PostHog

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.

Our mission is to increase the number of successful products in the world.We do this by helping engineers be better at product. They’re some of the brightest and hardest working employees, and so getting them to focus on building something people want instead of shipping tickets set by someone else is really important.\This is how we’ll do that:Provide every tool needed for evaluating feature success. The best use of an engineer's time is to ship features that have an impact on customers. Currently, this requires a large number of tools and product managers to pull all the insights together. By integrating all these tools we can make this easy - no integration needed, no extra vendors, no extra javascript, and workflows to guide engineers through feature development.Get in first. By already being used by our customers, we’re the default for each additional tool they add. It’s the technical co-founder and early engineers building the MVP and integrating the first product tools, not PMs. By focusing on engineers we can be their preferred choice and get in first. Additionally, we can ladder our tools - for example, session recording is used much earlier in the life cycle of the product than others like the CDPs helping us get in earlier than competing products.Be the pipeline for product and customer data. Traditionally, as companies scale their data warehouse becomes the source of truth and non-warehouse native tools (like product analytics) become less relevant. By being their core pipeline from connecting their data to their warehouses we can remain sticky for the life of our customers. And by providing this infra, we ensure the data we have remains comprehensive.##