What is Arya
Arya is a grocery app that learns how you shop from your receipts and helps shoppers help each other. It puts the whole grocery chore in one place: shared lists, a guided route through the store, a clear view of your spend and usage, and out-of-stock warnings from other shoppers.
Groceries are an integral part of our lives. Hunters and gatherers did it to survive. Think about what it takes today.
You have many lists in your notes. Your partner adds items over text while they are shopping at a different store. So both of you bought yogurt, and neither bought the toilet paper that ran out. Oh, and the store shelf for the milk your kids need is empty. The receipts end up in the trash, so you never see how the money was spent, or that the same item was cheaper at another store. That cheese you bought a few weeks ago went bad before anyone used it.
You hold all of it in your head, and it's still never quite right.
I built Arya for this hackathon to manage groceries in one place: shared lists, guided store routes, spend and usage insights, and community powered alerts. The idea is simple. When shoppers share what they learn, where items are located, what's cheaper, what's out of stock, every trip gets a little easier.
Arya is not just a chatbot on a grocery list. Using Muse Wonder, I created Arya's learning engine to understand my household usage from my Costco receipts. Arya showed me patterns in my shopping. Arya also drafts my next list based on what we use.
I add items by typing, speaking, or taking a photo of a handwritten list. And Arya makes the chore more fun with Quest mode, which turns shopping into a game.
Before heading out for my quest, Arya warns me if an item from my list is out of stock. In the store, it guides me aisle by aisle. If I need help spotting an item, I point the camera at a shelf: SAM finds the item, Spark points me to it, and I move forward with my quest. If an item is out of stock, I tap Not here, and the next shopper knows.
At checkout I snap the receipt. Spark reads it, and if needed, Muse Wonder takes a second look. And the learning engine improves with every trip.
Back home, Arya tells me if something from my previous trips is about to go bad. And when I use up an item, I just tell Arya we're out, and it's on the list automagically.
Arya is soft launched. The demo is open to everyone, but accounts are invite-only for beta testers. I also integrated the Meta Muse AI agent over MCP to talk to Arya. A developer portal is live for API integrations.
During the hackathon, I built the first step. Arya gets wiser with every shared list, every receipt, every "Not here" tap.
Humans helping humans.
This is Arya.
Built for the Meta Global AI Developer Hackathon 2026 (Team Nightshift, Indie track).
Today and Lists in the demo household.
What is real, and what is not?
| Real | Simulated |
|---|---|
| The live app. Receipts read by Meta models and checked in code. The Lists API and the Muse connector. | The demo household and Demo Town: invented stores and receipts, labelled as simulated. The demo reads a receipt live but keeps nothing. |
Size and other limits: Known limits.