Repository-based product discovery for Cursor and Codex, preserving evidence and decisions across hypotheses, prototypes, PRDs, and implementation.
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Updated
Aug 22, 2026 - JavaScript
Repository-based product discovery for Cursor and Codex, preserving evidence and decisions across hypotheses, prototypes, PRDs, and implementation.
Idealvalues is a tool you can use for hypothesis testing. Use Idealvalues to find a sum value within an array of numbers.
In-browser tool for choosing the appropriate statistical test for your hypothesis (SPSS, hypothesis testing, A/B testing, Inferential Statitics) #significance_testing #SPSS #hypothesis_testing
Hypothesis Lab for Claude Code — one command runs the full product validation cycle: hypothesis → research → synthetic filter → deployed landing → outreach. Every step cites a published framework.
Tech Blog
DataVista is a comprehensive, production-grade data analysis and machine learning platform that combines real-time data ingestion from live APIs, interactive visualizations, statistical analysis, hypothesis testing, and machine learning model training — all in a unified, professional-grade interface. Built with React and Recharts.
Modern statistical analysis calculator — descriptive stats, correlation, regression, hypothesis testing, chi-square, ANOVA. Built with vanilla HTML/CSS/JS. No dependencies.
Supplementary slides for DSCI 501 on probability & basic statistics
An interactive storyline generator for two-sample hypothesis tests
Statistical decision-support dashboard for Thai lottery draws — backtests every 'lucky number formula' against 777 real draws with holdout discipline and baseline-adjusted edge. FastAPI + pandas + vanilla-JS SPA.
A/B test significance with confidence intervals, power, and a Bayesian P(B>A). Distribution functions implemented in JS and validated against scipy on 464 cases.
Splitcheck is a lightweight toolkit for planning and analyzing A/B tests. It includes sample-size planning, frequentist and Bayesian analysis, always-valid testing, and sample ratio mismatch checks, built with vanilla JavaScript and Python.
Analyze data with a mobile-friendly statistics calculator built in vanilla HTML, CSS, and JavaScript
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