Elementor JSX
AI agents build real, editable Elementor sites from JSX
What it does
The agent-native build stack for Elementor. AI agents write typed JSX, ship native editable V4 pages over REST, and verify every save. Open source, MIT.
Open-source Elementor MCP toolchain: Claude Code, Cursor, Codex or any MCP agent builds native, editable Elementor pages from typed JSX — with hot reload and automatic checks on every save. Free & MIT.
Build Elementor sites with your own AI agents. Your agent can already write Elementor pages — blind, in thousands of lines of raw JSON. That's why they look agent-built. Ultra gives agents typed components, hot reload, and automatic pass/fail checks on every save. Beautiful pages are what happens when agents can see what they're doing. For developers and agencies who ship client sites on Elementor and build with Claude Code, Cursor, Codex or any MCP agent. Agents welcome — press A for the machine-readable version of this page. Each film is one unedited take — same public copy, same assets as the original site. One prompt from a human, then the agent builds section by section against a live…from exjsx.dev
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Element Node24d ago · elementnode.cloud · ▲2AI agents build your site. Clients edit it like Elementor.
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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.
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