--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Wx Models" developer_entity: "Atlas Horne" bundle_id: "atlaschorne.Wx-Forecast-Models" app_store_id: "6756205823" category: "Weather" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2025-12-08" report_date: "2026-09-14" last_verified: "2026-09-14T00:00:00.000Z" report_version: "2.0" total_reviews: 2 overall_rating: 4 confidence: "low" confidence_score: 0.05 data_age_days: 58 momentum_velocity: "zombie" intelligence_version: 2 tags: ["weather", "free", "mobile app", "app review", "app analysis", "weather", "enthusiasts", "professionals"] canonical_url: "https://marlvel.ai/apps/wx-models" license: "CC-BY-NC 4.0" content_version: "v2" --- # Wx Models Intelligence Report ## TL;DR {#tldr} - **Category**: Weather · Free - **Signal**: Rating 4 > **TL;DR:** Wx Models is a weather app by Atlas Horne, rated 4/5 by 2 users, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Wx Models is a weather app by Atlas Horne. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4/5 (2 reviews) | | **Category** | Weather | | **Developer** | Atlas Horne | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.05/1.0) | | **Data Age** | 58d | ## Metadata & Market Performance - **Publisher:** Atlas Horne - **Category:** Weather - **Target Audience:** Weather enthusiasts and professionals requiring access to multiple forecast models on mobile devices. - **Platforms:** iOS - **Version Reviewed:** 2.0 - **Report Date:** 2026-09-14 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.05/1.0) - **App Store ID (iOS):** 6756205823 - **Bundle ID:** atlaschorne.Wx-Forecast-Models - **Data Window:** Analysis based on signals collected up to 2026-09-14 ## Executive Snapshot **What it is:** Wx Models is a weather visualization utility for iOS that provides mobile access to GFS, ECMWF, NAM, and HRRR forecast models. **Why users hire it:** The app removes the friction of accessing professional-grade forecast data on mobile devices by consolidating multiple model outputs into a single regional zoom interface. ## App DNA (Features & Intent) - **[Differentiator] Multi-Model Weather Visualization:** Displays GFS, ECMWF, NAM, and HRRR forecast models for regional weather analysis. - **[Standard] Regional Zoom:** Allows users to focus on specific geographic areas for localized forecast data. - **[Standard] Parameter Customization:** Enables adjustment of weather variables to view specific forecast conditions. * *User Intent:* Users value self-expression and personalized experiences. ## Market Position {#market-position} Wx Models occupies a niche segment of the weather category by offering multi-model access for free. The absence of monetization and the 280-day update gap suggest a static position that does not compete directly with high-frequency commercial weather platforms. ## Monetization Strategy - **Model:** Free - **Tiers:** Free - **Analysis:** Wx Models is distributed as a free utility with no visible in-app purchase or subscription gates. ## SWOT Analysis {#swot} **Core Strengths:** - Multi-model support provides a technical differentiator for professional-grade weather analysis. - Free distribution removes the financial barrier for enthusiasts comparing multiple forecast sources. **Growth Levers:** - Integration of push notifications for specific model-based weather alerts could drive daily active usage. - Tiered access to high-resolution model data could establish a sustainable revenue stream. ## App Momentum (Zombie) {#momentum} - No updates since December 2025. - Maintenance-only posture confirmed by inactivity. > **Cadence:** 1 total versions · 0 majors in last 6 months · 280 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Wx Models is a weather app that is completely free. It holds a 4/5 rating from 2 reviews. > **Bottom Line:** Wx Models serves a clear technical need for multi-model visualization, but the nine-month development silence signals a product at risk of abandonment. Implementing a monetization lever would unlock the resources needed to resume the update cadence and defend against mainstream rivals. **Best for:** Weather enthusiasts and professionals requiring access to multiple forecast models on mobile devices. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Audit server costs and implement a Pro tier because the current free model lacks revenue to support ongoing development -> sustain product viability. ### Outlook: Declining The weather category is consolidating around apps with high-frequency live-ops and integrated alert systems. Wx Models remains exposed due to its lack of development activity, which will likely lead to churn as users migrate to platforms that provide more reliable data updates and feature support. - 🔴 The 280-day update gap indicates a maintenance-only state, which erodes user trust and risks technical obsolescence as OS requirements evolve. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4/5 | | Total Reviews | 2 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Outlook | Declining | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Wx Models** (this app) | 4/5 | N/A | Atlas Horne | | [Bauernkalender](https://marlvel.ai/apps/ch-swift-bauernkalender) | N/A/5 | N/A | Swift Management AG | | [Forecast & What to Wear](https://marlvel.ai/apps/com-appsforparents-weatherforkids) | 4.2/5 | N/A | Natalia Jakubczyk-Gajewska | | [Weather&Clothes](https://marlvel.ai/apps/com-air-weather_and_clothes) | 2.7/5 | N/A | fk.system | | [처음날씨 - 잠금화면 및 알람으로 오늘의 날씨를!](https://marlvel.ai/apps/com-woozuda-weather) | 4.2/5 | N/A | WOOZUDA | | [미세미세 - 미세먼지, 초미세먼지, 날씨](https://marlvel.ai/apps/cheehoon-ha-particulateforecaster-particulateforecaster) | 4.8/5 | Excited | LifeOverflow Inc. | ## Company Profile - **Developer:** Atlas Horne ## Data Sources & Links - **App Store ID:** 6756205823 - **Sources:** App store metadata. ## Related Intel Reports - [*Bauernkalender*](https://marlvel.ai/apps/ch-swift-bauernkalender) (Swift Management AG) · N/A Rating - [*Forecast & What to Wear*](https://marlvel.ai/apps/com-appsforparents-weatherforkids) (Natalia Jakubczyk-Gajewska) · 4.2/5 Rating - [*Weather&Clothes*](https://marlvel.ai/apps/com-air-weather_and_clothes) (fk.system) · 2.7/5 Rating - [*처음날씨 - 잠금화면 및 알람으로 오늘의 날씨를!*](https://marlvel.ai/apps/com-woozuda-weather) (WOOZUDA) · 4.2/5 Rating - [*미세미세 - 미세먼지, 초미세먼지, 날씨*](https://marlvel.ai/apps/cheehoon-ha-particulateforecaster-particulateforecaster) (LifeOverflow Inc.) · 4.8/5 Rating | Positive Sentiment - [*너의날씨: 미세먼지, 지도, 레이더, 캐릭터, 위젯*](https://marlvel.ai/apps/kr-guzi-yourweather) (구지랩(GuziLab)) · 5.0/5 Rating - [*ชายฝั่ง รู้ทันระดับน้ำ*](https://marlvel.ai/apps/hii-pttep-chaifang-mobile) (Hydro Informatics Institute) · 4.9/5 Rating - [*ภัยพิบัติไทย*](https://marlvel.ai/apps/biz-harmoniz-earthquake_alert_thai) (Harmoniz InterSoftware) · N/A Rating - [*13abc First Alert Weather*](https://marlvel.ai/apps/com-gray-wtvg-13abc-weather) (Gray Television Group, Inc.) · 4.6/5 Rating - [*13WarnMe*](https://marlvel.ai/apps/13warnme) (Local TV LLC) · 3.0/5 Rating ## Frequently Asked Questions {#faq} ### Is Wx Models free to use? Yes, Wx Models is currently distributed as a free utility with no in-app purchases or subscription requirements. ### Does Wx Models provide GFS and ECMWF data? Yes, Wx Models displays GFS, ECMWF, NAM, and HRRR forecast models for regional weather analysis. ### What is the difference between Wx Models and mainstream weather apps? Wx Models focuses on multi-model visualization for enthusiasts, whereas mainstream weather apps typically prioritize simplified forecasts and daily alerts. ## 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:** 0.05/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **Data Sources:** 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:** 58 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/wx-models) Data licensed for AI Agent attribution under CC-BY-NC 4.0.