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Women Disrupting Tech
Women Disrupting Tech
Author: Dirkjan Hupkes
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Women Disrupting Tech features female founders, tech leaders, and women in tech building the next generation of technology companies. Each week, host Dirkjan Hupkes talks with a founder about how she's scaling a startup, navigating funding, building resilient teams, and tackling challenges from AI ethics to healthcare innovation to climate tech. Whether you're a female tech entrepreneur, aspiring founder, startup leader, or advocate for more women in technology, this show gives you actionable strategies and proven frameworks from women reshaping tech. New episodes every Thursday.
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More than half of Dutch citizens live with a chronic disease, and over 70% of supermarket products are ultra-processed.In this episode of Women Disrupting Tech, I talk with Anke Kuik, co-founder and CEO of FLTRD, about turning a personal interest in nutrition into a tool that helps people navigate the supermarket. Anke walks me through the science behind PureScore, why popular nutrition labels can be misleading, and the founder decisions that took FLTRD from an outsourced prototype to more than 30,000 downloads.This episode is for female founders and women in tech building health tech products, women entrepreneurs curious about the science behind nutrition apps, and any startup leader deciding when to bring technical development in-house.What you'll learn in this episode:Why more than half of Dutch citizens live with a chronic disease, largely driven by lifestyle.How the "food matrix" explains why isolated vitamins or fiber don't work like whole food does.Why FLTRD built its own PureScore instead of relying on nutrition scores that can be gamed.Why outsourcing app development early on slowed FLTRD down and cost more than expected.Why bringing a technical co-founder in-house was Anke's best decision for FLTRD.How FLTRD keeps its scanning tool free while building a B2B model with supermarkets.What Anke looks for in investors beyond capital: retail, FMCG, and dietary network expertise.Chapters:00:00 Introduction to Anke Kuik and FLTRD06:55 Developing the concept and building the first app12:01 Why healthy supermarket choices are so difficult14:21 What "ultra-processed" food really means18:09 PureScore vs. Nutriscore22:56 Personal responsibility, pricing, and the food system25:10 How the PureScore works29:03 Scanning products and choosing better alternatives31:19 Keeping the app free and building a business model34:40 Working with supermarkets and the B2B opportunity37:35 Fundraising, traction, and growth plans39:52 Health impact and scientific validation43:18 Publicity, media attention, and founder visibility46:40 How bringing a CTO in-house changed the company49:00 Finding investors with strategic value50:10 Advice for an AI-powered founder funding platform54:06 Where to find FLTRD & closingShow notes:Blog: https://womendisruptingtech.blog/2026/09/17/episode-170/Substack: https://womendisruptingtech.substack.com/p/episode-170Connect with Anke Kuik and FLTRD:LinkedIn: https://www.linkedin.com/in/ankekuik/Website: https://www.fltrd.nl/App:Download the FLTRD app in the Apple App Store or Google Play Store.Instagram: https://www.instagram.com/fltrd.nl/Connect with Dirkjan Hupkes:LinkedIn: https://www.linkedin.com/in/dirkjan-hupkes/Funding Coach tool: https://fundingcoach.aiSubstack: https://womendisruptingtech.substack.com/About Women Disrupting TechEvery week, Women Disrupting Tech covers the decisions, patterns, and structural realities that female founders and investors rarely discuss in public but run into every time they meet. Follow to get it in your feed.🎧 Listen to Women Disrupting Tech on Spotify, Apple Podcasts, or YouTube.👉 Subscribe for more conversations with women building the future of health tech.
