Your bookshelf is your profile. Say how you see the books, get your reader identity — and find people who think on the same page as you. Some become a coffee friend, some the editor of your life. No swiping. Promise.
The same book isn’t enough. The same page is.
The shelf makes the first impression; a photo is fine, but it isn’t the lead. Curiosity starts in the mind.
You don’t have to love it, an opinion will do. What you think about a book says more about who you are than any selfie.
Your answers match as a percentage; the call is yours. Draw your Hard line line — say where you need to agree, no exceptions.
Tired of the endless scroll — this is the rest stop. Few, but real. High threshold, small pool, actual conversation.
The ones that made you. The ones you loved, argued over, that split your life in two. It’s a shelf, and a mirror.
Not clichés — what the book asks you. Your answers are yours; they’re only used for the match.
Share your card, send your match link. If you’re on the same page — it shows.
~ 4 minutes · you can also add books from a photo of your shelf.
Not for dating, for conversation: 3–5 friends, 6 questions, none of you seeing the others’ answers. Then the map of the table appears — Fault line, Chaos agent, Secret alliance.
An app for meeting people through books. The books on your shelf generate questions written for you; your answers become your reader card, and you see your match with whoever you send your invite link to. You match with readers on the same page and message them. Runs in the browser, nothing to install, free.
A game for a group of friends: 3–8 people answer the same questions without seeing each other’s answers, and at the end the map of the table appears — who sides with whom, and which question is the fault line. Not for dating, for conversation; here is where you set a table.
Yes — add one to your card if you like. But the shelf has the lead: the brain that decides in the first 2 seconds doesn’t decide in the first 2 books. Without a photo you miss nothing.
Having an opinion is enough. Every question brings its context with it; it asks for your take, not recall.
No. Answers only feed the match percentage — who said what stays private.
You set your threshold — the default is 60%. You can tap “Send a nod” on anyone above it; if both of you nod, the thread opens. A one-sided nod is never shown.
No — completely free for now. Making a card, sending invites, matching, messaging: all of it.
* One shelf, one sentence, one person. The rest is up to you.
Try a sample invite → · Privacy · Terms · Open Library
Reading is talking to someone, quietly. ✦
Build your library: 3–10 books. Having read them is enough — you don’t have to love them, an opinion will do.
Your name, your photo — and your scene.
Cropped square; shown on your card and in the pool. Skip it and your scene avatar speaks for you.
* The photo and the scene are both yours — no photo, and your scene speaks on your card.
If you pick one: this question counts double in the match, and an invitee who splits from you sees it honestly as “🚧 Hard line” in the result.
Shown in italics on your card. Show a line you love, not yourself 🖋
To see your card you sign up for free (Google · Apple · Facebook) — a copy lands in your inbox.
What % of shared outlook counts as a “match”? You decide. High threshold = few, but real.
🔮 Coming soon: star signs, music and film signals can join the match too.
How does your invite look on their side? See →
Cover images: Open Library
Reset and delete each ask for two taps to be sure; delete removes everything on the server.
You don’t need to have read the books — every question brings its context with it. · Report this invite
Pick a topic, drop the link in the group. Everyone answers without seeing the others — then the map of the table opens: who’s on the same page with whom, which question split the table, who the chaos agent is.
No one can see your answers — the map appears once everyone’s sat down.
Why this, why now?
Swipe fatigue has peaked. ~78% of Gen Z report dating-app burnout; the market is shifting to swipe-free, intent-based, niche apps (Forbes Health, 2026 coverage).
BookTok turned a generation into readers. For Gen Z, books are an identity and status signal — “what are you reading?” is the new “what’s your sign?” (Publishers Association).
The Wrapped effect. People turn shareable identity cards made about themselves into a free distribution engine. Reader identity card = organic growth.
Single-player viral core: identity card + match link spread with no backend (bio link, story, WhatsApp). The dating pool opens in cities where density builds — the antidote to cold start.
1) Premium: unlimited books, “who read you”, deep match analysis. 2) Bookshop partnership: affiliate + white label (“D&R Heart Library”) + in-store reader meetups. 3) Publisher deals: new releases enter the question bank as sponsored entries.
Today the signal = books. The same engine can take star-sign, music (Spotify) and film (Letterboxd) signals — every new signal means a new user segment and a new partnership channel. The score formula is ready for weighted averaging.
Match Group / Bumble are collecting niche portfolios; the real asset here isn’t the match graph, it’s the book-based psychographic dataset and the AI question engine. For a bookshop chain, a ready-made loyalty + community layer.
The demo was branded “aynı sayfa*” — the double meaning of “we’re on the same page” carries into English too: SamePage.
1) Mobile app: the code is a single page of plain JS — wrapped in Capacitor it ships to iOS/Android in days; once a server exists, the invite link gives way to push-notified invites. 2) As the book bank grows, so does the character avatar set (hand-drawn additions to each set). 3) Live LLM: instant original questions for any book. 4) Localisation: the content layer is separate — a local edition for each country with its own book bank and cultural references (Austen-heavy for the UK, Zweig-Hesse for Germany…), multilingual interface.
This demo runs entirely client-side (zero server cost). In production, question generation connects to a live LLM API: any book → 2-3 outlook questions, automatically. The commercial version of the character avatars draws on public-domain heroes — trademarked names like Hermione stay in the demo.