Reading books is a common habit among successful makers and many attribute at least part of their success to certain books.
But how do you find the books that truly make a difference? There are millions of books to choose from and most of them are not worth your time.
MakerReads is a humble attempt to solve this problem by providing the data you need to pick the best book for your current circumstances. Data is aggregated from platforms like Amazon, Twitter and GoodReads, but also from niche communities like Indie Hackers and Hacker News. Using this data, parameters like a book’s “mainstream popularity” or “maker awareness” are calculated. Moreover, you can filter books by price, age, and check if an audiobook version exists.
Now, since you made it this far, I want to tell you a bit more about my long-term vision for Maker Reads.
But first, let’s talk quickly about GoodReads. It’s well known that “almost everything about GoodReads is broken”. GoodReads tries to do many things at once but doesn’t do anything particularly well.
Of course, it would be ideal if someone would build a new platform that solves all of these “jobs-to-be-done” in a better way. But since attempting to do many things at once is a sure way to failure, I’ve decided to start with just one puzzle piece.
What you’re currently looking at is Version 0.1 of MakerReads. There is just one feature: data-driven book recommendations. However, in the coming months, I’ll test several additional features that target the remaining “jobs-to-be-done” in the list above.
If you want to get notified when one of these additional features gets added, follow me on Twitter.
Moreover, if you have any type of comment or feedback, feel free to email me at JakobGreenfeld [at] gmail.com