36
BU Score
Emerging
High-Frequency Noise Monitor
✍️ bumetric analysis
“
High-Frequency Noise Monitor is an iOS app from TOON,LLC in the Utilities category, currently rated 3.2★ across 4 ratings. Initial signal reads as no scraped reviews yet: judgment based on metadata only.
Our BU Score puts it at 36: Emerging (early traction worth watching). For a Utilities app, that means early traction worth watching.
Track changes month-over-month in the Performance section below: live snapshot history and revenue forecast included.
📊 Performance Tracking LIVE
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Rating
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Reviews
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Forecast Revenue / mo
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Snapshots tracked
0
since first record
Range:
💰 Forecast Revenue / mo
MODELRevenue forecast computed from BU's 234 trigger model on each snapshot. Calibrated against ground-truth from 58 verified-revenue apps.
🔬Forecast Breakdown — Why This Estimate?Top 5 of 5 triggers
Our ML model uses 200+ signals from public data. These are the most influential for this app:
| Paid app ($0.00)METRIC | +$2,800 | |
| Below-average rating (3.2★)METRIC | −$1,500 | |
| Established app (4y old)METRIC | +$800 | |
| Single-language (English only)METRIC | −$400 | |
| Pre-traction phase (4 ratings)METRIC | −$300 |
METRIC = structural app data · REVIEW = mined from user reviews · ✓ VERIFIED = Stripe-verified anchor (TrustMRR)
📈 Reviews Growth
LIVECumulative review count from first BU snapshot. Each point = a tracked update.
⭐ Rating Trend
LIVEAverage rating evolution. Updates with each new review batch.
🗓️ Snapshot Timeline
HISTORYEach bar shows a tracked update and the metric delta from the previous snapshot.
App Specs
🔐 Own this app? Claim & verify MRR →💾 530 KB🔞 4+📱 iOS 26.2+🔖 v6.0🔄 updated 2mo ago🌐 EN📂 Utilities💰 Paid🚀 Launched 2021 (4y old)
📝 About this app
"High-Frequency Noise Monitor" is a noise analysis tool that specializes in high-frequency bands above 8 kHz.
You may be exposed to artificial high-frequency noise on a daily basis that is inaudible to the human ear. This app allows you to monitor these noises and examine their occurrence.
Generally, noise contains relatively high-frequency components depending on its source, which is classified as high-frequency noise.
For instance, harmonic noise radiates from electronic devices' main bodies or power lines of power conversion devices, such as AC-DC power adapters. Depending on its power level, this noise may affect peripheral devices.
Some devices generate high-frequency noise to drive away vermin, such as rats and weasels. The frequency of the sound varies depending on the type of vermin. Some devices incorporate sensors that change the volume and frequency over time. When such devices are installed nearby, they can sometimes cause noise problems that have adverse effects on human health.
High-frequency noise does not often occur at a constant volume or frequency, but rather in cycles or randomly. Such noise is not easy to detect.
This app collects randomly fluctuating high-frequency noise from the iPhone's built-in microphone and performs a frequency analysis. It also retains PCM data from the 20 seconds just before measurement stop, enabling the display of spectrograms for FFT and octave band analysis. A spectrogram is a graph showing the results of a frequency spectrum analysis, with time on the vertical axis, frequency on the horizontal axis, and signal strength represented by colors. With this app, you can visually monitor the occurrence of high-frequency noise.
Features:
# Main: Real-time frequency analysis function.
- Real-time measurement: Automatically stops after a maximum of approximately 180 seconds.
- Maximum frequency detection and power level display (dB unit in 20 μPa standard)
- Time trace display: approx. 10 seconds
- Display gain adjustment (Range): 3 levels (0dB - 90dB / -10dB - 80dB / -20dB - 70dB)
# Analysis: FFT/octave band spectrogram analysis function (PCM data for 20 seconds immediately before the measurement is stopped is saved, and spectrogram analysis is performed.)
- FFT spectrogram analysis (FFT)
- Octave spectrogram analysis (OCT)
- Display gain switching (Range): 3 levels
- Playback function: approx. 20 seconds.
- Playback sound filter (Filter): 8kHz high-pass filter to cut off low-mid range sound.
# Snapshot (Snap): Save the analysis result as an image file.
Operation Procedure:
1) Sound measurement and real-time frequency analysis (Main)
Tap Start button in Main mode to start measurement. It displays the real-time instantaneous frequency analysis result and the trace of frequency time variation. The frequency and signal level at which the maximum level is detected can be displayed numerically.
2) Spectrogram analysis (Analysis)
After measurement in Main mode, tap the Analysis button to perform spectrogram analysis. Tap FFT or OCT button to display the spectrogram by FFT or octave band analysis.
Notes:
- The measurement of high frequency sounds depends on the sensitivity characteristics of the built-in microphone, so it may vary depending on the iPhone model.
- Wireless (Bluetooth) headphones and headset are not supported.
- At the time of the first access to Microphone and Photos after installing the app, you will be asked authorization to access them by the iOS system. If you have not enabled this setting, the app cannot access them by privacy restrictions of the iOS system. Please enable the access permission on the iOS setting, "Settings > Privacy & Security > Photos or Microphone".
Please visit our iOS app support page for more information on this app.
You may be exposed to artificial high-frequency noise on a daily basis that is inaudible to the human ear. This app allows you to monitor these noises and examine their occurrence.
