speaker 4: now got I don't know, two to three more hours, 654 00:33:48,920 --> 00:33:51,640 Speaker 4: and I feel like everyone's confused. Everyone's like, oh, I've 655 00:33:51,720 --> 00:33:53,760 Speaker 4: just got this extra time and I've done my thing, 656 00:33:53,840 --> 00:33:57,920 Speaker 4: and now what do I do now? And so I 657 00:33:57,960 --> 00:34:02,640 Speaker 4: think there's this time now where everyone's okay, everyone's sort 658 00:34:02,640 --> 00:34:05,160 Speaker 4: of binged out now, and all their streaming channels they're 659 00:34:05,240 --> 00:34:08,640 Speaker 4: kind of bared now with that they've they've they've they're 660 00:34:08,640 --> 00:34:10,560 Speaker 4: beinging up podcast but like great ones like this. 661 00:34:11,560 --> 00:34:15,439 Speaker 1: And where you see that for the promo they are 662 00:34:16,640 --> 00:34:16,920 Speaker 1: And I. 663 00:34:16,840 --> 00:34:19,279 Speaker 4: Think podcasts in a massive way that and it is 664 00:34:19,400 --> 00:34:22,239 Speaker 4: on a massive inflection curve up and I think it's 665 00:34:22,360 --> 00:34:25,840 Speaker 4: great in an emerging space. But I also think what 666 00:34:25,880 --> 00:34:28,000 Speaker 4: they're doing is they're a beaches done on social media. 667 00:34:28,000 --> 00:34:30,680 Speaker 4: They're a bit done. They're like, oh jeez, I've scrawled enough, 668 00:34:31,000 --> 00:34:33,080 Speaker 4: you know, I understand this stuff hooks me in, and 669 00:34:33,120 --> 00:34:35,960 Speaker 4: then they're kind of going, okay, now I still have 670 00:34:35,960 --> 00:34:40,040 Speaker 4: done all that. Now, still got another hour. And I 671 00:34:40,040 --> 00:34:43,239 Speaker 4: think in that hour, you know, where people are kind 672 00:34:43,280 --> 00:34:45,719 Speaker 4: of eventually getting to. And I could be wrong on this, 673 00:34:45,760 --> 00:34:48,719 Speaker 4: but this is my future prediction is they're going to 674 00:34:48,760 --> 00:34:52,279 Speaker 4: work on themselves and because that's the best investment you 675 00:34:52,280 --> 00:34:53,920 Speaker 4: can make, right, So that's going to stay with you 676 00:34:54,000 --> 00:34:59,279 Speaker 4: for significant periods of time, learning something, working out in 677 00:34:59,280 --> 00:35:03,399 Speaker 4: some way shape orfore, working out something which you've always 678 00:35:03,440 --> 00:35:05,600 Speaker 4: wanted to know that will help you fundamentally with the 679 00:35:05,640 --> 00:35:08,080 Speaker 4: next thing you're doing, or earning a little bit of 680 00:35:08,120 --> 00:35:12,879 Speaker 4: extra money to repay something, or whatever it may be. 681 00:35:14,120 --> 00:35:19,240 Speaker 4: So I've got this theory of this this this this hour, 682 00:35:19,480 --> 00:35:22,520 Speaker 4: this spare hour everyone's got, and I don't know what 683 00:35:22,560 --> 00:35:25,920 Speaker 4: I'm going to make, but I've come up with some ideas. 684 00:35:25,920 --> 00:35:28,239 Speaker 4: But it's going to be something either where people can 685 00:35:28,280 --> 00:35:30,440 Speaker 4: earn a bit of extra money by doing some relatively 686 00:35:30,480 --> 00:35:34,480 Speaker 4: simple things or improve that learn something and get paid 687 00:35:34,520 --> 00:35:37,919 Speaker 4: for it, or something along those lines, because I think 688 00:35:38,000 --> 00:35:41,279 Speaker 4: that's the new space. It's the extra hour everyone's got 689 00:35:41,760 --> 00:35:44,840 Speaker 4: after they've been shot on everything else. I've taken up 690 00:35:44,840 --> 00:35:48,200 Speaker 4: playing chess, which I love that, which is you know, 691 00:35:48,520 --> 00:35:54,400 Speaker 4: probably completely orthogonal to you know, building companies. 692 00:35:54,400 --> 00:35:56,400 Speaker 1: But but yeah, yeah, was that something that you picked 693 00:35:56,440 --> 00:35:58,360 Speaker 1: back up or was it like I'm just going to 694 00:35:58,440 --> 00:35:59,120 Speaker 1: learn a new skill. 