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Life & fun · March 4, 2015

Fuzzy search in 400B of JavaScript

:crystal_ball: Tiny and blazing-fast fuzzy search in JavaScript - bevacqua/fuzzysearch

Fuzzy search in 400B of JavaScript launched on March 4, 2015 with 25 votes, #1,103 of 2,697 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 11 years on.

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In plain words

Fuzzysearch is a JavaScript library that performs fuzzy search functionality in just 400 bytes of code. It enables developers to implement fast, approximate string matching that finds results even when search terms don't exactly match the target text. The tool is designed for web developers who need to add search capabilities to their applications without adding significant file size overhead.

written from the facts on this page · September 2026

Does a similar job

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  • Frontend Fuzzy Search2024 · github.com · ▲120

    I have spent several years working on search engines in the backend and have now utilized that experience to develop a fuzzy search library for the frontend. It's fast, accurate and can be used for all languages. It should be easy to integrate into your Javascript / Typescript projects. If you test it and find any edge cases that did not work for you please let me know. The implementation is based on 3-grams by the book, augmented with a novel trick of sorting the characters within the 3-grams for enhanced accuracy. For a detailed explanation you may refer to my related blog post at…

  • uFuzzy.js – A tiny, efficient fuzzy search that doesn't suck2022 · github.com · ▲251

    Hello HN! I became frustrated with the unpredictible/poor match quality and opaqueness of "relevance scores" in existing fuzzy and fulltext search libs, so I tried something different and this is the result. The main selling point is the result quality / ordering, with best-in-class memory overhead and excellent performance being bonuses. The API is pretty stable at this point, but looking for feedback before committing to 1.0. TL;DR The test corpus is a 4MB json file with 162k words/phrases, so give it a second for initial download. You can also drag/drop your own…

  • A fast, hopefully accurate, fuzzy matching library written in Go2018 · github.com · ▲186

    Go library that provides fuzzy string matching optimized for filenames and code symbols in the style of Sublime Text, VSCode, IntelliJ IDEA et al. - sahilm/fuzzy

  • SP
    Searchbase – Plug-n-play semantic/fuzzy search for your data2024 · searchbase.dev · ▲63

    Step into the future with Searchbase Cloud's AI-enhanced search capabilities. Effortless to integrate, intuitive to use, and built for insightful discoveries. Transform your data into action with the smartest search on the market. Join the revolution.

  • instantsearch.js by Algolia2015 · community.algolia.com · ▲332

    JavaScript UI library for building great search experiences

  • Scalable reverse image search built on Kubernetes and Elasticsearch2016 · github.com · ▲139

    :crystal_ball: Scalable reverse image search built on Kubernetes and Elasticsearch - dsys/match

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