--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Forest Mushroom Identification" developer_entity: "Ersin KAYALI" bundle_id: "KesiflerDunyasi.MushroomIdentification" app_store_id: "1499953829" category: "Education" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-04-18" report_date: "2026-08-14" last_verified: "2026-08-14T00:00:00.000Z" report_version: "5.4.8" total_reviews: 216 overall_rating: 4.6 sentiment: "Frustrated" sentiment_score: 25 confidence: "medium" confidence_score: 0.55 top_praise_theme: "The core mushroom identification utility provides a starting point for casual hobbyist exploration" top_complaint_theme: "Inaccurate identification results lead users to distrust the core functionality of the mushroom database" review_sample_size: 2 total_review_count: 2 analyzed_review_count: 2 data_age_days: 2 momentum_velocity: "maintenance" intelligence_version: 3 tags: ["education", "free", "frustrated sentiment", "mobile app", "app review", "app analysis", "outdoor", "enthusiasts,", "amateur"] canonical_url: "https://marlvel.ai/apps/forest-mushroom-identification" license: "CC-BY-NC 4.0" content_version: "v2" --- # Forest Mushroom Identification Intelligence Report ## TL;DR {#tldr} - **Category**: Education · Free - **Signal**: Rating 4.58 · Sentiment Frustrated - **Recent focus**: Inaccurate identification results lead users to distrust the core functionality of the mushroom database (top complaint) · The core mushroom identification utility provides a starting point for casual hobbyist exploration (top praise) > **TL;DR:** Forest Mushroom Identification is a education app by Ersin KAYALI, rated 4.58/5 by 216 users, with Frustrated user sentiment (25/100), available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Forest Mushroom Identification faces Frustrated user sentiment (4.58/5 from 216 reviews), with users reporting inaccurate identification results lead users to distrust the core functionality of the mushroom database as the primary concern. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.58/5 (216 reviews) | | **User Mood** | Frustrated | | **Category** | Education | | **Developer** | Ersin KAYALI | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Medium (0.55/1.0) | | **Data Age** | 2d | ## Metadata & Market Performance - **Publisher:** Ersin KAYALI - **Category:** Education - **Target Audience:** Outdoor enthusiasts, amateur mycologists, and nature hobbyists seeking to identify mushroom species in various global regions. - **Platforms:** iOS - **Version Reviewed:** 5.4.8 - **Report Date:** 2026-08-14 - **Signal Count:** 2 reviews analyzed - **Confidence:** Medium (0.55/1.0) - **App Store ID (iOS):** 1499953829 - **Bundle ID:** KesiflerDunyasi.MushroomIdentification - **Performance Trend:** Mixed - **Data Window:** Analysis based on signals collected up to 2026-08-14 ## Executive Snapshot **What it is:** Forest Mushroom Identification is a free educational tool for amateur mycologists to identify species via images and physical trait filters on iOS. **Why users hire it:** The app removes the barrier of manual field-guide lookup for casual hobbyists, though current identification errors limit its utility for serious users. ## App DNA (Features & Intent) - **[Differentiator] Scientific Property Filter:** Filters species based on hymenium type, cap shape, and spore print color, serving as a B2B-style educational barrier to entry. * *User Intent:* Users want to quickly find relevant content or features. - **[Standard] Image-based Identification:** Matches user photos against a database to suggest potential identities, acting as the primary ad-supported engagement hook. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Differentiator] Mushroom Trivia:** Gamified quiz module testing knowledge, functioning as a retention loop for casual users. ## Market Position {#market-position} Forest Mushroom Identification holds a 4.58-star rating across 216 total reviews, positioning it as a niche educational utility. The lack of IAP gates suggests a focus on user acquisition via ad-supported volume rather than direct monetization. ## Monetization Strategy - **Model:** Free - **Tiers:** Completely free access to all identification and educational features - **Analysis:** The app operates as a free, ad-supported utility with no visible subscription or IAP gates. ## 🔴 User Sentiment (Medium Confidence: 2 of 2 reviews analyzed) {#user-sentiment} - **Overall Rating:** 4.58/5 - **Platform Split:** iOS 4.6/5 (216 ratings) - **Overall Sentiment:** Frustrated - **Note:** The 4.58/5 store rating reflects cumulative history, while the Frustrated sentiment reflects recent user reviews analyzed by our AI pipeline. ### Top Praises - **The core mushroom identification utility provides a starting point for casual hobbyist exploration** ### Top Complaints (Impact Areas) - **Inaccurate identification results lead users to distrust the core functionality of the mushroom database** ## SWOT Analysis {#swot} **Core Strengths:** - Scientific property filters provide a structured identification workflow. - Gamified trivia module increases time-in-app for users. **Growth Levers:** - Database expansion into regional species would address primary user requests. - Refining image-matching algorithm could reduce misidentification rates. ## Recent Changes (v2 → v3) {#recent-changes} The competitive outlook has shifted from stable to mixed due to increased churn risk from generalist nature-identification rivals. While the core feature set remains unchanged, the SWOT analysis now prioritizes algorithm refinement and competitive