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A real-time manufacturing intelligence platform that aggregates live ERP and production data to provide AI-powered operational analytics, work order monitoring, predictive insights, and factory-wide visibility.
Bindwel System Monitoring is an enterprise operational intelligence layer built for manufacturing organizations that need live visibility across ERP ecosystems, production systems, machine workflows, and work order pipelines. By synchronizing data from ERPNext, Odoo, PLANB ERP, and other enterprise systems, the platform turns fragmented operational data into a unified command surface for real-time monitoring, manufacturing analytics, predictive risk analysis, and AI-driven decision support.::
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
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I've been working on something over the past week, that started as job board exploration but the more I built the more I realised the valuable part wasn't the jobs, its everything that happens after you apply.
So FOUND slowly evolved into something closer to a job search operating system with:
• Application tracker
• Kanban board
• Calendar view
• Interview timeline
• Notes workspace
• Reminders & follow-ups
• Momentum tracking
Whether opportunities come from LinkedIn, referrals, recruiters, startup websites, or job boards, everything lives in one place.
Still a work in progress, but it's been a fun reminder that sometimes the best product ideas appear while you're building.
Built with Next.js, TypeScript, TailwindCSS, Framer Motion, and Supabase.
Kyma is a SaaS analytics dashboard designed to give music artists full control over their ticket sales and revenue data. By centralizing performance metrics from multiple platforms and providing real-time insights into sales trends—such as peak purchase hours and top-selling artists, the project delivers a clear, data-driven tool to help users optimize their commercial strategy.
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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