Get Slack alerts when your
business metrics change.
Lighthouse connects to your data warehouse — Snowflake, BigQuery, Redshift, or Postgres — and sends a Slack notification the moment a KPI moves past its threshold. Describe metrics in plain English. No SQL. No pipelines.
Works with all major data warehouses
What your team sees in Slack
Full context in every alert — no dashboard required.
Daily active users triggered
Built for data teams that need signal, not noise.
Full context in every alert
Each Slack message includes the metric name, current value, baseline, percentage change, segment, compare period, and severity. Your team knows what happened without opening a dashboard.
Route alerts to the right channel
Send finance metrics to #finance-alerts, product metrics to #product-data, and critical S1 alerts to #incidents. Team-scoped routing keeps channels clean.
Acknowledge and resolve in Slack
Respond directly from the Slack message. Mark as a known issue, acknowledge it, or resolve it — all logged in Lighthouse's audit trail without leaving Slack.
Adaptive thresholds that stop crying wolf
Static percentage alerts fire every weekend and every campaign. Lighthouse learns your day-of-week patterns and only fires when something is genuinely anomalous.
Consecutive-trigger gating
Lighthouse waits for two consecutive anomalies before firing. One bad data point doesn't page your team at 2am.
Severity levels and snooze
Route S1 (critical) alerts to a dedicated channel. Snooze low-priority metrics during planned maintenance or known data delays.
Common questions
Which data warehouses does Lighthouse connect to for Slack alerts?
Snowflake, BigQuery, Amazon Redshift, and Postgres. Connect with read-only credentials — we never write to your warehouse.
How do I connect Lighthouse to Slack?
During onboarding, you authorize the Lighthouse Slack app with a single click. You can then route any metric's alerts to any channel your workspace has access to.
Can different metrics go to different Slack channels?
Yes. Each metric has its own alert destination. You can send finance metrics to #finance-alerts, product metrics to #data-alerts, and critical alerts to #incidents.
What information appears in the Slack alert?
The alert includes the metric name, current value, baseline value, percentage change, threshold condition, segment (if applicable), compare period, and severity level. Action buttons let you acknowledge, resolve, or get more info directly from Slack.
How is this different from writing a Lambda that queries my warehouse and posts to Slack?
The Lambda is the easy part. What you'd also need to build: adaptive baseline learning, false-positive gating, schema change handling, a permissions model, an audit trail, and a UI for non-engineers to add metrics. Lighthouse provides all of that, maintained, from day one.
Your first Slack metric alert in 10 minutes.
Connect your warehouse, describe a metric in plain English, and get pinged in Slack before you finish your coffee.
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