--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Dopamind – Screen Time Tracker" developer_entity: "Shubham Pol" bundle_id: "com.shubham.Digitox" app_store_id: "6753589450" category: "Health & Fitness" primary_platform: "ios" primary_monetization: "Subscription" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-08-06" report_date: "2026-11-01" last_verified: "2026-11-01T00:00:00.000Z" report_version: "1.0" total_reviews: 0 confidence: "low" confidence_score: 0.2 data_age_days: 13 momentum_velocity: "maintenance" intelligence_version: 2 tags: ["health & fitness", "subscription", "mobile app", "app review", "app analysis", "users", "seeking", "manage"] canonical_url: "https://marlvel.ai/apps/dopamind-screen-time-tracker" license: "CC-BY-NC 4.0" content_version: "v2" --- ## ⚠ Content Warning This report covers topics classified as sensitive (health). Information is aggregated from public sources for informational purposes only. This is not medical advice. Consult a qualified professional before acting on any information here. --- # Dopamind – Screen Time Tracker Intelligence Report ## TL;DR {#tldr} - **Category**: Health & Fitness · Subscription > **TL;DR:** Dopamind – Screen Time Tracker is a health & fitness app by Shubham Pol, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Dopamind – Screen Time Tracker is a health & fitness app by Shubham Pol. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Health & Fitness | | **Developer** | Shubham Pol | | **Pricing** | Subscription | | **Platforms** | iOS | | **Confidence** | Low (0.2/1.0) | | **Data Age** | 13d | ## Metadata & Market Performance - **Publisher:** Shubham Pol - **Category:** Health & Fitness - **Target Audience:** Users seeking to manage screen time and digital habits through a non-punitive, data-driven approach. - **Platforms:** iOS - **Version Reviewed:** 1.0 - **Report Date:** 2026-11-01 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.2/1.0) - **App Store ID (iOS):** 6753589450 - **Bundle ID:** com.shubham.Digitox - **Data Window:** Analysis based on signals collected up to 2026-11-01 ## Executive Snapshot **What it is:** Dopamind is a screen-time tracking and wellness app for iOS that uses a proprietary daily score to help users manage digital habits. **Why users hire it:** It removes the cognitive friction of standard productivity dashboards by providing a single, non-punitive metric that rewards recovery moments alongside usage limits. ## App DNA (Features & Intent) - **[Differentiator] DopaScore:** Daily index calculating phone usage, app blocking, and recovery moments into a single score starting at 100. * *User Intent:* Users are motivated by consistent progression and daily incentives. - **[Standard] System-Level Focus Rules:** Enforces app blocking via Apple's Screen Time API to restrict social media or work apps during set windows. * *User Intent:* Users seek social connection and competitive engagement with peers. - **[Differentiator] Guided Breathing Sessions:** In-app breathing exercises that provide recovery points to improve the daily DopaScore. * *User Intent:* Users are motivated by consistent progression and daily incentives. ## Market Position {#market-position} Dopamind operates in the Health & Fitness category, currently maintaining a zero-rating status since its release 87 days ago. The lack of public social proof and recent updates positions it as a niche, early-stage entrant compared to established screen-time utilities. ## Monetization Strategy - **Model:** Subscription - **Tiers:** Free to download with 7-day trial, Monthly at $4.99/month, Annual at $29.99/year - **Analysis:** Subscription model anchored at $29.99/year, offering a 50% discount for annual commitments to drive long-term retention. ## SWOT Analysis {#swot} **Core Strengths:** - DopaScore creates a non-punitive habit loop - System-level blocking ensures functional enforcement - Calm design reduces user-reported anxiety **Growth Levers:** - Localized pricing in high-ARPU