CASE STUDY 05
Published

DomeLearn — Mobile Learning Platform

React Native · Expo · Google Play · Published

MobileEducationReact NativeExpo
DomeLearn — Mobile Learning Platform
SYSTEM_MONITOR // DOMELEARN
SCROLL
THE PROBLEM

Every learning platform assumes you have 20 minutes. Nobody on the bus has 20 minutes.

Traditional learning apps require session commitment — open the app, find a course, navigate to where you left off. The friction is too high for fragmented time people actually have. The result: opened once, never returned to.

THE STANDARD APPROACH FAILS BECAUSE:

Course-based structure requires navigation commitment
Progress tracking creates anxiety when sessions are incomplete
Video-heavy content is inaccessible on slow mobile connections
Desktop-first design translated to mobile — never built for thumb-scroll
THE ENGINEERING CHALLENGE

Traditional platforms feel 'heavy' and require significant time commitments, making them inaccessible for short, fragmented time gaps.

"Neural Story pattern — each post connects concept, analogy, and visual in under 90 seconds."

— KEY ARCHITECTURAL DECISION

TECHNICAL DECISIONS // 5 MADE

01

Neural Story design pattern for maximum retention

02

Adaptive content structure for Programming, Math, and Languages

03

Purpose-built mobile architecture (React Native) for fluid scrolling

04

Progress state management for offline/online sync

05

Fully published and maintained on Google Play

SYSTEM ARCHITECTURE
DOMENeural Story EngineConceptAnalogyVisualConnectionGoogle PlayPUBLISHEDReact NativeExpoAsyncStorage
PRODUCTION_EVIDENCE // VAULT_01
Buffer_Active
SSD_R_1.2GB/s
HOME FEED
HOME FEED

Neural Story format — concept, analogy, visual

LIVE_PROD
IMG_ID: 1042
WHAT WAS BUILT

Content Engine

NEURAL STORY PATTERN
  • Each post: Concept → Why → Analogy → Visual → Connection
  • Programming, Mathematics, and Languages tracks
  • Under 90 seconds per complete learning unit
  • Offline content caching for low-connectivity environments

Application

REACT NATIVE + EXPO
  • Scroll-based consumption — no navigation commitment required
  • Progress state management with offline/online sync
  • Full Arabic language support with RTL layout
  • Published and live on Google Play Store