Production errors, meet your product loop.
Push stack traces from your services into Damper's ingest API. They arrive fingerprinted, deduped and context-rich — triaged in the same workspace where your customers' requests already live.
One POST. Full context.
From workers, APIs, scripts — anything that can talk HTTP. Send one event or batch a high-volume stream. Attach the metadata that makes an error answerable: service, environment, severity, request path, job name.
- API-key auth — the same scoped dmp_ keys you already manage.
- Single or batch — from one-off failure to 10k/hr storm, without losing structure.
A thousand stack traces. One line to read.
Errors are fingerprinted on arrival, so a retry storm is one row with a growing count — not a thousand alerts. Optional AI-assisted grouping turns raw dumps into reviewable signal, and hints connect failures to the feedback and roadmap items they explain.
- Fingerprint dedupe — occurrences count up; your attention doesn't.
- AI-assisted grouping — raw logs become reviewable clusters, faster triage.
- Triage next to demand — the error explaining a week of angry feedback is finally in the same place as the feedback.
Your observability tab just got smaller.
Point one webhook of failures at Damper and see how fast triage moves when signal sits next to demand.
Where this fits in the loop.
Collect
Catch feedback where it happens — in your app, in Slack, on a call — and land it in one clean inbox.
Prioritize
Rank requests by who is asking. Votes are weighted by plan, so paying customers move the roadmap.
Build
Hand the top task to your AI coding agent with the rules that govern it — and get proof when it is done.
Ship
Shipped work becomes a changelog entry, and everyone who asked for it hears first.
Around the loop
Docs, uptime, errors and team access — the product ops that sit next to the loop.