1 00:00:05,200 --> 00:00:07,920 Speaker 1: This is what the Flux. I'm brad and an't justin. 2 00:00:08,000 --> 00:00:10,800 Speaker 1: That's Wednesday, the twenty fifth of March. We have spent 3 00:00:10,960 --> 00:00:13,960 Speaker 1: months talking about inflation. Probably a sneaky cousin has just 4 00:00:14,040 --> 00:00:17,680 Speaker 1: walked back into the room. You can shrink inflation in particular. 5 00:00:17,800 --> 00:00:20,120 Speaker 1: Cadbury's out here playing a bit of chocolate hide and seek. 6 00:00:20,200 --> 00:00:22,920 Speaker 1: The Cadbury Biscoff has quietly slimmed down in size by 7 00:00:22,960 --> 00:00:26,040 Speaker 1: five point five percent, so the price has remained the same. 8 00:00:26,079 --> 00:00:28,479 Speaker 1: And as for old Easter eggs, well, they've gone from 9 00:00:28,480 --> 00:00:30,400 Speaker 1: a twenty four pack to a twenty pack while the 10 00:00:30,440 --> 00:00:32,159 Speaker 1: price has jumped more than forty percent. 11 00:00:32,320 --> 00:00:35,479 Speaker 2: Official chocolate is out of the budget. Yeah, as we 12 00:00:35,479 --> 00:00:36,960 Speaker 2: get to the end of the month, now is the 13 00:00:37,000 --> 00:00:39,040 Speaker 2: time where you want to be checking your credit score. 14 00:00:39,080 --> 00:00:40,640 Speaker 2: Has your credit score going up this month? Has it 15 00:00:40,720 --> 00:00:42,960 Speaker 2: gone down? Have you been making your repayments on time? 16 00:00:43,040 --> 00:00:44,920 Speaker 2: If you don't know your credit score, the Flux app 17 00:00:45,000 --> 00:00:46,919 Speaker 2: is the place to see your credit score and all 18 00:00:47,000 --> 00:00:49,040 Speaker 2: your payments in the one spots. Make sure to download 19 00:00:49,040 --> 00:00:49,920 Speaker 2: the app and check it out. 20 00:00:50,000 --> 00:00:52,639 Speaker 1: Three marvelous stories today, Dozy boy, let's do it for 21 00:00:52,680 --> 00:00:55,280 Speaker 1: our first and you look. Domain has promised to put 22 00:00:55,280 --> 00:00:57,400 Speaker 1: a cap on price hikes as part of its new 23 00:00:57,480 --> 00:00:59,160 Speaker 1: plan to take it to area. 24 00:00:59,320 --> 00:01:01,240 Speaker 2: Nothing like a bit of rice competition to shake up 25 00:01:01,240 --> 00:01:02,960 Speaker 2: the property market, b Man tell me more so. 26 00:01:03,040 --> 00:01:06,080 Speaker 1: Domain is the second biggest property listing platform in Australia 27 00:01:06,120 --> 00:01:08,319 Speaker 1: behind Aria groups at real estate dot com dot Au. 28 00:01:08,440 --> 00:01:11,360 Speaker 2: But b Man it's second. But there's daylight between Aria's 29 00:01:11,360 --> 00:01:14,440 Speaker 2: monthly users of around thirteen million monthly visits theirs Domain's 30 00:01:14,640 --> 00:01:16,840 Speaker 2: roughly nine mil in a very good month. 31 00:01:16,720 --> 00:01:19,320 Speaker 1: Quick reminded flex Fam. Last year, Domain was acquired by 32 00:01:19,600 --> 00:01:22,840 Speaker 1: US giant costar four two point eight billion bucks. 33 00:01:22,600 --> 00:01:25,119 Speaker 2: And be Man. Despite some aunis from co Stars investors, 34 00:01:25,160 --> 00:01:27,520 Speaker 2: the US property giant has now made some big moves 35 00:01:27,520 --> 00:01:28,080 Speaker 2: in Australia. 36 00:01:28,200 --> 00:01:31,039 Speaker 1: Domain announce it will cap its price increases at four 37 00:01:31,080 --> 00:01:32,280 Speaker 1: percent from July first. 38 00:01:32,480 --> 00:01:34,960 Speaker 2: Well analysts reckon Aria is going to lift prices between 39 00:01:34,959 --> 00:01:36,240 Speaker 2: eight to ten percent this year. 40 00:01:36,280 --> 00:01:39,320 Speaker 1: Domain is pitching itself as the genuine alternative to agents 41 00:01:39,560 --> 00:01:42,720 Speaker 1: after years where Aria has dominated the market with limited competition. 