Piny – Astro, React and Next Visual Editor for VSCode, Cursor, Windsurf
Hi, Matjaz here. Piny is a visual editor that runs directly in Visual Studio Code, Cursor and Windsurf. It supports Tailwind CSS, Astro, React and Next.js. All edits happen directly in the code, so there are no abstractions, no cloud services and no lock-in. Piny doesn’t try to be all-in-one visual editor that would cover layout creation, styling, data, logic… That is no longer relevant in the age of AI coding agents. Instead, Piny focuses on two areas where it can really add value: # Tailwind styling Piny lets you easily style JSX / HTML with Visual Controls and Class Inspector (an…
What it does
In the maker’s words, at launch
Hi, Matjaz here. Piny is a visual editor that runs directly in Visual Studio Code, Cursor and Windsurf. It supports Tailwind CSS, Astro, React and Next.js. All edits happen directly in the code, so there are no abstractions, no cloud services and no lock-in. Piny doesn’t try to be all-in-one visual editor that would cover layout creation, styling, data, logic… That is no longer relevant in the age of AI coding agents. Instead, Piny focuses on two areas where it can really add value: # Tailwind styling Piny lets you easily style JSX / HTML with Visual Controls and Class Inspector (an editable tree view of all classes and states). This also works with any strings that contain Tailwind classes. For visual tasks (such as changing the text size) it is often much easier to directly change a visual property than to go back and forth about it with your AI agent. # Project navigation Navigate the project code by selecting elements directly in the built-in browser preview. Just click on a heading, image, icon, section etc in the preview and its source element is selected in Piny and in the code. This feature requires a small dev-only script to be inserted into the layout. React with Vite, any Next.js and Astro projects are supported at this time. Piny is based on Pinegrow Web Editor, our desktop visual editor for static HTML & WordPress that we’ve been actively developing for more than a decade. This makes Piny feature complete and robust, it’s not a MVP. # Piny Free and Pro The standard edition is completely free. You don’t even have to sign up. Just install it from the extension marketplace and you’re ready to go. Piny Pro adds Visual select (Project navigation, mentioned above), custom Tailwind theme import and other goodies. We’re running an Early Access deal with 60% discount that you get to keep forever. # Visual tools in the age of AI A lot has changed in web development. When Pinegrow was launched here on HN 11 years ago, Bootstrap was a shiny new framework. Today, visual tools should be designed to complement AI assisted development. This principle is reflected in Piny: - It runs in your IDE, where you already work - All changes happen in the code - Uses visual tools for visual tasks - Helps you jump to the relevant component / element in the code so that you can then edit it visually, in code or with AI - Piny is there when you need it and gets out of your way when you don’t # Getting started To take Piny for a spin, install it from extension marketplace, right-click anywhere in your code and choose “Edit in Piny”. Pro trial version is included if you want to try Visual select. Let me know if you run into any issues, or just want to get in touch!
Does the same job
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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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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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