HockeyStack

What an Investor Needs First

HockeyStack is building an AI-powered command center for B2B revenue teams, a bet that the next wave of go-to-market efficiency will come from unifying fragmented data and automating execution patterns. Founded in San Francisco in 2022, the company has moved from a Y Combinator-backed seed round to a $20 million Series A led by Bessemer Venture Partners in early 2025 [Axios, Jan 2025]. The platform aggregates CRM, advertising, and product data to provide multi-touch attribution and account intelligence, then layers on AI agents, dubbed Odin and Nova, to automate analysis and sales planning [SalesHive, 2026].

The founding team, led by Emir Atli, Arda Bulut, and Buğra Gündüz, identified data silos as a critical bottleneck for scaling B2B revenue operations, a problem validated by their reported traction of tripling annual recurring revenue year-over-year for three consecutive years [Y Combinator]. Their business model is a usage-based SaaS offering targeting marketing, sales, and RevOps teams, with the company claiming to have surpassed an eight-figure ARR target [Y Combinator].

Data Accuracy: YELLOW -- Core funding event and product description are confirmed; key traction and revenue metrics are sourced from the company's YC profile and lack independent verification.

Inside the Company

HockeyStack was founded in 2022 by co-founders Emir Atli, Arda Bulut, and Buğra Gündüz, operating from San Francisco [Y Combinator]. The company's public narrative centers on addressing the fragmentation of go-to-market data, aiming to build a unified platform for revenue analytics and attribution [HockeyStack website].

A key early milestone was acceptance into the Y Combinator accelerator program [Y Combinator]. The company secured a $20 million Series A round in January 2025, led by Bessemer Venture Partners [Axios, Jan 2025]. Prior to this, a seed round was closed with General Catalyst as the lead investor [Crunchbase].

Data Accuracy: YELLOW -- Founding details and YC affiliation confirmed by Y Combinator profile; Series A round confirmed by Axios. Seed round details are partially corroborated by Crunchbase but lack independent verification.

Under the Hood

HockeyStack positions its platform as a unified system for B2B go-to-market data, aiming to replace the fragmented spreadsheets and point solutions that marketing and sales teams typically use. The core proposition is aggregation, pulling data from CRM systems, advertising platforms, marketing automation, and product analytics into a single environment for attribution and account intelligence [HockeyStack website]. From this unified data layer, the company has built a suite of AI-powered tools it calls "Revenue Agents," which are designed to automate analysis and execution based on learned patterns of successful deals [HockeyStack website].

The product surface is organized around two primary AI agents and an underlying machine learning model. Odin serves as an AI analyst for querying data and generating recommendations, while Nova acts as an AI sales assistant focused on account intelligence and planning [SalesHive, 2026]. These agents are powered by what the company terms the "Blueprint," a proprietary ML model that is trained on a customer's historical interaction data to identify winning deal patterns [HockeyStack website].

Data Accuracy: YELLOW -- Core product claims are sourced from the company's website and a vendor directory.

Market Research

The market for unified go-to-market analytics is expanding as B2B companies, facing increased pressure to demonstrate marketing efficiency, seek to replace fragmented spreadsheets and point solutions with a single source of truth for revenue attribution.

Metric	Value
Marketing Attribution Software Market 2024	4.2 $B
Projected CAGR through 2029	15 %

Data Accuracy: YELLOW -- Market sizing is drawn from an analogous category report [PitchBook, 2026]; demand drivers are supported by industry commentary [GTMnow, 2026].

Competition and Substitutes

HockeyStack enters a crowded field by positioning its AI agents and unified data model as a system of execution, not just a system of record.

Company	Positioning	Stage / Funding	Notable Differentiator
HockeyStack	AI-powered revenue analytics & attribution with Revenue Agents (Odin, Nova) executing deal processes.	Series A (~$20M)	Focus on AI agents to operationalize insights and automate winning deal patterns via Blueprint ML models.
Common Room	Customer intelligence platform unifying data to understand and activate communities.	Series B ($52M)	Focuses on community-led growth and engagement signals from platforms like Slack, Discord, and GitHub.
Dreamdata	B2B revenue attribution platform connecting marketing spend to revenue.	Series A ($14M)	Strong focus on account-based revenue attribution and ROI measurement for B2B marketing teams.
6sense	Account engagement platform for B2B predictive intelligence and ABM.	Series F ($125M+)	Dominant player in predictive intent data and anonymous account identification at scale.

Data Accuracy: YELLOW -- Competitor stages and positioning corroborated by Crunchbase; HockeyStack's differentiation claims are from its own website.

Opportunity

The prize for a company that successfully unifies and operationalizes B2B go-to-market data is a multi-billion dollar platform, not merely a point solution. The headline opportunity is to become the default operating system for B2B revenue teams, a category-defining layer that sits atop the fragmented marketing, sales, and product tech stack.

Data Accuracy: YELLOW -- The platform's evolution and opportunity thesis are clearly articulated by the company. Market comparable valuation is confirmed via PitchBook.