Traction score
How CodeQuity traction scores are born
Follow the scoring pipeline from raw telemetry to a certified startup profile investors can compare, audit, and monitor.
Scoring pipeline timelineTimeline of 6 stages in the CodeQuity scoring workflow.
Pipeline stages
Collect90ms
Normalize140ms
Extract180ms
Analyze260ms
Score120ms
Certify80ms
Pipeline stages
6
Feature groups
78
Score output
0-100
Relationship layer
One graph explains why a startup signal matters.
CodeQuity links source data to explainable score movement so investors can compare quality, not just activity volume.
Signal network graphNetwork graph with 6 nodes and 7 weighted relationships.
Network relationships
GitHubdeveloper
On-chainprotocol
Marketsmarket
Fundingcapital
Socialsentiment
Traction Scoreoutput
Metric orbsFloating metric orbs showing 4 weighted traction indicators.
Metric summary
Signal Confidence91%
Coverage Depth84%
Noise Rejection73%
Review Latency6m
Signal Confidence91%
Metric confidence
Every metric keeps its context.
Internal trends, confidence, and latency are shown beside the score so the public page remains inspectable instead of decorative.