How to Track Daily Active Users in Postgres — Without Writing SQL
Tracking Daily Active Users is difficult for founders without a data team. You have to wrestle with timestamptz conversions and date_trunc to get accurate daily buckets. Complex CTEs and window functions are often required to handle user retention and activity streaks.
“How to calculate Daily Active Users in Postgres?”
This provides the core health metric for your product. It replaces the need to manually write complex date_trunc queries and handle timezone offsets.
You get: A time-series list of dates and the corresponding unique user count.
“What is my 30-day rolling average of DAU?”
This smooths out weekend dips to show true growth trends. It replaces complex window functions and frame clauses.
You get: A daily trend line showing the 30-day moving average.
“Which users have been active every day for the last 7 days?”
Identifying power users helps with retention strategies. It replaces recursive CTEs or complex self-joins.
You get: A list of user IDs and their last activity timestamp.
“What is the DAU to MAU ratio for my app?”
This measures stickiness and how often users return. It replaces the need to join two different aggregated subqueries.
You get: A percentage value representing user stickiness.
“How many new users became active on their first day?”
This validates your onboarding flow effectiveness. It replaces complex joins between user creation and activity logs.
You get: A daily count of first-day active users.
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Frequently asked questions
Do I need to know SQL to get these answers?
No. You type the question in plain English exactly as written above, and the AI writes and runs the PostgreSQL query against your database for you. You can inspect the generated query if you want to, but you never have to write it.
Is it safe to connect my production Postgres database?
Yes — connections are read-only by default, so nothing can be modified or deleted. For extra safety, create a dedicated role with SELECT-only grants or connect a read replica.
How do you handle timestamptz when users are in different timezones?
The AI automatically applies the correct AT TIME ZONE conversions based on your preference.
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