Pulse — your AI product manager

Pulse runs deterministic detectors over your project's session and event data — rage-click spikes, funnel regressions, error surges, dead-end pages — and only then hands those pre-computed findings to an LLM to narrate into a readable daily brief. The numbers come from code, not from the model, which is the main safeguard against a plausible-sounding but wrong insight.

Findings and PRDs

Each finding links to the evidence behind it — the sessions or events that triggered the detector — and can be marked reviewed, dismissed, or promoted. For findings worth fixing, Pulse drafts a short PRD summarizing the problem and a suggested fix, as a starting point for your team.

Fix verification

Once you mark a finding as fixed, Pulse keeps watching the metric that triggered it and tells you whether the fix actually moved it — which is the part most analytics workflows quietly skip.