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  1. 1d ago

    Why Investors Keep Saying No (And What to Do About It) | Justin Wastnage from Vloggi

    Episode Summary Justin Wastnage is the founder and CEO of Vloggi, a platform that transforms everyday mobile phone footage into trusted, structured, legally owned video assets for businesses and enterprises. What started as a tool for tourism boards to crowdsource location content has evolved, through COVID, multiple pivots, and years of customer-funded development, into an infrastructure layer that verifies, structures and processes video for some of the world's most compliance-heavy industries. In this episode, Justin joins Alan to talk honestly about the challenges of pitching a business that investors think they already know. Vloggi has worked with Major League Baseball, Netflix, the NSW Government, and Google Ads, yet raising in Australia remains stubbornly difficult. Alan digs into why that is and what Justin can do about it, from repositioning the pitch, to rebranding, to putting someone else in the room. If you're a founder who has pivoted hard but can't shake what investors remember about your old story, this one is for you. Time Stamps 00:00 – Intro 02:03 – Meet Justin Wastnage and the origins of Vloggi 04:57 – What Vloggi does: video as content, data and evidence 07:11 – What changed with synthetic AI video and why it matters now 09:00 – The pivot story: from tourism boards to enterprise compliance 12:35 – Bootstrapping and the team behind Vloggi 13:03 – The current raise: $800k to bring the enterprise product to market 17:03 – How Vloggi verifies that uploaded video is authentic, not AI-generated 19:33 – Commercial model: per project vs ongoing enterprise licensing 22:31 – Why Vloggi wants to be infrastructure, not a consumer brand 24:48 – Alan's challenge: how to reposition when investors think they know your old story 29:08 – Should you rebrand? The case for and against 32:26 – Pitch deck strategy: teaser first or full deck upfront? 35:23 – Alan pitches Vloggi back to Justin the way he'd do it 38:51 – The airline use case and how to open with one vertical then go broad Resources - Ask Alan a Question – https://speakpipe.com/pickmybrain - More from Alan Jones – https://www.startupfoundercoach.com The Day One Network Pick My Brain is part of Day One, the podcast network dedicated to founders, operators & investors. To learn more, join our newsletter (https://dayone.fm/newsletter) to be notified of new and upcoming shows. Day One helps founders and startup operators make better business decisions more often. Follow our socials Linkedin: / dayonefm Instagram: / dayone.fm TikTok: / dayone.fm

    Why Investors Keep Saying No (And What to Do About It) | Justin Wastnage from Vloggi

  2. 4d ago

    Building A Flywheel That Cultivates Talent

    Harry Uffindell has spent his career hiring the kind of people you don’t need to manage. From law, to consulting, to founding his own startup, to 5.5 years as CPO at Partly, and now building at Manifest - Harry has seen what happens when you trade quality for speed. In this episode of the FNDN Series, Harry joins Matt McFarlane to share why great hiring starts before the JD goes live, how he stole Amazon’s Bar Raiser system for a Kiwi startup, and why his filter for 10x talent is simple: self-guided missiles. Matt and Harry dive into the AI-enabled 45-minute Role Launch process that saves you months of wheel-spinning, the post-loop debrief with silent reads that protects talent density, and the real cost of putting a good bum in a seat. They also unpack talent cultivation - how to build a 12-24 month tsunami of great people, why he partnered with top university societies to create a hiring flywheel, and the billboard he’d put in San Francisco to bring Aussie and Kiwi talent home. Harry also reflects on why the top 1% of grads right now are mind-blowing, why years of experience is a broken proxy for ability, and why having a non-traditional background in People might be his biggest superpower. Episode Chapters 00:00 – Intro - Welcome Harry to the FNDN Series 02:15 – How do you actually define top talent / 10x / A-players? 05:30 – The Role Launch Process: Why speed now elongates your hiring later 08:45 – Building a Claude Skill to fast-track the process for busy hiring managers 11:50 – Speed vs. Intentionality: How to get the business to accept diligence upfront 15:20 – The 50-interview junior designer and what great actually looks like 18:40 – The Bar Raiser: Stealing Amazon’s most frustrating, most impactful process 22:10 – Inside the post-loop debrief: silent reads, scores, and handling amber flags 26:35 – The vibe check: Are you excited to tap people on the shoulder? 29:30 – B-players hire C-players: When threat is actually opportunity 33:15 – Self-guided missiles: Harry’s filter for true end-to-end ownership 37:40 – Ghost jobs, 300 AI applications a day, and how to find the best in the country 41:05 – The care test: How Harry interviews for obsession 44:20 – Talent Cultivation: Playing the long game and building your tsunami 47:30 – Should you hire the person or the role? It’s stage dependent 52:00 – Referrals and the question: Who would you follow if they started a company? 55:40 – The uni society flywheel: Hiring the 2-3 go-to people in each cohort 59:10 – The San Francisco billboard to bring talent back to AU/NZ 01:02:30 – AI-native grads, equity, and why top grads want to control their destiny 01:06:45 – The AU/NZ problem: Why we can’t just trade the same talent pool 01:11:30 – Why scaling from 200 to 800 means we need to create new talent 01:14:00 – Law to CPO: Why outsiders make the biggest step changes Resources 🚀 Partly: https://www.partly.com/ - where Harry spent 5.5 years scaling the team 🛠️ Manifest: https://www.manifest.build/ - where Harry is building now https://fndnseries.fndn.com.au/podcast

