Minuscule SVG versions of popular website and app logos, each under 1KB.
SuperTinyIcons is a collection of extremely small SVG icons representing popular brands, websites, and technologies. Each icon is under 1KB in size, making them ideal for web projects where performance and fast loading times are critical. The project solves the problem of bulky logo assets by providing minimal, scalable vector versions that maintain brand recognition.
Web developers, designers, and frontend engineers who need lightweight brand logos for websites, applications, or documentation. It's particularly useful for projects where performance optimization is a priority.
Developers choose SuperTinyIcons because it offers the smallest possible logo files without compromising quality, reducing bandwidth usage and improving page load speeds compared to traditional icon sets or PNG alternatives.
Under 1KB each! Super Tiny Icons are miniscule SVG versions of your favourite website and app logos
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Icons average under 534 bytes each, with examples like Flickr at 235 bytes, drastically reducing bandwidth compared to PNG alternatives shown in the README.
SVGs have a 512x512 viewbox and scale perfectly for any display, ensuring sharpness on retina screens without extra assets.
With over 475 icons covering major brands from GitHub to TensorFlow, it eliminates the need for multiple icon libraries in most web projects.
All logos fit within a circle of radius 256, providing uniformity when displayed together, as emphasized in the project philosophy.
Icons are minimalist and unstyled, requiring custom CSS for any color changes or effects, which adds development overhead.
SVGs lack default ARIA attributes or alt text, forcing developers to manually implement accessibility features for screen readers.
New icons or logo refreshes rely on contributor submissions, leading to potential delays for trending brands or recent changes.
The focus on minimal file size can reduce recognizability for complex logos, as some intricate details are omitted in the optimization process.