markets - Corporate wellness partnerships using DopaScore metric ## App Momentum (Maintenance) {#momentum} - No updates in 87 days. - Zero public ratings since launch. > **Cadence:** 1 total versions · 0 majors in last 6 months · 86 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Dopamind – Screen Time Tracker is a health & fitness app. > **Bottom Line:** Dopamind's DopaScore provides a unique behavioral hook that distinguishes it from standard usage trackers, but the 87-day development silence threatens its viability as a subscription product. Establishing a consistent update cadence is necessary to prove the app is a long-term wellness partner. **Best for:** Users seeking to manage screen time and digital habits through a non-punitive, data-driven approach. ### PM Action Plan (Next Best Moves) - [ ] [MAINTAIN] Ship a public-facing roadmap because the 87-day silence erodes trust in the app's longevity → stabilize churn. ### Outlook: Declining The screen-time management market is consolidating around apps that offer frequent live-ops updates and deep OS integration. Dopamind's current inactivity leaves it exposed to churn, as users require consistent feature expansion to justify a recurring subscription cost. - 🔴 The 87-day update gap suggests the app is in maintenance mode, which will likely lead to churn as users seek more active alternatives. - 🔴 Zero public ratings since launch indicate a failure to capture early-adopter momentum, limiting the app's ability to compete in the crowded wellness space. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Subscription | | Platforms | iOS | | Key Features | 3 analyzed | | Outlook | Declining | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Dopamind – Screen Time Tracker** (this app) | N/A/5 | N/A | Shubham Pol | | [Mind - Méditations guidées](https://marlvel.ai/apps/mind-m-ditations-guid-es) | 4.6/5 | Excited | MIND AND CIE | | [Caspar Health](https://marlvel.ai/apps/caspar-health) | 3.6/5 | Mixed | GOREHA GmbH | | [evolum - Meditation & Yoga](https://marlvel.ai/apps/evolum-meditation-yoga) | 4.7/5 | Excited | Rodger Studio (Apps) | | [FAMHLTH: Family Health Tracker](https://marlvel.ai/apps/famhlth-family-health-tracker) | N/A/5 | N/A | Quinton Nixon | | [Gluten Checker](https://marlvel.ai/apps/gluten-checker) | N/A/5 | N/A | JIRI CHOMAT | ## Company Profile - **Developer:** Shubham Pol - **Website:** [https://www.dopamax.life/](https://www.dopamax.life/) ## Data Sources & Links - **App Store ID:** 6753589450 - **Dev Site:** [Official Website](https://www.dopamax.life/) - **Sources:** Developer website content, App store metadata. ## Related Intel Reports - [*Mind - Méditations guidées*](https://marlvel.ai/apps/mind-m-ditations-guid-es) (MIND AND CIE) · 4.6/5 Rating | Positive Sentiment - [*Caspar Health*](https://marlvel.ai/apps/caspar-health) (GOREHA GmbH) · 3.6/5 Rating - [*evolum - Meditation & Yoga*](https://marlvel.ai/apps/evolum-meditation-yoga) (Rodger Studio (Apps)) · 4.7/5 Rating | Positive Sentiment - [*FAMHLTH: Family Health Tracker*](https://marlvel.ai/apps/famhlth-family-health-tracker) (Quinton Nixon) · N/A Rating - [*Gluten Checker*](https://marlvel.ai/apps/gluten-checker) (JIRI CHOMAT) · N/A Rating - [*Gluten Free For Me*](https://marlvel.ai/apps/gluten-free-for-me) (Adam First) · 4.8/5 Rating - [*GoTall - Height Predictor*](https://marlvel.ai/apps/gotall-height-predictor) (Grow Labs LLC) · 4.6/5 Rating - [*Lunara: Cycle, Symptom Tracker*](https://marlvel.ai/apps/lunara-cycle-symptom-tracker) (Fuzhou Jiku Technology Co., Ltd.) · N/A Rating - [*Medical Kundali Match Health*](https://marlvel.ai/apps/medical-kundali-match-health) (Medical Match Pvt Ltd) · N/A Rating - [*Ovulation Predictor*](https://marlvel.ai/apps/ovulation-predictor) (RAHI PATEL) · 1.0/5 Rating ## 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:** 13 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/dopamind-screen-time-tracker) Data licensed for AI Agent attribution under CC-BY-NC 4.0.