Is NextRead a client project or your own product?
It's ours. WAM designed, built, and published it end to end — the same team, the same delivery discipline we use on client work.
// Case study / NextRead
The right book for right now.
A consumer app we designed, built, and published ourselves, live on Google Play. NextRead recommends what to read next from mood and taste rather than bestseller charts.
The situation
Millions of titles, and almost no useful guidance. Charts and star ratings rank books by popularity, which ignores the thing that actually decides whether a book lands: what the reader is in the mood for at that exact moment.
What we built
Mood-to-book engine
The reader writes how they feel in plain language. The app reads emotion, theme, and intent from that text and matches titles to the moment rather than to a chart position.
Taste profiling
Three favourite books or authors plus a preferred genre build a personal profile, so recommendations improve as the app learns what a reader actually reaches for.
Shortlists with reasoning
Suggestions arrive as a short, explained list — why each book was picked — instead of an endless scroll the reader has to filter themselves.
Native mobile app
Designed, built, and shipped to the store by our own team — the full path from concept to a published listing, not a prototype.
NextRead is a WAM product. The team that builds for clients took it from concept to store.
Questions
What makes its recommendations different?
It starts from mood and taste rather than popularity. A reader describes how they feel in their own words, and the app interprets emotion, theme, and intent to build a shortlist — with the reasoning attached.
Can we see it?
Yes — NextRead is live on Google Play.
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