PostHog is an open-source product operating system platform. We provide engineers with everything they need to make sure they are building something that people want. This means - product analytics, video replays, feedback tools, feature flags and experimentation. PostHog can be deployed to the cloud, or self-hosted on existing infrastructure, removing the need to send data externally. PostHog was created as an open source project during Y Combinator's W20 cohort and had the most successful B2B software launch on HackerNews since 2012 - with a product that was just 4 weeks old. Since then, more than 24,000 companies have installed the platform, we're doing $MM in revenue, and have a community of 70K developers - 97% driven by word of mouth. Despite the tech market, we're default alive and doing better than ever! We've been averaging >15% monthly revenue growth, we are [default alive](http://www.paulgraham.com/aord.html), and we didn't raised a huge / now-overpriced round in 2021. While others are focused on layoffs and struggling to grow into huge valuations, we're focusing on an awesome product for end users, hiring (a handful of) exceptional team members and seeing fantastic increases in revenue as a result. Check out posthog.com/careers if you want to be part of this journey.
We applied simply because it’s the best place in the world to start a startup, particularly as we were both Silicon Valley “outsiders”.Looking back, YC has been the single most important thing we’ve ever done in our careers.
Every single week we spend time with other YC founders or partners.The YC community is a critical source of advice, fundraising, friendship, marketing and sales.
We pivoted 5 times, got into YC, pivoted a month into the batch, then shipped PostHog as we got so frustrated re-implementing analytics every single time we pivoted.\It was a wild success on Hacker News and we’ve not looked back.
We help engineers be better at product.\We do this by providing all the tools they need to do this in one - it means no time spent pulling together insight from all over the place (in the way a traditional PM would) and it means no time lost to data engineering. We want you to engineer your product instead.