    Building A Flywheel That Cultivates Talent

  3. Oct 26

    Mark Deacon's Marketing Hub: AI Revenue Engine

    Canibuild's sales team used to record personalised prospect videos by hand. Each one took 15 to 20 minutes, so reps did them in bursts, when they had spare time. Mark Deacon replaced that routine with a system that scripts, produces and tracks the videos, and he opens his screen to show every step. Mark is Chief AI Officer at Canibuild. He has spent his career leading sales, marketing and customer success teams, and he does not write code. He built the Marketing Hub, an internal platform where Canibuild's teams serve themselves instead of queuing for engineering. The outreach video tool is the centrepiece. A rep enters a prospect's website, or imports a list from a CSV or a HubSpot segment. The system scrapes the site, writes a script and produces a video of about a minute. It opens on the prospect's own website, then moves into the Canibuild product and ends on a call to action. Each video features an AI avatar of the account's real rep, with a HeyGen face and an ElevenLabs voice. Mark said reps supplied short recordings to set these up, and a personalised landing page goes out with the video. Mark was direct about the results. By his account, conversion is roughly on par with videos reps record themselves. The gain is volume: a handful a month before, and potentially a thousand now, at about $4 a video. Video watches trigger Slack alerts and HubSpot tasks; demo bookings create deals, so reps do not need to live in the Marketing Hub. The build-versus-buy split is useful. Mark said Canibuild's tools split roughly 50/50. It buys anything customer-facing that needs near-perfect uptime, such as its 11x AI SDR. It builds internal tools where a day of downtime is an inconvenience, not a crisis. He also showed an early version of a newsletter builder. It reads the engineering team's Jira roadmap and industry news, scores what matters for a chosen segment, and publishes through HubSpot. Mark noted that it still needs a person to pick articles and images. Automatic segment-by-segment sending is the next step. The second half widens out. Every Canibuild tool starts as a flow tested in the terminal, then gets an interface so the team can run it without waiting on Mark. Staff build dashboards and apps in VS Code using shared skills. Those skills apply templates, scan for leaked API keys, push to a central GitHub and register each tool on a master dashboard, so nothing disappears when its builder leaves. Mark described his role as enablement. He wants the people with domain expertise to build, inside guardrails, without turning his team into a new engineering queue. His advice for beginners: start with Claude Code or Codex in the terminal, tie the first build to a real business problem, and keep humans on the first 20 per cent (thinking) and the last 20 per cent (review) of the work. About Mark Deacon Mark Deacon is Chief AI Officer at Canibuild. He is a revenue leader whose background spans sales, marketing, customer success and go-to-market strategy. He runs a growing set of internal AI tools for Canibuild's teams and posts about what he is building on LinkedIn. Chapters 00:00 Cold open and intro 01:50 Why manual Loom videos did not scale 04:20 Terminal first, then a self-serve interface 05:18 From prospect website to scripted video 07:06 AI avatars, cloned voices and landing pages 12:15 Conversion parity, volume and cost per video 14:35 Watches become Slack alerts, HubSpot tasks and deals 17:43 Build versus buy: the AI SDR and enrichment 20:10 A revenue leader building without engineers 22:45 Newsletter builder fed by the product roadmap 27:22 Guardrails so everyone can build 32:22 Chief AI Officer: enablement, not a new bottleneck 38:58 Rapid fire 43:35 How to start, and the 20/60/20 rule Links and resources Mark Deacon on LinkedIn: https://www.linkedin.com/in/markpdeacon/ Canibuild: https://canibuild.com/ HubSpot: https://www.hubspot.com HeyGen: https://www.heygen.com ElevenLabs: https://elevenlabs.io 11x: https://www.11x.ai FullEnrich: https://fullenrich.com Astro: https://astro.build About the host Zachary King is the founder of Works, where he installs AI into how Australian companies operate. He has worked at the commercial pointy end of AI for almost twenty years and runs his own company largely from the command line. About the show Operator AI is the show where real operators open their screens and show exactly how they run the real parts of their business with AI. The real stack, not the hype. If you want AI installed into how your business actually operates, learn more at https://workshq.com.au/ or book a time with Zachary King at https://savvycal.com/Zachary-King/zac-at-works-30. Operator AI is part of Day One Network, the podcast and media network from W2D1 Media: https://dayone.fm/.

