--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Coffee Roast Log" developer_entity: "Theodore Hopkins" bundle_id: "com.c31offeeRoa32stLog" app_store_id: "6761372156" category: "Utilities" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-04-09" report_date: "2026-05-13" last_verified: "2026-05-13T02:37:37.481Z" report_version: "1.0" total_reviews: 0 confidence: "low" confidence_score: 0.05 data_age_days: 4 momentum_velocity: "maintenance" intelligence_version: 3 nemesis: "Optimal Coffee Notes" competitor_count: 7 tags: ["utilities", "free", "mobile app", "app review", "app analysis", "coffee", "roasters", "document"] canonical_url: "https://marlvel.ai/intel-report/utilities/coffee-roast-log" license: "CC-BY-NC 4.0" content_version: "v2" --- # Coffee Roast Log App Audit ## TL;DR {#tldr} - **Category**: Utilities · Free > **TL;DR:** Coffee Roast Log is a utilities app by Theodore Hopkins, available on iOS. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Coffee Roast Log is a utilities app by Theodore Hopkins. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Utilities | | **Developer** | Theodore Hopkins | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.05/1.0) | | **Data Age** | 0d | ## Metadata & Market Performance - **Publisher:** Theodore Hopkins - **Category:** Utilities - **Target Audience:** Home coffee roasters who need to document roasting parameters and flavor results to refine their technique. - **Platforms:** iOS - **Version Audited:** 1.0 - **Audit Date:** 2026-05-13 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.05/1.0) - **App Store ID (iOS):** 6761372156 - **Bundle ID:** com.c31offeeRoa32stLog - **Performance Trend:** Mixed - **Data Window:** Analysis based on signals collected up to 2026-05-13 ## Executive Snapshot **What it is:** Coffee Roast Log is a free utility for home coffee roasters to document roast profiles and flavor results on iOS. **Why users hire it:** Users hire this app to refine roasting techniques through data-driven documentation, serving the need for consistency in a high-variability hobby. ## App DNA (Features & Intent) - **[Differentiator] Roasting Journal:** Records specific parameters including time to first crack, total duration, and temperature - **[Standard] Roast Batch Management:** Logs bean origin, roast weight, and roast date for individual batches - **[Standard] Flavor Evaluation:** Categorizes taste profiles as acidic, balanced, or bitter with custom tasting notes * *User Intent:* Users value self-expression and personalized experiences. - **[Standard] Batch Status Tracking:** Monitors lifecycle stages including resting, in use, finished, or unsuccessful * *User Intent:* Users want visibility into their own performance and progress. ## Market Position {#market-position} Coffee Roast Log operates as a specialized, free-to-use data logging utility in the Utilities category. The absence of a monetization model suggests a focus on user acquisition over immediate revenue generation. ## Monetization Strategy - **Model:** Free - **Tiers:** Free - **Analysis:** The app is currently offered as a free utility with no visible monetization or subscription gates. ## SWOT Analysis {#swot} **Core Strengths:** - Specialized technical parameter tracking for roasting - Focused interface for data-driven hobbyists - Zero-friction entry via free model **Critical Frictions:** - No community feedback loops - Manual data entry requirement - Lack of automated timing or sensor integration **Growth Levers:** - Integration with smart roasting hardware - B2B partnerships with green coffee bean suppliers - Wearable integration for real-time alerts **Market Threats:** - Social-first competitors siphoning power users - Static recipe apps reducing manual logging need - Hardware-connected apps automating data collection ## Recent Changes (v2 → v3) {#recent-changes} The competitive focus shifted from hardware-centric rivals to social-sharing platforms, prompting a pivot in PM action items toward community features and sensor-based automation. **Overall trend**: Mixed **Compared at**: 2026-05-13 ### High-impact changes - **[Shifted] Primary Nemesis Update** (positioning) — The primary competitive threat shifted from Beanconqueror to Optimal Coffee Notes, emphasizing social validation over hardware connectivity. - **[Shifted] PM Action Item Pivot** (positioning) — Priorities shifted from general hardware connectivity to community-driven roast sharing and automated sensor integration. ### Medium-impact changes - **[Added] Expanded SWOT Analysis** (swot) — Added new threats (social-first competitors, static recipe apps) and strengths (zero-friction entry via free model). - **[Added] Feature