Now onboarding early design partners.

Stop paying engineers to be alarm clocks.

Automatically resolve incidents before they wake your team.

Early-stage prototype. Partnering with 2–3 SRE teams to co-build v1.

Wake up only when it actually matters.

Leave your email — I'll reach out personally to set up a 20-min chat.

Built by an engineer who's been on-call at 3AM. Targeting PagerDuty, Datadog, Splunk, and Slack for first pilots.

✓  You're on the list. We'll be in touch soon.

Example: how OnCallLess handles an incident

▸ Simulated demo — not a real system interface

queue7 handled40 DEMO
HIGH INC-1001 payment-api 3:02 AM
Payment API timed out while connecting to primary Postgres database
Analyzing incident... searching 847 runbooks
Retrieved Runbook
DOC-001 Payment API Database Timeout 72.6%
Historical Match
HIST-2041 Postgres connection pool saturation 81.3%
Agent Decision
Recommended Action
restart_service
Confidence
85%
Approval
Auto-Executable
kubectl rollout restart deployment/payment-api
Waiting for pods to become ready...
3/3 pods healthy. Error rate: 0.02%
✅ Incident resolved in 14s. No engineer paged.

The Problem

On-call is broken.

Your engineers are waking up at 3AM to fix the same issues repeatedly. The answers are already in your runbooks — no one is executing them fast enough.

30+ minute resolutions for problems you've already solved

Groggy engineers context-switch, dig through dashboards, and re-read runbooks they wrote six months ago. All while the customer is down.

🔁

Most pages are repeats

The fix is often already documented in your postmortems and runbooks. But at 3AM, that knowledge is useless if no one can execute it fast.

😴

On-call burnout drives attrition

Painful on-call rotations are a common reason SREs leave. Every unnecessary 3AM page costs you morale, productivity, and the team you spent years building.

How It Works

Your runbooks, automated.

OnCallLess is designed to plug into what you already have. No rip-and-replace. It learns from your history and acts with your tools.

Ingest your knowledge

Connect your runbooks, postmortems, Confluence pages, and internal docs. OnCallLess builds a semantic index of everything your team knows about your systems.

Hook into your stack

Designed to integrate with your alerting (PagerDuty, Splunk, Datadog), communication (Slack), and the internal tools and scripts your team already uses to resolve issues. Integrations are built per-pilot.

AI triages and resolves

When an incident fires, OnCallLess searches your historical data, matches it to known patterns, and executes the right remediation — or escalates to a human with full context if confidence is low.

Humans stay informed

Every action is logged. Low-confidence issues get escalated with a ticket and all context attached. Your team reviews in the morning — rested, not reactive.

Integrations

Designed to work with your stack

Pilot integrations are built per-customer during onboarding. These are the tools we're targeting first.

📟 PagerDuty
📊 Splunk
🐕 Datadog
💬 Slack
📝 Confluence
🎫 Jira
🔧 Custom Scripts
🔌 REST APIs
☁️ AWS / GCP / Azure

Who's building this

A solo engineer who's tired of 3AM pages.

I'm Eric Nwagwu — a software engineer with 4 years building backend systems. I built OnCallLess after too many prod-support rotations where the same incidents kept pulling me off real work. The fixes were already known — just manual, repetitive, and annoying. I'm looking for 2–3 SRE teams to pilot with so we can shape v1 together. If that's you, let's talk.

Ready to stop getting paged at 3AM?

Limited design-partner slots available. We'll reach out within a few business days.

I'll personally reach out to set up a 20-min chat.

✓  You're on the list. We'll be in touch soon.