MixRank is a data intelligence company founded in 2011 by Scott Milliken and Aswin Shibu, headquartered in San Francisco with a fully remote workforce of approximately 30–77 employees. The company was accepted into Y Combinator’s Summer 2011 batch and has remained profitable and bootstrapped ever since, raising $1.5–2.13M across multiple rounds from investors including Mark Cuban, 500 Startups, Lighter Capital, and SV Frontier. MixRank processes over 3 petabytes of data every month for hundreds of customers spanning Fortune 500 companies, top-tier venture capital and private equity firms, and high-growth startups.

The platform curates the world’s most frequently updated feed of people, company, and technographic datasets, with updates delivered at hourly intervals. The core database spans 20M+ iOS and Android apps with complete SDK integration data, 80M+ websites with detailed technology stack detection, 45M+ company profiles with firmographic attributes, 800M+ employee profiles with professional histories and contact information, and 500M+ candidate records. Every month, MixRank processes 1 billion+ web technology detections, adds 45M+ new job posts, scans 125M+ employee profiles, and detects 100,000+ new mobile SDK integrations. This scale of real-time data processing powers five distinct solution areas: B2B data enrichment for sales and marketing teams; investment intelligence for venture and private equity research; candidate enrichment for recruitment platforms and HR tech; fraud prevention and identity resolution for security and compliance; and mobile app and SDK intelligence for product, competitive, and market analysis.

Delivery is flexible — data is accessible via REST APIs, raw data feeds, custom integrations with customer data platforms and CDPs, and bulk licensing agreements. Unlike single-source data providers, MixRank’s strength lies in continuously ingesting signals from web crawling, Google Play Store and Apple App Store monitoring, social media intelligence, and dozens of proprietary sources, then synthesizing them into unified, hourly-refreshed datasets. Customers use this data to grow sales, react to competitors, plan market strategies, retain customers, and inform investment decisions. The company emphasizes long-term customer relationships (most customer relationships span years), operates with minimal sales overhead, and maintains a strong engineering culture with fully automated development environments and production deployments multiple times per day.