RevOpsXL
Lettore wanted a reading app people actually came back to. RevOps XL built the AI backbone, the full backend, and the activation and retention loops that turn a first session into a habit.
Reading habit apps live or die on whether a user opens them tomorrow. Lettore came in with a clear product vision and zero infrastructure. They needed an AI layer that personalised recommendations without feeling generic, a backend that could carry the product through scale, and onboarding and retention loops that turned signups into a habit by week four.
The personalisation and recommendation engine sits at the centre of the experience. The service was designed so that recommendations get sharper with every session, surface the right book at the right moment, and never feel like a generic feed. The AI doesn’t just rank, it remembers what kind of reader you are.
Data model, services, APIs, the lot. The backend was treated as a long-term asset, not a hack to ship. Clear separation between identity, content, reading state, and behavioural signal. Everything the team needs to ship the next ten features is there.
First session: discover three books in under 60 seconds. First week: build a reading streak that the AI rewards. Month two: the habit is on autopilot. The loop was mapped end-to-end, instrumented, and the product built around it.
Want this for your team?
40 hours of senior practitioner work. Read-only access. Full documentation, 90-day roadmap, 2-hour walkthrough. Whether you keep RevOps XL on or not is your call.