42 00:01:42,800 --> 00:01:45,040 Speaker 2: If you wanted eyeballs on your listing, you paid up 43 00:01:45,080 --> 00:01:45,600 Speaker 2: for Aria. 44 00:01:45,800 --> 00:01:48,080 Speaker 1: But now Domain is trying to reposition itself to win 45 00:01:48,160 --> 00:01:49,760 Speaker 1: back sellers and agents and. 46 00:01:49,720 --> 00:01:51,840 Speaker 2: Of course rebuild its market share. 47 00:01:52,120 --> 00:01:53,120 Speaker 1: So what's the key learning here? 48 00:01:53,200 --> 00:01:56,480 Speaker 2: Business has often faced trade off between maximizing profits today 49 00:01:56,520 --> 00:01:58,360 Speaker 2: and capturing market share for tomorrow. 50 00:01:58,440 --> 00:02:00,680 Speaker 1: Aria Group has largely the profit game. 51 00:02:00,720 --> 00:02:02,680 Speaker 2: Yeah, it's got a very dominant position, so it's been 52 00:02:02,720 --> 00:02:05,040 Speaker 2: able to focus on monetizing its platform. 53 00:02:05,080 --> 00:02:08,600 Speaker 1: That has been through higher prices, strong margins, consistent revenue growth. 54 00:02:08,919 --> 00:02:12,720 Speaker 2: Man Domain under Costar is now leaning into the opposite strategy, 55 00:02:12,800 --> 00:02:14,119 Speaker 2: i e. Growing market share. 56 00:02:14,160 --> 00:02:17,520 Speaker 1: So Jasi Boy by capping price increases and offering added features, 57 00:02:17,600 --> 00:02:21,239 Speaker 1: Domain is effectively sacrificing some short term revenue to attract 58 00:02:21,240 --> 00:02:22,320 Speaker 1: more agents and listenings. 59 00:02:22,360 --> 00:02:24,120 Speaker 2: The classic challenge of playbook isn't it. 60 00:02:24,160 --> 00:02:26,359 Speaker 1: Yeah, you come in cheaper, add more value, try to 61 00:02:26,400 --> 00:02:27,680 Speaker 1: win customers from the incumbent. 62 00:02:27,720 --> 00:02:30,160 Speaker 2: If it works, the reward is scale. 63 00:02:29,800 --> 00:02:31,760 Speaker 1: And once you reach scale you can start to improve 64 00:02:31,800 --> 00:02:32,880 Speaker 1: margins a little bit later. 65 00:02:33,120 --> 00:02:35,760 Speaker 2: Remember when Zero the accounting software first entered the accounting 66 00:02:35,760 --> 00:02:38,160 Speaker 2: market against incumbents like mayobm hmm. 67 00:02:38,240 --> 00:02:41,119 Speaker 1: It originally charged significantly less as it worked to grow 68 00:02:41,120 --> 00:02:43,160 Speaker 1: its market share, but over the next decade, as Zero 69 00:02:43,240 --> 00:02:45,760 Speaker 1: has grown its market share to over sixty seven percent 70 00:02:45,760 --> 00:02:47,960 Speaker 1: in Australia, it's been able to jack up its prices 71 00:02:48,000 --> 00:02:50,560 Speaker 1: big time. Yeah, its startuplan went from around twenty seven 72 00:02:50,639 --> 00:02:53,320 Speaker 1: bucks per month to now a minimum of seventy bucks 73 00:02:53,360 --> 00:02:53,800 Speaker 1: per month. 74 00:02:53,880 --> 00:02:55,960 Speaker 2: So Domain will be hoping to grow market share and 75 00:02:56,040 --> 00:02:58,160 Speaker 2: then work on its margins. 76 00:02:57,639 --> 00:03:00,919 Speaker 1: For our second story. Halter, and New Zealand based ag 77 00:03:01,000 --> 00:03:03,360 Speaker 1: tech company, has been valued at two billion dollars as 78 00:03:03,360 --> 00:03:06,800 Speaker 1: it builds aipowered smart collars for cows. 79 00:03:06,880 --> 00:03:09,880 Speaker 2: We love to see a calgorithm taking off BMN, so 80 00:03:09,960 --> 00:03:10,679 Speaker 2: what's going on here? 81 00:03:10,720 --> 00:03:12,799 Speaker 1: Halter is a New Zealand based ag tech that was 82 00:03:12,840 --> 00:03:14,280 Speaker 1: found at e in twenty sixteen. 83 00:03:14,440 --> 00:03:17,600 Speaker 2: The idea was to create a GPS enable, solar powered 84 00:03:17,680 --> 00:03:19,240 Speaker 2: color for cattle like cows. 85 00:03:19,360 --> 00:03:21,280 Speaker 1: Yeah. The goal was to reduce the need for physical 86 00:03:21,320 --> 00:03:24,800 Speaker 1: fencing by using sound and vibration to guide cattle to 87 00:03:24,840 --> 00:03:26,600 Speaker 1: stay within boundaries. 