About Readalike Finder
We're passionate readers on a mission to help you discover your next favorite book through intelligent recommendations and carefully curated book lists.
Our Mission
We believe that every reader deserves to find books they'll love. Our mission is to make book discovery easier and more personalized by connecting readers with carefully curated recommendations based on books they already enjoy.
How We Work
Our recommendations combine editorial expertise with reader feedback. We analyze themes, writing styles, character development, and emotional impact to find books that truly match what you're looking for.
Our Story
Readalike Finder was born from a simple frustration: finding your next great read shouldn't be so hard.
As avid readers ourselves, we know the disappointment of picking up a book that doesn't live up to expectations, and the pure joy of discovering a new favorite that keeps you reading until 3 AM.
We started Readalike Finder to solve the "what should I read next?" problem that every book lover faces. By focusing on books that are truly similar to ones you've already loved, we help you discover new authors and stories that match your personal taste.
Our team of book enthusiasts carefully curates every recommendation, ensuring that when we say"if you liked X, you'll love Y," we really mean it.
Our Values
The principles that guide everything we do
Reader-First
Every decision we make is guided by what's best for readers and their book discovery journey.
Quality Curation
We carefully vet every recommendation to ensure it truly matches the books you love.
Community Driven
We listen to our readers and continuously improve based on your feedback and suggestions.
Our Team
Meet the passionate readers and experts behind Readalike Finder
John Hugo
Founder & CRO
A lifelong book lover, John built Readalike Finder to help others discover great reads. He studied data analysis and has years of experience in software development. John combines his love of literature with a technical background to design and oversee the recommendation algorithm and ensure the quality and relevance of every book suggestion. He also writes editorial pieces and shares insights on emerging literary trends.
Sara Haider
Data Scientist & AI Specialist
Sara holds a degree in Computer Science and specialises in machine learning and natural language processing. After working in data analytics for several years, she now leads the development of the platform's recommendation engine. Sara analyses reading patterns and continuously refines the algorithms to better understand readers' tastes. In her spare time she enjoys exploring new authors and genres.
Imran Qureshi
Librarian & Content Curator
With a Master's degree in Library Science and experience at a public library, Imran curates the site's genre lists and verifies book information. His keen eye for detail ensures that the book data, synopses and metadata are accurate and up to date. Imran values cross‑cultural literature and works to include diverse voices in the recommendations.
Sana Iqbal
Community Manager & Social Media
Sana studied communications and has a passion for connecting readers. She engages with the user community through newsletters, social media and blog posts, collects feedback and shares updates on new features. Sana ensures that the platform remains user‑friendly and welcoming, helping to foster a vibrant community of book enthusiasts.
By the Numbers
Our impact on the reading community
Get in Touch
Have a suggestion for a book that should be on one of our lists? Found an error? Just want to chat about books? We'd love to hear from you.