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Teamleader → Google Contacts Two-Way Sync Pipeline
When your CRM and Google Contacts fall out of sync, things get missed. This keeps them aligned automatically across every contact field.
Built a Make.com automation that triggers instantly when contacts are updated in Teamleader, routes through a multi-path router to handle different contact types and field structures, and runs each path through a Teamleader data fetch, array aggregation, and Google Contacts create/update — across eight parallel routing branches covering the full range of contact scenarios.
Contact updated in Teamleader. Google Contacts reflects it immediately. Every field. Every time.
Stack: Make.com · Teamleader · Google Contacts · Router · Array Aggregator
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I have noticed that among all these great projects, a few key points are being missed.
Details and completion are among the most important factors in a project presentation, especially for a high-profile competition like the #ConfigMakeathon.
Here is a quick reminder/tutorial for everyone to use the full potential of Figma Make's settings! Hope it helps, and happy developing! 🌐✨
We love helpful tips! Thanks for sharing this!
I joined this year's Config Makeathon and decided to build something inspired by a problem I've repeatedly encountered while working in CRM and lifecycle marketing.
CRM platforms are built around flows, campaigns, and automations. Customers are not.
When trying to understand what a customer actually experienced, I often found myself jumping between multiple journeys, templates, campaigns, and reports just to answer a simple question:
What happened, why did it happen, and what happens next?
So I built Trace.
Trace is a lifecycle debugging tool that helps teams:
• Replay customer journeys in a single timeline
• Understand why communications were triggered
• Simulate future customer experiences before launch
• Review every message in one place
• Identify journey conflicts and lifecycle issues before they impact customers
The idea came from real CRM consulting work. To bring it to life, I used ChatGPT to refine the concept, challenge assumptions, and iterate on the product structure, then used Figma Make to rapidly turn those ideas into a working prototype. After several rounds of prompting, testing, and revisions, the concept evolved into the MVP shown here.
The project was designed and prototyped entirely in Figma Make.
Would love to hear your thoughts!
🎥 Try the demo: https://tracedebug.figma.site/dashboard
🧩 Figma Community: https://www.figma.com/community/file/1647280144583934618
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