Dispatcharr/Dispatcharr
Feb 2026 – May 2026
3 Months active
Languages Used
CSSJavaScriptPythonReactJSONNginx
Technical Skills
DjangoReactback end developmentfront end developmentAPI integrationPython
Jonathan Caicedo
PROFILE
Jonathan Caicedo
Worked on the Dispatcharr/Dispatcharr repository over three months, delivering four features and resolving one bug with a focus on reliability and performance. Built user-facing channel filtering and numbering features, improving stream health monitoring and channel organization. Enhanced data parsing to prevent misinterpretation and runtime errors, and refined UI flows to reduce user friction. Optimized analytics workloads by consolidating Redis calls, adjusting Nginx timeouts, and implementing persistent PostgreSQL connections using django-db-geventpool. Leveraged Python, React, and Django to streamline backend and frontend processes, resulting in faster data access, reduced errors, and improved scalability for analytics and channel management within the application.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
12Total
Bugs
1
Commits
12
Features
4
Lines of code
677
Activity Months3
Your Network
50 peopleShared Repositories
50
Work History
May 2026
6 Commits • 2 Features
May 1, 2026May 2026 highlights reliability and performance improvements for critical analytics workloads. Delivered targeted optimizations in the Stats page data path and database connectivity, resulting in reduced user-facing errors, faster data access, and improved resource utilization across the stack.
6 Commits • 2 Features
May 1, 2026May 2026 highlights reliability and performance improvements for critical analytics workloads. Delivered targeted optimizations in the Stats page data path and database connectivity, resulting in reduced user-facing errors, faster data access, and improved resource utilization across the stack.
May 2026
March 2026
3 Commits • 1 Features
Mar 1, 2026Dispatcharr project, March 2026: Delivered foundational channel management enhancements and strengthened data parsing robustness. Improvements reduce user friction, prevent misinterpretations of provider data, and set up scalable channel organization for future growth.
March 2026
3 Commits • 1 Features
Mar 1, 2026Dispatcharr project, March 2026: Delivered foundational channel management enhancements and strengthened data parsing robustness. Improvements reduce user friction, prevent misinterpretations of provider data, and set up scalable channel organization for future growth.
February 2026
3 Commits • 1 Features
Feb 1, 2026February 2026 - Dispatcharr/Dispatcharr: Delivered a user-facing Stale Streams Channel Filtering feature, enhanced visibility of stale streams, and improved rendering performance in the ChannelsTable. UI refinements and a small performance micro-optimization were implemented to reduce redundant checks and improve maintainability. Commits included: a318d919d8263110fbd088222edc6f69ce1d6b17 (feat: filter channels that contain stale streams; closes: #1025), 31fb27dffc279b2cc34875c16b313b8a4c0424b5 (perf: avoid double-calling row.original.streams - reuse hasStreams), and 4dfe172fc4dfdea911ea2abee2ba0897963b3fd8 (tweak: label name + CSS class name). This work contributes to better monitoring of stream health and reduces rendering overhead for large channel lists.
3 Commits • 1 Features
Feb 1, 2026February 2026 - Dispatcharr/Dispatcharr: Delivered a user-facing Stale Streams Channel Filtering feature, enhanced visibility of stale streams, and improved rendering performance in the ChannelsTable. UI refinements and a small performance micro-optimization were implemented to reduce redundant checks and improve maintainability. Commits included: a318d919d8263110fbd088222edc6f69ce1d6b17 (feat: filter channels that contain stale streams; closes: #1025), 31fb27dffc279b2cc34875c16b313b8a4c0424b5 (perf: avoid double-calling row.original.streams - reuse hasStreams), and 4dfe172fc4dfdea911ea2abee2ba0897963b3fd8 (tweak: label name + CSS class name). This work contributes to better monitoring of stream health and reduces rendering overhead for large channel lists.
February 2026
Activity
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Quality Metrics
Correctness96.6%
Maintainability88.4%
Architecture91.8%
Performance91.8%
AI Usage21.6%
Skills & Technologies
Programming Languages
CSSJSONJavaScriptNginxPythonReact
Technical Skills
API developmentAPI integrationDjangoNginx configurationPostgreSQLPythonReactRedisback end developmentbackend developmentdatabase managementdatabase optimizationfront end developmentfrontend developmentperformance optimization
Repositories Contributed To
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