
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
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Total monthly reach
Estimated from 2 chart positions in 2 markets.
By chart position
- 🇰🇪KE · Technology#803K to 10K
- 🇿🇦ZA · Technology#187500 to 3K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
1.1K to 3.9K🎙 Daily cadence·342 episodes·Last published 2d ago - Monthly Reach
Unique listeners across all episodes (30 days)
3.5K to 13K🇰🇪77%🇿🇦23% - Active Followers
Loyal subscribers who consistently listen
1.4K to 5.2K
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 17 epsHost
Recent guests
Recent episodes
The Hidden Failure Modes of AI Agents
Jun 25, 2026
51m 47s
The Data Stack Wasn't Built for AI — Here's What Comes Next
Jun 18, 2026
40m 11s
The SaaSpocalypse Is Coming — But Don't Count Out the Incumbents
Jun 13, 2026
41m 21s
AI Agents Are Implemented, Not Adopted
Jun 11, 2026
45m 55s
Why Your AI Agent Isn't Ready to Ship (And How to Know When It Is)
Jun 4, 2026
43m 29s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 6/25/26 | ![]() The Hidden Failure Modes of AI Agents | Ben Lorica speaks with Helen Gu, CEO of InsightFinder AI and professor at North Carolina State University, about why reliability is becoming a central challenge for enterprise AI. They discuss AI incident response, monitoring agents in production, domain-specific small language models, causal inference for operational data, and why the “last 1%” of accuracy and reliability is often the hardest part of deploying AI systems. Subscribe to the Gradient Flow Newsletter 📩 https://gradie... | 51m 47s | ||||||
| 6/18/26 | ![]() The Data Stack Wasn't Built for AI — Here's What Comes Next | Ben Lorica talks with Chang She, co-founder and CEO of LanceDB, about the limitations of traditional analytical data tools like Pandas and Parquet when applied to AI workloads. They discuss the rise of the “multimodal lakehouse,” the unique data storage and retrieval challenges introduced by AI agents, and how LanceDB provides both lightweight embedded memory and massive-scale infrastructure. Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/ Subscribe:... | 40m 11s | ||||||
| 6/13/26 | ![]() The SaaSpocalypse Is Coming — But Don't Count Out the Incumbents | Ben Lorica is joined by Evangelos Simoudis for a wide-ranging check-in on how AI is reshaping mobility, enterprise software, and corporate strategy. Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon · RSS. Detailed show notes and transcript, can be found on The Data Exchange web site. | 41m 21s | ||||||
| 6/11/26 | ![]() AI Agents Are Implemented, Not Adopted✨ | AI agentsproduction+4 | Hamza Tahir | Kitaru | — | AI agentsproduction+5 | — | 45m 55s | |
| 6/4/26 | ![]() Why Your AI Agent Isn't Ready to Ship (And How to Know When It Is)✨ | AI agentstechnology readiness+3 | Zhou Yu | Columbia UniversityArklex AI | — | AIagents+5 | — | 43m 29s | |
| 5/28/26 | ![]() Why Foundation Models Haven’t Replaced Classical Machine Learning✨ | foundation modelsclassical machine learning+3 | Doris XinMoustafa Abdelbaky | Disarray | — | foundation modelsclassical machine learning+3 | — | 52m 15s | |
| 5/21/26 | ![]() When "Garbage In, Garbage Out" Gets It Wrong✨ | data architecturepredictive robustness+3 | Terrence Lee-St. John | EnliFrom Garbage to Gold: A Data Architectural Theory of Predictive Robustness | — | data architecturepredictive robustness+3 | — | 43m 28s | |
| 5/14/26 | ![]() As Code Generation Speeds Up, Who Tests the Output?✨ | code generationsoftware testing+3 | Evan Marshall | Ito AI | — | code generationsoftware testing+5 | — | 43m 56s | |
| 5/7/26 | ![]() The Gap Between AI Hype and Enterprise Reality✨ | AI deploymententerprise challenges+4 | Richard GarrisBarry Dauber | Databricks | — | AIenterprise+5 | — | 56m 22s | |
| 4/30/26 | ![]() Reading the Tea Leaves: What the World's Top AI Researchers Are Really Working On✨ | AI researchNeurIPS+3 | Nick Vasiloglou | Relational AI | — | AINeurIPS 2025+4 | — | 56m 32s | |
