{ "timestamp": "2025-07-02T21:26:15.201Z", "sections": [ { "headline": "Ethical TikTok Growth Tracker", "description": "An application designed to help TikTok users grow their accounts ethically by tracking genuine engagement metrics like comments, shares, and likes. The app provides users with insights and tips on content creation to improve natural growth.", "key_points": [ "Focuses on genuine engagement rather than artificial follower count.", "Offers tips and analytics for improving content strategy.", "Helps maintain account credibility and avoid violations of TikTok's terms of service." ] }, { "headline": "Reciprocal Engagement Network", "description": "A platform for TikTok users to connect and collaborate by engaging with each other's content. Users can find others with similar interests to mutually comment, share, and engage with content, fostering genuine growth.", "key_points": [ "Encourages real interaction between users with similar interests.", "Boosts organic reach and visibility through reciprocal engagement.", "Builds a community of supportive content creators." ] }, { "headline": "Content Authenticity Checker", "description": "A tool for TikTok users to analyze their content's authenticity score based on metrics like originality, engagement, and viewer retention. The app provides feedback to enhance content appeal and authenticity.", "key_points": [ "Analyzes content for originality and viewer engagement.", "Provides actionable feedback to improve content authenticity.", "Helps users maintain a genuine and credible online presence." ] }, { "headline": "TikTok Brand Integrity Dashboard", "description": "A dashboard that monitors the integrity of a TikTok account by tracking real versus artificial engagement indicators. It alerts users to potential violations and offers strategies for maintaining a healthy account.", "key_points": [ "Tracks real and artificial engagement metrics.", "Alerts users to potential violations of TikTok's terms.", "Provides strategies for maintaining a genuine online presence." ] }, { "headline": "Community Engagement Workshop", "description": "An interactive online workshop series that teaches TikTok users best practices for growing their accounts through community engagement and collaboration, focusing on ethical strategies.", "key_points": [ "Teaches ethical growth strategies through community engagement.", "Encourages collaboration among TikTok users.", "Focuses on sustainable and genuine account growth." ] }, { "title": "Ethical TikTok Growth Tracker", "description": "An application designed to help TikTok users grow their accounts ethically by tracking genuine engagement metrics like comments, shares, and likes. The app provides users with insights and tips on content creation to improve natural growth.", "key_points": [ "Focuses on genuine engagement rather than artificial follower count.", "Offers tips and analytics for improving content strategy.", "Helps maintain account credibility and avoid violations of TikTok's terms of service." ], "technical_requirements": [ "API integration with TikTok for data access", "Backend server for data processing and analytics", "Frontend for user interface", "Data visualization tools for metrics" ], "team_size": 3, "timeframe": { "duration": "Mini-Project", "range": "2-3 months" }, "quick_win_potential": false, "potential_risks": [ "API access limitations or changes by TikTok", "Ensuring compliance with TikTok's terms of service", "Data privacy and security concerns", "true" ] }, { "title": "Reciprocal Engagement Network", "description": "A platform for TikTok users to connect and collaborate by engaging with each other's content. Users can find others with similar interests to mutually comment, share, and engage with content, fostering genuine growth.", "key_points": [ "Encourages real interaction between users with similar interests.", "Boosts organic reach and visibility through reciprocal engagement.", "Builds a community of supportive content creators." ], "technical_requirements": [ "TikTok API integration", "User matching algorithm", "Scalable backend infrastructure", "Web and mobile app development" ], "team_size": 4, "timeframe": { "duration": "Mini-Project", "range": "2-3 months" }, "quick_win_potential": false, "potential_risks": [ "TikTok API usage restrictions", "Scalability issues with high user volume", "User privacy and data protection concerns", "true" ] } ], "offerings": [ { "headline": "Ethical TikTok Growth Tracker", "description": "An application designed to help TikTok users grow their accounts ethically by tracking genuine engagement metrics like comments, shares, and likes. The app provides users with insights and tips on content creation to improve natural growth.", "key_points": [ "Focuses on genuine engagement rather than artificial follower count.", "Offers tips and analytics for improving content strategy.", "Helps maintain account credibility and avoid violations of TikTok's terms of service." ], "github": { "projectName": "ethical-tiktok-growth-tracker", "description": "The Ethical TikTok Growth Tracker is a comprehensive analytics platform that helps content creators monitor and improve their TikTok presence through legitimate engagement metrics. The application collects and analyzes user interaction data, providing detailed insights into content performance while focusing on authentic growth strategies that comply with TikTok's terms of service.