Analytics that don't suck

Stop fucking around
with analytics.

Just fucking use Databuddy.

You are shipping features blind.

You are guessing why users churn.

You have no idea what's actually happening.

That ends today.

Ever feel like your analytics stack is a mess?

Maybe you've ended up with

too many dashboards

too many SDKs

zero confidence in your numbers

You add tracking and hope it works.

You forget to update it when features change.

Your data lies to you and you know it.

your-analytics.ts
// This is what you're doing right now
track("button_click", {
  page: window.location .pathname,
  timestamp: Date.now(),
  userId: user?.id ?? null,
  // was this required?
  // did we change this last week?
  // who knows lmao
})

Then six weeks later someone asks
“how many users actually used this feature?”

And the answer is
“uh… kind of?”

This is the hell you chose.

Just fucking use Databuddy.

Databuddy is a privacy-first analytics platform that actually works.

~3KB script. No bloat. Actually improves your Core Web Vitals.

Zero cookies. No fingerprinting. GDPR compliant by default.

Real-time live dashboards with accurate, unsampled data.

TypeScript SDK. Simple API. No configuration hell.

Tracking that doesn't suck.

Here's what actually changes.

analytics.ts
import { track } from "@databuddy/sdk"

// SDK handles batching, retries, and delivery
await track("button_click", {
  page: window.location.pathname,
  userId: user?.id,
  // No manual timestamp needed
})
✓

Automatic batching & retries. Events actually arrive. No manual timestamp juggling.

✓

Real-time dashboard. See events as they happen. No “data may take 24-48 hours”.

✓

Simple API. One function call. No configuration hell. Just works.

Same tracking call. Actually works.

Why Databuddy hits different.

Privacy that actually means something

No cookies. No fingerprinting. Immediate IP anonymization. Anonymous session tracking that's GDPR compliant by default. No consent banners needed.

Real-time, unsampled data

Live dashboards with accurate numbers. No 'data may take 24-48 hours' bullshit. What happens now shows up now. Full counts, not statistical estimates.

Feature flags built-in

Real-time updates. Client-side caching. User targeting. Roll out features to a percentage of users, A/B test, and control who sees what — without another vendor.

Works everywhere

React. Next.js. WordPress. Shopify. Any JavaScript environment. Install in minutes with a script tag or npm package. Automatic SPA route tracking.

Core Web Vitals included

LCP, FID, CLS. Page load times. JavaScript errors. Performance monitoring without another vendor. The ~3KB script actually improves your scores.

Developer-first

TypeScript SDK. React hooks and components. API playground for experimentation. Documentation that doesn't insult your intelligence.

Reliable delivery

Events are batched and retried by default. Manual flush() when you need it. No more 'hope it works' — Databuddy guarantees delivery or tells you what went wrong.

Feature flags without the bullshit.

Most teams bolt on a separate feature flag service. Another SDK. Another dashboard. Another vendor to manage.

Databuddy includes feature flags because analytics and experimentation belong together.

feature-flags.tsx
import { useFlags } from "@databuddy/sdk/react"

function MyComponent() {
  const { isEnabled } = useFlags()
  const newDashboard = isEnabled("new-dashboard")

  return (
    <div>
      {newDashboard.isReady && newDashboard.enabled && (
        <NewDashboard />
      )}
    </div>
  )
}
Real-time UpdatesClient-side CachingUser Targeting

→ Boolean flags or percentage rollouts

→ Target by user ID, email, plan, role, or custom properties

→ Loading states built-in (isReady, isLoading)

→ Wrap your app in FlagsProvider, use the hook, done

“But wait…”

“I can just roll my own analytics”

Sure. And you'll spend months building, then years maintaining it. Most teams who try this regret it fast. The maintenance cost eats feature velocity alive.

“Another dependency?”

One ~3KB script that replaces your analytics SDK, your feature flag service, and your performance monitoring. This isn't adding bloat. This is consolidation.

“What about privacy?”

Built for privacy from day one. No cookies, no fingerprinting, immediate IP anonymization. Only anonymous, aggregated data. GDPR/CCPA compliant without the consent banner dance.

“Is it actually fast?”

~3KB gzipped. Async loading. The docs literally say it improves Core Web Vitals scores. Removing your current bloated analytics will make your site faster.

“Will my events actually arrive?”

The SDK batches events and retries failed sends by default. You can manually flush() when needed. No more fire-and-forget prayers.

When should you use Databuddy?

  • →Shipping a SaaS product
  • →Tracking feature adoption
  • →Running A/B tests and rollouts
  • →Debugging churn
  • →Measuring funnels
  • →Understanding real usage
  • →Wanting analytics you actually trust
  • →Wanting to stop fucking around

Stop guessing.
Start knowing.

Databuddy is not magic. It just does analytics right, respects privacy, and doesn't lie to you.

Get Started FreeRead the Docs

Free tier includes 10,000 events/month