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Automating error handling, finally
I've recently worked on an error handling project, using n8n to connect Google Sheets, Telegram, and Gmail. It's been a great experience, my workflow is more stable and I've got more time to focus on other tasks
Follow for more: https://go.phonezait.de/
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Related posts
Automating my weekly reports
I've recently completed a project where I used n8n to automate my weekly business reports, connecting Google Sheets, Gmail, and Telegram. It's been a huge time-saver and I'm glad I didn't have to write any complex code
Follow for more: https://go.phonezait.de/
Hi Everyone! Excited to create with the Makeathon.
I'm making Logistics Resource Management System (LRM) gives logistics leaders a single command center: AI-triaged incidents, real-time SLA risk scores, automated carrier dispute resolution, multi-modal route optimization, and compliance reporting all connected to your existing ERP, WMS, and carrier APIs.
For example, global supply chains lose billions annually to shipment exceptions, SLA breaches, and unresolved carrier disputes most of which go undetected until it's too late. The operations teams winning today aren't working harder. They're working with better intelligence. Sarah doesn't chase emails anymore. She executes decisions in seconds.
Ready to see LRM in action? Watch the full product walkthrough ↓
Live demo: https://disc-steep-75883810.figma.site
Matching loan applicants to the right product manually is slow, inconsistent, and doesn't scale. This handles the entire decision tree automatically.
Built one of the most complex Make.com automations in this portfolio a Loan Match Quiz system that captures quiz responses via webhook, fetches the applicant data, then fans out across a massive multi-branch router. Each branch evaluates the quiz answers against loan criteria, sets the relevant variables via Supabase-style data nodes, and triggers a tailored email sequence based on the matched loan product. Dozens of routing paths cover every possible quiz outcome, ensuring every applicant gets the right response, the right offer, and the right follow-up instantly.
Quiz submitted. Profile matched. Personalised loan offer emailed. Automatically.
Stack: Webhooks · Make.com · HTTP · Supabase · Router · Email
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