Why We Built YaliTrack

Every startup we have worked at had the same analytics stack: Google Analytics for traffic, Hotjar for heatmaps, Mixpanel for events, and some Slack bot cobbled together for alerts. Four tools, four dashboards, four bills totaling $400+/month.

And somehow, with all that tooling, nobody could answer the question: why did signups drop 30% last Tuesday?

The Problem Was Not Data. It Was Fragmentation.

Each tool saw a slice of the picture. Google Analytics knew the traffic numbers. Hotjar had the heatmaps. Mixpanel tracked the funnel. But none of them talked to each other. Correlating a traffic drop with a rage-click spike on the pricing page meant manually cross-referencing three dashboards.

We spent more time stitching data together than actually acting on it.

What We Wanted

How We Built It

We chose ClickHouse for the analytics backend because it handles billions of events without breaking a sweat. The SDK is 3KB gzipped and auto-captures everything without manual event tagging. Frustration detection runs client-side in real-time. The AI analyst uses your actual data, not generic advice.

The result: install one script, and within 5 minutes you have heatmaps, frustration detection, funnels, AI insights, and anomaly alerts. No configuration required.

The Result

YaliTrack replaces four tools with one. The Pro plan at $39/month includes everything that would cost you $400+ from separate vendors. And the free tier includes features that competitors charge $300/month for (frustration detection).

We built the tool we wished existed. We hope it is useful to you too.