Product analytics with session replay, feature flags, A/B tests and surveys in one open-source platform.
Works with AI agents:llms.txtMCPCLIBuilt into Lovable33 tools, from its own code, website and Product Hunt page.
321 makers' products, each linked to the source that shows it, and 177 open-source projects that declare it in their code.
LangfuseOpen-source LLM engineering platform for tracing, evaluation, prompt management and expe…“We use Posthog for everything: website analytics, self-hosted anonymous telemetry, high-level backend metrics, and user feedback collection. The support is also amazing. We cannot recommend it highly enough.”
Product AnalyticsMaker says so +2 · source ↗
BetterClawDeploy AI Agent, 60 seconds & $0 forever“I prefer it for analytics, have been using it for 3 years now.”
Product AnalyticsMaker says so +2 · source ↗
FormbricksOpen-source survey and experience-management platform for in-app, website and link-based…Product AnalyticsIn its code +2 · source ↗
giselleGiselle is an open-source tool for building and running AI workflows in a visual node ed…“PostHog gives us deep insights into how users interact with our AI workflow editor. Understanding user journeys through complex visual workflows — where they click, what features they use, where they get stuck — helps us continuously improve the experience. The self-hostable, open-source nature aligns perfectly with our values. Thank you for building such a powerful and privacy-conscious analytics platform!”
Product AnalyticsMaker says so +1 · source ↗
HeliconeLLM observability platform and gateway that logs, monitors and helps debug requests acro…“PostHog’s analytics have been incredibly powerful in helping us discover what resonates most with our users. Can’t imagine a day without PostHog.”
Product AnalyticsMaker says so +1 · source ↗
supersetDesktop IDE for running several coding agents in parallel, each in an isolated workspace…“We use PostHog for mobile analytics and feature flags. We used it to roll out Superset Mobile and track how people use the app.”
Product AnalyticsMaker says so +1 · source ↗
SlashyAI email client that triages the inbox and drafts replies in your voice, connected to ca…“We chose PostHog because analytics, funnels, and feature flags work together on the same product data. It helps us understand how people actually use Slashy and where the experience needs improvement.”
Product AnalyticsMaker says so +1 · source ↗
UnInboxOpen-source email client for teams and professionals with a chat-style interface and bui…“Help us gather usage information and identify frustrations or needs sooner”
Product AnalyticsMaker says so +1 · source ↗“Listed in their tool stack on Starter Story”
Product AnalyticsMaker says so +1 · source ↗
KonfideAI Agents with a human expert for hire“Analytics and event tracking across Konfide. GDPR compliant, works perfectly with cookie consent. Replaced three tools in one.”
Product AnalyticsMaker says so +1 · source ↗
ReferentLegal AI Agents Platform for Lawyers and Law Firms“We use it to track signup, paid conversion, and firm-level AI usage in one dashboard.”
Product AnalyticsMaker says so +1 · source ↗
BeforeSunset AIPlanner that combines tasks, notes and calendar and uses AI to build a daily schedule, o…“PostHog provides valuable insights that drive our marketing strategies. Its detailed analytics help us understand campaign and product performance, making it indispensable for data-driven decisions.”
Product AnalyticsMaker says so +1 · source ↗
SourclipThe research workspace built around Gemini Notebook.“We chose PostHog because it gives us a really good view of how people actually use Sourclip without needing to piece together several different tools. It’s been especially useful as we’ve grown from the first version of Sourclip to 2.0.”
Product AnalyticsMaker says so +1 · source ↗“We chose PostHog for its startup credits and built-in analytics, session replays, and feature flags, which help us clearly understand user concerns and problems.”
Product AnalyticsMaker says so +1 · source ↗“PostHog makes it dead simple to add analytics, experimentation, and feature flags to our apps. We also really appreciate their open-source nature and culture of being truly developer-first and community driven.”
