App Overview

High-Frequency Noise Monitor icon

High-Frequency Noise Monitor

TOON,LLC · Utilities

"High-Frequency Noise Monitor" is a noise analysis tool that specializes in high-frequency bands above 8 kHz.

$5.99 · In-app purchases

PRICE
$5.99
In-app purchases
BUSINESS MODEL
Paid
No overall Grossing estimate available
RATING
3.2
4 ratings · Below Average

Evidence scope: No current overall US chart position is available. Category-chart positions shown in discovery are a separate scope. Revenue is a directional model estimate, not verified earnings.

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What's included17 files

A product spec, phased build plan, differentiation notes, and screen references.

  • START_HERE
  • AGENTS
  • EVIDENCE
  • SPEC
  • BUILD_PLAN
  • DIFFERENTIATION
  • skills/
  • screens/
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Illustrative example: an invoice app for independent contractors. Your kit is tailored to the app you choose; this is not its generated content.

Feature spec

Goal: Send a clear invoice after finishing a job.

  • Add a client, line items, a due date, and payment instructions.
  • Preview the total before exporting a PDF.
  • Keep an editable draft if export fails.

Screen plan

Invoice editor: Client at the top, editable line items in the middle, total and preview action at the bottom.

States: Empty draft, validation errors beside each field, exporting, and a retry action that preserves the draft.

Differentiate and validate

Hypothesis: Contractors need faster repeat invoices more than more templates.

First experiment: Test duplicating a previous job with five contractors. Watch where they hesitate before expanding the feature set.

The full kit adds a phased build plan, evidence notes, tool prompts, and implementation guidance. It is a plan for your coding agent, not a finished app.

Usage: Mechanics are fair game; never reuse the original name, branding, assets, or verbatim copy.

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> SELECT BUILD PLATFORM:

Good fit for mobile-first iOS and Android prototypes with managed app scaffolding.

// RORK SYSTEM PROMPT
Rork plan preview for High-Frequency Noise Monitor: map the core Utilities workflow, choose the smallest differentiated feature set, define the data and monetization boundaries, then prototype the riskiest user journey first.
            

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Opportunities

AI-GENERATED OPPORTUNITY HYPOTHESES

These are generated suggestions, not verified review quotations. Check current App Store reviews and speak with users before treating a possible gap as a requirement.

Hypothesis 1

Implement advanced filtering algorithms to improve accuracy.

Assumption to check: Inaccurate noise measurements in certain environments

Validate with people who use this workflow before building.

Hypothesis 2

Add options to categorize and filter historical data.

Assumption to check: Limited history management features

Validate with people who use this workflow before building.

Hypothesis 3

Integrate social media sharing options and clipboard support.

Assumption to check: No sharing capabilities for results

Validate with people who use this workflow before building.

Hypothesis 4

Redesign UI for better organization and user experience.

Assumption to check: User interface feels cluttered

Validate with people who use this workflow before building.

App evidence

Original App Store material. Ratings and screenshots describe the existing app, not proof of demand for your version.

App Store description

"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.

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Screenshots

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Build scope

Plan a focused first version with your coding agent. These are planning assumptions, not a delivery guarantee.

Define the first version

Choose one audience and one core workflow. Use the kit to agree on its screens, data, and acceptance criteria before building.

Set boundaries

Decide which secondary features, integrations, and platform support can wait. Your version does not need to reproduce everything in the original.

Check the hard parts

Validate external services, specialist technology, data access, and ongoing costs for your chosen scope.

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BUILD KIT DIFFICULTY
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From the Build Kit assessment.

A reliable timeline needs an agreed scope and a technical check. Ask your agent to estimate the phases in BUILD_PLAN.md after that review.