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Dev tools · October 26, 2020

Relevance

No code interface to customize search rankings

Relevance launched on October 26, 2020 with 118 votes, #348 of 4,018 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 5 years on.

Visit relevanceai.com ↗Relevance alternativestop 9% of October 2020

What it does

Relevance is a hosted site search service, with a user interface for building custom ranking algorithms. Users can A/B test new versions of ranking rules and analyze the results, without needing to code.

Deliver maximum ROI through optimized specialist agents. Build agents for sales, customer success, marketing and HR, and run millions of daily tasks on one platform.

Deliver maximum ROI through optimized, enterprise-ready agents. Built and customized by your team. An embedded deployment team gets you live, then trains your team to build without us. All on top of Relevance's enterprise-grade platform. We work with you to map your workflows and find the use cases worth handing to agents first. We work with you to map your workflows and find the use cases worth handing to agents first. Our embedded deployment team builds your first team of highly customized agents with you. Our embedded deployment team builds your first team of highly customized agents with you. We train your team to scope, prioritize, and build high-impact use cases without waiting on us.…from relevanceai.com

Does a similar job

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  • Keyword GridNov 2025 · keywordgrid.com · ▲22

    Rank higher in search results & AI answers

  • Ask by Relevance AI2023 · relevanceai.com · ▲98

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  • Topical Relevance2023 · topicalrelevance.com · ▲4

    A tool to help optimize webpages for topical relevance.

  • Intelligent Search2023 · chromewebstore.google.com · ▲70

    Optimize your Google searches - faster and better results

  • ExactScience2023 · exactscience.io · ▲78

    An AI-driven rank tracker for scalable content relevance

  • ST
    SearchArray – Text Search in Pandas2023 · ▲5

    I've long worked with lexical Lucene based search engines like Solr and Elasticsearch. Anytime I need to experiment with relevance ranking in these systems, I'm exhausted by needing to set them up. It's not conducive to productivity work with something so disjoint from normal data tooling. Further - the underlying ranking is buried in needless mystique (you know a boolean should query, sums the scores, right?). You shouldn't need to read a book (like Relevant Search ;) ) to unpack mystique that's really basic math. Why not just let people build ranking systems with vectorized math in a…

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