Orbit - The Full Stack AI on-call engineer just one message away

The AI that watches your production logs, fixes bugs, and merges PRs — all from a WhatsApp message.

The Problem

Production breaks at 2am. You're asleep. Or travelling. Or in a meeting.

Your monitoring tool fires an alert. You get a PagerDuty ping. You open your laptop, context-switch into the codebase, find the file, read the stack trace, write a fix, test it, open a PR, get it reviewed, and merge it.

That process takes 2–4 hours on average. At \$14,056 per minute of downtime.

Over 90% of mid-size enterprises report a single hour of downtime costs more than \$300,000. — ITIC 2024 Hourly Cost of Downtime Survey, 1,000+ firms worldwide

The bottleneck isn't the fix. The fix is usually 3 lines of code.
The bottleneck is the friction to get there — and the assumption that a developer must be at a laptop to do it.

The Solution

Orbit is a cloud-native AI agent that lives inside your production log stream.

It detects real errors the moment they happen, reads the broken code from GitHub, generates a fix using Claude AI, and sends it to you on WhatsApp — the app already on your phone, working anywhere in the world, even on airplane WiFi.

You reply. It ships. Agent: 🚨 TypeError in server/routes/payment.js line 47 user object is null when session expires Do you want me to fix it now? You: yes Agent: Here's the fix:

const id = user.id
const id = user?.id ?? redirect('/login') Create a PR? You: looks good Agent: ✅ Branch created: fix/payment-null-user ✅ Tests passing ✅ PR opened — approve to merge? You: yes Agent: 🚀 Merged. Go enjoy your trip.

From error to merged fix in under 60 seconds. From your phone.

How It Works

1. Log drain ingestion

We attach a Heroku log drain to your production app with one command:

heroku drains:add https://your-agent.railway.app/logs --app your-app

Every log line streams to our FastAPI endpoint in real time. Our noise filter catches only critical signals — UnhandledPromiseRejection, Traceback, 500 Internal Server Error — and ignores the rest.

2. Error parsing + code fetch

When a critical error is detected, we extract the file name and line number from the stack trace using regex, then pull the exact file from GitHub via the REST API. We know precisely what broke and exactly where.

3. Claude AI fix engine

We send the broken code and the error to claude-sonnet-4-6. Claude reads the context, identifies the root cause, writes a minimal safe fix, and explains it in plain English. The diff is kept to 10 lines max — surgical, not sweeping.

4. WhatsApp conversation loop

The developer receives a WhatsApp message via Twilio. A 5-state machine (DETECTED → ANALYZING → PROPOSED → PR_OPEN → DONE) tracks exactly where in the approval flow each conversation is. Freeform replies like "also check guest checkout" are handled — Claude revises the fix on the fly.

5. GitHub PR + auto-merge

On approval, we create a branch (fix/slug-timestamp), commit the fix with full error context in the description, open a PR, and merge it on the developer's final "yes". The whole audit trail lives in GitHub.

Why This Wins

	Monitoring tools	AI coding assistants	Autonomous agents	Orbit
Detects production errors	✅	❌	❌	✅
Writes the fix	❌	✅	✅	✅
Ships the fix	❌	❌	✅	✅
Human approval gate	—	—	❌	✅
Works from your phone	❌	❌	❌	✅
No new app to install	—	—	—	✅

We sit in the gap nobody owns. Every competitor either stops at alerting, requires a laptop, or removes the human entirely. Orbit is the only tool that detects, fixes, and ships — with a human-gated mobile-native approval loop baked into the core.

The Math

$$ \text{Downtime cost} = \$14{,}056 \times \text{minutes until fix} $$

Average time-to-merge for a production hotfix today: ~150 minutes

$$ \text{Cost per incident (today)} = \$14{,}056 \times 150 = \$2{,}108{,}400 $$

With Orbit, time-to-merge drops to under 2 minutes:

$$ \text{Cost per incident (Orbit)} = \$14{,}056 \times 2 = \$28{,}112 $$

$$ \boxed{\text{Saving per incident} \approx \$2{,}080{,}288} $$

One fix pays for a year of the product. That's instant ROI.

The Business Case

\$400B lost annually by Global 2000 companies to unplanned downtime
75% of developer time spent on debugging, not building
\$113B spent annually in the US alone identifying and fixing defects
0 existing tools let you fix and ship production code from a mobile device

Target customers

Series A–C engineering teams (5–50 devs) who can't afford downtime but also can't chain devs to laptops
Dev agencies managing multiple client repos — one agent per repo, running 24/7
Enterprises with on-call rotations — replace the 3am laptop scramble with a WhatsApp approval

Pricing

Tier	Price
Startup	\$49/dev/month
Agency	\$299/repo/month
Enterprise	Custom + SLA

Tech Stack

Layer	Technology
Language	Python, JavaScript
API server	FastAPI
AI engine	Claude API (`claude-sonnet-4-6`)
Messaging	Twilio WhatsApp Business API
Source control	GitHub REST API + PyGithub
Cloud hosting	Railway
Log ingestion	Heroku Log Drains
State management	Redis
Containerisation	Docker

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The Team

We built this at the hackathon because we've felt this pain ourselves — watching a production error burn money while scrambling to find a laptop at midnight. Orbit is the tool we wished existed.

The vision is simple: