Databuddy

Founders and developers without a dedicated data team need to track visitors, signups, funnels and revenue, but doing so usually means stitching together separate tools for analytics, uptime monitoring, error tracking, performance (Web Vitals) and feature flags. Standard analytics setups also require cookie consent banners, adding friction and legal overhead. Even when the data is collected, non-technical founders often cannot write the queries needed to answer specific questions like which referrers produced paying customers.

Databuddy collects traffic, custom events, conversion funnels, error tracking and Web Vitals from a single script, so teams do not need separate tools for each. It adds uptime monitoring, feature flags, and short links in the same dashboard. A built-in AI analyst called Databunny lets users ask questions about traffic, funnels, errors or performance in plain language and shows the underlying query it ran, and on paid plans it proactively checks metrics and posts notable changes to Slack. The product also connects via MCP to tools like Claude and Cursor, letting an AI coding agent pull analytics data and set up funnels, goals and flags directly from the editor.