Kubiks

Kubiks

Observability that tells you what’s wrong

12 followers

Visit website
Kubiks is an AI-native observability platform that finds, explains, and helps fix production issues automatically. Traditional observability gives you charts, logs, and alerts and expects you to figure out the rest. Kubiks does the analysis for you — turning your traces, errors, and telemetry into clear explanations of what went wrong and why. Works out of the box with Vercel and generic OpenTelemetry. Setup takes minutes.
Kubiks gallery image
Kubiks gallery image
Kubiks gallery image
Kubiks gallery image
Kubiks gallery image
Free Options
Launch tags:Productivity•Developer Tools•Artificial Intelligence
Launch Team / Built With
Auth0
Auth0
Start building with Auth0 for AI Agents, now generally available.
Promoted

What do you think? …

Max Yarmakovich
Maker
📌
Hey PH — Max here 👋 Kubiks exists because production issues suck. Most observability tools bury you in dashboards, configs, and guesswork when all you really want is a clear answer to what’s breaking and why. We built Kubiks to do exactly that: AI-native observability that detects issues, analyzes your telemetry, and explains the root cause instantly — no noise, no tuning, no digging. You can use us as a 1-click Vercel integration or connect any OpenTelemetry app in minutes. Excited to hear what you think — happy to answer anything!
Chilarai M
Swytchcode

Amazing. What platforms and languages does this support today?

Max Yarmakovich
Maker
@chilarai we are single click install on vercel as a native integration, and also support standard OTEL (open telemetry) logs and traces ingestion
Max Yarmakovich
Maker
@chilarai with first class support for typescript with a rich set of sdks to instrument common dependencies like upstash, prisma, polar, mongo, etc
Максим Соловйов

I integrated OpenTelemetry with Kubiks into my .NET project and started tracing the application. I discovered that the login process was taking 5 seconds. Thanks to the detailed traces and logs, I found out that my User-Agent parsing library was responsible for about 4 seconds of that time. I replaced it with another library, and now my login completes in 500–600 ms. This is incredible — the best observability experience I’ve ever had.