Graph anomaly detection
Detect star spikes, coordinated bursts, and follow-star motifs using temporal and bipartite network intelligence.

StartBae analyzes GH Archive activity and GitHub API signals with graph anomaly detection, cohort forensics, and transparent scoring. Move from vanity growth to investment-grade confidence.
StartBae combines network science, velocity analytics, and human-readable evidence so your team can act quickly and defend every decision.
Detect star spikes, coordinated bursts, and follow-star motifs using temporal and bipartite network intelligence.
Composite score blends entropy, Gini, account age, repo similarity, and velocity for a transparent trust score.
Ingest GH Archive events and enrich with GitHub metadata to isolate inorganic growth in near real-time.
Pivot by repo, star-event cohort, or actor graph. Export evidence and share a reproducible investigation trail.
A clear path from raw activity to a score your team can explain in seconds.
Stream GH Archive star events and enrich with GitHub API data including account age, follower graph, and repository metadata.
Compute burstiness, cohort overlap, graph motifs, and velocity deviations to assign per-event and cohort-level risk.
Review actor clusters, timeline anomalies, and evidence exports to share a defensible repository trust score.
Early adopters rely on StartBae to distinguish authentic traction from engineered visibility.
"StartBae flagged a coordinated star-campaign within hours. The trust score helped us brief stakeholders with confidence."
"The anomaly graph is the first thing I check during due diligence. It saves days of manual digging."
"Finally a tool that quantifies repo reputation beyond vanity metrics. Our maintainers love the transparency."
Request an invite to evaluate repositories with premium trust intelligence and faster risk narratives.
