growthbook/growthbook
Oct 2024 – Apr 2026
15 Months active
Languages Used
PythonTypeScriptMarkdownSQLJavaScript
Technical Skills
A/B TestingAPI DevelopmentAlgorithm ImplementationBackend DevelopmentData AnalysisData Modeling
Luke Smith
PROFILE
Luke Smith
Luke Brawley-Smith contributed to the growthbook/growthbook repository by building advanced experimentation and analytics features, including CUPED-based uplift estimation, adaptive power analysis, and robust bandit algorithms. He engineered statistical modules in Python and TypeScript, integrating backend logic with frontend components to improve experiment reliability and metric accuracy. His work included modularizing moment computations, refining regression-adjusted statistics, and enhancing documentation for onboarding and reproducibility. Luke addressed edge-case bugs in post-stratification and type validation, expanded unit test coverage, and streamlined API design. His engineering demonstrated depth in statistical modeling, data analysis, and software maintainability, resulting in more reliable, enterprise-ready experimentation workflows.
Overall Statistics
Feature vs Bugs
70%Features
Repository Contributions
35Total
Bugs
7
Commits
35
Features
16
Lines of code
10,870
Activity Months15
Your Network
40 peopleShared Repositories
40
KarimMember
Adriel VieiraMember
kabam-blambertMember
BryceMember
BryceMember
Kevin-ChantMember
Sang-hyun, ChoMember
ClementMember
Danny LinMember
Work History
April 2026
1 Commits • 1 Features
Apr 1, 2026Monthly summary for 2026-04 focused on delivering clear documentation for event-level quantile metrics and beta limitations within growthbook/growthbook, enabling teams to confidently use BigQuery analytics and understand beta constraints. This month\'s work improves data reliability and reduces onboarding risk for analytics stakeholders.
1 Commits • 1 Features
Apr 1, 2026Monthly summary for 2026-04 focused on delivering clear documentation for event-level quantile metrics and beta limitations within growthbook/growthbook, enabling teams to confidently use BigQuery analytics and understand beta constraints. This month\'s work improves data reliability and reduces onboarding risk for analytics stakeholders.
April 2026
January 2026
1 Commits
Jan 1, 2026January 2026 monthly summary focused on reliability improvements and code hygiene around post-stratification uncertainty quantification. Delivered a targeted bug fix that increases the accuracy of statistical estimates, expanded unit tests to improve coverage, updated documentation, and removed unused code paths to simplify maintenance. The work reduces estimation risk, strengthens analytics trust, and sets a cleaner foundation for future enhancements.
January 2026
1 Commits
Jan 1, 2026January 2026 monthly summary focused on reliability improvements and code hygiene around post-stratification uncertainty quantification. Delivered a targeted bug fix that increases the accuracy of statistical estimates, expanded unit tests to improve coverage, updated documentation, and removed unused code paths to simplify maintenance. The work reduces estimation risk, strengthens analytics trust, and sets a cleaner foundation for future enhancements.
December 2025
3 Commits • 1 Features
Dec 1, 20252025-12 Monthly summary for GrowthBook (growthbook/growthbook): Delivered CUPED post-stratification enhancements and critical bug fixes, enabling enterprise-ready improvements in experiment analysis. Implemented post-stratification to reduce variance using user attributes and pre-experiment data; enterprise availability across backend and frontend. Fixed covariate handling in single-cell post-stratification to boost accuracy in edge cases with theta-adjusted statistics. Polished CUPED documentation formatting for clearer mathematical expressions. These efforts span backend services, frontend components, and documentation, driving more reliable insights and stronger business value for customers relying on experiment analytics.
3 Commits • 1 Features
Dec 1, 20252025-12 Monthly summary for GrowthBook (growthbook/growthbook): Delivered CUPED post-stratification enhancements and critical bug fixes, enabling enterprise-ready improvements in experiment analysis. Implemented post-stratification to reduce variance using user attributes and pre-experiment data; enterprise availability across backend and frontend. Fixed covariate handling in single-cell post-stratification to boost accuracy in edge cases with theta-adjusted statistics. Polished CUPED documentation formatting for clearer mathematical expressions. These efforts span backend services, frontend components, and documentation, driving more reliable insights and stronger business value for customers relying on experiment analytics.
