
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.
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Total monthly reach
Estimated from 4 chart positions in 4 markets.
By chart position
- 🇦🇺AU · Technology#1385K to 30K
- 🇰🇷KR · Technology#1721K to 10K
- 🇫🇮FI · Technology#108500 to 3K
- 🇭🇰HK · Technology#159500 to 3K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
2.1K to 14K🎙 Daily cadence·307 episodes·Last published 1w ago - Monthly Reach
Unique listeners across all episodes (30 days)
7K to 46K🇦🇺65%🇰🇷22%🇫🇮7%+1 more - Active Followers
Loyal subscribers who consistently listen
2.8K to 18K
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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
AI tips & tricks (Ep. 307)
May 19, 2026
54m 46s
AI and videogames: Conversational NPCs (Ep. 306)
May 7, 2026
52m 15s
AI and videogames (Ep. 305)
May 5, 2026
49m 35s
Europe, wake up! You Can't Be a Superpower on Someone Else's Servers (Ep. 304)
Apr 21, 2026
28m 11s
Social media is an ant mill (Internet is a disaster) (Ep. 303)
Apr 7, 2026
33m 39s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 5/19/26 | ![]() AI tips & tricks (Ep. 307) | Some of the most asked questions on the channel. Here answered. Buy me a coffee https://ko-fi.com/datascience Discord Channel: https://discord.gg/4UNKGf3 ✨ Connect with us! Personal newsletter: https://defragzone.substack.com 📩 Newsletter: https://datascienceathome.substack.com 🎙 Podcast: Available on Spotify, Apple Podcasts, and more. 🐦 Twitter: @DataScienceAtHome 📘LinkedIn: https://www.linkedin.com/in/fragadaleta/ Instagram: https://www.instagram.com/datascienceathome/ Facebook: https://www.facebook.com/datascienceAH LinkedIn: https://www.linkedin.com/company/data-science-at-home-podcast SPONSORS This episode is brought to you by Outshift, Cisco's incubation engine. Check outshift.com NEW TO DATA SCIENCE AT HOME? Welcome! Data Science at Home explores the latest in AI, data science, and machine learning. Whether you’re a data professional, tech enthusiast, or just curious about the field, our podcast delivers insights, interviews, and discussions. Learn more at https://datascienceathome.com SEND US MAIL! We love hearing from you! Send us mail at: hello@datascienceathome.com Don’t forget to like, subscribe, and hit the 🔔 for updates on the latest in AI and data science! | 54m 46s | ||||||
| 5/7/26 | ![]() AI and videogames: Conversational NPCs (Ep. 306)✨ | AIvideogames+4 | — | CiscoSpotify+6 | — | NPCsvideogames+5 | Outshift | 52m 15s | |
| 5/5/26 | ![]() AI and videogames (Ep. 305)✨ | AIvideogames+3 | — | CiscoSpotify+6 | — | AIvideogames+3 | Outshift | 49m 35s | |
| 4/21/26 | ![]() Europe, wake up! You Can't Be a Superpower on Someone Else's Servers (Ep. 304)✨ | tech sovereigntydefense industrial base+4 | — | Cisco | Europe | tech sovereigntyEurope+4 | Outshift | 28m 11s | |
| 4/7/26 | ![]() Social media is an ant mill (Internet is a disaster) (Ep. 303)✨ | social mediainternet+4 | — | Data Science at HomeSpotify+7 | — | social mediainternet disaster+3 | — | 33m 39s | |
| 4/2/26 | ![]() About Apple's Privacy (Ep. 302)✨ | privacytechnology+3 | — | iPhoneApple+2 | — | privacyApple+5 | — | 45m 40s | |
| 3/31/26 | ![]() Productivity is the new data breach (Ep. 301)✨ | corporate espionageAI+3 | — | ChatGPTData Science at Home+6 | — | data breachcorporate espionage+3 | — | 32m 46s | |
| 3/6/26 | ![]() Programmable Money: The Cage They'll Call Convenience (Ep. 300)✨ | programmable moneytechnology+4 | — | Data Science at HomeSpotify+6 | — | programmable moneywallet+4 | — | 24m 37s | |
| 3/3/26 | ![]() There Is No AI. There's a Stateless Function on 10,000 GPUs Pretending to Know You (Ep. 299)✨ | AIdata science+3 | — | Data Science at HomeSpotify+5 | — | AIstateless function+3 | — | 39m 29s | |
| 1/30/26 | ![]() Your Favorite AI Startup is Probably Bullshit (Ep. 298) [RB]✨ | AI investmentventure capital+4 | — | ChatGPTSilicon Valley+1 | — | AI startupventure capital+5 | — | 12m 20s | |
Want analysis for the episodes below?Free for Pro Submit a request, we'll have your selected episodes analyzed within an hour. Free, at no cost to you, for Pro users. | |||||||||
| 1/28/26 | ![]() Why AI Researchers Are Suddenly Obsessed With Whirlpools (Ep. 297) [RB]✨ | AIneural networks+4 | — | VortexNet | — | VortexNetwhirlpools+6 | Statistical HorizonsDATA25 | 33m 15s | |
| 1/10/26 | ![]() AGI: The Dream We Should Never Reach (Ep. 296)✨ | AGIAI technology+3 | — | NYU | — | AGIAI experts+5 | — | 45m 41s | |
