Track MVP metrics with AI that actually learns
Connect your tools, automate dashboard creation, and scale metrics monitoring as you ship.
Backed by the best
MVP metrics slip through engineering priorities
Your engineering team ships features but tracking their impact requires manual dashboard updates, scattered analytics queries, and time your developers don't have. You end up pulling numbers from Google Analytics, cross-referencing GitHub commits, and building BigQuery reports yourself. Critical user behavior patterns get discovered weeks too late because the feedback loop between shipping and measuring is broken.
- Developers ship features but metrics tracking gets deprioritized
- Manual dashboard updates lag behind actual feature releases
- User behavior insights arrive weeks after deployment decisions
- Analytics queries scattered across multiple team members
AI that connects your tools and automates metrics tracking
- Auto-generate dashboards when new features ship by connecting GitHub and analytics
- Set up recurring reports that track MVP performance without manual intervention
- Get real-time insights from connected tools with source citations in one response
- Scale metrics monitoring as your team grows using reusable tracking templates
How it works
- 01
Connect your stack
Authenticate GitHub, Google Analytics, BigQuery, and other tools through guided setup conversations.
- 02
Build tracking workflows
Create dashboards and reports through conversation. AI generates scripts and connects data sources automatically.
- 03
Automate and scale
Schedule recurring metrics updates. Save successful tracking patterns as reusable tools for future MVPs.
What Brainvolt brings to your workflow
Connected Analytics Intelligence
AI pulls data from GitHub commits, Google Analytics events, and BigQuery tables in one response. See feature deployments correlated with user behavior metrics, complete with source citations.
Automated Dashboard Generation
Describe what you want to track and AI builds the dashboard. Connects multiple data sources, generates visualization scripts, and deploys monitoring automatically through conversation.
Compounding Metrics Knowledge
Every successful tracking setup becomes a reusable tool. AI remembers your preferred metrics patterns and applies them to new features automatically as your MVP evolves.
Team Metrics Collaboration
Shared AI channels where engineers, analysts, and product teams can see metrics thinking. Multiple people contribute to same tracking analysis with full conversation history.
Frequently asked questions
Connect your world.
Get things done.
Try the AI workspace that keeps context and helps you turn conversation into action.