    Mark Deacon's Marketing Hub: AI Revenue Engine

  4. Oct 17

    Stop Automating Away the Moments That Matter

    Danny Seals has advised some of the most complex People teams in the world — big pharma, banking, and large-scale consultancies — and right now he's hearing the same thing from senior leaders everywhere: "I'm the most senior I've ever been in my career, and I feel like I'm the dumbest person. I'm burnt out. My experience has limited value because the instant answer is put it through ChatGPT." In this episode of the FNDN Series, Matt McFarlane sits down with Danny, founder of Knot, a People experience advisory, and author of The Insightful Innovator, to unpack the big addiction to efficiency that's sweeping People and Culture. Danny calls it Minutes vs. Moments — we’re obsessed with saving 10 minutes here and there, but we’re removing all the moments that actually build trust, loyalty and high-performing teams. From banking chatbots named Aura that add friction instead of removing it, to bereavement leave being handled by a bot, to HR teams vibe-coding their entire tech stack in Claude, we explore what should be automated and what should never be touched. Matt and Danny also get into product-led thinking for People teams, his SPIES framework (Subscription, Products, Interactions, Experiences, Services), why IKEA turned customer service reps into digital interior designers instead of making them redundant, what X-shaped people do differently from T-shaped specialists, and how his Team MRI diagnostic — run over 100 times — helps teams see where experience is really leaking. If you're building a People function in the age of AI, this is the filter you need before you automate anything. Episode Chapters 00:00 – Intro 01:08 – Welcome to the pod with Danny Seals 02:40 – Where is People experience practice today? 03:03 – The AI & efficiency addiction: why senior leaders feel burnt out 04:49 – Where AI pressure is really coming from in HR 05:53 – Minutes vs. moments: the framework 07:30 – Moments that matter that AI should never touch 09:30 – SPIES, banking apps, and situational design 13:00 – When fraud happens: why white-glove human service is becoming a premium 19:00 – Product thinking vs. "work as a product" — language matters 28:00 – SPIES explained: hardware is strategy, software is capability 32:00 – T-shaped vs M-shaped vs X-shaped people 37:00 – Hiring for curiosity: what X-shaped people do day-to-day 41:00 – From crime scene investigation to audience insight: what "leakage" tells you 46:00 – The rise of the People engineer and what IKEA got right 50:00 – Vibe-coding your HR stack and the redundancy-to-rehire trap 54:00 – The future of the HRBP role: capability vs. job description 60:00 – The Team MRI: diagnosing 12 traits of high-performing teams 67:22 – One idea to steal: problem valuation — talk in feelings and figures 🧠 Danny Seals – People Experience expert, founder of Knot and Knot Another Newsletter 📚 The Insightful Innovator – Book by Danny Seals on People experience 🏢 IKEA Case Study – Reskilling customer service reps into digital interior designers https://fndnseries.fndn.com.au/podcast

