エピソード

  • From Mental Health App to Indy Jeff Quach on Building AI Families Actually Trust
    2025/10/27

    From hacking mainframes to building Haven (mental health) and now Indy, an AI co-pilot helping families navigate paediatric and developmental care, Jeff Quach shares a builder’s journey grounded in anthropology, trust, and real-world impact. We unpack when AI should support human care (not replace it), why guardrails matter, how to find the right co-founder, and the gritty reality of bootstrapping (“the desert walk”), plus practical tools and workflows you can use today.

    Time stamps
    00:00 – Intro: Jeff Quach, Indy & what this episode covers
    05:53 – From Haven to Indy: why the pivot in mental health tech
    06:00 – Anthropology in product: culture, reciprocity & trust
    08:11 – Designing for trust: small choices that compound
    10:17 – Where AI supports, not replaces, human care
    12:09 – Problem space: parents, families & complex journeys
    14:14 – Haven lessons: support across age stages and scope
    17:27 – Early builder stories & shipping fast
    21:15 – Founder persistence and the “desert walk”
    24:04 – ICP clarity: serving parents first
    26:17 – Finding the right co-founder (Antler signals & fit)
    31:33 – Parent outcomes: progress they can see
    35:00 – Mental health models: what AI can/can’t solve
    37:02 – Inside Indy: product shape & value moments
    41:40 – Workflow stack: Notion (AI), ops, cadence
    44:53 – Safety & guardrails: avoiding overreach
    49:30 – Tools recap: Claude, Notion AI, practical tips
    51:30 – Closing: key takeaways & what’s next

    What you’ll learn
    - Applying anthropology to product: cultural relativism, reciprocity & trust → better UX and retention
    - The limits of “self-solving” mental health; designing tech that restores human-to-human connection
    - Why Jeff wound down Haven and built Indy with safety guardrails and a parent-first journey
    - Co-founder fit via Antler: complementary skills, oxygen for the journey, signals that you’re on the right path
    - Hyper-personalisation that isn’t creepy: small preference shifts that build long-term trust
    - Tools & stack: Notion + Notion AI, Claude (Code), rapid prototyping, lightweight agents
    - Career & founder advice: go wide, ship often, persist, and avoid “big-name” co-founder traps

    About Jeff
    Product and AI leader with roots in financial services and SafetyCulture, a background in social anthropology, and founder/operator across Haven (mental health) and Indy (AI for parents). Jeff’s lens: build value where people feel it daily—then earn trust with clear trade-offs and smart guardrails.

    Who this episode is for
    Founders and PMs shipping AI into health, family & education contexts
    UX/CX leaders chasing evidence-backed trust and adoption
    Builders validating AI products without losing the human

    Episode links:
    Check out the Indi App: https://projectindi.com/
    Check out Jeff Quach: https://www.linkedin.com/in/jeffreyquach/


    Support the show

    Other Links
    🎙️our podcast links here: https://digitalnexuspodcast.com/
    👤Chris on LinkedIn - https://www.linkedin.com/in/pcsinclair/
    👤Mark on LinkedIn - https://www.linkedin.com/in/markmonfort/
    👤 Mark on Twitter - https://twitter.com/captdefi

    SHOWNOTE LINKS
    🔗 SIKE - https://sike.ai/
    🌐Digital Village - https://digitalvillage.network/
    🌐NotCentralised - https://www.notcentralised.com/

    YouTube Channel: https://www.youtube.com/@DigitalNexusPodcast
    X (twitter): @DigitalNexus

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    51 分
  • How AI Could Heal a Generation Mental Health to AI Leader w/ Nicole Gibson
    2025/10/13

    Can AI help understand our emotional state? Nicole Gibson, founder of Love Out Loud and co-founder of inTruth, shares how a recovery journey became a product mission, and how she’s using AI in mental health to scale evidence-based impact, leadership, and a love-led culture.

    Watch for:
    From anorexia recovery to national advocate → AI product leader
    The origin of Love Out Loud and community design that changes behaviour
    inTruth: AI ethics, data consent, and measurable outcomes in mental health
    Product mindset for founders: ICP clarity, tight feedback loops, and validation before code
    Language, rituals, and narratives that convert without sensationalising trauma
    Practical advice for young leaders on purpose, pressure, and burnout

    🎙 Guest: Nicole Gibson — founder, author, former National Mental Health Commissioner; Love Out Loud, inTruth

    👥 Hosts: Chris & Mark — Digital Nexus Podcast (Australia)

    👉 Subscribe for founder stories from Australia’s AI ecosystem
    👉 Share this with someone building in health, education, or social impact

