SquidHub — Team Collaboration App Enhancements
Overview
Enhanced SquidHub's Android team collaboration app with image messaging in chat, calendar integration for TODO management, and a local SQLite database for offline performance improvements. Rated 4.7★ by the client on Upwork.
The Challenge
SquidHub's Android app had three key gaps: chat only supported text (no image sharing), TODOs were disconnected from the user's calendar, and the app performed poorly on slow network connections due to excessive server round-trips for data that rarely changed.
What We Built
We implemented image upload and display in the team chat with compression and caching, built two-way calendar sync for TODOs so deadlines appeared in users' native calendar apps, and introduced a local SQLite layer to cache channel data, messages, and user lists — reducing network dependency and dramatically improving perceived performance on slow connections.
Results
All three features shipped successfully and improved daily usability for SquidHub's teams. Performance on slow-network devices improved significantly with the local cache layer. The client rated us 4.7★ on Upwork: 'Great communication and delivered everything as expected.'
Technologies Used
Questions & Answers
Why SQLite instead of just caching in memory?
Memory cache is lost when the app is backgrounded or the device is restarted. SQLite persists across sessions, so users see their channels and recent messages instantly when they open the app — even with no internet connection. This was particularly valuable for users in areas with intermittent connectivity.
How did you implement the image chat feature?
Images are compressed client-side before upload to reduce bandwidth, uploaded to Firebase Storage, and the URL stored in the message record. The chat list lazy-loads thumbnails with a placeholder while the full image loads, so the UI never stalls waiting for large images.
Do you do feature additions to existing Android apps?
Yes. We regularly take on focused feature work on existing Android codebases — we're comfortable reading unfamiliar code quickly and integrating new features cleanly without destabilising what's already working.