make.com

Make is a visual workflow automation platform that enables users to connect apps and automate tasks without coding. Its core positioning as a low-code automation engine uses an intuitive drag-and-drop interface, allowing users to build complex workflows by linking tools like Google Sheets, Slack, Notion, and Salesforce. With integrated AI, Make supports intelligent decision-making, text generation, and image recognition, blending traditional automation with AI-enhanced capabilities. Key differentiators include an extremely low entry barrier, thanks to clear trigger-action-route logic that non-technical users can grasp in minutes. It offers over 2,000 pre-built connectors and templates, covering office productivity, marketing, development, and e-commerce. Flexible conditional branching and loops handle complex business logic, while real-time monitoring and error handling ensure stable execution. A generous free tier provides 1,000 operations per month, with paid plans unlocking higher volume, more concurrent tasks, and team collaboration features. Typical use cases span marketing—automating social media data collection and daily reports; e-commerce—linking order confirmations, inventory updates, and shipment tracking; and development—triggering notifications and post-deployment testing in CI/CD pipelines. AI features enable content creators to generate summaries, translate files, or intelligently classify emails. The platform serves business users lacking programming skills, small business owners, and developers who can embed custom JavaScript or Python for deep customization. Founded in 2016 as Integromat, Make was acquired by Celonis in 2020 and rebranded in 2022, marking a shift from professional tool to accessible automation platform. Its distributed microservices architecture supports high-concurrency processing of thousands of workflow instances. With full Chinese interface and documentation, Make has attracted over 5 million global users, competing with Zapier and n8n by offering a more intuitive debugging experience and stronger AI extensibility.