A new startup called Daydream wants to use to make your fashion fantasies a reality. The tool purportedly analyzes a user’s natural language prompt — for example, “Bright colored sneakers that feel old school and classic” — and finds matching pieces of clothing in its database of participating brands.
The startup “the largest high-quality branded fashion catalog found anywhere,” so it may not be helpful for everyone looking for new threads on a budget. According to , some of the more than 2,000 brands in Daydream’s catalog include Altuzarra, Jimmy Choo, Dôen, Everlane, and Alo Yoga. The cheapest of those — Everlane — sells $40 tank tops and $128 jeans. Folks looking for more affordable pieces will probably have to stick with Google search. Thankfully, Google already has a similar tool — “— built in.
Daydream has raised $50 million in seed funding from leading firms, including Forerunner Ventures, Index Ventures, Google Ventures, and True Ventures, as part of a more significant trend across the industry. A of generative AI deals showed a 268.4 percent increase in AI deal value in 2023 compared to 2024.
Daydream’s founder, Julie Bornstein, was COO at StitchFix and co-founded fashion discovery platform The Yes in 2018 (Forerunner Ventures and True Ventures were investors in that company, too), which was acquired by Pinterest in 2022.
Those interested in being one of the first to try Daydream can to register for its public beta later this year.
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