I got serious about reading about seven or eight years ago. Not a lifelong habit, just something that clicked later. And the more I read, the more I realized: finding the next book is harder than reading the book.

I had a Goodreads shelf with hundreds of titles. A Saved for Later in Audible. A Notes app list. Recommendations from friends saved in screenshots I’d never look at again. All of these systems and none of them actually worked, because none of them knew anything about me.

They knew what I’d clicked on. They didn’t know what I cared about.

Your TBR is not a recommendation engine

Here’s what most book platforms actually do when they “recommend” something: they look at what’s popular, check what people who bought X also bought, and hand you a list. It’s a popularity contest with a personalization label slapped on top.

That’s how you end up with every app on earth telling you to read Atomic Habits.

There’s nothing wrong with Atomic Habits. But if you just finished Piranesi and you’re looking for something with that same quiet strangeness, “people also bought” is not going to get you there. And neither is asking ChatGPT, which will confidently recommend a book that sounds perfect but doesn’t exist (ask anyone who’s tried).

The real gap isn’t about genre. It’s about taste. The difference between “I like literary fiction” and “I like literary fiction that’s under 300 pages, slightly weird, and doesn’t make me want to throw it across the room.”

That’s a real preference. And until now, no platform could do anything with it.

So we built one that could

Siftivo started with a simple question: why doesn’t this exist? A book platform that actually gets smarter the more you use it. Not in a creepy way. In a “you told us you loved this and passed on that, so we’re learning” way.

We call it Sift Intelligence (bear with me on the name, it grew on us). It builds a taste profile from your choices. What you save, what you skip, what you rate, what you search for. And it uses that profile to surface books you’ll actually want to read.

Not popular books. Not trending books. Your books.

The daily shortlist is the thing we’re most proud of

Every morning, Siftivo gives you a fresh shortlist. Three picks, tuned to your taste profile. They change every day. They get better over time.

Think about how most people discover books right now. Scroll Goodreads for 20 minutes. Ask a friend. Browse a bookstore and grab something with a nice cover. Open Reddit and read a thread where every answer is “have you tried Brandon Sanderson?”

(Nothing against Sanderson. But sometimes you want a 200-page novella about grief, not a 1,200-page fantasy epic.)

The shortlist replaces all of that noise with five considered picks. It’s the thing our early readers keep coming back for. 74,000 shortlists delivered so far.

One review per reader, and why that matters

On Siftivo, you get one review per book. One. You can edit it anytime, but you can’t pile on. No reply chains. No drama. Upvotes only.

Anyone who’s spent time on Goodreads knows what happens when reviews become performance. One-star takedowns written for laughs. Pile-ons where a book gets buried because dunking on it went viral. Rating manipulation from fan communities.

We didn’t want any of that. We wanted reviews that help you decide if a book is for you. Half-star ratings so you can actually say “this was a 3.5, not a 4.” One considered take per reader. That’s it.

It’s quieter. It’s calmer. Turns out, it’s a lot more useful.

30,000 books and growing (on purpose)

Goodreads has tens of millions of titles. We have 30,000 and growing every single day. That’s not a limitation, it’s a choice.

Every book in our catalog meets a quality bar before it shows up in your shortlist. We’re not trying to index everything ever published. We’re trying to make sure that when you open Siftivo, everything you see is worth your time.

If you’ve ever searched for a book on Goodreads and gotten dozens of editions of the same title, you know why curation matters. We treat books at the work level. One book, one set of reviews, one rating. No duplicates, no mess.

Search that understands what you mean

Type “something like Piranesi but warmer” into Siftivo. It works.

Type “a quiet book about grief, not too long.” It works.

Type “literary fiction that doesn’t feel like homework.” Yep.

Type “books I will like.” It just works.

(This is the part that took the longest to get right, and honestly it still surprises us sometimes.)

Most book search is keyword matching. You type an author name or a title and hope for the best. We built search that understands mood, theme, feeling, and specificity. Because readers think in vibes, not ISBNs.

What this is really about

Siftivo is the place you open when you finish a book. Not Google. Not Reddit. Not a group chat where three people say “oh you HAVE to read Project Hail Mary” regardless of what you asked.

A home for readers. Calm, smart, personal. Something that gets better the more you use it, because it’s actually paying attention.

If you want to see what that looks like, try it at siftivo.com. Set up a taste profile, run an explore session, see what your first shortlist looks like. It’s free.

Your next favorite book is already in there. You just haven’t found it yet.