--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "SkyQI - Light Pollution" developer_entity: "Bhuvan Kumar Gupta" bundle_id: "com.sg.skyqi" app_store_id: "6762080481" category: "Education" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-07-07" report_date: "2026-08-19" last_verified: "2026-08-19T00:00:00.000Z" report_version: "1.0.3" total_reviews: 0 confidence: "low" confidence_score: 0.05 data_age_days: 13 momentum_velocity: "maintenance" intelligence_version: 3 tags: ["education", "free", "mobile app", "app review", "app analysis", "amateur", "astronomers,", "students,"] canonical_url: "https://marlvel.ai/apps/skyqi-light-pollution" license: "CC-BY-NC 4.0" content_version: "v2" --- # SkyQI - Light Pollution Intelligence Report ## TL;DR {#tldr} - **Category**: Education · Free > **TL;DR:** SkyQI - Light Pollution is a education app by Bhuvan Kumar Gupta, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** SkyQI - Light Pollution is a education app by Bhuvan Kumar Gupta. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Education | | **Developer** | Bhuvan Kumar Gupta | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.05/1.0) | | **Data Age** | 13d | ## Metadata & Market Performance - **Publisher:** Bhuvan Kumar Gupta - **Category:** Education - **Target Audience:** Amateur astronomers, students, and environmental advocates interested in tracking light pollution and planning stargazing sessions. - **Platforms:** iOS - **Version Reviewed:** 1.0.3 - **Report Date:** 2026-08-19 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.05/1.0) - **App Store ID (iOS):** 6762080481 - **Bundle ID:** com.sg.skyqi - **Performance Trend:** Stable - **Data Window:** Analysis based on signals collected up to 2026-08-19 ## Executive Snapshot **What it is:** SkyQI is a citizen science app for iOS that uses smartphone image processing to measure night sky quality and light pollution. **Why users hire it:** It removes the financial barrier of dedicated SQM hardware, enabling amateur astronomers and students to contribute to a national light pollution database. ## App DNA (Features & Intent) - **[Differentiator] Sky Quality Meter Analysis:** Calculates Bortle class and SQM values from uploaded night sky photos using image processing. * *User Intent:* Users seek enhanced value through premium features. - **[Differentiator] NASA VIIRS Map Overlay:** Displays light pollution data across India using satellite imagery layers. - **[Differentiator] Citizen Science Database:** Aggregates user-uploaded measurements into a national light pollution database. ## Market Position {#market-position} SkyQI serves a specialized niche in the Education category, providing a technical utility for environmental monitoring that lacks direct, free-to-use mobile competitors. The app's value rests on its ability to turn standard smartphone cameras into calibrated measurement tools. ## Monetization Strategy - **Model:** Free - **Tiers:** Free to use with no account required - **Analysis:** SkyQI operates as a non-monetized citizen science project with no account-gated features. ## SWOT Analysis {#swot} **Core Strengths:** - Image-processing algorithm replaces dedicated SQM hardware **Growth Levers:** - National database expansion via crowdsourced VIIRS overlays ## Recent Changes (v2 → v3) {#recent-changes} Strategic focus shifted from viral growth via social sharing to long-term retention via user account-based history tracking. The product remains in a maintenance-only cadence with no new feature releases. **Overall trend**: Stable **Compared at**: 2026-08-19 ### High-impact changes - **[Shifted] SWOT Analysis Pivot** (swot) - **[Shifted] Strategic Recommendation** (positioning) ## What's New - **Latest (v1.0.3, 1 months ago):** Introduced descriptive rejection feedback for photo analysis, replacing generic error messages with specific reasons like lighting or obstruction issues. ## App Momentum (Maintenance) {#momentum} - Shipped descriptive rejection feedback for photos. - Maintains a 6-week maintenance update cadence. > **Cadence:** 1 total versions · 0 majors in last 6 months · 42 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} SkyQI - Light Pollution is an education app that is completely free. > **Bottom Line:** SkyQI provides a unique technical utility for environmental monitoring that lowers the barrier to citizen science. Implementing user accounts would unlock the personal tracking loop necessary to retain the amateur astronomer segment over the long term. **Best for:** Amateur astronomers, students, and environmental advocates interested in tracking light pollution and planning stargazing sessions. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Implement user accounts because the lack of history tracking limits long-term engagement → increase retention ### Outlook: Stable The light pollution monitoring space is consolidating around crowdsourced data, and SkyQI's focus on a national database provides a clear path for growth. If the team can transition from a maintenance-only cadence to a feature-led roadmap, they can solidify their position before general-purpose astronomy apps integrate similar functionality. - 🟢 The latest update introduced specific photo analysis feedback, showing active development focused on improving the core measurement mechanism. - ⚪ The 6-week release cadence suggests a maintenance-mode posture rather than aggressive feature expansion, which limits the app's ability to capture broader market share. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Stable | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **SkyQI - Light Pollution** (this app) | N/A/5 | N/A | Bhuvan Kumar Gupta | | [AlgoApp - Flashcards](https://marlvel.ai/apps/algoapp-flashcards) | 4.5/5 | n/a | AlgoApp Inc | | [Elevate - Brain Training Games](https://marlvel.ai/apps/elevate-brain-training-games) | 4.7/5 | n/a | The Mind Company | | [Flashcards Deluxe](https://marlvel.ai/apps/flashcards-deluxe) | 4.5/5 | N/A | OrangeOrApple.com | | [Flash Cards Flashcards Maker](https://marlvel.ai/apps/flash-cards-flashcards-maker) | 4.0/5 | Mixed | Infinite Wave Media, LLC | | [Flashcards maker - AI generate](https://marlvel.ai/apps/flashcards-maker-ai-generate) | 4.1/5 | Mixed | Teleprompter LLC | ## Company Profile - **Developer:** Bhuvan Kumar Gupta ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/skyqi-light-pollution/id6762080481?uo=4) - **Sources:** App store metadata. ## Related Intel Reports - [*AlgoApp - Flashcards*](https://marlvel.ai/apps/algoapp-flashcards) (AlgoApp Inc) · 4.5/5 Rating - [*Elevate - Brain Training Games*](https://marlvel.ai/apps/elevate-brain-training-games) (The Mind Company) · 4.7/5 Rating - [*Flashcards Deluxe*](https://marlvel.ai/apps/flashcards-deluxe) (OrangeOrApple.com) · 4.5/5 Rating - [*Flash Cards Flashcards Maker*](https://marlvel.ai/apps/flash-cards-flashcards-maker) (Infinite Wave Media, LLC) · 4.0/5 Rating - [*Flashcards maker - AI generate*](https://marlvel.ai/apps/flashcards-maker-ai-generate) (Teleprompter LLC) · 4.1/5 Rating - [*Impulse - Brain Training*](https://marlvel.ai/apps/impulse-brain-training) (GMRD Apps Limited) · 4.6/5 Rating - [*Peak - Brain Training*](https://marlvel.ai/apps/peak-brain-training) (Synaptic Labs) · 4.7/5 Rating - [*자주 틀리는 우리말*](https://marlvel.ai/apps/app--424) (DaolSoft, Co., Ltd.) · N/A Rating - [*달공부 - 한 달 공부 다이어리 + 루틴/공부 타이머*](https://marlvel.ai/apps/azlabs-dalstudy) (SuWon Choi) · N/A Rating - [*타요콘 - 타요 아바타 놀이동화*](https://marlvel.ai/apps/com-kigle-project-tayocon) (KIGLE) · 3.1/5 Rating ## Frequently Asked Questions {#faq} ### Is SkyQI accurate enough for professional astronomy research? SkyQI is designed as a citizen science tool for amateur astronomers and students. While it provides Bortle class and SQM values via smartphone image processing, it is intended for educational and advocacy purposes rather than professional-grade scientific research. ### Does SkyQI require a paid subscription to access the light pollution map? No, SkyQI is free to use and does not feature a subscription model or account-gated content. All features, including the NASA VIIRS light pollution map, are available without payment. ### Is my measurement data shared publicly? SkyQI is a citizen science project that aggregates user-uploaded measurements to build a detailed light pollution database for India. By using the app, you contribute to this national database. ## 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:** 13 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/skyqi-light-pollution) Data licensed for AI Agent attribution under CC-BY-NC 4.0.