sherlock-project/sherlock
Oct 2025 – Oct 2025
1 Month active
Languages Used
Python
Technical Skills
API IntegrationData AnalysisData ManagementPlatform IntegrationWeb Scraping
rvasikarla
PROFILE
Rvasikarla
Ravi Vasikarla developed Odysee platform support for the sherlock-project/sherlock repository, expanding its platform coverage through database updates and URL normalization. He implemented canonical link detection using Python, leveraging web scraping and redirect-based validation to reliably distinguish between existing and non-existent users. By defining a consistent URL pattern for Odysee profiles, Ravi improved the accuracy of user detection and reduced false positives. His work involved data management and platform integration, focusing on robust feature delivery rather than bug fixes. The depth of his engineering addressed both backend schema changes and the nuances of HTTP redirects, enhancing Sherlock’s detection reliability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
33
Activity Months1
Your Network
140 people
Work History
October 2025
3 Commits • 1 Features
Oct 1, 2025October 2025: Delivered Odysee platform support for Sherlock, including database updates to add the Odysee platform, canonical link detection to identify non-existent users via redirects, and a defined URL pattern https://odysee.com/@{username} for consistent resolution. Implemented robust redirect-based validation to distinguish canonical redirects from missing users, improving platform coverage while avoiding false positives. No major bugs fixed this month; focused on feature delivery and reliability improvements. Demonstrated skills in database schema changes, URL normalization, and platform integration, delivering business value by broadening platform coverage and improving detection accuracy.
3 Commits • 1 Features
Oct 1, 2025October 2025: Delivered Odysee platform support for Sherlock, including database updates to add the Odysee platform, canonical link detection to identify non-existent users via redirects, and a defined URL pattern https://odysee.com/@{username} for consistent resolution. Implemented robust redirect-based validation to distinguish canonical redirects from missing users, improving platform coverage while avoiding false positives. No major bugs fixed this month; focused on feature delivery and reliability improvements. Demonstrated skills in database schema changes, URL normalization, and platform integration, delivering business value by broadening platform coverage and improving detection accuracy.
October 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API IntegrationData AnalysisData ManagementPlatform IntegrationWeb Scraping
Repositories Contributed To
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