Mindbowser built the iOS app, Android app, and web admin backend for a social video and photo competition platform, including the GPU-accelerated filtering, watch-time-based vote integrity, and auto-scaling HLS streaming infrastructure behind it. No comparable platform existed to build from at the time.
Talk to UsA social video and photo competition platform where users upload content, vote on entries, and see daily and monthly winners crowned by vote count.
iOS app, Android app, and web admin backend, including video streaming architecture and custom analytics.
iOS, Android, HLS Video Streaming, GPUImage, Amazon S3, Amazon RDS, Auto Scaling.
Delivered
The build started without a close product precedent, and each layer of the platform surfaced its own technical constraint.
No platform combined user-generated video and photo competitions with real-time voting and brand participation at the time, so there was no comparable product to build from.
Applying filters to video is far more processing-intensive than applying them to static images, and filters needed to render quickly at upload without slowing the pipeline down.
The voting mechanic required a user to watch at least one-third of a video before their vote counted, which meant building event-level tracking into Apple's video player rather than relying on a simple watched or not-watched flag.
High-volume video uploads and streaming needed infrastructure that could scale without degrading playback for viewers.
Because the platform was open to user-generated content, it needed a real moderation system to handle abusive or flagged videos.
A native iOS and Android front end backed by GPU-accelerated video processing and auto-scaling HLS streaming infrastructure.
Mindbowser designed and built the iOS app, Android app, and web admin backend end to end, matching the youth-oriented visual identity the client wanted and giving the admin team visibility into platform activity.
Video filtering is far more processing-intensive than filtering static images, and the voting mechanic depended on knowing exactly how much of a video a user had actually watched.
High-volume video uploads and streaming needed infrastructure that could scale without degrading playback for viewers.
Because any user could upload content to a public competition, admins needed a direct way to review and act on abusive or flagged videos.
Talk to us about product engineering for consumer video platforms, from GPU-accelerated processing to streaming infrastructure that holds up under high-volume uploads.
Partner with us to design, build, and scale digital solutions that drive better outcomes.
Global Tech Teams LLC, 525 Washington Blvd, Industrious at Newport Tower, Jersey City, NJ 07310, United States.
Let’s discuss your goals, workflows, and next steps in a focused consultation call.
Schedule a Call 
BLOGS 
NEWSROOM 
CASE STUDIES 
WEBINARS 
PODCASTS 
ASSET HUB 
EVENT CALENDAR 
