Category Report

Top 10 Books from Entrepreneurship Podcasts - Jan 2026

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

Category: Entrepreneurship
Updated: 2026-02-02
Period: Monthly
Featured Insights

Biggest mover: WTF?! (Willing to Fail) by Brian Scudamore #7, rising 197 places.

The Life-Changing Magic of Tidying Up: The Japanese Art of Decluttering and Organizing by Marie Kondo was the top newcomer at #8. In total 78 books had their debut mentions.

My First Million drove the most book chatter, with 15% of this months book mentions.

Impacts and Insights for Entrepreneurs

Across January’s cross-category conversations, listeners gravitated toward enduring questions of how individuals change their lives and navigate modern power structures. Atomic Habits sits at the center, frequently cited as a practical operating system for turning intentions into behavior, underscoring a preference for small, repeatable processes over abstract goal-setting. Alongside it, The Psychology of Money and Sam Walton: Made in America highlight a focus on financial judgment, frugality, and operational discipline in volatile conditions. Classic titles like The 48 Laws of Power, How to Win Friends and Influence People, Man’s Search for Meaning, and Influence point to ongoing concern with persuasion, status, and meaning in work and life. Meanwhile, Superagency signals a growing effort to translate these long-standing themes—habits, leverage, and decision-making—into an AI-enabled future, where iterative experimentation and “willingness to fail” become strategic necessities.

Top 10 Books

Top Podcasts Driving Mentions

The shows that surfaced the most book mentions this month.

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
136
Unique Books
173
Total Mentions
206

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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