88 00:03:26,240 --> 00:03:28,120 Speaker 2: And to move to other spots of a farm. 89 00:03:28,240 --> 00:03:31,240 Speaker 1: And now Halter is reportedly raising a new funding round 90 00:03:31,240 --> 00:03:33,480 Speaker 1: being led by none other than Peter Thiel. 91 00:03:33,280 --> 00:03:36,840 Speaker 2: Aka the investor behind Facebook, Stripe, LinkedIn, Airbnb, and a 92 00:03:36,880 --> 00:03:37,800 Speaker 2: whole lot more. 93 00:03:37,640 --> 00:03:40,080 Speaker 1: And jazup boit. This caveres could value Halter at over 94 00:03:40,120 --> 00:03:42,440 Speaker 1: two billion US dollars And why is it not finalized? 95 00:03:42,480 --> 00:03:44,920 Speaker 1: Yet b Man well because the round is so oversubscribed 96 00:03:44,920 --> 00:03:47,600 Speaker 1: apparently that they haven't even locked in the final size yet. 97 00:03:47,680 --> 00:03:50,480 Speaker 1: So Halter has managed to turn livestock into a subscription 98 00:03:50,520 --> 00:03:51,360 Speaker 1: based revenue model. 99 00:03:51,520 --> 00:03:53,680 Speaker 2: And the reason why this company is so popular because 100 00:03:53,680 --> 00:03:56,480 Speaker 2: it's part of a new wave of precision agriculture. 101 00:03:56,560 --> 00:03:57,560 Speaker 1: So what's the key learning here? 102 00:03:57,640 --> 00:04:00,920 Speaker 2: Precision agriculture is all about using technology to make farming 103 00:04:01,040 --> 00:04:02,480 Speaker 2: more efficient and sustainable. 104 00:04:02,520 --> 00:04:05,840 Speaker 1: Traditionally, farming has relied on pretty manual processes out on 105 00:04:05,840 --> 00:04:06,200 Speaker 1: the field. 106 00:04:06,280 --> 00:04:08,840 Speaker 2: Yep, the greatest piece of technology was a dog herding 107 00:04:08,840 --> 00:04:09,320 Speaker 2: the cattle. 108 00:04:10,040 --> 00:04:13,280 Speaker 1: But it was also about watering entire fields, or counting 109 00:04:13,320 --> 00:04:16,680 Speaker 1: livestock by hands, or building physical fences to manage animals. 110 00:04:16,720 --> 00:04:20,040 Speaker 1: But precision agriculture flips that by using data and sensors 111 00:04:20,120 --> 00:04:23,920 Speaker 1: to make much more targeted decisions. And the benefit is twofold. First, 112 00:04:23,960 --> 00:04:26,000 Speaker 1: it reduces labor costs for farmers. 113 00:04:25,640 --> 00:04:28,680 Speaker 2: And second it can actually improve how farmland and animals 114 00:04:28,680 --> 00:04:29,600 Speaker 2: are managed from your. 115 00:04:29,480 --> 00:04:32,480 Speaker 1: Couch and Joe Boyd. Globally, this is becoming a massive market. 116 00:04:32,560 --> 00:04:34,280 Speaker 2: Ye It's expected to grow from around nine and a 117 00:04:34,320 --> 00:04:37,200 Speaker 2: half billion dollars in twenty twenty five over seventeen bill 118 00:04:37,240 --> 00:04:38,240 Speaker 2: by twenty thirty one. 119 00:04:38,160 --> 00:04:41,320 Speaker 1: So it's no surprise that famed investors like Peter Till 120 00:04:41,400 --> 00:04:43,760 Speaker 1: the one slice of this market. For our third and 121 00:04:43,880 --> 00:04:47,359 Speaker 1: final story, Cudable and Ossie AI ad business has just 122 00:04:47,400 --> 00:04:48,760 Speaker 1: cracked one hundred million dollar. 123 00:04:48,680 --> 00:04:51,280 Speaker 2: Valuation with just eight software engineers. 124 00:04:51,440 --> 00:04:53,640 Speaker 1: Very interesting news, Josie Boy, tell me more about this one, Okay. 125 00:04:53,680 --> 00:04:55,600 Speaker 2: So, Cudable is an Ossie ad tech startup that was 126 00:04:55,640 --> 00:04:57,640 Speaker 2: founded in just twenty twenty three. 127 00:04:57,480 --> 00:04:59,840 Speaker 1: With one of the founders being Sam Kunnenberg, who was 128 00:05:00,040 --> 00:05:02,640 Speaker 1: previously the founder of a cloud Guru acquired for two 129 00:05:02,680 --> 00:05:04,160 Speaker 1: billion bucks a few years ago. 130 00:05:04,279 --> 00:05:05,839 Speaker 2: So what does cudible actually do be man? 131 00:05:05,920 --> 00:05:08,000 Speaker 1: Essentially, it's built for companies that want to test a 132 00:05:08,120 --> 00:05:10,520 Speaker 1: range of creative across social media platforms. 