--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Tooth Sleuth" developer_entity: "Andrew Margarit" bundle_id: "drewmar.Tooth-Sleuth" app_store_id: "6748571321" category: "Education" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-07-28" report_date: "2026-10-07" last_verified: "2026-10-07T00:00:00.000Z" report_version: "1.41" total_reviews: 23 overall_rating: 4.9 sentiment: "Thrilled" sentiment_score: 95 confidence: "low" confidence_score: 0.35 top_praise_theme: "Gamified tooth identification drills help students memorize complex dental anatomy without feeling like traditional studying" review_sample_size: 17 total_review_count: 17 analyzed_review_count: 17 data_age_days: 2 momentum_velocity: "maintenance" intelligence_version: 2 tags: ["education", "free", "thrilled sentiment", "mobile app", "app review", "app analysis", "dental", "assisting,", "dental"] canonical_url: "https://marlvel.ai/apps/tooth-sleuth" license: "CC-BY-NC 4.0" content_version: "v2" --- ## ⚠ Content Warning This report covers topics classified as sensitive (health). Information is aggregated from public sources for informational purposes only. This is not medical advice. Consult a qualified professional before acting on any information here. --- # Tooth Sleuth Intelligence Report ## TL;DR {#tldr} - **Category**: Education · Free - **Signal**: Rating 4.87 · Sentiment Thrilled - **Recent focus**: Gamified tooth identification drills help students memorize complex dental anatomy without feeling like traditional studying (top praise) > **TL;DR:** Tooth Sleuth is a education app by Andrew Margarit, rated 4.87/5 by 23 users, with Thrilled user sentiment (95/100), available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Tooth Sleuth maintains Thrilled user sentiment (4.87/5 from 23 reviews), with users consistently praising gamified tooth identification drills help students memorize complex dental anatomy without feeling like traditional studying. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.87/5 (23 reviews) | | **User Mood** | Thrilled | | **Category** | Education | | **Developer** | Andrew Margarit | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.35/1.0) | | **Data Age** | 2d | ## Metadata & Market Performance - **Publisher:** Andrew Margarit - **Category:** Education - **Target Audience:** Dental assisting, dental hygiene, and dental school students preparing for clinical practice and board exams. - **Platforms:** iOS - **Version Reviewed:** 1.41 - **Report Date:** 2026-10-07 - **Signal Count:** 17 reviews analyzed - **Confidence:** Low (0.35/1.0) - **App Store ID (iOS):** 6748571321 - **Bundle ID:** drewmar.Tooth-Sleuth - **Data Window:** Analysis based on signals collected up to 2026-10-07 ## Executive Snapshot **What it is:** Tooth Sleuth is an interactive study game for dental students to practice tooth identification and notation systems on iOS. **Why users hire it:** The app removes the cognitive friction of traditional rote memorization by providing immediate feedback and gamified progress tracking for dental anatomy. ## App DNA (Features & Intent) - **[Standard] Game Modes:** Time Attack, Survival, and Practice modes encourage daily habit formation and repeat usage. * *User Intent:* Users are motivated by consistent progression and daily incentives. - **[Differentiator] Notation System Library:** Support for Universal, Palmer, FDI, and anatomical systems serves as a hook for dental school curriculum adoption. - **[Differentiator] Case File Analytics:** On-device tracking of accuracy trends increases the cost of switching to alternative study tools. * *User Intent:* Users want visibility into their own performance and progress. ## Market Position {#market-position} Tooth Sleuth maintains a high 4.87 rating across 23 total ratings, reflecting strong satisfaction with its focused study utility. The lack of recent updates over the last 70 days suggests a stable, maintenance-mode position rather than aggressive expansion. ## Monetization Strategy - **Model:** Free - **Tiers:** Fully free and ad-free access to all study modes - **Analysis:** Tooth Sleuth operates as a free, ad-free utility designed to build category authority within dental education. ## 🟢 User Sentiment (Low Confidence: 17 of 17 reviews analyzed) {#user-sentiment} - **Overall Rating:** 4.87/5 - **Platform Split:** iOS 4.9/5 (23 ratings) - **Overall Sentiment:** Thrilled ### Top Praises - **Gamified tooth identification drills help students memorize complex dental anatomy without feeling like traditional studying** - **Competitive leaderboards and time-based challenges motivate students to improve their speed and accuracy during practice** - **Redesigned case file and on-device progress tracking provide clear visibility into accuracy trends and personal bests** ## SWOT Analysis {#swot} **Core Strengths:** - Notation