fuzzymind

I would add to the list:

Volument - A new take on website analytics

volument.com

Author here: the title might seem like a clickbait, but we've seen it's accurate. Another option is "harmful". Correct answer is that it depends depending on how the testing tool is used:

1. If used correctly -> "harmful" (months of waiting without touching the site)

2. If not (like in most cases) -> "bullshit" (results are random)

Currently yes. Webhooks and S3-compliant data export is on our roadmap: https://volument.com/roadmap/

You must setup conversions manually. Here are the instructions:

https://volument.com/learn/setting-up#conversions

The major difference between traditional A/B testing and Volument is that the comparisons are based on _cohort analysis_. It takes two groups of visitors and places them side-by-side starting from the very first visit: how they gradually build awareness and interest (metrics from the first visit) before taking action (on the first visit or on later visits). Then you take a cutoff day (say Day 7) and compare what has happened (how much retention, conversions, sales, virality) before that day. The whole "traction" so to speak.

This seems like a complex way of saying that Go is too simple for your taste.

I wouldn't be surprised to see a test runner with the same features done in 1000–5000 lines.

Hey HN. Here's how we replaced most of our SAAS services with a minimalistic alternative. A prime example of NIH syndrome taking over :) Thanks!