133 00:05:10,600 --> 00:05:12,600 Speaker 2: Instead of having a whole swat team of creatives test 134 00:05:12,640 --> 00:05:15,440 Speaker 2: different ideas and variations, they've built an AI tool that 135 00:05:15,480 --> 00:05:16,279 Speaker 2: can do it instead. 136 00:05:16,320 --> 00:05:18,640 Speaker 1: So early last year, Cuttable raised ten million bucks at 137 00:05:18,640 --> 00:05:21,480 Speaker 1: a valuation of just under forty five million dollars. 138 00:05:21,160 --> 00:05:23,200 Speaker 2: And now they're back at the cap raise table. 139 00:05:23,320 --> 00:05:25,040 Speaker 1: So as part of this round, they've raised capital at 140 00:05:25,080 --> 00:05:26,520 Speaker 1: a one hundred million dollar valuation. 141 00:05:26,680 --> 00:05:28,919 Speaker 2: But they meant what's probably the most interesting part is 142 00:05:28,920 --> 00:05:31,760 Speaker 2: it cutdable, So they're shipping more products with an engineering 143 00:05:31,760 --> 00:05:34,560 Speaker 2: team of eight compared to Crounenberg's one hundred person team 144 00:05:34,640 --> 00:05:35,480 Speaker 2: at a cloud Guru. 145 00:05:35,600 --> 00:05:38,520 Speaker 1: So they've effectively used AI to build their new AI tool. 146 00:05:39,120 --> 00:05:40,520 Speaker 2: So what is the key learning here? 147 00:05:40,560 --> 00:05:43,480 Speaker 1: AI isn't just changing products, it's changing how companies are built. 148 00:05:43,880 --> 00:05:47,080 Speaker 2: Scaling used to mean more people, bigger teams, more hierarchy, 149 00:05:47,160 --> 00:05:48,680 Speaker 2: but AI's flipped that on a teed. 150 00:05:48,760 --> 00:05:50,920 Speaker 1: For startups, it means you can move faster from day 151 00:05:50,960 --> 00:05:53,240 Speaker 1: one building and scaling without needing a huge team, and 152 00:05:53,279 --> 00:05:55,440 Speaker 1: then numbers back it up. In fact, a man McKinsey 153 00:05:55,560 --> 00:05:58,039 Speaker 1: estimates generative AI could add up to four point four 154 00:05:58,200 --> 00:06:01,880 Speaker 1: trillion dollars in productivity means globally or thirty to forty 155 00:06:01,920 --> 00:06:05,360 Speaker 1: percent increases in productivity for software engineers. But for established 156 00:06:05,400 --> 00:06:08,359 Speaker 1: companies it's forcing a rethink on their headcount like Wistech 157 00:06:08,440 --> 00:06:11,000 Speaker 1: who just got rid of around twenty nine percent of 158 00:06:11,040 --> 00:06:11,720 Speaker 1: their team. 159 00:06:11,560 --> 00:06:13,640 Speaker 2: Or Block who just cut fifty percent of their team. 160 00:06:13,680 --> 00:06:15,719 Speaker 1: Because when a smaller team can do more, the old 161 00:06:15,760 --> 00:06:16,839 Speaker 1: model starts to break. 162 00:06:16,880 --> 00:06:19,359 Speaker 2: So me man, the next billion dollar company might not 163 00:06:19,440 --> 00:06:21,919 Speaker 2: look like a five hundred percent organization, it. 164 00:06:22,000 --> 00:06:24,920 Speaker 1: Might look like a tight team running on AI Flux am. 165 00:06:24,920 --> 00:06:26,599 Speaker 1: Did you know your credit score can be as low 166 00:06:26,640 --> 00:06:29,640 Speaker 1: as the low hundreds and up to twelve hundred based 167 00:06:29,680 --> 00:06:31,640 Speaker 1: on the Flux Credit Score tool, And it all depends 168 00:06:31,680 --> 00:06:33,960 Speaker 1: on it how much credit you have, how you're repaying it, 169 00:06:34,040 --> 00:06:35,880 Speaker 1: and a whole lot of other factors where you break 170 00:06:35,880 --> 00:06:37,200 Speaker 1: it down in the Flux app. And if you want 171 00:06:37,200 --> 00:06:39,120 Speaker 1: to see what your credit score is this month, make 172 00:06:39,120 --> 00:06:41,039 Speaker 1: sure to download the app and check it out. Thanks 173 00:06:41,080 --> 00:06:43,359 Speaker 1: for listening and we'll see you on Friday.