--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Mushroom Scanner: Fungi ID AI" developer_entity: "Mohamed Baddou" bundle_id: "com.medapps.mushroom" app_store_id: "6766302142" category: "Lifestyle" primary_platform: "ios" primary_monetization: "Freemium" offline_capable: true market_region: "US" platforms: "iOS" app_last_updated: "2026-05-08" report_date: "2026-08-24" last_verified: "2026-08-24T00:00:00.000Z" report_version: "1.0" total_reviews: 0 confidence: "low" confidence_score: 0.2 data_age_days: 7 momentum_velocity: "maintenance" intelligence_version: 3 tags: ["lifestyle", "freemium", "mobile app", "app review", "app analysis", "foragers,", "hikers,", "mycology"] canonical_url: "https://marlvel.ai/apps/mushroom-scanner-fungi-id-ai" license: "CC-BY-NC 4.0" content_version: "v2" --- # Mushroom Scanner: Fungi ID AI Intelligence Report ## TL;DR {#tldr} - **Category**: Lifestyle · Freemium > **TL;DR:** Mushroom Scanner: Fungi ID AI is a lifestyle app by Mohamed Baddou, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Mushroom Scanner: Fungi ID AI is a lifestyle app by Mohamed Baddou. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Lifestyle | | **Developer** | Mohamed Baddou | | **Pricing** | Freemium | | **Platforms** | iOS | | **Confidence** | Low (0.2/1.0) | | **Data Age** | 7d | ## Metadata & Market Performance - **Publisher:** Mohamed Baddou - **Category:** Lifestyle - **Target Audience:** Foragers, hikers, and mycology learners requiring field-based identification tools. - **Platforms:** iOS - **Version Reviewed:** 1.0 - **Report Date:** 2026-08-24 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.2/1.0) - **App Store ID (iOS):** 6766302142 - **Bundle ID:** com.medapps.mushroom - **Performance Trend:** Stable - **Data Window:** Analysis based on signals collected up to 2026-08-24 ## Executive Snapshot **What it is:** Mushroom Scanner: Fungi ID AI is a camera-based identification tool for mushrooms and fungi, designed for foragers and hikers on iOS. **Why users hire it:** The app removes the cognitive friction of manual identification in the field by providing instant visual matches and toxicity alerts for wild species. ## App DNA (Features & Intent) - **[Standard] Camera-based AI Identification:** Real-time recognition using cap, gill, and stem markers. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Differentiator] Poison Look-alike Warnings:** Automated alerts for high-risk confusion pairs. * *User Intent:* Users want timely prompts to stay engaged without missing updates. - **[Differentiator] Offline Trip History:** Local storage for identification logs without cellular connectivity. * *User Intent:* Users want uninterrupted access without internet dependency. ## Market Position {#market-position} Mushroom Scanner: Fungi ID AI occupies a niche in the Lifestyle category, serving users who prioritize offline functionality over social features. The 108-day update gap indicates a static position that does not currently challenge category leaders through active development. ## Monetization Strategy - **Model:** Freemium - **Tiers:** Free tier with ad support, Subscription-based access to advanced features - **Analysis:** Freemium model relies on ad-supported identification tools with subscription gates for advanced features. ## SWOT Analysis {#swot} **Core Strengths:** - Offline-first architecture enables identification in remote foraging zones without cellular connectivity **Growth Levers:** - Integration of user-submitted verified finds could build a community-driven database to improve AI accuracy ## Recent Changes (v2 → v3) {#recent-changes} The app remains in a 108-day maintenance cycle, with no functional changes to the product. The primary shift is a strategic re-evaluation of the static development posture, moving from a 'declining' outlook to 'stable' by framing the lack of updates as a potential benefit for safety-critical accuracy. **Overall trend**: Stable **Compared at**: 2026-08-24 ### High-impact changes - **[Shifted] Outlook Trend** (positioning) ### Medium-impact changes - **[Shifted] SWOT Analysis Refinement** (swot) - **[Shifted] PM Action Item Focus** (positioning) ## App Momentum (Maintenance) {#momentum} - Launched May 2026. - Zero updates in 108 days. > **Cadence:** 1 total versions · 0 majors in last 6 months · 107 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Mushroom Scanner: Fungi ID AI is a lifestyle app that is free with in-app purchases. > **Bottom