Free Responsive Website Tester
Preview URL across 4 devices at once — free, no signup
What it does
Sorawi Respo renders the same website on desktop, laptop, tablet and mobile simultaneously. Drag devices into position, overlap them, capture the whole canvas, and export as PNG, JPG, SVG, WebP or PDF. Built because resizing a browser window one width at a time is slow and hides comparison.
Test responsive website design by previewing any URL on desktop, laptop, tablet and mobile screens at once. Arrange the device stage, capture and export as PNG, JPG, SVG, WebP or PDF. Free, no signup.
Paste a URL and see it live on desktop, laptop, tablet and mobile at once — then export the whole composition in one click. Everything in Sorawi Respo exists to answer one question quickly: does this page work at every screen size? See the same URL on desktop, laptop, tablet and mobile screens at the same time — one glance instead of a sequence of resizes. Every frame renders the page at its own viewport width, so layout, navigation and typography issues become visible side by side. 34 presets from Studio Display to iPhone 13 mini, with custom viewport sizes from 240 to 4096 px and portrait/landscape rotation for tablet and mobile. Drag devices anywhere, let them overlap, and control the…from respo.sorawi.com
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Launched alongside, August 2026
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Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com