--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Doctor Go" developer_entity: "Lim Sangjin" bundle_id: "com.jin.baduk" app_store_id: "6766081867" category: "Games" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-08-10" report_date: "2026-10-09" last_verified: "2026-10-09T00:00:00.000Z" report_version: "1.0.6" total_reviews: 0 confidence: "low" confidence_score: 0.2 data_age_days: 36 momentum_velocity: "maintenance" intelligence_version: 2 tags: ["games", "free", "mobile app", "app review", "app analysis", "beginners", "intermediate", "players"] canonical_url: "https://marlvel.ai/apps/doctor-go" license: "CC-BY-NC 4.0" content_version: "v2" --- # Doctor Go Intelligence Report ## TL;DR {#tldr} - **Category**: Games · Free > **TL;DR:** Doctor Go is a games app by Lim Sangjin, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Doctor Go is a games app by Lim Sangjin. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Games | | **Developer** | Lim Sangjin | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.2/1.0) | | **Data Age** | 36d | ## Metadata & Market Performance - **Publisher:** Lim Sangjin - **Category:** Games - **Target Audience:** Beginners and intermediate players seeking to learn or practice the game of Go through structured lessons and puzzles. - **Platforms:** iOS - **Version Reviewed:** 1.0.6 - **Report Date:** 2026-10-09 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.2/1.0) - **App Store ID (iOS):** 6766081867 - **Bundle ID:** com.jin.baduk - **Data Window:** Analysis based on signals collected up to 2026-10-09 ## Executive Snapshot **What it is:** Doctor Go is a free educational app for learning the game of Go, featuring interactive lessons and puzzles on iOS. **Why users hire it:** The app removes the financial barrier to entry for new players, displacing paid alternatives that gate basic tactical training. ## App DNA (Features & Intent) - **[Standard] Interactive Lesson System:** Thirty chapter-based lessons featuring board examples and interactive moves with instant feedback - **[Standard] Practical Puzzle Library:** Collection of 161 puzzles covering life-and-death, ladder, endgame, and capturing-race scenarios - **[Standard] AI Opponent Tiers:** Four difficulty levels using MCTS-based heuristics for simulated play * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. ## Market Position {#market-position} Doctor Go occupies a niche as a free, educational utility in the Games category. Its lack of monetization and focus on structured learning differentiates it from competitors that rely on subscriptions or ad-supported models. ## Monetization Strategy - **Model:** Free - **Tiers:** Fully free, no in-app purchases or subscriptions - **Analysis:** The app operates as a free, non-monetized utility with no ads or gated content. ## SWOT Analysis {#swot} **Core Strengths:** - Fully free, no-ads model removes friction for new users **Growth Levers:** - Adding a social-play mode could leverage existing Game Center integration ## What's New - **Latest (v1.0.6, 1 months ago):** Expanded localization by adding complete Simplified and Traditional Chinese translations across all lessons, puzzles, glossary terms, and learning screens. ## App Momentum (Maintenance) {#momentum} - Expanded localization to Chinese markets. - Ships maintenance-only updates. > **Cadence:** 1 total versions · 1 majors in last 6 months · 59 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Doctor Go is a games app that is completely free. > **Bottom Line:** Doctor Go succeeds as a frictionless entry point for new players, but its maintenance-mode cadence limits long-term retention. Introducing social-play features would unlock the community potential of its Game Center integration, preventing users from migrating to more active platforms. **Best for:** Beginners and intermediate players seeking to learn or practice the game of Go through structured lessons and puzzles. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Ship a social-play mode using Game Center because the current focus is purely solo-play → increase long-term retention ### Outlook: Stable The Go learning market is consolidating around apps that offer both structured education and active online communities. Doctor Go is currently advantaged in the beginner segment due to its zero-cost model, but it remains exposed to churn as users seek social play, which the app currently lacks. - ⚪ Recent localization to Chinese markets shows active interest in growth, but the maintenance-only update cadence limits long-term feature expansion. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Doctor Go** (this app) | N/A/5 | N/A | Lim Sangjin | | [Bingo Cash - Win Real Money](https://marlvel.ai/apps/bingo-cash) | 4.7/5 | Excited | Papaya Gaming | | [Royal Match](https://marlvel.ai/apps/royal-match) | 4.7/5 | n/a | Dream Games | | [Temple Run](https://marlvel.ai/apps/temple-run) | 4.3/5 | Mixed | Imangi Studios, LLC | | [2 Player Games : Offline Games](https://marlvel.ai/apps/2-player-games-offline-games) | 4.8/5 | Thrilled | Moreno Maio | | [Avatar Life - love & bit gacha](https://marlvel.ai/apps/avatar-life-love-bit-gacha) | 3.8/5 | n/a | 101XP LIMITED | ## Company Profile - **Developer:** Lim Sangjin - **Website:** [https://jin-apps.s3-website.ap-northeast-2.amazonaws.com/baduk/](https://jin-apps.s3-website.ap-northeast-2.amazonaws.com/baduk/) ## Data Sources & Links - **App Store ID:** 6766081867 - **Dev Site:** [Official Website](https://jin-apps.s3-website.ap-northeast-2.amazonaws.com/baduk/) - **Sources:** Developer website content, App store metadata. ## Related Intel Reports - [*Bingo Cash - Win Real Money*](https://marlvel.ai/apps/bingo-cash) (Papaya Gaming) · 4.7/5 Rating | Positive Sentiment - [*Royal Match*](https://marlvel.ai/apps/royal-match) (Dream Games) · 4.7/5 Rating - [*Temple Run*](https://marlvel.ai/apps/temple-run) (Imangi Studios, LLC) · 4.3/5 Rating - [*2 Player Games : Offline Games*](https://marlvel.ai/apps/2-player-games-offline-games) (Moreno Maio) · 4.8/5 Rating | Excellent Sentiment - [*Avatar Life - love & bit gacha*](https://marlvel.ai/apps/avatar-life-love-bit-gacha) (101XP LIMITED) · 3.8/5 Rating - [*Ball Eater!*](https://marlvel.ai/apps/ball-eater) (Talha Ekren) · N/A Rating - [*Basketball Sim Leagues*](https://marlvel.ai/apps/basketball-sim-leagues) (Bacci Media) · 5.0/5 Rating - [*Battle Run*](https://marlvel.ai/apps/battle-run) (Game Hive Corp.) · 3.9/5 Rating - [*Bingo Bash: Live Bingo Games*](https://marlvel.ai/apps/bingo-bash-live-bingo-games) (Scopely, Inc.) · 4.5/5 Rating - [*Bingo Drive: Live Clash Tour*](https://marlvel.ai/apps/bingo-drive-live-clash-tour) (Gliding Deer) · 4.7/5 Rating ## Frequently Asked Questions {#faq} ### Is Doctor Go suitable for complete beginners? Yes, Doctor Go is designed for beginners, offering thirty chapter-based lessons that teach rules and shapes one step at a time. ### Does Doctor Go have intrusive ads? No, Doctor Go is a fully free app with no ads, no tracking, and no in-app purchases. ### Can I play against other people online? Doctor Go focuses on interactive lessons and AI-based practice; it does not currently support online multiplayer against other people. ### What is a good alternative for online Go play? If you are looking for online multiplayer, you should consider dedicated Go platforms that offer real-time matchmaking and community-driven ranking systems. ## 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:** 36 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/doctor-go) Data licensed for AI Agent attribution under CC-BY-NC 4.0.