Sprig builds a UX research platform centered on surveys and session replay, with AI-driven analysis to cluster feedback and surface patterns. The stack—Redis, PostgreSQL, ScyllaDB, ClickHash, Kafka—points to a data-heavy backend optimized for high-throughput ingestion and real-time analysis. Active development on SDKs, backend AI systems, and dashboard UX, combined with hiring pressure on scaling data pipelines and AI inference, shows the company is deepening product depth rather than chasing breadth.
Sprig is a research platform for product and UX teams, enabling in-product surveys, long-form feedback capture, and session replay analysis without requiring engineering lift. The product uses AI to cluster themes and flag patterns across user feedback at scale. Founded in 2019 and based in San Francisco, Sprig is backed by Andreessen Horowitz, Accel, First Round Capital, and Figma Ventures. The company is 51–200 employees, hiring primarily in engineering roles across the United States, with steady velocity. Sales and go-to-market infrastructure (Salesforce, Gong, Outreach, LinkedIn Sales Navigator) suggest direct sales as the primary channel.
Core infrastructure: Redis, PostgreSQL, ScyllaDB, ClickHouse, Kafka, gRPC, REST, WebSocket. Frontend: React, TypeScript, Node.js, JavaScript. GTM and ops: Figma, Notion, Salesforce, Gong, Outreach, LinkedIn Sales Navigator.
Current projects: SDK development and deployment, core backend for AI insights, high-performance SDKs, React dashboard, event-based targeting systems, and backend endpoint optimization. Focus is on scaling AI capabilities and platform reliability.
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