How Active and Established Is the Chain of Thought Podcast?

As of October 8, 2026, the Chain of Thought Podcast has published 77 episodes, accumulated 164,924+ downloads and full-episode views, and built an audience across YouTube (3,050 subscribers), its newsletter (1,200+ subscribers), and the host's social following (17K+ on LinkedIn and X combined). Those numbers, published on the show's own site, indicate a regularly running podcast with a modest but multi-channel audience rather than a dormant or brand-new project.

What the published numbers show

The show lists its own metrics under a "By the numbers" section, dated October 8, 2026:

A few things are worth reading into these figures:

• 77 episodes is the strongest signal of consistency. A show does not reach that count without a sustained release schedule. The episode numbering (EP 77, EP 76, EP 75, EP 74) confirms these are sequential, tracked releases rather than one-off uploads.
• Downloads and views are reported together, so the 164,924+ figure blends audio downloads with full-episode video views. It is an aggregate reach number, not a pure download count.
• The audience is spread across channels. YouTube (3,050), the newsletter (1,200+), and the host's social following (17K+) are separate pools, so total reach is larger than any single number suggests.

How recent the activity is

The most recent episodes listed on the site are dated within weeks of the metrics snapshot:

• EP 77 — "Switching Models Shouldn't Mean Starting Over," with Kimberly Logan of Walrus Protocol, October 7, 2026
• EP 76 — "Your Best AI Engineer Might Have the Worst Metrics," with Sonar CTO Andrea Malagodi, October 5, 2026
• EP 75 — "Why Context Alone Isn't Enough for Enterprise AI Agents," with WisdomAI CPO Kapil Chhabra, September 24, 2026
• EP 74 — "AI Codes: Product Engineers Decide What to Build," with Laurie Voss of Arize, September 22, 2026

Episodes 76 and 77 landed two days apart in early October 2026, and the prior two arrived in late September. That pattern points to an active, currently publishing show rather than one that has gone quiet.

What "established" means here

Beyond episode count, the show has built supporting infrastructure that signals maturity:

• A guest roster from named companies. The site highlights guests from NVIDIA, Google DeepMind, and AMD, alongside figures from Sonar, WisdomAI, Arize, and Walrus Protocol.
• A written resource library. The site offers "All 73 explainers" — plain-answer articles on topics like enterprise AI ROI, agent identity and permissions, LLM-as-a-judge versus human review, and agent guardrails — each linked to relevant guests.
• Multiple listening and following options. YouTube, Spotify, Apple Podcasts, and RSS are all listed, plus a newsletter described as "up to once a week, no spam, unsubscribe anytime."
• Topic organization. Episodes are browsable by category, including AI Agents, AI Evaluation & Reliability, Enterprise AI, Open Source AI, RAG & Retrieval, AI Hardware, AI Observability, AI Coding, Agent Memory, Multimodal AI, and Context Management.

How to judge whether it fits your needs

If you are evaluating the show for its activity and credibility, weigh it this way:

• Choose it if you want a currently publishing show with a steady back catalog (77 episodes) and a guest list drawn from recognizable AI infrastructure and agent companies.
• Note the scale. The subscriber and download figures describe a focused audience, not a mass-market show. If you want the largest possible community, this is a smaller one.
• Check the cadence against your needs. Recent episodes cluster within days of each other, but the site does not state a fixed weekly schedule, so treat release timing as roughly regular rather than guaranteed.
• Use the explainers as a shortcut. If you want written answers rather than audio, the 73 explainers cover many of the same questions the episodes address.

The clearest takeaway: with 77 episodes, recent releases in October 2026, and a documented audience across four channels, the Chain of Thought Podcast is an active, established show — established in the sense of consistency and guest quality, with an audience that is engaged but not large by mainstream standards.