FeatureDrop v3 — Your App Now Decides When and How to Show Features

GitHub | Docs | npm | shadcn Components | Example App Every product adoption tool — Pendo, Appcues, Chameleon — works the same way: collect weeks of server-side analytics, then tell you which users to nudge. They charge $250–$7,000/month for it. We built a 4 kB client-side engine that makes the same decisions from session one. No server. No data collection. MIT licensed. This is FeatureDrop v3 . ( v2 launch post here if you want the backstory — it blew up, so I kept building.) TL;DR: Client-side behavioral engine, 4 kB, zero servers Picks the right format (badge / toast / modal) per user automatically Free, MIT licensed, 479 tests, works with Next.js / Remix / Astro / Nuxt + shadcn The Problem With "Just Show It" Every product adoption tool works the same way: you define a feature, pick a format (badge, modal, toast), set a date, and hope for the best. But your power users don't need a modal. Your new users don't need a tiny badge. Someone who just dismissed three announcements doesn't