Category Report

Top 10 Books from Entrepreneurship Podcasts - 2026 Annual

Which books are shaping founder thinking this year, as mentioned across top entrepreneurship podcasts.

Category: Entrepreneurship
Updated: 2026-02-07
Period: Annual
Featured Insights

Biggest mover: The Psychology of Money: Timeless lessons on wealth, greed, and happiness by Morgan Housel #2, rising 1045 places.

Lean Learning: How to Achieve More by Learning Less by Pat Flynn was the top newcomer at #3. In total 92 books had their debut mentions.

My First Million drove the most book chatter, with 14% of this years book mentions.

Impacts and Insights for Entrepreneurs

Across categories in 2026, the most discussed books cluster around personal leverage: habit design, financial mindset, entrepreneurial resilience, and creative originality. Atomic Habits stands out as a clear outlier, invoked in contexts ranging from billionaire routines to gym-going and founder goal-setting, signaling a broad, cross-domain push toward systematizing behavior rather than relying on motivation. The Psychology of Money and Sam Walton: Made in America anchor conversations about money and business building in psychology, frugality, and efficiency rather than tactics alone. Classic titles like The 48 Laws of Power, How to Win Friends and Influence People, and Man’s Search for Meaning suggest ongoing concern with influence, interpersonal skill, and purpose beneath success. Meanwhile, Steal Like an Artist and repeated references to The Mythical Man-Month frame creativity and software development as remixing constraints in an AI-accelerated world, not starting from scratch.

Top 10 Books

Top Podcasts Driving Mentions

The shows that surfaced the most book mentions this year.

Signal Momentum

Mentions recorded per 30-day window (past 8 months)

Coverage Mix

How many of the mentions were for the top 10 books.

Signal Summary

Podcasts Monitored
23
Episodes Searched
166
Unique Books
198
Total Mentions
237

Methodology

The podcasts included in this report are curated by MavenSignal to represent the trusted voices in this category.

We ingest public RSS feeds, analyze each episode, extract book mentions with AI, and validate with humans. The resulting data is normalized and deduplicated, building the canonical signal for the MavenSignal platform. Every insight and ranking is drawn from that verified layer.

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