695 00:35:59,360 --> 00:36:03,040 Speaker 4: I used to played chess. Actually this is a damaging confession, 696 00:36:03,080 --> 00:36:05,120 Speaker 4: but I was the captain of my chest, of the 697 00:36:05,200 --> 00:36:08,839 Speaker 4: of the chess team I played. I literally played board one. 698 00:36:09,880 --> 00:36:11,000 Speaker 1: What does that mean? Is that good? 699 00:36:11,120 --> 00:36:15,239 Speaker 4: The first board? So there's like, you know, you know, 700 00:36:15,520 --> 00:36:18,960 Speaker 4: four people on the team and I played the first board. 701 00:36:19,000 --> 00:36:20,560 Speaker 4: So you play the hardest player. 702 00:36:20,719 --> 00:36:24,160 Speaker 1: Okay, So I saw the movie Finding Bobby Fisher once. 703 00:36:24,160 --> 00:36:26,040 Speaker 1: I think that's I think that's chess. I think I 704 00:36:26,040 --> 00:36:26,760 Speaker 1: get what you're saying. 705 00:36:27,200 --> 00:36:31,799 Speaker 4: So there's recently there's been the World Championship with the Olympiads, 706 00:36:31,880 --> 00:36:34,279 Speaker 4: so that so all the company countries play against each 707 00:36:34,280 --> 00:36:36,920 Speaker 4: other the top four boards of every country. Actually Australia 708 00:36:36,960 --> 00:36:42,800 Speaker 4: had a team of the best performance. But and it's 709 00:36:42,920 --> 00:36:45,400 Speaker 4: you need to obviously, when you play four boards, you 710 00:36:45,400 --> 00:36:47,120 Speaker 4: need to. Like any game, you know, you need to 711 00:36:47,280 --> 00:36:49,560 Speaker 4: get one point for winning half a board for drawing, 712 00:36:49,600 --> 00:36:51,960 Speaker 4: and you know you lose your zero, and you need 713 00:36:51,960 --> 00:36:56,279 Speaker 4: to beat everyone. And it was something which I you know, 714 00:36:56,320 --> 00:36:59,719 Speaker 4: I was in a you know, people who was academically 715 00:36:59,760 --> 00:37:02,799 Speaker 4: smart than me, I could beat them in chess. For 716 00:37:02,840 --> 00:37:07,120 Speaker 4: some reason, like they had different smarts, whereas I could 717 00:37:07,160 --> 00:37:09,680 Speaker 4: like see into the future on the board and go look, 718 00:37:09,960 --> 00:37:11,839 Speaker 4: and I'd look and I see that move and I go, man, 719 00:37:11,840 --> 00:37:15,799 Speaker 4: you're so smart and you did that, Like like why 720 00:37:15,840 --> 00:37:18,000 Speaker 4: am I not able to do what you do? You know, 721 00:37:18,080 --> 00:37:20,560 Speaker 4: like he's probably looking at me, going, man, I did 722 00:37:20,560 --> 00:37:22,880 Speaker 4: my tests or whatever. He's like, you did that. 723 00:37:23,280 --> 00:37:25,560 Speaker 1: You know, Hey, one last thing because we've got to 724 00:37:25,560 --> 00:37:27,719 Speaker 1: wrap up in a sec. We're getting kicked out. With 725 00:37:27,800 --> 00:37:31,160 Speaker 1: what you do and what you've created, it's got serious longevity. 726 00:37:31,239 --> 00:37:33,719 Speaker 1: Is that your Is that your legacy or like what 727 00:37:33,760 --> 00:37:35,279 Speaker 1: would you like to your legacy to be. 728 00:37:36,080 --> 00:37:40,239 Speaker 4: That's a great question. It's something which is actually very Yeah, 729 00:37:40,239 --> 00:37:43,680 Speaker 4: I'm very passionate about his legacy and leaving leaving something 730 00:37:43,719 --> 00:37:46,879 Speaker 4: and creating something that will help people for a long 731 00:37:46,880 --> 00:37:49,160 Speaker 4: period of time. And when I think about that, you know, 732 00:37:49,800 --> 00:37:53,840 Speaker 4: what I'm trying to do is my ultimate goal is 733 00:37:53,880 --> 00:37:58,839 Speaker 4: to plant trees that I will never experience or see 734 00:37:58,840 --> 00:38:02,080 Speaker 4: the shade of for other people to benefit from and 735 00:38:02,120 --> 00:38:04,959 Speaker 4: in some small way, maybe you know, if that's helping 736 00:38:05,000 --> 00:38:07,160 Speaker 4: people save a bit of money, make a bit of money. 