Find brands that
Coquette
Clean girl
Parisian
Retro
Boho
Acubi
Y2K
Streetwear
Dark Coquette
90's
Skater
Blokette
Kitsch
Office Siren
Goth
Whimsy
Old Money
Preppy
Sparkles
80's
Swedish Style
Mermaid Core
70's
Western
Trendy
Pinup
Mob Wife
Regency Era
Unique
Ballet Core
50's
Emo
Spanish
60's
Bold
Elevated Basics
Golfing Grandpa
Flowy Linen
Island girl
Earthy
Sci-fi
Fairy Core
Ethereal
Academia
Japanese Minimalism
Downtown girl
Blokecore
Sade Girl
Grandpa Core
Romantic
Gorpcore
McBling
AHS
Punk
Scene
Yoga Wear
Boho Chic
Granny Core
Bridal
Euro Summer
Pilates Princess
Opium Core
Korean Minimalism
Soft Boy
Grunge
Ultra Baggy
Maximalist
90's Minimalism
Dark Romantic
Surfer
Smock Core
Minimalist
Floral
Tennis Core
Athleisure
Business Core
Cottage Core
helps you discover fashion brands by what actually matters to you.
How it works
You spend hours bouncing between Instagram, Pinterest, Google, and TikTok, and still end up with the same five brands. You save outfits to boards and screenshots, but turning that inspiration into brands you can actually discover and shop is another story.
The brands that show up first aren't always the best ones. They're often the ones your algorithm already knows, or the ones with the budget to stay visible. Thousands of others never make it into your feed. You know what you like. Finding more of it shouldn't be this hard.
So we built discovery differently.
How it works
Filter what matters
Search fashion the way you actually think about it. By aesthetic, occasion, size, price, sustainability, location and more. Your preferences, your results.
BRAIN DEAD
America
BEAULARES
England
NATASHA ZINKO
England
PERMANENT VACATION
Australia
AMOY NEW YORK
America
AAIZEL
France
DEMODEMODE
South Korea
IMANA SWIM
Australia
INDAH
Indonesia
LENNI
Australia
Filter By
Frequently
asked questions
BRNDD is a fashion discovery platform that helps you find brands through the things that matter to you, from aesthetic and occasion to size, price, sustainability, shipping, location and more.
Discover brands you may not have found otherwise, save what you love and head directly to the brand when you’re ready to shop.
Google works best when you already know what you’re searching for. Pinterest, Instagram and TikTok are great for inspiration, but discovery is often shaped by what’s already in your feed.
BRNDD is built specifically for fashion brand discovery. Search and filter around what matters to you, discover brands outside your usual orbit and save what you find so you can come back to it later.
Search and filter brands using the things you actually care about, including aesthetic, occasion, size, price, sustainability, shipping and location.
You can start with something specific or simply explore and see where discovery takes you.
BRNDD brings together 1,000+ curated fashion brands and counting, from independent labels and emerging designers to established names you may not have discovered yet.
Yes. Save brands you love and organise them into boards around an aesthetic, occasion, trip, mood or whatever you’re planning.
You can come back to them later and share your boards with friends when you want to discover or plan together.
BRNDD helps you discover and save the brands you love, then sends you directly to the brand’s store when you’re ready to shop.
Yes. BRNDD is completely free for shoppers. Discover brands, save what you love and head directly to the brand’s store when you’re ready to shop.
Your results are shaped by what you’re looking for, from aesthetic and occasion to size, price, sustainability, location and more.
BRNDD surfaces brands based on how relevant they are to your preferences, helping you discover more of what actually fits your search.
BRNDD is currently preparing for launch. Join the waitlist to be among the first to hear when access opens and follow everything we’re building along the way.
You’ll receive launch updates, first looks at new features and brands being added, and be among the first to hear when access opens.
Fashion discovery is about to change.
Join the waitlist for early access and everything coming next.