Track MVP metrics with AI that learns
Built for AI Makers who need automated analytics, connected data sources, and compounding intelligence.
Backed by the best
Metrics tracking slows down shipping
You're launching an AI-powered meditation app but spend hours manually pulling DAU from Google Analytics, retention rates from your database, and App Store ratings into separate spreadsheets. By the time you've compiled this week's metrics report, you could have shipped two new features. Your PostgreSQL queries run every Monday morning while you wait, context-switching between Jupyter notebooks, analytics dashboards, and Slack updates to investors.
- Copying metrics from Google Analytics into spreadsheets weekly
- Writing the same database queries every reporting cycle
- Losing context between different analytics tools and dashboards
- Rebuilding metric calculations when switching between MVPs
One AI workspace that tracks, learns, and ships
- Connect Google Analytics, databases, and App Store data in one AI conversation
- Build automated dashboards that update weekly and alert on metric changes
- Reuse successful tracking setups across new MVPs and product iterations
- Generate investor reports with charts, insights, and action items automatically
How it works
- 01
Connect your data
Link Google Analytics, databases, and other sources through guided authentication in conversation.
- 02
Build tracking workflows
AI creates dashboards, scheduled reports, and automated alerts based on your MVP metrics needs.
- 03
Compound knowledge
Successful tracking setups become reusable tools for future products and team members.
What Brainvolt brings to your workflow
Intelligence That Compounds
Every metrics conversation builds your team's knowledge base. Successful tracking setups for user retention become reusable tools for your next MVP. Solutions compound across products and team members.
Contextual Analytics Integration
AI draws from Google Analytics, BigQuery, your database, and real-time web research in one response. Knows your user segments, cohorts, and business context when analyzing metrics.
Automated Execution
Builds scheduled reports, metric dashboards, database queries, and investor updates. Conversation turns into shipped tracking workflows with alerts and automated data pulls.
Code And Query Runner
Run Python scripts, SQL queries, and data analysis directly in conversations. Test metric calculations, validate tracking implementations, and debug analytics code without switching tools.
Frequently asked questions
Connect your world.
Get things done.
Try the AI workspace that keeps context and helps you turn conversation into action.