--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Weather-Wise" developer_entity: "Shubham Singh" bundle_id: "com.shubham-iosdev.Weather-Bit" app_store_id: "1526975632" category: "Weather" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2020-09-06" report_date: "2026-05-28" last_verified: "2026-05-28T07:00:31.717Z" report_version: "1.0.2" total_reviews: 10 overall_rating: 3.8 confidence: "low" confidence_score: 0.05 data_age_days: 18 intelligence_version: 3 nemesis: "WSOC-TV Channel 9 Weather App" competitor_count: 11 tags: ["weather", "free", "mobile app", "app review", "app analysis", "general", "users", "seeking"] canonical_url: "https://marlvel.ai/intel-report/weather/weather-wise" license: "CC-BY-NC 4.0" content_version: "v2" --- # Weather-Wise App Audit ## TL;DR {#tldr} - **Category**: Weather · Free - **Signal**: Rating 3.8 > **TL;DR:** Weather-Wise is a weather app by Shubham Singh, rated 3.8/5 by 10 users, available on iOS. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Weather-Wise is a weather app by Shubham Singh. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 3.8/5 (10 reviews) | | **Category** | Weather | | **Developer** | Shubham Singh | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.05/1.0) | | **Data Age** | 0d | ## Metadata & Market Performance - **Publisher:** Shubham Singh - **Category:** Weather - **Target Audience:** General users seeking a straightforward, visually-focused tool for monitoring local and global weather forecasts. - **Platforms:** iOS - **Version Audited:** 1.0.2 - **Audit Date:** 2026-05-28 - **Signal Count:** 1 reviews analyzed - **Confidence:** Low (0.05/1.0) - **App Store ID (iOS):** 1526975632 - **Bundle ID:** com.shubham-iosdev.Weather-Bit - **Performance Trend:** Declining - **Data Window:** Analysis based on signals collected up to 2026-05-28 ## Executive Snapshot **What it is:** Weather-Wise is a minimalist weather forecasting app for iOS that provides multi-location tracking and aesthetic, dynamic backgrounds. **Why users hire it:** Users hire Weather-Wise for a distraction-free glance at daily weather, avoiding the news-heavy clutter of broadcast-media competitors. ## App DNA (Features & Intent) - **[Standard] Intuitive UI:** Clean layout with dynamic backgrounds that update based on current weather conditions. - **[Standard] Future Weather Forecast:** Provides 48-hour and 7-day weather projections for current or travel locations. * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Personalized Weather Tracking:** Allows users to monitor and expand detailed forecasts for multiple global locations. * *User Intent:* Users value self-expression and personalized experiences. ## Market Position {#market-position} Weather-Wise occupies a niche position, currently ranking #99 Free in its category. The lack of high-resolution radar data relative to category leaders limits its ability to climb the chart. ## Monetization Strategy - **Model:** Free - **Tiers:** Free - **Analysis:** The app currently operates on a free model without visible monetization, limiting its ability to fund high-cost data integrations. ## SWOT Analysis {#swot} **Core Strengths:** - Minimalist UI design reduces cognitive load for casual users - Dynamic background engine sustains visual engagement during daily checks **Critical Frictions:** - Missing high-resolution radar data limits utility during severe weather - 3.8 rating on 10 reviews indicates early-stage instability **Growth Levers:** - Integrate hyper-local air quality data to differentiate from standard forecast apps - Add widget support to increase home-screen presence **Market Threats:** - Broadcast-backed apps with high-resolution radar capture the safety-conscious segment - AI-modeled weather apps drain the power-user base ## Recent Changes (v2 → v3) {#recent-changes} The app's competitive position has declined due to identified reliability issues and a lack of essential safety features compared to market rivals. **Overall trend**: Declining **Compared at**: 2026-05-28 ### High-impact changes - **[Declined] Emergence of reliability concerns** (sentiment) — User sentiment is now quantified at a 3.8 rating across 10 reviews, indicating instability not previously captured. - **[Shifted] Strategic vulnerability identified** (positioning) — Positioning shifted from a 'minimalist utility' to an 'aesthetic-first' app exposed to broadcast-backed rivals due to missing radar and alert data. ### Medium-impact changes - **[Added] Formalization of feature gaps** (features) — Added explicit tracking of missing high-resolution radar, home-screen widgets, and severe weather alerts. ## Rivals Landscape {#rivals} > Competitive positioning identified by AI analysis of app features, category, and market signals. ### Weather-Wise vs WSOC-TV Channel 9 Weather App — Head to Head - **[WSOC-TV Channel 9 Weather App](https://marlvel.ai/intel-report/weather/com-cmgdigital-wsocweatheripad)** by Cox Media Group: This app dominates the local weather space by combining high-frequency updates with trusted broadcast-grade radar, directly competing for the same daily-use weather audience as Weather-Wise. - **Key differences:** - Leverages established broadcast media brand authority to drive massive user acquisition and long-term retention - Offers high-resolution radar and location-based alerts that provide