Kubit

Optimize Agent Actions with User Behavior

124 followers

Optimize Agent Actions with User Behavior

124 followers

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Business intelligence software

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Observability tools

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AI Data Scientist

Kubit helps product engineers optimize AI agents based on real user behavior. Connect agent traces directly to user activities to see exactly why users re-prompt, drop off, or convert. Then, feed those insights straight into your coding agent to build AI products that actually stick. Start instantly with seamless integrations via OTel, your CDP, or Bring Your Own Warehouse (BYOW).

Kubit Launches

Product Analytics by KubitOptimize Agent Actions with User Behavior.

Launched on August 11th, 2026

KubitTurn Your Data Warehouse into an Analytics Powerhouse

Launched on April 14th, 2020

Forum Threads

p/kubit

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1mo ago

Product and Data folks: What stresses you out the most in product analytics?

Product analytics is supposed to give us answers, but half the time it just gives us more questions.

What is the biggest hurdle for your team?

Untangling instrumentation (when does this event actually fire?)
Decoding data (what does this property mean?)
Translating business needs into events (building a registration funnel from scratch)

p/kubit

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1mo ago

The Origin Story (The "Why")

Hey Product Hunt! Alex here.

A few months ago, while building our own AI features, we kept hitting a wall.

p/kubit

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1mo ago

The Vision: Analytics for the Agentic Era

We're moving fast from simple RAG chat interfaces to autonomous, multi-turn AI agents.

Traditional analytics were built for static page views and button clicks. But when an agent can take 10 different paths to solve a single user intent, traditional funnels break down. You need to analyze:

Looping behavior: Where do users get stuck re-prompting?
Cost-per-conversion: Is a high-token agentic chain actually driving higher retention?
Agent friction: Did a hallucination cause a rage click, or did latency cause the drop-off?

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