    Chapters

    00:00 From Rogue & Rouge to Love Out Loud, Nicole’s Mission
    05:30 Overcoming Anorexia: Nicole’s Turning Point
    10:59 Building Love Out Loud: From Grassroots to Movement
    16:28 Healing Mental Health: Shame, Support, Recovery
    21:56 Inside Eating Disorder Recovery: What Actually Helps
    27:27 Trauma, Belonging & Community Healing
    32:57 The Philosophy of Love Out Loud (Connection over Fear)
    38:26 inTruth by Nicole Gibson, Building a Trust Layer
    43:55 Compassion in Practice: Everyday Mental Health Tools
    49:25 inTruth in Action: Authenticity, Privacy & Safety
    54:55 Advice to Young Women: Finding Your Voice
    1:00:24 Founder Journey: Building Movements, Not Just Startups

    Links & Mentions

    Nicole Gibson — Love Out Loud / inTruth https://intruth.io/

    Digital Nexus Podcast — Chris & Mark (Australia) https://www.digitalnexuspodcast.com/

    Tools & topics: AI for mental health, ethical AI, customer validation, product mindset

    Why this matters
    If you’re a founder, designer, clinician, or policy maker, this episode is a practical blueprint for building ethical AI in mental health with real-world outcomes — from research and validation to community design and leadership.

    Hashtags

    #AI #MentalHealth #NicoleGibson #inTruth #LoveOutLoud #ProductMindset #EthicalAI #AustralianStartups #DigitalNexusPodcast

    Support the show

    Other Links
    🎙️our podcast links here: https://digitalnexuspodcast.com/
    👤Chris on LinkedIn - https://www.linkedin.com/in/pcsinclair/
    👤Mark on LinkedIn - https://www.linkedin.com/in/markmonfort/
    👤 Mark on Twitter - https://twitter.com/captdefi

    SHOWNOTE LINKS
    🔗 SIKE - https://sike.ai/
    🌐Digital Village - https://digitalvillage.network/
    🌐NotCentralised - https://www.notcentralised.com/

    YouTube Channel: https://www.youtube.com/@DigitalNexusPodcast
    X (twitter): @DigitalNexus

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    1 時間 4 分
  • Ep 38 | Prompt Like a Product Pro in ChatGPT & Claude: The 3-Phase System you must know (w/ Bastian Epskamp)
    2025/10/06

    Want clearer, more consistent AI outputs? In this episode, we break down three prompting skills that help founders, PMs, and UX leads go from idea → clickable MVP fast—using ChatGPT and Claude. Guest Bastian Epskamp shares his 3-phase system (prepare → implement → learn), how to ship prototypes stupid fast with V0/vibe-coding, and a case study on building Auction Buddy (AI for buyer-side property decisions).

    What you’ll learn

    The 3 skills: framing, constraint design, and iterative prompting (ChatGPT & Claude).
    Prompt templates that work: turn vague asks into structured tasks for reliable outputs.
    Speed to MVP: V0/vibe-coding, docs-as-leverage, tight feedback loops.
    Real product examples: how “Auction Buddy” scores inspections, plans bids, and does live auction maths.
    Team craft: pair human creativity with AI to reduce cycles and increase signal.

    Who this helps: Founders, product managers, and UX leads shipping LLM apps, agentic workflows, internal knowledge assistants, and customer-facing AI features.

    Timestamps:
    00:00 Intro — Meet Bastian (BE Innovations) & the “product lens”
    03:25 Why AI is a product superpower
    05:40 Early builds: Dreamweaver sites, custom PCs, first “maker” wins
    08:45 Research & prompting in practice (talk to AI like a teammate)
    16:05 Teams, mistakes, and building with intent
    19:30 Exit story → starting a strategy/innovation lab
    21:00 Monetisation & prioritisation: pick the sharpest pain points
    24:30 AI = remove repetition, keep judgment (why experience still matters)
    29:10 Aussie ecosystem: capital cycles, resilience, and pivots
    31:00 Upskilling across functions (seeing the whole system)
    35:30 Prompt frameworks that work (structure, constraints, examples)
    38:20 Rapid loop: Prepare → Execute → Learn
    39:10 Property tools: “Auction Buddy” & decision support for buyers

    👍 If this helped, like, subscribe, and share with a builder who needs faster MVPs.

