TL;DR

Glaze is the easiest and most fun shopping experience powered by AI. Instead of needing to know exactly what you want when shopping, you can find relevant and cool items from queries like “simple and elegant dinner party outfit” and “what would Barbie and Ken wear to an investor meeting”. We are 3 MIT founders who love fashion as much as we love coding.

The Problem

Who knew spending money on clothes could be so full of friction and painful —

you are looking for a pair of linen pants,

you go on google shopping or an aggregator like Nordstrom,

you get literally 1000s of listings fed to you,

you go down the listings, 95% of which are pure noise and only 5% are actually interesting,

you couldn’t quite decide on anything, yet wasted 2 painful hours in the process.

Glaze

useglaze.com

Glaze makes finding clothes from trending, unique, high-quality brands easier and more fun.

Search anything — we mean anything — to shop products from accurate search results powered by our AI.

Some past queries from our real users

• “Y Combinator broke startup founder”
• “lit san francisco black sweater”
• “I'm Luke Skywalker”
• “I like techno”
• “Male guest at a wedding in Italy this summer”
• “Comfortable, hip, and classy clothes for 40 years old”

Our Team

We became best friends while studying computer science at MIT. We’ve had many adventures together but our favorite was running campus-wide clothing pop-ups our senior year. We sold over 1000 pieces of clothes in <24 hrs and built a clothing reselling app for students.

Now wanting to use AI to shape the future of online shopping, we’re building Glaze together.

the team from left to right

Savannah: Built the refund payment pipeline at Amazon Advertising that handles $1.7B cash volume annually. Fun fact, she is also a fashion/lifestyle influencer with 100k+ followers.

Maggie: Wide range of industry experiences ranging from Bain to Bloomberg. She had a side hustle building her own slime e-commerce business, growing it to 200k+ Instagram followers.

Pearl: The ML goddess of the team. She optimized LLM training for an open-source chatbot at FAIR (Facebook AI Research) and built an ML pipeline for mobile game LTV prediction at Assetario.

The Ask

• Try useglaze.com
• Share with friends and family
• Give us feedback and schedule a shopping session with us at https://calendly.com/useglaze/15min
• Request more brands
• If you have any connections to clothing brands, we would love to connect.

We hope you all have fun! Feel free to reach out to founders@runglaze.com anytime!