CapAnything
Capture any component. Caption it instantly.
What it does
CapAnything is an open-source Chrome extension that lets you capture specific DOM elements with pixel-perfect precision. With built-in AI, you can instantly turn your screenshots into engaging posts for 7 social platforms in 18 languages.
Visually select and capture pixel-perfect bounding-box screenshots of DOM elements, then let AI craft ready-to-post captions for 7 social platforms in 18 languages.
Does the same job
all alternatives →

- SWScreenshot web components with one clickApr 2026 · chromewebstore.google.com · ▲5
Webcap is a Chrome extension that lets you capture any web component with one click. Hover over an element, scroll or use arrow keys to traverse the DOM tree, and it captures a pixel perfect screenshot with rounded corners and a drop shadow. Built-in editor lets you pick a background before saving. No dependencies, no tracking, no account needed. Plain JS/CSS/HTML.



More dev tools this month
the category →



Open-source GTM skills for technical founders
Dev tools · 29d ago · gtmcofounder.com

OpenTrailPaper is open-source bike computer firmware for the LilyGO T5S3 4.7" E-Paper PRO. It supports offline maps, GPX routes, FIT recording and Bluetooth sensors.
Dev tools · 2d ago · opentrailpaper.com

Launched alongside, August 2026
the whole month →- TL
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