Product AnalyticsMaker says so +1 · source ↗
inbox-zeroOpen-source AI email assistant that triages, labels and drafts replies to help clear you…Product AnalyticsIn its code +1 · source ↗
papermarkOpen-source document sharing and virtual data room with viewer analytics and custom doma…Product AnalyticsIn its code +1 · source ↗
Cal.comOpen-source scheduling platform: a Calendly alternative you can self-host or use hosted,…Product AnalyticsIn its code +1 · source ↗
Trigger.devPlatform for building and running durable background jobs and AI agent workflows in Type…Product AnalyticsIn its code +1 · source ↗Open source: a project that declares PostHog as a dependency in its public code — verifiable, but not necessarily a live product.
179 makers on why they use PostHog, in their own words on Product Hunt.
PostHog has been absolutely instrumental in the development and refinement of Acedit. As an open-source product OS, it provides us with deep insights into how job seekers are actually using our AI interview coach. Understanding user journeys through its powerful analytics and session replay tools allows us to pinpoint exactly where users get the most value – whether it's prepping with tailored Q&A, practicing in mock interviews, or getting live suggestions – and identify areas where we can make the experience even smoother and more effective. Furthermore, PostHog's feature flags and experimentation capabilities are crucial for us. They enable our team to safely test and roll out new enhancements, like improvements to our real-time suggestion algorithms or UI adjustments, ensuring we continuously iterate based on real data, not just guesswork. This helps us build a more robust and user-centric tool, ultimately helping more people feel confident and prepared to ace their interviews. We genuinely couldn't build Acedit as effectively without the clarity PostHog provides.
AceditSep 2026 ↗PostHog replaced three separate tools for us. Product analytics, session recordings and feature flags live in the same place, on the same event data, so there is no more stitching dashboards together to answer one question. Setup was painless — the SDK is genuinely developer-friendly and we had useful data coming in almost immediately. The combination I use most is funnels plus session recordings: instead of guessing why users drop off at a step, I just watch the sessions behind that step. Feature flags on top of that make it easy to ship something behind a flag and see the impact without leaving the tool.
PostHog does everything in one place - analytics, session recordings, feature flags, and funnels - without stitching together separate tools. For Cloud World Model, that meant tracking the full conversion journey from landing page click to first simulation run to paid upgrade, all in a single saved funnel. We also use it for weekly automated checks that fire PostHog events when pricing or accuracy data drifts - so the dashboard doubles as an operational health monitor, not just a growth tool. Being open-source and self-hostable made it an easy default for a developer-focused product.
Cloud World ModelSep 2026 ↗PostHog does everything in one place - analytics, session recordings, feature flags, and funnels - without stitching together separate tools. For Cloud World Model, that meant tracking the full conversion journey from landing page click to first simulation run to paid upgrade, all in a single saved funnel. We also use it for weekly automated checks that fire PostHog events when pricing or accuracy data drifts - so the dashboard doubles as an operational health monitor, not just a growth tool. Being open-source and self-hostable made it an easy default for a developer-focused product.
Cloud World ModelJun 2026 ↗Mixpanel and Amplitude are stronger on classic product analytics, but as a solo founder I needed analytics, session recordings and funnels in one place instead of wiring three tools together. Plausible was too light for what I needed, which was following one specific journey: landing page, first sandbox run, MCP install. PostHog is also self-hostable and developer-first, which fit a product built for developers.
FetchSandboxSep 2026 ↗Themes that recur in makers' words and Hacker News comments, each linked to what it summarises, with how Product Hunt tags its reviews.
Yes — there is a free tier a small product can run on; paid use starts at Pay as you go. source ↗
Open source, and you can self-host it. source ↗
It serves an llms.txt docs index; it has an official MCP server (io.github.PostHog/mcp); it has an official CLI (posthog-react-native); Lovable set it up natively.
321 makers' products we track, each with a source, and 177 open-source projects declare it in their code. source ↗
Amazon DynamoDB
Amazon S3
Amazon SES
Amazon Web Services
Amplitude
Braintrust
Celery
Claude
Claude Agent SDK
ClickHouse
Cloudinary
Django
Drizzle ORM
DuckDB
Express
Gemini API
Hono
LangChain
LangGraph
Mistral AI
MongoDB
MySQL
Nodemailer
OpenAI API
PostgreSQL
Postmark
React
SeaweedFS
sharp
SQLite
Stripe
Temporal
Vercel
Sentry
Rollbar
GlitchTip
Mixpanel
Plausible Analytics
Umami