Service

Stop guessing where you’re <accent>losing people.</accent>

Decisions from real numbers — what’s working, what it costs

You can’t fix what you can’t see: where users drop off, why the product feels slow, what your AI is quietly costing. We wire up the tracking, funnels and LLM observability so your team watches all of it in dashboards they can act on — and decides from real numbers instead of hunches.

Let’s manage Open Kanban

01 / What changes

What you finally see.

See exactly where users drop off — funnels, cohorts and retention

Know what your AI costs and how it behaves — LLM traces, evals and token tracking

The metrics that matter, live — with alerts before something breaks

Your data stays yours — self-hosted or cloud, privacy-first by design

02 / Stack

Tools we reach for.

The languages, frameworks and models we use to ship analytics & observability — model-agnostic by design, each workload routed to the right model for quality, latency and cost.

Tech stack

PostHogOpenTelemetryGrafanaClickHouseMetabaseTypeScriptPython

Models we use

LLM observability — traces, evals & token/cost tracking
Embedding-based anomaly & drift detection where useful

03 / Infrastructure

Where it runs, and how it stays up.

Event pipelines & warehouses (ClickHouse, BigQuery)
Real-time dashboards & alerting
Self-hosted or cloud, privacy-first by design
SLOs & cost guardrails

Start

Measure what matters.

Tell us what you need to see — we’ll wire up the analytics to show it. A senior engineer writes back.

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