Bookscape Report

Top 10 Books Across All Podcasts - Feb 2026

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

Category: All
Updated: 2026-02-07
Period: Monthly
Featured Insights

Biggest mover: Stranger in a Strange Land by Robert A. Heinlein, Neil Gaiman #5, rising 626 places.

Flowers for Algernon by Daniel Keyes was the top newcomer at #8. In total 66 books had their debut mentions.

The Next Big Idea Daily drove the most book chatter, with 13% of this months book mentions.

Themes Influencing Thought Leaders Across Podcasts

Across February 2026, conversation clusters around how individuals and systems change—psychologically, technologically, and economically. Michael Pollan’s A World Appears stands out at the top, suggesting strong interest in consciousness, perception, and inner transformation alongside enduring attention to practical self-improvement via Atomic Habits. Classic speculative fiction and stories by Arthur C. Clarke, Robert Heinlein, Ted Chiang, and Daniel Keyes signal that hosts are using science fiction as a lens on AI, ethics, and the long-term trajectory of technology and human capability. At the same time, Enshittification and Getting Real point to concern with platform decay, product discipline, and building resilient digital businesses. The sharp rise of Reminiscences of a Stock Operator indicates renewed focus on market psychology and cyclical behavior, tying financial risk-taking to broader questions about how people navigate increasingly complex systems.

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
96
Episodes Searched
178
Unique Books
143
Total Mentions
151

Methodology

The podcasts included in this report are all podcasts being monitored on the MavenSignal platform at the time of report creation.

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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