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Launch HN: Shaped (YC W22) – AI-Powered Recommendations and Search

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Re: Launch HN: Shaped (YC W22) – AI-Powered Recommendations and Search

#32
post #30

Earlier quoted context omitted.

LanceDB! We love it.

What made you go with lance?

The performance for us was best when we evaluated a couple of options, both in terms of scale and latency. I also like the arrow/dataframe interface. We use arrow everywhere else at Shaped so it was a natural integration.

Re: Launch HN: Shaped (YC W22) – AI-Powered Recommendations and Search

#33
Congrats (from a fellow Melbournian) on the launch. I used to work at Coles and Catch leading their online businesses, search and product recommendations was a big part of it. We had over tens of thousands of SKUs. It's harder when trying to do it with dynamic inventory locations and quantities (Coles had over 850 online stores that my team managed). We were looking at Algolia but it wasn't quite there yet (back then). I don't think anyone has solved for that as yet (I left Coles >5 years ago). Curious to hear how you would approach it.

These days I'm the founder of a circular economy marketplace for South Asian ethnic clothing and items - PurvX. The current search is terrible (due to the low-code platform it's on), will be keeping Shaped on my radar when we re-platform.

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