Common Room
AI go-to-market intelligence that turns fragmented buyer signals into person-level intelligence.
Overview
Common Room is an AI-native go-to-market intelligence platform that aggregates buyer signals from sources including GitHub, Slack, Discord, and dozens of others into unified, person-level buyer intelligence, then activates it with AI agents for GTM teams. Founded in 2020 in Seattle by Linda Lian, Tom Kleinpeter, Viraj Mody, and Francis Luu, it is used by teams at companies such as Notion, Snowflake, and Atlassian. Zoom announced its acquisition of Common Room on 2 July 2026.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 24 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
ASEAN Perspective
Common Room in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
What this is for: Unifying scattered buyer and community signals across 50+ sources into person-level intelligence and activating it for sales and marketing.
Who this is for: Go-to-market, sales, and developer-relations teams that want to spot and act on buying intent.
Availability: Commercial SaaS with a free Starter plan and paid tiers; acquired by Zoom (announced July 2026) and operating under Zoom's revenue platform.
What people say
Common Room's most consequential recent signal isn't a rating — it's that Zoom announced an agreement to acquire it on 2 July 2026, to fold its buyer-intelligence into Zoom's AI revenue platform (terms undisclosed). Coverage from GeekWire, TechNext and others framed it as the third major go-to-market intelligence consolidation in eight months, after Clari-Salesloft and Apollo-Pocus, which is itself a form of market validation. Before the deal, its credibility rested on a marquee customer list — Notion, Snowflake, Atlassian and Anthropic among them — for unifying fragmented buyer signals from GitHub, Slack, Discord and dozens of other sources into person-level intelligence.
Independent review volume is modest for a platform of its profile, so most public material is press and case studies rather than a deep G2 corpus of balanced pros and cons. Users who do write it up praise the breadth of signal capture and the AI activation layer; the usual friction points for this category are setup complexity and the work of turning raw signals into clean, trustworthy person records.
The dominant caveat now is the acquisition itself: roadmap, standalone pricing and even long-term product independence are uncertain while it's absorbed into Zoom, so prospective buyers should weigh integration risk and how the tool fits — or gets subsumed — inside Zoom's revenue stack.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Common Room's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Common Room unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
For the latest details, please refer to Common Room directly →
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