Real-time ecommerce fraud prevention with human-backed guarantees
NoFraud operates a fraud-detection platform for ecommerce, combining algorithmic screening with human review to deliver binary pass/fail decisions on transactions. The tech stack reveals a backend-heavy build (Node.js + NestJS + TypeScript + Kafka + MySQL) paired with lighter frontend work (React + Tailwind), suggesting their core complexity lives in real-time decision systems and messaging infrastructure rather than UI. Active hiring skews toward support (3 roles) over engineering (2), while projects cluster around customer onboarding, account health, and renewal workflows — indicating the company is maturing from pure fraud detection into SaaS retention and expansion.
NoFraud provides fraud prevention and checkout optimization for ecommerce merchants. The product scans every transaction in real-time using algorithms and human review teams to approve or decline orders, then backs decisions with a 100% chargeback guarantee. The company operates from New York and was founded in 2014. With 51–200 employees, they maintain a distributed hiring footprint across the United States, France, and Brazil. Current operational focus spans customer onboarding, Kafka-based messaging infrastructure scaling, account health monitoring, and improving renewal and QBR processes — pain points centered on churn prevention and approval-rate optimization.
NoFraud uses Node.js, NestJS, TypeScript, and MySQL for backend services. Frontend runs on React with Tailwind CSS. Kafka handles messaging infrastructure. Development tools include Cursor, Jira, Confluence, and Figma.
Current projects include Kafka messaging infrastructure, customer onboarding and enablement, backend services and REST APIs, account health monitoring, QBR and renewal process improvement, and AI tool integration.
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