By the numbers!
AI for data analysis
Ask a question in plain words. Hyper writes the query, runs it on your data, and explains the answer.
What Hyper does for data analysis
- Queries your databases. Hyper writes and runs SQL in BigQuery, Neon, and Supabase.
- Reads your analytics. Hyper queries PostHog and runs reports in Google Analytics.
- Checks the money. Hyper reads customers, subscriptions, and invoices in Stripe.
- Shares the answer. Hyper writes the result into Google Sheets or Notion, or posts it in Slack.
What to ask Hyper
- “How many people signed up each week this quarter?”
- “Which features do our paying customers use most?”
- “What was our churn last month, from Stripe?”
- “Put this week’s key numbers in a Google Sheet and post it in Slack.”
You stay in control
By default, Hyper asks before it sends, posts, or changes something in your tools. Some actions let you allow future actions of the same kind; others require approval each time. You can also ask for a draft first. Hyper does not use your data to train or improve general-purpose AI models, and does not let its AI providers do so.