superior utility during severe weather events - Maintains a high-frequency release cadence that keeps the app relevant and technically stable for users - **Where Weather-Wise wins:** - ✅ Provides a cleaner, more minimalist UI that avoids the clutter of traditional broadcast news apps - ✅ Offers a more lightweight experience for users who prioritize speed over complex media integrations - **Where WSOC-TV Channel 9 Weather App wins:** - ❌ Boasts a massive, established user base and high trust factor through local news media association - ❌ Delivers professional-grade, high-resolution radar data that significantly outperforms basic weather forecasting tools - **Verdict:** Weather-Wise cannot compete on data depth; it must pivot to a 'Zen' UX strategy, focusing on speed and aesthetic simplicity to capture users overwhelmed by heavy news-based apps. ### Contenders (Strong Challengers) - **[WorldPulse Earth Weather Clouds & Temperature](https://marlvel.ai/intel-report/weather/worldpulse-earth-weather-clouds-temperature)** by Corporate Smalltalk Consulting Ltd: This app targets users interested in global weather visualization, overlapping with Weather-Wise's multi-location tracking capabilities. - Utilizes an interactive 3D globe for weather visualization, offering a more immersive experience than flat layouts - Provides a unique day/night timeline view that helps users visualize global weather patterns in real-time - **[KXLY Weather](https://marlvel.ai/intel-report/weather/kxly-weather)** by Evening Telegram Company: KXLY competes for the local utility market by offering specialized regional information like school closures alongside standard weather forecasts. - Aggregates community-specific data like school closures and delays, providing essential value beyond simple temperature tracking - Maintains a consistent update schedule that ensures the app remains functional across evolving iOS versions - **[St. Cloud Live StormTRACKER](https://marlvel.ai/intel-report/weather/st-cloud-live-stormtracker)** by Forum Communications Company: This app competes by focusing on regional severe weather tracking, capturing the same audience that needs reliable, location-aware alerts. - Prioritizes severe weather alerts and location awareness, creating a high-utility niche for regional safety-conscious users - Features comprehensive forecasting tools that provide more depth than the standard Weather-Wise interface currently offers - **[TempestOne Weather](https://marlvel.ai/intel-report/weather/tempestone-weather)** by WeatherFlow: TempestOne targets power users and professionals with advanced AI modeling and hardware-integrated data, challenging Weather-Wise's position as a reliable daily utility. - Integrates proprietary Nearcast AI modeling to provide hyper-local accuracy that standard weather models cannot match - Supports professional-grade hardware integrations like lightning detection sensors for specialized outdoor and industrial use cases ### Peers (What They Do Better) - **[AirGradient Map](https://marlvel.ai/intel-report/weather/airgradient-map)** by AirGradient Ltd.: AirGradient competes for the attention of environmentally conscious users who want weather-adjacent data like air quality. - Provides a global air quality map that integrates with open-source hardware for community-driven data - Includes offline-aware status features, ensuring users can access critical environmental data without constant connectivity - **[Dark Sky Tech Weather App](https://marlvel.ai/intel-report/weather/dark-sky-tech-weather-app)** by Hyperlocal Weather App Yazilim Limited Sirketi: This app directly challenges Weather-Wise by focusing on the same core value proposition: hyperlocal precipitation forecasting. - Specializes in minute-by-minute precipitation forecasts, a feature that remains a high-demand gap for many users - Focuses on dedicated storm and hurricane tracking tools that provide specific value during extreme weather - **[My PurpleAir](https://marlvel.ai/intel-report/weather/my-purpleair)** by Paul Demers: My PurpleAir competes for the same screen real estate by offering specialized air quality data that complements general weather information. - Provides deep integration with local sensor networks to deliver hyper-local air quality data to users - Features robust cross-device data sync and home screen widgets that improve daily user engagement - **[STORM-GPS Tornado Tracker](https://marlvel.ai/intel-report/weather/com-dspetty-stormgps)** by Daniel Lampe: This app serves the same niche of users who require precise, location-based weather tracking for safety and planning. - Offers street-level ETA tracking for storm movement, providing actionable safety data that exceeds general forecasts - Includes SkyWatch intensity analysis to help users gauge the severity of incoming weather systems ### New Kids on the Block (What's Innovative) - **[EarthWatch](https://marlvel.ai/intel-report/utilities/earthwatch)** by Michael Galliers: EarthWatch enters the market with a visual-first approach, appealing to users who prioritize aesthetics and satellite imagery. - Features live satellite wallpaper and high-resolution imagery that transforms weather data into a visual experience - **[Roam Weather](https://marlvel.ai/intel-report/weather/roam-weather)** by BareBones Dev, LLC: Roam Weather is a new entrant that