BitBoard
Analytics workspace for AI agents to build dashboards and reports.

What it does
BitBoard is an analytics workspace designed for AI agents. It allows users to connect their data sources, build dashboards and reports using AI chat or coding agents (like Claude, ChatGPT, Cursor), and share results with their team. The platform turns one-off AI chat threads into durable, traceable assets by storing connections, queries, and code. Users can rerun analyses with consistent logic, even if the logic was AI-generated.
Who it is for
BitBoard is for data analysts, product managers, and teams who want to leverage AI agents for data analysis but need to maintain reproducibility and collaboration. It is especially useful for those who use AI tools like Claude, ChatGPT, or Cursor and want to move beyond disposable chat threads to persistent dashboards and reports.
Why it matters
Traditional AI chat interactions for data analysis are ephemeral—queries and logic are lost after the conversation ends. BitBoard solves this by storing every step: data connections, queries, and code. This makes analysis traceable and repeatable, which is critical for data integrity and team collaboration. It also centralizes data from multiple sources, reducing setup time for each new analysis.
Launch signal
BitBoard launched as part of Y Combinator's P25 batch. The launch was announced on Hacker News with the title "Launch HN: BitBoard (YC P25) – Analytics Workspace for Agents." The website is live with a free tier available at app.bitboard.work.
Brand and naming
The name "BitBoard" suggests a board for bits (data) and evokes a dashboard or whiteboard for analytics. It is short, memorable, and tech-oriented. The tagline "Analytics Workspace for Agents" clearly positions the product as a tool for AI agents, differentiating it from traditional analytics platforms.
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