Rising-star podcasts this week (2026-w37)

High signal you have not heard yet. Smaller audiences, top-tier substance.

Rising-star podcasts this week (2026-w37)
Key Takeaways
  • 1
    Gradient Dissent: density 61 at 163.1K views.

  • 2
    Last Week in AI: density 61 at 7.1K views.

  • 3
    Y Combinator: density 33 at 77.2K views.

  • 4
    The Gradient Podcast: density 16 at 7.6K views.

  • 5
    Machine Learning Street Talk: density 21 at 616.1K views.

Audience size is not the same as quality. These newer or smaller shows score at the top on measured substance, so they earn a spotlight regardless of view count.

StartupHub data

Companies working on this

Profiles of the companies named in this story, with funding and a one-liner from our database.

Y Combinator
A startup accelerator that provides seed funding, mentorship, and resources to early-stage companies.

Worth your ears

  1. Gradient Dissent: 163.1K views. density 61, specificity 65, attribution 42%. Listen
  2. Last Week in AI: 7.1K views. density 61, specificity 63, attribution 43%. Listen
  3. Y Combinator: 77.2K views. density 33, specificity 75, attribution 69%, track record 70% (4/5 calls). Listen
  4. The Gradient Podcast: 7.6K views. density 16, specificity 68, attribution 71%, track record 100% (3/3 calls). Listen
  5. Machine Learning Street Talk: 616.1K views. density 21, specificity 65, attribution 68%. Listen
  6. The TWIML AI Podcast: 811 views. density 21, specificity 65, attribution 67%. Listen
  7. The Cognitive Revolution: 28.8K views. density 34, specificity 60, attribution 43%. Listen
  8. Doom Debates: 399.4K views. density 34, specificity 57, attribution 47%, track record 33% (1/3 calls). Listen

How we score: every show is graded from its episode transcripts on information density (named companies, people, figures, and mechanisms per minute), specificity (concrete, checkable claims versus vague punditry), source attribution (how often a claim credits where it came from), and a prediction track record we resolve against what actually happened. The full, continuously updated board lives at the podcast rankings.

© 2026 StartupHub.ai. All rights reserved. You may not republish this article in full without a license. Search engines and AI research tools may crawl and summarize for reference. Bulk reproduction or model training requires a license. See our terms.
Daniel Singer

Written by

Daniel Singer

Editor, StartupHub.ai

Daniel Singer is the editor of StartupHub.ai, a technology expert and thought leader on AI and its applications across sectors, from fintech and healthcare to developer tooling and consumer software. He writes and tests the tools covered here thoroughly and regularly, and built StartupHub.ai to give founders, operators and buyers a clearer read on what they are actually being sold.

More from Daniel Singer