Pulse
The daily read
Yesterday against the same weekday for eight weeks, seasonally adjusted, with the three biggest movers named.
- Daily digest
- Anomaly flags
- Slack and email delivery
Platform
Three modules, one set of definitions.
They share the same semantic layer, so a metric means the same thing in a Monday digest, a retention curve and an audit export. That is the entire product, said in one sentence.
Cohorts
Who stays and why
Retention curves by acquisition week, plan and channel, with the confidence interval drawn rather than implied.
- Cohort explorer
- Survival curves
- Segment comparison
Ledger
The audit trail
Every figure links back to the query, the run time and the warehouse snapshot it came from. Numbers can be re-derived months later.
- Query lineage
- Point-in-time replay
- Definition history
Pulse, close up
The chart is not a picture of a chart.
Hover it. The crosshair, the readout and the re-sampling are all real — this is the component the product ships, drawn as SVG with no charting library behind it.
It re-samples every few seconds so there is something to look at, which is the one thing on this page that a real deployment would not do.
Questions we get in every call.
Where does the data live?
In your warehouse. Axiom holds query definitions, dashboards and a results cache you can purge at any time — never a copy of the underlying rows.
Which warehouses are supported?
Postgres, BigQuery, Snowflake, Redshift, ClickHouse, Databricks, DuckDB, MotherDuck and Athena.
How long does setup take?
A read-only role and a connection string. Most teams have their first dashboard the same afternoon; the interesting work is agreeing definitions, not plumbing.