Stacks of books arranged across long tables

About Book Suggestion

Behind the Books

Our story

We are passionate about helping readers find their next great book through curated recommendations, influential reading lists, personalized suggestions, and a growing community of people who love to share what they read.

Mission

Make discovery effortless.

We connect readers with books that inspire, educate, and entertain based on trusted recommendations and thoughtful editorial curation.

Values

Quality and community.

We focus on useful recommendations, real reader interest, and a welcoming discovery experience built around curiosity rather than noise.

Scale

Millions of options.

Our library spans categories, authors, series, blog posts, and curated lists so every reader can start somewhere meaningful.

Meet the owners

The people shaping the voice behind Book Suggestion.

Mackenzie E. smiling with the Las Vegas skyline behind her

Mackenzie E.

Growing up reading was an escape, diving into another world with the thrills and adventures of living vicariously through a character. So bringing to everyone the thrill of opening something that has no biases or preconceived notions is something that seemed like a dream! Mackenzie attended Wichita State University and studied criminal justice and communications.

Her favorite genre is historical fiction and a few of her favorite authors are John Steinbeck, Terri Blackstock and Madeline Miller.

In her free time she loves to snuggle with Espresso, her beautiful kitty and read the best of what the local library has to offer.

Owner two seated outdoors holding a glass at sunset

Lexi C.

Four ways we keep recommendations strong.

We combine expert sourcing, community input, data analysis, and editorial quality review to keep the platform useful, relevant, and trustworthy.

01

Expert sourcing

We track reading lists from leaders, entrepreneurs, scientists, and thoughtful voices across industries.

02

Community input

Reader reviews, ratings, and recommendations help us understand which titles resonate with different audiences.

03

Data analysis

We look at reading patterns and popularity signals to surface timely recommendations without losing the human touch.