matylla

10 ms·

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Show HN: Compressor.app – Compress almost any file format(compressor.app)
4 points by matylla 7mo ago|0 comments
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by matylla 3y ago
Hey HN! I'm excited to introduce intern.work, a dedicated job board and learning hub created solely for internships. While looking for interns to join my company, I realized there are very, very few places for internships alone so I de
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Show HN: Intern.Work – a job board and learning hub for internships(intern.work)
1 points by matylla 3y ago|1 comments
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Show HN: SupaRes – AI-powered image enhancement platform(supares.com)
3 points by matylla 4y ago|0 comments
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by matylla 5y ago
Complex SVG Favicons will usually be larger in term of bytes than highly compressed PNG icons. We did an extensive study of Favicons served on the top 500 websites [1]. If you want to stick with the old-school PNG icons, we open-sourced `ic
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The Case of the Missing SIMD Code(optidash.ai)
1 points by matylla 5y ago|0 comments
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by matylla 5y ago
Check out https://optidash.ai if you need an API for this.
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Show HN: Icopack – Favicon packing and generation done right(github.com)
1 points by matylla 6y ago|0 comments
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Optimizing Favicons for the World's Top Websites(optidash.ai)
6 points by matylla 6y ago|2 comments
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by matylla 6y ago
Thanks for chiming in. It's a perceptually lossless optimization and recompression. We use saliency detection (trained on an eye-tracker) which tells us where the human vision system would look in the images and optimise those fragment
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by matylla 6y ago
This reminds me of an experiment [1] we run a couple months back. We crawled top 100 Alexa websites and check the bloat in the images served to billions of users. [1]: https://optidash.ai/blog/optimizing-images-on-the-w
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Accelerating JPEG Coding with Multiple Threads(optidash.ai)
10 points by matylla 6y ago|1 comments
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Show HN: Optirank – Effortlessly optimize all images on any website(optirank.io)
4 points by matylla 6y ago|0 comments
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Optimizing Images On The World's Top 100 Websites(optidash.ai)
2 points by matylla 6y ago|0 comments
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by matylla 6y ago
Hello folks, A few days ago I've lanunched Optidash - ML-enhanced image optimization and processing API. Optidash builds on top of another product of mine (Pixaven) and runs entirely on Mac Pros (as pioneered by imgix). While Optidash
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Show HN: Optidash – ML-enhanced image optimization API(optidash.ai)
10 points by matylla 6y ago|1 comments
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by matylla 6y ago
It does not, however I have zero problems hitting cmd+r when I’ve made the request.
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by matylla 6y ago
...or https://hookbin.com
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by matylla 7y ago
Sure thing. Master images (user uploads) are deleted immediately after the processing is done (detection and cropping). Cropped faces are removed one hour after the upload so that you have time to download them back.
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by matylla 7y ago
Hello HN, Yesterday I launched a simple, yet very effective tool for online face detection, cropping and filtering. The idea is very simple - upload as many images as you like and FaceMaze will give you back all the faces cropped from those
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Show HN: FaceMaze – the missing web interface for accurate face detection(facemaze.io)
8 points by matylla 7y ago|5 comments
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Ephemeral Storage Solution with Node and Redis(pixaven.com)
3 points by matylla 7y ago|0 comments
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by matylla 7y ago
I second that. High performance image processing with NVIDIA means writing low level CUDA, something I am not willing to invest my time in (at least for now). Translating all the code and custom kernels I wrote for Core Image would be quite
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by matylla 7y ago
Core Image by itself is worth investing in a proper (Apple) hardware. Now that we can write custom Metal kernels and plug them straight into Core Image is even more beneficial. We can come up with any pixel modifications that will be execut
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by matylla 7y ago
Now that is a perfectly valid point, thank you for this. I guess we have to simplify the contents of our marketing materials.
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by matylla 7y ago
Fixed and deployed. Thanks for the heads up.
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by matylla 7y ago
This thread by imgix [1] perfectly explains the reasoning behind using Apple's hardware in a datacenter. [1]: https://news.ycombinator.com/item?id=9500301
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by matylla 7y ago
Sure, you could use a solution that simply wraps ImageMagick with a Ruby API and call is a day. The whole point of having a GPU-powered platform is processing speed. On average, it takes us 60ms to perform any stack of image transforming op
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by matylla 7y ago
Yes, exactly that. Pixaven is a service meant (ideally) for businesses running at scale. If you're a large e-commerce platform with literally millions of new images (and their variants) created per day you would be looking for a solid
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by matylla 7y ago
Thanks for the heads up and all kind words! Correcting all typos now.

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