GitHub, in context.
A CSS change broke mobile checkout. Revenue dropped 23%. Nobody connected the two for three days. askotter ties deployment events to business metrics automatically. When code affects revenue, you find out in minutes. Self-healing agents adapt their monitoring as your codebase and deploy cadence evolve.
GitHub data, in context
A CSS change broke mobile checkout. Revenue dropped 23%. Nobody connected the two for three days. askotter ties deployment events to business metrics automatically. When code affects revenue, you find out in minutes. Self-healing agents adapt their monitoring as your codebase and deploy cadence evolve.
GitHub deployments correlated with Stripe revenue, Shopify conversions, GA4 behavior. Code to cash. Agents self-heal against your workflow, adjusting thresholds and refining models as your GitHub data evolves.
What askotter does with GitHub data
Train the AI like your next best employee. It learns your GitHub patterns and scales that knowledge across your team.
Correlates deployment timing with changes in customer behavior
Connects revenue anomalies to specific deployments
Estimates business impact of planned releases
Traces revenue drops back to specific commits
Prioritizes engineering fixes by how much revenue they recover
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