
Gemini Code Harvester
Extract & download all Gemini AI code blocks in one click
What it does
Stop scrolling through endless Gemini chats hunting for code. Gemini Code Harvester gives you instant navigation between every code block, one - click copy, and a ZIP download of all files at once. Built by a developer who was tired of losing code in long AI conversations. Free, lightweight, no account needed — just install and it works. Perfect for developers using Gemini daily.
Does the same job
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AI Code Harvester for Gemini & ChatGPTApr 2026 · getplugzz.com · ▲1copy & download code blocks, jump between files, export- ZIP
File Generation in GeminiApr 2026 · blog.google · ▲165Generate production-ready files directly in your chat


- YCYou can now run Gemini CLI in the browserApr 2026 · browsercode.io · ▲5
Hello HN, we are thrilled to share with you in preview BrowserCode: A FOSS web app to run TUI agents (such as Claude Code, OpenCode, Gemini CLI and the like) fully in the browser. This first release focuses on Gemini CLI and Claude Code will follow soon. BrowserCode is released under the Apache License, version 2.0. BrowserCode is based on BrowserPod (https://browserpod.io), an in-browser WebAssembly-based code sandboxing technology that can currently run Node.js, python, git, bash and many other command line tools. This will further expand to Ruby / Rails, Go, Rust and…
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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…
AI · 27d ago · cactuscompute.com


Launched alongside, March 2026
the whole month →

Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com


