Product intelligence for AI-native teams

What should we
build next?

The evidence layer between customer feedback and what engineering builds.

Yorn turns customer calls, support tickets, Slack threads, and usage data into evidence-backed PRDs, priorities, and tickets — with every decision traced to the source.

Built for PMs, engineers, and the AI agents working alongside them.

Private beta for AI-native product teams.

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↑ Top Priority 01 / 14
Reduce workspace setup friction
Support tickets 23
Sales calls 9
Churn-risk accounts 4
ARR affected $182K
PRD ready 12 Linear tickets generated
See Yorn in action
01 — Ask
"What should we build next for onboarding?"
You ask in plain language. Yorn searches across every connected source — calls, tickets, threads, product events — and returns a ranked answer in seconds.
Natural language query All sources searched
02 — Ranked Answer
Reduce workspace setup friction.
#1 of 14 issues ranked.

23 support tickets, 9 sales calls, 4 churn-risk accounts. Estimated affected ARR: $182K. Frequency score: 94th percentile.
Revenue impact scored Ranked by signal weight
03 — Evidence Chain
Every claim linked to its source.
Yorn preserves the full chain. Your spec cites the signal. Your engineer sees not just what to build — but exactly which customer asked for it and why it matters.
47 source quotes attached Gong · Zendesk · Slack
04 — Ship-Ready Output
PRD + tickets. Agent-ready.
Full PRD generated with context, constraints, and acceptance criteria. 12 Linear tickets ready. Your coding agent builds what Yorn defines. No translation layer.
PRD Draft ready 12 tickets generated

Signal in.
Decisions out.

01
⟢
Connect your stack
Plug in Gong, Zendesk, Slack, Intercom, Amplitude. Yorn ingests everything continuously, no manual tagging.
02
◈
Find repeated pain
Yorn ranks customer problems by frequency, revenue impact, and recency — with exact quotes attached.
03
⬡
Ask what to build
Get a prioritized answer with evidence, PRD, and tickets in seconds. Every decision traced back to the customer.
04
↗
Push to Linear / Jira
Turn approved specs into agent-ready tickets with full context attached. Cursor, Codex, and Claude Code consume Yorn specs directly — no translation layer between customer reality and what gets built.
Connects with your existing stack
Customer Signal
Gong Chorus Zendesk Intercom
Team Context
Slack Notion Confluence
Execution
Linear Jira GitHub
Product Data
Amplitude Mixpanel

Stop
guessing.
Start knowing.

Yorn is in private beta with a small group of product teams. If your roadmap is still shaped by scattered calls, tickets, Slack threads, and opinion — we want to work with you.

Limited spots. No spam.