Connect your warehouse. Describe a metric in plain English.
Get pinged in Slack the moment something moves.
Trigger:volume drops > 30% vs same day last 4 weeks
Segment: US · New Users
Next run: 11:10 UTC
Monitoring… alert pending
Works with your stack
Read-only. Set up in under 10 minutes. More integrations coming — tell us what you need.
Try it now
Plain English in. SQL, thresholds, and Slack alerts out.
Enter a metric above and click Generate
How it works
Read-only. We pull schema, not your data.
Point Lighthouse at Snowflake, BigQuery, Redshift, or Postgres. Read-only credentials — we never touch your raw data, only the structure we need to build metrics.
Select your warehouse
Lighthouse scans your columns and proposes what to monitor.
Point at a table or view. Lighthouse reads the schema and proposes the metrics teams like yours actually watch — based on column types, cardinality, and patterns across thousands of datasets.
AI suggestions · transactions table
Transactions volume, last 3 hrs
App errors, last 10 min
Active users, last 10 min
Signups per hour
Checkout conversion rate
API request volume spike
Revenue per session, daily
Customer churn rate, monthly
Adaptive thresholds. Zero noise. Real signals only.
Lighthouse watches every metric continuously, learns seasonal patterns and normal ranges, and alerts in Slack only when something genuinely moved. Fewer alerts than you have today — and every one will mean something.
Recent alerts · #data-alerts
Transactions volume, last 3 hrs triggered
2 min agoActive users, last 10 min
31 min agoBuilt for high-velocity teams
Wherever users interact with your product — transactions, sessions, events, clicks — Lighthouse monitors the KPIs that matter and pings you the moment something moves.
Gaming
Live revenue, player health, tournament integrity
Cash tournament RTP, last 60 min
S1FinanceActive players, last 10 min
S2UsersIn-app purchase volume, hourly
S1RevenueMatch-making wait time, 5 min
S2UXPush notification delivery rate
S2ProductCash withdrawal rate, last 3 hrs
S1FinanceLighthouse auto-suggests these based on your schema. You pick what to monitor.
Connect your data →Metric Audits
Lighthouse continuously analyzes your trigger history and surfaces data-backed optimizations to cut false positives. Hard constraint built in: no suggestion is ever emitted if it would have missed a real issue.
95%
noise reduction, one metric
0
true positives missed
30d
of history analyzed
What the AI examines
Checkout Revenue Rate · Last 60 min
Finance · S1 · Every 1 hr at HH:10
AI Audit Complete
Add minimum value condition (> 0.3)
↓ 95%Metric fires on micro-fluctuations near zero. Adding AND value > 0.3 eliminates statistical noise below meaningful levels.
Enable trigger after 2 consecutive matches
↓ 56%14 of 25 triggers were 1-run spikes that self-resolved within the next window. No confirmed true positive had episode length < 2.
Enable trigger after 3 consecutive matches
↓ 72%18 of 25 historical triggers recovered within 2 runs. All 7 confirmed true positives stayed matched for 3+ consecutive runs.
Applying suggestion #1 alone would reduce triggers from 157 to 8 — a 95% drop with no confirmed true positives at risk.
16 of our analysts use Lighthouse daily to monitor the metrics that drive our products. It's become the layer that sits between our warehouse and our stand-ups.
Analytics Lead
A leading gaming company · 50M+ users
10x
fewer alerts than before
10 min
avg. setup time
0
engineering tickets to add a metric
Datadog watches your servers. Lighthouse watches your business. Different data, different audience, different kind of alert.
Monte Carlo scans your tables for nulls, schema drift, and freshness issues. Lighthouse monitors your KPIs and business metrics — the signals your stakeholders actually care about. You can also use Lighthouse for technical metrics. But that's your choice, not its default.
Dashboards wait for you to come to them. Lighthouse comes to you — in Slack, at the moment something actually moved.
We don't replace your analysts. We remove the parts of their day spent babysitting dashboards and chasing false alarms.
Security
We connect with read-only credentials and only pull schema for dataset definitions. Your data stays in your warehouse.
We process only the metrics you define. We don't explore your warehouse, mine your data, or store query results.
Trust center, security policies, and PwC auditor engaged. Built for teams where compliance is non-negotiable.
View trust center →
Free forever for small teams. Connect your warehouse in under 10 minutes.
Upgrade if and when you outgrow it.
No credit card required · Read-only access · Cancel anytime