Side-by-side comparison of AI visibility scores, market position, and capabilities
Interactive notebook platform for making Markdown runbooks executable in VS Code and the terminal for DevOps and developer workflows.
Runme is an open-source platform that transforms standard Markdown README files and runbooks into interactive, executable notebooks that run directly in VS Code or the terminal. Engineers write documentation as usual in Markdown with code blocks, and Runme renders them as interactive notebooks where each code block can be executed in-place with a click, capturing output and preserving execution state. This converts static documentation into living runbooks for deployment procedures, incident response playbooks, and onboarding guides, ensuring documentation stays accurate because it is actively used rather than read-only. Runme integrates with VS Code as an extension that replaces the default Markdown viewer and works with existing git workflows since runbooks remain standard Markdown files. The project was started by the team behind Stateful and has gained adoption among platform engineering and DevOps teams that want to modernize runbooks without moving to a new documentation system. It competes with Jupyter notebooks and Notion for runbook documentation use cases.
a2z Radiology AI raised $20M in 2025 for its whole-body AI that simultaneously screens for 24+ conditions across CT scans — from incidental cancers to cardiovascular risk — in a single automated read.
a2z Radiology AI has developed a whole-body CT analysis platform that simultaneously screens for over 24 medical conditions across a single CT scan, including incidental cancers, coronary artery disease, aortic aneurysm, bone density loss, and organ abnormalities. The AI acts as a second reader that radiologists can use to catch incidental findings that fall outside the primary reason for a scan — a major source of missed diagnoses.
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