--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Bean Tracker - Coffee Tracker" developer_entity: "Ashish Swain" bundle_id: "app.rork.4dr17ivj1641v4dk3c6pp" app_store_id: "6780067769" category: "Health & Fitness" primary_platform: "ios" primary_monetization: "Subscription" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-08-20" report_date: "2026-09-05" last_verified: "2026-09-05T00:00:00.000Z" report_version: "1.3.0" total_reviews: 0 confidence: "low" confidence_score: 0.2 data_age_days: 67 momentum_velocity: "maintenance" intelligence_version: 3 tags: ["health & fitness", "subscription", "mobile app", "app review", "app analysis", "coffee", "enthusiasts", "health-conscious"] canonical_url: "https://marlvel.ai/apps/bean-tracker-coffee-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. --- # Bean Tracker - Coffee Tracker Intelligence Report ## TL;DR {#tldr} - **Category**: Health & Fitness · Subscription > **TL;DR:** Bean Tracker - Coffee Tracker is a health & fitness app by Ashish Swain, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Bean Tracker - Coffee Tracker is a health & fitness app by Ashish Swain. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Health & Fitness | | **Developer** | Ashish Swain | | **Pricing** | Subscription | | **Platforms** | iOS | | **Confidence** | Low (0.2/1.0) | | **Data Age** | 67d | ## Metadata & Market Performance - **Publisher:** Ashish Swain - **Category:** Health & Fitness - **Target Audience:** Coffee enthusiasts and health-conscious individuals who want to monitor caffeine intake to improve sleep quality. - **Platforms:** iOS - **Version Reviewed:** 1.3.0 - **Report Date:** 2026-09-05 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.2/1.0) - **App Store ID (iOS):** 6780067769 - **Bundle ID:** app.rork.4dr17ivj1641v4dk3c6pp - **Performance Trend:** Stable - **Data Window:** Analysis based on signals collected up to 2026-09-05 ## Executive Snapshot **What it is:** Bean Tracker is a caffeine-management app for coffee enthusiasts that visualizes real-time caffeine levels and provides sleep-cutoff coaching on iOS. **Why users hire it:** Users want to enjoy coffee without the cognitive and physical cost of disrupted sleep, which Bean Tracker addresses by mapping caffeine half-life to individual bedtime thresholds. ## App DNA (Features & Intent) - **[Differentiator] Caffeine Tracking Ring:** Visualizes real-time caffeine levels in the body using a daily ring display. * *User Intent:* Users are motivated by consistent progression and daily incentives. - **[Differentiator] Sleep Cutoff Coach:** Calculates and warns users of the latest time to consume caffeine based on a set bedtime. - **[Differentiator] Coffee Wrapped:** Generates animated monthly and yearly recaps of consumption habits and flavor profiles. * *User Intent:* Users seek enhanced value through premium features. ## Market Position {#market-position} Bean Tracker occupies a niche within the Health & Fitness category by focusing on caffeine metabolism rather than general nutrition. The subscription-only pricing model targets high-intent users, though the lack of a free tier limits the top-of-funnel discovery compared to ad-supported competitors. ## Monetization Strategy - **Model:** Subscription - **Tiers:** Weekly at $2.99/week, Yearly at $29.99/year with a 3-day free trial - **Analysis:** Subscription-only model with no free tier, anchored by a 3-day trial to lower the barrier to entry for the $29.99 annual commitment. ## SWOT Analysis {#swot} **Core Strengths:** - Caffeine-metabolism ring provides science-backed differentiation - Sleep-cutoff coach maps consumption to bedtime thresholds **Growth Levers:** - Automating sleep-data inputs via Apple Health integration ## Recent Changes (v2 → v3) {#recent-changes} The analytical focus has shifted from subscription-only monetization concerns to the technical necessity of automating data ingestion to remain competitive. The product roadmap now prioritizes Apple Health integration over the previously proposed free-tier expansion. **Overall trend**: Stable **Compared at**: 2026-09-05 ### High-impact changes - **[Shifted] Strategic focus on