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Case Study · Entertainment

Storyby:stories that scale.

An AI-native entertainment ecosystem that turns original ideas into books, series and films. We rebuilt audience activation, tuned the content delivery layer and wired analytics into every release — and growth became predictable.

Senior-Only EngineersOnboard in 1–3 WeeksYou Own All IP & Code

Apex in numbers

Results snapshot

40%

MoM growth after launch

3

Product lines served

4

Core technologies

95%

Sprint predictability

About the project

What Storyby is.

Storyby is an entertainment tech company building an AI-native ecosystem around original stories. Ideas are developed into an Originals Library of books and serialized reads, validated by a large reader audience, and the strongest titles move on to the screen as films and series with recognized acting talent attached.

When we joined, early growth had exposed two bottlenecks: onboarding lost too many new readers before their first story, and content delivery latency made a reading-first product feel slower than it should. The team needed engineering that could fix both without pausing the release calendar.

What we did

The work behind the result.

01

Audience Activation Redesign

The path from first visit to the first finished read was rebuilt end to end:

  • Onboarding states mapped and simplified
  • Time to first story cut to minutes
  • Friction points tracked weekly

02

Content Delivery Layer

Latency in serving a large originals catalog was engineered out:

  • Query paths profiled and optimized
  • Caching for story content
  • Latency budgets enforced in CI

03

Product Analytics Checkpoints

Growth stopped being a guess — every release ships with measurement:

  • Funnel events at each step
  • Cohort retention tracking
  • Experiment readouts for the team

Project gallery

Inside the ecosystem.

A look at the platform our team shipped — tap any frame to view it fullscreen.

Technology

The stack that shipped it.

A typed Next.js front end on top of PostgreSQL, deployed on AWS — chosen for iteration speed first and a growing content catalog second.

Next.jsTypeScriptPostgreSQLAWS

When you need it

Built for moments like these.

If any of these sound familiar, a short discovery call is usually enough to scope the team, the plan and the first milestone.

  • Reached 40% month-over-month growth after launch optimization
  • Turned acquisition experiments into a predictable growth loop
  • Strengthened retention in early reader cohorts
  • Gave the product team weekly visibility into funnel health

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