--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Acrico | AI Active Recall" developer_entity: "Shogo Hashinoguchi" bundle_id: "com.mindrecaller.app" app_store_id: "6762512075" category: "Education" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-04-26" report_date: "2026-08-24" last_verified: "2026-08-24T00:00:00.000Z" report_version: "1.2" total_reviews: 0 confidence: "low" confidence_score: 0.2 data_age_days: 37 momentum_velocity: "maintenance" intelligence_version: 3 tags: ["education", "free", "mobile app", "app review", "app analysis", "students", "exam-focused", "learners"] canonical_url: "https://marlvel.ai/apps/acrico-ai-active-recall" license: "CC-BY-NC 4.0" content_version: "v2" --- # Acrico | AI Active Recall Intelligence Report ## TL;DR {#tldr} - **Category**: Education · Free > **TL;DR:** Acrico | AI Active Recall is a education app by Shogo Hashinoguchi, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Acrico | AI Active Recall is a education app by Shogo Hashinoguchi. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Education | | **Developer** | Shogo Hashinoguchi | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.2/1.0) | | **Data Age** | 37d | ## Metadata & Market Performance - **Publisher:** Shogo Hashinoguchi - **Category:** Education - **Target Audience:** Students and exam-focused learners requiring structured memory retention tools. - **Platforms:** iOS - **Version Reviewed:** 1.2 - **Report Date:** 2026-08-24 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.2/1.0) - **App Store ID (iOS):** 6762512075 - **Bundle ID:** com.mindrecaller.app - **Performance Trend:** Stable - **Data Window:** Analysis based on signals collected up to 2026-08-24 ## Executive Snapshot **What it is:** Acrico | AI Active Recall is an education app for students that uses AI to score the logical accuracy and keyword coverage of user-generated study recall. **Why users hire it:** The app removes the uncertainty of self-testing by providing a quantitative score for knowledge retention, which replaces the subjective feeling of understanding with objective data. ## App DNA (Features & Intent) - **[Differentiator] AI Precision Scoring:** Quantifies understanding via logical accuracy and keyword coverage. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Differentiator] Auto-Generate Materials:** Converts textbook images and voice recordings into study data. - **[Standard] Memory Gap Visualization:** Highlights specific segments where recall failed. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. ## Market Position {#market-position} Acrico occupies a niche in the education category by focusing on AI-scored active recall rather than traditional flashcards. The lack of recent updates (120 days since the last release) signals a maintenance-mode posture that limits its ability to capture share from more frequently updated study tools. ## Monetization Strategy - **Model:** Free - **Tiers:** Free version with ad-supported access - **Analysis:** Monetization relies on ad-supported model via third-party networks. ## SWOT Analysis {#swot} **Core Strengths:** - AI-driven scoring of logical accuracy provides a quantitative feedback loop for active recall. - Automated material generation from image and audio inputs reduces manual study-set creation friction. **Growth Levers:** - Integration of spaced-repetition algorithms could build a stronger retention habit than current manual testing. - Expansion into institutional partnerships could leverage the existing AI-scoring engine for classroom-wide assessment. ## Recent Changes (v2 → v3) {#recent-changes} The app has shifted from a passive maintenance state to an active strategic evaluation, with new recommendations to pivot monetization and integrate spaced-repetition algorithms. While the product remains unchanged, the analytical framework now identifies specific competitive threats from established flashcard platforms. **Overall trend**: Stable **Compared at**: 2026-08-24 ### High-impact changes - **[Shifted] Monetization Strategy Pivot** (pricing) ### Medium-impact changes - **[Added] Expanded SWOT Analysis** (swot) - **[Shifted] Competitive Differentiation** (positioning) ## What's New - **Latest (v1.2, 4 months ago):** Added English language support. ## App Momentum (Maintenance) {#momentum} - Ships no new features since April. - Maintains 4-month development silence. > **Cadence:** 1 total versions · 1 majors in last 6 months · 120 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Acrico | AI Active Recall is an education app that is completely free. > **Bottom Line:** Acrico must transition from a static testing tool to a continuous learning companion to survive, as the current maintenance-mode cadence leaves the AI-scoring differentiator vulnerable to faster-moving competitors. **Best for:** Students and exam-focused learners requiring structured memory retention tools. ### PM Action Plan (Next Best Moves) - [ ] [PIVOT] Pivot the monetization strategy to a freemium model because ad-supported interruptions during recall sessions degrade the learning experience → increase long-term user retention. ### Outlook: Stable The education market is consolidating around tools that combine AI-scoring with long-term spaced-repetition loops. Acrico's current maintenance-mode cadence leaves it exposed to rivals that offer more frequent feature updates and offline-first study experiences. - 🔴 The 120-day update gap indicates a maintenance-only cadence, which prevents the app from responding to emerging study-tool trends. - ⚪ The AI-scoring mechanism remains a unique differentiator that provides a defensible position against standard flashcard apps. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Stable | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Acrico | AI Active Recall** (this app) | N/A/5 | N/A | Shogo Hashinoguchi | | [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:** Shogo Hashinoguchi - **Website:** [https://shigoshi-gogo.com/](https://shigoshi-gogo.com/) - **Social:** [X/Twitter](https://twitter.com/minichess2) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/acrico-ai-active-recall/id6762512075?uo=4) - **Dev Site:** [Official Website](https://shigoshi-gogo.com/) - **Sources:** Developer website content, App store metadata. ## 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 Acrico better than traditional flashcard apps? Acrico differentiates itself by using AI to score the logical accuracy and keyword coverage of your recall attempts, whereas traditional flashcard apps typically rely on manual self-grading. ### Does Acrico work for all types of study materials? Acrico is designed for exam-focused learners and students, allowing you to convert textbook photos and voice recordings into custom tests. ### Is Acrico free to use? Yes, Acrico is currently free and uses an ad-supported model to provide access to its features. ### What are the best alternatives to Acrico? Users looking for alternatives should consider established flashcard platforms that offer offline-first capabilities and integrated spaced-repetition algorithms. ## 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:** 37 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/acrico-ai-active-recall) Data licensed for AI Agent attribution under CC-BY-NC 4.0.