Use case
Cursor for Product Management
Notiky gives product teams the context-aware workflow that Cursor gave engineers: every decision, signal, and product constraint is available before work starts.
Product work needs the same context jump that code got
Cursor changed software engineering by making the editor aware of the codebase. Product management still works like the pre-Cursor era: context scattered across Slack, calls, docs, tickets, and the founder's head.
Notiky turns that scattered product context into a living product brain. The workspace captures decisions, hypotheses, insights, and customer signals as structured objects, then makes them available to humans and AI agents when they need to ship.
From prompt memory to product memory
A coding agent can write code quickly, but it cannot guess why the roadmap looks the way it does. Notiky packages the relevant product memory into context packs: decisions, CLAUDE.md, Cursor rules, rejected alternatives, and evidence.
That means every agent run starts with the same product understanding a strong PM would bring into the room. The result is less re-explaining, fewer context resets, and agent output that stays tied to product intent.
The product layer above tickets
Linear and Jira are good at tracking execution. They rarely preserve why a decision exists, what customer signal shaped it, or what changed since the last sprint. Notiky sits above that execution layer.
When a roadmap item changes, the linked decisions and context packs change with it. Product work becomes traceable instead of oral history.