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Life & fun · July 13, 2025

BloomSearch – Keyword search with hierarchical Bloom filters

Hey HN! I got nerd-sniped by Bloom Filters this weekend, specifically for searching datasets with high "cardinality" (number of unique items). They're an _amazing_ data structure that, at a fixed size, tracks potential set membership. That means unlike normal b-tree indexes, they don't grow with the number of unique items in the dataset. This makes them great for "needle in a haystack" search (logs, document) as implementations like VictoriaMetrics and Bing's BitFunnel show. I've used them in the past, but they've never been center-stage in my projects. I wanted high cardinality keyword…

BloomSearch – Keyword search with hierarchical Bloom filters launched on July 13, 2025 with 66 votes, #531 of 9,223 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.

Visit github.com ↗Alternativestop 6% of July 2025

In plain words

BloomSearch is a Go package that enables memory-efficient keyword search for high-cardinality datasets using hierarchical Bloom filters. It uses a fixed-size data structure that tracks set membership without growing with the number of unique items, making it suitable for searching large logs and documents. The tool offers extensible DataStore and MetaStore interfaces for flexible backend integration and implements hierarchical pruning to optimize search performance across datasets with millions of unique values.

written from the facts on this page · September 2026

From the sources

Keyword search engine with hierarchical bloom filters for massive datasets - danthegoodman1/bloomsearch

In the maker’s words, at launch

Hey HN! I got nerd-sniped by Bloom Filters this weekend, specifically for searching datasets with high "cardinality" (number of unique items). They're an _amazing_ data structure that, at a fixed size, tracks potential set membership. That means unlike normal b-tree indexes, they don't grow with the number of unique…

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