CLUSTER TEST-CALCULATES-SAMPLE · 4 ENTRIES · EARLIEST ENTRY 2026-05-17
A/B test statistical calculators
This cluster consists of web tools and SaaS apps that calculate statistical power, sample size, test duration, minimum detectable effect, and significance for A/B tests. The dated history is too thin to read a shape from—only one dated entry exists before the index start, so the cluster predates the index or most members are undated. Traction leaders (by activity signal) are three members all showing 0 stars, with the highest signal being trial-to-paid-conversion-sample-size-calculator, followed by A/B Test Significance Calculator | BrieAnna Patrick and Z-Score Parameters.
Entry timeline
ENTRY TIMELINE
Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.
Members by activity
Activity signals, not revenue.
Build origin · 3 ai-built · 1 hand-coded
Operator · 3 hobby · 1 unlabelled
Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 4 listed below. Unlabelled means nothing has decided yet — not that the answer is small.
- 01trial-to-paid-conversion-sample-size-calculator0★5 molivehand-codedhobbySaaS A/B test sample size calculator that computes required trial counts for detecting conversion rate changes.
- 02A/B Test Significance Calculator | BrieAnna Patrick0★unknownliveai-builthobbyFree web app that calculates statistical significance of A/B test results for experiment analysis.
- 03Z-Score Parameters0★unknownliveai-builthobbyWeb tool that calculates statistical z-score parameters from user-entered data for analysis.
- 04A/B Test Calculator - Statistical Power & Sample Size | ProductDo0★unknownliveai-builtWeb tool that calculates statistical power, sample size, test duration, and minimum detectable effect for A/B tests.
Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.