Overcast
Stop Hunting Logs to solve Issues in Production
Overcast launched on October 13, 2025 with 6 votes. The site was still online in September 2026, 1 year on.
What it does
AI-powered incident response platform that contextually correlates logs, metrics, and deployments to provide root cause analysis and reduce MTTR for SRE teams and startup teams alike. Focus more on building your dream application than fighting fires!
Raincurve provides cross-layer reliability intelligence across networks, cloud, compute, and AI inference infrastructure to identify failures, determine root causes, understand impact, and coordinate remediation.
Networks, cloud, compute, AI inference — Raincurve traces telemetry and dependencies to find failures, pinpoint root causes, and generate the audit trail regulated environments require. Raincurve connects signals across infrastructure domains that traditionally operate in isolation, creating a unified intelligence layer for understanding and resolving complex failures. Raincurve combines compressed system context with infrastructure knowledge and verification to analyze failures, surface likely causes, evaluate remediation paths, and validate decisions. Connects telemetry across network, compute, cloud, application, and inference layers. Detect anomalies, trace cascading failures, and…from raincurve.com
Does a similar job
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God mode in production code – a new way to debug in Scala2013 · takipi.com · ▲146Resolve incidents faster with AI-driven triage, contextual insights, and streamlined collaboration for improved reliability and reduced downtime.


Human BehaviorAug 2026 · humanbehavior.co · ▲273Product analytics told you what happened. We handle it.
Incident/OpsJan 2026 · incidentops.io · ▲59I've been an on-call engineer at startups where "incident management" meant someone panic-creating a Slack channel called #fire-fire-fire, or all incidents handled in the #incidents channel at the same time... and the postmortem was whatever someone remembered to write in Notion three days later. So I built a Slack bot to fix my own workflow. Figured I'd share it. What it does: "/incident start sev2 API latency spike" creates a dedicated channel, invites whoever's on-call, pins the details, and starts recording a timeline. When you run "/incident resolve", it uses GPT-4 to analyze…
- UMUsing machine learning to recommend dashboards during incidents2017 · beta.overseerlabs.io · ▲52
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