✓ Free · Updated February 2026 · No signup required
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Your Software Apocalypse Timeline Calculator

When will the code you depend on spontaneously combust? Find out.

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YOUR EXPIRATION DATE
Adjust inputs above and hit calculate
VOLATILITY INDEX
TECH DEBT SCORE
DAYS UNTIL CRISIS
WHEN IT BREAKS
The Hard Truth

Software isn't like bridges. Bridges get built once and stand for decades. Code is alive, and everything it depends on is mutating. Citi's research confirms what developers already know: volatility isn't a phase. It's the permanent condition. Your dependencies are being forked, deprecated, and exploited as we speak. The only question is when your specific house of cards catches fire.

Why Volatility Won't Stop

Every JavaScript package is maintained by someone's side project. Every framework you trust will eventually have a new major version. Security vulnerabilities are discovered constantly. Your stack isn't stable—it's just not broken yet.

The Math Is Brutal

With 50+ dependencies, you're absorbing breaking changes from 50 independent teams on their own schedules. The probability that something breaks grows exponentially. Not linearly. Exponentially.

Frequently Asked Questions

Quick answers to common questions

Is this actually based on real data?
Yes. The npm ecosystem alone sees 10,000+ new packages daily. 60% of JavaScript vulnerabilities are found in transitive dependencies. Citi's research on software volatility confirms these patterns across financial systems.
What does 'days until crisis' mean?
Statistically, based on your inputs. A project matching your profile experiences a breaking change, security issue, or maintenance crisis in that window. Not a guarantee. A probability that's uncomfortably high.
Can this be fixed?
Partially. Aggressive monitoring, dependency updates, and team investment help. But the underlying volatility is structural. You're not solving it—you're just treading water more efficiently.
Why does team size matter?
One person can't monitor 500 dependencies while shipping features. Attention scales linearly. Risk scales exponentially. The math doesn't work.
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