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Emoji Scavenger Hunt with Google

Emoji Scavenger Hunt with Google

Use Google's neural networks to guess emojis IRL 🔍 — Locate the emoji we show you in the real world with your phone’s camera

AI Tools·Launched Mar 2018·0 upvotes·thinkwithgoogle.com
Upvote0Visit Website
REDIRECTED → business.google.comsince Jun 11, 2026 · HTTP 200
CohortClass of 2018

What it is

Use Google's neural networks to guess emojis IRL 🔍 — Locate the emoji we show you in the real world with your phone’s camera. A neural network will try to guess what it’s seeing. An A.I. experiment by Google, also an excellent demo of JavaScript tensor flow! [Funny, Emoji, Artificial Intelligence]

HTTP liveness

15 probes since Jun 11
Jun 11Jul 13
AliveHard-dead (404/5xx/parked)RedirectedUnverified (timeout/DNS/block)

Observed events

probes · press · GitHub
  1. Jun 11, 2026
    First probe — redirected
    Redirected offsite

Funding history

1 round
Total raised
$85.0B
Latest valuation
Stage
growth
Growth
Jun 2026
investors undisclosed
$85.0B
Data from SEC EDGAR Form D filings and press coverage. Round labels for SEC filings are inferred from filing sequence and amount.

Moat

Data moat
moderate

The Emoji Scavenger Hunt uses a neural network and machine learning which allows the game to intelligently recognize real-world objects without storing images, showcasing the potential of Google's data handling in AI tools. However, the experiment's reliance on local device processing limits its broad application in varying contexts, which contributes to a moderate moat.

  • webThe game uses machine learning that relies on local processing of images from the user's camera. source
  • webNo images from your camera are collected or stored, ensuring user privacy. source
  • webPowered by Tensorflow.js, the game demonstrates advanced technology for real-time object recognition. source
  • webIt involves a neural network trying to guess what it's seeing, emphasizing the data-driven learning capability of the AI. source
moderate · 0.65 confidence · grounded in 4 sources
Website-grounded · Jun 2026

Discussion 0 comments

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Pulse Indexobserved activity
15 probes0 pressGitHub –Tranco –

Not enough observed signals for a Pulse Index (needs 2+ signal families).

Cohort survival · Class of 2018weekly

2,435 products launched in 2018 · 100% still active

2,425 active10 sunset
Still active
100%
Median lifespan
4.9y