For developers just starting out, PostHog is a free way to understand how your product is being used, without having to send any data to 3rd parties.
For enterprise customers, one data security becomes a key concern, or B2C businesses where using a SaaS solution is unaffordable, it's typical to see teams hosting an event capture platform, a data lake, and sophisticated analytics tools. The end result is that data scientists are needed and most developers don't have easy access to product intel. PostHog solves that gap - it lets everyone understand how your product is being used, without having to send data to 3rd parties, even once you have scaled to millions of visitors.
It has a JS snippet that can autocapture events, and pre-built libraries to push backend data to. Build up full user histories, visualize product trends, funnels, and run experiments with new features.
PostHog is particularly well-suited for product teams, developers, and startups that require deep insights into user interactions and need the flexibility of a self-hosted solution. It is also a good fit for organizations that prioritize data privacy and want to maintain full control over their data.
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Based on our record, PostHog should be more popular than Lambda Face Recognition API. It has been mentiond 62 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
How does this compare to https://lambdalabs.com/. - Source: Hacker News / about 2 years ago
Another option is to pay for AWS server with a beefy GPU and enough RAM. It's not too cheap, but isn't expensive either if you aren't planning to run it 24/7. Or get a GPU cluster from a company that offers stuff for ML specifically, it might be easier to set up compared to AWS and in some cases cheaper. Like, for example, lambdalabs that offers H100 gpu for 2 bucks per hour. Source: over 2 years ago
I used some of the cloud GPUs on Vast.ai, but I also tried Lambda Labs, and these days I have my own docker container setup which can be deployed to a VM on Google Cloud and used more programatically. Source: over 2 years ago
Lambda | Full-Time | Software Engineers | Remote US & Canada | https://lambdalabs.com/ We are looking for talented software engineers to join our team. We're currently hiring for multiple engineering positions and more. Lambda is a fast growing startup providing deep learning hardware, software, and cloud services to the world's leading companies and research institutions. Lambdaโs mission is to create a world... - Source: Hacker News / over 2 years ago
LambdaLabs has been good to me so far. Cheap pricing, easy spin up, and no bullshit about applying to use a GPU. Source: over 2 years ago
Yesterday, we hosted an MCP Builder Breakfast with PostHog at our office โ a space where developers can connect and exchange ideas on the latest trends in MCP development. - Source: dev.to / 8 days ago
This is why I've been so impressed with PostHog. Itโs a platform built for product engineers that combines analytics, feature flags, and session replay into a single, cohesive solution. For a Django developer, this means you can spend less time integrating tools and more time building what matters, backed by real data. - Source: dev.to / 23 days ago
PostHog analytics you can self-host (great for privacy). - Source: dev.to / about 1 month ago
For monitoring, there are separate full-fledged monitoring solutions like Opik, PostHog, Langfuse or OpenLLMetry, maybe will try some next time. - Source: dev.to / 4 months ago
I'm unable to see their website https://posthog.com Is it just me? - Source: Hacker News / 7 months ago
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