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Show HN: FeatureDrop – Open-source client-side product adoption engine (3 kB)
- thegdsks 7mo agoHey HN, I built FeatureDrop — an open-source alternative to Pendo/Appcues/Beamer for product adoption. The core idea: instead of server-side analytics pipelines that need weeks of data, FeatureDrop runs a behavioral engine entirely in the browser (localStorage). It tracks session patterns, detects notification fatigue, and picks the right format (badge, toast, modal) per user — from the first session. v3 just shipped with: - AdoptionEngine (4 kB) — BehaviorTracker, TimingOptimizer, FormatSelector, AdoptionScorer - 11 framework integrations (React, Vue, Svelte, Solid, Preact, Angular, Web Components + SSR for Next.js, Remix, Astro, Nuxt) - shadcn/ui registry — 5 components installable via `npx shadcn add` - MCP server so AI editors (Claude Code, Cursor, VS Code) understand the library Core is 3 kB gzip, engine is 4 kB gzip, zero runtime dependencies. 479 tests. MIT licensed. The tradeoff vs server-side tools: you get instant decisions with no data collection, but you lose cross-device persistence and team-wide analytics. For most indie/small SaaS apps, that's a good tradeoff. Docs: https://featuredrop.dev https://featuredrop.dev GitHub - https://github.com/GLINCKER/featuredrop https://github.com/GLINCKER/featuredrop Happy to answer questions about the architecture or the behavioral heuristics.