// incident context, pre-assembled

What changed, the moment you're paged.

It's 3am. The page fires. Then the scramble — grep the logs, flip to Grafana, jump to GitHub, check the flag dashboard, back to the terminal. The investigation isn't the hard part. Gathering the context is. Pagescout has it waiting before you've opened the first tab.

LIVE pagescout :: auth-service PAGED 02:14:07
// the page just fired — six tabs deep and counting
Grafana · auth p99
p99 ▲ 1.8s · breaching
prod-01 — ssh
$ grep ERROR app.log 14:02 warn auth retry 14:02 ERROR 5xx spike
GitHub · deploys
a3f9c1 refactor token val… 7be20d bump auth deps v2.31.0 · 4m ago
LaunchDarkly
new_auth_path 100% rollout · 0 guards flipped 01:46
kubectl · auth
auth-7b9 Running auth-4f2 Restart×3 auth-c1a Running
#incidents
@oncall anyone seeing 5xx? 2 replies · just now
↓   pagescout collapses all of it into one timeline   ↓
auth-service · 22 min before the page AI GATHERED · NO AI CONCLUSIONS
01:31 PR#441 merged — refactor token validation ↗ a3f9c1
01:34 DEPLOYauth-service v2.31.0 shipped to prod ↗ run #4471
01:46 FLAGnew_auth_path flipped → 100% ↗ flag log
01:52 CONFIGtoken_ttl 3600s → 900s in prod-configmap.yaml ↗ diff
02:05 METRICauth p99 latency ▲ 1.8s · breaching ↗ panel
02:14 PAGEauth 5xx rate > 5% — you are here ↗ alert
↑ hover any node to preview the linked source — without leaving this card
commit a3f9c1open ↗
How it works

Three moving parts. Zero new habits.

Connect once. Pagescout watches quietly in the background and only speaks up when your pager does.

01

It watches the change feed

Deploys, merged PRs, config edits and flag flips stream in from the tools you already use. Nothing to instrument, nothing new to learn.

02

The page triggers assembly

The instant an alert fires, AI scopes to the affected service and pulls every change in the window before it — ordered, deduped, relevant.

03

You read one timeline

It lands in Slack and the dashboard before you've found your laptop. Every line deep-links to source. You make the call.

This is not another AI SRE. AI does the legwork it's actually good at — sifting changes and surfacing what's relevant. Then it stops. No root cause, no "likely culprit," no confident summary you'll learn to distrust. Just the verifiable facts before the alert, gathered fast. The call stays yours.

Integrations

Plugs into the tabs you already had open.

Read-only, OAuth where it counts, set up in minutes. Pagescout pulls the change feed — it never writes to your systems.

GitHubGitHub
deploys · PRs · commits
GrafanaGrafana
metrics · alert windows
LaunchDarklyLaunchDarkly
flag flips · rollouts
PagerDutyPagerDuty
the trigger
SlackSlack
where the card lands
KubernetesKubernetes
rollouts · restarts
AWSAWS
CloudWatch · metrics
WebhooksWebhooks
anything else

Missing one you need? Tell me in the waitlist form — I'm prioritizing by what real teams ask for.

Why we're building this

We got tired of being the human aggregator.

Every incident we've ever run started the same way: ten minutes of frantic tab-hopping just to reconstruct what had changed. By the time we had the picture, half the stress was self-inflicted — not by the bug, but by the gathering.

On small teams it's worse. The person on-call is usually the person who shipped the thing. There's no SRE to hand it to, no runbook for the change that broke it. You are the runbook.

So we're building the tool we kept wishing existed at 3am — one that does the boring gathering instantly, then gets out of the way. It won't tell you what's wrong. It'll just make sure you're never staring at six tabs to find out.

— Building Pagescout in the open. Reply to any waitlist email; it comes straight to us.
FAQ

The questions on-call engineers actually ask.

Does it diagnose the incident for me?+
No — deliberately. Pagescout gathers and orders the changes that touched the affected service before the alert. It never tells you which one is the cause. The judgment is the part you're good at; the gathering is the part it's good at.
How is this different from an AI SRE or a "root cause" bot?+
Those tools produce conclusions you then have to verify — which, during an incident, is just more work you don't trust. Pagescout produces evidence, not opinions. Every line links to the raw commit, run, diff or flag log so you confirm in one click.
What does it actually connect to?+
GitHub, Grafana, AWS, LaunchDarkly, PagerDuty, Slack and Kubernetes today, with webhooks for anything custom. All read-only — Pagescout pulls your change feed and never writes back to your systems.
How fast is "the moment you're paged"?+
The timeline is assembled and posted to Slack within seconds of the alert firing — typically before you've unlocked your laptop. It works because the change feed is already indexed; the page just scopes and orders it.
Is my source code or data leaving my environment?+
Pagescout reads change metadata and diffs, not your full codebase, and the AI step runs on that scoped context only. Self-hosted and private-deployment options are on the roadmap for teams who need them — flag it in the waitlist form.
We're a small team without a dedicated SRE. Is this for us?+
Especially you. Pagescout is built for the team where on-call rotates through whoever shipped last. It's the institutional memory you don't have the headcount for.
Early access

Get this for your next 3am page.

It's early, and I'm onboarding small teams first. Two quick questions — your stack and your biggest on-call pain — help me build the right thing for you.

No spam. No drip campaign. You'll hear from me when there's something real to try.