Bottleneck Discovery:
No distribution system for in-house plugins
Accepted Manual Process:
Dev hours on manual plugin updates across dozens of international sites including US, UK, India, Canada
My Build:
Developed internal repo system using GitHub that mirrored WordPress plugin repo functionality. Automated alerts in WordPress plugins page.
$10,000s/year saved
Bottleneck Discovery:
Manual GA4 reports emailed to each client
Accepted Manual Process:
Analyst time on copy-paste reporting—15 hours/week pulling GA4 data manually
My Build:
Developed custom n8n workflow: hits all GA4 API endpoints, runs data through OpenAI for analysis, auto-sends personalized reports to each client's inbox.
$60,000+/year saved
Bottleneck Discovery:
Manual header/footer updates across platforms
Accepted Manual Process:
Designer time on cross-platform sync between WordPress and Shopify
My Build:
Developed WordPress plugin with one-button sync. Rendered HTML, CSS, JS for components. Pushed to Shopify repo via GitHub API.
$10,000s/year saved
Bottleneck Discovery:
No CI/CD, no Git—manual everything
Accepted Manual Process:
Dev time on manual deployments, no version control
My Build:
Introduced GitHub for all clients. Set up DeployBot.io integration for automated deployment. First version control system at the company.
$10,000+/year saved—rollbacks, feature branching, no manual deploys
Tests written first. Code proven before it ships. This is why things don't break in production.
Proper structure. Maintainable code. Not spaghetti that falls apart at scale.
Singletons, Factories, Pub/Sub. Know why to use them, not just how.
Email to task app. Works with Monday, Asana, ClickUp, Jira. AI summary, priority, due date extraction.
Posted a tutorial on LinkedIn showing how to save $199/month on SEMrush. A few DMed asking if I could just do it for them. So I built this instead.
A client wanted leads of homes without solar panels in specific areas of his city.
A TypeScript toolkit for Google Analytics 4, Google Search Console, and Indexing API - designed for use with AI assistants like Claude Code.
Automated monthly GA4 reporting for Marks Media clients. Saved them $60,000/year.
Client wanted reporting for each social media site and overall campaign summaries. Saved their team tens of thousands per year.
Client wanted holistic keyword research from specific API endpoints and multi-LLM analysis for specified metrics. Saved him dozens of hours per month.
I host all my own services and to be SOC 2 compliant I need monitoring alerts from Grafana and Prometheus.
This was for a RevOps client that was spending Sundays reconciling Stripe, HubSpot, and Salesforce numbers. He got his Sundays back.
I wanted to save $200 a month and delete SEMrush. After I did that, I open-sourced this. Mom taught me to share.
Before AI, software engineers would do take home challenges. I was brought on as Lead Developer at PETA for being the only candidate to complete the challenge in under 4 hours.
An old WordPress plugin I built because I liked going to the gym and wanted to save workouts and share them.
When WordPress developers need an exact mirror of production locally, you need all the images. This runs image URLs through a filter to production. No downloading locally.
...'cause why not?