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How HyperLogLog Actually Works — Counting Billions of Unique Items in 12KB
A problem so hard even Google relies on Random Chance
Hyperloglog: Facebook's algorithm to count distinct elements
HyperLogLog Hit Counter - Computerphile
HyperLogLog — count millions of unique things in a few KB
Craig Kerstiens: Scalable Uniques in Postgres - HyperLogLog
HyperLogLog Algorithm. How YouTube counting unique views effectively
HyperLogLog From Scratch | Counting Distinct Elements at Scale
Hyperloglog and Cardinality Estimation
Ben Linsay on HyperLogLog [PWL NYC]
Awesome algorithm HyperLogLog [HLL] on Dart - 4K
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Last Updated: September 6, 2026
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Summary
Here are some of the resources used for this video: ** Erratum ** - What Tracking unique users, hashtags, or events at scale is a massive challenge in big data. In this video we try to understand How does Redis count a billion unique users in just twelve kilobytes of memory? It uses Head to brilliant.org/BreakingTaps/ to get a 30-day free trial. The first 200 people will get 20% off their annual subscription. How do huge websites keep track of the traffic numbers? Buck Shlegeris outlines the probabilistic counting A dashboard says "8.2 million unique viewers." It never stored a single viewer id. That is Help me reach 1000 Subscribers - & Bell ➡️ What I'm doing: Software development, RnD, ML & DS, ... Applied AI Course: arpitbhayani.me/applied-ai System Design for SDE-2 and above: arpitbhayani.me/masterclass ... Meetup: bit.ly/2sPHrDU Paper: bit.ly/1QlcaxD Slides: bit.ly/2JMeza6 Audio: bit.ly/2t5EwqL ... Compare different functions to count distinct values in the Big Data list. GitHub repo: github.com/igdmitrov/dart_hyperloglog ...
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