    #ChatGPT #Claude #PromptEngineering #AIProduct #MVP #LLM #Prototyping #VibeCoding #Startups #UX

    Support the show

    Other Links
    🎙️our podcast links here: https://digitalnexuspodcast.com/
    👤Chris on LinkedIn - https://www.linkedin.com/in/pcsinclair/
    👤Mark on LinkedIn - https://www.linkedin.com/in/markmonfort/
    👤 Mark on Twitter - https://twitter.com/captdefi

    SHOWNOTE LINKS
    🔗 SIKE - https://sike.ai/
    🌐Digital Village - https://digitalvillage.network/
    🌐NotCentralised - https://www.notcentralised.com/

    YouTube Channel: https://www.youtube.com/@DigitalNexusPodcast
    X (twitter): @DigitalNexus

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    43 分
  • Ep 37 | 5 Product Traps Killing AI Projects (and What To Do Instead w/ Kurt Yang)
    2025/09/22

    Build Real AI Products (Fast): Product Manager to Community Builder with Kurt Yang (Fintech & EdTech, RAG, Embedded Finance)

    From banker to PM to community catalyst, Kurt Yang shares how non-engineers are shipping functional AI prototypes, validating with customers, and turning meetups into massive and strong ecosystems.

    Chapters:
    4:17 – Community lessons for PMs
    8:34 – De-risking AI with stakeholders
    12:50 – Tooling spotlight: Lovable in practice
    17:07 – Prototyping workflows that scale
    21:24 – Embedded finance & risk-based pricing
    25:41 – RAG in fintech/edtech (what works)
    29:57 – Stack, Supabase, and next steps

    What you’ll learn

    From frustration to community: how Kurt spun up GenAI for Fintech & EdTech and grew it to ~800 members.

    Lean PM, real signals: why working, functional prototypes beat pretty mockups—and how to run smoke tests with real users.

    Tooling that compounds: using Lovable + Supabase (+ ChatGPT) to ship usable prototypes you can measure.

    RAG, demystified: practical walkthroughs and when retrieval-augmented generation actually reduces hallucinations.

    Fintech shift: embedded finance + dynamic risk-based pricing and alternative credit scoring to hyper-personalised offers.

    Enterprise adoption: winning over senior stakeholders in regulated industries (trust, governance, records).

    Founder traps to avoid: solution-first bias, over-scoping; how to pick a lower-risk wedge to earn trust and revenue.

    Mindset: “Don’t just think, start.” Momentum over perfection.

    About Digital Nexus

    A founder-led podcast where Australia’s AI builders go beyond the hype with real workflows, decisions, and lessons from shipping. Hosted by Mark Monfort & Chris Sinclair.

    Support the show

    Other Links
    🎙️our podcast links here: https://digitalnexuspodcast.com/
    👤Chris on LinkedIn - https://www.linkedin.com/in/pcsinclair/
    👤Mark on LinkedIn - https://www.linkedin.com/in/markmonfort/
    👤 Mark on Twitter - https://twitter.com/captdefi

    SHOWNOTE LINKS
    🔗 SIKE - https://sike.ai/
    🌐Digital Village - https://digitalvillage.network/
    🌐NotCentralised - https://www.notcentralised.com/

    YouTube Channel: https://www.youtube.com/@DigitalNexusPodcast
    X (twitter): @DigitalNexus

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    35 分
  • Ep 36 | The CEO Who Cloned Herself To Run The Company — Michelle Gilmore (Juno leading AI research platform)
    2025/09/15

    Michelle Gilmore (CEO & Co-founder, Juno) built a digital twin of herself to scale her business. Juno conducts high-quality, qualitative interviews—turning Michelle's 20+ years, and 10,000+ research projects into an AI “listening engine.” We dive into how Juno runs real conversations at scale, why expertise-in-the-loop beats checkbox surveys, and how a digital twin lets a CEO focus on strategy while the AI handles the heavy lifting.

    Guest & company:
    Michelle Gilmore, CEO & Co-founder, Juno
    Juno is an AI research platform that runs real interviews on your behalf

    You’ll learn:
    What Juno actually does (and how it differs from “conversational surveys”)
    Why Michelle raised $2.8M from Blackbird Ventures to build a global “listening engine”
    How she captured her tacit expertise to train agents (principles, role-plays, competencies)
    Fear vs. reality: AI won’t replace her, it amplifies and scales her impact
    When AI is a feature vs. a product and why the answer is “it depends”

    Why this matters:
    Most teams still send surveys and get thin, leading data. Juno probes, follows up, and helps people articulate what they actually think and feel, so product and research teams can act with confidence.

