AnchorMark
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Cut triage overhead in half.

Captured context plus AI clustering means your team spends time fixing, not reading.

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Goals

  • Predictable cycle time
  • Fewer interrupts
  • Cleaner backlog
  • Auditable release readiness

Metrics that move

  • Median time-to-triage
  • Cannot-reproduce rate
  • Cycle time on incoming bugs
  • Duplicate-cluster rate

Common objections, honest answers

“Yet another tool to integrate”

AnchorMark sits next to your tracker, not on top of it. Two-way sync keeps your tracker the source of truth.

“We already have a tracker”

AnchorMark is the capture layer. The tracker stays where it is.

“We don't have time to roll out a new tool”

Most teams ship the SDK and connect a tracker in an afternoon. Reviewers learn pin-and-comment in minutes.

Frequently asked questions

How quickly can my team adopt this?
Most teams are productive within an afternoon — install the SDK, connect Linear or Jira, and start capturing. Reviewers learn pin-and-comment in minutes, no training session required.
Can I see triage metrics?
Yes — the workspace dashboard surfaces median triage time and duplicate-cluster rate. Export to BI tools via the webhooks API.
How does AnchorMark reduce cannot-reproduce tickets?
Every report carries the screenshot, console errors, recent failed network requests, and environment fingerprint. Engineers open a ticket already loaded with the repro context — see automatic context capture.
What if a vendor admin tool throws errors my team needs to capture?
Use the browser extension to pin and capture context on any URL — vendor portals, staging, or partner tools. Reports route into the same triage queue as SDK reports.
How do I make sure paying-customer issues surface first?
Pass plan tier or account ID via the SDK. AI triage can surface high-tier reports at the top of the queue automatically, and labels make it easy to filter.
Will this impact production performance?
No measurable impact. The SDK is under 30 KB gzipped, lazy-loaded, and idle until a reviewer opens the widget. The console buffer is fixed-size so memory stays flat.

Keep exploring

AI triage

Claude clusters duplicates, drafts severity, and writes the first summary so triage takes minutes, not hours.

Integrations

Two-way sync with Linear, Jira, GitHub Issues, and Slack. Mentions, status, and resolution stay in lockstep.

Automatic context capture

Every report ships with the screenshot, console errors, network failures, browser, OS, and viewport — captured automatically.

API & webhooks

A documented OpenAPI surface and webhook events for comments, mentions, status changes, and project events.

Bug reporting

Turn vague reports into reproducible tickets with screenshots, console, and network captured automatically.

QA review cycles

Run release-readiness review cycles with a shared queue, severity gates, and historical pass/fail by build.

AnchorMark for engineering managers.

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