--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "AI Go - Baduk, Weiqi" developer_entity: "Shin YuJin" bundle_id: "com.psnv.baduk" app_store_id: "6758116455" category: "Games" primary_platform: "ios" primary_monetization: "Freemium" offline_capable: true market_region: "US" platforms: "iOS & Android" app_last_updated: "2026-07-22" report_date: "2026-08-13" last_verified: "2026-08-13T00:00:00.000Z" report_version: "1.0.2" total_reviews: 0 confidence: "low" confidence_score: 0.2 data_age_days: 3 momentum_velocity: "maintenance" intelligence_version: 3 tags: ["games", "freemium", "mobile app", "app review", "app analysis", "players", "ranging", "beginners"] canonical_url: "https://marlvel.ai/apps/ai-go-baduk-weiqi" license: "CC-BY-NC 4.0" content_version: "v2" --- # AI Go - Baduk, Weiqi Intelligence Report ## TL;DR {#tldr} - **Category**: Games · Freemium > **TL;DR:** AI Go - Baduk, Weiqi is a games app by Shin YuJin, available on iOS & Android. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** AI Go - Baduk, Weiqi is a games app by Shin YuJin. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Games | | **Developer** | Shin YuJin | | **Pricing** | Freemium | | **Platforms** | iOS & Android | | **Confidence** | Low (0.2/1.0) | | **Data Age** | 3d | ## Metadata & Market Performance - **Publisher:** Shin YuJin - **Category:** Games - **Target Audience:** Go players ranging from beginners to advanced dan-level users seeking offline AI training and tactical puzzle practice. - **Platforms:** iOS & Android - **Version Reviewed:** 1.0.2 - **Report Date:** 2026-08-13 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.2/1.0) - **App Store ID (iOS):** 6758116455 - **Bundle ID:** com.psnv.baduk - **Google Play ID:** com.psnv.baduk - **Performance Trend:** Mixed - **Data Window:** Analysis based on signals collected up to 2026-08-13 ## Executive Snapshot **What it is:** AI Go - Baduk, Weiqi is a tactical training app for Go players, featuring an offline KataGo engine and puzzle sets on iOS and Android. **Why users hire it:** Users hire this app for focused, offline skill development and tactical practice that does not require an active internet connection or social interaction. ## App DNA (Features & Intent) - **[Differentiator] KataGo AI Engine:** Offline engine with 30 difficulty levels driving long-term training retention. * *User Intent:* Users want uninterrupted access without internet dependency. - **[Differentiator] Pair Go 2v2:** Local four-player mode increasing session duration on a single device. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Standard] Life-and-Death Puzzles:** 422 categorized Tsumego puzzles increasing daily session frequency. * *User Intent:* Users are motivated by consistent progression and daily incentives. ## Market Position {#market-position} The app occupies a specialized training niche, maintaining a stable presence without the aggressive chart-climbing seen in social-strategy titles. Its reliance on offline utility rather than social network effects limits its grossing potential relative to titles with active tournament loops. ## Monetization Strategy - **Model:** Freemium - **Tiers:** Free with ad-support, In-app purchases for premium content - **Analysis:** Freemium model utilizing Google Play Billing 8 to gate premium features while maintaining an ad-supported entry point. ## SWOT Analysis {#swot} **Core Strengths:** - KataGo engine provides 30 difficulty levels for skill-based training - Pair Go 2v2 enables local multiplayer sessions **Growth Levers:** - Global leaderboards could convert offline training into a social hook ## Recent Changes (v2 → v3) {#recent-changes} The product strategy has shifted from content-based retention to addressing technical debt, specifically prioritizing cloud-save integration to mitigate user churn. **Overall trend**: Mixed **Compared at**: 2026-08-13 ### High-impact changes - **[Added] Cloud-save data loss risk** (swot) ### Medium-impact changes - **[Added] Feature gap identification** (features) - **[Shifted] Strategic focus on social connectivity** (positioning) ## What's New - **Latest (v1.0.9, 3 weeks ago):** Added Google Play Billing 8 support and improved compatibility for Android 16/SDK 36. ## App Momentum (Maintenance) {#momentum} - Ships stability updates only. - Last major release Jan 2026. > **Cadence:** 2 total versions · 0 majors in last 6 months · 21 days since last update · 67 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} AI Go - Baduk, Weiqi is a games app that is free with in-app purchases. > **Bottom Line:** AI Go - Baduk, Weiqi provides a high-fidelity training tool, but its offline-only architecture limits its ability to compete with social-first strategy apps, so the PM must prioritize cloud-sync to secure the existing user base before attempting social expansion. **Best for:** Go players ranging from beginners to advanced dan-level users seeking offline AI training and tactical puzzle practice. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Ship cloud-save integration because it is the primary barrier to long-term user retention → reduce churn risk ### Feature Gaps vs Competitors - Global leaderboards (available in BadukPop but absent here) ### Outlook: Stable The Go training category is consolidating around apps that blend tactical practice with social-first progression loops. AI Go - Baduk, Weiqi remains stable as a utility, but its lack of social connectivity will likely lead to stagnation as users prioritize apps that offer both training and community competition. - ⚪ Recent updates focused on stability and compatibility, indicating the app remains in a maintenance-mode lifecycle rather than active feature expansion. - 🔴 The absence of social-first progression loops leaves the app exposed to churn as users migrate to strategy titles with active tournament schedules. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Freemium | | Platforms | iOS & Android | | Key Features | 3 analyzed | | Trend | Mixed | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **AI Go - Baduk, Weiqi** (this app) | N/A/5 | N/A | Shin YuJin | | [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 | | [Archero](https://marlvel.ai/apps/archero) | 4.5/5 | N/A | HABBY | | [Bejeweled Blitz](https://marlvel.ai/apps/bejeweled-blitz) | 3.3/5 | n/a | PopCap | | [Brawl Stars](https://marlvel.ai/apps/brawl-stars) | 4.5/5 | n/a | Supercell | ## Company Profile - **Developer:** Shin YuJin - **Website:** [https://psnv.co.kr](https://psnv.co.kr) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/ai-go-baduk-weiqi/id6758116455?uo=4) - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.psnv.baduk&hl=en&gl=us) - **Dev Site:** [Official Website](https://psnv.co.kr) - **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 - [*Archero*](https://marlvel.ai/apps/archero) (HABBY) · 4.5/5 Rating - [*Bejeweled Blitz*](https://marlvel.ai/apps/bejeweled-blitz) (PopCap) · 3.3/5 Rating - [*Brawl Stars*](https://marlvel.ai/apps/brawl-stars) (Supercell) · 4.5/5 Rating - [*Hole.io*](https://marlvel.ai/apps/hole-io) (Voodoo) · 3.9/5 Rating - [*Partymasters - Fun Idle Game*](https://marlvel.ai/apps/partymasters-fun-idle-game) (AI Games FZ) · 4.5/5 Rating | Positive Sentiment - [*Temple Run*](https://marlvel.ai/apps/temple-run) (Imangi Studios, LLC) · 4.3/5 Rating - [*YouRiding - Surf and Bodyboard*](https://marlvel.ai/apps/youriding-surf-and-bodyboard) (BoardScore, Inc.) · 4.2/5 Rating - [*Agar.io*](https://marlvel.ai/apps/agar-io) (Miniclip.com) · 4.3/5 Rating ## 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:** 3 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/ai-go-baduk-weiqi) Data licensed for AI Agent attribution under CC-BY-NC 4.0.