Posthog
107 mises à jour · 2026
19 feature updates·18 content pieces·9 CONTENT MARKETING·5 pricing updates·4 technical updates·3 FEATURE UPDATE·2 new integrations·2 community signals
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Pricing updated for Posthog: - Free: allowance changed from 1 project, 1-year data retention, free tier limits to Usage capped at free tier limits - Pay-as-you-go: allowance changed from Pay nothing i…
PostHog released a Slack app in beta that allows users to tag @PostHog with requests to generate code, fix bugs, or analyze product data. The bot creates sandboxed PRs, runs tests, and addresses revie…
PostHog introduced a Slack app in beta that integrates its AI agent into Slack channels. The bot can answer product data questions, execute code tasks, and manage follow-ups in-thread, leveraging Post…
PostHog introduced Tracing, a distributed tracing solution integrated with OpenTelemetry (OTLP) that allows users to capture and explore traces without vendor-specific SDKs. Currently in alpha, it act…
PostHog introduced AI Observability features to capture traces, generations, and spans from AI and LLM products. The update includes guides for integrating with OpenAI, Cohere, and Anthropic's Claude …
PostHog’s AI agent discovered a three-year-old bug in their ClickHouse query engine where timestamp filters failed to use the primary key correctly due to a timezone wrapper, causing 62% more granules…
PostHog published a guide for small teams on implementing minimal AI observability, focusing on tracing, cost tracking, and error capture as foundational elements. It advises against over-engineering …
Pricing updated for Posthog: - Free: promotion ended (was: No credit card required) - Free: allowance changed from 1 project, 1-year data retention to 1 project, 1-year data retention, free tier limit…
Pricing updated for Posthog: - Free: new promotion — No credit card required - Free: allowance changed from 1 project, 1-year data retention, free tier limits to 1 project, 1-year data retention - Pay…
PostHog announced plans to train AI models on customer data to power new proactive, self-driving features like session replay analysis and synthetic user testing. The company will default to opt-out f…
PostHog migrated its feature flags local evaluation endpoint from a Django-based deployment (30 pods, 270GB RAM) to Rust, reducing CPU by 24x and memory by 56x while cutting p50 latency from 40ms to 4…
PostHog published a guide advocating for early analytics setup in vibe-coded apps, highlighting product analytics, web analytics, and LLM observability as essential layers. It recommends tools like Po…
PostHog’s product marketing team prioritizes tactical, iterative launches over rigid frameworks, emphasizing clear announcements, conflict-driven storytelling, and user-centric release experiences. Th…
PostHog’s blog outlines six key workflows where Model Context Protocol (MCP) servers streamline startup operations, such as debugging, shipping code, and analyzing user behavior. It recommends specifi…
PostHog's AI agents (MCP) resolved 4,063 errors, suppressed 1,751, and routed 310 issues in customer projects over 30 days without requiring UI access. The update splits triage into three distinct act…
PostHog exists to empower engineers in product decisions by providing integrated tools like analytics, session replays, and feature flags. Their strategy focuses on becoming the single source of truth…
PostHog introduced PostHog Code, a desktop coding agent that integrates PostHog’s product analytics, error tracking, and feature flags into its workflow. The agent supports cloud and local modes, para…
PostHog introduced PostHog Code, a desktop coding agent that integrates with PostHog’s product analytics, error tracking, and feature flags. The agent runs in cloud or local modes, handles persistent …
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