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RSRitik Singhritik-singh-rajput.hashnode.devMay 3 · 12 min read

The Art of the "Maybe": Scaling Systems with Bloom Filters

Introduction Data structures such as HashSet are quite useful when working with small datasets, especially for checking whether a particular item exists in the set. However, as the size of the dataset

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AAAbstract Algorithmsabstractalgorithms.devMay 3 · 19 min read

Bloom Filters Explained: Membership Testing with Zero False Negatives

TLDR: A Bloom filter is a bit array of m bits + k independent hash functions that sets k bits on insert and checks those same k bits on lookup. If any checked bit is 0, the element is definitely not i

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AGAbhijit Gadhaveabhigadhave97.hashnode.devMay 1 · 4 min read

The Magic of Bloom Filters

Have you ever tried creating an account on Instagram, Twitter, or Gmail? You type a username like: Abhijit8 …and instantly you get: “Username already taken.” What’s interesting is not the message. I

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AAAbstract Algorithmsabstractalgorithms.devApr 5 · 14 min read

Probabilistic Data Structures: A Practical Guide to Bloom Filters, HyperLogLog, and Count-Min Sketch

TLDR: Probabilistic data structures trade a small, bounded probability of being wrong for orders-of-magnitude better memory efficiency and O(1) speed. Bloom Filters answer "definitely not in this set"

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AAAbstract Algorithmsabstractalgorithms.devMar 9 · 13 min read

How Bloom Filters Work: The Probabilistic Set

TLDR TLDR: A Bloom Filter is a bit array + multiple hash functions that answers "Is X in the set?" in \(O(1)\) constant space. It can return false positives (say "yes" when the answer is "no") but ne

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ADAbdelrahman Dwedarabdelrahmandwedar.hashnode.devJan 27 · 9 min read

Bloom Filters Applied In Real-Life Application - Laravel Prototype

The Problem When we have something frequent and at the same time intensive it's just one of the biggest challenges we might face. A good example of that is something like uniqueness validation; we need to add a new email to the database but to do tha...

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MSMuhammad Safdarbehindthedeploy.hashnode.devOct 31, 2025 · 2 min read

You should read this if you are manually checking last seens through list - ft. Bloom Filters

Yup, it came from hours of frustration. I was working on a Scrapy spider that could scrape thousands of products a day, but it was only getting around 90. Websites often update their anti-bot systems, and when they do, a lot of our pipelines break. M...

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HHHarshna Haswaniblog.harshnahaswani.comOct 14, 2025 · 3 min read

How to Filter 1 Billion Requests Without Crashing Your Database

https://tenor.com/view/scam-alert-scam-phishing-hack-fraud-gif-62215083004720289 GIF credits: Tenor Imagine you are building a URL spam filter for a service like Gmail. You have a list of 100 million malicious URLs, and you need to check every sing...

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JDJeetjyoti Dekajeet-blogs.hashnode.devOct 5, 2025 · 6 min read

Bloom Filter

Is this your first time hearing about “Bloom Filter“ ? Then you have reached the best place. I was in the same place when I read BLOOM FILTER for the first time in a youtube thumbnail. This mysterious name got me curious as the name does not give any...

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VTVineet Tiwariiamvineettiwari.hashnode.devSep 21, 2025 · 5 min read

Understanding Bloom Filter

What is Bloom Filter? Bloom filter is a space-efficient, probabilistic data structure used for testing whether an element is a member of a set. It can quickly tell us if an item might be in the set or definitely is not. The key point is that it never...

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#bloom-filter

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Trending tags this week

The Art of the "Maybe": Scaling Systems with Bloom Filters

Bloom Filters Explained: Membership Testing with Zero False Negatives

The Magic of Bloom Filters

Probabilistic Data Structures: A Practical Guide to Bloom Filters, HyperLogLog, and Count-Min Sketch

How Bloom Filters Work: The Probabilistic Set

Bloom Filters Applied In Real-Life Application - Laravel Prototype

You should read this if you are manually checking last seens through list - ft. Bloom Filters

How to Filter 1 Billion Requests Without Crashing Your Database

Bloom Filter

Understanding Bloom Filter