The concept is great. Some constructive feedback on the execution:
I expected to be able to provide a lot more than just five books. The splash page says "Our AI analyzes your reading DNA to recommend books you'll absolutely love—guaranteed to match your unique taste." That makes it sound like it's going to dive deep into my reading history and really think about my taste. Five books is absolutely not "my reading DNA."
There are lots of ways to get a richer picture of the books a person loves. You could connect to Goodreads or Storygraph, or scrape their social media for books you've discussed, or let users upload a .csv exported from other sources like LibraryThing, their Amazon wishlist, or their own local lists they might keep on Obsidian, Notion, or wherever. My public library keeps my reading history automatically - that would be another good data source for my "reading DNA."
Right now, it's just an AI recommendation based on five books. I can do that with any LLM from ChatGPT to Copilot to Gemini. The recommendation I got was very basic, just obviously similar books from the same authors I entered or ones that are closely related.
People's tastes are complex. Even if you allow much larger data sets to create a person's reading DNA, that alone won't necessarily recommend books that are right for them. For example, I love PG Wodehouse, but I have no interest at all in Evelyn Waugh, James Thurber, or G. K. Chesterton. A great recommendation engine would ask me why I love a book, and try to tease out the reasons behind my reading list in order to recommend books that will be more accurate and unexpected than I could get from a simple ChatGPT query or my Goodreads profile.
A site like this needs to do a lot to stand out. It's an excellent concept, I hope you develop it into something special.