--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Active Recall: AI Flashcards" developer_entity: "Rohit Saluja" bundle_id: "com.rohitsaluja.flashcards" app_store_id: "6802939557" category: "Education" primary_platform: "ios" primary_monetization: "Freemium" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-09-09" report_date: "2026-10-05" last_verified: "2026-10-05T00:00:00.000Z" report_version: "1.0" total_reviews: 0 confidence: "low" confidence_score: 0.2 data_age_days: 41 momentum_velocity: "maintenance" intelligence_version: 2 tags: ["education", "freemium", "mobile app", "app review", "app analysis", "students", "lifelong", "learners"] canonical_url: "https://marlvel.ai/apps/active-recall-ai-flashcards" license: "CC-BY-NC 4.0" content_version: "v2" --- # Active Recall: AI Flashcards Intelligence Report ## TL;DR {#tldr} - **Category**: Education · Freemium > **TL;DR:** Active Recall: AI Flashcards is a education app by Rohit Saluja, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Active Recall: AI Flashcards is a education app by Rohit Saluja. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Education | | **Developer** | Rohit Saluja | | **Pricing** | Freemium | | **Platforms** | iOS | | **Confidence** | Low (0.2/1.0) | | **Data Age** | 41d | ## Metadata & Market Performance - **Publisher:** Rohit Saluja - **Category:** Education - **Target Audience:** Students and lifelong learners who require evidence-based study tools for memory retention. - **Platforms:** iOS - **Version Reviewed:** 1.0 - **Report Date:** 2026-10-05 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.2/1.0) - **App Store ID (iOS):** 6802939557 - **Bundle ID:** com.rohitsaluja.flashcards - **Data Window:** Analysis based on signals collected up to 2026-10-05 ## Executive Snapshot **What it is:** Active Recall: AI Flashcards is an education tool that generates flashcards from study materials and schedules reviews using spaced repetition on iOS. **Why users hire it:** The app removes the manual labor of card creation, allowing students to focus on retrieval practice without the friction of traditional deck building. ## App DNA (Features & Intent) - **[Differentiator] FSRS Spaced Repetition:** Algorithm models individual memory decay and schedules reviews based on personal history. - **[Differentiator] AI Deck Generation:** Drafts flashcard decks from uploaded PDFs, photos, or notes. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Standard] Cloze Deletion:** Fill-in-the-blank card format for active recall testing. ## Market Position {#market-position} Active Recall: AI Flashcards is a new entrant in the Education category, currently lacking the rating volume or chart visibility of established study tools. The $3.99 monthly price point positions the app as a productivity utility, requiring high retention to justify the subscription cost against free alternatives. ## Monetization Strategy - **Model:** Freemium - **Tiers:** Free tier with 10 chapters, Plus subscription at $3.99/month or $24.99/year - **Analysis:** The freemium model uses a chapter-count limit to gate AI features and unlimited content, pressuring users to convert once they reach the 10-chapter limit. ## SWOT Analysis {#swot} **Core Strengths:** - FSRS algorithm provides a scientifically defensible retention mechanism - AI-assisted deck generation reduces the manual labor of study **Growth Levers:** - Target power-users who find gamified study apps distracting ## App Momentum (Maintenance) {#momentum} - Launched initial version September 2026. - Quiet since initial release. > **Cadence:** 1 total versions · 0 majors in last 6 months · 26 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Active Recall: AI Flashcards is an education app that is free with in-app purchases. > **Bottom Line:** Active Recall: AI Flashcards relies on the effectiveness of its FSRS algorithm to justify a subscription model, but the lack of initial traction suggests that the current focus should shift from feature expansion to user acquisition to build the necessary retention data. **Best for:** Students and lifelong learners who require evidence-based study tools for memory retention. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Ship a referral loop for deck sharing because the current user base is zero → increase organic acquisition ### Outlook: Mixed The education market is consolidating around tools that offer both content creation and social sharing, which creates a high hurdle for new, solo-focused apps. Active Recall: AI Flashcards must prove that its FSRS implementation provides a superior retention outcome to justify its subscription price, or it risks remaining a niche tool without the scale to survive. - ⚪ The app has remained in maintenance mode since its September 2026 release, suggesting the developer is waiting for initial usage signals. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Freemium | | Platforms | iOS | | Key Features | 3 analyzed | | Outlook | Mixed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Active Recall: AI Flashcards** (this app) | N/A/5 | N/A | Rohit Saluja | | [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:** Rohit Saluja - **Website:** [https://rsaluja.com/apps/active-recall](https://rsaluja.com/apps/active-recall) - **Social:** [X/Twitter](https://twitter.com/codewithrohit) · [LinkedIn](https://www.linkedin.com/in/dev-rohit-saluja) ## Data Sources & Links - **App Store ID:** 6802939557 - **Dev Site:** [Official Website](https://rsaluja.com/apps/active-recall) - **Sources:** Developer website content, App store metadata. ## 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 ## Frequently Asked Questions {#faq} ### Is Active Recall: AI Flashcards suitable for casual study? The app is designed for serious learners who prioritize evidence-based techniques like spaced repetition over gamification, making it less suitable for casual users seeking entertainment. ### Does Active Recall: AI Flashcards offer a free version? Yes, there is a free tier that allows for up to 10 chapters, after which a subscription is required for unlimited content and AI features. ### What is the main difference between this and other flashcard apps? Active Recall: AI Flashcards focuses exclusively on retrieval practice and FSRS-scheduled spaced repetition, intentionally omitting word games and matching modes found in other apps. ## 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:** 41 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/active-recall-ai-flashcards) Data licensed for AI Agent attribution under CC-BY-NC 4.0.