December 2025
November 2025
2 Commits • 1 Features
Nov 1, 2025Monthly summary for 2025-11: Key features delivered include Improve metric handling in Experiment tracking with propagation of metric groups through all experiment components and results pipelines, plus refactor of getAllMetricIdsFromExperiment to remove default args and require explicit metric groups for clarity and lint compliance. Commits: 68a505b2292f84a0c53aea75b3bcb26a144be199; 2bf7987cfc95b8219b9179ee9f35c1752eef6231. Major bugs fixed: None reported. Overall impact: Improved metric accuracy and reliability across experiment tracking; clearer API usage; reduced lint debt; strengthened data-driven decision making. Technologies/skills: TypeScript/JavaScript, API design, lint compliance, metric propagation across analytics pipelines, end-to-end impact assessment.
November 2025
2 Commits • 1 Features
Nov 1, 2025Monthly summary for 2025-11: Key features delivered include Improve metric handling in Experiment tracking with propagation of metric groups through all experiment components and results pipelines, plus refactor of getAllMetricIdsFromExperiment to remove default args and require explicit metric groups for clarity and lint compliance. Commits: 68a505b2292f84a0c53aea75b3bcb26a144be199; 2bf7987cfc95b8219b9179ee9f35c1752eef6231. Major bugs fixed: None reported. Overall impact: Improved metric accuracy and reliability across experiment tracking; clearer API usage; reduced lint debt; strengthened data-driven decision making. Technologies/skills: TypeScript/JavaScript, API design, lint compliance, metric propagation across analytics pipelines, end-to-end impact assessment.
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for growthbook/growthbook focused on code quality improvements in the frequentist statistics module.
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for growthbook/growthbook focused on code quality improvements in the frequentist statistics module.
August 2025
July 2025
3 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for growthbook/growthbook focusing on CUPED covariance improvements and type-check reliability. Delivered a unified covariance calculation for proportion and mean metrics (compute_covariance), refactored covariance logic, and updated documentation and tests. Fixed RegressionAdjustedRatioStatistic type-check validation to ensure d_statistic_post and d_statistic_pre have the same type while removing an incorrect check between m_statistic_post and d_statistic_post. These changes improve metric accuracy, reduce blockers, and enhance maintainability.
July 2025
3 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for growthbook/growthbook focusing on CUPED covariance improvements and type-check reliability. Delivered a unified covariance calculation for proportion and mean metrics (compute_covariance), refactored covariance logic, and updated documentation and tests. Fixed RegressionAdjustedRatioStatistic type-check validation to ensure d_statistic_post and d_statistic_pre have the same type while removing an incorrect check between m_statistic_post and d_statistic_post. These changes improve metric accuracy, reduce blockers, and enhance maintainability.
June 2025
1 Commits • 1 Features
Jun 1, 2025Month: 2025-06 — GrowthBook/growthbook: Delivered the Moments Computation Module (feature). Introduced a new Moments class to centralize and modularize moment computations in the science code, enabling consistent statistical calculations, easier maintenance, and improved testability. Refactored test structures to align with the new module, and applied linting and code style improvements to raise overall code quality. This work reduces regression risk in statistical computations, accelerates future feature work, and improves onboarding for data science engineers. Commit 1338ab0d6d07af2b6bff17d1f25f6c2d9f1dcc91: 'Base Moments class for science code (#4185)'.
1 Commits • 1 Features
Jun 1, 2025Month: 2025-06 — GrowthBook/growthbook: Delivered the Moments Computation Module (feature). Introduced a new Moments class to centralize and modularize moment computations in the science code, enabling consistent statistical calculations, easier maintenance, and improved testability. Refactored test structures to align with the new module, and applied linting and code style improvements to raise overall code quality. This work reduces regression risk in statistical computations, accelerates future feature work, and improves onboarding for data science engineers. Commit 1338ab0d6d07af2b6bff17d1f25f6c2d9f1dcc91: 'Base Moments class for science code (#4185)'.
