Raztom Lab
Case Study

Compress-it

Compress-it started from recurring file-size friction and grew from a browser utility into a desktop direction for heavier media workflows.

LiveShrink images and videos for upload limits
Role
Product architect, AI-assisted implementation
Timeline
Iterative workflow tool
Stack
Canvas, browser compression, desktop app direction
Status
Live utility

The Friction

File limits tend to appear during uploads, emails, pitch decks, and website work. Existing compression tools often add ads, caps, registration, or privacy concerns.

The Constraints

I needed a practical tool despite not coming from a formal coding background. Browser-based processing also has real performance boundaries, especially around larger media.

The Solution & Build

With AI as the engineering partner, I mapped the compression flow, used browser-side processing for images, and treated bigger video and large-file needs as a desktop app direction.

The Impact

Compress-it reduced my own weekly operational friction and changed the scope of what I could build: from using tools to shaping the toolchain around the workflow.