automation** (positioning) - **[Shifted] PM Action Item pivot** (positioning) ### Medium-impact changes - **[Shifted] SWOT refinement** (swot) ## What's New - **Latest (v1.3.0, 2 weeks ago):** Transitioned to an all-inclusive subscription model, unlocking all premium features, themes, and advanced stats for subscribers while introducing a new yearly plan. ## App Momentum (Maintenance) {#momentum} - Transitioned to all-inclusive subscription model. - Ships maintenance-mode updates. > **Cadence:** 1 total versions · 1 majors in last 6 months · 15 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Bean Tracker - Coffee Tracker is a health & fitness app. > **Bottom Line:** Bean Tracker succeeds by mapping caffeine metabolism to sleep quality, but the subscription-only model risks stalling user growth. Automating data inputs would unlock the retention potential that manual logging currently suppresses. **Best for:** Coffee enthusiasts and health-conscious individuals who want to monitor caffeine intake to improve sleep quality. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Ship Apple Health integration because manual logging is a high-friction barrier → increase retention ### Outlook: Stable The health-tracking market is consolidating around automated data collection, which puts manual-entry apps like Bean Tracker at a disadvantage. If Bean Tracker does not automate data ingestion, it will struggle to retain casual users who find manual logging tedious. - ⚪ The latest release transitioned to a subscription-only model, signaling a focus on high-intent monetization over broad user-base acquisition. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Subscription | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Stable | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Bean Tracker - Coffee Tracker** (this app) | N/A/5 | N/A | Ashish Swain | | [GoTall - Height Predictor](https://marlvel.ai/apps/gotall-height-predictor) | 4.6/5 | n/a | Grow Labs LLC | | [Mind - Méditations guidées](https://marlvel.ai/apps/mind-m-ditations-guid-es) | 4.6/5 | Excited | MIND AND CIE | | [Strava: Run, Bike, Walk](https://marlvel.ai/apps/strava-run-bike-walk) | 4.7/5 | n/a | Strava, Inc. | | [Taller AI: Height Maximizer](https://marlvel.ai/apps/taller-ai-height-maximizer) | 4.7/5 | Excited | Leadimize | | [TallerTeen - Grow Taller Now](https://marlvel.ai/apps/tallerteen-grow-taller-now) | 4.7/5 | n/a | Viral App Developement LLC | ## Company Profile - **Developer:** Ashish Swain - **Website:** [https://usebeantracker.com](https://usebeantracker.com) ## Data Sources & Links - **App Store ID:** 6780067769 - **Dev Site:** [Official Website](https://usebeantracker.com) - **Sources:** Developer website content, App store metadata. ## Related Intel Reports - [*GoTall - Height Predictor*](https://marlvel.ai/apps/gotall-height-predictor) (Grow Labs LLC) · 4.6/5 Rating - [*Mind - Méditations guidées*](https://marlvel.ai/apps/mind-m-ditations-guid-es) (MIND AND CIE) · 4.6/5 Rating | Positive Sentiment - [*Strava: Run, Bike, Walk*](https://marlvel.ai/apps/strava-run-bike-walk) (Strava, Inc.) · 4.7/5 Rating - [*Taller AI: Height Maximizer*](https://marlvel.ai/apps/taller-ai-height-maximizer) (Leadimize) · 4.7/5 Rating | Positive Sentiment - [*TallerTeen - Grow Taller Now*](https://marlvel.ai/apps/tallerteen-grow-taller-now) (Viral App Developement LLC) · 4.7/5 Rating - [*Activity Tracker・FitnessView*](https://marlvel.ai/apps/activity-tracker-fitnessview) (Funn Media, LLC) · 4.0/5 Rating - [*Avatran Soul*](https://marlvel.ai/apps/avatran-soul) (Avatran GmbH) · N/A Rating - [*Bubblic: Connect with people.*](https://marlvel.ai/apps/bubblic-connect-with-people) (Bubblic Inc.) · 4.6/5 Rating | Excellent Sentiment - [*evolum - Meditation & Yoga*](https://marlvel.ai/apps/evolum-meditation-yoga) (Evolum) · 4.7/5 Rating | Positive Sentiment - [*Holoholo: Daily Memories*](https://marlvel.ai/apps/holoholo-daily-memories) (For Pedestrians LLC.) · 4.4/5 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:** 67 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/bean-tracker-coffee-tracker) Data licensed for AI Agent attribution under CC-BY-NC 4.0.