Superpower for Gemini
Folders, queue, and prompt library for Google Gemini
What it does
Gemini has no folders. Your sidebar is 50 untitled chats, and last week's work is gone. Superpower for Gemini adds folders, a prompt library, prompt chains, bulk export, a usage tracker, queue that sends your next message while Gemini is still typing and more. 30+ features. Everything runs on your device. Yes, it adds buttons to Google's clean UI. Every one has an off switch. 11,000+ users. 4.6 stars. Featured on the Chrome Web Store. Built by one person.
Superpower for Gemini adds folders, prompt library, chat export, AI optimizer, keyboard shortcuts, and 30+ more features to Google Gemini.
Folders, Prompt Library, Chat Export, AI Optimizer, Keyboard Shortcuts, and 30+ more features. All running locally in your browser. No folders, no organization. Great conversations disappear into a flat endless list. Retype your best prompts every single time. No library, no templates, no shortcuts. Can't export chats to PDF, Word, or text. Your conversations are trapped inside Gemini. No word or character counter. No idea how long your prompts are or how often you use Gemini. No keyboard shortcuts. Every action requires navigating menus with the mouse. No AI optimization, no automation, no prompt chains. Just you typing from scratch. Organize chats into folders and subfolders, with trash…from superpowerforai.com
Does the same job
all alternatives →
More ai this month
the category →
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 · 16d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
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 · 26d ago · cactuscompute.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 · 16d ago · simedw.com