    Key moments (chapters):
    00:00 Cold open & why “clone the CEO”
    06:00 From researcher to founder: Michelle’s path to Juno
    12:00 What Juno actually does (beyond surveys)
    18:00 Building the Digital Twin CEO: capturing tacit expertise
    24:00 Co-CEO in practice: decisions, prioritisation, removing the founder bottleneck
    33:00 Fear vs reality: risks, adoption, and what leaders get wrong about AI
    38:00 Scaling quality without burnout: ops, team, and metrics
    42:00 Founder playbook: what to delegate first + what’s next for Juno

    👋 New here? Subscribe for weekly founder and industry leader deep-dives on AI and product, a new episode every Tuesday!

    🔔 Hit the bell so you don’t miss the next founder story.

    Support the show

    Other Links
    🎙️our podcast links here: https://digitalnexuspodcast.com/
    👤Chris on LinkedIn - https://www.linkedin.com/in/pcsinclair/
    👤Mark on LinkedIn - https://www.linkedin.com/in/markmonfort/
    👤 Mark on Twitter - https://twitter.com/captdefi

    SHOWNOTE LINKS
    🔗 SIKE - https://sike.ai/
    🌐Digital Village - https://digitalvillage.network/
    🌐NotCentralised - https://www.notcentralised.com/

    YouTube Channel: https://www.youtube.com/@DigitalNexusPodcast
    X (twitter): @DigitalNexus

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    43 分
  • Ep 35 | Stop Using Spam Cannons The B2B Playbook That 5×’d Replies
    2025/09/02

    From IBM strategist to startup founder, Serena Lam is building Fuzzy AI to reshape B2B sales with hyper-personalized outreach. In this candid conversation, she shares her founder journey, lessons from building in AI, and where sales tech is heading next.

    👉 Expect practical founder advice, the realities of building with limited resources, and insights into how design thinking and AI workflows are changing the game.

    ⏱️ Chapter Timestamps

    0:00 – Intro & why Serena flew budget class from Singapore
    4:33 – How IBM shaped Serena’s mindset as a founder
    8:32 – First startups, painful failures & losing money early
    13:02 – The hardest part: finding (and keeping) the right tech co-founder
    17:48 – Inside Fuzzy AI: turning content & trust into 5x higher conversions
    22:01 – Killing the “spam cannon” & making outreach human again
    26:41 – Why Serena prototypes in Figma before writing a single line of code
    31:38 – AI tools Serena swears by (Claude, Perplexity, Bolt & more)
    35:54 – Which jobs AI will replace… and which remain uniquely human
    40:30 – The future of sales: cultural nuance, agentic AI & trust-based buying

    🔑 Key Takeaways

    🎯 Startups succeed when founders go all-in — half measures don’t work.

    🤖 AI isn’t just automation — it’s strategy amplification when applied right.

    🛠️ Design thinking + scrappy prototyping can save you months of wasted work.

    💡 The future of sales = humans handling trust + negotiation, AI doing the grind.

    💡 Enjoyed this episode? Subscribe for more AI founder stories & weekly Digital Nexus tech breakdowns!

    Support the show

    Other Links
    🎙️our podcast links here: https://digitalnexuspodcast.com/
    👤Chris on LinkedIn - https://www.linkedin.com/in/pcsinclair/
    👤Mark on LinkedIn - https://www.linkedin.com/in/markmonfort/
    👤 Mark on Twitter - https://twitter.com/captdefi

    SHOWNOTE LINKS
    🔗 SIKE - https://sike.ai/
    🌐Digital Village - https://digitalvillage.network/
    🌐NotCentralised - https://www.notcentralised.com/

    YouTube Channel: https://www.youtube.com/@DigitalNexusPodcast
    X (twitter): @DigitalNexus

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    50 分
  • Ep 34 | Aussie AI (Reality Check): From POCs to Product—What Changed?
    2025/08/25

    In this episode of Digital Nexus, we sit down with Sha-maybe Chan, Co-founder of Friyay and Wakey Wakey Sales, to unpack how AI is reshaping startups, SMEs, and big business in Australia.

    We cover:

    🚀 How startups can now build products without a tech co-founder
    📱 The story behind Wakey Wakey, an AI SMS sales assistant helping small businesses scale
    🏦 Why big corporates are finally moving past endless POCs and into real AI adoption
    🛠️ The rise of agentic workflows vs. AI agents — and what that means for service design
    💡 How founders can “build while flying” with today’s AI tools (Bolt, Cursor, Windsurf, Midjourney, etc.)
    🧠 The ethical, cultural, and human challenges of AI adoption — from junior job pathways to mental health chatbots

