Company Overview
About Count
Count is a collaborative data notebook platform founded in 2019 in London, designed to bridge the gap between data analysis and business communication. Unlike traditional BI tools that separate analysis from presentation, Count provides a single infinite canvas where analysts write SQL and Python cells, create charts and tables, and add narrative context — all in one shareable document. This notebook-meets-whiteboard interface enables data teams to take an analysis from raw query to polished stakeholder presentation without exporting data or switching tools.
Business Model & Competitive Advantage
The platform connects to modern cloud data warehouses including BigQuery, Snowflake, Redshift, and Databricks, and supports version history, comments, and real-time collaboration so teams can work together on a single analysis rather than passing files back and forth. Count's canvas-based layout is more flexible than row-by-row notebook formats like Jupyter, allowing analysts to arrange SQL cells, charts, and explanatory text spatially in a way that mirrors how analysts actually think through problems. Templates for common analysis patterns — cohort analysis, funnel analysis, revenue attribution — help teams get started quickly.
Competitive Landscape 2025–2026
Count competes in a crowded space alongside Hex, Mode, and Observable, but differentiates on its emphasis on collaborative canvas-style analysis rather than sequential notebook cells. The company has positioned itself as a tool for cross-functional analytics teams where both data professionals and business stakeholders need to engage with the same analysis artifact. Count raised a Series A and has grown its customer base among venture-backed SaaS companies that value fast, collaborative data work over heavyweight BI deployments.
Open Positions
Reddit Discussions
Key Differentiators
Emerging Innovator
Count is an emerging player bringing innovative solutions to the Data & Analytics market.
Frequently Asked Questions
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