78 Interest Score
26 Discussions
0.33 Engagement
Dec 2022 Launched
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Easiest AI-powered image search API: ⏱️ Save time, find exactly what you’re looking for with tech that is not limited to keyword matching 👌 No tedious tagging needed: our AI sees and understands your images 🔃 Easily connect your data on S3, Postgres, and more

What the Community Said

Thanks to @picsoung for hunting us! 👋PH community! I’m Pablo, co-founder of Kailua Labs along with @lance_hasson1 and @jodaiber. 🤦Finding media shouldn't be this hard Imagine this: you have an app or a site with a lot of visual content like stock images or an e-commerce store. To help users find what they’re searching for, you tag images manually or maybe use an error-prone and incomplete auto-tagger. But the search process for your user remains tedious: they search, scroll and filter endlessly.

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Great work! What are the main differences compared to Google Image Search?

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Does it / will it offer any customization/training on top of what it supports out of the box? For example if I find the results “good” but not “great”, what are my next steps?

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Looks pretty cool. Curious, can I search for video content as well?

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I tried it out this morning and I was surprised how easy it is to get started. LOVE how you’ve made this tech accessible behind an API. I was thinking of offering search like this on my site but it felt complicated and time-consuming. But if this is a turnkey solution, then it’s a game-changer for on-site search. Does the platform recognize text in images? For example, if I have an e-commerce store, will your tech recognize the labels on products?

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Frequently Asked Questions

Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.

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