    Stop Automating Away the Moments That Matter

  5. Oct 14

    Longevity BS, Breakthroughs and What Comes Next

    In Part Two of my conversation with Dr Steven Lu, Everlab’s co-founder and Chief Medical Officer, we unpack what’s actually worth measuring, which treatments show real promise, what’s still experimental and what the future of preventative healthcare could look like. And why, when it comes to optimising our health, we should be problem-centric, not solution-centric. We dive into: What keeps Steven up at night as Everlab grows and expands internationally.What’s actually worth measuring: From Lp(a), a genetically influenced cardiovascular risk marker, to body composition, and the tests Steven believes deserve more attention.GLP-1s, breakthrough drugs or misunderstood medicine? Their potential, the risks of poor dosing and inadequate support, and why protecting muscle and bone health matters.The peptide boom: What’s backed by evidence, the safety and quality concerns, and why Steven isn’t ready to inject them himself. Yet.Being problem-centric, not solution-centric: Why chasing the latest tests, treatments and biohacks isn’t necessarily the best approach to better health.AI and the future of primary care: How Everlab’s Concierge is bringing AI into healthcare while keeping clinicians in the loop.The next frontier of preventative medicine: Pharmacogenetics, personalised care and emerging Alzheimer’s blood tests.Hype or worth it? Steven’s rapid-fire take on full-body MRIs, continuous glucose monitors, wearables, NAD+ infusions and creatine, plus the health habits he thinks are overhyped and underappreciated. Chapters 00:00 Preview: what's real in longevity 01:12 What keeps Steven up at night: leading Everlab through uncharted waters 03:00 What's worth measuring: Lp(a) and body composition 05:28 GLP-1s: what works, and what goes wrong without support 12:13 Peptides: the evidence gap and his "would I take it myself?" test 18:28 Be problem-centric, not solution-centric 22:41 Pharmacogenetics, tailored care and the public system's role 24:03 AI in primary care: keeping a clinician in the loop 27:55 The pTau217 Alzheimer's blood test and what Everlab is studying next 31:06 Rapid fire: MRI, CGMs, wearables, NAD+ and creatine 38:59 Lightning round: favourite emoji, overhyped and underhyped 41:40 Family, where to find Everlab, and thanks Links and resources What The Health: https://whatthehealth.io/ Everlab: https://www.everlab.com.au/ Dr Steven Lu at Everlab: https://www.everlab.com.au/doctors Tenmile Ventures: https://www.tenmile.com/ Mentioned in the episode: Everlab Concierge product update (the AI health assistant, Eva, that Steven describes): https://www.everlab.com.au/post/introducing-everlab-conciergeKFF Health Tracking Poll, November 2025 (12% of US adults say they currently take a GLP-1 drug; 18% have ever taken one): https://www.kff.org/health-costs/poll-1-in-8-adults-say-they-are-currently-taking-a-glp-1-drug-for-weight-loss-diabetes-or-another-condition-even-as-half-say-the-drugs-are-difficult-to-afford/TGA, concerns about unapproved peptide products (background to the peptide discussion): https://www.tga.gov.au/news/media-releases/concerns-regarding-public-health-risks-associated-unapproved-peptide-productsRACGP newsGP, TGA warning on unapproved peptides (April 2026): https://www1.racgp.org.au/newsgp/professional/tga-issues-warning-against-unapproved-peptidesMSAC Application 1736 (the proposal to list Lp(a) testing on the MBS; outcome pending): https://www.msac.gov.au/applications/1736RACGP submission on MSAC Application 1736 (October 2022; opposes the listing): https://www.racgp.org.au/advocacy/reports-and-submissions/view-all-reports-and-submissions/2022-reports-and-submissions/msac-application-1736-lipoprotein-a-testing-asAusDoc, Australian Atherosclerosis Society backs the proposed Lp(a) MBS items: https://ausdoc.com.au/specialist-update/cardiologists-back-expanded-lipoproteina-testing-for-at-risk-patientsAustralian Atherosclerosis Society, patient brochure on elevated lipoprotein(a): https://www.athero.org.au/fh/wp-content/uploads/Lpa-brochure.pdfMedical Republic on the pTau217 Alzheimer's blood test (Roche test authorised in Australia; the Health Minister's comments): https://medicalrepublic.com.au/mark-butler-and-the-holy-grail-of-dementia-tests/127796Axios on OpenAI's report on ChatGPT health use (January 2026; more than 40 million people ask daily): https://axios.com/2026/01/05/chatgpt-openai-health-insurance-acaNews 12 New York on the death of a woman after an NAD+ infusion at a Bronx wellness centre (the case Steven refers to in the rapid-fire round): https://bronx.news12.com/prosecutors-unauthorized-nad-iv-infusion-led-to-womans-death Subscribe for more conversations cutting through the noise in health technology, biotech and healthcare innovation. What the Health is brought to you in partnership with Tenmile Ventures. What the Health is part of Day One Network: https://dayone.fm/ #HealthTech #Longevity #PreventativeHealth #AIinHealthcare

