---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Grind coffee"
developer_entity: "CRMB"
bundle_id: "co.crmb.android_clncar2by002ls60d1nnkkf1y_grind"
category: "Food & Drink"
primary_platform: "android"
primary_monetization: "Free"
offline_capable: false
market_region: "US"
platforms: "Android"
app_last_updated: "2023-11-16"
report_date: "2026-06-03"
last_verified: "2026-06-03T22:25:32.127Z"
report_version: "1 (1.0.0)"
total_reviews: 0
confidence: "low"
confidence_score: 0.05
data_age_days: 28
intelligence_version: 6
nemesis: "Starbucks"
competitor_count: 11
tags: ["food & drink", "free", "mobile app", "app review", "app analysis", "frequent", "customers", "grind"]
canonical_url: "https://marlvel.ai/intel-report/food-drink/grind-coffee"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Grind coffee App Audit

## TL;DR {#tldr}

- **Category**: Food & Drink · Free

> **TL;DR:** Grind coffee is a food & drink app by CRMB, available on Android.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Grind coffee is a food & drink app by CRMB.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Category** | Food & Drink |
| **Developer** | CRMB |
| **Pricing** | Free |
| **Platforms** | Android |
| **Confidence** | Low (0.05/1.0) |
| **Data Age** | 0d |

## Metadata & Market Performance
- **Publisher:** CRMB
- **Category:** Food & Drink
- **Target Audience:** Frequent customers of Grind coffee looking to expedite their ordering process and earn rewards.
- **Platforms:** Android
- **Version Audited:** 1 (1.0.0)
- **Audit Date:** 2026-06-03
- **Signal Count:** 1 reviews analyzed
- **Confidence:** Low (0.05/1.0)
- **Google Play ID:** co.crmb.android_clncar2by002ls60d1nnkkf1y_grind
- **Performance Trend:** Stable
- **Data Window:** Analysis based on signals collected up to 2026-06-03
- **Short Description:** Freshly-roasted coffee

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Grind Coffee is a mobile ordering app for coffee enthusiasts, allowing users to skip lines and track orders on iOS and Android.
**Why users hire it:** Users hire this app to minimize physical wait times and manage repeat coffee purchases, replacing manual ordering with a digital queue.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] Mobile Ordering:** Allows users to place orders directly through their mobile device with minimal interaction.
- **[Standard] Skip the Line:** Provides a mechanism to bypass physical queues for faster service.
  * *User Intent:* Users seek enhanced value through premium features.
- **[Standard] Loyalty Program:** Enables users to earn points toward complimentary food items.
  * *User Intent:* Users seek enhanced value through premium features.
- **[Standard] Order Tracking:** Offers real-time notifications on order status and maintains a history of past purchases.
  * *User Intent:* Users want timely prompts to stay engaged without missing updates.
<!-- /section:features -->

<!-- section:market-position -->
## Market Position {#market-position}

Grind Coffee operates as a niche utility within the Food & Drink category, currently lacking the rating volume or chart presence to compete with major chains.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Free
- **Analysis:** The app operates on a free model with no visible premium tiers, relying on loyalty-based retention rather than direct monetization.

<!-- section:swot -->
## SWOT Analysis {#swot}

**Core Strengths:**
- Minimalist interface reduces friction for repeat orders
- Real-time notification system keeps users engaged during preparation

**Critical Frictions:**
- Zero rating count on Android platform
- Lack of gamified loyalty tiers limits long-term retention

**Growth Levers:**
- Integration of social gallery features to build community
- Subscription-based models to secure recurring revenue

**Market Threats:**
- Starbucks' predictive ordering reduces wait times beyond current capabilities
- New entrants with subscription models threaten to capture recurring coffee spend

<!-- /section:swot -->
## Recent Changes (v5 → v6) {#recent-changes}

The competitive assessment moved to a stable outlook, pivoting from a focus on feature-parity with local rivals to a differentiation strategy against major chains like Starbucks.

**Overall trend**: Stable
**Compared at**: 2026-06-03

### High-impact changes
- **[Shifted] Contrarian Take Pivot** (positioning) — Positioning shifted from viewing minimalist design as a liability to identifying it as an artisanal advantage that avoids corporate bloat.
- **[Shifted] Outlook Trend** (positioning) — Outlook trend moved from 'mixed' to 'stable' following the adoption of a maintenance-mode operational stance.

### Medium-impact changes
- **[Added] New Competitive Threats** (swot) — Added threats regarding Starbucks' predictive ordering capabilities and new entrants utilizing subscription-based revenue models.
- **[Added] New Strategic Opportunities** (swot) — Added opportunities for subscription-based revenue models and social gallery integration.
- **[Shifted] Primary Nemesis Update** (positioning) — Primary nemesis changed from Joe Coffee Company to Starbucks, reflecting a shift in the benchmark for mobile order-ahead standards.

<!-- section:rivals -->
## Rivals Landscape {#rivals}

> Competitive positioning identified by AI analysis of app features, category, and market signals.