| 12/22/25 | ![]() When Data Stops Being Code and Starts Being Conversation (Ep. 297)✨ | data generationAI+4 | Mark Brocato | MockarooTonic.ai | — | data generationAI agent+5 | Statistical HorizonsDATA25 | 33m 37s | |
| 11/25/25 | ![]() Your AI Strategy is Burning Money: Here's How to Fix It (Ep.295) | Most companies don't have an AI problem. They have a decision-making problem. Matt Lea, founder of Schematical and CloudWarGames, has spent nearly 20 years helping tech leaders ship smarter. In this conversation, he breaks down when AI actually makes sense, where AWS costs spiral out of control, and why your "cool demo" keeps dying before launch. If you're tired of AI hype and ready for straight answers, hit play. Join the conversation! Our Discord community is full of ML engineers, researchers, and AI enthusiasts discussing papers, sharing projects, and helping each other level up. Whether you're debugging your first neural net or training your tenth transformer, there's a place for you. Newsletter https://datascienceathome.substack.com/subscribe Website https://datascienceathome.com References http://schematical.com https://cloudwargames.com https://schematical.com/posts/we-need-ai_20241028 | 31m 58s | ||||||
| 11/11/25 | ![]() From Tokens to Vectors: The Efficiency Hack That Could Save AI (Ep. 294) | LLMs generate text painfully slow, one low-info token at a time. Researchers just figured out how to compress 4 tokens into smart vectors & cut costs by 44%—with full code & proofs! Meanwhile OpenAI drops product ads, not papers. We explore CALM & why open science matters. 🔥📊 Sponsors This episode is brought to you by Statistical Horizons At Statistical Horizons, you can stay ahead with expert-led livestream seminars that make data analytics and AI methods practical and accessible.Join thousands of researchers and professionals who’ve advanced their careers with Statistical Horizons.Get $200 off any seminar with code DATA25 at https://statisticalhorizons.com | 46m 54s | ||||||
| 10/30/25 | ![]() Why AI Researchers Are Suddenly Obsessed With Whirlpools (Ep. 293) | VortexNet uses actual whirlpools to build neural networks. Seriously. By borrowing equations from fluid dynamics, this new architecture might solve deep learning's toughest problems—from vanishing gradients to long-range dependencies. Today we explain how vortex shedding, the Strouhal number, and turbulent flows might change everything in AI. Sponsors This episode is brought to you by Statistical Horizons At Statistical Horizons, you can stay ahead with expert-led livestream seminars that make data analytics and AI methods practical and accessible.Join thousands of researchers and professionals who’ve advanced their careers with Statistical Horizons.Get $200 off any seminar with code DATA25 at https://statisticalhorizons.com References https://samim.io/p/2025-01-18-vortextnet/ | 33m 15s | ||||||
| 10/16/25 | ![]() The Scientists Growing Living Computers in Swiss Labs (Ep. 292) | Fred Jordan, Co-CEO of FinalSpark, takes us inside the radical world of biological computing, where real neurons extracted from human tissue are being trained to solve problems that would require 10 megawatts in silicon. We explore the life support systems keeping these "wetware" processors alive, the ethical quandaries of computation performed by living cells, and why the messiness of biology might be exactly what AI needs next. From training cycles and reproducibility challenges to the surprising behaviors these neural networks display, Jordan paints a picture of 2030 where your devices might be powered by something closer to a brain than a chip. Sponsors This episode is proudly sponsored by Amethix Technologies. At the intersection of ethics and engineering, Amethix creates AI systems that don’t just function—they adapt, learn, and serve. With a focus on dual-use innovation, Amethix is shaping a future where intelligent machines extend human capability, not replace it. Discover more at https://amethix.com This episode is brought to you by Intrepid AI. From drones to satellites, Intrepid AI gives engineers and defense innovators the tools to prototype, simulate, and deploy autonomous systems with confidence. Whether it's in the sky, on the ground, or in orbit—if it's intelligent and mobile, Intrepid helps you build it. Learn more at intrepid.ai References Website: finalspark.com Discord account: / discord Newsletter: https://finalspark.com/#newsletter Topics: Biological computing • Neural engineering • Energy-efficient AI • Wetware vs hardware • The future of computation | 37m 45s | ||||||