Line:** Mushroom Scanner: Fungi ID AI maintains a functional offline tool, but the 108-day development silence risks losing the trust of safety-conscious foragers. Prioritizing model validation would defend the core utility against more active competitors. **Best for:** Foragers, hikers, and mycology learners requiring field-based identification tools. ### PM Action Plan (Next Best Moves) - [ ] [MAINTAIN] Audit AI recognition accuracy because the 108-day update gap risks model decay → maintain user trust ### Outlook: Stable The identification market is consolidating around tools that offer frequent model updates and community-verified data. Mushroom Scanner: Fungi ID AI remains in a static state, which leaves it exposed to competitors that leverage active user feedback to refine their recognition accuracy. - 🔴 The 108-day update gap indicates a maintenance-only posture, which limits the app's ability to compete with frequently updated identification tools. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Freemium | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Stable | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Mushroom Scanner: Fungi ID AI** (this app) | N/A/5 | N/A | Mohamed Baddou | | [Alarmy - Loud alarm clock](https://marlvel.ai/apps/alarmy-loud-alarm-clock) | 4.8/5 | Excited | Delight Room Co., Ltd. | | [Journey - Diary, Journal](https://marlvel.ai/apps/com-journey-ios-app) | 4.6/5 | Excited | Two App Studio Pte. Ltd. | | [Tinder Dating App: Date & Chat](https://marlvel.ai/apps/tinder-dating-app-date-chat) | 4.0/5 | n/a | Tinder LLC | | [Alarmie: Easy Rise Alarm Clock](https://marlvel.ai/apps/alarmie-easy-rise-alarm-clock) | 4.4/5 | Mixed | Jintian Wang | | [AlarmMon ( alarm clock )](https://marlvel.ai/apps/alarmmon-alarm-clock) | 4.3/5 | n/a | Malang Studio Co. Ltd, | ## Company Profile - **Developer:** Mohamed Baddou - **Website:** [https://apps.apple.com/us/developer/mohamed-baddou/id1867890628?uo=4](https://apps.apple.com/us/developer/mohamed-baddou/id1867890628?uo=4) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/mushroom-scanner-fungi-id-ai/id6766302142?uo=4) - **Dev Site:** [Official Website](https://apps.apple.com/us/developer/mohamed-baddou/id1867890628?uo=4) - **Sources:** Developer website content, App store metadata. ## Related Intel Reports - [*Alarmy - Loud alarm clock*](https://marlvel.ai/apps/alarmy-loud-alarm-clock) (Delight Room Co., Ltd.) · 4.8/5 Rating | Positive Sentiment - [*Journey - Diary, Journal*](https://marlvel.ai/apps/com-journey-ios-app) (Two App Studio Pte. Ltd.) · 4.6/5 Rating | Positive Sentiment - [*Tinder Dating App: Date & Chat*](https://marlvel.ai/apps/tinder-dating-app-date-chat) (Tinder LLC) · 4.0/5 Rating - [*Alarmie: Easy Rise Alarm Clock*](https://marlvel.ai/apps/alarmie-easy-rise-alarm-clock) (Jintian Wang) · 4.4/5 Rating - [*AlarmMon ( alarm clock )*](https://marlvel.ai/apps/alarmmon-alarm-clock) (Malang Studio Co. Ltd,) · 4.3/5 Rating - [*Amora: A Hint of Your Soulmate*](https://marlvel.ai/apps/amora-a-hint-of-your-soulmate) (Lit Apps LLC (Mobile)) · 4.7/5 Rating - [*Swiftime*](https://marlvel.ai/apps/swiftime) (MEDIANO Co.,Ltd.) · 4.5/5 Rating | Positive Sentiment - [*마주*](https://marlvel.ai/apps/an-offline-network-where-you-meet-through-qr-codes) (lvher) · N/A Rating - [*모앗*](https://marlvel.ai/apps/moat-moatapp) (JUNSEOK LEE) · N/A Rating - [*야기*](https://marlvel.ai/apps/tistory-88yhtserof-yagi) (Yunhwi Lim) · N/A Rating ## Frequently Asked Questions {#faq} ### Is Mushroom Scanner: Fungi ID AI safe to use for identifying edible mushrooms? The app is an educational aid and not a guarantee. Mushroom toxicity can be fatal, so users should always verify findings with multiple trusted sources and qualified local experts before consumption. ### Does Mushroom Scanner: Fungi ID AI work without an internet connection? Yes, the app includes offline trip history and identification features, allowing for use in remote areas without cellular connectivity. ### What is the difference between the free and subscription versions? The free version is ad-supported and provides basic identification tools, while the subscription tier provides access to advanced features. ## 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:** 0.2/1.0 (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:** 7 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/mushroom-scanner-fungi-id-ai) Data licensed for AI Agent attribution under CC-BY-NC 4.0.