Noon

Noon is the calendar you never have to touch. It understands what you mean when you speak. No app to open, no coordination overhead. Scheduling, solved.

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Inspiration

Calendars take too much time. We waste attention on scheduling instead of doing things. We wanted a simple voice shortcut that hears what you want and gets it on your calendar.

What it does

  • Listens to your voice and turns it into text
  • Understands the intent and produces concrete Google Calendar operations
  • Executes create, update, delete, list, and get on your calendar
  • Confirms the result in a clean, fast flow

How we built it

iOS app (Swift/SwiftUI)

  • Press and hold recording using AVFoundation
  • Simple networking with URLSession for auth, linking, and calendar actions Voice to text
  • FastAPI microservice with Deepgram (Nova-3)
  • REST endpoint for prerecorded audio and a WebSocket for streaming partials Intent to plan
  • FastAPI service that uses OpenAI structured outputs with strict Pydantic models
  • Returns an ordered plan of Google Calendar operations with validated args
  • Rule-based fallback for common queries if the model is unavailable Backend and linking
  • FastAPI backend with Supabase for phone OTP auth and user profiles
  • Google OAuth using state tokens, code exchange, and profile fetch
  • Syncs Google calendars into Supabase for the user Calendar execution
  • Google Calendar API wrapper for CRUD and listing with clear responses

Challenges we ran into

  • Ambiguity: when to act immediately and when to ask the user for more context/permission
  • LangGraph to structured outputs: we started with graphs, then moved planning to a typed structured layer for speed/ease of implementation
  • OAuth: state, expiry, refresh, and real callback flows
  • Latency: audio to text to plan to Google in one fast loop

Accomplishments that we're proud of

  • No heavy calendar UI required
  • Feels fast because transcripts stream and confirmations are quick
  • Frontend looks beautiful

What we learned

  • Nail single player before multi user
  • Typed structured outputs make agent behavior reliable and testable
  • Streaming partial outputs changes how fast the system feels

What's next for Noon

  • Multi user scheduling: “Find time with Sarah next week” and let agents negotiate between themselves
  • Proactive time management: protect focus time and rebalance crowded days

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