Voker turns production agent behavior into an analytics and evaluation category

TL;DR

Voker ranked #10 on Product Hunt for May 19. It positions itself as an Agent Analytics Platform for AI product teams, with a provider-agnostic SDK, automatic intent, correction and resolution detection, conversation reconstructions, queryable timelines, and agent performance tracking.

Primary keyword

Voker

Category

Agent Analytics

Audience

AI product teams, agent platform builders, customer support AI teams, eval engineers, and product analytics teams

Window

24-72h sprint

Execution

Research first

Score

8 / Priority

Source date

May 19, 2026

Source

Open original

Why now

Companies are moving agents into production and need more than logs or generic product analytics. New searches can form around agent analytics, Voker, AI agent metrics, intent detection for agents, conversation timeline analytics, tool-call analytics, and production agent evaluation.

Angles: Voker explained: analytics for production AI agents, Agent analytics metrics every AI product team should track, How to detect corrections, resolutions, and tool-use failures in agent conversations, Voker vs LangSmith vs Helicone vs custom observability

72-hour action plan

1. 1Validate the source and update timing around "Voker".
2. 2Publish one focused page that answers the first implementation or buying question.
3. 3Add a lead magnet, checklist, or template that turns intent into an email capture.