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4 min readVibePing Team

Week 1: From Zero to Live Product in 48 Hours

VibePing's first week recap — we built an SDK, dashboard, 5 API endpoints, AI-powered insights, and shipped it all to production. Here's everything that happened.

We started VibePing with a simple question: why is it so hard to know what's happening in your vibe-coded app?

Lovable, Bolt.new, Cursor — these tools let you build a full app in minutes. But once you deploy, you're staring at a blank screen wondering: Is anyone using this? Is it broken? Where are people dropping off?

So we built VibePing. And we built it fast.

Here's everything we shipped in week 1.

The SDK (3.3KB gzipped)

The whole thing fits in a single script tag:

<script src="https://cdn.jsdelivr.net/npm/@vibeping/sdk@latest/dist/vibeping.umd.js"
  data-id="your-project-id">
</script>

One line. That's it. No npm install, no config files, no build step.

It auto-captures:

  • Page views with route detection (works with React Router, Next.js, plain HTML)
  • JavaScript errors with full stack traces
  • Web Vitals — LCP, CLS, FID (the numbers Google cares about)
  • Session duration so you know if people stick around or bounce

Want to track custom events? Two more lines:

vibeping.track('signup_completed', { plan: 'free' })
vibeping.track('cta_clicked', { button: 'Get Started' })

No cookies. No consent banners. No PII collection. Your privacy policy stays simple.

The Dashboard

We shipped four main views:

Overview — Live visitor count, pageview trends, top pages, referrer sources. The "is my app working?" screen.

Errors — Every JavaScript error, grouped by message, with stack traces. Click one and our AI explains what went wrong in plain English. Not "Uncaught TypeError: Cannot read properties of undefined." Instead: "Your app tried to access user data before the API response came back. Add a loading check before rendering."

Uptime — Regular pings to your URL. Response times, downtime history, uptime percentage. We check every 5 minutes.

Events — Custom events you've tracked. See signup funnels, CTA clicks, feature usage. The data you need to know if your app is actually working for people.

AI Features

Three AI-powered tools, all running on Claude:

Health Score — A 0-100 score for your app based on error rates, web vitals, and uptime. Below 70? We tell you exactly what to fix first.

Error Explainer — Paste-click an error, get a human explanation plus a suggested fix. Designed for people who didn't write the code (because an AI did).

Smart Prompt Generator — This is the one we're most excited about. It analyzes your app's analytics data and generates a prompt you can paste directly into Lovable or Cursor to improve your app. "Your checkout page has a 73% bounce rate. Here's a prompt to add progress indicators and trust signals."

Infrastructure

  • Supabase for auth and data storage (PostgreSQL with row-level security)
  • Vercel for auto-deploy from GitHub
  • Resend for transactional emails
  • Cloudflare for DNS and CDN
  • Five database tables, four API endpoints, auth with magic links and GitHub OAuth

The Blog

Five posts in week 1:

  1. Why Your Vibe-Coded App Is Flying Blind — the case for analytics when you build with AI
  2. 5 Silent Errors Killing Your Lovable App — real bugs we found in vibe-coded apps
  3. How to Add Analytics to a Lovable App in 60 Seconds — step-by-step tutorial
  4. Web Vitals for Vibe Coders — what LCP, CLS, and FID mean and how to fix bad scores
  5. Bolt.new Analytics — specific guide for Bolt.new users

What's Next

Week 2 is about polish and growth:

  • npm publish for the SDK (so npm install @vibeping/sdk works)
  • More test coverage across SDK and dashboard
  • Email drip sequence for waitlist signups
  • Product Hunt prep
  • Dashboard onboarding — guided setup flow for new users

We built VibePing because we think every app deserves to know its own health. Even if it was built in 30 minutes by an AI.

Try it free at vibeping.dev↗. 🏓