
Insights from recent episode analysis
Audience Interest
Podcast Focus
Publishing Consistency
Platform Reach
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Most discussed topics
Brands & references
Total monthly reach
Estimated from 1 chart position in 1 market.
By chart position
- 🇪🇸ES · Management#9710K to 30K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
5K to 15K🎙 ~2x weekly·108 episodes·Last published 3w ago - Monthly Reach
Unique listeners across all episodes (30 days)
10K to 30K🇪🇸100% - Active Followers
Loyal subscribers who consistently listen
4K to 12K
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
From 12 epsHost
Recent guests
Recent episodes
Season 4 Ep 27: Louise Humpington
Jun 4, 2026
32m 50s
Season 4 Ep 26: Tara O'Kane
May 27, 2026
39m 26s
Season 4 Ep 25: Kalina Tomova
May 6, 2026
39m 24s
Season 4 Ep 24: Gita Singham-Willis
Apr 19, 2026
34m 27s
Season 4 Ep 23: Alex Winward
Apr 8, 2026
37m 45s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 6/4/26 | ![]() Season 4 Ep 27: Louise Humpington✨ | Diversity in AIAI Bias+3 | Louise Humpington | — | — | DiversityEquity+7 | — | 32m 50s | |
| 5/27/26 | ![]() Season 4 Ep 26: Tara O'Kane✨ | Women in TechMentorship+3 | Tara O'Kane | AWS She Builds Program | — | Women in TechMentorship+3 | — | 39m 26s | |
| 5/6/26 | ![]() Season 4 Ep 25: Kalina Tomova✨ | Women in TechConfidence Building+4 | Kalina Tomova | — | — | women in techconfidence+4 | — | 39m 24s | |
| 4/19/26 | ![]() Season 4 Ep 24: Gita Singham-Willis✨ | Digital TransformationWomen in Tech+5 | Gita Singham-Willis | — | — | Digital TransformationWomen in Tech+5 | — | 34m 27s | |
| 4/8/26 | ![]() Season 4 Ep 23: Alex Winward✨ | Women in DataChallenges in the Workplace+3 | Alex Winward | Scottish Widows | — | Women in TechData Strategy+3 | — | 37m 45s | |
| 3/26/26 | ![]() Season 4 Ep 22: Natalia Kotova✨ | data managementgender imbalance+4 | Natalia Kotova | She Leads | — | data managementgender imbalance+5 | — | 25m 00s | |
| 3/14/26 | ![]() Season 4 Ep 21: Sophie Fraser✨ | women's behaviorgrowth mindset+5 | Sophie Fraser | — | — | women's behaviorgrowth mindset+5 | — | 46m 09s | |
| 3/6/26 | ![]() Season 4 Ep 20: Carla Francome✨ | Women in TechDiversity in Tech+3 | Carla Francome | — | — | Carla FrancomeWomen in Tech+4 | — | 38m 24s | |
| 2/26/26 | ![]() Season 4 Ep 19: Lydia Ray✨ | career transitionmentoring+4 | Lydia Ray | — | — | career transitionmentoring+6 | — | 28m 52s | |
| 2/17/26 | ![]() Season 4 Ep 18: Amanda Parkin✨ | Women in TechCareer Challenges+4 | Amanda Parkin | — | — | Women in TechAI+5 | — | 33m 20s | |
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| 1/20/26 | ![]() Season 4 Ep 17: Rosanne Werner✨ | Women in DataLeadership Styles+4 | Rosanne Werner | — | — | data strategywomen in technology+5 | — | 38m 49s | |
| 1/7/26 | ![]() Season 4 Ep 16: Assel Altayeva✨ | STEAM challengesgender stereotypes+4 | Assel Altayeva | — | — | STEAMgender stereotypes+5 | — | 39m 51s | |
| 12/18/25 | ![]() Season 4 Ep 15: Sarah Wyer | I sat down with Sarah Wyer and this is what we discussed:Introduction and Background of Sarah Wyer (0:03)Sarah's Research Journey and Inspirations (1:18)Initial Explorations with GPT-2 and GPT-3 (5:42)Detailed Analysis of GPT-3 Data (8:57)Impact of GPT-4 and GPT-5 Models (14:33)Broader Implications and Societal Impact (34:24)Conclusion and Future Directions (43:18) | — | ||||||
