---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Speedy Note: Tenor Clef"
developer_entity: "Brian Hughes"
bundle_id: "com.tlcmusic.Speedy-Tenor"
app_store_id: "795839903"
category: "Music"
primary_platform: "ios"
primary_monetization: "Paid"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2022-03-29"
report_date: "2026-05-20"
last_verified: "2026-05-20T10:06:31.600Z"
report_version: "1.9"
total_reviews: 6
overall_rating: 1.5
confidence: "low"
confidence_score: 0.2
data_age_days: 42
momentum_velocity: "zombie"
intelligence_version: 2
tags: ["music", "paid", "mobile app", "app review", "app analysis", "music", "students", "musicians"]
canonical_url: "https://marlvel.ai/intel-report/music/com-tlcmusic-speedy-tenor"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Speedy Note: Tenor Clef App Audit

## TL;DR {#tldr}

- **Category**: Music · Paid
- **Signal**: Rating 1.5

> **TL;DR:** Speedy Note: Tenor Clef is a music app by Brian Hughes, rated 1.5/5 by 6 users, available on iOS.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Speedy Note: Tenor Clef is a music app by Brian Hughes.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 1.5/5 (6 reviews) |
| **Category** | Music |
| **Developer** | Brian Hughes |
| **Pricing** | Paid |
| **Platforms** | iOS |
| **Confidence** | Low (0.2/1.0) |
| **Data Age** | 0d |

## Metadata & Market Performance
- **Publisher:** Brian Hughes
- **Category:** Music
- **Target Audience:** Music students and musicians of all ages seeking to improve their Tenor Clef sight-reading skills.
- **Platforms:** iOS
- **Version Audited:** 1.9
- **Audit Date:** 2026-05-20
- **Signal Count:** 3 reviews analyzed
- **Confidence:** Low (0.2/1.0)
- **App Store ID (iOS):** 795839903
- **Bundle ID:** com.tlcmusic.Speedy-Tenor
- **Data Window:** Analysis based on signals collected up to 2026-05-20

<!-- section:executive-snapshot -->
## Executive Snapshot
Speedy Note: Tenor Clef is a gamified educational tool designed to help users learn to read the Tenor Clef through six progressive difficulty levels. The app features MIDI compatibility for instrument integration and provides CD-quality piano audio with an optional silent mode for practice.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] Progressive Level System:** Users master the Tenor Clef by advancing through six distinct levels of difficulty at their own pace.
  * *User Intent:* Users seek enhanced value through premium features.
- **[Standard] MIDI Compatibility:** Supports connection to MIDI instruments via Lightning port or Bluetooth LE for interactive note learning.
- **[Standard] Silent Practice Mode:** Allows users to practice note recognition without requiring audio output from the device.
- **[Standard] Performance Tracking:** Tracks user scores to facilitate self-competition and progress monitoring.
  * *User Intent:* Users are driven by competitive achievement and recognition.
<!-- /section:features -->

## Monetization Strategy
- **Model:** Paid
- **Price:** iOS: $1.99

<!-- section:momentum -->
## App Momentum (Zombie) {#momentum}

Last updated 1512d ago. 5 versions tracked.

> **Cadence:** 5 total versions · 0 majors in last 6 months · 1512 days since last update

<!-- /section:momentum -->

<!-- section:so-what -->
## The "So What?" (Strategic Takeaway) {#so-what}

Speedy Note: Tenor Clef is an established music app that is a paid app.
With a 1.5/5 rating from 6 reviews, it shows polarized user reception.

<!-- speakable-start -->
> **Bottom Line:** While the app offers unique MIDI integration, recent user reports indicate significant stability issues preventing the application from launching.
<!-- speakable-end -->

