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Built an AI-powered lead qualification system that scores and routes leads automatically.
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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
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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