June 2025
May 2025
3 Commits • 1 Features
May 1, 2025May 2025 performance highlights for growthbook/growthbook: Delivered Guardrail Metrics Enhancement enabling Safe status and early stopping; corrected critical statistical docs (FDR and Power); strengthened decision quality and documentation integrity; demonstrated statistical rigor and engineering discipline.
May 2025
3 Commits • 1 Features
May 1, 2025May 2025 performance highlights for growthbook/growthbook: Delivered Guardrail Metrics Enhancement enabling Safe status and early stopping; corrected critical statistical docs (FDR and Power); strengthened decision quality and documentation integrity; demonstrated statistical rigor and engineering discipline.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025: GrowthBook (growthbook/growthbook) delivered a new RegressionAdjustedRatioStatistic type for gbstats devtools, including tests and targeted refinements to existing statistical logic for clarity and robustness. This work enhances analytics accuracy in devtools, enabling more reliable decision making and better product metrics. No major bug fixes were reported in this period based on the available data. Overall impact includes improved measurement capabilities, expanded test coverage, and a more maintainable codebase. Skills demonstrated include statistic type design, test-driven development, and code refactoring for clarity.
1 Commits • 1 Features
Apr 1, 2025April 2025: GrowthBook (growthbook/growthbook) delivered a new RegressionAdjustedRatioStatistic type for gbstats devtools, including tests and targeted refinements to existing statistical logic for clarity and robustness. This work enhances analytics accuracy in devtools, enabling more reliable decision making and better product metrics. No major bug fixes were reported in this period based on the available data. Overall impact includes improved measurement capabilities, expanded test coverage, and a more maintainable codebase. Skills demonstrated include statistic type design, test-driven development, and code refactoring for clarity.
April 2025
March 2025
8 Commits • 4 Features
Mar 1, 2025March 2025 monthly summary for growthbook/growthbook focused on delivering high-value features, stabilizing experiment analytics, and expanding data tooling. Key work spanned CUPED ratio feature development, risk-threshold visibility in experiment results, statistical test enhancements, and expanded statistics generation support.
March 2025
8 Commits • 4 Features
Mar 1, 2025March 2025 monthly summary for growthbook/growthbook focused on delivering high-value features, stabilizing experiment analytics, and expanding data tooling. Key work spanned CUPED ratio feature development, risk-threshold visibility in experiment results, statistical test enhancements, and expanded statistics generation support.
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025 — GrowthBook: Delivered end-to-end CUPED-based uplift estimation for ratio metrics across the core stack (library, backend, and UI). Implemented regression-adjusted statistics, variance/mean calculations, and SQL-level adjustments to enable CUPED for ratio metrics; UI now surfaces CUPED-adjusted metrics for more accurate experimentation results. No major bugs reported this month; primary focus was robust measurement improvements and cross-stack integration across data processing, storage, and presentation layers.
3 Commits • 1 Features
Feb 1, 2025February 2025 — GrowthBook: Delivered end-to-end CUPED-based uplift estimation for ratio metrics across the core stack (library, backend, and UI). Implemented regression-adjusted statistics, variance/mean calculations, and SQL-level adjustments to enable CUPED for ratio metrics; UI now surfaces CUPED-adjusted metrics for more accurate experimentation results. No major bugs reported this month; primary focus was robust measurement improvements and cross-stack integration across data processing, storage, and presentation layers.
February 2025
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for growthbook/growthbook. Focused on improving self-service troubleshooting for experiments. Delivered Experiment Troubleshooting Documentation Enhancement by updating docs to provide direct links to specific troubleshooting sections for experiment-related issues. This reduces time to resolution by guiding users to the exact guidance they need and aligns with our goal of actionable self-service resources. Commit 7f5cd6805b22c8bee0916851e94337250d9cd06f implements the changes (message: 'updating docs so links go to specific troubleshooting sections (#3538)').
