iRock is a reference utility for iOS that uses AI to identify rocks, minerals, and gemstones and track their market value.
The App DNA
What makes this app unique?
Collectors hire iRock to reduce the time spent on manual identification and to maintain a digital record of their collection's worth.
For Rock, mineral, and gemstone enthusiasts looking to identify, catalog, and track the market value of their collections.
Key features
Image-based identification of rocks, minerals, and gemstones using machine learning
Provides price estimates for specimens based on comparable market activity
Digital organization tools to catalog and track the value of personal rock collections over time
How much does it cost?
Freemium model gates core identification and valuation features behind a subscription or time-limited trial.
Velocity
Dormant developmentopaqueShow more...
The app has only one recorded release in the observed data, making it impossible to calculate a meaningful development velocity. Based on the current data, the app is effectively in a dormant state with no established update frequency. Future releases are required to determine if this is a new project or a maintenance-mode application.
Who built it?
BerthX
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iMint TCG, Sports Card ScannerUser Sentiment
What do users think recently?
How are ratings & reviews evolving?
Not enough recent reviews to extract reliable themes yet.
Read the full review analysisCompetition
Competitive landscape for iRock: Stone & Rock Identifier
How's the Reference market?
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.
Read the market outlookThe rivals identified
Unlock the deeper market read.
Access the full report for freeThe Analyst's Read
Key takeaways for iRock: Stone & Rock Identifier
Where is it heading?
Users report: 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.
The SWOT
- AI-driven identification engine provides immediate utility for non-expert collectors
- Digital collection tracking creates a persistent user database
- Integration of professional-grade geological databases could provide a unique value layer
- Wearable integration for field use remains untapped
Next best moves
Migrate collection data to cloud storage because local-only storage limits user retention → increase cross-device usage
The counter-intuitive read
The reliance on a subscription gate for identification is a liability…
Read the full takeFeature gaps
Global set database for rarity context (available in Pokellector) +2
Since the last report: The report transitioned from a qualitative competitive overview to one incorporating specific user rating metrics and expanded competitive feature benchmarking.
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.
Unlock 2 critical frictions, 2 market threats and the analyst’s take.
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