\n\nThe platform features an intuitive dashboard that displays real-time engagement statistics, trend analysis, and actionable recommendations for content optimization. Users can track their progress over time, identify their most successful content types, and receive personalized suggestions for improving their content strategy while maintaining ethical growth practices.", "estimatedFiles": 45, "codebase": { "frontend": "8000", "backend": "6000", "other": "1500" }, "timeToProgram": "12 weeks", "creaturesRequired": 7, "suggestedTechStack": [ "React", "Node.js", "Express", "MongoDB", "TikTok API", "Redux", "Chart.js", "AWS Lambda", "Docker" ], "mainChallenges": [ "Implementing reliable TikTok API integration with rate limiting", "Building accurate engagement analytics algorithms", "Ensuring real-time data synchronization across multiple users", "Developing intelligent content recommendation system" ] }, "pr_analysis": { "isPRFeasible": "NA", "description": "This needs to be built as a standalone analytics application that connects to BasedAI via the existing RPC interface. It would track TikTok engagement metrics, store historical data, calculate growth trends, and provide recommendations while respecting TikTok's API rate limits. The app would use React for the frontend dashboard, Node.js/Express for the analytics backend, MongoDB for metric storage, and integrate with both TikTok's API and BasedAI's RPC endpoints for on-chain verification of content authenticity.", "estimatedTokens": 15500, "basedGodScore": 750, "targetFiles": [], "newFiles": [ "src/components/Dashboard.tsx", "src/components/MetricsDisplay.tsx", "src/components/GrowthChart.tsx", "src/components/ContentAnalyzer.tsx", "src/services/tiktokAPI.ts", "src/services/basedaiRPC.ts", "src/utils/metricCalculations.ts", "src/utils/recommendations.ts", "server/routes/metrics.js", "server/models/ContentMetrics.js", "server/services/TikTokService.js", "server/services/AnalyticsService.js" ], "suggestedBranch": "feature/tiktok-analytics-platform", "complexityRating": 7, "implementationRisks": [ "TikTok API rate limiting and quota management", "Data consistency across platform changes", "Real-time synchronization overhead", "Privacy compliance with user data", "Scalability with large creator datasets", "API deprecation risks", "Cross-platform authentication complexity" ], "mainLocation": "src/components/Dashboard.tsx" } }, { "headline": "Reciprocal Engagement Network", "description": "A platform for TikTok users to connect and collaborate by engaging with each other's content. Users can find others with similar interests to mutually comment, share, and engage with content, fostering genuine growth.", "key_points": [ "Encourages real interaction between users with similar interests.", "Boosts organic reach and visibility through reciprocal engagement.", "Builds a community of supportive content creators." ], "github": { "projectName": "reciprocal-engagement-network", "description": "The Reciprocal Engagement Network is a dynamic platform that connects TikTok content creators through meaningful interactions and mutual engagement. The system uses advanced matching algorithms to pair users with similar interests and content styles, facilitating organic growth through genuine engagement while preventing spam and artificial interactions.\n\nThe platform features a sophisticated tracking system for managing reciprocal interactions, real-time notifications for engagement opportunities, and detailed analytics to measure the effectiveness of collaborations. Users can discover potential collaborators through an intuitive interface, schedule engagement sessions, and maintain a healthy ratio of giving and receiving engagement from other authentic creators.", "estimatedFiles": 45, "codebase": { "frontend": "8000", "backend": "6500", "other": "1500" }, "timeToProgram": "14", "creaturesRequired": 7, "suggestedTechStack": [ "React", "Node.js", "PostgreSQL", "Redis", "TikTok API", "Socket.io", "AWS", "TypeScript", "GraphQL" ], "mainChallenges": [ "Implementing fair and abuse-resistant engagement matching algorithms", "Managing real-time synchronization of user interactions and engagement tracking", "Ensuring scalability with high concurrent user activities", "Maintaining compliance