Voker
The Agent Analytics Platform for AI Product Teams
Voker launched on May 19, 2026 with 160 votes, #166 of 20,538 launches that month and more than 99% of that year's launches.
What it does
Voker is the Agent Analytics Platform for AI product teams. It gives you the usage behavior and agent performance insights you need to monitor and optimize your production agents at scale. Install the lightweight, provider agnostic SDK and Voker handles the rest: automatic intent, correction and resolution detection on your user to agent interactions, conversation reconstructions, queryable timelines, agent performance tracking so you can build the best agents possible.
The Agent Analytics Platform for monitoring and improving your AI agents in the wild. No more digging through logs, fix agents before users complain.
Voker is analytics for the agentic era, so you can build the best agents possible. Scanning traces doesn't tell you if agents are helpful, accurate, or hitting walls. You only find out when customers complain or attrition skyrockets. Every stakeholder needs data. Every request pulls engineers away from building. Nobody can self-serve insights. Product and business teams need to quantify AI investments. You have usage stats, but struggling to connect agent performance to conversion, retention, or revenue. Voker transforms AI agent interactions into structured analytics that anyone on your team can use. PMs, analysts, and business teams get digestible insights they need without tickets,…from voker.ai
Does a similar job
all alternatives →More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art

PixVerse R2▲381A real-time world model you can explore and change
AI · 28d ago · world.pixverse.video
Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai



Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com

🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com