
ORVO AI
Predict website instability before downtime happens
We launched today on Product Hunt:
https://www.producthunt.com/products/orvo-ai?utm_source=other&utm_medium=social
Would love honest feedback from fellow founders.
Appreciate any thoughts — especially critical ones.
#SaaS #Monitoring #WebDev #Programming #DevOps
Most monitoring tools ask one question: “Is it up?”
I wanted to answer a different one: “Is it about to go down?”
I kept getting “your site is down” emails — from users, not my monitoring tools. By the time I got the alert, users were already frustrated, support tickets piled up, and revenue was leaking.
That’s when I built ORVO AI, a tiny predictive engine that flags instability 60–90 seconds before downtime.
Why This Matters
A small early-warning window makes a huge difference:
Scale servers before a crash
Trigger failover
Alert your team before users even notice
Traditional uptime monitoring only reacts after the fire starts. ORVO AI gives you time to prevent it.
How It Works (Simplified)
Tracks trends + volatility in response times
Generates a risk score (0–100)
No heavy ML, no GPU, no Kubernetes — just fast math
In stress tests, it reliably warns 60–90 seconds before failure while the site is still technically “up.”
Built With
Node.js + TypeScript, SQLite, single VPS (~$6/month)
Sometimes simplicity wins.
I’m sharing this on IndieHackers because feedback from fellow founders and makers is invaluable.
Question: How do you get early warnings for your production systems?
Pricing:
• Free 14‑day trial — $0 (no cc)
• Pro — $19/month
• Business — $49/month
• Enterprise — custom
About
I got tired of learning about downtime from my users instead of my monitoring tools. ORVO AI predicts instability before it happens — so you know before your users do.

Comment