with TikTok's API terms and rate limits" ] }, "pr_analysis": { "isPRFeasible": "NA", "description": "The Reciprocal Engagement Network would be best implemented as a standalone application that integrates with TikTok's API and uses its own database and matching system. It requires real-time user interaction tracking, sophisticated engagement pairing algorithms, and dedicated infrastructure to handle high concurrent user activity. The system would use React for the frontend interface, Node.js/Express for the API layer, PostgreSQL for persistent storage, Redis for caching and real-time features, and Socket.io for live notifications. The engagement matching system would run as a separate service that continuously processes the engagement queue and pairs creators based on content similarity scores and engagement ratios.", "estimatedTokens": 16000, "basedGodScore": 850, "targetFiles": [], "newFiles": [ "src/services/engagement/MatchingService.ts", "src/services/analytics/EngagementMetrics.ts", "src/services/tiktok/TikTokAPI.ts", "src/models/User.ts", "src/models/Engagement.ts", "src/controllers/EngagementController.ts", "src/routes/api.ts", "src/workers/matching.ts", "src/workers/metrics.ts", "frontend/components/Dashboard.tsx", "frontend/components/EngagementQueue.tsx", "frontend/components/Analytics.tsx", "docker-compose.yml", "k8s/deployment.yml" ], "suggestedBranch": "feature/reciprocal-engagement-network", "complexityRating": 8, "implementationRisks": [ "TikTok API rate limiting and terms of service compliance", "Scalability challenges with real-time engagement matching", "Gaming/abuse of the reciprocal system", "User privacy and data protection concerns", "Performance degradation with high user load", "Network effects dependency for initial adoption" ], "mainLocation": "src/services/engagement/" } }, { "headline": "Content Authenticity Checker", "description": "A tool for TikTok users to analyze their content's authenticity score based on metrics like originality, engagement, and viewer retention. The app provides feedback to enhance content appeal and authenticity.", "key_points": [ "Analyzes content for originality and viewer engagement.", "Provides actionable feedback to improve content authenticity.", "Helps users maintain a genuine and credible online presence." ], "github": { "projectName": "tiktok-content-authenticity", "description": "The Content Authenticity Checker is a sophisticated analysis tool designed specifically for TikTok creators who want to validate and improve their content's authenticity. By leveraging machine learning algorithms and engagement metrics, the system processes video content to generate comprehensive authenticity scores based on factors including originality detection, engagement patterns, and viewer retention rates.\n\nThe platform provides creators with detailed feedback reports and actionable recommendations to enhance their content's genuine appeal. Using advanced data visualization and trend analysis, users can track their authenticity metrics over time, compare performance against platform benchmarks, and receive AI-powered suggestions for maintaining authentic engagement with their audience.", "estimatedFiles": 45, "codebase": { "frontend": "8000", "backend": "6500", "other": "2000" }, "timeToProgram": "14 weeks", "creaturesRequired": 7, "suggestedTechStack": [ "React", "TypeScript", "Node.js", "Python", "TensorFlow", "PostgreSQL", "Redis", "Docker", "AWS", "TikTok API" ], "mainChallenges": [ "Implementing reliable content originality detection algorithms", "Processing and analyzing large volumes of video data efficiently", "Maintaining real-time performance with complex scoring calculations", "Ensuring accuracy of engagement metrics across different content types" ] }, "pr_analysis": { "isPRFeasible": "NA", "description": "The TikTok Content Authenticity Checker should be implemented as a standalone AI agent application that interacts with BasedAI through Agent Compute Contracts (ACCs). It would analyze video content using TensorFlow models for originality detection, engagement pattern analysis, and viewer retention metrics. The system would maintain a distributed database of content fingerprints and authenticity scores, with real-time updates pushed through the BasedAI network. The frontend would provide creators with detailed analytics dashboards and actionable recommendations.", "estimatedTokens": 16500, "basedGodScore": 850, "targetFiles": [], "newFiles": [ "src/models/authenticity_scorer.py", "src/models/engagement_analyzer.py", "src/data/content_fingerprint.py", "src/api/tiktok_interface.py", "src/dashboard/metrics_view.tsx", "src/dashboard/recommendations.tsx", "src/agents/authenticity_agent.py", "src/agents/trend_analyzer.py", "src/contracts/authenticity_acc.rs", "tests/", "deployment/" ], "suggestedBranch": "feature/tiktok-authenticity-agent", "complexityRating": 