Implemented offline-first behaviour with SQLite setup and local queries
SnapHatch
Built for life beyond the signal.
An angling application with a digital fly box, catch logs, maps, and hatch reports.
Case study by Girraj Sharma
01 / THE CHALLENGE
What shaped the work.
Keep an outdoor guide useful where signal is weak while still synchronizing field data once connectivity returns.
02 / THE SOLUTION
What I worked on.
Worked on insect identification, digital fly box, catch log, maps, and hatch reports
Integrated APIs and catch-location tracking
Supported synchronization between local and remote data after reconnection
03 / SYSTEM VIEW
How the product was structured.
SQLite-backed local source of truth
Offline-capable feature flows
Network-aware API synchronization
Map and location data integration
04 / RESULTS & IMPACT
What changed.
Offline data work delivered a measured 20% faster startup. Background synchronization allowed users to continue using the app while data downloaded.
MY ROLEWorked on local SQLite data, API integration, and synchronization when connectivity returns.
05 / PERFORMANCE & UX
Keep using the app while data catches up.
Added background data synchronization so downloads could continue while users interacted with the app.
Used locally available offline data to improve startup responsiveness instead of making startup depend on fresh downloads.
Combined SQLite-backed data, API integration, and reconnection syncing for the outdoor experience.
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