Common Room

Common Room is a customer intelligence platform that aggregates buying signals from 50+ sources including community forums, product usage, social media, GitHub, G2, and website activity into a unified view, then uses AI-powered agents to identify, enrich, and activate high-intent accounts.

Core Features:

• Signal aggregation across 50+ native integrations pulling in community engagement (Slack, Discord, GitHub), social mentions, website visits, product usage, G2 buyer intent, Bombora topics, and job changes into a single unified timeline per person and account.
• Person360 identity resolution and waterfall enrichment engine that connects cross-platform activities to individual people, de-anonymises visitors, and enriches contacts with verified emails, phone numbers, and firmographic data at industry-leading match rates.
• AI-powered scoring and prioritisation with fully customisable signal weighting, allowing RevOps teams to build complex models that rank accounts and contacts based on the specific buying behaviours that matter most to their GTM motion.
• RoomieAI agents including Capture (hunts down buying signals autonomously) and Activate (personalises outbound messages using signal context), enabling teams to move from signal detection to action without manual research.
• Workflow automation and CRM sync with native Salesforce and HubSpot integration, automated lead routing, and the ability to trigger plays based on specific signal combinations, ensuring high-intent prospects are actioned immediately.

Best For:

Mid-market and enterprise B2B SaaS companies (Series B+) running product-led or community-led GTM motions where buying signals originate from developer communities, open-source projects, and product usage rather than traditional advertising. Requires RevOps capacity to configure and maintain. Used by companies like Notion, Figma, and Superhuman.