| 10/8/25 | ![]() When AI Hears Thunder But Misses the Fear (Ep. 291) | Sanjoy Chowdhury reveals AI's hidden weakness: while systems can see objects and hear sounds perfectly, they can't reason across senses like humans do. His research at University of Maryland College Park, including the Meerkat model and AVTrustBench, exposes why AI recognizes worried faces and thunder separately but fails to connect them—and what this means for self-driving cars and medical AI. Sponsors This episode is proudly sponsored by Amethix Technologies. At the intersection of ethics and engineering, Amethix creates AI systems that don’t just function—they adapt, learn, and serve. With a focus on dual-use innovation, Amethix is shaping a future where intelligent machines extend human capability, not replace it. Discover more at https://amethix.com This episode is brought to you by Intrepid AI. From drones to satellites, Intrepid AI gives engineers and defense innovators the tools to prototype, simulate, and deploy autonomous systems with confidence. Whether it's in the sky, on the ground, or in orbit—if it's intelligent and mobile, Intrepid helps you build it. Learn more at intrepid.ai Resources: The first audio-visual LLM with fine-grained understanding: Meerkat: Audio-Visual Large Language Model for Grounding in Space and Time (Accepted at ECCV 2024) Benchmark for evaluating the robustness to adversarial attacks, compositional reasoning: AVTrustBench: Assessing and Enhancing Reliability and Robustness in Audio-Visual LLMs (Accepted at ICCV 2025) First audio-visual reasoning evaluation benchmark and test time reasoning distillation pipeline AURELIA: Test-time Reasoning Distillation in Audio-Visual LLMs Accepted at ICCV 2025 For a detailed list of Sanjoy's work, please visit his webpage: https://schowdhury671.github.io/ | 46m 37s | ||||||
| 9/16/25 | ![]() Why VCs Are Funding $100M Remote Control Toys (Ep. 290) | This episode exposes the uncomfortable truth: most defense tech startups are just software engineers cosplaying as military innovators, creating fragmented solutions that Pentagon doesn't need. Not now, at least. References War On The Rocks: https://warontherocks.com/2025/08/ukraine-isnt-the-model-for-winning-the-innovation-war/ LinkedIn: https://www.linkedin.com/in/jonasrsinger/ Spotify: https://tr.ee/Omy_1X8k1U Apple Podcast: https://podcasts.apple.com/us/podcast/defence-innovation-podcast/id1797131332 YouTube: https://youtube.com/@DefenceInnovationpodcast?si=cu2WlnVgL5XKnM0p Sponsors This episode is proudly sponsored by Amethix Technologies. At the intersection of ethics and engineering, Amethix creates AI systems that don’t just function—they adapt, learn, and serve. With a focus on dual-use innovation, Amethix is shaping a future where intelligent machines extend human capability, not replace it. Discover more at https://amethix.com This episode is brought to you by Intrepid AI. From drones to satellites, Intrepid AI gives engineers and defense innovators the tools to prototype, simulate, and deploy autonomous systems with confidence. Whether it's in the sky, on the ground, or in orbit—if it's intelligent and mobile, Intrepid helps you build it. Learn more at intrepid.ai ✨ Connect with us! 📩 Newsletter: https://datascienceathome.substack.com 🎙 Podcast: Available on Spotify, Apple Podcasts, and more. 🐦 Twitter: @DataScienceAtHome 📘 LinkedIn: https://www.linkedin.com/in/fragadaleta/ Instagram: https://www.instagram.com/datascienceathome/ | 39m 56s | ||||||
| 8/29/25 | ![]() How Hacker Culture Died (Ep. 289) | A nostalgic dive into the rise and fall of true hacker culture - from MIT's curious tinkerers to today's hustle-obsessed "founders." Plus, why IRC was peak internet and what we lost when convenience killed community. For anyone who misses when coding was about elegance, not exits.RetryClaude can make mistakes. Please double-check responses. Interesting link https://www.twitch.tv/tsoding/about Sponsors DSH is proudly sponsored by Amethix Technologies. At the intersection of ethics and engineering, Amethix creates AI systems that don’t just function—they adapt, learn, and serve. With a focus on dual-use innovation, Amethix is shaping a future where intelligent machines extend human capability, not replace it. Discover more at amethix.com DSH is brought to you by Intrepid AI. From drones to satellites, Intrepid AI gives engineers and defense innovators the tools to prototype, simulate, and deploy autonomous systems with confidence. Whether it's in the sky, on the ground, or in orbit—if it's intelligent and mobile, Intrepid helps you build it. Learn more at intrepid.ai ✨ Connect with us! 