Running legacy software isn't just a technical debt problem. It's a security emergency that most teams don't even know they're in. A CVE drops. Someone scrambles to patch it. Then someone quietly mentions the affected version has been end-of-life for eight months. No patches coming. Ever. The fix isn't a hotfix. It's a migration that nobody planned for. That gap — between when software dies and when teams actually find out — felt like a problem worth solving. So I launched endoflife.ai — a free public platform for software end-of-life intelligence. What it does: 455+ products tracked with live EOL dates AI-powered EOL checker — paste a version, get instant risk context Stack scanner — upload your requirements.txt or package.json and scan your entire stack at once Release cycle timelines — visual SVG charts showing exactly where each version sits in its lifecycle 7,500+ individual version pages with structured data All powered by the excellent endoflife.date open dataset, with a layer of tooling and context…