Bots can read it
Strict schema, text-first rendering, and zero JS bloat mean fast parsing by any crawling agent.
For AI. For Trust. Not for vanity.
A canonical, machine-readable CV that bots can parse, index, and trust. We export your LinkedIn data, normalize it to YAML, JSON-LD, JSON Resume, and TXT, render it with our design system, and deploy to GitHub Pages for fast crawl and stable open-web ranking.
One YAML source — six outputs generated automatically on every build.
Source of truth — readable, diffable, git-native.
schema.org Person metadata for entity resolution.
Ecosystem compatibility with open resume tooling.
Flat facts optimized for LLM context ingestion.
Fast, accessible, linkable human layer.
Optional, rendered from YAML source on request.
Five steps from raw data to a deployed, crawlable, trust-ready CV.
Export your LinkedIn data or share any existing resume document.
Convert to YAML. Generate JSON-LD, JSON Resume, TXT, and HTML automatically.
Render with our neubrutalist, accessible design system.
Publish to GitHub Pages with sitemap, robots.txt, canonical & OG tags.
Crawl checks, trust-signal review, and a quick how-to guide included.
Strict schema, text-first rendering, and zero JS bloat mean fast parsing by any crawling agent.
Canonical URLs, linked evidence, and consistent entity data resolve ambiguity for search and AI.
Git history, audits, and reproducible builds keep full ownership in your repository.
Everything needed to be indexed, parsed, and trusted — delivered and deployed.
Kick off with your LinkedIn export or existing resume — we handle the structured build and deployment, start to finish.