Comment by kevinreisenbuk

Comment by kevinreisenbuk 6 hours ago

I’m building an AI-powered fashion search engine that helps people find clothes that actually match their style, fit and price across 1000s of brands and millions of products

Most shoppers spend hours to find the rights product. We’re fixing that with intent-based search that understands descriptions, images and personal preferences.

We’ve hit 25K+ searches in 4 months, growing 50% MoM, and built our own scraping system that makes product data collection 100× cheaper than existing tools.

Still early, but live. Would love feedback on search quality and result relevance.

PS! There are some products out of stock, this is expected, fixing it right now.

https://justsayless.com/

possiblelion an hour ago

pretty damn cool. tested it with some still frames from movies and pinterest boards and it found most of the things.

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[removed] 5 hours ago

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mrbear35 4 hours ago

Just gave it a try — I really like the look and feel of the site. After a few test runs and some prompting, I got some pretty spot-on matches. Excited to see the product collection grow and include even more familiar brands.

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kevinreisenbuk 3 hours ago

Thanks! We’re adding millions of products and thousands of new brands over the next few weeks. We’re also exploring second-hand listings.

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aikingking 3 hours ago

Gave it a try and worked wonderfully for me. Saved me around half a day of useless shopping haha

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famax 5 hours ago

Love the product. You’re solving a problem most shoppers feel but rarely name. What’s the biggest challenge in improving search relevance today?

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kevinreisenbuk 4 hours ago

Biggest challenges in search relevance are: - collecting and maintaining a large, clean, diverse product catalog (up to hundreds of millions of products) - actually understanding what users mean (not just what they type) - giving them ways to refine vague searches.
Skip any of these and even the fanciest ranking algorithms feel useless. Helping users bridge that gap is where relevance actually clicks.

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danyjane7 5 hours ago

Super cool Kevin, love the focus on solving real shopper pain. How are you thinking about standing out from giants like Google Shopping or Lyst as you grow?

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kevinreisenbuk 5 hours ago

We differentiate by focusing on intent, not keywords. The giants return results based on matching terms. We return results based on understanding what the shopper actually wants to do, backed by curated, high-quality data.

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elisabethraidma 4 hours ago

Loved this! Finally found a maxi long-sleeve red wedding dress without drowning in crappy filters and bad listings.

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foundermode3000 4 hours ago

Hmm, sounds interesting. What’s been the most surprising thing users are doing with it so far?

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