Why we build
.
This app is not for showing outfits.
It is a system to organize clothing memories and make future choices easier.
MODES is not a social substitute, but a calm personal archive.
Why it exists
Why do we need to face our own closet now?
Clothing is a daily choice and a form of memory.
But records get scattered and insights fade away.
MODES was born to keep those fragments as your personal timeline.
Unify scattered records
Choose with reasons, not just feelings
See preferences across a long timeline
Designed for COMME des GARCONS
MODES was built to deeply understand the collection and styling of COMME des GARCONS.
Scan a care label and MODES auto-detects brand, year, and material. No manual entry — your collection data grows naturally.
Season-by-season archives visualize your relationship with the brand over time: which era pieces you own, how you've worn them.
MODES is a quiet space that continuously records the dialogue between you and COMME des GARCONS.
AI Label Scan
Snap a care label to auto-fill brand, year, and material. Your collection data builds itself.
Seasonal Archive
Organize items and looks by season. See your collection history at a glance.
Brand Connection
Wear counts, era distribution, material trends — data reveals how close you are to the brand.
What we solve
Turn invisible friction into concrete solutions.
Records are hard to find
The more photos you have, the harder it is to find past looks.
Taste shifts go unnoticed
You end up relying on vague impressions of what you wear most.
Buying decisions feel shaky
The line between need and want becomes blurry.
MODES philosophy
Privacy first
Your data stays with you. Sharing is never the default.
Structured organization
Use time, tags, and items to turn records into data.
Intentional choice
Looking back makes the next choice clearer.
System flow
MODES is designed around four flows that help records grow.
Shoot and save. Start logging with minimal effort.
Organize with tags and fields so you can find anything anytime.
Look back and make insights visible.
Support the next choice with both data and feeling.