Catch overload before it burns out your engineers.

Open-source tool that monitors on-call engineers for signs of overload and burnout risk using data from incident and work tools.

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oncallhealth.ai
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Quick facts
What is it Open-source tool that monitors on-call engineers for signs of overload and burnout risk using data from incident and work tools.
Pricing Unknown
Platform Web Application
Best for monitoring team workload and burnout risk during on-call rotations, using data from incident reports and tickets to advocate for process changes
Domain registered 2025

Data updated Aug. 1, 2026

What does Catch overload before it burns out your engineers. do?

On-Call Health is an open-source tool designed to help engineering teams spot signs of overload and burnout in their on-call engineers before it becomes a serious problem. It works by pulling data from the tools teams already use, like incident management platforms (Rootly, PagerDuty), ticketing systems (Linear), and code repositories (GitHub). It also sends short, periodic surveys through Slack to collect direct sentiment from engineers. The tool compiles this information to give a clear picture of who is at risk.

What makes On-Call Health stand out is its focus on objective, personalized data. Instead of using one-size-fits-all thresholds, it establishes baselines for each team and individual, tracking changes over time. It calculates a risk score for each engineer and uses AI to analyze what's driving those scores, providing summaries that help managers understand trends quickly. This turns routine post-incident reviews into conversations about team health, not just system reliability.

This tool is most useful for engineering managers, SRE leads, and tech leads who are responsible for team well-being. It helps them make data-backed decisions, such as rebalancing on-call schedules, adding automation, or pausing non-urgent work. By making engineer health measurable, On-Call Health provides the evidence needed to advocate for changes that prevent burnout and keep teams sustainable.

#ai monitoring#burnout prevention#developer-health#incident management#on-call management#open source#team analytics

Key features

What makes it stand out
01
Connects to tools like Rootly, PagerDuty, Linear, and GitHub to collect workload and incident data
02
Sends periodic sentiment surveys in Slack to gather direct feedback from engineers
03
Calculates individual burnout risk scores (0-100) to highlight who needs support
04
AI analyzes trends and summarizes insights to help teams make informed decisions
05
Tracks team and individual baselines over time for fair, personalized monitoring

Who is Catch overload before it burns out your engineers. for?

Who benefits most from this tool
monitoring team workload and burnout risk during on-call rotations
using data from incident reports and tickets to advocate for process changes
creating a measurable baseline for team health to guide support and hiring decisions

Trust & presence

Domain Domain registered 2025

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