**Best for:** Music students and musicians of all ages seeking to improve their Tenor Clef sight-reading skills.

<!-- /section:so-what -->

<!-- section:metrics -->
## Key Metrics Summary

| Metric | Value |
| :--- | :--- |
| Overall Rating | 1.5/5 |
| Total Reviews | 6 |
| Confidence | Low |
| Pricing Model | Paid |
| Platforms | iOS |
| Key Features | 4 analyzed |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Speedy Note: Tenor Clef** (this app) | 1.5/5 | N/A | Brian Hughes |
| [Suno - AI Songs & Music](https://marlvel.ai/intel-report/music/suno-ai-songs-music) | 4.0/5 | Mixed | Suno, Inc. |
| [BandLab – Music Maker & Beats](https://marlvel.ai/intel-report/music/bandlab-music-maker-beats) | 4.8/5 | Mixed | BandLab Singapore Pte Ltd |
| [Rhythm Fire-EDM Shooting Game](https://marlvel.ai/intel-report/music/rhythm-fire-edm-shooting-game) | 5.0/5 | N/A | Adaric Music |
| [Fugue Machine : MIDI Sequencer](https://marlvel.ai/intel-report/music/com-alexandernaut-fugue) | 4.9/5 | N/A | Alexandernaut |
| [Country Rap Tunes Radio](https://marlvel.ai/intel-report/music/com-countryrap-app) | 4.5/5 | N/A | Country Rap Tunes Radio |

## Company Profile
- **Developer:** Brian Hughes

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/de/app/speedy-note-tenorschl%C3%BCssel/id795839903?uo=2)
- **Sources:** App store metadata, User reviews.

## Related Intel Reports
- [*Suno - AI Songs & Music*](https://marlvel.ai/intel-report/music/suno-ai-songs-music) (Suno, Inc.) — 4.0/5 Rating | Mixed Sentiment
- [*BandLab – Music Maker & Beats*](https://marlvel.ai/intel-report/music/bandlab-music-maker-beats) (BandLab Singapore Pte Ltd) — 4.8/5 Rating | Mixed Sentiment
- [*Rhythm Fire-EDM Shooting Game*](https://marlvel.ai/intel-report/music/rhythm-fire-edm-shooting-game) (Adaric Music) — 5.0/5 Rating | N/A Sentiment
- [*Fugue Machine : MIDI Sequencer*](https://marlvel.ai/intel-report/music/com-alexandernaut-fugue) (Alexandernaut) — 4.9/5 Rating | N/A Sentiment
- [*Country Rap Tunes Radio*](https://marlvel.ai/intel-report/music/com-countryrap-app) (Country Rap Tunes Radio) — 4.5/5 Rating | N/A Sentiment
- [*iGrand Piano CS for iPad*](https://marlvel.ai/intel-report/music/igrand-piano-cs-for-ipad) (IK Multimedia US, LLC) — 3.3/5 Rating | Negative Sentiment
- [*Equalizer*](https://marlvel.ai/intel-report/music/com-yourcompany-equalizer) (Audioforge Labs Inc.) — 4.0/5 Rating | Positive Sentiment
- [*AmpliTube for iPad*](https://marlvel.ai/intel-report/music/amplitube-for-ipad) (IK Multimedia US, LLC) — 2.3/5 Rating | Negative Sentiment
- [*Lasertron Laser Harp*](https://marlvel.ai/intel-report/music/lasertron-laser-harp) (Rob Wilmot) — 1.0/5 Rating | N/A Sentiment
- [*iCollect Music: Vinyl Discogs*](https://marlvel.ai/intel-report/music/icollect-music-vinyl-discogs) (iCollect Everything, LLC) — 4.3/5 Rating | N/A Sentiment

## Methodology {#methodology}

This report was generated by Marlvel.ai's 5-stage AI intelligence pipeline:

1. **Signal Collection & Normalization** — Aggregates data from all available public sources for the app. Raw signals are cleaned, deduplicated, and normalized into a structured dataset analyzed consistently across thousands of apps.
2. **Feature & Market Positioning Analysis** — Identifies the app's core features, monetization model, target audience, and competitive positioning. Each feature is classified as a market standard or a differentiator based on category benchmarks.
3. **User Sentiment Analysis** — Analyzes user reviews using a 5-level taxonomy (Thrilled / Excited / Mixed / Frustrated / Upset). Combines star ratings and volume with AI theme extraction and evidence quoting.
4. **Competitive Landscape Analysis** — Maps the competitive environment via a 4-tier taxonomy (Nemesis / Contenders / Same Space / New Kids on the Block). Prioritizes same sub-genre over broad category.
5. **Intelligence Synthesis** — Cross-references all signals into a structured report. Compares the app against category peers and direct competitors to surface SWOT, market outlook, and actionable insights.

- **Confidence Score:** 0.2/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 3
- **Data Sources:** user reviews, App Store metadata
- **Rating Method:** Weighted average across platforms (iOS & Android), weighted by review count per platform
- **Independence:** Fully independent analysis. No publisher sponsorship or editorial influence.
- **Report Age:** 0 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/music/com-tlcmusic-speedy-tenor)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.