One Script Tag. Everything You Need.

You just shipped a SaaS app with Lovable. Maybe it's a habit tracker. Maybe it's a client portal. Doesn't matter. It's live. Real URL. Real users hitting it.

And now you're staring at your screen thinking: is this thing actually working?

The monitoring tax

Here's what "the right way" looks like, according to every dev blog on the internet:

Step 1: Set up Google Analytics. Create a Google account (or find the one you already have). Navigate the GA4 interface, which has been redesigned approximately 47 times. Figure out what a "data stream" is. Paste in a script tag. Realize you're tracking pageviews but have no idea what they mean because the GA4 dashboard was designed by committee.

Step 2: Add Sentry for error tracking. npm install @sentry/react. Initialize it with a DSN. Configure source maps so your stack traces aren't gibberish. Set up alert rules. Wonder why you're getting 200 emails about a ResizeObserver error that doesn't actually affect anything.

Step 3: Set up UptimeRobot for uptime monitoring. Another account. Another dashboard. Configure check intervals. Set up notification channels.

Step 4: Try to make sense of data spread across three different tools with three different interfaces and three different billing cycles.

That's four steps too many.

One line instead

Here's VibePing:

<script defer src="https://cdn.vibeping.dev/v.js" data-site="YOUR_SITE_ID"></script>

Drop that into the <head> of your app. Done.

If you prefer npm:

npm install @vibeping/sdk

import { vibeping } from '@vibeping/sdk';
vibeping.init({ siteId: 'YOUR_SITE_ID' });

Same result either way. One dependency. One account. One dashboard.

What happens next

You add the script tag. You deploy. Then this:

Within 10 seconds, pageviews start appearing in your VibePing dashboard. Not "up to 24 hours" like GA4 sometimes warns you. Seconds. You can open your app in another tab, refresh, and watch the number tick up in real time.

Errors get caught automatically. Unhandled exceptions, promise rejections, network failures — VibePing picks them all up without you writing a single try/catch. You see the error message, the stack trace, the browser, the page it happened on. No configuration. No source map uploading.

Web vitals are tracked from the first visit. Largest Contentful Paint. Cumulative Layout Shift. First Input Delay. The stuff Google actually uses to rank your site. You'll know if your app feels slow before your users complain about it.

Uptime monitoring kicks in too. VibePing pings your app every 5 minutes. If it goes down, you know. Not 20 minutes later when someone DMs you on Twitter. Fast.

All of this from one script tag.

Your dashboard

Open VibePing and here's what you see:

The overview page gives you a single screen with everything that matters. Top left: a visitor graph showing the last 7 days. Below that: your top pages ranked by views. Right side: a live error feed with timestamps and frequency counts. Bottom: web vitals scores with green/yellow/red indicators. And a status badge — your site is either up or it isn't.

No twelve-tab setup wizard. No "customize your dashboard" flow that takes an hour. The defaults are the right defaults because we built this for apps like yours.

Smart Prompts are the real trick

This is the part I get most excited about.

Say your Largest Contentful Paint score is bad. 4.2 seconds. Red. Your users are bouncing because the page takes forever to load.

Most monitoring tools would show you a number and a chart. Cool. Now what? You're a vibe coder — you built this app by prompting, not by hand-tuning webpack configs.

VibePing gives you a Smart Prompt. A copy-pasteable prompt you can drop right into Lovable (or Cursor, or Bolt, or whatever you build with). Something like:

"My landing page has a Largest Contentful Paint of 4.2s. The main culprit is a 2.4MB hero image that isn't optimized. Convert it to WebP, add width/height attributes to prevent layout shift, and lazy-load images below the fold."

That's not a generic suggestion. It's built from your actual data. Your actual error. Your actual page.

Paste it into Lovable. Get a fix. Deploy. Watch the number drop.

This is what monitoring should be for people who build with AI. The feedback loop should go: detect problem → understand problem → fix problem. Not: detect problem → spend three hours learning performance optimization → maybe fix it.

Custom events when you need them

The automatic tracking handles 90% of what you need. But sometimes you want to track something specific. A signup. A purchase. A button click that matters.

vibeping.track('signup_completed', {
  plan: 'pro',
  source: 'landing_page'
});

That's it. The event shows up in your dashboard. You can filter by it, see trends, spot drop-offs.

What it costs

Free tier: 1 site, 1,000 events/month, 1 uptime monitor. Enough to get started and see if VibePing clicks for you.

Pro at $9/month: 10 sites, 100K events/month, 10 uptime monitors, Smart Prompts, and 90-day data retention. This is the plan for people who are actually shipping things.

No enterprise sales calls. No "contact us for pricing." You pick a plan and you're in.

We could charge more. Some error tracking tools start at $26/month and only do one thing. We do three things for nine bucks.

Go add it

You can set up VibePing in literally less time than it took to read this post.

Sign up at vibeping.dev↗
Grab your site ID
Paste the script tag
Deploy

Your app stops being a black box. You see who's visiting, what's breaking, whether it's fast, whether it's up. All in one place.

Stop flying blind. Your users already know when something's wrong. Now you will too.