An all-in-one product analytics platform with event tracking, session replay, feature flags, A/B testing, and LLM observability — replacing five separate SaaS tools.
PulseAnalytics is an all-in-one product analytics platform that replaces five separate SaaS tools — Mixpanel (event analytics), FullStory (session replay), LaunchDarkly (feature flags), Optimizely (A/B testing), and Segment (CDP pipelines) — in a single self-hostable deployment. With a uniquely transparent development approach (public handbook, public roadmap), it has become the analytics platform of choice for product teams who want to own their data and understand the full user journey without stitching together fragmented tools.
Product teams at growth-stage companies typically pay $5,000–50,000 per month across four or five analytics SaaS tools that don’t share data with each other. Session replays can’t be correlated to feature flag states. A/B test results can’t be segmented by the behavioral cohorts defined in the event analytics tool. Every insight requires exporting data from one tool and importing it into another. Meanwhile, AI-native product teams shipping LLM features have a new monitoring problem: prompt performance, token costs, model output quality, and user satisfaction all need to be tracked in the same platform as product metrics — a use case no existing analytics tool was designed for.
PulseAnalytics unifies the analytics stack on a single data model where every event, session replay frame, feature flag evaluation, and experiment exposure shares a common user identity. Product teams navigate from a funnel drop-off to the session replay of the exact user who dropped off, in two clicks, without leaving the platform. The ClickHouse columnar backend enables sub-second queries on billions of events — performance that PostgreSQL-backed analytics tools can’t match at scale. The LLM Analytics module instruments AI features directly: tracking prompt inputs, model responses, latency, token consumption, and user ratings alongside standard product events. For CTOs, the Rust-based CDP pipeline processes event streams at throughput that competes with dedicated pipeline infrastructure.
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