Juliette is the creator of the AI Flower Framework and founder of the AI Flower Foundation. She spent a year mapping how AI could impact her job as an engineering manager, and discovered why so many AI pilots don’t scale.She turned what she found into an open-source AI framework that maps 152 IT activities against 25 levels of AI capability to show what evolves, fossilizes, or stays human work.Whether you’re a founder, engineering leader, or a woman in tech looking for a concrete way to find out whether AI is actually the right solution to your problem, this episode will give you the three questions you need to ask before you start.What you'll learn in this episode:Why most AI pilots stall before they ever scaleWhy "ten percent wrong" becomes "one hundred percent wrong" once AI touches itThe three questions to ask before reaching for AI: AI, automation, or a system fixHow 152 IT activities map against 25 levels of AI capabilityWhy she kept the framework open source instead of charging for itWhat her own redundancy taught her about staying in control of her careerHer one safeguard for any AI tool that recommends or matches peopleChapters:00:00 Introducing Juliette van der Laarse and the AI Flower framework05:19 From childhood programming to AI research and corporate engineering leadership08:17 Why Juliette started the framework: clarity, career impact, and AI transformation10:05 Why pilot-first AI strategies often stall at the business case stage13:35 Why pilots are useful but not enough for enterprise-wide change16:35 How the framework addresses fear, trust, and job stability19:11 Juliette's redundancy experience and what it taught her about career resilience27:33 Will AI take all jobs, and what has to happen before that becomes realistic29:51 System readiness, regulation, and why some work may stay human32:06 AI overhype versus useful automation33:50 Why shallow IT training can lead teams to overuse AI36:57 How mentoring and senior coaching could scale knowledge better41:10 The structure of the AI Flower: activities, standards, and excellence48:02 AI capability as 25 levels of maturity and scope51:49 Mapping AI capability to IT activities and fossilization of tasks54:57 How the model shows role evolution across DevOps, test, and infrastructure work59:27 Capturing undocumented knowledge and local context in companies1:03:06 Building internal knowledge gathering and documentation workflows with AI1:09:21 Peer review, critique, and building a board of naysayers1:15:46 How the framework changes over time while keeping a stable structure1:18:41 Why the framework is open source instead of monetized1:25:40 Using the model to map AI risk and suggest controls1:30:06 Where companies should start, and the biggest mistake to avoid1:35:23 Why Juliette is setting up a foundation around the framework1:37:35 Safeguards for an AI funding coach and avoiding self-reinforcing bias1:41:15 Where to follow Juliette as the foundation and framework growShow notes: Blog: https://womendisruptingtech.blog/2026/09/10/episode-169/Substack: https://womendisruptingtech.substack.com/p/episode-169?r=2v0lts&utm_campaign=post&utm_medium=web&showWelcomeOnShare=trueConnect with Juliette van der Laarse and the AI Flower FoundationJuliette: https://www.linkedin.com/in/juliettevanderlaarse/AI Flower Foundation: https://www.linkedin.com/company/ai-flower-foundation/Connect with host Dirkjan HupkesLinkedIn: https://www.linkedin.com/in/dirkjan-hupkes/FundingCoach website: https://fundingcoach.aiSubstack: https://womendisruptingtech.substack.com/About Women Disrupting TechEvery week, Women Disrupting Tech covers the decisions, patterns, and structural realities that female founders and investors rarely discuss in public but run into every time they meet. Follow to get it in your feed.🎧 Also available on Spotify, Apple Podcasts, or Amazon Music.👉 Subscribe for more conversations with women building the future of tech.
