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Use Case

AI for Database for Founders

Your startup's data, answered instantly

Startup founders, CEOs, and solo operators who wear multiple hats and need fast answers from their business data without hiring a data team or learning SQL.

The problem

What founders teams deal with every day.

No data team, no data insights

You are a team of 5 to 50. You don't have a data analyst, and you can't justify hiring one yet. But you still need to make data-driven decisions every day.

Board and investor reporting is painful

Every month you spend a full day pulling numbers from different tools, pasting them into slides, and hoping the formulas in your spreadsheet are still correct.

You can't see the full picture

Revenue is in Stripe, users are in your database, support is in Intercom. Getting a unified view of business health means manual effort across 5+ tools.

Speed matters and data is slow

You need to know if that pricing change worked, if the new channel is converting, or if burn rate is on track. But getting the answer takes hours you don't have.

How AI for Database helps

Ask questions, get answers, automate everything.

Instant answers to business questions

Ask your database anything in plain English. No SQL, no spreadsheets, no waiting.

> What is our MRR right now, and how does it compare to the same point last month?

Investor-ready metrics dashboards

Build a live dashboard with the metrics investors care about: MRR, burn rate, CAC, LTV, and runway. Share it with your board.

> Create a board metrics dashboard showing MRR growth, net burn, runway in months, and customer count trend

Cross-tool business intelligence

Connect your production database and get answers that span revenue, users, and engagement in a single query.

> Show me revenue by acquisition channel for the last 3 months, with the number of customers and average deal size for each

Automated weekly snapshots

Set up a recurring report that lands in your inbox every Monday with the numbers that matter most.

> Send me a weekly email every Monday at 8am with new signups, revenue, churn, and active users for the previous week

Experiment measurement

Quickly measure the impact of pricing changes, feature launches, or marketing campaigns without setting up analytics.

> Compare our conversion rate and average revenue per user for the 30 days before and after the pricing change on March 1st

Dashboard templates

Founder's daily dashboard with MRR, signups, and active users
Board reporting dashboard with growth metrics and runway
Unit economics tracker with CAC, LTV, and payback period
Cohort revenue analysis by signup month

Automated workflows

Monday morning Slack message with key business metrics
Alert when daily revenue drops below the 30-day average
Monthly investor update data auto-generated and emailed
Notification when a new customer signs up for the enterprise plan

Key metrics you can track

Monthly recurring revenue (MRR)Burn rate and runwayCustomer acquisition cost (CAC)Lifetime value (LTV)Churn rateActive users
As a solo founder, I don't have time to write SQL or build dashboards. AI for Database gives me the same data visibility that funded startups get with a 3-person analytics team.

Alex J.

Founder & CEO, Seed-Stage Startup

Ready to try AI for Database?

Query your database in plain English. No SQL required. Start free today.