--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "iRock: Stone & Rock Identifier" developer_entity: "BerthX" bundle_id: "com.froggieslab.irock" app_store_id: "6764334548" category: "Reference" primary_platform: "ios" primary_monetization: "Freemium" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-05-01" report_date: "2026-05-16" last_verified: "2026-05-16T16:50:15.492Z" report_version: "1.4.1" total_reviews: 7 overall_rating: 4.57 confidence: "low" confidence_score: 0.35 data_age_days: 42 momentum_velocity: "zombie" intelligence_version: 4 competitor_count: 4 tags: ["reference", "freemium", "mobile app", "app review", "app analysis", "rock,", "mineral,", "gemstone"] canonical_url: "https://marlvel.ai/intel-report/reference/irock-stone-rock-identifier" license: "CC-BY-NC 4.0" content_version: "v2" --- # iRock: Stone & Rock Identifier App Audit ## TL;DR {#tldr} - **Category**: Reference · Freemium - **Signal**: Rating 4.57 > **TL;DR:** iRock: Stone & Rock Identifier is a reference app by BerthX, rated 4.57/5 by 7 users, available on iOS. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** iRock: Stone & Rock Identifier is a reference app by BerthX. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.57/5 (7 reviews) | | **Category** | Reference | | **Developer** | BerthX | | **Pricing** | Freemium | | **Platforms** | iOS | | **Confidence** | Low (0.35/1.0) | | **Data Age** | 0d | ## Metadata & Market Performance - **Publisher:** BerthX - **Category:** Reference - **Target Audience:** Rock, mineral, and gemstone enthusiasts looking to identify, catalog, and track the market value of their collections. - **Platforms:** iOS - **Version Audited:** 1.4.1 - **Audit Date:** 2026-05-16 - **Signal Count:** 1 reviews analyzed - **Confidence:** Low (0.35/1.0) - **App Store ID (iOS):** 6764334548 - **Bundle ID:** com.froggieslab.irock - **Performance Trend:** Stable - **Data Window:** Analysis based on signals collected up to 2026-05-16 ## Executive Snapshot **What it is:** iRock is a reference utility for iOS that uses AI to identify rocks, minerals, and gemstones and track their market value. **Why users hire it:** Collectors hire iRock to reduce the time spent on manual identification and to maintain a digital record of their collection's worth. ## App DNA (Features & Intent) - **[Differentiator] AI Rock Recognition:** Image-based identification of rocks, minerals, and gemstones using machine learning * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Differentiator] Market Value Estimation:** Provides price estimates for specimens based on comparable market activity * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Collection Tracking:** Digital organization tools to catalog and track the value of personal rock collections over time * *User Intent:* Users want visibility into their own performance and progress. ## Market Position {#market-position} iRock maintains a 4.57 rating on the iOS platform with 7 total ratings, indicating a small but satisfied early-adopter base. The lack of significant review volume suggests the app is still in the initial user acquisition phase. ## Monetization Strategy - **Model:** Freemium - **Tiers:** Free trial available, Paid subscription required for full content access - **Analysis:** Freemium model gates core identification and valuation features behind a subscription or time-limited trial. ## SWOT Analysis {#swot} **Core Strengths:** - AI-driven identification engine provides immediate utility for non-expert collectors - Digital collection tracking creates a persistent user database **Critical Frictions:** - Subscription-only access to core identification results creates a high barrier for casual users - Local-only storage limits cross-device accessibility **Growth Levers:** - Integration of professional-grade geological databases could provide a unique value layer - Wearable integration for field use remains untapped **Market Threats:** - Established hobbyist platforms with larger community-contributed databases can outpace iRock's AI accuracy - Frequent updates from specialized grading tools erode iRock's competitive edge ## Recent Changes (v3 → v4) {#recent-changes} The report transitioned from a qualitative competitive overview to one incorporating specific user rating metrics and expanded competitive feature benchmarking. **Overall trend**: Stable **Compared at**: 2026-05-16 ### Medium-impact changes - **[Added] Quantitative Market Anchoring** (positioning) — Market position narrative now cites specific performance metrics: 4.57 rating across 7 total reviews. - **[Added] Expanded Feature Gap Analysis** (features) — Added 'Detailed condition analysis algorithms' as a gap, benchmarking against Card Grading Tool TCG. ### Low-impact changes - **[Added] Wearable Integration Opportunity** (swot) — Added 'Wearable integration for field use' as a new potential growth vector in the SWOT analysis. ## App Momentum (Zombie) {#momentum} - Released May 2026 initial version. - Maintains steady update cadence. > **Cadence:** 1 total versions · 0 majors in last 6 months · 10 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} iRock: Stone & Rock Identifier is an established reference app that is free with in-app purchases. With a 4.57/5 rating from 7 reviews, it shows polarized user reception. > **Bottom Line:** iRock provides a functional AI identification tool, but its subscription-gated model risks alienating casual collectors who can access free community databases, so the PM should prioritize cloud-sync features to increase user switching costs. **Best for:** Rock, mineral, and gemstone enthusiasts looking to identify, catalog, and track the market value of their collections. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] [HIGH IMPACT] Migrate collection data to cloud storage because local-only storage limits user retention → increase cross-device usage — *Competitors like Well Logs offer cloud-based document management, creating a switching cost gap.* _(trade-off: deprioritize Pause the development of new AI model training sets for Q3.)_ ### Feature Gaps vs Competitors - Global set database for rarity context (available in Pokellector) - Cloud-based document management (available in Well Logs) - Detailed condition analysis algorithms (available in Card Grading Tool TCG) ### Outlook: Stable The reference utility market is consolidating around tools that offer both identification and community-driven rarity data. iRock remains exposed until it shifts from a local-only scanner to a persistent, cloud-synced collector platform. - ⚪ The app maintains a stable rating post-launch, but the low review count indicates limited market penetration and growth velocity. - 🔴 Competitors with more frequent update cadences and larger community databases threaten to outpace iRock's identification accuracy over time. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.57/5 | | Total Reviews | 7 | | Confidence | Low | | Pricing Model | Freemium | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Stable | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **iRock: Stone & Rock Identifier** (this app) | 4.57/5 | N/A | BerthX | | [ScanMaster for ELM327 OBD-2](https://marlvel.ai/intel-report/business/com-super-1) | 4.1/5 | Mixed | SMART Technologies GmBH | | [Card Grading Tool TCG](https://marlvel.ai/intel-report/reference/card-grading-tool-tcg) | 3.5/5 | N/A | Biographics Consultoria e Design LTDA | | [Well Logs](https://marlvel.ai/intel-report/business/well-logs) | 3.0/5 | N/A | Corporate Smalltalk Consulting Ltd | | [Pokellector: Card Collector](https://marlvel.ai/intel-report/reference/pokellector-card-collector) | 4.7/5 | Excited | Makazu Co | | [Hallow: Prayer & Meditation](https://marlvel.ai/intel-report/reference/hallow-prayer-meditation) | 4.7/5 | Frustrated | Hallow, Inc. | ## Company Profile - **Developer:** BerthX - **Website:** [https://berthx.io](https://berthx.io) - **Social:** [Instagram](https://www.instagram.com/berthx.io) · [LinkedIn](https://www.linkedin.com/company/berthx) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/irock-stone-rock-identifier/id6764334548?uo=4) - **Dev Site:** [Official Website](https://berthx.io) - **Sources:** Developer website content, App store metadata, User reviews. ## Related Intel Reports - [*ScanMaster for ELM327 OBD-2*](https://marlvel.ai/intel-report/business/com-super-1) (SMART Technologies GmBH) — 4.1/5 Rating | Mixed Sentiment - [*Card Grading Tool TCG*](https://marlvel.ai/intel-report/reference/card-grading-tool-tcg) (Biographics Consultoria e Design LTDA) — 3.5/5 Rating | N/A Sentiment - [*Well Logs*](https://marlvel.ai/intel-report/business/well-logs) (Corporate Smalltalk Consulting Ltd) — 3.0/5 Rating | N/A Sentiment - [*Pokellector: Card Collector*](https://marlvel.ai/intel-report/reference/pokellector-card-collector) (Makazu Co) — 4.7/5 Rating | Positive Sentiment - [*Hallow: Prayer & Meditation*](https://marlvel.ai/intel-report/reference/hallow-prayer-meditation) (Hallow, Inc.) — 4.7/5 Rating | Negative Sentiment - [*Islamic World - Ramadan 2026*](https://marlvel.ai/intel-report/reference/islamic-world-ramadan-2026) (AppAspect Technologies Pvt. Ltd.) — 4.7/5 Rating | N/A Sentiment - [*Phonecard Identifier*](https://marlvel.ai/intel-report/reference/phonecard-identifier) (Amir Wald) — 5.0/5 Rating | N/A Sentiment - [*LuckyGame - Video Game Tracker*](https://marlvel.ai/intel-report/reference/luckygame-video-game-tracker) (Stuck at Home, LLC) — 4.1/5 Rating | N/A Sentiment - [*LookUp: English Dictionary*](https://marlvel.ai/intel-report/reference/lookup-english-dictionary) (Squircle Apps LLP) — 4.7/5 Rating | N/A Sentiment - [*Antique Appraisal: ID Anything*](https://marlvel.ai/intel-report/reference/antique-appraisal-id-anything) (Dung Vu) — 5.0/5 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:** 0.35/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 1 - **Data Sources:** user reviews, 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/reference/irock-stone-rock-identifier) Data licensed for AI Agent attribution under CC-BY-NC 4.0.