--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Coffee Map Guide" developer_entity: "RUSTAM MOTYGULLIN" bundle_id: "mrusta.coffeeMap" app_store_id: "1396261115" google_play_id: "com.typingtiming.CoffeeMap" category: "Food & Drink" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2026-04-15" report_date: "2026-05-20" last_verified: "2026-05-20T22:47:33.869Z" report_version: "4.0.5" total_reviews: 10 overall_rating: 5 confidence: "low" confidence_score: 0.2 data_age_days: 14 momentum_velocity: "maintenance" intelligence_version: 6 nemesis: "Coffee Recipes - Best Coffee Recipes" competitor_count: 8 tags: ["food & drink", "free", "mobile app", "app review", "app analysis", "coffee", "enthusiasts", "urban"] canonical_url: "https://marlvel.ai/intel-report/food-drink/coffee-map-guide" license: "CC-BY-NC 4.0" content_version: "v2" --- # Coffee Map Guide App Audit ## TL;DR {#tldr} - **Category**: Food & Drink · Free - **Signal**: Rating 5 > **TL;DR:** Coffee Map Guide is a food & drink app by RUSTAM MOTYGULLIN, rated 5/5 by 10 users, available on iOS & Android. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Coffee Map Guide is a food & drink app by RUSTAM MOTYGULLIN. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 5/5 (10 reviews) | | **Category** | Food & Drink | | **Developer** | RUSTAM MOTYGULLIN | | **Pricing** | Free | | **Platforms** | iOS & Android | | **Confidence** | Low (0.2/1.0) | | **Data Age** | 0d | ## Metadata & Market Performance - **Publisher:** RUSTAM MOTYGULLIN - **Category:** Food & Drink - **Target Audience:** Coffee enthusiasts and urban explorers looking for specialty coffee shops and local cafe recommendations. - **Platforms:** iOS & Android - **Version Audited:** 4.0.5 - **Audit Date:** 2026-05-20 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.2/1.0) - **App Store ID (iOS):** 1396261115 - **Bundle ID:** mrusta.coffeeMap - **Google Play ID:** com.typingtiming.CoffeeMap - **Performance Trend:** Mixed - **Data Window:** Analysis based on signals collected up to 2026-05-20 - **Short Description:** Discover and find the best coffee shops around you with Coffee Map. ## Executive Snapshot **What it is:** Coffee Map Guide is a location-based discovery app for specialty coffee shops in Europe, available on iOS and Android. **Why users hire it:** Users hire this app to find high-quality coffee shops that meet specific pricing and roaster criteria, bypassing the noise of generic search engines. ## App DNA (Features & Intent) - **[Differentiator] Curated Coffee Map:** Interactive map displaying 300 coffee shops with roaster details and pricing. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Differentiator] Check-in and Offers:** User check-in functionality at affiliated coffee shops to access exclusive menus and discounts. - **[Standard] Route Navigation:** Distance calculation and turn-by-turn routing to selected coffee shops. ## Market Position {#market-position} Coffee Map Guide maintains a niche position in the Food & Drink category as a curated discovery tool. The lack of recent feature updates relative to the competitive landscape signals a maintenance-mode posture. ## Monetization Strategy - **Model:** Free - **Tiers:** Free access to all map features and shop data - **Analysis:** The app operates as a free utility, likely serving as a lead generation or marketing tool for the developer's broader technology services. ## SWOT Analysis {#swot} **Core Strengths:** - Editorial curation of 300 specialty coffee points provides high-intent discovery for urban explorers **Critical Frictions:** - Static data model requires manual updates, creating a content freshness gap **Growth Levers:** - Integration of user-generated reviews could transition the app to a dynamic community platform **Market Threats:** - Real-time discovery platforms with automated data ingestion render manual guides obsolete ## Recent Changes (v5 → v6) {#recent-changes} The app's strategic direction shifted from loyalty-focused retention to a potential pivot toward user-generated content to mitigate the scaling risks of manual curation. **Overall trend**: Mixed **Compared at**: 2026-05-20 ### High-impact changes - **[Shifted] Strategic Pivot to User-Generated Content** (positioning) — PM action items shifted from implementing loyalty check-in rewards to prioritizing a pivot toward user-generated content to solve the manual curation scaling bottleneck. - **[] SWOT Analysis Refinement** (swot) — Strengths and weaknesses were re-framed to highlight the content freshness gap caused by the static