Automation you can actually own
Most no code automation ends in vendor lock and per task pricing that punishes you for growing. I build systems on self hosted n8n, deployed with Docker Compose on DigitalOcean, backed by Supabase Postgres. You keep the workflows, the data, and the runtime.
The result is infrastructure a small team can operate without a platform team. Version controlled workflows, observable runs, structured error routing, and predictable costs that do not spike the month you finally get busy.
Where the market actually is
n8n crossed 200,000 active workflows in production usage during 2024 and its self hosted deployments doubled year on year. At the same time, Zapier and Make continue to raise per task pricing every renewal cycle. That gap is why owner operated automation is having a real moment.
The teams I work with are almost always in one of two situations. Either they have outgrown Zapier or Make and the monthly bill has become uncomfortable, or they are starting fresh and want to build on something they will still control in three years.
The parts that break in production
Real automation is not a single trigger and a happy path. It is FTP feeds that arrive late, webhooks that retry twice, records that arrive half formed, and downstream systems that rate limit at the worst possible moment. I design with those failure modes as the default assumption.
Multi branch workflows, cron scheduled reconciliation jobs, idempotent upserts into Supabase, and structured error routing are the difference between an automation that saves hours and an automation that quietly loses data.
How a build is scoped
A typical engagement starts with a short discovery call to identify the one workflow that would matter most if it ran itself. From there I document the current process, map the automation, agree the failure modes, and ship the first version inside a week.
Discovery is free. Fixed price builds start from the first working workflow and grow from there. Retained monthly support covers monitoring, alerts, quiet failure detection, and steady iteration on the workflows that are already live.
Recently shipped
A telecom outbound collections system that ingests overdue accounts from FTP, calls, detects voicemail, and captures payment on the call, all logged back to Supabase.
A deal sourcing pipeline for an acquisitions team that pulls listings from multiple marketplaces, qualifies broker replies with an LLM, and drafts Letters of Intent that route through a Slack approval gate before anything is sent.
A LinkedIn engagement engine that comments, detects replies through scheduled polling, and hands warm leads to a human via Slack alerts, with strict caps that stop the automation from spamming the same person twice.
Where I plug in
Some teams need an automation architect for a defined build. Others need a second set of eyes on a system that has grown past its original design. Both are fair engagements. If you are looking for an automation consultant who has actually operated the tools at scale, that is where I live.
n8n vs Make vs Zapier, which should I use?+
n8n if you want ownership, code friendly steps, and predictable cost at scale. Make if you need a strong visual builder with rich integrations. Zapier for the widest integration surface when speed to first automation matters more than long term cost.
Why self host n8n instead of using n8n Cloud?+
Self hosting removes per execution pricing, keeps sensitive data on your infrastructure, and lets you version workflows in git. For anything past hobby volume it is usually cheaper and safer.
How do you handle failed runs in production?+
Structured error routing at the workflow level, idempotent database writes so retries do not double post, and a monitoring channel that surfaces failed runs to a human within minutes rather than days.
Can automation replace an internal ops team?+
No, and it should not try. It reliably removes 25 to 40 percent of repetitive work so the ops team spends time on judgement, not data entry.