Inspiration

We spend all day in front of a screen, and our digital tools are cold. The ones that do talk back make you type. We wanted a sidekick that feels like having a pet around: one that lives on your screen, looks like your animal, and gets things done when you ask out loud. "Digital Side-kick" made us ask what it would mean for the sidekick to be a companion first and a tool second.

What it does

Whisker Flow turns one photo of your pet into a 3D sidekick that lives on your screen.

  • Onboarding: name your pet, choose dog or cat, drop in a photo, and watch it get built.
  • A pet that looks like yours: its coat colors come from your photo.
  • Always there: it sits in a transparent window above your Dock, breathing, blinking and wagging its tail.
  • Tap to talk: tapping it makes it greet you out loud in a speech bubble ("Hey! I'm Biscuit. How may I help you?") and opens commands: sit, jump, speak.
  • Remembers you: your pet is saved, so it is there next time you open the app.

In progress:

  • Voice requests you hold a button to speak.
  • An AI agent that turns a spoken request into a real browser task and narrates what it's doing.
  • Awareness of which apps you have open.
  • Playing with a ball.

How we built it

  • Electron + TypeScript + Vite: a frameless, transparent, always-on-top window pinned above the Dock, plus an onboarding window.
  • Three.js: the pet is built from code (spheres, capsules and cones) in dog and cat templates that are tinted and animated, with no downloaded 3D models.
  • Canvas color reading: a center crop of the photo is sampled to pick the coat, highlight and eye colors.
  • Web Speech API: the pet's greeting voice.
  • Planned: Gemini to read pet photos and route voice requests, ElevenLabs for the pet's voice, and Puppeteer for browser tasks.

Challenges

  • Making a transparent desktop window that feels like a pet rather than a widget.
  • Getting a procedural pet to read as cute (proportions, blink timing, head motion) without any art assets.
  • Staying realistic about scope within a one-day hackathon.

What we learned

Small details such as a blink, a tail wag or a greeting in a friendly voice do more for a companion than raw features. We also learned how much Electron does for a desktop app with very little code.

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