Top all-time · #8110
Sift
Company blog · engineering.siftscience.com/engineeringprogrammingdata
Sift is the company blog at engineering.siftscience.com, writing about programming and data. Since 2016, 9 different Hacker News readers have linked it 20 times, most often “Case Study: Our JavaScript Loading Strategy”. It is still writing: the last post was on 2026-10-30, and you can follow it by feed.
Too few sampled comments (2) to say how often HN recommends it.?
Why HN links it
Engineering posts from Sift, including a CSS animation technique (First, Last, Invert, Play) using transforms. HN readers also see Sift's job listing in the hiring thread.
Summarised by Claude from a sample of 2 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
Explore how Sift's engineering team builds and scales machine learning, data infrastructure, and fraud detection systems at scale.
Most-linked posts?
- Case Study: Our JavaScript Loading Strategy2 people · 2 mentions · first linked 2018-05-24
What Hacker News says?
Sift Science | San Francisco, CA | Join the fraud fighting team! https://siftscience.com/ | Onsite We are a hyper-growth Series C company based in San Francisco. We’re in the business of squashing fraud and other malicious activity for the world’s largest web and mobile businesses. Our next-generation platform is built on proprietary machine learning technology that learns in real time from live activity taking plac…
Comment linking /
on “Ask HN: Who is hiring? (April 2017)”Submitted First, Last, Invert, and Play: a technique for animations using CSS transforms as a story · 64 points
HN discussionProbably a simple editing mistake, but (at the time of this post) the Before and After timelines are identical. Both images point to the same URL: https://engineering.siftscience.com/wp-content/uploads/2016/...
Comment linking /wp-content/uploads/2016/09/post-slidable-update-prod-1.jpg
on “First, Last, Invert, and Play: a technique for animations using CSS transforms”Submitted Improving Perceived Performance by Prefetching Critical SPA Resources as a story · 16 points
HN discussionSubmitted How Sift Science Trains Thousands of Models Using Apache Airflow as a story · 14 points
HN discussionSubmitted Case Study: Our JavaScript Loading Strategy as a story · 9 points
HN discussionSubmitted ML Experiments at Sift Science, Part 1: Minimizing Bias as a story · 8 points
HN discussionSubmitted FLIPping your React Accordions to get 60fps as a story · 7 points
HN discussionSubmitted Deep Learning for Fraud Detection as a story · 6 points
HN discussionSubmitted Preloading Your JavaScript Code Chunks as a story · 6 points
HN discussionSubmitted Lightening the load of a JS-heavy webapp as a story · 5 points
HN discussionSubmitted ML Experiments at Sift Science, pt. 3: Building the right tools as a story · 5 points
HN discussionSubmitted Testing and Deploying Sift's JavaScript SDK as a story · 4 points
HN discussionSubmitted Reliable Workflow Processing Using Kafka and HBase as a story · 4 points
HN discussionSubmitted Preloading Your JavaScript Code Chunks as a story · 2 points
HN discussionSubmitted Models in Disguise: How Sift Science Ships Non-Disruptive Model Changes as a story · 2 points
HN discussionSubmitted ML Experiments at Sift Science, Pt. 2: Analyzing Thousands of Models as a story · 2 points
HN discussionSubmitted Effective Design Reviews at Sift Science as a story · 1 points
HN discussionSubmitted Does Your Model Launch Have a SafetyNet? as a story · 1 points
HN discussionSubmitted Improving Perceived SPA Performance by Prefetching Critical Resources as a story · 1 points
HN discussion