Gap Identification** (features) — Added specific gaps for social profile sharing, automated brew mapping, and smart brewing timers. ## Rivals Landscape {#rivals} > Competitive positioning identified by AI analysis of app features, category, and market signals. ### Coffee Roast Log vs Optimal Coffee Notes — Head to Head - **[Optimal Coffee Notes](https://marlvel.ai/intel-report/food-drink/optimal-coffee-notes)** by Andrew Daniels: This app directly competes by offering a structured journal for coffee enthusiasts to track brewing and roasting variables, mirroring the target's core value proposition of data-driven flavor improvement. - **Key differences:** - Includes built-in social sharing features that allow users to compare roast profiles with a community. - Provides advanced brew mapping tools that visualize flavor extraction beyond simple roasting temperature logs. - Leverages a more mature user base with established review history, creating a stronger social proof barrier. - **Where Coffee Roast Log wins:** - ✅ Focuses specifically on the roasting process rather than general brewing, offering deeper technical parameter tracking. - ✅ Provides a more specialized interface for home roasters who need to monitor precise temperature and timing. - **Where Optimal Coffee Notes wins:** - ❌ Offers social interaction and community-driven insights that help users validate their roasting results. - ❌ Features a more polished, multi-functional journal that covers the entire coffee lifecycle from bean to cup. - **Verdict:** The target should prioritize adding community-based feedback loops or social sharing to prevent users from migrating to more connected platforms. ### Peers (What They Do Better) - **[Sharetea USA](https://marlvel.ai/intel-report/food-drink/sharetea-usa)** by Chowbus, Inc.: This app occupies the same category and competes for the user's engagement within the broader coffee and tea consumption ecosystem. - Utilizes a robust loyalty program and app-exclusive offers to drive high retention and frequent user interaction. - Focuses on the commercial ordering experience, providing a stark contrast to the target's DIY roasting utility. - **[Coffee Recipes - Best Coffee Recipes](https://marlvel.ai/intel-report/food-drink/coffee-recipes-best-coffee-recipes)** by BB Apps S.R.L: This app competes for the attention of coffee hobbyists looking to improve their results through structured recipe management. - Offers a static recipe library that provides immediate value without requiring the user to input data. - Supports offline storage of high-resolution artwork, catering to users who prioritize visual inspiration over technical logging. - **[Tea Master - Brewing Timer](https://marlvel.ai/intel-report/food-drink/tea-master-brewing-timer)** by Davyd Hruts: This app shares the niche of precision beverage preparation, targeting users who care about the technical aspects of brewing and flavor extraction. - Features a dedicated smart brewing timer that automates the timing aspect of the user's workflow. - Includes a curated tea library that provides standardized profiles, contrasting with the target's manual roasting logs. - **[Dingtea Downtown](https://marlvel.ai/intel-report/food-drink/dingtea-downtown)** by PEBLLA, INC: While focused on retail tea ordering, it competes for the same 'Food & Drink' category attention and user time spent managing beverage preferences. - Integrates real-time order tracking and loyalty rewards, which are absent in the target's roasting-focused utility. - Provides a transactional interface for purchasing beverages, whereas the target is strictly a data logging tool. ### New Kids on the Block (What's Innovative) - **[Sourflow: Sourdough Tracker](https://marlvel.ai/intel-report/food-drink/app-rork-sourdough-tracker-e1ljvgj)** by stefano imparato: It competes for the 'hobbyist data logger' market, specifically targeting users who track complex, time-sensitive fermentation processes. - Provides a comprehensive analytics dashboard and guided session logbook that simplifies complex, multi-stage production workflows. - **[Fermently](https://marlvel.ai/intel-report/food-drink/fermently)** by Theo Rolino: This newcomer targets the same 'maker' demographic by applying scientific data visualization to home-based food and beverage production. - Implements advanced scientific data visualization for batch tracking that could easily be adapted for coffee roasting. ## App Momentum (Maintenance) {#momentum} - Released initial version April 2026. - Maintains zero-monetization free utility model. > **Cadence:** 1 total versions · 0 majors in last 6 months · 33 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Coffee Roast Log is an established utilities app that is completely free. > **Bottom Line:** Coffee Roast Log provides a solid technical foundation for roasters, but its lack of social features makes it a target for more connected competitors, so the PM should prioritize community-driven feedback loops to secure the user base. **Best for:** Home coffee roasters who need to document roasting parameters and flavor results to refine their technique. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] [HIGH IMPACT] Ship community-driven roast profile sharing because users migrate to platforms with social validation → increase user retention — *Optimal Coffee Notes uses social sharing to create a stronger barrier to entry.* _(trade-off: deprioritize Pause development of new flavor evaluation categories — community features have higher retention impact.)_ - [ ] [PIVOT] [HIGH IMPACT] Pivot from manual logging to automated sensor integration because manual entry is the primary friction point → reduce churn — *Competitors like Tea Master automate timing, making manual logging feel outdated.* _(trade-off: deprioritize Deprioritize UI polish on the batch status screen — sensor integration is a higher-value differentiator.)_ ### Feature Gaps vs Competitors - Social profile sharing (available in Optimal Coffee Notes) - Automated brew mapping (available in Optimal Coffee Notes) - Smart brewing timer (available in Tea Master) ### Outlook: Stable The home-roasting utility market is shifting toward integrated lifecycle management where data logging is secondary to community validation. Coffee Roast Log remains exposed to churn unless it evolves from a static journal into a connected platform, so the PM must prioritize social features to prevent migration to more connected alternatives. - ⚪ The app launched recently as a free utility, establishing a baseline for technical documentation without yet proving a sustainable retention model. - 🔴 The absence of social features creates a competitive disadvantage against rivals that use community-driven insights to validate user roasting results. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 4 analyzed | | Trend | Mixed | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Coffee Roast Log** (this app) | N/A/5 | N/A | Theodore Hopkins | | [Sourflow: Sourdough Tracker](https://marlvel.ai/intel-report/food-drink/app-rork-sourdough-tracker-e1ljvgj) | N/A/5 | N/A | stefano imparato | | [Fermently](https://marlvel.ai/intel-report/food-drink/fermently) | N/A/5 | N/A | Theo Rolino | | [Tea Master - Brewing Timer](https://marlvel.ai/intel-report/food-drink/tea-master-brewing-timer) | 3.0/5 | N/A | Davyd Hruts | | [Sharetea USA](https://marlvel.ai/intel-report/food-drink/sharetea-usa) | 4.2/5 | Mixed | Chowbus, Inc. | | [Optimal Coffee Notes](https://marlvel.ai/intel-report/food-drink/optimal-coffee-notes) | 5.0/5 | N/A | Andrew Daniels | ## Company Profile - **Developer:** Theodore Hopkins ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/coffee-roast-log/id6761372156?uo=4) - **Sources:** App store metadata. ## Related Intel Reports - [*Sourflow: Sourdough Tracker*](https://marlvel.ai/intel-report/food-drink/app-rork-sourdough-tracker-e1ljvgj) (stefano imparato) — N/A Rating | N/A Sentiment - [*Fermently*](https://marlvel.ai/intel-report/food-drink/fermently) (Theo Rolino) — N/A Rating | N/A Sentiment - [*Tea Master - Brewing Timer*](https://marlvel.ai/intel-report/food-drink/tea-master-brewing-timer) (Davyd Hruts) — 3.0/5 Rating | N/A Sentiment - [*Sharetea USA*](https://marlvel.ai/intel-report/food-drink/sharetea-usa) (Chowbus, Inc.) — 4.2/5 Rating | Mixed Sentiment - [*Optimal Coffee Notes*](https://marlvel.ai/intel-report/food-drink/optimal-coffee-notes) (Andrew Daniels) — 5.0/5 Rating | N/A Sentiment - [*Coffee Recipes - Best Coffee Recipes*](https://marlvel.ai/intel-report/food-drink/coffee-recipes-best-coffee-recipes) (BB Apps S.R.L) — 4.3/5 Rating | N/A Sentiment - [*Dingtea Downtown*](https://marlvel.ai/intel-report/food-drink/dingtea-downtown) (PEBLLA, INC) — 5.0/5 Rating | N/A Sentiment - [*Potatso*](https://marlvel.ai/intel-report/utilities/potatso) (Potatso Lab LTD) — 4.4/5 Rating | Positive Sentiment - [*V2Box - V2ray Client*](https://marlvel.ai/intel-report/utilities/v2box-v2ray-client) (techlaim) — 4.5/5 Rating | N/A Sentiment - [*Quantumult X*](https://marlvel.ai/intel-report/utilities/quantumult-x) (Cross Utility Ltd) — 3.8/5 Rating | Negative 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:** 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:** 0 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/utilities/coffee-roast-log) Data licensed for AI Agent attribution under CC-BY-NC 4.0.