Generally, noise contains relatively high-frequency components depending on its source, which is classified as high-frequency noise.
For instance, harmonic noise radiates from electronic devices' main bodies or power lines of power conversion devices, such as AC-DC power adapters. Depending on its power level, this noise may affect peripheral devices.
Some devices generate high-frequency noise to drive away vermin, such as rats and weasels. The frequency of the sound varies depending on the type of vermin. Some devices incorporate sensors that change the volume and frequency over time. When such devices are installed nearby, they can sometimes cause noise problems that have adverse effects on human health.
High-frequency noise does not often occur at a constant volume or frequency, but rather in cycles or randomly. Such noise is not easy to detect.
This app collects randomly fluctuating high-frequency noise from the iPhone's built-in microphone and performs a frequency analysis. It also retains PCM data from the 20 seconds just before measurement stop, enabling the display of spectrograms for FFT and octave band analysis. A spectrogram is a graph showing the results of a frequency spectrum analysis, with time on the vertical axis, frequency on the horizontal axis, and signal strength represented by colors. With this app, you can visually monitor the occurrence of high-frequency noise.
Features:
# Main: Real-time frequency analysis function.
- Real-time measurement: Automatically stops after a maximum of approximately 180 seconds.
- Maximum frequency detection and power level display (dB unit in 20 μPa standard)
- Time trace display: approx. 10 seconds
- Display gain adjustment (Range): 3 levels (0dB - 90dB / -10dB - 80dB / -20dB - 70dB)
# Analysis: FFT/octave band spectrogram analysis function (PCM data for 20 seconds immediately before the measurement is stopped is saved, and spectrogram analysis is performed.)
- FFT spectrogram analysis (FFT)
- Octave spectrogram analysis (OCT)
- Display gain switching (Range): 3 levels
- Playback function: approx. 20 seconds.
- Playback sound filter (Filter): 8kHz high-pass filter to cut off low-mid range sound.
# Snapshot (Snap): Save the analysis result as an image file.
Operation Procedure:
1) Sound measurement and real-time frequency analysis (Main)
Tap Start button in Main mode to start measurement. It displays the real-time instantaneous frequency analysis result and the trace of frequency time variation. The frequency and signal level at which the maximum level is detected can be displayed numerically.
2) Spectrogram analysis (Analysis)
After measurement in Main mode, tap the Analysis button to perform spectrogram analysis. Tap FFT or OCT button to display the spectrogram by FFT or octave band analysis.
Notes:
- The measurement of high frequency sounds depends on the sensitivity characteristics of the built-in microphone, so it may vary depending on the iPhone model.
- Wireless (Bluetooth) headphones and headset are not supported.
- At the time of the first access to Microphone and Photos after installing the app, you will be asked authorization to access them by the iOS system. If you have not enabled this setting, the app cannot access them by privacy restrictions of the iOS system. Please enable the access permission on the iOS setting, "Settings > Privacy & Security > Photos or Microphone".
Please visit our iOS app support page for more information on this app.
🆕 What's New · v6.0
- Improved internal processing and performance.
- Requires iOS 26.2 or later.
- Requires iOS 26.2 or later.
Profile & Insights
Everything we know — and don't — about this app and its company.
Identification
- App name
- High-Frequency Noise Monitor
- Developer
- TOON,LLC
- Bundle ID
- com.toon-llc.HFNMonitor
- App Store URL
- Open in App Store
- Category
- Utilities
- Content rating
- 4+
- Languages
- EN
Company
- Website
- toon-llc.com
- Tagline
- Not found
- Description
- Not found
- Founded
- Not found
- HQ / Address
- Not found
- Employees
- Not found
- Logo
- Not found
Revenue
- Verified revenue / mo
- Not found
- AI revenue estimate / mo
- Not found
- AI annual estimate
- Not found
- ML model estimate / mo
- $86/mo
- Top-grossing rank
- Outside top 100 in US Utilities
- All-time revenue
- Not found
- Pricing
- Not found
Founder
- Name
- Not found
- X / Twitter
- Not found
- Not found
- GitHub
- Not found
- X followers
- Not found
- Public statements
- Not found
Funding
- Total raised
- Not found
- Last round
- Not found
- Investors
- Not found
- Crunchbase
- Not found
- AngelList
- Not found
Press & Links
- Articles found
- Not found
- Listed on
- Not found
- Blog
- Not found
- Press / News
- Not found
Contacts & Socials
- Socials
- Not found
- Not found
- Phone
- Not found
- Contact page
- Not found
- About page
- Not found
📈Ratings growth4 ratings+100% lifetimeShow 3-year history estimate ▾
Tracked (1 weeks) Pre-tracking estimate (37 weeks) · model-based, ±5% noise · anchored to release date and current value
🌍Geographic ReachNot ranked
This app is currently outside the top 100 grossing in all 9 countries we monitor (US, UK, DE, FR, JP, CA, AU, BR, IN). Niche or new apps often launch this way — popularity rankings appear once daily revenue clears the regional threshold.
Profile is built from iTunes Lookup + developer site scrape + ML revenue model. Empty fields show "Not found" — additional sources (Crunchbase, X, IndieHackers, Acquire.com) coming.
Full revenue analysis
Read the article-style breakdown for High-Frequency Noise Monitor: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.
