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.
Total monthly reach
Estimated from 7 chart positions in 7 markets.
By chart position
- 🇦🇺AU · Tech News#1355K to 30K
- 🇨🇦CA · Tech News#1665K to 30K
- 🇭🇺HU · Tech News#623K to 10K
- 🇹🇭TH · Tech News#793K to 10K
- 🇮🇱IL · Tech News#843K to 10K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
6.8K to 31K🎙 Daily cadence·6 episodes·Last published today - Monthly Reach
Unique listeners across all episodes (30 days)
23K to 103K🇦🇺29%🇨🇦29%🇭🇺10%+4 more - Active Followers
Loyal subscribers who consistently listen
9K to 41K
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
—
Total Plays
—
Total Reviews
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
Recent episodes
DFlash Speculative Decoding Drafts Whole Token Blocks in Parallel for Up to 15x Higher Throughput on NVIDIA — 2026-06-24
Jun 24, 2026
3m 23s
Prime Intellect Releases prime-rl 0.6.0 to Train Trillion-Parameter MoE Models on Agentic RL Workloads — 2026-06-23
Jun 23, 2026
4m 41s
MoonMath AI Open-Sources a HIP Attention Kernel for AMD MI300X That Beats AITER v3 on Every Shape and — 2026-06-22
Jun 22, 2026
4m 20s
Crawlee for Python: Build a Web Crawling Pipeline with Robots Handling, Link Graphs, and RAG Chunk Export — 2026-06-21
Jun 21, 2026
3m 55s
How to Build a Forecasting Pipeline with TimeCopilot Using Foundation Models and Automated Anomaly — 2026-06-20
Jun 20, 2026
3m 56s
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| Date | Episode | Description | Length | ||||||
|---|---|---|---|---|---|---|---|---|---|
| 6/24/26 |  DFlash Speculative Decoding Drafts Whole Token Blocks in Parallel for Up to 15x Higher Throughput on NVIDIA — 2026-06-24 | AI tools, distilled to impact. | 3m 23s | ||||||
| 6/23/26 | Prime Intellect Releases prime-rl 0.6.0 to Train Trillion-Parameter MoE Models on Agentic RL Workloads — 2026-06-23 | AI tools, distilled to impact. | 4m 41s | ||||||
| 6/22/26 | MoonMath AI Open-Sources a HIP Attention Kernel for AMD MI300X That Beats AITER v3 on Every Shape and — 2026-06-22 | AI tools, distilled to impact. | 4m 20s | ||||||
| 6/21/26 | Crawlee for Python: Build a Web Crawling Pipeline with Robots Handling, Link Graphs, and RAG Chunk Export — 2026-06-21 | AI tools, distilled to impact. | 3m 55s | ||||||
| 6/20/26 | How to Build a Forecasting Pipeline with TimeCopilot Using Foundation Models and Automated Anomaly — 2026-06-20 | AI tools, distilled to impact. | 3m 56s | ||||||
| 6/19/26 | Liquid AI Introduces LFM2.5-Embedding-350M and LFM2.5-ColBERT-350M: Dense Bi-Encoder and Late-Interaction — 2026-06-19 | AI tools, distilled to impact. | 3m 22s | ||||||
| 6/18/26 | OpenAI Releases LifeSciBench, a 750-Task Benchmark Grading AI Models on Real Life-Science Research With — 2026-06-18 | AI tools, distilled to impact. | 3m 55s | ||||||
| 6/17/26 | MiniMax Sparse Attention (MSA): a Two-Branch Block-Sparse Attention Trained on a 109B-Parameter MoE With — 2026-06-17 | AI tools, distilled to impact. | 3m 02s | ||||||
| 6/16/26 | Meet Atoms: A Vibe Coding Tool That Uses AI Agents to Build, Deploy, and Market Your App (No Code) — 2026-06-16 | AI tools, distilled to impact. | 3m 38s | ||||||
| 6/15/26 | Build context-rich research agents with Deep Agents and Bedrock AgentCore — 2026-06-15 | AI tools, distilled to impact. | 2m 53s | ||||||
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. | |||||||||
| 6/14/26 | Databricks Open-Sources Omnigent: A Meta-Harness That Composes, Governs, and Shares AI Agents Across Claude — 2026-06-14 | AI tools, distilled to impact. | 3m 55s | ||||||
| 6/13/26 | Moonshot AI Releases Kimi K2.7-Code: a Coding Model Reporting +21.8% on Kimi Code Bench v2 Over K2.6 — 2026-06-13 | AI tools, distilled to impact. | 3m 24s | ||||||
| 6/12/26 | From PDFs to insights: Architecting an intelligent document processing pipeline with AWS generative AI — 2026-06-12 | AI tools, distilled to impact. | 4m 19s | ||||||
| 6/10/26 | Anthropic Releases Claude Fable 5 and Claude Mythos 5: Same Underlying Model, Different Safeguards, New — 2026-06-10 | AI tools, distilled to impact. | 3m 54s | ||||||
| 6/9/26 | NVIDIA cuTile Python Tutorial: Building Tiled GPU Kernels for Vector Addition, Matrix Addition, and — 2026-06-09 | AI tools, distilled to impact. | 3m 45s | ||||||
| 6/8/26 | Microsoft AI Introduces MAI-Transcribe-1.5: 2.4% WER on Artificial Analysis, Best-in-Class FLEURS Accuracy — 2026-06-08 | AI tools, distilled to impact. | 4m 48s | ||||||
| 6/7/26 | NVIDIA garak Tutorial: Build a Complete Defensive LLM Red-Teaming Workflow with Custom Probes and Detectors — 2026-06-07 | AI tools, distilled to impact. | 3m 26s | ||||||
| 6/6/26 | NVIDIA Releases Nemotron 3.5 ASR: A 600M-Parameter Cache-Aware Streaming Model Transcribing 40 — 2026-06-06 | AI tools, distilled to impact. | 3m 05s | ||||||
| 6/5/26 | NVIDIA AI Releases Dynamo Snapshot: A CRIU-Based Fast Startup System for AI Inference on Kubernetes — 2026-06-05 | AI tools, distilled to impact. | 4m 24s | ||||||
| 6/4/26 | Meet OpenJarvis: A Local-First Framework for On-Device Personal AI Agents with Tools, Memory, and Learning — 2026-06-04 | AI tools, distilled to impact. | 3m 59s | ||||||
| 6/3/26 | NVIDIA Releases Cosmos 3: A Two-Tower Mixture-of-Transformers Foundation Model Unifying Physical Reasoning — 2026-06-03 | AI tools, distilled to impact. | 4m 39s | ||||||
| 6/2/26 | Alibaba’s Qwen Team Launches Qwen3.7-Plus, Adding Vision, Deep Reasoning, Tool Invocation, and Autonomous — 2026-06-02 | AI tools, distilled to impact. | 5m 22s | ||||||
| 6/1/26 | Parallax: A Parameterized Local Linear Attention That Keeps Softmax and Adds a Learned Covariance — 2026-06-01 | AI tools, distilled to impact. | 3m 44s | ||||||
| 5/31/26 | Trajectory Releases a Concurrent Multi-LoRA Training Stack for Continual Learning, Reporting a 2.81× — 2026-05-31 | AI tools, distilled to impact. | 3m 33s | ||||||
| 5/30/26 | Hermes Agent Ships Tool Search for MCP: Anthropic Evals Show 49% to 74% Accuracy Gain on Opus 4 — 2026-05-30 | AI tools, distilled to impact. | 3m 56s | ||||||
Showing 25 of 70
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Chart Positions
7 placements across 7 markets.
Chart Positions
7 placements across 7 markets.