### Grind coffee vs Starbucks — Head to Head
- **[Starbucks](https://marlvel.ai/intel-report/food-drink/starbucks)** by Starbucks Coffee Company: Starbucks represents the industry standard for mobile order-ahead and loyalty, directly competing for the same daily coffee-purchasing habit as Grind coffee.
  - **Key differences:**
    - Massive global loyalty ecosystem creates high switching costs that smaller coffee apps struggle to replicate.
    - Deeply integrated mobile order and pay infrastructure provides a frictionless experience at thousands of locations.
    - Hyper-personalized marketing engine leverages massive user data to drive repeat visits and daily engagement.
  - **Where Grind coffee wins:**
    - ✅ Offers a more focused, streamlined interface that avoids the bloat of a massive corporate rewards platform.
    - ✅ Potential for a more artisanal, niche brand positioning that appeals to specialty coffee enthusiasts.
  - **Where Starbucks wins:**
    - ❌ Unmatched physical footprint ensures the app is useful in almost any urban or suburban location.
    - ❌ Advanced predictive ordering and payment features significantly reduce wait times compared to smaller competitors.
  - **Verdict:** Grind coffee should avoid a feature-for-feature war and instead focus on hyper-local community engagement and a superior, less cluttered UX.

### Contenders (Strong Challengers)
- **[Kopi Kenangan Indonesia](https://marlvel.ai/intel-report/food-drink/kopi-kenangan-indonesia)** by PT.Bumi Berkah Boga: This app serves as a direct competitor in the mobile-ordering space, focusing on deep customization and membership-based rewards.
  - Advanced order customization options allow users to tailor their beverages exactly to their personal preferences.
  - Hearts Points membership system provides a gamified loyalty experience that encourages long-term platform retention.
- **[Sharetea USA](https://marlvel.ai/intel-report/food-drink/sharetea-usa)** by Chowbus, Inc.: Sharetea competes by utilizing a branded ordering platform that prioritizes app-exclusive offers to drive customer retention.
  - Aggressive use of app-exclusive offers creates a strong financial incentive for users to order digitally.
  - Integrated loyalty program simplifies the reward redemption process directly within the mobile checkout flow.
- **[Up Coffee Official](https://marlvel.ai/intel-report/food-drink/up-coffee-official)** by Fairwave Holdings LLC: Up Coffee competes for the same customer base by emphasizing loyalty programs and mobile order-ahead functionality for multi-unit coffee operations.
  - Leverages multi-unit guest insights to provide a more tailored experience across different cafe locations.
  - Club Green loyalty program creates a structured incentive layer that encourages frequent, recurring customer visits.
- **[Dingtea Downtown](https://marlvel.ai/intel-report/food-drink/dingtea-downtown)** by PEBLLA, INC: This app competes by offering a similar mobile-first ordering experience focused on convenience and real-time tracking for beverage pickup.
  - Includes a social gallery feature that builds community engagement beyond simple transactional coffee ordering.
  - Provides granular real-time order tracking that keeps users informed throughout the entire preparation process.

### Peers (What They Do Better)
- **[Coffee Map Guide](https://marlvel.ai/intel-report/food-drink/coffee-map-guide)** by RUSTAM MOTYGULLIN: This app competes for the attention of coffee drinkers by helping them discover and navigate to local coffee shops.
  - Curated coffee map database helps users discover high-quality local shops rather than just large chains.
  - Integrated check-in and offer system bridges the gap between digital discovery and physical store visits.
- **[Dark Roast for Coffee Lovers](https://marlvel.ai/intel-report/food-drink/dark-roast-for-coffee-lovers)** by Bart Jacobs: This app targets the same audience of coffee lovers by providing tools for inventory management and roasting logs.
  - CloudKit integration ensures seamless data synchronization across multiple devices for serious home coffee roasters.
  - Detailed roasting logs and bean ratings provide a professional-grade toolset for tracking coffee quality.
- **[Costa Coffee Club Cyprus](https://marlvel.ai/intel-report/food-drink/costa-coffee-club-cyprus)** by CRM.COM Ltd: This app operates in the same food and drink category, focusing on loyalty rewards and status tracking for coffee consumers.
  - Cashback-based loyalty model offers immediate, tangible value compared to traditional point-based reward systems.
  - Gold status tracking provides a clear gamification path that encourages high-frequency spending and brand loyalty.
- **[Tea Master - Brewing Timer](https://marlvel.ai/intel-report/food-drink/tea-master-brewing-timer)** by Davyd Hruts: While focused on brewing rather than ordering, this app targets the same coffee and tea enthusiast demographic.
  - Specialized brewing library and custom profiles cater to the technical needs of home-brewing coffee enthusiasts.
  - Smart timer functionality provides utility that keeps users engaged with the app during the brewing process.

### New Kids on the Block (What's Innovative)
- **[Brewly](https://marlvel.ai/intel-report/food-drink/brewly)** by Brewly: A new competitor in the food and drink space focusing on subscription-based models to secure recurring coffee revenue.
  - Cafe subscription plans create a recurring revenue model that differentiates it from standard transactional apps.
- **[Coffee Roast Log](https://marlvel.ai/intel-report/utilities/coffee-roast-log)** by Theodore Hopkins: A new entrant targeting the niche coffee enthusiast market with tools for tracking roasting batches and flavor profiles.
  - Dedicated roasting journal and batch status tracking provide specialized utility for home-roasting hobbyists.

