How I Implemented Product Analytics in Bondo Using PostHog and Cursor

How I Implemented Product Analytics in Bondo Using PostHog and Cursor

A practical breakdown of how I integrated PostHog into Bondo using Cursor, why analytics matters for product builders, and what changed after adding real user insights.

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How I Implemented Product Analytics in Bondo Using PostHog and Cursor

When you're building a product alone or in a very small team, it’s extremely easy to rely on intuition.

You think you know:

  • which features people use,
  • where they get stuck,
  • what creates value.

But most of the time, you’re guessing.

That’s why I decided to integrate PostHog into Bondo — to replace assumptions with real product data.
And I implemented everything with the help of Cursor, which made the process faster, cleaner, and far more enjoyable.

This post explains why I did it, how I did it, and what changed afterward.


Why Analytics Was Necessary

Before adding analytics, my understanding of Bondo looked like this:

“Users probably do X, then Y, and sometimes Z.”

That’s not product management — that’s guessing.

What I needed instead:

  • Visibility into real user flows
  • Clear drop-off points
  • Feature usage validation
  • Proof that changes actually improve things

PostHog provides:

  • Event tracking
  • Funnels
  • Retention
  • Cohorts

It’s built for understanding products, not just tracking visits.


Why I Chose PostHog

PostHog stood out because:

  • It’s product-focused, not marketing-focused
  • Event-based by default
  • Funnels and retention are first-class features
  • It’s developer-friendly and transparent
  • It fits modern stacks well

It feels designed for builders, not just analysts.


How Cursor Helped With Implementation

Implementing analytics manually can be repetitive and error-prone:

  • inconsistent event names,
  • forgotten edge cases,
  • messy refactors.

Cursor changed that workflow completely.

It helped me:

  • wire events into the right places,
  • keep naming consistent,
  • refactor cleanly,
  • validate edge cases,
  • and move faster with confidence.

It felt less like writing code and more like collaborating on it.


The Stack

LayerTool
ProductBondo
AnalyticsPostHog
ImplementationCursor

Simple, focused, effective.


What Changed After Adding Analytics

After integrating PostHog, I gained:

  • Clear visibility into user behavior
  • Identification of drop-off points
  • Evidence of underused features
  • Validation of what actually works

This shifted my priorities from:

"What I think users want"
to
"What users actually do."

That’s a powerful change.


Final Thoughts

Analytics isn’t about tracking for the sake of tracking.

It’s about:

  • building less blindly,
  • making fewer assumptions,
  • and focusing your time where it matters.

PostHog gave me insight.
Cursor gave me speed and confidence.

If you're building a product and still flying without instruments — I strongly recommend adding them.

Your future self (and your users) will thank you.