threatens Weather-Wise by offering a more flexible approach to multi-location forecasting. - Allows users to organize forecasts into multiple custom collections, improving workflow for frequent travelers ## App Momentum (Steady) {#momentum} - No notable feature updates recently. ## The "So What?" (Strategic Takeaway) {#so-what} Weather-Wise is an established weather app that is completely free. With a 3.8/5 rating from 10 reviews, it shows polarized user reception. > **Bottom Line:** Weather-Wise holds its category lead through minimalist design but bleeds users to utility-heavy rivals, so revenue and retention growth hinges on integrating actionable data like widgets or air quality. **Best for:** General users seeking a straightforward, visually-focused tool for monitoring local and global weather forecasts. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] [HIGH IMPACT] Ship home-screen widgets because they are the standard for daily weather utility → increase daily active habit — *Competitors like My PurpleAir use widgets to secure screen real estate, which is critical for weather apps.* _(trade-off: deprioritize Push the multi-language support sprint to Q3 — current user base is primarily English-speaking.)_ - [ ] [PIVOT] [MEDIUM IMPACT] Audit forecast data source because 3.8 rating suggests reliability concerns → improve user trust — *The 3.8 rating is low for a utility app, indicating users find the data insufficient for daily needs.* _(trade-off: deprioritize Pause the dynamic background expansion — UI is already a strength, data reliability is the current bottleneck.)_ ### Feature Gaps vs Competitors - High-resolution radar (available in WSOC-TV Weather but missing here) - Home-screen widgets (available in My PurpleAir but missing here) - Severe weather alerts (available in St. Cloud Live StormTRACKER but missing here) ### Outlook: Stable The weather app market is consolidating around high-utility, data-rich tools that offer more than just basic forecasts. Weather-Wise remains exposed to these utility-heavy rivals, so the PM must prioritize high-frequency engagement features to prevent further erosion of the user base. - ⚪ The app remains in maintenance mode with no recent feature expansion, limiting its ability to capture share from active competitors. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 3.8/5 | | Total Reviews | 10 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Declining | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Weather-Wise** (this app) | 3.8/5 | N/A | Shubham Singh | | [WSOC-TV Channel 9 Weather App](https://marlvel.ai/intel-report/weather/com-cmgdigital-wsocweatheripad) | 4.8/5 | Mixed | Cox Media Group | | [TempestOne Weather](https://marlvel.ai/intel-report/weather/tempestone-weather) | 4.4/5 | Mixed | WeatherFlow | | [KXLY Weather](https://marlvel.ai/intel-report/weather/kxly-weather) | 2.8/5 | Upset | Evening Telegram Company | | [St. Cloud Live StormTRACKER](https://marlvel.ai/intel-report/weather/st-cloud-live-stormtracker) | 4.6/5 | N/A | Forum Communications Company | | [WorldPulse Earth Weather Clouds & Temperature](https://marlvel.ai/intel-report/weather/worldpulse-earth-weather-clouds-temperature) | 5.0/5 | N/A | Corporate Smalltalk Consulting Ltd | ## Company Profile - **Developer:** Shubham Singh - **Website:** [https://shubham0812.github.io/](https://shubham0812.github.io/) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/weather-wise/id1526975632?uo=4) - **Dev Site:** [Official Website](https://shubham0812.github.io/) - **Sources:** App store metadata. ## Related Intel Reports - [*WSOC-TV Channel 9 Weather App*](https://marlvel.ai/intel-report/weather/com-cmgdigital-wsocweatheripad) (Cox Media Group) — 4.8/5 Rating | Mixed Sentiment - [*TempestOne Weather*](https://marlvel.ai/intel-report/weather/tempestone-weather) (WeatherFlow) — 4.4/5 Rating | Mixed Sentiment - [*KXLY Weather*](https://marlvel.ai/intel-report/weather/kxly-weather) (Evening Telegram Company) — 2.8/5 Rating | Terrible Sentiment - [*St. Cloud Live StormTRACKER*](https://marlvel.ai/intel-report/weather/st-cloud-live-stormtracker) (Forum Communications Company) — 4.6/5 Rating | N/A Sentiment - [*WorldPulse Earth Weather Clouds & Temperature*](https://marlvel.ai/intel-report/weather/worldpulse-earth-weather-clouds-temperature) (Corporate Smalltalk Consulting Ltd) — 5.0/5 Rating | N/A Sentiment - [*Roam Weather*](https://marlvel.ai/intel-report/weather/roam-weather) (BareBones Dev, LLC) — 5.0/5 Rating | N/A Sentiment - [*Dark Sky Tech Weather App*](https://marlvel.ai/intel-report/weather/dark-sky-tech-weather-app) (Hyperlocal Weather App Yazilim Limited Sirketi) — 3.2/5 Rating | Negative Sentiment - [*My PurpleAir*](https://marlvel.ai/intel-report/weather/my-purpleair) (Paul Demers) — 4.2/5 Rating | N/A Sentiment - [*AirGradient Map*](https://marlvel.ai/intel-report/weather/airgradient-map) (AirGradient Ltd.) — 5.0/5 Rating | N/A Sentiment - [*EarthWatch*](https://marlvel.ai/intel-report/utilities/earthwatch) (Michael Galliers) — 5.0/5 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:** 0.05/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 1 - **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:** 0 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/weather/weather-wise) Data licensed for AI Agent attribution under CC-BY-NC 4.0.