Ginja
AI productivity app for work, wellness, and your people.
What it does
Ginja is your calm productivity space that turns mental clutter into clear, actionable to-dos. Just brain dump what’s on your mind, and Ginja organizes it for you. Plan your days, track your progress, and stay consistent with smart nudges all while collaborating with friends and your Circle through shared plans. Most productivity tools are built for your job; Ginja is built for you.
Does the same job
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- EPEmery – Personal productivity workspace2022 · emery.to · ▲261
We're building an app that helps people manage their schedule, tasks and notes all in one place. The goal is to create a workspace, where people can manage their various priorities, both personal and professional, see a single schedule combined of all their calendars and manage their days without switching between multiple apps. At the moment we've implemented Google calendar synchronisation, basic tasks and notes. Also Emery has some things we really wanted to see in other apps – private notes for meetings, categories that can be used to group tasks/notes/meetings together, weekly…
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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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Launched alongside, March 2026
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Switch from ChatGPT to Claude with import memory feature
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