Hacker ApprovedDepartments

DataCenter.FM

Ranked 3 of 3 background noise apps by recommenders

An artsy, narrative background noise app built on data-center hum that people find motivating and nostalgic. The most common caveat is that it seems to auto-stabilize too easily.

An artsy, narrative background noise app built on data-center hum that people find motivating and nostalgic. The most common caveat is that it seems to auto-stabilize too easily.

8 people gave an opinion

recommend it
7
criticize it
1
approval share
88%
Each figure is one person. RecommendsCriticizes

Recommended in 1 of 13 months

  1. November 2025: not recommended
  2. December 2025: not recommended
  3. January 2026: not recommended
  4. February 2026: not recommended
  5. March 2026: not recommended
  6. April 2026: recommended
  7. May 2026: not recommended
  8. June 2026: not recommended
  9. July 2026: not recommended
  10. August 2026: not recommended
  11. September 2026: not recommended
  12. October 2026: not recommended
  13. November 2026: not recommended (month in progress)

Why it doesn’t carry the badge

  • 7 people recommend itNeeds 10 or more, not met.
  • 7 recommenders for every criticNeeds 2 to 1 or better, met.
  • Recommended in 1 of 13 monthsNeeds 4 or more, not met.

The same three rules apply to every product, and the badge can’t be bought. How the badge works

What people say about it

The reasons people give, with the number of comments that give each one. Open a reason to read what they said.

Why people recommend it

Each mark is one comment

  • Overall atmosphere praised as great

    “Everything other than “staffing” is amazing. “Staffing” needs to be more sentient.”

    Comment from 30 Apr 2026 in “DataCenter.FM – background noise app featuring the sound of the AI bubble”

    “Bubble or not, this is great!”

    Comment from 30 Apr 2026 in “DataCenter.FM – background noise app featuring the sound of the AI bubble”

What people warn about

Each mark is one comment

  • Auto-stabilizes too easily

    “seems to auto-stabilize too easily”

    Comment from 30 Apr 2026 in “DataCenter.FM – background noise app featuring the sound of the AI bubble”
  • Staffing element needs more sentience

    “Everything other than “staffing” is amazing. “Staffing” needs to be more sentient.”

    Comment from 30 Apr 2026 in “DataCenter.FM – background noise app featuring the sound of the AI bubble”

Other background noise apps people recommend

The two most recommended other background noise apps, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.

DataCenter.FM compared with 2 alternatives
ProductRecommendCriticizeApprovalMonthsOwnedBadge
Lofi Cities221559%2——
Yamanote.fun22292%1——
DataCenter.FMThis page7188%1——
See all 3 background noise apps, ranked

What people said

6 of the 8 comments that mention it, newest first. Each links to the original comment.

“Artsy, poignant, narrative. It reminds me of the fun internet, like in 2001.”

RecommendsComment from 30 Apr 2026 in “DataCenter.FM – background noise app featuring the sound of the AI bubble”

“Something about the hum of servers is oddly motivating”

RecommendsComment from 30 Apr 2026 in “DataCenter.FM – background noise app featuring the sound of the AI bubble”

“the sounds are entirely fake and not related to actual DC”

CriticizesComment from 30 Apr 2026 in “DataCenter.FM – background noise app featuring the sound of the AI bubble”

“seems to auto-stabilize too easily”

MixedComment from 30 Apr 2026 in “DataCenter.FM – background noise app featuring the sound of the AI bubble”

“Everything other than “staffing” is amazing. “Staffing” needs to be more sentient.”

MixedComment from 30 Apr 2026 in “DataCenter.FM – background noise app featuring the sound of the AI bubble”

“Bubble or not, this is great!”

RecommendsComment from 30 Apr 2026 in “DataCenter.FM – background noise app featuring the sound of the AI bubble”

Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.