Enterprise usability platform
Reconstructing real user workflows from raw behavioral data.
Stack
Built at UXgage (Co-founder)
Problem
Solution
Outcome
₹5L
seed funding
0→1
from idea to product
6 mo
to funded MVP
~3
engineers hired
System design · Pipeline · Decisions
How It Works
Capture
A lightweight JS engine captures clicks, mouse movements, text input, scroll patterns, and URL transitions. Events batch and send asynchronously with minimal performance overhead.
Storage
Cassandra handles the high write throughput of raw event data. Events are partitioned by session for efficient replay and aggregation.
Analysis
Neo4j reconstructs navigation graphs from raw events. Session replay with interaction heatmaps surfaces behavioral patterns across users and sessions.
Key Decisions
User sessions aren't flat event logs — they're graphs of navigation paths with branches and loops. Neo4j made it natural to query patterns like "users who visited A then went back to B" without complex SQL joins.
The JS capture engine runs asynchronously and batches events to avoid impacting the host application's performance. A single script tag integration was the hard constraint — anything heavier kills adoption.
What I'd Change
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