Have you ever thought about who the “Fashion Crowd” is? Who are they? What do they love? Where do they go? “Fashion Crowd” surrounds us. They are everywhere, in streets,...
Have you ever thought about who the “Fashion Crowd” is? Who are they? What do they love? Where do they go?
“Fashion Crowd” surrounds us. They are everywhere, in streets, cafes, cinemas and stores.
They love museums and flea markets, they find beauty both in second hand shops and in luxury boutiques.
They love take away coffees and enjoy drinking cappuccino in fancy coffee shops.
They love everything about fashion, even the word “FASHION”. “Fashion Crowd” surrounds us, yet many of them do not even know that they belong to this crowd. But we do!
Here at HAY-HAY we’ve got our very own “Fashion Crowd”, and you will absolutely love it.
This is a special project by HAY-HAY, covering people related to the industry. Stylists, photographers, editors, fashionistas, artists, people who love and follow fashion, even those who secretly follow the industry, those working and creating in Armenia and worldwide.
Within the first episode we have done a series of interviews with “Fashion Crowd” in Yerevan.
We talk a lot about knowing what we buy. But how much do you actually know about the sweater you're wearing right now? Where did the wool come from? Who...
We talk a lot about knowing what we buy. But how much do you actually know about the sweater you're wearing right now? Where did the wool come from? Who...
One of the best parts of Fashion Week is still discovering a brand and having the chance to learn the story behind the clothes. In Copenhagen, one of those discoveries...
One of the best parts of Fashion Week is still discovering a brand and having the chance to learn the story behind the clothes. In Copenhagen, one of those discoveries...
Good taste used to signal something stable, a trained eye, a set of references, a way of distinguishing quality from noise.That stability is cracking. Algorithms now shape what looks desirable...
Good taste used to signal something stable, a trained eye, a set of references, a way of distinguishing quality from noise.That stability is cracking. Algorithms now shape what looks desirable...