Frequently Asked Questions (FAQ)

Q: How many authors will you include in your discovery dataset?
A: Our goal is to keep 100,000 records searchable at all times. We will have more in the dataset.

Q: Why did you create yet another site for books?
A: Our cost-per-click (CPC) analysis informed us that for most fiction books, the conversion rate needed for ads to be profitable is simply not there. Authors are losing money. Why jostle to be seen, only momentarily? Most importantly, the site is focused on author discovery and not selling the latest book in the market.

Q: Is this data final?
A: No, this data feature is currently in beta testing.

Q: How accurate is the information?
A: Data was sourced from publicly available sources. While we strive for accuracy, data could be inaccurate and is subject to change without notice. Use Contact Us if you notice any inaccuracy.

Q: Which authors are included?
A: We focus on experienced authors who’ve mastered their craft and gained reader appreciation but haven’t achieved massive commercial success. We organize author data for discovery, but don’t have opinions on book purchases. New authors, AI-generated books, and highly successful authors are excluded.

Q: Can I download the entire dataset?
A: No. The dataset is currently not available for download from the website. Use Contact Us if you would like to discuss your specific need.

Q: Are marciebooks.co and marciebooks.com the same website?
A: Yes, both marciebooks.co and marciebooks.com are legitimate domain names pointing to the same capability.

Q: Do you recommend writers use an LLM to write their books?
A: We recommend that writers stick to writing manually.

Q: Will you list AI-generated books?
A: No.

Q: What should writers use an LLM for?
A: For simplifying their non-writing-related work. Look up the features at https://www.marcie.app that help writers write more!

Q: What is Data Product Company LLC's role in this?
A: DPC is the developer of the flagship MARCIE platform. All R&D, AI, and infrastructure-related work is done by DPC. You can learn more about it at https://www.dataproduct.company and https://nextcorps.org/data-product-company/.