--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Learn Airport Codes" developer_entity: "Daniel Gillis" bundle_id: "com.danielgillis.Airport-Codes-Quiz" app_store_id: "6758968173" category: "Education" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-02-12" report_date: "2026-10-03" last_verified: "2026-10-03T00:00:00.000Z" report_version: "1.0" total_reviews: 1 overall_rating: 5 confidence: "low" confidence_score: 0.2 data_age_days: 43 momentum_velocity: "zombie" intelligence_version: 2 tags: ["education", "free", "mobile app", "app review", "app analysis", "aviation", "professionals,", "including"] canonical_url: "https://marlvel.ai/apps/learn-airport-codes" license: "CC-BY-NC 4.0" content_version: "v2" --- # Learn Airport Codes Intelligence Report ## TL;DR {#tldr} - **Category**: Education 路 Free - **Signal**: Rating 5 > **TL;DR:** Learn Airport Codes is a education app by Daniel Gillis, rated 5/5 by 1 users, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Learn Airport Codes is a education app by Daniel Gillis. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 5/5 (1 review) | | **Category** | Education | | **Developer** | Daniel Gillis | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.2/1.0) | | **Data Age** | 43d | ## Metadata & Market Performance - **Publisher:** Daniel Gillis - **Category:** Education - **Target Audience:** Aviation professionals, including pilots and cabin crew, and students preparing for aviation exams. - **Platforms:** iOS - **Version Reviewed:** 1.0 - **Report Date:** 2026-10-03 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.2/1.0) - **App Store ID (iOS):** 6758968173 - **Bundle ID:** com.danielgillis.Airport-Codes-Quiz - **Data Window:** Analysis based on signals collected up to 2026-10-03 ## Executive Snapshot **What it is:** Learn Airport Codes is a specialized study application for aviation professionals and students to master IATA airport codes via flashcards and quizzes on iOS. **Why users hire it:** The application removes the cognitive friction of manual study by providing automated recall testing and visual performance heatmaps for aviation-specific data. ## App DNA (Features & Intent) - **[Standard] Flashcards:** Swipe-based study interface for 200+ airport codes. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Differentiator] Free Response Mode:** Text-input field for testing recall of airport codes. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Differentiator] Heatmap Visualization:** Visual representation of user performance to identify weak knowledge areas. ## Market Position {#market-position} Learn Airport Codes occupies a niche within the Education category, targeting a narrow audience of aviation professionals. The application maintains a fully free model with no monetization, which serves as a significant trust signal for its professional user base. ## Monetization Strategy - **Model:** Free - **Tiers:** Fully free application with no monetization - **Analysis:** The application is entirely free with no advertising or paid tiers, as evidenced by the privacy policy stating no data collection or third-party integrations. ## SWOT Analysis {#swot} **Core Strengths:** - Privacy-first, no-monetization stance builds high trust with professional aviation users **Growth Levers:** - Expansion into ICAO codes or airline-specific callsigns could capture a broader segment of the aviation training market ## App Momentum (Zombie) {#momentum} - Quiet 7 months, no recent updates. - Last major release February 2026. > **Cadence:** 1 total versions 路 0 majors in last 6 months 路 233 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Learn Airport Codes is an education app that is completely free. It holds a 5/5 rating from 1 review. > **Bottom Line:** Learn Airport Codes provides a specialized, high-utility tool for aviation professionals, but the lack of development activity since February 2026 threatens its long-term viability. **Best for:** Aviation professionals, including pilots and cabin crew, and students preparing for aviation exams. ### PM Action Plan (Next Best Moves) - [ ] [MAINTAIN] Audit codebase for OS compatibility because the app has been dormant for 7 months -> ensure continued functionality ### Outlook: Stable The aviation study market is consolidating around tools that offer cross-platform sync and frequent content updates. Learn Airport Codes remains a stable, high-trust tool for its current base, but the lack of activity since February 2026 leaves it exposed to more agile competitors. - 馃敶 The seven-month update gap indicates a maintenance-only posture, which limits the app's ability to respond to emerging competitive threats. