Ho

How Loud Is My Hotel?

Hacker News

How Loud Is My Hotel?

Hey HN, I build "How Loud Is My Hotel?" as a simple way to check for possible loud noise near a hotel (or any other address) before booking it. I've had some negative experiences in the past so this automatically checks for things like nearby Clubs, Police Stations with sirens, big roads, railroads etc. and gives you a "noise score" based on them. It's free, works worldwide and needs no account. It estimates outside noise risk rather than measuring decibels, so building insulation and temporary noise aren’t included.

Visit product View on Hacker NewsJun 24, 2026

Actual performance

5points

2comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

28%28% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Hotel reservation system39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hotel reservation system

Indie Hackers1b2c

Easy Hotel.25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

All-in-one hotel reservation solution

Ninexhoomie25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

hotel managmetn software, hotel software,

Indie Hackerscommitment-full-time

OKstays40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI Hotel Search

Indie Hackers1ai

The Hotel Ukraine [pdf]50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Hotel Ukraine [pdf]

SmartDepart – Intelligently Recommends the Perfect Hotel for You45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SmartDepart – Intelligently Recommends the Perfect Hotel for You

Get the real best price for your hotel or get a superior hotel53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Get the real best price for your hotel or get a superior hotel

Hotel Fastpass – Hotel Service Reimagined54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hotel Fastpass – Hotel Service Reimagined

Tired of outrageous hotel charges at WWDC, I created this.38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tired of outrageous hotel charges at WWDC, I created this.

Tired of outrageous hotel charges at WWDC, I created this.38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tired of outrageous hotel charges at WWDC, I created this.

Browse all products Analyze your launch