ChiveMind
Shared Recipes & Meal Planner
What it does
ChiveMind is a native iPhone recipe app with a clean design that feels right at home in the Apple ecosystem and makes saving and using your favorite recipes effortless. With iCloud sync and powerful import tools, you can bring in recipes from just about anywhere, including reliable imports from social media.
ChiveMind is a shared recipe manager and meal planner for iPhone. Import recipes from any link or photo, share your library with family, plan the week with an automatic grocery list.
Share recipes directly from social media or the web. You can also scan recipes, import via photos, and more. Share your library with your family, so everyone can cook, meal plan, and shop together. Get meal suggestions from your library, plan out your week, and fill out your grocery list all in one place. Keep multiple recipes handy, set timers, and use voice commands to move through steps or ask cooking questions while your hands arefrom chivemind.com
Does the same job
all alternatives →
More work this month
the category →
The app store for voice native apps that lives in your notch
Work · 28d ago · voiceos.com
The New Calendly▲211Handle all of the work before, during, and after meetings
Work · 17d ago · calendly.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