<!-- /section:rivals -->
<!-- section:momentum -->
## App Momentum (Steady) {#momentum}

- Released initial Android build Oct 2023.
- Maintained stable feature set since launch.

<!-- /section:momentum -->

<!-- section:so-what -->
## The "So What?" (Strategic Takeaway) {#so-what}

Grind coffee is an established food & drink app that is completely free.

<!-- speakable-start -->
> **Bottom Line:** Grind Coffee provides a functional ordering utility, but it lacks the loyalty mechanics to compete with major chains, so the PM should prioritize gamified retention to secure daily habits.
<!-- speakable-end -->

**Best for:** Frequent customers of Grind coffee looking to expedite their ordering process and earn rewards.

<!-- section:pm-actions -->
### PM Action Plan (Next Best Moves)

- [ ] [INVEST] [HIGH IMPACT] Ship gamified loyalty tiers because current points-based rewards lack long-term retention hooks → increase repeat purchase frequency. — *Competitors like Kopi Kenangan use gamified membership systems to secure long-term retention.* _(trade-off: deprioritize Pause the social gallery feature development — loyalty mechanics have a higher direct impact on revenue.)_
<!-- /section:pm-actions -->

<!-- section:feature-gaps -->
### Feature Gaps vs Competitors

- Gamified membership tiers (available in Kopi Kenangan Indonesia but absent here)
- Social gallery features (available in Dingtea Downtown but absent here)
<!-- /section:feature-gaps -->

<!-- section:outlook -->
### Outlook: Stable

The mobile-ordering market is consolidating around platforms that offer high-frequency gamification and deep personalization. Grind Coffee's current utility-first approach leaves it exposed to churn, so the team must shift toward active retention mechanics to prevent user migration to more feature-rich competitors.

- ⚪ The app remains in a maintenance-mode state since the late 2023 release, suggesting a focus on stability over aggressive feature expansion.
<!-- /section:outlook -->

<!-- /section:so-what -->

<!-- section:metrics -->
## Key Metrics Summary

| Metric | Value |
| :--- | :--- |
| Total Reviews | 0 |
| Confidence | Low |
| Pricing Model | Free |
| Platforms | Android |
| Key Features | 4 analyzed |
| Trend | Stable |
| Outlook | Stable |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Grind coffee** (this app) | N/A/5 | N/A | CRMB |
| [Starbucks](https://marlvel.ai/intel-report/food-drink/starbucks) | 4.9/5 | Mixed | Starbucks Coffee Company |
| [Dark Roast for Coffee Lovers](https://marlvel.ai/intel-report/food-drink/dark-roast-for-coffee-lovers) | 4.0/5 | N/A | Bart Jacobs |
| [Tea Master - Brewing Timer](https://marlvel.ai/intel-report/food-drink/tea-master-brewing-timer) | 3.0/5 | Mixed | Davyd Hruts |
| [Sharetea USA](https://marlvel.ai/intel-report/food-drink/sharetea-usa) | 4.2/5 | Mixed | Chowbus, Inc. |
| [Dingtea Downtown](https://marlvel.ai/intel-report/food-drink/dingtea-downtown) | 5.0/5 | N/A | PEBLLA, INC |

## Company Profile
- **Developer:** CRMB
- **Website:** [https://crmb.co/](https://crmb.co/)

## Data Sources & Links
- **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=co.crmb.android_clncar2by002ls60d1nnkkf1y_grind&hl=en&gl=us)
- **Dev Site:** [Official Website](https://crmb.co/)
- **Sources:** App store metadata.

## Related Intel Reports
- [*Starbucks*](https://marlvel.ai/intel-report/food-drink/starbucks) (Starbucks Coffee Company) — 4.9/5 Rating | Mixed Sentiment
- [*Dark Roast for Coffee Lovers*](https://marlvel.ai/intel-report/food-drink/dark-roast-for-coffee-lovers) (Bart Jacobs) — 4.0/5 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 | Mixed Sentiment
- [*Sharetea USA*](https://marlvel.ai/intel-report/food-drink/sharetea-usa) (Chowbus, Inc.) — 4.2/5 Rating | Mixed 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
- [*Up Coffee Official*](https://marlvel.ai/intel-report/food-drink/up-coffee-official) (Fairwave Holdings LLC) — 3.7/5 Rating | N/A Sentiment
- [*Kopi Kenangan Indonesia*](https://marlvel.ai/intel-report/food-drink/kopi-kenangan-indonesia) (PT.Bumi Berkah Boga) — 4.7/5 Rating | Mixed Sentiment
- [*Costa Coffee Club Cyprus*](https://marlvel.ai/intel-report/food-drink/costa-coffee-club-cyprus) (CRM.COM Ltd) — 4.0/5 Rating | Terrible 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:** 1
- **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/food-drink/grind-coffee)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.