--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "OLL Finder" developer_entity: "Andres Sada" bundle_id: "com.andressada.OLL-Finder" app_store_id: "1268115797" category: "Entertainment" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2018-05-27" report_date: "2026-08-27" last_verified: "2026-08-27T00:00:00.000Z" report_version: "2.1" total_reviews: 13 overall_rating: 4.6 sentiment: "Excited" sentiment_score: 70 confidence: "medium" confidence_score: 0.5 top_praise_theme: "The user interface allows learners to quickly locate specific algorithms instead of searching randomly" review_sample_size: 5 total_review_count: 5 analyzed_review_count: 5 data_age_days: 74 momentum_velocity: "zombie" intelligence_version: 3 tags: ["entertainment", "free", "excited sentiment", "mobile app", "app review", "app analysis", "rubik's", "enthusiasts", "speedcubers"] canonical_url: "https://marlvel.ai/apps/oll-finder" license: "CC-BY-NC 4.0" content_version: "v2" --- # OLL Finder Intelligence Report ## TL;DR {#tldr} - **Category**: Entertainment · Free - **Signal**: Rating 4.62 · Sentiment Excited - **Recent focus**: The user interface allows learners to quickly locate specific algorithms instead of searching randomly (top praise) > **TL;DR:** OLL Finder is a entertainment app by Andres Sada, rated 4.62/5 by 13 users, with Excited user sentiment (70/100), available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** OLL Finder maintains Excited user sentiment (4.62/5 from 13 reviews), with users consistently praising the user interface allows learners to quickly locate specific algorithms instead of searching randomly. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.62/5 (13 reviews) | | **User Mood** | Excited | | **Category** | Entertainment | | **Developer** | Andres Sada | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Medium (0.5/1.0) | | **Data Age** | 74d | ## Metadata & Market Performance - **Publisher:** Andres Sada - **Category:** Entertainment - **Target Audience:** Rubik's Cube enthusiasts and speedcubers looking to memorize and refine OLL algorithms. - **Platforms:** iOS - **Version Reviewed:** 2.1 - **Report Date:** 2026-08-27 - **Signal Count:** 5 reviews analyzed - **Confidence:** Medium (0.5/1.0) - **App Store ID (iOS):** 1268115797 - **Bundle ID:** com.andressada.OLL-Finder - **Performance Trend:** Stable - **Data Window:** Analysis based on signals collected up to 2026-08-27 ## Executive Snapshot **What it is:** OLL Finder is a specialized utility for speedcubers to find and practice OLL algorithms on iOS. **Why users hire it:** The tool removes the friction of searching through endless lists by grouping similar OLL cases for faster pattern recognition. ## App DNA (Features & Intent) - **[Differentiator] OLL Case Finder:** Filters and displays similar OLL cases to identify specific algorithms. * *User Intent:* Users want to quickly find relevant content or features. - **[Standard] Algorithm Library:** Provides multiple algorithm variations for each OLL case to compare and select preferred methods. * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Video Integration:** Embedded YouTube video playback for visual demonstration of finger tricks and execution. ## Market Position {#market-position} OLL Finder holds a steady 4.6-star rating across 13 total ratings. The lack of updates since 2018 positions the app as a legacy utility rather than an active market participant. ## Monetization Strategy - **Model:** Free - **Tiers:** Fully free access - **Analysis:** The app operates as a free utility with no visible monetization gates or subscription tiers. ## 🟢 User Sentiment (Medium Confidence: 5 of 5 reviews analyzed) {#user-sentiment} - **Overall Rating:** 4.62/5 - **Platform Split:** iOS 4.6/5 (13 ratings) - **Overall Sentiment:** Excited ### Top Praises - **The user interface allows learners to quickly locate specific algorithms instead of searching randomly** - **The application provides a quick and helpful experience for users practicing cube solving** ## SWOT Analysis {#swot} **Core Strengths:** - Pattern-based navigation replaces random searching - Embedded video playback facilitates visual learning **Growth Levers:** - Adding PLL algorithms would satisfy top user requests - Standardizing notation support would assist beginners ## Recent Changes (v2 → v3) {#recent-changes} The app's competitive posture has shifted from a stable niche utility to a legacy product, reflecting the risks associated with an 8-year development hiatus. No functional changes occurred, but the outlook now explicitly highlights the threat of store removal. **Overall trend**: Stable **Compared at**: 2026-08-27 ### Medium-impact changes - **[Shifted] Legacy positioning** (positioning) - **[Added] Platform obsolescence and store removal threats** (swot) ## What's New - **Latest (v2.1, 8 years ago):** Addressed a playback issue where videos failed to load. ## App Momentum (Zombie) {#momentum} - Quiet 8 years, maintenance mode only. - Last major release May 2018. > **Cadence:** 1 total versions · 0 majors in last 6 months · 3013 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} OLL Finder is an entertainment app that is completely free. It holds a 4.62/5 rating from 13 reviews. > **Bottom Line:** OLL Finder provides a functional utility that remains useful for its niche, but the 8-year development gap leaves it vulnerable to platform obsolescence. **Best for:** Rubik's Cube enthusiasts and speedcubers looking to memorize and refine OLL algorithms. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Ship PLL algorithm support because it is the top-requested feature from current users → increase user retention ### Outlook: Stable The market for speedcubing utilities is stable but requires consistent maintenance to remain viable on modern mobile operating systems. OLL Finder is currently in a maintenance-only posture, which limits its ability to capture new users who require broader algorithm support like PLL. - 🔴 The 8-year development gap (last update May 2018) creates a high risk of platform incompatibility and eventual store removal. - 🟢 The app maintains a 4.6-star rating, indicating the core utility remains highly valued by the speedcubing community. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.62/5 | | Total Reviews | 13 | | Sentiment | Excited (70/100) | | Confidence | Medium | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Stable | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **OLL Finder** (this app) | 4.62/5 | Excited | Andres Sada | | [BESTPLAY Play to earn & donate](https://marlvel.ai/apps/bestplay-play-to-earn-donate) | 4.7/5 | n/a | Bestplay | | [JustPlay: Earn Money or Donate](https://marlvel.ai/apps/justplay-earn-money-or-donate) | 4.4/5 | n/a | JustPlay GmbH | | [DramaBox - Stream Drama Shorts](https://marlvel.ai/apps/dramabox-stream-drama-shorts-1) | 4.7/5 | n/a | STORYMATRIX | | [DramaWave - Dramas & Reels](https://marlvel.ai/apps/dramawave-dramas-reels) | 4.7/5 | Mixed | SKYWORK AI PTE LTD | | [Ghost Science M3](https://marlvel.ai/apps/ghost-science-m3) | 3.1/5 | Excited | Michael Weber | ## Company Profile - **Developer:** Andres Sada - **Website:** [https://oll-finder.firebaseapp.com/](https://oll-finder.firebaseapp.com/) - **Social:** [YouTube](https://www.youtube.com/watch) ## Data Sources & Links - **App Store ID:** 1268115797 - **Dev Site:** [Official Website](https://oll-finder.firebaseapp.com/) - **Sources:** Developer website content, App store metadata, User reviews. ## Related Intel Reports - [*BESTPLAY Play to earn & donate*](https://marlvel.ai/apps/bestplay-play-to-earn-donate) (Bestplay) · 4.7/5 Rating - [*JustPlay: Earn Money or Donate*](https://marlvel.ai/apps/justplay-earn-money-or-donate) (JustPlay GmbH) · 4.4/5 Rating - [*DramaBox - Stream Drama Shorts*](https://marlvel.ai/apps/dramabox-stream-drama-shorts-1) (STORYMATRIX) · 4.7/5 Rating - [*DramaWave - Dramas & Reels*](https://marlvel.ai/apps/dramawave-dramas-reels) (SKYWORK AI PTE LTD) · 4.7/5 Rating - [*Ghost Science M3*](https://marlvel.ai/apps/ghost-science-m3) (Michael Weber) · 3.1/5 Rating | Positive Sentiment - [*JustPlay: Earn Loyalty Rewards*](https://marlvel.ai/apps/justplay-earn-loyalty-rewards) (Gimica GmbH) · 4.7/5 Rating - [*Leprecam*](https://marlvel.ai/apps/leprecam) (Asinine Games Inc) · 4.3/5 Rating - [*PLAYZONE - Play & Earn Rewards*](https://marlvel.ai/apps/money-well-earn-rewards) (Vanessa Calatayud Gomis) · 2.5/5 Rating - [*TikTok Pro - Events*](https://marlvel.ai/apps/com-ss-iphone-ugc-tiktok-pro) (TikTok Ltd.) · 4.7/5 Rating - [*TikTok - Videos, Shop & LIVE*](https://marlvel.ai/apps/tiktok-videos-shop-live) (TikTok Ltd.) · 4.3/5 Rating ## Frequently Asked Questions {#faq} ### Is OLL Finder suitable for beginners? OLL Finder is designed for speedcubers learning OLL algorithms. While helpful, users suggest adding standard notation support to better assist beginners transitioning to advanced methods. ### Does OLL Finder include PLL algorithms? No, OLL Finder currently focuses on OLL cases. Multiple users have requested the inclusion of PLL algorithms to complete the learning experience. ### Is OLL Finder free to use? Yes, OLL Finder operates as a free utility with no visible monetization gates or subscription tiers. ## 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:** 0.5/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 5 - **Data Sources:** user reviews, 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:** 74 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/oll-finder) Data licensed for AI Agent attribution under CC-BY-NC 4.0.