📩 Newsletter: https://datascienceathome.substack.com 🎙 Podcast: Available on Spotify, Apple Podcasts, and more. 🐦 Twitter: @DataScienceAtHome 📘 LinkedIn: https://www.linkedin.com/in/fragadaleta/ Instagram: https://www.instagram.com/datascienceathome/ Facebook: https://www.facebook.com/datascienceAH LinkedIn: https://www.linkedin.com/company/data-science-at-home-podcast Discord Channel: https://discord.gg/4UNKGf3 NEW TO DATA SCIENCE AT HOME? Welcome! Data Science at Home explores the latest in AI, data science, and machine learning. Whether you’re a data professional, tech enthusiast, or just curious about the field, our podcast delivers insights, interviews, and discussions. Learn more at https://datascienceathome.com SEND US MAIL! We love hearing from you! Send us mail at: hello@datascienceathome.com Don’t forget to like, subscribe, and hit the 🔔 for updates on the latest in AI and data science! | 44m 57s | ||||||
| 8/5/25 | ![]() Robots Suck (But It’s Not Their Fault) (Ep. 288) | We were promised robot butlers and got Roombas that cry under the couch. In this brutally honest (and slightly hilarious) episode, Francesco dives into why the robot revolution fizzled, why your dishwasher still needs you, and how robotics became more YouTube circus than household helper. Spoiler: It's not the tech – it's us. Sponsors DSH is proudly sponsored by Amethix Technologies. At the intersection of ethics and engineering, Amethix creates AI systems that don’t just function—they adapt, learn, and serve. With a focus on dual-use innovation, Amethix is shaping a future where intelligent machines extend human capability, not replace it. Discover more at amethix.com DSH is brought to you by Intrepid AI. From drones to satellites, Intrepid AI gives engineers and defense innovators the tools to prototype, simulate, and deploy autonomous systems with confidence. Whether it's in the sky, on the ground, or in orbit—if it's intelligent and mobile, Intrepid helps you build it. Learn more at intrepid.ai ✨ Connect with us! 📩 Newsletter: https://datascienceathome.substack.com 🎙 Podcast: Available on Spotify, Apple Podcasts, and more. 🐦 Twitter: @DataScienceAtHome 📘 LinkedIn: https://www.linkedin.com/in/fragadaleta/ Instagram: https://www.instagram.com/datascienceathome/ Facebook: https://www.facebook.com/datascienceAH LinkedIn: https://www.linkedin.com/company/data-science-at-home-podcast Discord Channel: https://discord.gg/4UNKGf3 NEW TO DATA SCIENCE AT HOME? Welcome! Data Science at Home explores the latest in AI, data science, and machine learning. Whether you’re a data professional, tech enthusiast, or just curious about the field, our podcast delivers insights, interviews, and discussions. Learn more at https://datascienceathome.com SEND US MAIL! We love hearing from you! Send us mail at: hello@datascienceathome.com Don’t forget to like, subscribe, and hit the 🔔 for updates on the latest in AI and data science! | 16m 16s | ||||||
| 7/26/25 | ![]() Your Favorite AI Startup is Probably Bullshit (Ep. 287) | The brutal truth about why Silicon Valley is blowing billions on glorified autocomplete while pretending it's the next iPhone. We're diving deep into the AI investment circus where VCs who can't code are funding companies that barely understand their own technology. From blockchain déjà vu to the "ChatGPT wrapper" economy—this episode will make you question every AI valuation you've ever seen. Fair warning: We're naming names and calling out the hype. Don't listen if you work at a "revolutionary AI startup" that's just OpenAI's API with a pretty interface. #AIBubble #VentureCapital #TechReality #StartupBullshit | 12m 20s | ||||||
