sherlock-project/sherlock
Oct 2025 – Oct 2025
1 Month active
Languages Used
Python
Technical Skills
API IntegrationBug FixingData EngineeringRegular ExpressionsSite DetectionWeb Scraping
Aryan Jain
PROFILE
Aryan Jain
Worked on expanding Sherlock’s platform coverage by implementing TikTok and Pinterest site detection and data extraction within the sherlock-project/sherlock repository. Leveraged Python and regular expressions to build robust site detection logic, enabling broader and more reliable data collection from high-value social platforms. Addressed a bug in LessWrong detection by refining the URL regex, which improved parsing accuracy and reduced false positives. The work demonstrated strengths in API integration, web scraping, and data engineering, resulting in enhanced platform reach and data quality. These contributions supported more comprehensive analytics and decision-making by increasing both the breadth and reliability of collected data.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
1
Lines of code
26
Activity Months1
Your Network
43 peopleShared Repositories
43
Work History
October 2025
3 Commits • 1 Features
Oct 1, 2025Summary for 2025-10: Expanded Sherlock’s platform coverage by adding TikTok and Pinterest site detection and data extraction capabilities, enabling broader data collection across high-value social platforms. Fixed a LessWrong detection regex issue to handle variations, improving data quality and reducing false positives. These changes extend platform reach, strengthen detection accuracy, and demonstrate solid capabilities in feature development, configuration, and regex-based parsing. Business impact includes higher data coverage and reliability for analytics and decision-making.
3 Commits • 1 Features
Oct 1, 2025Summary for 2025-10: Expanded Sherlock’s platform coverage by adding TikTok and Pinterest site detection and data extraction capabilities, enabling broader data collection across high-value social platforms. Fixed a LessWrong detection regex issue to handle variations, improving data quality and reducing false positives. These changes extend platform reach, strengthen detection accuracy, and demonstrate solid capabilities in feature development, configuration, and regex-based parsing. Business impact includes higher data coverage and reliability for analytics and decision-making.
October 2025
Activity
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Quality Metrics
Correctness86.6%
Maintainability86.6%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API IntegrationBug FixingData EngineeringRegular ExpressionsSite DetectionWeb Scraping
Repositories Contributed To
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