| 12/11/25 | ![]() Season 4 Ep 14: Helen Mannion | I sat down with Helen and what a fantastic conversation it was! Here is what we discussed:Helen's Background and Career Journey (0:04)Reflecting on Personal Experiences with Bias (2:14)Overcoming Imposter Syndrome and Building Confidence (8:59)Building Intentional and Inclusive Teams (20:01)Advice for Women in Data and Tech (20:16)The Role of Workplace Culture in Career Success (34:35)Navigating Microaggressions and Building Resilience (38:41)Building a Supportive Network (38:57)The Importance of Reflection and Self-Awareness (39:16)Final Thoughts and Advice for Emerging Leaders (39:34) | — | ||||||
| 12/8/25 | ![]() Season 4 Ep 13: Jeff Baker | I sat down with Jeff Baker and there’s a very good reason he’s on the show. Enginuity, the company Jeff works for, has co-authored a remarkable book in the engineering space called Girls Can Engineer, designed to raise awareness and inspire greater female participation in the industry. It’s an outstanding initiative, and I wanted to help shine a brighter light on the work they’re doing.Here’s what we discussed:Introduction and Background of Jeff Baker (0:04)Introduction of the "Girls Can Engineer" Book (1:06)Content and Impact of the "Girls Can Engineer" Book (3:32)Challenges and Opportunities in the Engineering Sector (9:00)Retention and Succession Challenges in Engineering (16:08)Future Prospects and Vision for Women in Engineering (24:07)Conclusion and Next Steps (26:47) | — | ||||||
| 11/25/25 | ![]() Season 4 Ep 12: Susan Walsh | I spoke to Susan Walsh and this is what we discussed: (for some reason the timings were all messed up, so you got the outline)IntroductionSusan Walsh's Background and BusinessChallenges and Experiences of Women in Data and TechBarriers and Solutions for Women in EventsBuilding Confidence and Overcoming HesitancyThe Role of Visibility and NetworkingDealing with Feedback and CriticismAdvice for Women Entering Data and TechFinal Thoughts and EncouragementConclusion and Farewell | — | ||||||
| 11/14/25 | ![]() Season 4 Ep 11: Sowjanya Shetty | I sat down with Sowjanya and what a conversation it was! Here is what we discussed:Sowjanya Shetty's Background and Early Life (0:03)Education, Career, and Early Career Challenges (2:12)Observations on Power and Corporate Culture (9:32)Navigating Corporate Life and Personal Growth (17:51)Career Transition and Personal Identity (21:58)Advice for Women in the Workforce (37:29)Final Thoughts and Future Plans (39:31) | — | ||||||
| 10/29/25 | ![]() Season 4 Ep 10: Jolie Vitale | I sat down with Jolie Vitale and we had a wonderful and insightful conversation. Here is what we discussed:Jolie's Career Journey and BackgroundChallenges and Opportunities for Women in Data and Tech (3:13)Self-Awareness and Leadership Skills (16:27)Balancing Work and Family Life (16:48)Impact of COVID-19 on Work-Life Balance (21:06)Leadership Traits and Gender Differences (22:12)Advice for Upcoming Female Leaders (25:33)Advice for the Next Generation (27:36) | — | ||||||
| 10/20/25 | ![]() Season 4 Ep 9: Maria Rosa Torres | I sat down with Maria Torres and we had a great conversation. Here is what we discussed:Introduction (0:03)Maria's Background and Career (1:35)Challenges Faced by Latin American Women in the UK (3:43)Navigating Cultural and Gender Biases (8:29)Adapting to Corporate Culture and Building Resilience (12:59)Support and Allies in the Corporate World (18:45)Latin American Women's Rights Service (21:48)Challenges of Quantifying the Latin American Population (25:38)Advice for Young Latin American Women in the Corporate World (30:23)Conclusion and Final Thoughts (34:07) | — | ||||||
