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What we're learning, building, and thinking about in Flutter, AI, and product development.
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Building AI-Powered PII Redaction for Mental Health Research
How we built an intelligent document redaction system for mental health research that handles multilingual transcripts, preserves research context, and gives researchers final control over what gets redacted.
AI-Powered Video Workflows: From Raw Footage to Edited Story in Minutes
Video editors spend hours organizing footage, creating transcripts, and planning cuts. We built AI workflows that do this automatically—turning 2 hours of raw footage into a structured story outline in under 5 minutes.
Uploading 10GB Video Files Without Timeouts: A Chunking Strategy That Actually Works
Video editors need to upload 5-10GB files from their desktop. Standard HTTP uploads fail after 30 seconds. Here's how we built a chunked upload system that handles massive files with resume support and real-time progress tracking.
How We Process 50 Video Uploads Simultaneously (Without Melting Our Servers)
A mental health research platform needed to transcode hundreds of interview videos per day. Here's how we built a system that processes multiple videos in parallel—turning a 6-hour bottleneck into a 20-minute workflow.
Building Tap-to-Pay: Accepting Card Payments With Just a Phone (No Hardware)
Payment terminals cost $300+ per device. We helped a fintech startup build a mobile app that turns any NFC-enabled phone into a payment terminal—accepting contactless cards without any additional hardware.
Why We Build Everything Flutter-First
The real reason isn't cross-platform. It's velocity. Here's why Flutter is our default choice for every new product.