    Longevity BS, Breakthroughs and What Comes Next

  6. Oct 9

    The AI Nomad: How Nathan Clark Switches Tools Without Losing the Work

    Nathan Clark runs three clients on three different AI stacks. One has standardised on Claude, the next on ChatGPT, and he doesn't have the luxury of picking just one. So he built a system that lets him move between models and agent apps without starting over each time. Nathan Clark, founder of ReadyGTM, helps companies sharpen and scale their go-to-market motion, with a growing focus on AI implementation. On screen, he opens the file system underneath his work and hands a live piece of client work from one tool to another, showing exactly where the handoff still gets messy. The system is a folder structure on an always-on Mac Studio, reachable from his laptop, iPad and phone through Tailscale. The folders follow how Nathan runs his business: plan, market, sell, deliver, operate. Each client gets an AGENTS.md file, and a job that runs at 10pm each night sweeps his messages and files to keep those client files current, but it's only allowed to touch low-risk files. A centralised skills library is symlinked into every tool he uses, so the same skills are available whichever agent he's in. For the demo, Nathan works from a synthetic client, Acme Inc. He opens a sales diagnostic built in Codex, his daily driver, and explains why he delivers client reports as web pages rather than slide decks: clients are paying for clarity, and the evidence behind every number sits one click away. When he doesn't like parts of the design, he hands the same folder to Claude Code in the terminal and dictates the brief: strip the eyebrows and page numbers, add a dark-mode toggle. While that runs, he shows GrokBot answering client questions from the same underlying files. The change lands, dark mode works, and he goes back to Codex to push it live. The back half covers how Nathan picks tools. Codex does around 80% of his paid work because it follows precise instructions literally. Claude handles visual work and reads intent from looser prompts. Solo runs multi-agent builds for hours while he's elsewhere, and Amp's cloud-based Orbs keep environment and context intact without anything running on his desktop. Then the rough edges: memory drift in his file system, and agents that have pushed changes live when told not to. Nathan wants proper per-agent permissions rather than instructions an agent may or may not follow. It closes with a quick-fire round and Nathan's advice for anyone starting out: be more ambitious about what you ask AI to do, and when it names something you don't know, ask what it is and ask it to walk you through doing it. As he puts it, it's prompts all the way down. Nathan Clark is the founder of ReadyGTM, where he helps companies sharpen and scale their go-to-market motion and put AI to work in ways that move the numbers. He also works with Works. Chapters 00:00 Cold open 01:03 Meet Nathan Clark 01:48 What "AI nomad" actually means 02:52 Why most operators should go deep on one tool 05:34 What needs to live outside the apps 06:00 Inside the Nathan Brain: a durable file system in plain text 09:13 The 10pm sweep, AGENTS.md and a centralised skills library 15:50 The demo: Acme Inc. and the Codex diagnostic 18:21 Why reports are web pages, not slide decks 21:17 Handing off to Claude Code for a dark-mode fix 22:42 GrokBot for client management on the move 26:04 Dark mode lands, and pushing live 29:14 Ranking the tools: Codex, Claude, Solo, Amp 37:10 Where it breaks: drift and permissions 38:52 Quick-fire round 43:30 Where Nathan gets his alpha 44:52 Advice for beginners: prompts all the way down 46:07 Where to find Nathan Resources Nathan Clark: https://readygtm.com Nathan on LinkedIn: https://linkedin.com/in/nathancjclark Nathan on X: ​​https://x.com/nathanclark_ Solo: https://soloterm.com Amp: https://ampcode.com Tailscale: https://tailscale.com OpenCode Go: https://opencode.ai Lorikeet (Steve Hind): https://www.lorikeetcx.ai About the host Zachary King is the founder of Works, where he installs AI into how Australian companies operate. He has worked at the commercial pointy end of AI for almost twenty years and runs his own company largely from the command line. About the show Operator AI is the show where real operators open their screens and show exactly how they run the real parts of their business with AI. The real stack, not the hype. If you want AI installed into how your business actually operates, learn more at https://workshq.com.au/ or book a time with Zachary King at https://savvycal.com/Zachary-King/zac-at-works-30. Operator AI is part of Day One Network, the podcast and media network from W2D1 Media: https://dayone.fm/.