8, "implementationRisks": [ "TikTok API rate limits and access restrictions", "False positives in originality detection", "High computational requirements for real-time video analysis", "Content fingerprinting accuracy at scale", "Privacy considerations for creator data", "Network latency affecting real-time scoring" ], "mainLocation": "src/agents/authenticity_agent.py" } }, { "headline": "TikTok Brand Integrity Dashboard", "description": "A dashboard that monitors the integrity of a TikTok account by tracking real versus artificial engagement indicators. It alerts users to potential violations and offers strategies for maintaining a healthy account.", "key_points": [ "Tracks real and artificial engagement metrics.", "Alerts users to potential violations of TikTok's terms.", "Provides strategies for maintaining a genuine online presence." ], "github": { "projectName": "tiktok-integrity-dashboard", "description": "The TikTok Brand Integrity Dashboard is a comprehensive monitoring solution that helps content creators and brands maintain authentic engagement on their TikTok accounts. By analyzing various metrics such as like-to-view ratios, comment patterns, follower growth rates, and engagement timestamps, the dashboard identifies potential artificial activity and provides real-time alerts when suspicious patterns are detected.\n\nThe system employs advanced analytics to establish baseline engagement patterns and flags deviations that might indicate bot activity or paid engagement. Users receive detailed reports with actionable insights, including visualization of engagement trends, geographical distribution of followers, and specific recommendations for maintaining account integrity in compliance with TikTok's terms of service.", "estimatedFiles": 45, "codebase": { "frontend": "8000", "backend": "6000", "other": "2000" }, "timeToProgram": "12", "creaturesRequired": 7, "suggestedTechStack": [ "React", "TypeScript", "Node.js", "Express", "MongoDB", "Redis", "TikTok API", "D3.js", "Docker", "AWS" ], "mainChallenges": [ "Implementing reliable bot detection algorithms", "Managing rate limits and data volume from TikTok API", "Real-time processing of engagement metrics", "Ensuring accuracy of anomaly detection systems" ] }, "pr_analysis": { "isPRFeasible": "NA", "description": "This would be built as a standalone monitoring application that integrates with TikTok's API to analyze engagement patterns and detect artificial activity. It requires a React frontend for visualizations, Node.js backend for data processing, MongoDB for storing historical patterns, and Redis for caching real-time metrics. The system would run continuous analysis of like-to-view ratios, comment patterns, follower growth rates and engagement timestamps to establish baseline behaviors and flag anomalies.", "estimatedTokens": 16000, "basedGodScore": 750, "targetFiles": [], "newFiles": [ "src/components/DashboardLayout.tsx", "src/components/MetricsPanel.tsx", "src/components/AnomalyAlerts.tsx", "src/components/EngagementCharts.tsx", "src/lib/tiktokApi.ts", "src/lib/analysis.ts", "src/lib/detection.ts", "src/server/routes/api.ts", "src/server/models/Account.ts", "src/server/models/Engagement.ts", "src/server/services/anomalyDetection.ts", "docker-compose.yml", "Dockerfile" ], "suggestedBranch": "feature/tiktok-integrity-dashboard", "complexityRating": 7, "implementationRisks": [ "TikTok API rate limits and availability", "False positive detections requiring tuning", "Processing large volumes of engagement data", "Real-time analysis performance at scale", "Keeping up with evolving bot behaviors", "Data storage costs for historical analysis" ], "mainLocation": "src/components/DashboardLayout.tsx" } }, { "headline": "Community Engagement Workshop", "description": "An interactive online workshop series that teaches TikTok users best practices for growing their accounts through community engagement and collaboration, focusing on ethical strategies.", "key_points": [ "Teaches ethical growth strategies through community engagement.", "Encourages collaboration among TikTok users.", "Focuses on sustainable and genuine account growth." ], "github": { "projectName": "tiktok-community-workshop", "description": "A comprehensive online learning platform designed to help TikTok content creators build authentic engagement through ethical growth strategies. The platform offers interactive workshop modules, real-time collaboration features, and progress tracking to guide users through proven community-building techniques.