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for growthbook/growthbook. Focused on improving self-service troubleshooting for experiments. Delivered Experiment Troubleshooting Documentation Enhancement by updating docs to provide direct links to specific troubleshooting sections for experiment-related issues. This reduces time to resolution by guiding users to the exact guidance they need and aligns with our goal of actionable self-service resources. Commit 7f5cd6805b22c8bee0916851e94337250d9cd06f implements the changes (message: 'updating docs so links go to specific troubleshooting sections (#3538)').
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for growthbook/growthbook: Key feature delivered is Adaptive Power Estimation for Sequential A/B Testing, enabling real-time mid-experiment power calculations and adaptive sample size optimization for sequential analyses. Also refactored statistical tests for sequential analysis and added classes for adaptive power calculations (including handling already-significant results and finding optimal scaling factors for sample size adjustments). Implemented the core science code for mid-experiment power as part of the sequential analysis improvements. Commit reference available: 8f33c01c4d28c4d27f3c8cb81b1a2901300059f8 ("Mid-experiment power core science code (#3414)").
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for growthbook/growthbook: Key feature delivered is Adaptive Power Estimation for Sequential A/B Testing, enabling real-time mid-experiment power calculations and adaptive sample size optimization for sequential analyses. Also refactored statistical tests for sequential analysis and added classes for adaptive power calculations (including handling already-significant results and finding optimal scaling factors for sample size adjustments). Implemented the core science code for mid-experiment power as part of the sequential analysis improvements. Commit reference available: 8f33c01c4d28c4d27f3c8cb81b1a2901300059f8 ("Mid-experiment power core science code (#3414)").
December 2024
November 2024
1 Commits
Nov 1, 2024In 2024-11, delivered a targeted documentation quality improvement for growthbook/growthbook: corrected quote usage in data source configuration and metrics docs to enhance clarity and accuracy. This change was implemented via a documentation fix commit (d25cd7a2318f71f72a74935c4fd17a28b6e5c91d) with the message 'fixing typo around quotes (#3256)'.
November 2024
1 Commits
Nov 1, 2024In 2024-11, delivered a targeted documentation quality improvement for growthbook/growthbook: corrected quote usage in data source configuration and metrics docs to enhance clarity and accuracy. This change was implemented via a documentation fix commit (d25cd7a2318f71f72a74935c4fd17a28b6e5c91d) with the message 'fixing typo around quotes (#3256)'.
October 2024
5 Commits • 1 Features
Oct 1, 2024October 2024 — GrowthBook: Bandit Algorithm robustness and reporting enhancements delivered to improve experiment reliability, reporting accuracy, and decision-making. Implemented small-data safeguards, ensured user counts for small samples, enforced per-variation minimum samples, lowered SRM traffic thresholds for faster iteration, and added a weightsWereUpdated flag across models and schemas to accurately reflect weight updates. These changes reduce noise in experiments, improve visibility into bandit performance, and enable faster, safer deployment decisions.
5 Commits • 1 Features
Oct 1, 2024October 2024 — GrowthBook: Bandit Algorithm robustness and reporting enhancements delivered to improve experiment reliability, reporting accuracy, and decision-making. Implemented small-data safeguards, ensured user counts for small samples, enforced per-variation minimum samples, lowered SRM traffic thresholds for faster iteration, and added a weightsWereUpdated flag across models and schemas to accurately reflect weight updates. These changes reduce noise in experiments, improve visibility into bandit performance, and enable faster, safer deployment decisions.
October 2024
Activity
Loading activity data...
Quality Metrics
Correctness90.0%
Maintainability88.6%
Architecture87.2%
Performance84.8%
AI Usage22.2%
Skills & Technologies
Programming Languages
JavaScriptMarkdownPythonSQLTypeScript
Technical Skills
A/B TestingAPI DevelopmentAPI developmentAlgorithm ImplementationBack End DevelopmentBackend DevelopmentBayesian StatisticsBigQueryData AnalysisData ModelingData ScienceDocumentationExperimentationExperimentation PlatformFrequentist Statistics
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline