Shuffle Music Alarm Clock

Shuffle Music Alarm Clock
Shuffle Music Alarm Clock
Developer: yousetsu
Category: Lifestyle
1.2K installs
23 ratings
80 monthly active users
$<10K monthly revenue est.
IAP 0% · Ad 100%
Install Trends
Weekly +15
Steady
Monthly +66
Steady

Shuffle Music Alarm Clock Summary

Shuffle Music Alarm Clock is a ad-supported Android app in Lifestyle by yousetsu. Released in Aug 2023 (2 years ago). It has about 1.2K+ installs and 23 ratings with a 3.20★ (mixed) average. Based on AppGoblin estimates, it reaches roughly 80 monthly active users and generates around $<10K monthly revenue (0% IAP / 100% ads). Store metadata: updated May 6, 2026.

Recent activity: 15 installs this week (66 over 4 weeks) showing below average growth View trends →

Store info: Last updated on Google Play on May 6, 2026 .


3.2★

Ratings: 23

5★
4★
3★
2★
1★

Screenshots

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App screenshot
App screenshot
App screenshot

App Description

Wake up alarm that plays your favorite music randomly

I can't narrow down my favorite music to one song
I get bored when the same song plays every time

With this app, the alarm sounds randomly every day from the music registered in the playlist.

"Ah! This is the song for today!" and "Hmm, this song in the morning (sweat)"
By waking up with such a surprise, you will feel a pleasant refreshment.
Please try once!

【Major features】

· Randomly sound the alarm every day from the music registered in the playlist
・Supported file formats: mp3, WAV, m4a
 ・ Operation confirmed environment: Google Pixel 6 (Android 13), Google Pixel 4a (Android 13), HUAWEI P20 lite

[Required permissions]

・ Notification authority
・Alarms & Reminders (Android 12 or later)
・ File access permissions (to specify favorite music files)

[Notes]

・When using the alarm, please keep the smartphone charging cable connected.
  The alarm may not sound correctly if the charging cable is disconnected.



We are currently conducting a full review and investigation of this issue.
[About review]
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We are working on fixing bugs and improving features based on customer feedback.

"If this app could improve ◯◯ a little more, it would be highly rated..."
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