Building Real-Time Analytics for a WhatsApp Native CRM

<h2> 1. Intro — The Problem We Actually Had </h2> <p>Building real-time systems is often presented as a distributed systems problem.</p> <p>Kafka, stream processors, event buses,

<p><strong>TL;DR:</strong> I run WhatsApp automation workflows for 50+ businesses on shared infrastructure using n8n (queue mode), WAHA (unofficial WhatsApp Web API), Supabase,

<ul> <li> <strong>Book:</strong> <a href="https://www.amazon.com/dp/B0GX2SQ594" rel="noopener noreferrer">System Design Pocket Guide: Interviews</a> </li> <li> <strong>Also by

<blockquote> <p><em>Originally published at <a href="https://parvejshah.com/blog/conversational-commerce-webhook-architecture" rel="noopener

<p>Modern applications thrive on instant updates — from live chats and notifications to collaborative tools and trading dashboards. Traditional HTTP requests can only go so far

<p><em>Interview prep series: real problems, real trade-offs, no hand-waving.</em></p> <h2> The Problem Worth Solving </h2> <p>Here's a scenario straight from a fintech startup I

<h1> I Let OpenClaw Build a Web App From Scratch - It Even Created the PayPal Plan </h1> <p><strong>TL;DR</strong>: I gave OpenClaw an idea. It built the entire product, deployed

<p>"We need real-time analytics" is one of the most common requests in data engineering. It's also one of the most misunderstood. When the VP of Sales says "real-time," they