Detect errors in JavaScript code
JSHint (jshint.com) scores 63 out of 100 on Brand Analyzer, placing it in the Developing tier among SaaS brands, Technology brands, in the 10th percentile of 27506 SaaS brands.
JSHint is a community-driven, open-source JavaScript code quality tool that performs static code analysis to detect errors and potential problems in JavaScript code. Unlike rigid style-enforcing linters, it offers flexible, configurable rules, allowing developers to tailor checks to their own coding conventions. It is aimed at JavaScript developers and development teams who want to catch bugs early and maintain consistent code quality without being locked into a single prescribed coding style.
| Brand Name | JSHint |
|---|---|
| Domain | jshint.com |
| Industry | SaaS, Technology |
| Main Competitors | ESLint (91/100), JSLint (67/100), Prettier (73/100), StandardJS (65/100), TSLint, SonarQube (90/100) |
Moz Domain Authority 56/100 vs category average 37 / leader 99 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #180,352 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "JSHint, a JavaScript Code Quality Tool" (Meta description: 6 words. No OG description (falling back to meta)) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: No structured data or Open Graph tags detected. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: No robots.txt found (default: all bots allowed, but explicit file preferred) - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Social footprint: verified profiles on GitHub, X (Twitter), Facebook, Instagram; no detected presence on LinkedIn, YouTube - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked September 2026.
When asked "What is JSHint?", Claude could identify the brand as of September 2026. JSHint is a free, open-source JavaScript linting tool that analyzes code for potential errors, style inconsistencies, and syntax issues without enforcing a strict coding style. It was created as a more configurable fork of JSLint by Anton Kovalyov back in 2011. Best known for Being a flexible, community-driven JavaScript code quality and linting tool.
When asked "Best brands similar to JSHint?", Claude would recommend JSHint as of September 2026. It's a well-known name in JS tooling history, though many developers have since moved to ESLint for its greater extensibility and plugin ecosystem.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
JSHint's main competitors in SaaS: ESLint (91/100), JSLint (67/100), Prettier (73/100), StandardJS (65/100), SonarQube (90/100).
Sources: Brand Analyzer scan
JSHint offers a single core product: a JavaScript static code analysis tool, commonly referred to as a linter. This tool scans JavaScript source code to detect syntax errors, potential bugs, and code quality issues, and allows configuration of rules so teams can enforce their own coding standards. It is provided as an open-source, community-maintained tool rather than a suite of multiple products.
Sources: JSHint official site
JSHint is a community-driven, open-source JavaScript code quality tool. It performs static code analysis on JavaScript source code to identify syntax errors, potential bugs, and code that does not conform to specified conventions. It is designed to be flexible and configurable rather than enforcing a single fixed coding style, allowing developers and teams to define their own rules for what constitutes acceptable code.
Sources: JSHint official site
JSHint has limited AI-search visibility, scoring 30/100 on Brand Analyzer's AI visibility composite (visibility 22, trust 26, recommendation 50). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: JSHint official site
JSHint analyzes JavaScript code to detect errors and potential problems before they cause issues in production. It scans code for syntax mistakes, undeclared variables, unused code, and other patterns that commonly lead to bugs. Because it is configurable, developers can set which checks and rules apply to their specific project, enabling teams to enforce their own coding conventions rather than adhering to a single predefined style. This helps development teams catch mistakes early and maintain more consistent, higher-quality code across a codebase.
Sources: JSHint official site
JSHint scores 50/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest SaaS options. Recommendation depends on crawlability, structured data, and category authority.
Sources: JSHint official site
JSHint is known for being one of the early and widely used static analysis tools (linters) for JavaScript, and for its flexible, configurable approach that lets developers customize which coding rules and error checks apply to their projects. It is also known for being community-driven and open-source, distinguishing it from tools that impose a fixed, opinionated coding style.
Sources: JSHint official site
JSHint can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: JSHint official site
JSHint is used by JavaScript developers and development teams who want to maintain code quality, catch errors early in the development process, and enforce coding standards across a codebase. Its configurable nature makes it suitable for individual developers as well as larger teams that need to align on shared coding conventions without adopting a single, non-negotiable style guide.
Sources: JSHint official site
JSHint's popularity among JavaScript developers stems from its flexible, configurable approach to static code analysis, which lets teams enforce their own coding conventions rather than being locked into one rigid style. As a community-driven, open-source tool, it has benefited from ongoing contributions and adaptability to different project needs, making it a practical choice for developers seeking to catch errors early without being constrained by a single opinionated linting philosophy.
Sources: JSHint official site
JSHint scores 30/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
JSHint has a weak AI-visibility profile at 30/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (50/100) and its weakest is visibility (22/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #180,352 (Tranco) and a Moz Domain Authority of 56/100. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify JSHint from memory (September 2026) - a sign these signals are paying off.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to JSHint: Pressto (63/100), Jin Technologies Private Limited (Jintech) (63/100), Kashier (63/100), KensieMae (63/100).
A step up - brands to learn from: Zocket (71/100), ZeroTrusted.ai (71/100).
Category leader: Hostinger (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.