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 built on top.
Why free?
Because the teams that get burned by EOL software the hardest are usually the ones without enterprise budgets. A solo dev maintaining an internal tool. A small IT team at a 50-person company. They deserve the same visibility that big security teams have.
What's next:
A risk scoring system for version pages, a proper API (waitlist open now), and more integrations. Still early days.
If you work in devops, security, or just maintain anything that has dependencies — I'd genuinely love your feedback. What's missing? What would actually be useful to you?
👉 endoflife.ai
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