I built a Make.com (http://Make.com) automation that processes API data and sends automated email alerts. The workflow starts by making HTTP requests, parsing JSON responses, and iterating through data to process multiple records. It applies logic using tools to structure and refine the data before sending it through additional API calls. Finally, the system compiles the processed results and sends them via Gmail. This automation ensures efficient data handling and real time notifications.
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I built an n8n automation that processes incoming webhook requests and routes them based on predefined rules. The system uses a switch node to direct requests into different workflows such as IP lookup, domain analysis, hash checks, and CVE data processing. Each branch handles a specific function and returns structured responses via webhooks. This automation enables real-time data processing, improves efficiency, and ensures accurate routing for different cybersecurity related queries.
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I built a Make.com (http://Make.com) automation that processes incoming data and routes it across multiple CRM workflows and Slack channels. The system uses routers to split data into different paths based on conditions, assigns it to the appropriate CRM pipelines, and triggers Slack notifications for each case. It ensures structured handling of information, real time communication, and efficient task execution across multiple channels without manual intervention.
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I built an Airtable CRM system to manage real estate transactions, contacts, and deal stages. The system organizes properties by status such as active, pending, under contract, and closed while tracking financing, pricing, and commissions. It includes filtered views, grouped data, and structured tables to simplify deal management. This helps businesses monitor transactions efficiently, improve organization, and make better decisions.