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making perf testing fun: the reverse image search i built for Patina Systems is so fast we can literally search your library with a camera feed. it will embed each frame from the stream in ~10ms and finds the most similar photos in my last 20k photos in ~15-20ms,... show more

Tyler Angert

15,469 subscribers

38,353 views • 11 months ago •via X (Twitter)

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we're working on a new photo search engine called Angles. it's focused on doing one thing well: finding photos + videos by visual similarity. here is raw, unedited footage of me going through my 80,000 photo camera roll *in realtime* with text-to-image search, image-to-image search, "find similar" inside of a photo, and "live search" with the camera. all done with local models and completely private. auto-growing albums coming soon :-) Angles has been exceptionally useful for my friends who do creative work. when words fail to describe what you are looking for, you can simply tap on any asset and instantly see everything else like it across your entire library. we're in early beta - if you want access please send a DM to Patina Systems with your testflight email! i have spots available for another 50 people

we're working on a new photo search engine called Angles. it's focused on doing one thing well: finding photos + videos by visual similarity. here is raw, unedited footage of me going through my 80,000 photo camera roll in realtime with text-to-image search, image-to-image search, "find similar" inside of a photo, and "live search" with the camera. all done with local models and completely private. auto-growing albums coming soon :-) Angles has been exceptionally useful for my friends who do creative work. when words fail to describe what you are looking for, you can simply tap on any asset and instantly see everything else like it across your entire library. we're in early beta - if you want access please send a DM to Patina Systems with your testflight email! i have spots available for another 50 people

Tyler Angert

158,153 views • 3 months ago

Pushed my 11” telescope to the limits for this one. You can really see the benefit of why I shoot so many photos in the final result. By the way, each frame of video here was made from 6,000 photos 🫨

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Andrew McCarthy

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I've been experimenting with making a thumbnail search engine for YouTube. Put in a thumbnail, and it will show you similar thumbnails. Click on any thumbnail to see the most similar thumbnails. What do you think?

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Charles Weill

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Making it so you can search data directly in the top bar. Would you prefer if we bring the search box out to a modal panel like this or keep it as is?

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I asked Opus 4.6 in Claude Code to build me Borges's Library of Babel. An hour later it delivered this. The AI implemented a Feistel cipher so each possible book has a real location, you can search for text across the Library & find the book. Enter it:

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Create a highlight video of your favorite vacation, activity, or event in just a few taps! Simply search for what you want to feature, and Google Photos will choose the best clips & photos in your gallery, add music and sync the video to the music to bring it all together.

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The 18MP selfie camera in the iPhone 17 is huge It’s a square sensor, so you get horizontal and vertical photos and videos while holding it normally, so you don’t need to rotate it. It also uses AI to automatically switch between views depending on who’s in the frame.

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Max Weinbach

233,568 views • 10 months ago

I can search a database with 32 million records in less than 50 milliseconds. This speed is insane! There's no reason your search is slow. There's no reason you aren't using this library when building applications with a lot of data. Take a look at typesense |. It's an open-source search engine. It's crazy fast and easy to use. They are sponsoring this post. Here is their GitHub repository: You can use the library in Python, JavaScript, PHP, Ruby, Swift, and pretty much any other programming language out there. Here are some of the things you can do with Typesense: • Vector search over embeddings • Conversational search for RAG applications • Image similarity search • Voice search And it does all of this extremely fast. A few interesting notes about the library: • Optimized for developer happiness • Works out of the box for most use cases • Very intuitive API • Easy to deploy and scale Probably the best way to compare them is against ElasticSearch. The latter is much more complex to configure and run with a steep learning curve. Check their GitHub repository. They have examples, tutorials, and everything you need.

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We all know adding media automatically boosts your posts on the algorithm So I built a tool that can generate any image with your tweets using Nano Banana. You can search for the right memes, create infographics and more with JUST text

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I've made this animation a few months ago. The city and the cars assets come from Epic Ganes Market Place. All the rest is my stuff. It runs in realtime with an rtx 2070...Lots of room for improvement but i had a lot of fun making it..

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