Karianne Kraaijestein spent years building resilience through sport, from gymnastics to indoor climbing to yoga, before starting triathlons at 47. Now she's the founder of Adaptive, a coaching platform for female endurance athletes navigating a different kind of endurance test: the hormonal transition.In this episode, we talk about her own journey in endurance sports, why she is focusing on women who are in a hormonal transition, and what data is needed to enable peak performance for women at this stage of their lives.If you're an endurance athlete in perimenopause or postmenopause, or you coach one, and training has stopped working for reasons nobody can quite explain, this episode has pointers on where to look for strategies that improve performance.For female founders and women in tech building trust-dependent products in spaces where the data doesn't exist yet, Karianne provides insights that can help you navigate the early stages.What you'll learn in this episode:Why standard training plans, built for a generic body, fail women in the hormonal transitionWhy tracking sleep, heat regulation, and training load matters more than tracking hormones directlyHow Karianne finished part of the S’GRAIL in Girona on a torn ACL, and what that taught her about riskWhy "too much heart and not enough mind" bankrupted her previous yoga studio, and what she's doing differently with AdaptiveWhy she considers a scientific advisory board the biggest de-risking factor for investors in a trust-dependent productHow letting the community "almost be part of the building" shapes Adaptive's product developmentChapters:00:00 Introduction04:45 About Karianne and Adaptive07:33 The Journey into Endurance Sports10:28 Mental Challenges in Endurance Sports13:29 The Importance of Goal Setting16:22 Navigating Individuality in Triathlons19:14 Overcoming Physical Setbacks22:20 The Recovery Process and Age Factors25:01 Building Adaptive for Women28:13 Understanding Hormonal Transitions31:05 Energy Management and Training Adjustments34:11 The Role of Data in Training36:43 Adaptive's Unique Approach39:49 Integrating Research into Adaptive41:33 The Power of Athlete Data42:47 Research Collaborations and Insights44:17 Understanding Amateur vs. Professional Athletes45:30 Adaptive vs. Competitors in Women's Fitness46:38 Building a Community for Endurance Athletes47:55 Coaching Integration with Adaptive49:23 Business Model and Pricing Strategy52:56 Proving the Business Case for Adaptive55:41 Data Privacy and Trust Issues1:00:10 The Role of Community in Data Sharing1:01:34 Building Trust with Scientific Validation1:03:20 Future Expansion and Market Opportunities1:04:46 Navigating Burnout and Performance1:09:22 Lessons from Past Experiences1:12:50 Design Principles for Personalized Solutions1:15:01 Connecting with Karianne, Adaptive and Future PlansShow notesBlog: https://womendisruptingtech.blog/2026/09/03/episode-168/Substack: https://womendisruptingtech.substack.com/p/episode-168Connect with Karianne Kraaijestein and AdaptiveLinkedIn: https://www.linkedin.com/in/kariannekraaijestein/Connect with host Dirkjan HupkesLinkedIn: https://www.linkedin.com/in/dirkjan-hupkes/FundingCoach.ai: https://fundingcoach.aiSubstack: https://womendisruptingtech.substack.com/About Women Disrupting TechEvery week, Women Disrupting Tech covers the decisions, patterns, and structural realities that female founders and investors rarely discuss in public but run into every time they meet. Follow to get it in your feed.🎧 Also available on Spotify, Apple Podcasts, or Amazon Music.👉 Subscribe for more conversations with women building the future of health tech.
Only 3% of people who show up to an event went looking for it. The other 97% came because someone they trust was already going.In this episode of Women Disrupting Tech, I talk with Elise Mol, co-founder of Bash, a platform that helps event organizers turn ticket buyers into a community-driven marketing engine. We explore why exclusive early access beats public discounts, why the events industry is under more financial pressure than most people assume, and what it takes to build trust-based growth instead of relying on paid ads.What you’ll learn in this episodeWhy public “early bird” discounts fail to reward loyal community members, and what exclusive access does insteadWhy your first ticket buyers act as an organic marketing channel in the months before an eventHow the “plus-one” system turns a single ticket into a referral loop through WhatsApp and other personal channelsWhy the post-COVID events industry is under more financial pressure than headlines suggestWhy BASH chose to work with organizers who already understood their model, rather than trying to convince skepticsWhy proving one local market matters more than international expansion early onA simple practice for turning routine tasks like washing the dishes into space for solving hard problemsChapters00:00 Introduction04:50 BASH and Its Origins07:04 The Impact of COVID-19 on Event Planning10:05 Transitioning from User to Organizer Focus12:53 Challenges Faced by Event Organizers Post-COVID16:08 The Importance of Early Ticket Sales18:51 Building Community and FOMO in Event Marketing21:46 BASH’s Role in Supporting Event Organizers26:43 The Art of Event Organization32:46 Building Community Through Events38:39 Scaling and Cultural Considerations42:38 Goal Setting and Company Growth46:09 Design Principles for Trust and BelongingMore about the episodeBlog: https://womendisruptingtech.blog/2026/08/27/episode-167/Substack: https://womendisruptingtech.substack.com/p/episode-167Connect with Elise Mol and BASHElise Mol on LinkedIn: https://linkedin.com/in/elisemolBASH: https://bash.socialConnect with host Dirkjan HupkesLinkedIn: https://www.linkedin.com/in/dirkjan-hupkes/FundingCoach: https://fundingcoach.aiAbout Women Disrupting TechEvery week, Women Disrupting Tech covers the decisions, patterns, and structural realities that female founders and investors rarely discuss in public but run into every time they meet. Follow to get it in your feed.🎧 Also available on Spotify, Apple Podcasts, or Amazon Music.👉 Subscribe for more conversations with women building the future of tech.
