iOS Grocery List App Powered by Whisper and GPT4
Hey, I'm an iOS engineer who took on the seemingly mad task of creating a new grocery app in this day and age. Yes, there are plenty out there, but I promise there's a method to my madness. It's born out of a personal need – my wife would rattle off a list of things to buy, and I'd struggle to remember them all. She's not a fan of typing into apps or shared notes, and honestly, neither am I when it's about speed. The epiphany was that all existing grocery apps have an input problem. They're not catering to the way real people communicate about errands. So, I built HoneyDo to solve my own…
What it does
In the maker’s words, at launch
Hey, I'm an iOS engineer who took on the seemingly mad task of creating a new grocery app in this day and age. Yes, there are plenty out there, but I promise there's a method to my madness. It's born out of a personal need – my wife would rattle off a list of things to buy, and I'd struggle to remember them all. She's not a fan of typing into apps or shared notes, and honestly, neither am I when it's about speed. The epiphany was that all existing grocery apps have an input problem. They're not catering to the way real people communicate about errands. So, I built HoneyDo to solve my own problem, which I suspect might be yours too. Here's how it works: You or your partner can tell HoneyDo what to buy in a natural, conversational manner. "We need eggs, milk, and don't forget the chocolate cake that's near the entrance." Whisper and GPT4 processes this and voila, a neatly organized list appears on both your phones (synced via iCloud). Technically speaking, I've crafted a full-stack solution with Swift (it's a native iOS app), and a Node.js-powered backend on AWS Lambda, DynamoDB, and OpenAI's API. I'd love to get feedback. Whether it's about the UI/UX, the technical stack, or how the app performs in real-life scenarios, I'm all ears. I'm here to learn and improve, so please, be brutally honest.
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