Training Example: PostHog – Review the Data, Give Your Score & Compare to the Real AI Evaluation

[H1]
[H1] The new way to build products
Product development used to mean manually writing code, running analysis, diagnosing bugs, and rolling out changes using dozens of tools.PostHog is the only platform that acts like a co-pilot for you (and your AI agents) to do it all – autonomously.Get started - freeInstall with AI
[H3] Install with AI in a single prompt
Paste into your terminal or code editor and make AI do the work.npx @posthog/wizardLearn moreMCP•Watch a demo•Talk to a humanUnderstand product usageOne place for product dataDebug & fix issuesTest & roll out changes
[H2] Understand what users are doing
Measure engagement, track conversion, and understand usage patterns — whether it's by person, company, or AI feature.How we analyze data and build products has changed a lot. Work smarter with PostHog AI to get direct answers to questions about your data.Web AnalyticsProduct AnalyticsRevenue AnalyticsSession ReplayFunnelsHeatmapsGraphs & trendsLifecycleUser PathsEvalsTracesGenerationsWeb AnalyticsProduct AnalyticsRevenue AnalyticsSession ReplayFunnelsHeatmapsGraphs & trendsLifecycleUser PathsEvalsTracesGenerationsWeb AnalyticsProduct AnalyticsRevenue AnalyticsSession ReplayFunnelsHeatmapsGraphs & trendsLifecycleUser PathsEvalsTracesGenerationsWeb AnalyticsProduct AnalyticsRevenue AnalyticsSession ReplayFunnelsHeatmapsGraphs & trendsLifecycleUser PathsEvalsTracesGenerations
[H2] Who's using PostHog?
Here are some of our paying customers. (Yes they actually use us, no it's not just some random engineer who tried us out 2+ years ago.) Shuffle companiesVCs love themProduct engineers love themOpen customers.mdx
[H2] PostHog data stack, built for data teams and loved by product teams
Built-in, Product OS ships with:A data warehouse 120+ sources/destinationsSQL editor + BI + data vizUser activity feed (CDP-lite)API, webhooksWhen you're analyzing how customers use your product, you should be operating from the full set of data.This includes customer information that happens outside your product:payments from Stripeexceptions in an error tracking tooltickets in your support platformHaving all the data in one place means you can make more informed decisions about what to build next.PostHog's Product OS isn't just analytics – it's the entire suite of tools built to give you a single source of truth about your customers.README: PostHog data stack.md
[H2] Usage-based pricing
Our whole philosophy is that you shouldn't have to worry about pricing.All our paid products are pay-per-use with generous monthly free tiers. In fact, 98% of our customers use PostHog for free.We aim to match the cheapest option at scale – PostHog should be a no-brainer. You never have to "jump on a quick call" with sales.Here are some examples of how we charge for most popular products:1.Product AnalyticsFree tier: 1 million events/moPricing: $0.00005/event2.Session ReplayFree tier: 5,000 recordings/moPricing: $0.005/recording3.Feature FlagsFree tier: 1 million requests/moPricing: $0.0001/request4.Managed warehouseFree tier: 1 million rows/moPricing: $0.000015/rowProductFree tierPricing (decreases with volume)1Product Analytics1 million events/mo$0.00005/event2Session Replay5,000 recordings/mo$0.005/recording3Feature Flags1 million requests/mo$0.0001/request4Managed warehouse1 million rows/mo$0.000015/rowExplore pricing
[H2] PostHog AI
PostHog AI works across PostHog – and it's way more than just generating insights.PostHog AI helps you automate monotonous tasks of gathering context and summarizing information, and can even create multi-variate experiments and feature flags – all with natural language. And soon, it'll have the ability to make code changes to fix bugs and create pull requests.Learn about PostHog AI
[H2] Why PostHog?
We're different from most companies for a bunch of reasons:Transparency. You can read our company handbook, our sales manual, and company strategy.We ship fast. See our changelog.Actually-technical support. Our support folks all have engineering backgrounds.Read more about us
[H2] Bedtime reading
Still here? We've got some links that may be mildly interesting to you:demo.movTechnical docsAPIAsk a questionSmall teams at PostHog
[H2] Shameless CTA
If nothing else has sold you on PostHog, hopefully these classic marketing tactics will.Eco-friendlyPostHog CloudDigital download*
[IMG: PostHog Cloud]
[IMG: People on G2 think we]
Notendorsed by Kim K*PostHog is a web product and cannot be installed by CD.We did once send some customers a floppy disk but it was a Rickroll.Eco-friendlyPostHog CloudDigital download*Select your cloudUS (Virginia)EU (Frankfurt)Starts at:$0Free>1 left at this price!!Get startedHurry: Tons of companies signed up today. Act now and get $0 off your first order.

Get started – freeOverviewCustomersFeaturesTracesCost analysisPerformance monitoringNative integrationsHow PostHog uses PostHogPostHog vs... (the tl;dr)Feature comparisonProduct OS BenefitsDocsPricingGet startedPresenter notes: Track conversations, model performance, spans, costs, latency, and traces in LLM applications – all as regular PostHog events - roughly 10x cheaper than other LLM observability tools.

Get started – freeOverviewCustomersFeaturesAIHow PostHog uses PostHogAnswersPricingPostHog vs... (the tl;dr)Feature comparisonDocsPairs with...Integrated data warehouseGet startedPresenter notes: Product analytics tells you what's happening in your product. PostHog is different than others because every product we build is natively integrated. This means you can jump from a graph to a session recording to visually see why something happened. Plus we use autocapture, which tracks every click and pageview automatically. No more realizing you forgot to track something important – you can define events retroactively (we call these 'actions').

Get started – freeOverviewCustomersFeaturesAIHow PostHog uses PostHogAnswersPricingPostHog vs... (the tl;dr)Feature comparisonDocsPairs with...Get startedPresenter notes: Session Replay lets you see exactly how users interact with your app. You're watching their real session – what they clicked, where they got stuck, what broke. This isn't just for debugging; it's for building empathy. You can see what's intuitive and what isn't, and how it feels to actually use your product. It's often the fastest way to uncover small issues that analytics alone won't catch. Everything is captured automatically—no manual tagging needed.