Systems that run your business.
And systems that grow it.
iotomayt builds automation, data pipelines, web apps and lead engines — on the tools you already own. Founded and run by one builder with a Big 4 corporate-finance background.
Two kinds of systems.
One studio.
Everything iotomayt ships falls into one of two funnels: the systems that run your operations, and the systems that bring you clients.
Run the business
The repetitive, error-prone, hours-eating work inside your operations — automated on the tools your team already lives in.
- Excel models, dashboards & VBA
- Google Sheets automation
- Array-formula & template engineering
- Apps Script workflows
- Python data pipelines & cleanup
- Scheduled jobs & API integrations
- Self-updating dashboards
- Power BI & Looker Studio
- Data QA, migration & consolidation
Grow the business
The systems that find, reach and convert clients — and the web presence that makes prospects take you seriously.
- Website design & development
- Web apps & internal tools
- Deployment, hosting & secure access
- Scraping & data collection at scale
- AI processing, enrichment & classification
- Interactive maps & data visualisation
- Cold-outreach & lead engines
- CRM setup & automation
- Booking & reminder systems
Real clients. Real numbers.
A sample of what's shipped. Every one started as someone's manual, painful process.
A 165k-row sheet was choking on array-formula recalculation. Rebuilt as an offline Python pipeline that pushes clean data back through the Sheets API.
Manual payroll calculations replaced with an Apps Script routine that reads hours and outputs pay, every cycle, with no hand-math.
Public sources scraped and AI-classified into a clean, categorised member directory, with no manual data entry.
A scraper watches competitor listings on a schedule and fires an alert the moment a relevant price moves.
A legacy Apps Script project migrated from the deprecated Rhino runtime to V8 and consolidated from 21 files into one maintainable codebase.
A reusable Google Sheets model that runs every real-estate deal through the same assumptions, scenarios and outputs.
A ten-sheet Excel operations workbook with CSE array formulas and a live dashboard, built under a strict no-VBA, no-Power-BI constraint.
A serverless pipeline that takes a phone call, transcribes it, extracts the donation details with an LLM, and writes a structured row to Google Sheets.
A 1,398-record competitor dataset built, QA'd and corrected, then turned into an interactive Leaflet map and a portfolio infographic.
A repeatable pipeline for taking exported web apps to a live, password-gated deployment on Vercel — diagnosing the build failures most people get stuck on.
Shopify stock, supplier feeds and a master Google Sheet kept in continuous two-way sync, so inventory is never wrong twice.
A real-time React dispatch board on Supabase that shows every job and driver status as it changes, replacing a physical whiteboard and a group chat.
Scraping plus enrichment plus sequenced cold outreach, assembled into a lead engine that surfaces qualified prospects every week on autopilot.
A web portal on Supabase + React giving owners and tenants their own secure logins for documents, requests and status — replacing scattered email threads.
A Power Query–driven Excel pack that ingests the source files and rebuilds the month-end reporting automatically — refresh instead of rebuild.
A booking-to-calendar automation that creates events, sends confirmations and fires reminders automatically, cutting no-shows without manual follow-up.
A data pipeline feeding a single Looker Studio dashboard so every store's KPIs sit side by side and refresh on their own.
A Python + OCR pipeline that reads incoming invoices, extracts the fields and writes a structured row straight into the ledger sheet.
A scraping-and-alerting system that monitors competitor pricing across SKUs and flags meaningful moves, with a dashboard for the full picture.
A web app with authentication and a paywalled member area, deployed on Vercel — content behind a clean, reliable login.
A 165k-row sheet was choking on array-formula recalculation. Rebuilt as an offline Python pipeline that pushes clean data back through the Sheets API.
Manual payroll calculations replaced with an Apps Script routine that reads hours and outputs pay, every cycle, with no hand-math.
Public sources scraped and AI-classified into a clean, categorised member directory, with no manual data entry.
A scraper watches competitor listings on a schedule and fires an alert the moment a relevant price moves.
A legacy Apps Script project migrated from the deprecated Rhino runtime to V8 and consolidated from 21 files into one maintainable codebase.
A reusable Google Sheets model that runs every real-estate deal through the same assumptions, scenarios and outputs.
A ten-sheet Excel operations workbook with CSE array formulas and a live dashboard, built under a strict no-VBA, no-Power-BI constraint.
A serverless pipeline that takes a phone call, transcribes it, extracts the donation details with an LLM, and writes a structured row to Google Sheets.
A 1,398-record competitor dataset built, QA'd and corrected, then turned into an interactive Leaflet map and a portfolio infographic.
A repeatable pipeline for taking exported web apps to a live, password-gated deployment on Vercel — diagnosing the build failures most people get stuck on.
Shopify stock, supplier feeds and a master Google Sheet kept in continuous two-way sync, so inventory is never wrong twice.
A real-time React dispatch board on Supabase that shows every job and driver status as it changes, replacing a physical whiteboard and a group chat.
Scraping plus enrichment plus sequenced cold outreach, assembled into a lead engine that surfaces qualified prospects every week on autopilot.
A web portal on Supabase + React giving owners and tenants their own secure logins for documents, requests and status — replacing scattered email threads.
A Power Query–driven Excel pack that ingests the source files and rebuilds the month-end reporting automatically — refresh instead of rebuild.
A booking-to-calendar automation that creates events, sends confirmations and fires reminders automatically, cutting no-shows without manual follow-up.
A data pipeline feeding a single Looker Studio dashboard so every store's KPIs sit side by side and refresh on their own.
A Python + OCR pipeline that reads incoming invoices, extracts the fields and writes a structured row straight into the ledger sheet.
A scraping-and-alerting system that monitors competitor pricing across SKUs and flags meaningful moves, with a dashboard for the full picture.
A web app with authentication and a paywalled member area, deployed on Vercel — content behind a clean, reliable login.
I build the fix —
and tell you what's worth fixing.
Most automation freelancers build whatever you ask. Years inside corporate finance taught me to look first at what a broken process actually costs you — so we automate where it pays back, not just where it's technically fun. You get the build, and the business case behind it.
iotomayt is an independent automation and web studio: I transform the tools and processes you already run. Every project is scoped, built and documented by me; for heavier specialist work I run a vetted network of senior builders, under one point of accountability: mine.
What clients say after handover.
He understood our process better than we did, then made it disappear. We don't touch that file anymore.
Scoped like a consultant, delivered like an engineer. Fixed price, hit it, documented.
Our 165k-row sheet went from unusable to instant. Worth every cent.
Live and password-gated in days — after weeks of us failing to deploy it ourselves.
He scraped and cleaned a whole market we thought was impossible to map.
Voice donations land in our sheet automatically now. No more late-night data entry.
He understood our process better than we did, then made it disappear. We don't touch that file anymore.
Scoped like a consultant, delivered like an engineer. Fixed price, hit it, documented.
Our 165k-row sheet went from unusable to instant. Worth every cent.
Live and password-gated in days — after weeks of us failing to deploy it ourselves.
He scraped and cleaned a whole market we thought was impossible to map.
Voice donations land in our sheet automatically now. No more late-night data entry.
Have a process that looks like one of these?
Describe it in one sentence. You leave the call with a clear scope and a fixed price — not a sales pitch.