Bookscape Report

Top 10 Books Across All Podcasts - 2025 Annual

Which books are shaping the broader conversation this year, as mentioned across leading podcasts.

Category: All
Updated: 2025-12-11
Period: Annual
Featured Insights

Biggest mover: Man's Search for Meaning by Viktor E. Frankl, Harold S. Kushner #10, rising 340 places.

How to Be Awesome at Your Job drove the most book chatter, with 9% of this years book mentions.

Themes Influencing Thought Leaders Across Podcasts

Across 2025’s most-discussed books, founders and operators are clearly grappling with how to build durable companies while staying personally effective and grounded. Strategy and power dynamics are a core concern, with “7 Powers,” “Zero to One,” and “The Innovator’s Dilemma” repeatedly used as shorthand for defensibility, non-obvious bets, and disruption risk. At the same time, “Atomic Habits” and “The 4-Hour Workweek” show sustained interest in designing work and routines for leverage, not just effort. Biographies of Sam Walton and Elon Musk, alongside “The Hard Thing About Hard Things,” signal a pragmatic focus on execution under pressure and navigating messy, non-textbook realities. The sharp rise of “Man’s Search for Meaning” suggests growing attention to purpose and resilience, implying that many in this audience are reassessing what long-term success should feel like, not only what it should earn.

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
39
Episodes Searched
3,593
Unique Books
1,982
Total Mentions
3,118

Methodology

The entrepreneurship podcasts included in this report are curated by MavenSignal to represent the voices founders and operators trust most for playbooks, launches, and long-term strategy.

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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