    The AI Nomad: How Nathan Clark Switches Tools Without Losing the Work

  7. Oct 7

    The Everlab Journey and Building Preventative Health

    Everlab has raised around A$80 million, including a recent A$65 million Series A, reached 20,000 patients and processed more than 21 million biomarker results. Now, after becoming one of Australia’s fastest-growing preventative health companies, it’s taking the model global. (Everlab) I first spoke to the Everlab team back in 2023. I loved what they were building then, but at the time there were plenty of skeptics about whether this kind of deeply personalised, data-heavy model of preventative healthcare could ever really work at scale. Three years later, they’re proving that it can. Longevity has become one of the most hyped corners of healthcare. There’s no shortage of supplements, biohacks, expensive tests and big promises about living longer. But while much of the industry is still selling the idea of longevity, Everlab is turning it into actual healthcare: doctors, diagnostics, longitudinal data, clinical follow-up and preventative care, delivered at increasingly serious scale. And the company is on a rocket-ship trajectory. Its A$65 million Series A was oversubscribed, it now works with more than 180 clinicians and 1,850 healthcare locations, and it is beginning its push into global markets. (Everlab) In Part One of this two-part conversation, I sit down with Dr Steven Lu, Everlab’s co-founder and Chief Medical Officer, to unpack how they actually built it, and what it takes to turn the promise of longevity into real-world medicine. We dive into: The Everlab journey, from an ambitious idea investors were skeptical of to raising around A$80 million and expanding globallyWhy longevity has exploded, and the gap between the hype surrounding the category and what good preventative medicine actually looks likeWhat the Everlab patient journey actually looks like, and how its model differs from the healthcare most of us experience todayHow you take enormous amounts of fragmented health information and turn it into something clinically useful rather than simply giving a pile of test results Chapters 00:00 Preview: why prevention so often comes too late 01:04 The longevity boom: what's signal and what's expensive theatre 06:22 What "longevity" should mean: healthspan, not hype 10:24 Why prevention still loses to reactive care 17:48 Everlab's model: one plan built from your records 24:26 How AI and clinicians work together on patient data 28:40 The founding team, the mission and the early cases 34:05 Making prevention stick when you feel fine 38:21 Lessons from closing a whole-body MRI business 42:36 Whole-body scans: a great scan, not a magical one 44:39 Patients as customers: trust, Covid and consumer agency 49:46 Where Everlab and preventative care go next Links and resources What The Health: https://whatthehealth.io/ Everlab: https://www.everlab.com.au/ Dr Steven Lu at Everlab: https://www.everlab.com.au/doctors Tenmile Ventures: https://www.tenmile.com/ Mentioned in the episode: Everlab's Series A announcement (the funding Emily cites): https://www.everlab.com.au/press/everlab-raises-au-65m-series-a-to-make-world-class-preventative-healthcare-something-everyone-can-accessNeko Health's US$700m raise (Emily's reference to a recent whole-body scan raise): https://www.fiercehealthcare.com/health-tech/full-body-scan-startup-neko-health-scores-700m-break-us-marketAustralians live longer than previous decades but spend more years in poorer health (MJA InSight+): https://insightplus.mja.com.au/2026/27/australians-live-longer-than-previous-decades-but-spend-more-years-in-poorer-healthNational Drug Strategy Household Survey 2022 to 2023 (AIHW; daily smoking is at a record low, while risky drinking is unchanged since 2019): https://www.aihw.gov.au/reports/illicit-use-of-drugs/national-drug-strategy-household-survey-2022-2023/contents/summaryEarly-onset bowel cancer research, University of Melbourne: https://about.unimelb.edu.au/news-resources/awards-and-achievements/research-grants-funding/university-of-melbourne-researchers-funded-to-investigate-early-onset-cancerSearch for the causes of rising early-onset bowel cancer, Adelaide University: https://adelaide.edu.au/about/news/2026/search-for-causes-of-rapid-rise-in-bowel-cancer-in-young-people/Warranty period of coronary CT angiography (European Heart Journal Cardiovascular Imaging, 2023; background to the "warranty" idea Steven describes): https://research.utu.fi/converis/portal/detail/Publication/178099808?lang=en_GBMoreGoodDays (the digital fibromyalgia program Steven mentions): https://moregooddays.com/ Subscribe for more conversations cutting through the noise in health technology, biotech and healthcare innovation. What the Health is brought to you in partnership with Tenmile Ventures. What the Health is part of Day One Network: https://dayone.fm/ #HealthTech #Longevity #PreventativeHealth

