Cache- A Better Way to Save & Find Things
We save content constantly, but finding it again is another story. Cache brings your scattered saves from across the internet into one organized space, using AI to summarize, categorize, and help you rediscover what you saved.
Role
Product Designer
Timeline
August, 2026
Project Type
Concept based
Tools
Figma
The Problem
We save everything. So why can’t we find anything?
Instagram Reels, YouTube videos, Reddit threads, LinkedIn posts, Pinterest ideas... our saved content keeps growing across different platforms, but there’s no easy way to actually revisit it.
A useful video gets buried. A restaurant recommendation gets forgotten. A post we wanted to read later disappears into hundreds of other saves.
The problem wasn’t saving content. It was finding value in it later.
The Concept
What if saving wasn't the end of the journey?
I started exploring the idea of a single space where saved content could live beyond the platform it came from. Instead of simply storing links, the product would understand what each piece of content contains and make that information easier to access later.
That idea became Cache, a personal library for the internet. Users can save content from different platforms, while Cache adds an intelligent layer on top of those saves through summaries, automatic categorization, search, transcripts, and location detection.
Mapping the Experience
Turning the idea into a clear product flow.
Once the core experience was defined, I mapped the major user flows to understand how saving, organizing, searching, and rediscovering content would connect.
The flow helped keep the product from becoming another complicated bookmarking system. Each action was designed to lead naturally to the next, while keeping AI assistance in the background rather than making it another step users had to manage.
Building the Brand
The Final Product