system library functions as a B2B distribution barrier into dental school curricula - Gamified training formats encourage daily habit formation and repeat usage - On-device progress tracking increases the cost of switching to alternative study tools **Growth Levers:** - Radiographic identification features would address the top user request for clinical scope expansion - School-based leaderboard filtering provides a foundation for direct institutional partnerships ## What's New - **Latest (v1.41, 2 months ago):** Introduced a redesigned Case File with on-device progress tracking, performance analytics, and granular leaderboard filtering with privacy controls. ## App Momentum (Maintenance) {#momentum} - Redesigned Case File in latest release - Added granular leaderboard filtering controls - Quiet 2 months, maintenance-only cadence > **Cadence:** 1 total versions · 1 majors in last 6 months · 70 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Tooth Sleuth is a market-leading education app that is completely free. With a 4.87/5 rating from 23 reviews, it delivers strong user satisfaction. > **Bottom Line:** Tooth Sleuth's gamified notation library provides a defensible niche, but the 70-day update gap risks stagnation. Investing in radiographic content would unlock higher-value clinical preparation use cases and sustain long-term student engagement. **Best for:** Dental assisting, dental hygiene, and dental school students preparing for clinical practice and board exams. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Ship radiographic identification module because it is the top-requested feature → increase clinical utility ### Outlook: Stable The dental education study tool market is consolidating around apps that offer comprehensive clinical preparation. Tooth Sleuth is currently advantaged by its ad-free, focused design, but the lack of content expansion will erode this lead as students demand more advanced radiographic practice. - 🟢 The latest update introduced requested progress tracking, which users cite as a key tool for improving identification speed and accuracy. - 🔴 The 70-day update gap suggests a maintenance-mode cadence, which leaves the app vulnerable to rivals that add clinical-scope features like radiographic identification. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.87/5 | | Total Reviews | 23 | | Sentiment | Thrilled (95/100) | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Tooth Sleuth** (this app) | 4.87/5 | Thrilled | Andrew Margarit | | [ALPA: Lernspiele für Kinder](https://marlvel.ai/apps/alpa-lernspiele-fur-kinder) | N/A/5 | N/A | ALPA Kids OU | | [ATPdigital (Legacy)](https://marlvel.ai/apps/atpdigital-legacy) | 2.0/5 | n/a | Bristol Groundschool International Ltd | | [Catbus Student](https://marlvel.ai/apps/catbus-student) | 4.1/5 | N/A | Cohota Join Stock Company | | [Chinese Tibetan Dictionary](https://marlvel.ai/apps/chinese-tibetan-dictionary) | 5.0/5 | Thrilled | Lobsang Monlam16922404891 | | [Insights to Behavior](https://marlvel.ai/apps/insights-to-behavior) | N/A/5 | N/A | Insights to Behavior | ## Company Profile - **Developer:** Andrew Margarit ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/tooth-sleuth/id6748571321?uo=4) - **Sources:** App store metadata, User reviews. ## Related Intel Reports - [*ALPA: Lernspiele für Kinder*](https://marlvel.ai/apps/alpa-lernspiele-fur-kinder) (ALPA Kids OU) · N/A Rating - [*ATPdigital (Legacy)*](https://marlvel.ai/apps/atpdigital-legacy) (Bristol Groundschool International Ltd) · 2.0/5 Rating - [*Catbus Student*](https://marlvel.ai/apps/catbus-student) (Cohota Join Stock Company) · 4.1/5 Rating - [*Chinese Tibetan Dictionary*](https://marlvel.ai/apps/chinese-tibetan-dictionary) (Lobsang Monlam16922404891) · 5.0/5 Rating | Excellent Sentiment - [*Insights to Behavior*](https://marlvel.ai/apps/insights-to-behavior) (Insights to Behavior) · N/A Rating - [*Legasthenie & LRS Trainer*](https://marlvel.ai/apps/legasthenie-lrs-trainer) (Matthias Aigner) · N/A Rating - [*Lyceum Leaf Parent*](https://marlvel.ai/apps/lyceum-leaf-parent) (Techcess Business Solutions (Pvt) Ltd) · N/A Rating - [*Money Matrix (CAD)*](https://marlvel.ai/apps/money-matrix-cad) (Blooming Kids Software LLC) · 5.0/5 Rating - [*myTibetan*](https://marlvel.ai/apps/mytibetan) (Yury Nevalenny) · 4.8/5 Rating | Excellent Sentiment - [*Quran Treasure Island for Kids*](https://marlvel.ai/apps/quran-treasure-island-for-kids) (Akeela Manekia) · 4.9/5 Rating ## 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 into synthesised themes (no verbatim quotes). 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:** 17 - **Data Sources:** user reviews, 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:** 2 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/tooth-sleuth) Data licensed for AI Agent attribution under CC-BY-NC 4.0.