| 10/10/25 | ![]() Season 4 Ep 8: Tori Galloso May | I sat down with Tori and what a brilliant conversation it was. Here is what we discussed:Tori's Background and Career Journey (0:03)Changes in Tech Industry and Work-Life Balance (5:22)Challenges and Support for Women in Tech (11:17)Imposter Syndrome and Confidence Building (14:07)Returning to Work After Career Breaks (40:10)Advice for Women Entering and Returning to Tech (42:21)Final Thoughts and Conclusion (45:36) | — | ||||||
| 10/2/25 | ![]() Season 4 Ep 7: Heather Wade | I sat down with Heather and what a fantastic conversation it was. Here is what we discussed:Introduction and Background of Heather (0:00)Challenges Faced by Women in Data and Tech (2:22)Handling Discrimination and Building Confidence (5:44)Statistics on Gender Bias and Discrimination (10:43)Initiatives to Support Women in Tech (14:20)The Role of Mentorship and Career Progression (21:10)Imposter Syndrome and Building Resilience (25:43)The Impact of AI on Women in Tech (31:26)Advice for Young Women Entering the Tech Industry (36:35)Conclusion and Final Thoughts (43:37) | — | ||||||
| 9/29/25 | ![]() Season 4 Ep 6: Meenu Howland | It was great to sit down with Meenu and discuss the following:Meenu's Background and Journey into Data (0:02)Her new book and Role in Data and Tech (2:53)Challenges and Biases Faced by Women in Data and Tech (5:27)Impact of Cultural Background and Adaptability (7:36)Leadership Styles and Gender Dynamics (17:27)Current State of Women in Data and Tech (20:44)Advice for Women Entering Data and Tech (26:29) | — | ||||||
| 9/1/25 | ![]() Season 4 Ep 5: Liz Henderson | I sat down with Liz to discuss her career, her early years where she learned to say yes to everything, leading teams and much more. Here is what we discussed:Liz's Background and Early Career (0:03)Transition to Analytics and Data Career (4:53)Challenges and Lessons in Leadership (7:03)Overcoming Fear and Building Confidence (12:02)Addressing Bias and Supporting Women in Tech (19:21)Encouraging Women in Data and Tech (34:25)Final Thoughts and Advice for Women in Data (34:46) | — | ||||||
| 8/15/25 | ![]() Season 4 Ep 4: Zoe Kelly | I sat down with Zoe to discuss her career, the impact she's made and her experiences within data with bias. Here is what we discussed:Zoe Kelly's Background and Career Journey (0:00)Challenges and Opportunities in the Data Industry (3:56)Experiences and Perceptions of Bias in the Workplace (5:22)Building Confidence and Overcoming Challenges (11:24)Mentorship and Networking (17:27)Promoting Inclusion and Supporting Women in Tech (23:37)Future Aspirations and Career Goals (31:50)The Role of Data Products and Empathy in Tech (32:05)Final Thoughts and Encouragement (35:49) | — | ||||||
| 7/31/25 | ![]() Season 4 Ep 3: Frances O'Rafferty | I spoke with Frances O'Rafferty about her journey from dancer to data. Both careers start with a d :-)Here is what we spoke about:Her Background and Early Career (0:03)Transition to Accenture and Career Progression (3:13)Challenges and Biases in Corporate Environments (5:14)Leadership Styles and Team Dynamics (10:00)Barriers and Opportunities for Women in Data and Tech (17:27)Advice for Emerging Leaders (26:04)Personal Reflections and Continuous Improvement (28:04) | — | ||||||
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Chart Positions
1 placement across 1 market.
Chart Positions
1 placement across 1 market.
