Product - DevRel Intelligence Platform

🔗 Multi-Source Data Integration

Automatically connect and sync data from all your developer touchpoints. No more manual data collection or missed insights.

Supported Sources:

GitHub: Issues, PRs, discussions, stars, forks
Slack: Messages, threads, reactions, help requests
Surveys: Google Forms, Typeform, custom CSVs
Support: Zendesk, Intercom, Freshdesk
Interviews: Zoom, Google Meet transcripts
Forums: Discourse, Stack Overflow Teams

Coming Soon:

Discord communities
Reddit discussions
Twitter/X mentions
Linear/Jira tickets

📊 Developer Journey Mapping

Visualize the complete developer experience from first touch to advocacy. Identify exactly where developers succeed or drop off.

Features:

Track developers from discovery to advocacy
Identify drop-off points with precision
Correlate journey stage with feedback sentiment
Predict churn risk by behavior patterns
Segment by technology stack, company size, use case

🧠 AI-Powered Pattern Discovery

Go beyond basic analytics. Our AI finds correlations and patterns that human analysis misses, giving you insights you never knew existed.

Capabilities:

Statistical correlation analysis (not just summaries)
Cross-source pattern matching
Anomaly detection in developer behavior
Trend prediction based on historical data
Natural language insights with confidence scores

Example Patterns Found:

"Developers using Python SDK + Windows have 73% higher churn"

"Teams that attend workshops bring 2.3x more colleagues"

"Enterprise devs need SSO by day 15 or leave"

📈 DevRel-Specific Analytics

Track the metrics that actually matter for developer relations. Move beyond vanity metrics to actionable insights.

Metrics That Matter:

Time to First Hello World
Documentation Effectiveness Score
API Adoption Funnel
Developer Satisfaction (beyond NPS)
Community Health Score
Developer Lifetime Value
Feature Request Correlation
Support Ticket Patterns

🔗 Identity Resolution Engine

Connect the dots between developer identities across platforms. See the complete picture of each developer's journey.

How It Works:

Automatically match GitHub user to Slack member
Connect survey responses to support tickets
Build unified developer profiles across platforms
Privacy-first approach with consent management
Fuzzy matching with manual override options

💡 Actionable Recommendations

Don't just get insights—get specific actions ranked by impact. Know exactly what to fix first and why.

Output Types:

Priority fixes with impact estimates
Content gaps in documentation
Feature requests correlated with churn
Community engagement opportunities
Developer segment strategies

The Intelligence Platform Built Specifically for Developer Relations

Core Features