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Forkwise

Launching today

Test whether your AI-driven findings are truly robust Copy

2 followers

Test whether your AI-driven findings are truly robust Copy

2 followers

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Forkwise explores how analytical choices affect AI-driven findings. Multiple AI analysts independently choose controls, outlier treatments, and missing-data rules, while Python runs the regressions. A judge compares the results and classifies each finding as robust, fragile, choice-dependent, or showing no effect. See whether your conclusions hold up when reasonable analytical choices change.

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Launch tags:Analytics•Artificial Intelligence•Data Science

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Hey Product Hunt! I built Forkwise around a question I find really interesting: how much do analytical choices affect the conclusions we get from data? Different analysts can make different decisions about control variables, outliers, and missing values — and those decisions can change the results. Forkwise explores these choices using multiple AI analysts, executes the regressions in Python, and compares the findings to assess their robustness. I'm sharing it to get feedback from people working with data, statistics, and AI. I'd love to hear what you'd improve or what you'd want to see next!

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23h ago