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Build a self-hosted event analytics prototype using Node.js (Fastify), PostgreSQL, ClickHouse, and React. 1. CLIENT SDK: Write an embedded JavaScript script tag (under 10KB) that auto-attaches event listeners to window for 'click', 'change', and 'submit'. For every interaction, capture event timestamp, current URL, page title, referrer, viewport dimensions, and an optimized DOM selector (combining tag name, ID, aria-label, and fallback structural path). Add client-side PII masking: automatically obscure value fields of input types matching 'password', 'email', or containing data-sensitive attributes. Batch events and send via navigator.sendBeacon or POST to /api/track every 2 seconds. 2. INGESTION SERVICE: Create a Fastify server with an /api/track endpoint. Parse incoming event batches, add server-side headers (IP, User-Agent), and publish to an async ingestion queue (Redis Stream or Kafka). Write a background consumer worker that flushes batches into a ClickHouse table optimized for analytics with columns: timestamp (DateTime), distinct_id (String), session_id (String), event_type (LowCardinality(String)), raw_dom_selector (String), page_url (String), properties (Map(String, String)). 3. RETROACTIVE EVENT LOGIC: Build a PostgreSQL database for defining virtual events. Users can define 'Checkout Clicked' by mapping it to raw_dom_selector LIKE '%btn-checkout%'. 4. DASHBOARD & FUNNELS: Create a React frontend with a query builder. Allow users to define a 3-step funnel (e.g., View Product -> Click Add to Cart -> Click Checkout). Translate this funnel into a ClickHouse windowFunnel() query using the defined virtual event selectors, returning overall conversion rate, step drop-offs, and average time-to-convert. 5. FAILURE HANDLING & PRIVACY: Ensure the JS snippet handles shadow DOM gracefully without throwing uncaught exceptions. If the ingestion API returns 5xx, retry payload delivery with exponential backoff stored in localStorage up to 5MB total capacity.

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