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ReliabilityBench

Free reliability and maintenance engineering calculators for industrial teams

Founders
Founded

Jul 2026

🇰🇷South Korea

Tech Stack

GitHub Pages / Cloudflare / Vanilla JavaScript iconGitHub Pages / Cloudflare / Vanilla JavaScriptFree

User Acquisition Strategy

ReliabilityBench acquires users primarily through organic search and technical content. The site targets specific reliability, maintenance, asset-management, and MRO search needs through 29 free calculators, 9 practical guides, and 5 formula references. Each page is built around a distinct user problem such as MTBF, MTTR, OEE, system reliability, Weibull analysis, downtime cost, maintenance ROI, repair-versus-replace decisions, and spare-parts planning. The main acquisition strategy is: 1. Technical SEO Each calculator and guide has a unique search intent, title, description, canonical URL, structured data, internal links, and supporting technical content. 2. Calculator-led discovery Users can complete calculations immediately without signup. Related tools, guides, and references help them continue through connected maintenance and reliability workflows. 3. Long-tail content The site targets specialized engineering queries that may have lower volume individually but strong professional intent and practical repeat-use value. 4. Directory and launch-platform submissions ReliabilityBench is submitted to relevant startup, engineering-tool, and software directories to gain early visibility, referral traffic, and backlinks. 5. Product-led retention Clear formulas, input definitions, result interpretation, assumptions, and limitations are designed to make the tools useful enough for professionals to revisit and share internally. 6. Future partnerships Potential growth channels include CMMS, EAM, maintenance-software, engineering-education, and industrial-operations partnerships. The current strategy avoids paid advertising. Growth will initially be evaluated through Google Search Console, GA4, referral traffic, indexed-query growth, calculator usage, and repeat visits. Future content and tool expansion will be based on demonstrated search demand and actual user behavior rather than publishing volume alone.

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