Pricing strategy, A/B testing, and growth playbooks for solo founders.
Most Notion template sellers set one launch price and never revisit it — leaving 20–40% revenue on the table. This guide shows you exactly how to find your optimal price using transaction data.
A data-driven guide to raising your Gumroad prices safely — using transaction history, elasticity analysis, and A/B experiments to prove lift before you commit.
A deep dive into the Normal-InvGamma conjugate model, spike detection, and conservative revenue optimization that powers PricingSim — all in TypeScript, no Python required.
PricingSim uses Bayesian inference to help indie creators safely test higher prices. The why, what, and how — plus three hard-won lessons from building it.
A practical guide to Bayesian A/B pricing experiments for solo founders — safe, statistical, and reversible.
Traditional A/B testing is broken for small-scale sellers. Here's why Bayesian inference works better when you have less data.
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