737 00:38:07,160 --> 00:38:08,719 Speaker 4: And I don't know all the things that are kind 738 00:38:08,719 --> 00:38:11,440 Speaker 4: to come from that. But I'm just hoping that those 739 00:38:11,560 --> 00:38:15,880 Speaker 4: things that I've created and helped people do, they create 740 00:38:16,800 --> 00:38:19,920 Speaker 4: not only what's happening now, but into the future a 741 00:38:19,960 --> 00:38:24,640 Speaker 4: significant lift in their life and their families, lives and 742 00:38:24,640 --> 00:38:25,520 Speaker 4: things like that. 743 00:38:25,520 --> 00:38:27,480 Speaker 1: That's what I love about Freddie champions people. 744 00:38:27,520 --> 00:38:29,440 Speaker 2: You know, Yeah, well that's what you got to do. 745 00:38:29,560 --> 00:38:32,759 Speaker 3: I mean, the best companies are there to exist to 746 00:38:32,760 --> 00:38:36,080 Speaker 3: help people, and that's how you end up being successful. 747 00:38:36,280 --> 00:38:38,160 Speaker 3: It's got to be about everyone else and then the 748 00:38:38,160 --> 00:38:38,720 Speaker 3: money comes. 749 00:38:38,800 --> 00:38:40,359 Speaker 1: Man, Thank you for coming in. By the way, man, 750 00:38:40,400 --> 00:38:41,279 Speaker 1: I really appreciate it. 751 00:38:41,280 --> 00:38:46,000 Speaker 4: Thanks for the opportunity and appreciate you guys are putting 752 00:38:46,040 --> 00:38:48,799 Speaker 4: on this podcast because I think it's awesome and everyone 753 00:38:48,800 --> 00:38:50,240 Speaker 4: who's listening, these guys are cool. 754 00:38:51,320 --> 00:38:53,640 Speaker 1: So that was fred What a legend. 755 00:38:54,560 --> 00:38:55,160 Speaker 2: He's awesome. 756 00:38:55,200 --> 00:38:59,239 Speaker 3: So I love the fact that he's into crypto and NFTs. 757 00:38:59,320 --> 00:39:01,279 Speaker 2: I love that he's in tech and all that sort 758 00:39:01,320 --> 00:39:01,720 Speaker 2: of stuff. 759 00:39:02,040 --> 00:39:04,880 Speaker 3: And if you haven't seen what he looks like, please 760 00:39:04,920 --> 00:39:07,680 Speaker 3: go to our Instagram page and just have a look 761 00:39:07,680 --> 00:39:08,200 Speaker 3: at the picture. 762 00:39:08,320 --> 00:39:10,399 Speaker 1: I shouldn't say this, but Paul has a. 763 00:39:10,360 --> 00:39:14,880 Speaker 3: Stiffy I'm just jealous of his hair and just the 764 00:39:15,520 --> 00:39:18,799 Speaker 3: style that's going on there, although my style. 765 00:39:18,560 --> 00:39:19,080 Speaker 2: Is is. 766 00:39:21,880 --> 00:39:29,080 Speaker 1: It's forty eight year old father of four Paul actually, 767 00:39:29,800 --> 00:39:32,680 Speaker 1: since that chat has a photo of Fred next to 768 00:39:32,719 --> 00:39:37,520 Speaker 1: his bed. When his wife says, do you think we 769 00:39:37,560 --> 00:39:41,960 Speaker 1: should have another child? Paul just pushes her away and 770 00:39:42,320 --> 00:39:45,080 Speaker 1: kisses the photo of Fred and then proceeds to sing 771 00:39:45,320 --> 00:39:53,840 Speaker 1: Whitney Houston's I Will Always Love You? Which can you? 772 00:39:54,120 --> 00:39:56,440 Speaker 3: If you're listening to this, make sure you leave us 773 00:39:56,440 --> 00:39:59,359 Speaker 3: a rating on whichever platform you're listening to this, and 774 00:40:00,080 --> 00:40:00,919 Speaker 3: just so what you think of the show. 775 00:40:01,000 --> 00:40:02,480 Speaker 2: Contacted the driveshow dot com today. 776 00:40:02,560 --> 00:40:04,239 Speaker 3: You let us know if there's anything else you want 777 00:40:04,280 --> 00:40:06,919 Speaker 3: us to be covering that we're not covering. Who you'd 778 00:40:07,000 --> 00:40:10,320 Speaker 3: like to have host the show instead of Gordy send. 779 00:40:10,200 --> 00:40:12,799 Speaker 1: Us an email. Contacted the drive Show dot com dot 780 00:40:12,800 --> 00:40:17,319 Speaker 1: au like rate, subscribe, share, tell your mom I'm available 781 00:40:18,239 --> 00:40:19,719 Speaker 1: and do all that sort of stuff that would be 782 00:40:19,760 --> 00:40:23,799 Speaker 1: really nice and any suggestions we love. Please get rid 783 00:40:23,840 --> 00:40:24,160 Speaker 1: of Paul