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 25 chart positions in 25 markets.
By chart position
- 🇺🇸US · Technology#1355K to 30K
- 🇮🇳IN · Technology#4230K to 100K
- 🇫🇷FR · Technology#7910K to 30K
- 🇧🇷BR · Technology#9110K to 30K
- 🇰🇷KR · Technology#1071K to 10K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
35K to 123K🎙 Daily cadence·984 episodes·Last published yesterday - Monthly Reach
Unique listeners across all episodes (30 days)
117K to 410K🇮🇳24%🇺🇸7%🇫🇷7%+22 more - Active Followers
Loyal subscribers who consistently listen
47K to 164K
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Reach across major podcast platforms, updated hourly
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
From 24 epsHost
Recent guests
Recent episodes
1002: Fable 5: The Full Story from Capabilities to Drama
Jun 19, 2026
16m 24s
1001: How AI Erased My Career Moat, an Episode #1001 Special: Jon Krohn interviewed by Kirill Eremenko
Jun 16, 2026
1h 55m 50s
1000: Ten Years of the Super Data Science Podcast, with Jon, Kirill and Special Guests
Jun 12, 2026
1h 00m 06s
999: What's Left to Build When Software Is Free, with Chip Huyen
Jun 9, 2026
1h 15m 44s
998: In Case You Missed It in May 2026
Jun 5, 2026
27m 41s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 6/19/26 |  1002: Fable 5: The Full Story from Capabilities to Drama | Anthropic’s Claude Fable 5 was the most capable AI model ever released to the public and it lasted just three days before the US government forced it offline. Jon Krohn unpacks both halves of the story: what makes Fable 5 special, and why it was pulled. Fable 5 and its locked-down sibling Mythos 5 are the same model separated only by safeguards, in a new “Mythos-class” tier above Opus. Jon covers its state-of-the-art benchmarks, premium $10/$50-per-million-token pricing, conservative safety classifiers, and the federal export-control directive, reportedly sparked by an Amazon-flagged “jailbreak” that took it down. Additional materials: www.superdatascience.com/1002 Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. | 16m 24s | ||||||
| 6/16/26 |  1001: How AI Erased My Career Moat, an Episode #1001 Special: Jon Krohn interviewed by Kirill Eremenko | For this episode #1001 special, the tables are turned: SuperDataScience founder Kirill Eremenko takes the host’s chair and Jon Krohn is the guest. They trace Jon Krohn’s path from an Oxford neuroscience PhD to a New York hedge fund to founding the AI consulting firm Y Carrot, why he regrets leaving academia and how tools like Claude Code erased his hard-won technical moat and why that makes skilled engineers more valuable than ever. Along the way: whether AI is a bubble, Jevons paradox and the data-center boom, the RICE framework for choosing AI projects, the single biggest reason AI projects fail and how a well-built AI agent could give anyone “Christopher Nolan–like” focus. Additional materials: https://www.superdatascience.com/1001 Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (03:42) From an Oxford neuroscience PhD to AI consulting (17:25) Defining AGI and why consciousness isn’t required (30:39) Are we in an AI bubble? Why we benefit either way (46:32) Jevons paradox: why cheaper AI means more data centers (01:08:31) The RICE framework for prioritizing AI projects (01:15:08) The number-one reason AI projects fail in production (01:31:50) AI, attention, and protecting your wellbeing | 1h 55m 50s | ||||||
| 6/12/26 |  1000: Ten Years of the Super Data Science Podcast, with Jon, Kirill and Special Guests✨ | podcast anniversaryAI opportunities+3 | Kirill Eremenko | Super Data ScienceSuperDataScience | — | Super Data ScienceAI+7 | — | 1h 00m 06s | |
| 6/9/26 |  999: What's Left to Build When Software Is Free, with Chip Huyen✨ | AI engineeringmachine learning engineering+5 | Chip Huyen | O'ReillyAI Engineering | — | AI engineeringmachine learning+6 | — | 1h 15m 44s | |
| 6/5/26 |  998: In Case You Missed It in May 2026✨ | AI agentscybersecurity+3 | Anneka GuptaCal Al-Dhubaib+4 | Claude Mythos | — | AI agentscybersecurity+3 | — | 27m 41s | |
| 6/2/26 |  997: How This Text-to-Video-Game AI Startup Hit 20M Users✨ | text-to-video game AIuser engagement+4 | Dr. Andrey Kurenkov | Astrocade | — | Astrocadetext-to-video game+5 | — | 1h 09m 33s | |
| 5/29/26 |  996: TrueFoundry’s Nikunj Bajaj on How to Get $100M Returns on AI Agent Deployments✨ | AI agentsenterprise deployment+3 | Nikunj Bajaj | NvidiaSiemens+1 | — | AI agentsTrueFoundry+5 | — | 29m 43s | |
| 5/26/26 |  995: End-to-End Foundation Models for the Energy Industry, with Jazmia Henry✨ | foundation modelsenergy industry+3 | Jazmia Henry | NeurIPSZillow | — | foundation modelsenergy+5 | — | 1h 09m 15s | |
| 5/22/26 |  994: AI’s Putting Recent Grads Out of Work; Here’s How to Get Hired Anyway!✨ | unemploymentcomputer science+3 | — | StanfordFederal Reserve | — | AIemployment+5 | — | 11m 04s | |
| 5/19/26 |  993: How to Build AI-First Organizations, with Jacob Miller and Jeremy Mumford✨ | AI-first organizationsbuilding AI products+3 | Jacob MillerJeremy Mumford | WileyPattern+1 | — | AIdata engineering+3 | — | 1h 10m 07s | |
| 5/15/26 |  992: Tokenmaxxing vs AI Hardware Bottlenecks✨ | AI infrastructuretokenmaxxing+5 | — | NVIDIAGartner | — | AItokenmaxxing+6 | — | 14m 32s | |
| 5/12/26 |  991: Pair Programming with AI in Your Python Notebook, with Dr. Trevor Manz✨ | pair programmingAI in Python+4 | Dr. Trevor Manz | MarimoClaude Code+2 | Wisconsin | pair programmingAI+7 | — | 1h 08m 51s | |
| 5/8/26 |  990: Inside Mythos: Anthropic's Locked-Down Frontier Model✨ | AI modelscybersecurity+4 | — | Claude Mythos PreviewOpus 4.6+3 | Firefox | AIcybersecurity+6 | — | 10m 37s | |
| 5/5/26 |  989: Security for Mythos-Era Agentic Risks, with Rubrik’s Anneka Gupta and Cal Al-Dhubaib✨ | cybersecurityAI risks+3 | Anneka GuptaCal Al-Dhubaib | RubrikClaude Mythos | — | cybersecurityAI+5 | — | 1h 04m 00s | |
| 5/1/26 |  988: In Case You Missed It in April 2026✨ | memoryeducation+3 | Matt GlickmanTraci Walker-Griffith+2 | Super Data Science | — | artificial intelligenceeducation+3 | — | 35m 40s | |
| 4/28/26 |  987: AI Infrastructure, Ray, and Why Nonlinear Careers Win, with Linda Haviv✨ | AI educationopen-source technology+5 | Linda Haviv | SuperDataScienceAI+2 | — | AIopen-source+5 | — | 1h 17m 31s | |
| 4/24/26 |  986: Building Hardware is Hard but AI Agents Help, with Kishore Subramanian✨ | AIproduct lifecycle management+5 | Kishore Subramanian | Agentforce 360Propel One AI+2 | — | AI agentsPropel Software+6 | — | 29m 43s | |
| 4/21/26 |  985: The Four Types of Memory Every AI Agent Needs, with Richmond Alake✨ | agent memoryAI agents+3 | Richmond Alake | Oracle | — | agent memoryAI agents+3 | — | 1h 04m 29s | |
| 4/17/26 |  984: Building AI Agents Where 99.9% Accuracy Isn't Good Enough, with Raju Malhotra✨ | AI agentsSaaSpocalypse+3 | Raju Malhotra | Agentforce 360Certinia+1 | — | AI agentsSaaSpocalypse+5 | — | 29m 18s | |
| 4/14/26 |  983: AI in the Classroom: How a Top Elementary School Is Doing It Right, with Principal Traci Walker Griffith✨ | AI in educationelementary school transformation+4 | Traci Walker Griffith | ClaudeEliot School+1 | Boston | AIeducation+5 | — | 1h 12m 36s | |
| 4/10/26 |  982: In Case You Missed It in March 2026✨ | AIdata science+5 | Lin QuiaoChris Fregly+3 | — | — | AIdata science+6 | — | 44m 18s | |
| 4/7/26 |  981: How Data Engineers Are “10x’ing” Themselves With Agents, feat. Matt Glickman✨ | AI agentsdata engineering+4 | Matt Glickman | Genesis ComputingGoldman Sachs | — | AI agentsGenesis Computing+6 | — | 1h 14m 35s | |
| 4/3/26 |  980: AI Making Theoretical Physics Breakthroughs✨ | AItheoretical physics+3 | — | OpenAI’s modelsGPT-5.2 Pro+4 | — | AItheoretical physics+4 | — | 9m 49s | |
| 3/31/26 |  979: Agentic Data Management and the Future of Enterprise AI, with Rohit Choudhary✨ | data managemententerprise AI+3 | Rohit Choudhary | Acceldata | — | data managemententerprise AI+5 | — | 1h 05m 07s | |
| 3/27/26 |  978: A Post-Transformer Architecture Crushes Sudoku (Transformers Solve ~0%)✨ | AI modelsSudoku+4 | — | o3-miniDeepSeek-R1+3 | — | SudokuAI models+6 | — | 10m 39s | |
Showing 25 of 1003
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Chart Positions
25 placements across 25 markets.
Chart Positions
25 placements across 25 markets.