\n\nThe system includes video-based lessons, practical exercises, peer review capabilities, and analytics tools to measure engagement metrics. Users can participate in guided practice sessions, receive feedback from fellow creators, and access a resource library of best practices for sustainable account growth.", "estimatedFiles": 45, "codebase": { "frontend": "8500", "backend": "4200", "other": "1200" }, "timeToProgram": "12", "creaturesRequired": 7, "suggestedTechStack": [ "React", "Node.js", "Express", "MongoDB", "WebRTC", "Redux", "TikTok API", "Socket.io", "AWS S3", "Docker" ], "mainChallenges": [ "Implementing real-time collaboration features for workshop participants", "Integrating securely with TikTok's API for analytics and account management", "Building a scalable video streaming system for workshop content", "Developing an accurate engagement metrics tracking system" ] }, "pr_analysis": { "isPRFeasible": "NA", "description": "This should be implemented as a standalone web application that integrates with the existing BasedAI ecosystem. The platform requires its own frontend, backend APIs, and database to handle workshop content, user progress tracking, and real-time collaboration features. It would interface with TikTok's API for analytics and BasedAI's core systems for authentication and payments. The application architecture should be modular with separate services for video streaming, peer review, analytics processing, and workshop management.", "estimatedTokens": 13900, "basedGodScore": 850, "targetFiles": [], "newFiles": [ "src/components/VideoPlayer.tsx", "src/components/WorkshopModule.tsx", "src/components/ProgressTracker.tsx", "src/components/PeerReview.tsx", "src/services/tiktok-api.ts", "src/services/analytics.ts", "src/services/workshop.ts", "src/pages/Dashboard.tsx", "src/pages/Workshop.tsx", "backend/controllers/", "backend/models/", "backend/routes/", "docker-compose.yml" ], "suggestedBranch": "feature/community-workshop-platform", "complexityRating": 7, "implementationRisks": [ "TikTok API rate limits and changes", "Video streaming infrastructure costs", "Real-time collaboration scaling challenges", "Workshop content moderation", "Data privacy compliance", "Integration complexity with existing auth system" ], "mainLocation": "src/pages/Workshop.tsx" } }, { "title": "Ethical TikTok Growth Tracker", "description": "An application designed to help TikTok users grow their accounts ethically by tracking genuine engagement metrics like comments, shares, and likes. The app provides users with insights and tips on content creation to improve natural growth.", "key_points": [ "Focuses on genuine engagement rather than artificial follower count.", "Offers tips and analytics for improving content strategy.", "Helps maintain account credibility and avoid violations of TikTok's terms of service." ], "technical_requirements": [ "API integration with TikTok for data access", "Backend server for data processing and analytics", "Frontend for user interface", "Data visualization tools for metrics" ], "team_size": 3, "timeframe": { "duration": "Mini-Project", "range": "2-3 months" }, "quick_win_potential": false, "potential_risks": [ "API access limitations or changes by TikTok", "Ensuring compliance with TikTok's terms of service", "Data privacy and security concerns", "true" ], "github": { "projectName": "ethical-tiktok-growth-tracker", "description": "The Ethical TikTok Growth Tracker is a comprehensive analytics platform that helps content creators monitor and improve their TikTok presence through legitimate engagement metrics. By integrating directly with TikTok's API, the application provides detailed insights into authentic user interactions, content performance, and audience behavior patterns while ensuring compliance with platform guidelines.\n\nThe system features an intuitive dashboard displaying real-time engagement analytics, content performance trends, and actionable recommendations for improvement. With built-in data visualization tools and automated reporting capabilities, creators can make informed decisions about their content strategy while maintaining ethical growth practices and avoiding artificial engagement tactics.", "estimatedFiles": 45, "codebase": { "frontend": "6000", "backend": "4500", "other": "1500" }, "timeToProgram": "8", "creaturesRequired": 4, "suggestedTechStack": [ "React", "Node.js", "Express", "MongoDB", "Redis", "D3.js", "TikTok API", "Docker", "JWT" ], "mainChallenges": [ "Implementing robust rate limiting and caching for TikTok API calls", "Ensuring data accuracy and consistency across multiple API endpoints", "Building scalable real-time analytics processing pipeline", "Maintaining security and privacy of user analytics data" ] }, "pr_analysis": { "isPRFeasible": "NA", "description": "This should be implemented as a standalone analytics application that integrates with TikTok's API to provide ethical growth tracking. The app would run as a Node.js/React service that authenticates with TikTok, pulls engagement metrics through their API, processes them through custom analytics pipelines, and presents insights via an interactive