    The Everlab Journey and Building Preventative Health

  8. Sep 27

    Why Australia Has More AI PhDs Than Anywhere | First Cheque

    Episode SummaryBlackbird partner Tom has spent the last decade obsessing over one thing: why Australia talks about innovation from a place of doubt, while the US talks about it from a place of opportunity. From buying BHP as a kid through his parents, to operating at Canopy before it was acquired, to spending most of the 2010s investing out of Colorado and now back in Australia at Blackbird, Tom has seen both sides of the talent arbitrage. In this episode of First Cheque, Tom joins Maxine and Cheryl to share why 8 percent of all AI experts in Asia-Pac are based in Australia, why we have more AI PhDs than any other country in the world and why no one is celebrating it, and what it really means that 88 percent of our PhD students are immigrated talent. They also dive deep into why commercialization is still broken, how Foundry and Baker Street are trying to fix the bridge from lab to seed, and why product-led growth is not dead — it just changed. Tom also reflects on the boomerang effect, the R and D tax credit as Australia's secret weapon, and why the next decade of Australian companies will be built with a base in Australia and a base on the West Coast. Time Stamps00:00:00 - Intro: Doubt versus opportunity 00:01:12 - Hey, I'm Cheryl. I'm Maxine. This is First Cheque 00:03:45 - What was the first thing you ever invested in? BHP and the Canva vs BHP math 00:05:51 - Invest early and hold: learning compounding from his parents 00:06:52 - Invest America: what happens when every kid gets $1,000 to compound until 18 00:08:14 - Robinhood, retail, and the new CEO playbook 00:11:02 - Why aren't we more excited about Australia? The AFR talent piece 00:12:29 - 8 percent of Asia-Pac AI experts are in Australia and we have 6 of the top 100 AI universities 00:13:59 - The output story: 6 foundational models trained in Australia, Leonardo at number 5 globally 00:16:52 - Why Australia builds global-first: Heidi and Leonardo are 90 percent offshore revenue 00:18:20 - The cost of not celebrating: US pre-seed up 70 percent, Australia going backwards 00:20:33 - Capital constrained but the most capital efficient market in the world 00:21:31 - Sourcing from universities: the good and the bad 00:23:20 - Why we are last on the OECD for commercialization: Google Maps, Wi-Fi, and Bluey 00:25:10 - What is working: UNSW 10x, Melbourne NextGen, and defence tech accelerators 00:27:28 - Baker Street and the rise of alumni syndicates 00:28:40 - Foundry: building the bridge from lab to seed round 00:30:18 - What this means for your average angel investor 00:30:42 - Grading Australian talent: from C minus to B minus 00:31:16 - Two types of AI talent: engineering versus research PhDs 00:32:54 - The boomerang effect: Jesse Clark and why top researchers will come back 00:33:41 - The Australia plus US operating model and the 14-hour flight 00:35:13 - Talent arbitrage and the 43 cent R and D secret weapon 00:36:45 - Do you take a talent haircut outside the Bay Area? No. 00:39:18 - Is product-led growth out of vogue? 