threats over previous growth opportunities. **Overall trend**: Mixed **Compared at**: 2026-08-14 ### High-impact changes - **[Shifted] Competitive Threat Identification** (swot) ### Medium-impact changes - **[Shifted] Market Positioning Refinement** (positioning) - **[Added] Algorithm Refinement Opportunity** (swot) ## What's New - **Latest (v5.4.8, 3 months ago):** Redesigned the Filter, Possible Mushrooms, and Favorites pages alongside a navigation menu overhaul. ## App Momentum (Maintenance) {#momentum} - Ships bug fixes at ~17-week cadence. - Redesigned filter and favorites pages recently. > **Cadence:** 1 total versions · 1 majors in last 6 months · 118 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Forest Mushroom Identification is an education app that is completely free. It holds a 4.58/5 rating from 216 reviews. > **Bottom Line:** Forest Mushroom Identification provides a functional starting point for hobbyists, but the high rate of misidentification undermines its utility. Addressing database accuracy is the priority to prevent churn to more reliable, verified nature-identification platforms. **Best for:** Outdoor enthusiasts, amateur mycologists, and nature hobbyists seeking to identify mushroom species in various global regions. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Audit identification database accuracy because users report incorrect results → improve trust ### Outlook: Mixed The nature-identification category is consolidating around apps with verified, large-scale databases. Forest Mushroom Identification remains exposed due to its reliance on unverified image matching, which will continue to drive negative sentiment until the database is audited for accuracy. - 🔴 Inaccurate identification results erode user trust, which compounds the churn risk from more reliable generalist nature-identification rivals. - ⚪ The maintenance-only release cadence suggests a lack of active investment in the core database, limiting the app's long-term competitive viability. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.58/5 | | Total Reviews | 216 | | Sentiment | Frustrated (25/100) | | Confidence | Medium | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Mixed | | Outlook | Mixed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Forest Mushroom Identification** (this app) | 4.58/5 | Frustrated | Ersin KAYALI | | [AlgoApp - Flashcards](https://marlvel.ai/apps/algoapp-flashcards) | 4.5/5 | n/a | AlgoApp Inc | | [Elevate - Brain Training Games](https://marlvel.ai/apps/elevate-brain-training-games) | 4.7/5 | n/a | The Mind Company | | [Flashcards Deluxe](https://marlvel.ai/apps/flashcards-deluxe) | 4.5/5 | N/A | OrangeOrApple.com | | [Flash Cards Flashcards Maker](https://marlvel.ai/apps/flash-cards-flashcards-maker) | 4.0/5 | Mixed | Infinite Wave Media, LLC | | [Flashcards maker - AI generate](https://marlvel.ai/apps/flashcards-maker-ai-generate) | 4.1/5 | Mixed | Teleprompter LLC | ## Company Profile - **Developer:** Ersin KAYALI - **Website:** [https://kesiflerdunyasi.com](https://kesiflerdunyasi.com) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/forest-mushroom-identification/id1499953829?uo=4) - **Dev Site:** [Official Website](https://kesiflerdunyasi.com) - **Sources:** Developer website content, About us / company information, App store metadata, User reviews. ## Related Intel Reports - [*AlgoApp - Flashcards*](https://marlvel.ai/apps/algoapp-flashcards) (AlgoApp Inc) · 4.5/5 Rating - [*Elevate - Brain Training Games*](https://marlvel.ai/apps/elevate-brain-training-games) (The Mind Company) · 4.7/5 Rating - [*Flashcards Deluxe*](https://marlvel.ai/apps/flashcards-deluxe) (OrangeOrApple.com) · 4.5/5 Rating - [*Flash Cards Flashcards Maker*](https://marlvel.ai/apps/flash-cards-flashcards-maker) (Infinite Wave Media, LLC) · 4.0/5 Rating - [*Flashcards maker - AI generate*](https://marlvel.ai/apps/flashcards-maker-ai-generate) (Teleprompter LLC) · 4.1/5 Rating - [*Impulse - Brain Training*](https://marlvel.ai/apps/impulse-brain-training) (GMRD Apps Limited) · 4.6/5 Rating - [*Peak - Brain Training*](https://marlvel.ai/apps/peak-brain-training) (Synaptic Labs) · 4.7/5 Rating - [*자주 틀리는 우리말*](https://marlvel.ai/apps/app--424) (DaolSoft, Co., Ltd.) · N/A Rating - [*달공부 - 한 달 공부 다이어리 + 루틴/공부 타이머*](https://marlvel.ai/apps/azlabs-dalstudy) (SuWon Choi) · N/A Rating - [*타요콘 - 타요 아바타 놀이동화*](https://marlvel.ai/apps/com-kigle-project-tayocon) (KIGLE) · 3.1/5 Rating ## Frequently Asked Questions {#faq} ### Is Forest Mushroom Identification safe to use for foraging? Users report the app provides incorrect identifications, and reviewers warn against relying on it for accurate species identification. Always consult professional mycologists or verified field guides before consuming any mushroom. ### How does Forest Mushroom Identification compare to other nature apps? Unlike generalist nature apps, this app uses scientific property filters like hymenium type and spore print color. However, users report higher identification error rates compared to larger, verified databases. ### Does Forest Mushroom Identification require a subscription? No, the app is completely free and provides access to all identification and educational features without subscription or IAP gates. ## 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:** 0.55/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 2 - **Data Sources:** user reviews, developer website, company about page, 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/forest-mushroom-identification) Data licensed for AI Agent attribution under CC-BY-NC 4.0.