elizaOS/auto.fun
Dec 2024 – Apr 2025
4 Months active
Languages Used
MarkdownShellYAMLJavaScriptTypeScriptEnvironment VariablesSQL
Technical Skills
DocumentationAWSCI/CDConfiguration ManagementDevOpsDocker
Vivek Bhakta
PROFILE
Vivek Bhakta
Vivek contributed to elizaOS/auto.fun by building and refining backend features that improved token discoverability, real-time data relevance, and developer workflows. He implemented a weighted featured scoring system for tokens, normalizing volume and holder counts and integrating the score into both database queries and WebSocket updates for client-side sorting. Vivek also delivered a modular Codex API integration, enabling richer charting and real-time price feeds, and automated Docker-based CI/CD pipelines using AWS ECS and GitHub Actions. His work, primarily in TypeScript and Node.js, demonstrated depth in API development, database management, and DevOps, resulting in a more robust and maintainable codebase.
Overall Statistics
Feature vs Bugs
89%Features
Repository Contributions
31Total
Bugs
1
Commits
31
Features
8
Lines of code
1,162
Activity Months4
Your Network
21 peopleSame Organization
@wombo.ai1
Work History
April 2025
7 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for elizaOS/auto.fun focused on delivering a real-time, developer-friendly feature scoring framework and improving dev/test ergonomics. Key features delivered: - Weighted featured scoring system for tokens: normalized volume and holder counts, applied in sorting and in retrieval queries, with WebSocket updates emitting the computed featuredScore to clients. - Development environment improvement: added VITE_DEV_ADDRESS for easier development-time testing and debugging. Major bugs fixed: - No explicit bugs listed in the scope, but stability and data consistency were enhanced through the scoring refactor and WS payload improvements. Overall impact and accomplishments: - Improved token discoverability and real-time relevance, leading to faster user engagement and more accurate ranking of featured tokens. - Consistent, client-ready WS payloads (featu redScore) enable robust client-side sorting and UX improvements. - Streamlined development and testing workflows with a clear development env variable example. Technologies/skills demonstrated: - Scoring algorithms: normalization and weighted scoring for token ranking; real-time data propagation via WebSockets. - Code quality and reuse: creation of reusable helpers and utilities for featured sorting and WS updates. - Dev-ops and frontend/backend collaboration: Vite configuration and environment variable integration. Commits illustrating progress: - 9c978c40b6f97c8aaace7485346813bd26766550: create new helper functions for featuredSort scores - a754f308ce92b76b4dac32278406bd55b18f4657: use new featured sort score - bf0a023767b632e7f22f36a253fc13353b065efe: create new util fucntions so we can reuse this in WS updates - 82e5b6952b8c20fa66045a85f7f5ca544ad6b31d: return the weightedScore to the client so they can sort later on WS updates - a24f0047054f66c28bf8f3238d11bdd1a711b4d3: weightedScore -> featuredScore - 662a521d5fcd2c1782e144d7a549d336067a8a07: add featuredScore to ws updates - a44ab4637941ed434b7314db31fa393b5bcdfdef: add vite dev address
7 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for elizaOS/auto.fun focused on delivering a real-time, developer-friendly feature scoring framework and improving dev/test ergonomics. Key features delivered: - Weighted featured scoring system for tokens: normalized volume and holder counts, applied in sorting and in retrieval queries, with WebSocket updates emitting the computed featuredScore to clients. - Development environment improvement: added VITE_DEV_ADDRESS for easier development-time testing and debugging. Major bugs fixed: - No explicit bugs listed in the scope, but stability and data consistency were enhanced through the scoring refactor and WS payload improvements. Overall impact and accomplishments: - Improved token discoverability and real-time relevance, leading to faster user engagement and more accurate ranking of featured tokens. - Consistent, client-ready WS payloads (featu redScore) enable robust client-side sorting and UX improvements. - Streamlined development and testing workflows with a clear development env variable example. Technologies/skills demonstrated: - Scoring algorithms: normalization and weighted scoring for token ranking; real-time data propagation via WebSockets. - Code quality and reuse: creation of reusable helpers and utilities for featured sorting and WS updates. - Dev-ops and frontend/backend collaboration: Vite configuration and environment variable integration. Commits illustrating progress: - 9c978c40b6f97c8aaace7485346813bd26766550: create new helper functions for featuredSort scores - a754f308ce92b76b4dac32278406bd55b18f4657: use new featured sort score - bf0a023767b632e7f22f36a253fc13353b065efe: create new util fucntions so we can reuse this in WS updates - 82e5b6952b8c20fa66045a85f7f5ca544ad6b31d: return the weightedScore to the client so they can sort later on WS updates - a24f0047054f66c28bf8f3238d11bdd1a711b4d3: weightedScore -> featuredScore - 662a521d5fcd2c1782e144d7a549d336067a8a07: add featuredScore to ws updates - a44ab4637941ed434b7314db31fa393b5bcdfdef: add vite dev address
April 2025
March 2025
17 Commits • 3 Features
Mar 1, 2025March 2025: Delivered core Codex API integration and pricing data enhancements, strengthened token workflows, and refined discovery and validation capabilities in elizaOS/auto.fun. Technical work enabled richer charting with a modular Codex API client, new candlestick data endpoint (fetchCodexBars), and real-time price feed conversion for improved dashboards; extended partner-driven import workflows with a new token status; improved token discovery with Featured sorting; and hardened token validation to reduce edge-case failures.
March 2025
17 Commits • 3 Features
Mar 1, 2025March 2025: Delivered core Codex API integration and pricing data enhancements, strengthened token workflows, and refined discovery and validation capabilities in elizaOS/auto.fun. Technical work enabled richer charting with a modular Codex API client, new candlestick data endpoint (fetchCodexBars), and real-time price feed conversion for improved dashboards; extended partner-driven import workflows with a new token status; improved token discovery with Featured sorting; and hardened token validation to reduce edge-case failures.
February 2025
6 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for elizaOS/auto.fun: Implemented Docker-based development and deployment setup and CI/CD automation, enhancing reproducibility, push-to-ECR tagging by commit hash, and automated ECS updates for dev/prod. No major bugs fixed this month; primary focus on delivering robust delivery pipelines and improving developer onboarding.
6 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for elizaOS/auto.fun: Implemented Docker-based development and deployment setup and CI/CD automation, enhancing reproducibility, push-to-ECR tagging by commit hash, and automated ECS updates for dev/prod. No major bugs fixed this month; primary focus on delivering robust delivery pipelines and improving developer onboarding.
February 2025
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for elizaOS/auto.fun focused on documentation enhancements to improve onboarding, branding, and clarity for SerLaunchAlot WebApp. The work completed is documentation-only, maintaining stability while improving external contributor and user experience.
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for elizaOS/auto.fun focused on documentation enhancements to improve onboarding, branding, and clarity for SerLaunchAlot WebApp. The work completed is documentation-only, maintaining stability while improving external contributor and user experience.
Activity
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Quality Metrics
Correctness90.6%
Maintainability93.2%
Architecture88.8%
Performance87.0%
AI Usage25.2%
Skills & Technologies
Programming Languages
Environment VariablesJavaScriptMarkdownSQLShellTypeScriptYAML
Technical Skills
API DevelopmentAPI IntegrationAWSBackend DevelopmentCI/CDCode CleanupCode ExportCode RefactoringConfiguration ManagementData FetchingDatabase AggregationDatabase InteractionDatabase ManagementDatabase Query OptimizationDevOps
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