Lada Koicheva@lada_koicheva448

Spoon is an AI-assisted food discovery prototype designed for coworking spaces and their communities. It explores how a simple food-ordering experience can help people find meal options without browsing through long menus. Users describe what they are craving in natural language, and Spoon searches for matching dishes. The application can use language models to interpret requests and generate menu suggestions, with a local fallback when external services are unavailable. Users can select multiple dishes and combine them into one demo order. For coworking spaces, Spoon provides a foundation for a more convenient shared food-ordering workflow. A manager or community member can explore options and assemble a combined order. This could eventually help teams coordinate meals while accommodating different preferences. The current version is a prototype: payments, delivery tracking, and checkout are simulated. It does not yet place real orders with restaurants or manage coworking budgets. Our goal is to develop the experience into a practical tool for coordinating food purchases in shared workplaces.

🌎 Hybrid Hackathon | 💻 Online Build: 3–8 November 2026 | On-site Phase: 8 November 2026 📍 On-site Venue: Pierpont Place 163 W Pierpont Ave, Salt Lake City, UT 84101, USA ✨ Please note that travel and accommodation are not covered.