Wednesday. 2pm. No new signup since 10am.
Server up. API responding. Stripe dashboard green. Error rate zero.
Found out from a user at 8pm.
That's 10 hours of a broken signup flow I didn't know about. No alert. No red. Nothing.
Started mapping every silent failure we'd hit over 6 months:
None of them threw an error. None triggered an alert. All of them cost us.
The pattern was always the same - not a crash, not a 500, just something that should be happening quietly stopping. And nobody noticing until a user did.
So we built a system around one idea - monitor the silence, not just the noise.
Every event that should happen has an expected frequency. When it stops arriving, that's the alert. Not a threshold breach. Not an error rate. Just - this thing stopped and it shouldn't have.
Detection time matters more than fix time. The fix is always bounded - an engineer picks it up, patches it, deploys. Hours at most.
The detection gap is unbounded. It ends when someone happens to check the right screen, a user complains, or the end of day report looks wrong.
$150 average order. 20 orders per hour. A 6 hour detection gap. That's $18,000 sitting in a window your monitoring tool never knew existed.
Most teams, when they run that number for the first time, stop talking about fix time entirely.
If you've ever found out something broke from a user - you already know why we built this.
This is a sharp category angle.
Most monitoring tools are still built around visible failure: errors, downtime, thresholds, alerts. But the failures you’re describing are more dangerous because they look operationally normal from the outside.
“Monitor the silence, not just the noise” is probably the strongest line here. That feels much bigger than another alerting tool.
One thing I’d be careful with is the name you put around it. If the product is framed like monitoring, teams compare it to uptime/error tools. If it is framed around silent revenue leakage or operational signal loss, it becomes much more urgent.
A name like Exirra.com would fit that direction well because it feels more like a serious detection/signal infrastructure layer than a basic monitoring tool.