# Onfire AI - Research Comparison How does Onfire AI compare to Common Room? - Website: https://onfire.ai - Updated: 2026-10-27 - Status: watch - Web version: https://www.commonroom.io/compare/onfire-ai/ai/ ## Summary Vertical AI revenue intelligence platform for B2B software infrastructure companies. Account Intelligence Graph captures prospect-level intent signals to target and engage technical buyers. ## Company info - **Funding:** $20M Seed - **Founded:** 2023 - **Team:** 35 ## Critical Notes - Vertical AI built exclusively for selling to technical buyers - De-anonymization links Reddit, Discord, GitHub activity to individuals and accounts - Niche: little value if not selling to engineers, developers, or IT security - Privacy and ethics risk from unmasking pseudonymous users - Seed-stage, launched Oct 2025, 35 staff - SOC2 Type II, ISO 27001, GDPR, CCPA compliant ## Key Features - Account Intelligence Graph tracking 50 million engineers - Prospect-level intent signals from Reddit, Discord, and GitHub - Entity resolution and de-anonymization of public activity - Real-time technographics verified through technical activity - Model Context Protocol (MCP) server for AI agents like Claude - CRM and Sales Engagement integrations - AI-powered account research and prioritization ## Details Officially Onfire AI Ltd., HQ Ramat Gan, Israel. Founded 2023 by Tal Peretz, Shahar Shavit, Nitzan Hadar; two years in stealth. $20M Seed (Oct 2025) co-led by Grove Ventures and TLV Partners, with IN Venture and Leumi Tech. Revenue undisclosed; claims over $50M in deals closed for early SaaS clients. ~2,715 LinkedIn followers. Sales-led: direct and enterprise selling to B2B software infrastructure vendors, credit and contact-based pricing with volume discounts. Free trial and up to 50 free leads gated behind qualification call and 30-minute demo. Closed-source; mines open-source data (GitHub, OSS adoption) for signals but publishes no code. ## Signals compared to Common Room ### 1st Party - Included: Bi-directional CRM and sales engagement sync; product trials, website visits, CRM records; AI agent merges private CRM data with graph without cross-tenant exposure - Missing: CRM vendors not named; no marketing automation, chat/support, customer success, data warehouse, or paid ads; no named sales engagement list ### 2nd Party - Included: Public developer communities (GitHub PRs/forks/issues/stars, Reddit, Discord, Stack Overflow, Slack, Hacker News); event platforms Luma and Meetup - Missing: No owned-community platforms, review sites (G2), social (LinkedIn, X, YouTube), commerce; community count inconsistent (25k vs 100k) ### 3rd Party - Included: Technographics from developer activity; hiring patterns and job changes; offline event attendance; firmographic and IP cross-reference; 50M engineers, 5M daily events - Missing: No intent vendors (6sense, Bombora, Demandbase, G2); no news signal; no non-technical buyer coverage ### Custom - Included: MCP server (Claude/ChatGPT); Chrome extension for LinkedIn Sales Navigator; Data Access REST API; bespoke AI tuning for golden personas - Missing: No documented CSV, Zapier, or Google Sheets; webhooks only in alerts; custom signal ingestion unclear 1st Party: bi-directional CRM and sales engagement sync; ingests trials, website visits, CRM records; AI agent merges private data with graph without exposing it to other users. 2nd Party: monitors public developer communities (GitHub, Reddit, Discord, Stack Overflow, Slack, Hacker News); tracks PRs, forks, issues, stars for OSS adoption; de-anonymizes posts to contactable individuals. 3rd Party: Account Intelligence Graph of 50M engineers and 5M daily events; technographics from hiring, job changes, developer activity; Luma and Meetup event attendance; firmographic and IP cross-reference. Custom: MCP server for Claude; Chrome extension for LinkedIn Sales Navigator; REST API; bespoke golden persona tuning; CSV, Zapier, webhooks undocumented. ## Identity compared to Common Room ### Enrichment - Included: Verified technographics; real-time intent evidence appended to CRM; contact and company enrichment API endpoints - Missing: No waterfall enrichment; no verified phone numbers; no AI quality control; 50M engineer directory; credit-based ### AI Powered - Included: NLP de-anonymization engine; evidence trail on every identity; scoring from closed-won patterns; feedback loops from outreach, meetings, win/loss - Missing: Handle/text-based matching, no image matching; cold start for new customers; needs clean CRM data ### Identity - Included: Resolves GitHub, Reddit, Discord, Hacker News, Stack Overflow handles, signup emails, LinkedIn profiles to named individuals; prospect-level intent - Missing: No documented merge review or manual merge; no ongoing job-change maintenance; engineers only; privacy exposure Identity: resolves pseudonymous profiles across GitHub, Reddit, Stack Overflow, Discord, Slack, Hacker News and events to named individuals via usernames, signup emails, LinkedIn; prospect-level, not account-level. Enrichment: technographics inferred from developer signals and OSS adoption; titles, roles, contacts, firmographics, funding, hiring velocity; real-time intent evidence appended to CRM; contact and company API endpoints. AI: NLP de-anonymization engine; evidence trail for every insight; scoring from closed-won commonalities; continuous learning from outreach, meetings, forecast changes, win/loss. ## Automation compared to Common Room ### Combine - Included: Account Intelligence Graph joins CRM, community footprints, event attendance, technographics for triggers and filters - Missing: Fewer sources; no G2, social, intent vendors, marketing automation, CS, warehouse, ads ### Score - Included: ML scoring on closed-won patterns; weights individual technical signals over company surge; ranked daily queue - Missing: No clear user-defined rule scoring or custom fields; needs closed-won history; weak outside technical personas ### AI Message - Included: AI drafts grounded in community pain points, usage trends, real-time intent - Missing: Drafts only; sending, sequencing, reply tracking external; OpenAI subprocessor; template depth unclear ### AI Research - Included: Overnight account research briefs; conversational MCP copilot; finds hidden champions, competitive threats, technical challenges - Missing: Requires customer's own Claude/ChatGPT; no CLI; no documented prompt library; developer footprint scope only Workbench: daily prioritized ICP account queue with auto-identified technical champion. Workflow: agentic signal-triggered multi-step actions (briefs, CRM updates, draft sequences) with human approval. Alert: custom alerts via MCP copilot or webhooks on GitHub issues, technographic changes, web intent; routed to account owner. Combine: Account Intelligence Graph merges CRM, community footprints, events, technographics, firmographics. Score: AI scoring on closed-won patterns, weighting niche technical signals; ranked daily queue. AI Message: AI drafts grounded in intent signals, usage trends, community pain points. AI Research: overnight account research; MCP conversational copilot to find champions, threats, technical challenges. ## Support compared to Common Room ### Systems - Included: Email (support@, privacy@); web forms; dedicated human support in trial; MCP and REST API; trust center; AWS (US/DE), Auth0, OpenAI, Mixpanel, LogRocket - Missing: No chatbot, live chat, status page, or in-app help; SLAs unclear; small team scale risk ### Content - Included: docs.onfire.ai (API, MCP, identity resolution, enrichment); resource center with guides, case studies, glossary, blog, AI GTM Calculator; YouTube demos; security and compliance docs - Missing: Developer-skewed docs; no academy or certification; shallow case studies; $50M closed claim unverified ### Community - Included: none - Missing: No user community, forum, template gallery, or peer network ...