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| 4/23/26 | ![]() From Web Video to Real-World Robots✨ | foundation modelsrobots+3 | Changan Chen | Rhoda AI | — | foundation modelsrobots+5 | — | 31m 07s | |
| 4/18/26 | ![]() Why Your AI Committee Might Be Your Biggest AI Problem✨ | AI governanceenterprise AI+3 | Evangelos Simoudis | Gradient Flow | — | AI committeeenterprise AI+3 | — | 27m 55s | |
| 4/16/26 | ![]() Building Mathematical Superintelligence✨ | AImathematical reasoning+3 | Tudor Achim | Harmonic | — | AImathematical reasoning+3 | — | 32m 42s | |
| 4/9/26 | ![]() Your First AI Employee Is Already Clocking In✨ | AI agentsautonomous systems+3 | Kay Zhu | Genspark AI | — | AI employeeautonomous AI+3 | — | 46m 06s | |
| 4/2/26 | ![]() Are Multi-Agent Systems More Complex Than They Need to Be?✨ | multi-agent systemsagent engineering+3 | Arun Kumar | UC San DiegoRapidFire AI | — | multi-agent systemsagent engineering+3 | — | 52m 21s | |
| 3/26/26 | ![]() Coding Agents Meet Data Science✨ | AI-powered coding agentsdata science workflows+3 | Mikio Braun | Zalando | — | AIcoding agents+3 | — | 41m 39s | |
| 3/19/26 | ![]() World Models Are Here—But It’s Still the GPT-2 Phase✨ | world modelsAI+3 | Jeff Hawke | Odyssey | — | world modelsAI+3 | — | 44m 26s | |
| 3/12/26 | ![]() The Hidden Challenges of Running AI at Scale in Production✨ | AIproduction+3 | Chen Goldberg | CoreWeave | — | AI at scaleproduction challenges+3 | — | 32m 21s | |
| 3/7/26 | ![]() What No One Tells You About Staying Employable in the AI Era✨ | artificial intelligenceworkplace+3 | Evangelos Simoudis | Gradient Flow | — | AIemployment+3 | — | 42m 58s | |
| 3/5/26 | ![]() Adaptation: The Missing Layer Between Apps and Foundation Models✨ | enterprise AIreliability+3 | Sudip Roy | Adaption Labs | — | enterprise AIadaptation+3 | — | 33m 12s | |
| 2/26/26 | ![]() Securing the "YOLO" Era of AI Agents | Jason Martin, Director of Adversarial Research at HiddenLayer, returns to discuss the security implications of OpenClaw, a viral open-source AI personal assistant that was entirely vibe-coded and has exploded to 180,000 GitHub stars. Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon · RSS. Detailed show notes - with links to many references - can be found... | 52m 25s | ||||||
| 2/19/26 | ![]() Building the Open Source Alternative to AWS | In this episode, Umur Cubukcu, co-founder of Ubicloud, explains what an “open cloud” should mean in practice — starting with an open-source control plane and extending to transparency, portability, and freedom from data lock-in. Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon · RSS. Detailed show notes - with links to many references - can be found on T... | 49m 52s | ||||||
| 2/12/26 | ![]() Breaking the Memory Wall in the Age of Inference | In this episode, Sid Sheth, founder and CEO of d-matrix, discusses the company’s approach to AI inference hardware with a focus on solving the memory bottleneck problem. Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon · RSS. Detailed show notes - with links to many references - can be found on The Data Exchange web site. | 45m 43s | ||||||
| 2/7/26 | ![]() Is Waymo Actually Profitable? The Real Cost of the Robotaxi Revolution | Ben Lorica and Evangelos Simoudis discuss two critical technology infrastructure topics: the evolving economics of autonomous vehicles and growing local opposition to AI data centers. Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon · RSS. Detailed show notes - with links to many references - can be found on The Data Exchange web site. | 33m 47s | ||||||
| 2/5/26 | ![]() Beyond Vibe Coding: Building Your Entire Business with AI | Ethan Ouyang, Technical Lead at Atoms, joins the podcast to discuss the rise of “vibe business”: multi-agent AI systems that can research a market, design a product, build and launch it, and iterate toward revenue. Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon · RSS. Detailed show notes - with links to many references - can be found on The Data Exchan... | 33m 04s | ||||||
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Chart Positions
2 placements across 2 markets.
Chart Positions
2 placements across 2 markets.
