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
Aryan Flory expanded Sherlock’s platform coverage by developing TikTok and Pinterest site detection and data extraction within the sherlock-project/sherlock repository. Using Python and leveraging skills in API integration, regular expressions, and web scraping, Aryan implemented new configurations to support these high-value social platforms, enabling broader and more reliable data collection. He also addressed a bug in LessWrong site detection by refining the URL regex, which improved detection accuracy and reduced false positives. This work enhanced Sherlock’s data engineering capabilities, increased platform reach, and contributed to more robust analytics by ensuring higher data quality and coverage for downstream business applications.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
1
Lines of code
26
Activity Months1
Your Network
41 people
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
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