Track 09

Your Own Idea

No menu. No template. The thing you've been daydreaming about.

✅ Drop-in friendly2-hour jamShips in 45 min

💡

Open the Codelab ↗Starter repo Demo video Share your build →

The demo

What it looks like when it’s working

Demo video goes here

Demo of Your Own Idea

Drop the 11-char YouTube ID into youtubeId on this track in lib/tracks.ts.

In the room · 45 minutes

What you’ll build

Bring an idea you've been sitting on — write a 1-paragraph PRD, hand it to Antigravity, and ship a working slice in 45 minutes. No starter repo. No menu. Just your spec and your taste.

The moment it clicks

“I built the thing that was only in my head.”

Things to think about

While you build

One paragraph of PRD beats a backlog. If you can't describe it in three sentences, you can't ship it in 45 minutes.
Pick the smallest version of the idea that's still recognizable — one core flow, one screen, no settings.
Your signature detail matters more here than anywhere else. There's no demo to copy from, so the soul has to come from you.
Stuck on prompting? Steal from the other tracks — image gen, RAG, persona design, agent loops are all fair game.

The 2-hour Jam rhythm

How the night flows

Every Coding Jam follows the same five-phase shape. Talking is short, building is long.

0:00 – 0:05
Intro
Welcome, name tags, snacks within reach. The facilitator sets the tone: low pressure, high creativity, ship something messy.
0:05 – 0:15
The Demo
Facilitator demos the polished version of tonight's project. Live or pre-recorded. The message: this is what's possible.
0:15 – 0:25
Spec Talk
Walk the 5 questions on the projector. The output is a one-page PRD that Antigravity will turn into UI + engineering docs.
0:25 – 1:30
Build (codelab)
Participants run the codelab. Antigravity writes the code; they direct it. Six phases inside this hour: Setup → Plan → Review → Build → API → Verify. Fix the doc, not the code.
1:30 – 2:00
Sharing
Three volunteer screen-shares. Celebrate the messy, brilliant, half-finished prototypes. Quick wrap-up. Tease the next jam.

Polished version pulls in

Where to take it after the jam

The 45-minute build is the win in the room. These are the ideas you can pull in over the next week — your homework isn’t homework, it’s the polished version.

Whatever the at-home version of your idea looks like.
Steal patterns from tracks 1-8 — they're reference implementations now.
Polish pass: empty states, error states, the one delightful detail.

From the community

Builds shipped from this track

All builds from this track →

Track 09Michigan, USA

APO-HAL-EMS

Oley M

APO-HAL-EMS (Agnotic Policy Optimizer / Hardware Abstraction Layer For Energy Management Systems) is an architectural framework and universal governance layer designed for critical infrastructure control systems and energy management systems. It provides deterministic validation of automated, AI-driven, and human operator decisions before actions are committed to physical hardware or control networks.

“I thought I'd have to do more work by constantly correcting and re-checking that my prompts were being followed with accuracy throughout the build. Gemini was pretty solid and made the process so much smoother, creating much less work for me due to high precision and follow-through.”

Live demo ↗

Repo Video

Track 09GDG Brooklyn

SensePath

Vaibhav Chaudhari

SensePath is a voice-first accessibility assistant designed for blind and low-vision users. It combines Gemini Live, multimodal vision, and Google Maps Platform to help people navigate the last few meters of a journey—finding entrances, benches, elevators, and understanding their surroundings through natural conversation. The standout feature is its ability to seamlessly switch between navigation, object finding, and immersive scene descriptions while keeping the interaction hands-free and acces

“We expected navigation to be the hardest problem, but the real challenge was making AI know when not to speak. Designing an assistant that gives timely, concise guidance without overwhelming or distracting the user turned out to be just as important as the underlying AI itself.”

Live demo ↗

Repo Video

Track 09GDG Brooklyn

HarmonicBlend

Durjoy Sen

HarmonicBlend is an AI-powered, browser-based DJ and stem mashup workstation that allows users to search any song on YouTube Music and turn it into a professional-grade remix in real time. The platform features dual interactive vinyl turntables, scrubbable waveform timelines, 3-band EQs, lowpass/highpass filter sweeps, crossfader controls, and an offline WAV exporter that lets users render and download their completed mixes directly to disk, as well as using Facebook's Demucs ML to create stems.

“Using Gemini within Google Antigravity to build this project was a leap in autonomous, agentic software engineering. Its crazy how Antigravity reasoned across full-stack boundaries, making Python Flask backends, setting up PyTorch ML pipelines, and coding complex Web Audio API DSP frontend engines, something I would need months of training and understanding to build.”

Live demo ↗

Repo

Track 09GDG Brooklyn

Stryker

Abdul Q

tracks body movement and converts to in-game punches, sends attacks to the firebase from two simultaneous users

“need to use credits better”

Live demo ↗

Repo

Track 09GDG Brooklyn

Drop

Sofia Lin

Drop is a mobile-first web app that turns New York City into a live board game where physical items like disposable cameras and toys drift from stranger to stranger. Built for urban explorers and romantic wanderers, the app lets you drop and pick up items and monitor a drop's entire journey across the city while staying completely anonymous.

“Google AI Studio is a surprisingly friendly entry point for non-developers, proving that you don’t need a traditional coding background to bring a complex spatial and interactive idea to life.”

Repo