2019 to 2021 and why Australia got so good at it 00:41:14 - What PLG actually is: methodology, not freemium 00:44:15 - AI agents in the sales funnel and why go-to-market feels stale 00:46:15 - Back to the Stone Ages: brand, community, podcasts, and in-person events 00:49:47 - Building in public, hype cycles, and Manus AI 00:51:20 - Why enterprise is coming earlier: 2023 consumer AI, 2024 prosumer AI, 2025 enterprise AI 00:53:18 - Single-player versus multiplayer mode: why AI changes the buyer 00:57:48 - Palantir, CrowdStrike, and when enterprise motion makes sense 00:59:20 - What does a capital-starved ecosystem mean for enterprise go-to-market 01:00:38 - Biggest big cojones moment: 3 boys under 6 with a founder CEO wife ResourcesSponsors:First Cheque is supported by our wonderful sponsors:Deel: Global hiring and payroll can be a headache. Deel brings HR, IT and payroll together in one platform, helping companies including Shopify, Revolut and ElevenLabs scale internationally. Ready to expand your business? Build your global team with Deel at deel.com/dayone. ___ Pear Tree: Pear Tree helps Australian and New Zealand founders build high-performing offshore teams without the agency middleman. As local hiring becomes more expensive and harder to fill, many operators are turning to offshore talent across engineering, development, marketing, accounting and operations at a fraction of local salary costs. The offshore horror stories you hear usually aren’t a talent problem. They’re the result of outsourcing agencies that overcharge clients while underpaying staff. Pear Tree takes a different approach through a direct, transparent model where your team is paid fairly, fully compliant, and focused entirely on your business. As part of the Day One community, you’ll receive a free team audit to identify where offshore talent could move the needle in your business, plus 20% off your first hire. Learn more at http://dayone.fm/peartree First Cheque is part of Day One.Day One helps founders and startup operators make better business decisions more often. To learn more, join our newsletter to be notified of new First Cheque episodes and upcoming shows. Mentioned in this episode: Pear Tree If you're a founder or operator trying to scale, here's the reality — Australian hiring is getting harder, salaries are at record highs, and the talent you need is increasingly out of reach. The best operators are quietly building offshore teams of engineers, marketers, accountants and analysts at a fraction of the cost. Pear Tree does it differently. We headhunt highly skilled talent from the Philippines and South Africa with full transparency on where every dollar goes, so your team is paid fairly and fully focused on your business. As a Day One listener, you’ll receive a free team audit to identify where offshore talent could move the needle in your business, plus 20% off your first hire. Deel x FC_Script 01 - Sep 2026 Deel x FC_Script 02 - Sep 2026 This podcast uses the following third-party services for analysis: Podtrac - https://analytics.podtrac.com/privacy-policy-gdrp Spotify Ad Analytics - https://www.spotify.com/us/legal/ad-analytics-privacy-policy/

    Why Australia Has More AI PhDs Than Anywhere | First Cheque
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    Day One
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  • Years Active
    2024 - 2026
  • Episodes
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