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Designed a mascot for a health app
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Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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A full shoot, built from a single product photo.
I started with one flat e-commerce packshot, the same asset any brand already has, and built the rest: fabric detail, styling, and the product worn, on two models, across front, profile and back. One coherent world, one locked direction.
It works two ways: as pre-production, to explore several directions before a shoot and decide with something real in front of you, and as final, campaign-ready visuals for social and e-commerce, refined down to the detail.
And it scales in every direction: more products and full looks, several models in a single frame, different sets and moods from the same starting assets, and motion.
Find out more at https://lnkd.in/eXN3mFQE
Self-initiated project on EME STUDIOS pieces, not affiliated.
I’m closing my calendar for the coming month. If this could fit your brand, my inbox is open 📬
These are beautiful!
Pét Pals is an identity for rosé pét-nats made for Fête de la Musique 🎺
Made for 21 June, when music spills into the streets, squares, bars and gardens of France. Three low-intervention rosés. Three personalities. All made to be served cold, passed around and enjoyed wherever the sound takes you. Hear something good? Follow it. Spot your people? Join them. Pét Pals goes where the music goes.
Good wine. Loud music. Your pals.
You can read the full case study here.
Looks good!
When designing a music app, most teams start with the player screen.
We did too. It's the obvious center of gravity.
But when we worked on this concept, we noticed something. The player was the least interesting design challenge. Every music app has a player. Not every music app knows what you actually listen to.
So we built around the intelligence layer first Sound Intelligence. 18h 42m of listening time. 239 songs played. Peak listening 9 PM–12 AM. Genre distribution mapped across Lo-fi, Pop, R&B, and Others in a horizontal bar system that makes your taste visible at a glance.
The player came second. The library came third. And the AI Discovery panel 24 tracks, 96% match came last, because by the time a user reaches it, the app has already proven it understands them.
What we noticed was that designing analytics before aesthetics made the whole product feel smarter. The visuals followed the data, not the other way around.
Does your music app know you as well as this one does?
Love how intuitive this mobile app design is