| 7/7/25 | ![]() Tech's Dumbest Mistake: Why Firing Programmers for AI Will Destroy Everything (Ep. 286) [RB] | From the viral article "Tech's Dumbest Mistake: Why Firing Programmers for AI Will Destroy Everything" on my newsletter at https://defragzone.substack.com/p/techs-dumbest-mistake-why-firing here are my thoughts about AI replacing programmers... 🎙️ Sponsors AGNTCY — The open source collective building the Internet of Agents🌐 https://www.agntcy.org ✨ Connect with us! 📩 Newsletter: https://datascienceathome.substack.com 🎙 Podcast: Available on Spotify, Apple Podcasts, and more. 🐦 Twitter: @DataScienceAtHome 📘 LinkedIn: https://www.linkedin.com/in/fragadaleta/ Instagram: https://www.instagram.com/datascienceathome/ Facebook: https://www.facebook.com/datascienceAH LinkedIn: https://www.linkedin.com/company/data-science-at-home-podcast Discord Channel: https://discord.gg/4UNKGf3 NEW TO DATA SCIENCE AT HOME? Welcome! Data Science at Home explores the latest in AI, data science, and machine learning. Whether you’re a data professional, tech enthusiast, or just curious about the field, our podcast delivers insights, interviews, and discussions. Learn more at https://datascienceathome.com SEND US MAIL! We love hearing from you! Send us mail at: hello@datascienceathome.com Don’t forget to like, subscribe, and hit the 🔔 for updates on the latest in AI and data science! | 18m 44s | ||||||
| 6/18/25 | ![]() Brains in the Machine: The Rise of Neuromorphic Computing (Ep. 285) | In this episode of Data Science at Home, we explore the fascinating world of neuromorphic computing — a brain-inspired approach to computation that could reshape the future of AI and robotics. The episode breaks down how neuromorphic systems differ from conventional AI architectures like transformers and LLMs, diving into spiking neural networks (SNNs), their benefits in energy efficiency and real-time processing, and their limitations in training and scalability. Real-world applications are highlighted, including low-power drones, hearing aids, and event-based cameras. Francesco closes with a vision of hybrid systems where neuromorphic chips and LLMs coexist, blending biological inspiration with modern AI. 📚 References SpikingJelly: https://github.com/fangwei123456/spikingjelly Norse: https://github.com/norse/norse IBM TrueNorth: https://research.ibm.com/blog/brain-inspired-chip Intel Loihi 2: https://www.intel.com/content/www/us/en/research/neuromorphic-computing.html SpiNNaker: https://apt.cs.manchester.ac.uk/projects/SpiNNaker/ BioRobotics Institute: https://www.santannapisa.it/en/institute/biorobotics 🎙️ Sponsors MillionaireMatch — The elite platform for high-achieving singles🌐 https://www.millionairematch.com AGNTCY — The open source collective building the Internet of Agents🌐 https://www.agntcy.org | 24m 18s | ||||||
| 6/3/25 | ![]() DSH/Warcoded - AI in the Invisible Battlespace (Ep. 284) | This episode explores the invisible battlespace of cyber and electronic warfare, where AI takes center stage. From autonomous hacking bots to smart jamming and adversarial attacks on machine learning models, we uncover how modern conflicts are increasingly fought with code, not bullets — and why the future of warfare may be decided by algorithms. Sponsors Building multi-agent software is hard — agent-to-agent and agent-to-tool communication is still the wild west. That’s where the AGNTCY, comes in. It’s an open source collective building the Internet of Agents — a global collaboration layer where AI agents can discover each other, communicate, and work across frameworks. For developers, this means cleaner protocols, standard discovery tools, and modular components to scale multi-agent workflows. Build with others who care about robust multi-agent software. Visit AGNTCY.org Warcoded is proudly sponsored by Amethix Technologies. At the intersection of ethics and engineering, Amethix creates AI systems that don’t just function—they adapt, learn, and serve. With a focus on dual-use innovation, Amethix is shaping a future where intelligent machines extend human capability, not replace it. Discover more at amethix.com Warcoded is brought to you by Intrepid AI. From drones to satellites, Intrepid AI gives engineers and defense innovators the tools to prototype, simulate, and deploy autonomous systems with confidence. Whether it's in the sky, on the ground, or in orbit—if it's intelligent and mobile, Intrepid helps you build it. Learn more at intrepid.ai #Warcoded #DataScienceAtHome #AI #AutonomousWeapons #MilTech #DefenseTech #KillChain #OODAloop #LAWs #EdgeAI #Podcast | 21m 22s | ||||||
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Chart Positions
4 placements across 4 markets.
Chart Positions
4 placements across 4 markets.
