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Based on our record, Amplitude should be more popular than Ahoy Ruby Gem. It has been mentiond 38 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.
Amplitude.com — 1 million monthly events, up to 2 apps. - Source: dev.to / 3 months ago
* [Amplitude](https://amplitude.com/) Would like to know what you use for your startup and what you like/dislike in these tools today. - Source: Hacker News / 10 months ago
Context | London, UK | Full-time | Onsite | https://getcontext.ai | B2B SaaS We’re building the analytics stack for generative AI text interfaces: think [Amplitude](https://amplitude.com/) for ChatGPT. Thousands of businesses are building new products and features using LLMs, and they need a new analytics stack to help them understand user behaviour and build great product experiences. Check out our product demo... - Source: Hacker News / 10 months ago
I think you might have the term of art wrong - it sounds like you're looking for a charting library, rather than an analytics tool? (most folks assume analytics in the sense of product analytics, like https://plausible.io/ or https://amplitude.com/). - Source: Hacker News / 10 months ago
But how can you be sure you’re making the right changes? It’s impossible to read your clients’ minds, but A/B testing might just be the next best thing. In this article, I’ll guide you through conducting an A/B test on an Android (Kotlin) application using ConfigCat’s feature flag management system and Amplitude. - Source: dev.to / 11 months ago
A full-featured, mountable analytics dashboard for your Rails app, which is a blatant rip-off of heavily inspired by Plausible Analytics, powered by Ahoy. Open source, though lots of changing parts: https://github.com/joshmn/ahoy_captain. Source: 9 months ago
For logging which functions were used you can use ahoy. Source: about 1 year ago
I've slowly started ripping Google Analytics out of my Rails projects and replacing it with https://github.com/ankane/ahoy. It's so much better! I can just use SQL to see what's going in and not get overwhelmed with 100's of visualizations and complicated dashboards. - Source: Hacker News / almost 2 years ago
I'm using the ahoy gem for analytics on my website (https://github.com/ankane/ahoy). Source: about 2 years ago
I did server-side tracking test in a rails app, where I implemented a tracking gem called ahoy and blazer for visualization. It is very easy to set up, but a bit hard to use. Blazer can do a very basic visualization of the data if you know your SQL queries. - Source: dev.to / over 2 years ago
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