App database

World Sounds: detector

Carlos Obando

Store data observed · From public App Store data · How we score apps

  • Productivity
  • App Store
  • United States
  • —0 ratings
  • Paid $2.99
  • Updated
  • Observed

Ratings

Observed
0

Chart position

Observed
—Not on the top charts

90-day growth

—not enough history yet

Opportunity score

AI-derived
7/100Weak · low confidence
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About World Sounds: detectorObserved

World Sounds: detector is a Productivity app by Carlos Obando on the United States App Store. Released Nov 15, 2022; last updated Sep 15, 2026 (version 1.6.9). World Sounds: detector costs $2.99 to download.

MRRBeam rates the success of World Sounds: detector 0/100 (early stage).

Welcome to WorldSounds, this app works with Artificial Intelligence to identify over 300 different types of sounds. When your iPhone detects any sounds selected it will activate a haptic alert, sound alert and push notifications in background.
From the App Store listing
Success score
0/100 Early stage
In Productivity
Outside the top 100
Chart position
Not on the top charts
Developer
Carlos Obando
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World Sounds: detector: common questions

What is World Sounds: detector?
World Sounds: detector is a Productivity app developed by Carlos Obando, available on the App Store. It was first released on Nov 15, 2022.
How much does World Sounds: detector cost?
World Sounds: detector costs $2.99 to download.
Is World Sounds: detector successful?
MRRBeam rates the success of World Sounds: detector 0/100 (early stage). The success score combines rating volume, chart position and average rating.
When was World Sounds: detector last updated?
World Sounds: detector was last updated on Sep 15, 2026 (version 1.6.9).
What are alternatives to World Sounds: detector?
Similar Productivity apps tracked by MRRBeam include ChatGPT, Muse from Meta, Google Gemini, Gmail - Email by Google and Grok AI.
Is there room to build a competitor to World Sounds: detector?
MRRBeam's opportunity score for World Sounds: detector is 7/100. Limited opening: an older app, little observable demand and low price points.