    00:00 Intro
    05:30 Backgrounds & early career
    08:30 Small business growth: SMS vs email; 'product‑a‑month'
    12:30 The Wakey story
    16:30 Enterprises: from POCs to compliant rollouts
    19:30 Where the pain is: manual checks & team ops
    23:30 Service design: account UX, cancel flows, blueprints
    29:00 Risk, value, and choosing bets
    34:00 Automation & shipping fast (prompts, traction)
    37:30 Vibe coding tools → personal app; VC outlook
    42:30 Wrap‑up + what’s next

    Links:
    Friyay - https://www.friyay.ai/
    Sha-Maybe linkedin - https://www.linkedin.com/in/shamaynechan/

    Podcast - https://www.digitalnexuspodcast.com/

    Other Links
    🎙️our podcast links here: https://digitalnexuspodcast.com/
    👤Chris on LinkedIn - https://www.linkedin.com/in/pcsinclair/
    👤Mark on LinkedIn - https://www.linkedin.com/in/markmonfort/
    👤 Mark on Twitter - https://twitter.com/captdefi

    SHOWNOTE LINKS
    🔗 SIKE - https://sike.ai/
    🌐Digital Village - https://digitalvillage.network/
    🌐NotCentralised - https://www.notcentralised.com/

    YouTube Channel: https://www.youtube.com/@DigitalNexusPodcast
    X (twitter): @DigitalNexus

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    43 分
  • Ep 32 | ChatGPT, Gemini, Claude and Perplexity DeepResearch Battle
    2025/06/10

    In Episode 32 of Digital Nexus, we go from the bush to the boardroom. Kev the Yowie returns as we unpack the latest in AI trends, Google’s Gemini V3, OpenAI’s new business features, and Perplexity’s research mode. We dive into AI adoption in Australia, explore how Perplexity outperforms in real-world research comparison tests, and showcase our entry into the world’s largest AI hackathon. Plus, we reveal how ambient agents and agentic workflows are quietly reshaping knowledge work and how businesses can futureproof their operations.

    🛠 Built with Bolt
    🚀 Sponsored by FEX Global
    🎯 Stay till the end for a side-by-side showdown of ChatGPT, Gemini, Claude, and Perplexity.

    ⏱️ Chapter Timestamps
    00:00 – Kev the Yowie returns + Intro banter + AI work we've been up to
    12:33 - Sike demo update
    13:52 – AI adoption in Australia: Productivity Commission report
    17:28 – AFR AI Awards + Aussie winners
    18:11 – Andrej Karpathy’s GPT model breakdown
    21:00 – Mary Meeker’s return with 340-page AI megareport
    24:05 – AI World’s Fair & newsletter automation workflows
    33:12 - Mistral Code
    37:05 – More OpenAI news: Memory upgrades for free users
    39:20 - ChatGPT connectors
    46:20 - Bolt World's largest hackathon and discussion of our joint project
    52:00 - Comparison Deep dive: Perplexity vs ChatGPT vs Gemini vs Claude

    Show links:
    Aus Gov releasing AI Adoption Tracker - https://www.industry.gov.au/publications/ai-adoption-tracker
    Karpathy explainers on current state of LLMs - https://x.com/karpathy/status/1929597620969951434
    AFR AI Summit Articles- https://www.afr.com/afrlive/ai-summit
    Mary Meeker report - 340 page - https://www.bondcap.com/report/tai/
    Mistral Code client - https://techcrunch.com/2025/06/04/mistral-releases-a-vibe-coding-client-mistral-code/
    Anthropic AI writing it’s own blog articles with human oversight - https://techcrunch.com/2025/06/03/anthropics-ai-is-writing-its-own-blog-with-human-oversight/
    Chat GPT updates for plus users - https://www.financialexpress.com/life/technology-openai-upgrades-chatgpt-for-free-and-plus-users-check-out-new-features-you-can-enjoy-3868505/
    OpenAI introduces new business features - https://techcrunch.com/2025/06/04/chatgpt-introduces-meeting-recording-and-connectors-for-google-drive-box-and-more/

    Support the show

    Other Links
    🎙️our podcast links here: https://digitalnexuspodcast.com/
    👤Chris on LinkedIn - https://www.linkedin.com/in/pcsinclair/
    👤Mark on LinkedIn - https://www.linkedin.com/in/markmonfort/
    👤 Mark on Twitter - https://twitter.com/captdefi

    SHOWNOTE LINKS
    🔗 SIKE - https://sike.ai/
    🌐Digital Village - https://digitalvillage.network/
    🌐NotCentralised - https://www.notcentralised.com/

    YouTube Channel: https://www.youtube.com/@DigitalNexusPodcast
    X (twitter): @DigitalNexus

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    59 分