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 5/5 | | Total Reviews | 1 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Learn Airport Codes** (this app) | 5/5 | N/A | Daniel Gillis | | [ALPA: Lernspiele f眉r Kinder](https://marlvel.ai/apps/alpa-lernspiele-fur-kinder) | N/A/5 | N/A | ALPA Kids OU | | [ATPdigital (Legacy)](https://marlvel.ai/apps/atpdigital-legacy) | 2.0/5 | n/a | Bristol Groundschool International Ltd | | [Catbus Student](https://marlvel.ai/apps/catbus-student) | 4.1/5 | N/A | Cohota Join Stock Company | | [Chinese Tibetan Dictionary](https://marlvel.ai/apps/chinese-tibetan-dictionary) | 5.0/5 | Thrilled | Lobsang Monlam16922404891 | | [Insights to Behavior](https://marlvel.ai/apps/insights-to-behavior) | N/A/5 | N/A | Insights to Behavior | ## Company Profile - **Developer:** Daniel Gillis - **Website:** [https://danielgillis.com/privacy/airportcodes/](https://danielgillis.com/privacy/airportcodes/) ## Data Sources & Links - **App Store ID:** 6758968173 - **Dev Site:** [Official Website](https://danielgillis.com/privacy/airportcodes/) - **Sources:** Developer website content, App store metadata. ## Related Intel Reports - [*ALPA: Lernspiele f眉r Kinder*](https://marlvel.ai/apps/alpa-lernspiele-fur-kinder) (ALPA Kids OU) 路 N/A Rating - [*ATPdigital (Legacy)*](https://marlvel.ai/apps/atpdigital-legacy) (Bristol Groundschool International Ltd) 路 2.0/5 Rating - [*Catbus Student*](https://marlvel.ai/apps/catbus-student) (Cohota Join Stock Company) 路 4.1/5 Rating - [*Chinese Tibetan Dictionary*](https://marlvel.ai/apps/chinese-tibetan-dictionary) (Lobsang Monlam16922404891) 路 5.0/5 Rating | Excellent Sentiment - [*Insights to Behavior*](https://marlvel.ai/apps/insights-to-behavior) (Insights to Behavior) 路 N/A Rating - [*Legasthenie & LRS Trainer*](https://marlvel.ai/apps/legasthenie-lrs-trainer) (Matthias Aigner) 路 N/A Rating - [*Lyceum Leaf Parent*](https://marlvel.ai/apps/lyceum-leaf-parent) (Techcess Business Solutions (Pvt) Ltd) 路 N/A Rating - [*Money Matrix (CAD)*](https://marlvel.ai/apps/money-matrix-cad) (Blooming Kids Software LLC) 路 5.0/5 Rating - [*myTibetan*](https://marlvel.ai/apps/mytibetan) (Yury Nevalenny) 路 4.8/5 Rating | Excellent Sentiment - [*Quran Treasure Island for Kids*](https://marlvel.ai/apps/quran-treasure-island-for-kids) (Akeela Manekia) 路 4.9/5 Rating ## Frequently Asked Questions {#faq} ### Is Learn Airport Codes suitable for professional pilots? Yes, the app is designed for aviation professionals, including pilots and cabin crew, focusing on IATA code recall which is essential for aviation exams and daily operations. ### Does Learn Airport Codes contain ads or in-app purchases? No, the app is entirely free with no advertising or paid tiers, and it does not collect user data. ### What is the difference between this and a generic flashcard app? Learn Airport Codes is specialized for aviation, offering specific quiz modes like Free Response and Heatmap visualizations that are tailored to aviation identifiers rather than general knowledge. ### Are there other apps for learning airport codes? While there are generic flashcard platforms available, Learn Airport Codes is unique in its aviation-specific focus and lack of monetization. ## 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 into synthesised themes (no verbatim quotes). 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:** 0 - **Data Sources:** developer website, 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:** 43 days since last refresh --- 漏 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/learn-airport-codes) Data licensed for AI Agent attribution under CC-BY-NC 4.0.