Why Accessibility Matters
An accessible web is a legal requirement and an indexing standard. Using axe-core algorithms allows developers to identify screen-reader mismatches before users experience them.
Miiiira is a digital engineering lab created by Mira, dedicated to providing high-information-gain tools that audit technical structures without selling your data.
I am a developer and systems engineer who values simple interfaces, strict user privacy, and clean semantic code. Over the last decade, I have built web architectures, consulted on accessibility standards, and researched how indexing systems translate content layouts.
Traditional SEO is filled with blackbox data tracking and bloated packages. Miiiira was built to provide clear, actionable, client-side diagnostics. We analyze crawler directives, accessibility problems, and LLM discoverability while keeping client logs completely private.
We believe technical utilities should be direct and clear. Our mission is to keep all tools publicly accessible, ensuring developers and founders can audit their web accessibility, security standards, and AI rankings without paywalls or tracking scripts.
Select a milestone to view development details and technical highlights.
Pivoted to tracking conversational search queries, RAG pipeline extractions, and model citation rates.
Audits robots.txt rules and crawler blocks, calculates schema compatibility, and benchmarks competitor mentions across Gemini, Perplexity, and ChatGPT Search.
Technical DiagnosticValidates site structure landmarks, canonical references, and indexability errors without storing client audit data.
Compliance SuiteRuns automated WCAG and ADA accessibility checks directly in the browser using custom configurations.
Developer UtilityA free Let's Encrypt client generating SSL certificates instantly via client-side HTTP-01 file validation.
An accessible web is a legal requirement and an indexing standard. Using axe-core algorithms allows developers to identify screen-reader mismatches before users experience them.
We do not store target domains, analyzed source codes, or technical audit parameters in databases. Diagnostics should remain client-side, secure, and private.
Landmark tags like main, section, and article help AI parsers categorize page segments, boosting RAG summarization accuracy.
Slow sites increase bounce rates and search crawls fail. Our platforms are built on Nuxt with static caches to guarantee Lighthouse scores above 95.
| Category | Verification Details | Target Outcome |
|---|---|---|
| Accessibility | Automated axe-core tests mapping WCAG 2.2 parameters. | 100% Compliance |
| SEO | JSON-LD schema validations and crawler directive checks. | Valid Schema |
| Security | A+ SSL ratings, client-side encryption, zero database tracking. | Secure Audit |
Required high-security architectures, localized access nodes, and robust database privacy protections.
Built a decoupled Nuxt client referencing Supabase Postgres with strict Row Level Security (RLS) configurations.
Traditional learning systems introduced layout clutter and slow client load times on standard networks.
Designed a lightweight static framework optimized with pre-rendered data templates and caching strategies.
I occasionally publish articles on technical SEO, accessibility compliance, and LLM visibility checks. For consulting inquiries or speaker requests at tech conferences, connect via LinkedIn or Twitter.
Have inquiries about AI search optimization, custom audits, or open source configurations?
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