A third of a GP’s working week goes to admin, and 42% of UK GPs say they want to leave the profession within five years. Dr. Hannah Allen left clinical practice to fix that, and now leads clinical strategy at Heidi, an AI scribe used by clinicians in over 110 countries.In this episode of Women Disrupting Tech, I talk with Dr. Hannah Allen, Chief Medical Officer at Heidi, about what happens when you take the keyboard out of the exam room. Hannah trained as a doctor focused on women’s health before moving into health tech. She’s still a practicing GP, running a women’s health clinic while leading the clinical function at Heidi. She explains why she believes technology’s real job in medicine isn’t replacing clinical judgment; it’s giving doctors their attention back. This episode is for founders building in health tech or other regulated industries, for clinicians curious about how AI actually fits into their day, and for anyone who wants to understand where women’s health data is still missing from medicine.What you’ll learn in this episode:* Why a third of a GP’s week goes to admin, and how that connects to the 42% of UK GPs who say they want to leave the profession within five years* Why over 90% of patients feel more listened to when their doctor uses an AI scribe like Heidi* Why building healthcare AI requires regional, linguistic, and cultural adaptation from day one, not as an afterthought* Why up to 75 to 80% of clinicians already use some form of AI, even as most say they’re skeptical of it* Why how a woman’s body behaves during pregnancy can predict her health decades later, and why that data mostly goes uncaptured* Why female founders get “preventer” questions from VCs while male founders get “promoter” questions, and what Hannah does to counter that* Why Hannah tells founders to obsess over the problem, not the productChapters:00:00 Introduction04:35 Introduction to Dr. Hannah Allen07:32 Transitioning from Medicine to Tech10:31 The Role of Technology in Healthcare13:43 Global Healthcare Challenges17:15 Predicting Women’s Health Issues21:20 AI in Healthcare: Opportunities and Concerns25:18 Heidi: Revolutionizing Clinical Workflows27:14 The Rise of Heidi: Word of Mouth Success28:50 Measuring Impact: Time Savings and Burnout Reduction30:01 Expanding Horizons: Beyond Documentation32:03 The Role of AI in Clinical Practice35:18 Transforming Patient Interactions with AI39:01 Patient Feedback and Trust in AI43:50 The Human Element in Healthcare45:04 Future Vision: A Seamless Healthcare Experience47:18 Advice for Founders: Building for Real Problems50:44 Closing Thoughts and ResourcesMore about the episodeShow Notes: https://womendisruptingtech.blog/2026/08/20/episode-166/Substack: https://womendisruptingtech.blog/2026/08/20/episode-166/Connect with Dr. Hannah Allen and HeidiLinkedIn: https://www.linkedin.com/in/dr-hannah-a-a27ba650/Heidi website: https://www.heidihealth.com/en-ieHeidi LinkedIn: https://www.linkedin.com/company/heidi/More about the TEDx Coolhaven Women event on 9 October in RotterdamMore about the event: https://www.ted.com/tedx/events/68333Buy your tickets at: https://www.eventbrite.nl/e/tedx-coolhaven-women-the-new-builders-tickets-1992166654090?aff=oddtdtcreator&keep_tld=trueUse code WDT25 for an exclusive 25% discount.Connect with host Dirkjan HupkesLinkedIn: https://www.linkedin.com/in/dirkjan-hupkes/FundingCoach.ai: https://fundingcoach.aiSubstack: https://womendisruptingtech.substack.com/About Women Disrupting TechEvery week, Women Disrupting Tech covers the decisions, patterns, and structural realities that female founders and investors rarely discuss in public but run into every time they meet. Follow to get it in your feed.🎧 Listen to Women Disrupting Tech on Spotify, Apple Podcasts, or YouTube.👉 Subscribe for more conversations with women building tech from the ground up.








