30 min
less troubleshooting per incident
Correlating the deploy, the error spike, and the matching past incident is finished before anyone opens a dashboard.
What changes
Thirty minutes back on every incident
Time to root cause is a number your incident tool already reports, which makes it the honest place to start. It moves because the slow part of an outage is finding out what changed, and that part is done before the first engineer joins.
3 min
to a first hypothesis, with evidence
Gini names the suspect change and shows the diff and the trace behind it, instead of an engineer paging through graphs for twenty minutes.
100%
of incidents with a written postmortem
Timeline, root cause, and owned action items drafted from the channel the same day, not three weeks later or never.
Check it yourself. Pull time-to-root-cause for your last ten incidents out of the incident tool, then run the same query on the next ten. Gini timestamps every step it took in the channel, so the comparison is yours to audit. These are the targets we hold Gini to, not an average across customers.
The first week
Three jobs to hand over first
Pick the one you repeat every week. Gini does it end to end, shows its work in the channel, then offers to keep running it on a cadence.
01
When an alert fires
First response on every alert
Correlates the alert with what deployed, what spiked, and the last incident that matched, and posts it before anyone joins the channel.
02
After every incident
The postmortem, while it's warm
Turns the incident channel into a timeline, a root cause, and action items with owners, drafted the same day.
03
Daily
Absorb the #eng-help queue
Answers the recurring “is this expected?” questions with the code, the PR that changed it, and the decision thread behind it.
It reaches the tools engineering teams already run on
Scoped per person · revocable in one click
GitHub
Code
Linear
Issues
Sentry
Errors
Datadog
Monitoring
PagerDuty
On-call
CircleCI
CI
Vercel
Deploys
Notion
Runbooks
Plus 200+ more integrations. Gini only reaches what you connect, with the permissions of the person who connected it.
The differenceA chatbot explains the error.
A chatbot explains the error.
Gini finds what changed.
An assistant in the editor makes one engineer faster at writing code. The hours the team actually loses are outside the editor: incidents, handoffs, and the interrupt that pulls someone out of focus.
Incident triage
An assistant
“Here are common causes of a 500 error.” You still open six dashboards.
You still do the work
Gini
Checkout errors start 4 minutes after deploy 8f21c, which dropped the payment retry timeout to 3 seconds. Here's the diff, the trace, and the rollback command.
Root cause in 3 min · rollback waiting for your OK
Autonomous, not unsupervised
How security worksOnly the channels you invite it to
No workspace-wide ingestion. Remove Gini from a channel and its access ends with the membership.
Approval before anything leaves
Money moving, anything client-facing, anything sent on your behalf: it drafts, then waits for a one-tap OK.
Your data never trains a model
Encrypted in transit and at rest, isolated per workspace, and deletable whenever you ask.
Questions
FAQ
Day one
Hire Gini for your engineering team
Two minutes of setup, then one job. Nothing to migrate, nobody to train, and one seat covers the whole workspace.
Invite Gini to #incidents
Install from the Slack app directory. It arrives like a new teammate and sees only the channels you add it to.
Connect GitHub, Linear, and Sentry
Each connection is scoped to the person who made it and revocable in one click.
Hand it “First response on every alert”
Gini runs it, shows its work in the channel, then offers to keep it on a cadence.
On Teams? It's rolling out by invite. Ask for a spot and we'll hold it.
One coworker, every other team too
Same seat, different week