data model, replacing previous focus on B2B distribution barriers. ### Medium-impact changes - **[] Executive Summary Tone** (positioning) — The narrative shifted from highlighting the app as a 'high-utility' tool to identifying it as a 'vulnerable' platform facing obsolescence against automated discovery. ## Rivals Landscape {#rivals} > Competitive positioning identified by AI analysis of app features, category, and market signals. ### Coffee Map Guide vs Coffee Recipes - Best Coffee Recipes — Head to Head - **[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 directly for the attention of coffee enthusiasts by providing educational content, though it focuses on home preparation rather than location discovery. - **Key differences:** - Offers a dedicated offline recipe library which provides value even without an active internet connection - Features high-resolution artwork that creates a more premium visual experience for home brewing enthusiasts - **Where Coffee Map Guide wins:** - ✅ Provides real-world utility through location-based mapping of cafes and restaurants - ✅ Offers dynamic, location-aware data that is more relevant for daily coffee consumption - **Where Coffee Recipes - Best Coffee Recipes wins:** - ❌ Focuses on evergreen educational content that does not require frequent data updates - ❌ Provides specific brewing instructions that add value to the user's home coffee routine - **Verdict:** The target should lean into its location-based utility and community data, as the nemesis is stagnant and lacks modern mapping features. ### Contenders (Strong Challengers) - **[Coffee Culture Manitoba](https://marlvel.ai/intel-report/food-drink/coffee-culture-manitoba)** by Givex Canada Corp.: This app competes by offering a branded digital experience for a specific coffee chain, overlapping with the target's goal of facilitating coffee shop interactions. - Provides a dedicated beverage menu and food selection tailored to a specific retail chain - Supports all-day availability features which streamline the ordering process for loyal retail customers ### Peers (What They Do Better) - **[Optimal Coffee Notes](https://marlvel.ai/intel-report/food-drink/optimal-coffee-notes)** by Andrew Daniels: This app targets the same niche of coffee enthusiasts interested in documenting and mapping their coffee experiences. - Offers a specialized brew journal for tracking specific coffee preparation methods and results - Includes brew mapping functionality that helps users visualize their coffee extraction process - **[Dingtea Downtown](https://marlvel.ai/intel-report/food-drink/dingtea-downtown)** by PEBLLA, INC: This app serves the same local discovery and ordering use case, specifically targeting users looking for immediate beverage fulfillment. - Provides real-time order tracking to keep customers informed throughout the entire fulfillment process - Includes a social gallery feature that allows users to share their beverage experiences visually - **[Sharetea USA](https://marlvel.ai/intel-report/food-drink/sharetea-usa)** by Chowbus, Inc.: This app competes for the same 'on-the-go' beverage consumer by prioritizing transactional convenience and loyalty rewards. - Integrates a direct order-ahead workflow that reduces wait times for busy mobile users - Utilizes a structured loyalty program to incentivize repeat visits and increase customer lifetime value - **[Tasting Grounds](https://marlvel.ai/intel-report/food-drink/tasting-grounds)** by Tasting Grounds, LLC: Both apps aim to enhance the coffee experience, with Tasting Grounds focusing on the analytical side of brewing and community engagement. - Includes a robust brew logging system that tracks variables for professional-grade coffee analysis - Features a community sharing platform that encourages user interaction and social coffee discovery ### New Kids on the Block (What's Innovative) - **[Brewly](https://marlvel.ai/intel-report/food-drink/brewly)** by Brewly: Brewly enters the market with a focus on subscription-based coffee consumption, challenging the target's discovery-first model. - Implements a subscription-based model with swipe-to-redeem functionality for seamless in-cafe beverage access - **[Coffee Roast Log](https://marlvel.ai/intel-report/utilities/coffee-roast-log)** by Theodore Hopkins: This newcomer targets the professional or hobbyist roaster segment, expanding the definition of coffee-related utility apps. - Provides granular batch management and flavor evaluation tools for serious coffee roasting professionals ## What's New - **Latest (v2.0, 5 years ago):** Introduced a new design, dark mode, and additional filtering options. ## App Momentum (Maintenance) {#momentum} - Ships infrequent updates for stability. - Maintains static 300-shop database. > **Cadence:** 5 total versions · 2 majors in last 6 months · 35 days since last update · 139 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} Coffee Map Guide is an established food & drink app that is completely free. With a 5/5 rating from 10 reviews, it shows polarized user reception. > **Bottom Line:** Coffee Map Guide provides high-intent discovery for coffee enthusiasts, but its manual curation model is a liability against real-time competitors, so the PM should pivot to user-generated content to ensure long-term data freshness. **Best for:** Coffee enthusiasts and urban explorers looking for specialty coffee shops and local cafe recommendations. ### PM Action Plan (Next Best Moves) - [ ] [PIVOT] [HIGH IMPACT] Pivot to user-generated content because manual curation is a scaling bottleneck → increase content freshness — *The current static 300-shop list cannot compete with real-time discovery platforms like Google Maps.* _(trade-off: deprioritize Pause the roaster-detail verification sprint — community moderation is higher yield.)_ ### Feature Gaps vs Competitors - User-generated reviews (available in Tasting Grounds but absent here) - Real-time order tracking (available in Dingtea Downtown but absent here) - Brew logging system (available in Tasting Grounds but absent here) ### Outlook: Stable The market for coffee discovery is consolidating around automated, real-time platforms that prioritize scale and user-generated data. Coffee Map Guide remains exposed due to its manual, static model, so the PM must decide whether to transition to a community-driven platform or accept a niche, maintenance-only future. - ⚪ The app maintains a stable, curated database, but the lack of recent feature expansion suggests a focus on maintenance over growth. - 🔴 The absence of user-generated content limits the app's ability to scale, which compounds the risk of obsolescence against automated discovery platforms. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 5/5 | | Total Reviews | 10 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS & Android | | Key Features | 3 analyzed | | Trend | Mixed | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Coffee Map Guide** (this app) | 5/5 | N/A | RUSTAM MOTYGULLIN | | [Coffee Culture Manitoba](https://marlvel.ai/intel-report/food-drink/coffee-culture-manitoba) | N/A/5 | N/A | Givex Canada Corp. | | [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 | Excited | Andrew Daniels | | [Coffee Recipes - Best Coffee Recipes](https://marlvel.ai/intel-report/food-drink/coffee-recipes-best-coffee-recipes) | 4.3/5 | N/A | BB Apps S.R.L | | [Dingtea Downtown](https://marlvel.ai/intel-report/food-drink/dingtea-downtown) | 5.0/5 | N/A | PEBLLA, INC | ## Company Profile - **Developer:** RUSTAM MOTYGULLIN - **Website:** [https://typingtiming.com.ar](https://typingtiming.com.ar) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/coffee-map-guide/id1396261115?uo=4) - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.typingtiming.CoffeeMap&hl=en&gl=us) - **Dev Site:** [Official Website](https://typingtiming.com.ar) - **Sources:** Developer website content, App store metadata. ## Related Intel Reports - [*Coffee Culture Manitoba*](https://marlvel.ai/intel-report/food-drink/coffee-culture-manitoba) (Givex Canada Corp.) — N/A 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 | Positive 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 - [*Coffee Roast Log*](https://marlvel.ai/intel-report/utilities/coffee-roast-log) (Theodore Hopkins) — N/A Rating | N/A Sentiment - [*Brewly*](https://marlvel.ai/intel-report/food-drink/brewly) (Brewly) — N/A Rating | N/A Sentiment - [*Tasting Grounds*](https://marlvel.ai/intel-report/food-drink/tasting-grounds) (Tasting Grounds, LLC) — 4.9/5 Rating | N/A Sentiment - [*Caviar - Order Food Delivery*](https://marlvel.ai/intel-report/food-drink/caviar-order-food-delivery) (Caviar, Inc.) — 4.7/5 Rating | Positive Sentiment - [*EatStreet Local Food Delivery*](https://marlvel.ai/intel-report/food-drink/eatstreet-local-food-delivery) (EatStreet) — 4.7/5 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:** 0.2/1.0 (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:** 0 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/food-drink/coffee-map-guide) Data licensed for AI Agent attribution under CC-BY-NC 4.0.