Top all-time · #10156
Eppo is now Datadog Experiments
Company blog · geteppo.com/blogprogrammingdata
Eppo is now Datadog Experiments is the company blog at geteppo.com, writing about programming and data. Since 2022, 8 different Hacker News readers have linked it 9 times. No feed was found, so read it on the site itself.
Too few sampled comments (5) to say how often HN recommends it.?
Why HN links it
Linked for Eppo job listings, a comparison question against GrowthBook and Optimizely, and the announcement of the Datadog acquisition. One thread cites its post on statistical significance with low traffic.
Summarised by Claude from a sample of 5 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
Datadog Experiments runs trustworthy, data warehouse-native A/B tests. World-class statistical rigor, feature management, and experiment reports - all in one tool.
What Hacker News says?
Eppo | Remoto or Onsite SF USA | https://geteppo.com At Eppo we’re building a next generation experimentation platform built on top of the modern data stack to enable an entrepreneurial culture. This was inspired by our experience building this same infrastructure at Airbnb, Stitchfix, and Webflow. We’re currently hiring for: - Full stack engineer - Data engineer - Statistics engineer “A statistician who can write p…
Comment linking /careers
on “Ask HN: Who is hiring? (April 2022)”Submitted We Replaced Airflow in Our Experimentation Platform as a story · 2 points
HN discussionHow is this different than Eppo [1] or Optimizely? [1] https://www.geteppo.com
Comment linking /
on “Launch HN: GrowthBook (YC W22) – Open-source feature flagging and A/B testing”Submitted What's Wrong with Feature Flags? as a story · 2 points
HN discussionEppo | Backend Engineer | Remote (SFO hybrid option) | Full-Time - Eppo is building an experimentation platform for the modern data stack Our goal is nothing short of changing how companies work by making experimentation available to everyone. This means we solve some really hard problems like: 1. Performing statistical analysis on very large data sets (belonging to some of the most recognizable companies in the wor…
Comment linking /careers?ashby_jid=2c10b227-c4c2-41e1-93b0-22ad1b654fb5
on “Ask HN: Who is hiring? (April 2023)”Submitted Building a custom DAG orchestration system for experimentation as a story · 1 points
HN discussionAnnouncement from Eppo[1] [1] https://www.geteppo.com/blog/eppo-is-now-part-of-datadog
Comment linking /blog/eppo-is-now-part-of-datadog
on “Why Datadog bought Eppo for $220M, and what it means for experimentation”[Author here] Heh - yes but don't, though... Yes: you could use bayesian priors and a custom model to give yourself more confidence from less data. But... Don't: for most businesses that are so early they can't get enough users to hit stat-sig, you're likely to be better off leveraging your engineering efforts towards making the product better instead of building custom statistical models. This is nerd-sniping-adjac…
Comment linking /features/cuped
on “Getting to Statistical Significance on a Shoestring Traffic Budget”