Answers Gallery
Business Questions to Ask Your Database
Question packs for the problems founders actually face — churn, MRR, signup funnels, inactive customers — answered from your database in plain English. No SQL required.
SaaS Churn
How to Measure SaaS Churn in Postgres — Without Writing SQL
Measure SaaS churn straight from your Postgres database in plain English. Monthly rates, at-risk accounts, and revenue lost — no SQL, no data team.
How to Measure SaaS Churn in Supabase — Without Writing SQL
Measure SaaS churn from your Supabase project in plain English. Combine auth.users with your subscriptions tables — no SQL editor, no data team.
How to Measure SaaS Churn in MySQL — Without Writing SQL
Measure SaaS or membership churn from your MySQL database in plain English. Monthly rates and at-risk customers — no SQL, no DATE_FORMAT headaches.
Stripe MRR
How to Track Stripe MRR in Postgres — Without Writing SQL
Track Stripe MRR from the data synced into your Postgres database — ask in plain English. Growth, expansion, and churn MRR without writing SQL.
How to Track Stripe MRR in Supabase — Without Writing SQL
Track Stripe MRR from your Supabase project in plain English. Turn synced subscription tables into growth, expansion, and churn MRR — no SQL.
How to Track Stripe MRR in MySQL — Without Writing SQL
Track Stripe MRR from billing data in your MySQL database in plain English. Growth, plan mix, and failed payments — no SQL or date-math required.
Signup Funnel
How to Analyze Your Signup Funnel in Postgres — Without Writing SQL
Analyze your signup funnel straight from Postgres in plain English. Find drop-off steps, conversion by source, and activation rates — no SQL.
How to Analyze Your Signup Funnel in Supabase — Without Writing SQL
Analyze your signup funnel in Supabase using plain English. auth.users signups, verification, and activation drop-off — no SQL editor required.
How to Analyze Your Signup Funnel in MySQL — Without Writing SQL
Analyze your signup or registration funnel in MySQL with plain English questions. Drop-off, activation, and weekly trends — no SQL, no date math.
Inactive Customers
How to Find Inactive Customers in Postgres — Without Writing SQL
Find inactive customers in your Postgres database with plain English questions. Win-back lists, at-risk revenue, and dormancy trends — no SQL.
How to Find Inactive Customers in Supabase — Without Writing SQL
Find inactive users in your Supabase project with plain English. Use auth.users last sign-in data to build win-back lists — no SQL editor needed.
How to Find Inactive Customers in MySQL — Without Writing SQL
Find inactive or lapsed customers in your MySQL database using plain English. Win-back lists and revenue at risk — no SQL, no DATEDIFF wrangling.