dashboard. Core features include real-time metric tracking, trend analysis, audience behavior patterns, and actionable recommendations - all while enforcing rate limits and ethical engagement practices.", "estimatedTokens": 12000, "basedGodScore": 750, "targetFiles": [], "newFiles": [ "src/api/tiktok.ts", "src/services/analytics.ts", "src/services/cache.ts", "src/components/Dashboard.tsx", "src/components/MetricsPanel.tsx", "src/components/TrendingContent.tsx", "src/components/AudienceInsights.tsx", "src/utils/rateLimit.ts", "src/utils/dataProcessing.ts", "src/types/metrics.ts", "src/config/api.ts", "docker-compose.yml", "Dockerfile" ], "suggestedBranch": "feature/ethical-tiktok-analytics", "complexityRating": 7, "implementationRisks": [ "TikTok API rate limiting and quota management", "Data accuracy and consistency across API endpoints", "Real-time processing scalability", "Privacy compliance with user data", "API version compatibility", "Cache invalidation complexity", "High availability requirements" ], "mainLocation": "src/services/analytics.ts" } }, { "title": "Reciprocal Engagement Network", "description": "A platform for TikTok users to connect and collaborate by engaging with each other's content. Users can find others with similar interests to mutually comment, share, and engage with content, fostering genuine growth.", "key_points": [ "Encourages real interaction between users with similar interests.", "Boosts organic reach and visibility through reciprocal engagement.", "Builds a community of supportive content creators." ], "technical_requirements": [ "TikTok API integration", "User matching algorithm", "Scalable backend infrastructure", "Web and mobile app development" ], "team_size": 4, "timeframe": { "duration": "Mini-Project", "range": "2-3 months" }, "quick_win_potential": false, "potential_risks": [ "TikTok API usage restrictions", "Scalability issues with high user volume", "User privacy and data protection concerns", "true" ], "github": { "projectName": "reciprocal-engagement-network", "description": "A social networking platform that facilitates meaningful connections between TikTok content creators through algorithmic matching and reciprocal engagement features. The system integrates with TikTok's API to analyze user content, interests, and engagement patterns, enabling creators to find and connect with like-minded individuals who share similar content themes and audience demographics.\n\nThe platform includes a sophisticated matching engine that considers multiple factors including content categories, posting frequency, and engagement styles to suggest optimal collaboration partners. Users can track their mutual engagement activities, schedule interaction times, and maintain engagement streaks through an intuitive dashboard, while the system ensures authentic and balanced participation through smart monitoring algorithms.", "estimatedFiles": 45, "codebase": { "frontend": "8000", "backend": "6500", "other": "2000" }, "timeToProgram": "10 weeks", "creaturesRequired": 7, "suggestedTechStack": [ "React Native", "Node.js", "PostgreSQL", "Redis", "AWS Lambda", "GraphQL", "TikTok API", "Socket.io", "Docker" ], "mainChallenges": [ "Implementing rate limiting and caching for TikTok API compliance", "Designing an efficient user matching algorithm that scales", "Building real-time engagement tracking and verification system", "Ensuring data privacy and security across user interactions" ] }, "pr_analysis": { "isPRFeasible": "NA", "description": "This should be implemented as a standalone application using React Native for the frontend and Node.js/GraphQL for the backend, integrating with TikTok's API. The system requires its own database and state management to track creator relationships, engagement metrics, and algorithmic matching. The core matching engine would analyze content themes, engagement patterns and creator stats via TikTok's API to suggest optimal collaboration partners. Real-time engagement tracking and verification would be handled through Socket.io connections.", "estimatedTokens": 16500, "basedGodScore": 850, "targetFiles": [], "newFiles": [ "src/api/tiktok.ts", "src/api/matching.ts", "src/components/Dashboard.tsx", "src/components/CreatorProfile.tsx", "src/components/EngagementMetrics.tsx", "src/services/matching.ts", "src/services/verification.ts", "src/types/creator.ts", "src/types/engagement.ts", "src/utils/algorithms.ts", "src/utils/metrics.ts" ], "suggestedBranch": "feature/creator-engagement-network", "complexityRating": 8, "implementationRisks": [ "TikTok API rate limits and quotas", "Real-time engagement verification accuracy", "Scalability of matching algorithm", "Gaming/abuse of engagement tracking", "Data privacy compliance", "Creator authentication security" ], "mainLocation": "src/services/matching.ts" } } ], "basedGodWeight": 5650, "brain": "NA" }