Competitive pricing intelligence API for eCommerce brands
Anakin delivers real-time competitor pricing data to eCommerce stores via API, powered by web scraping and ML-driven categorization. The tech stack is heavily automation-focused (n8n, Make, Workato, Zapier, Tray.io, Retool) paired with core data processing (Python, SQL, PostgreSQL on AWS), suggesting the company has built a data-collection and transformation engine but is now shifting focus to revenue infrastructure — evidenced by active projects around GTM playbooks, sales automation, and pricing product launches. Pain-point clustering around scaling outbound sales without proportional headcount growth indicates they're moving from pure platform toward a more operationalized, revenue-driven motion.
Anakin is a YC S21-backed competitive intelligence platform that aggregates pricing, product, and trend data from competitor eCommerce stores and feeds it back to brands and online retailers as a real-time API. The company collects and processes web data at scale using machine learning to normalize and categorize competitive signals, allowing merchants to adjust pricing strategy in days rather than weeks. Founded in 2019 and headquartered in San Francisco, Anakin operates with 51–200 employees and is currently hiring across product, engineering, and go-to-market functions, with active recruitment in India.
Anakin runs Python, JavaScript, TypeScript, and SQL for core development; AWS (Lambda, SQS, ECS, ECR) for infrastructure; PostgreSQL for data storage; and a heavy automation layer including n8n, Make, Workato, Zapier, Tray.io, and Retool.
Current priorities include net-new revenue generation, sales playbook implementation, product launches around pricing solutions, GTM automation infrastructure, customer onboarding optimization, and workflow automation for efficiency.
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