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A page can look correct after hydration while still delivering incomplete, late or inconsistent HTML to search crawlers and social-preview bots.
I built SSRWire to inspect that exact layer.
It makes real HTTP requests using browser, Googlebot, Bingbot, X/Twitter and Facebook user-agent profiles, then reads the streamed HTML incrementally. It records when titles, descriptions, canonicals, robots directives, Open Graph and Twitter Card metadata, JSON-LD, H1s and main content become observable—including timing, byte position and whether each signal arrived in <head> or <body>.
The new 0.4.0 release can also compare preview and production audits without repeating the requests. It separates regressions, fixes and neutral changes, applies configurable timing thresholds, and generates a self-contained HTML waterfall for each user-agent profile.
JSON and SARIF output make the checks usable in CI:
npx ssrwire https://example.com/
No browser installation and no JavaScript execution. SSRWire is deliberately an HTTP-level SSR consistency and release-QA tool, not a full crawler or rendering emulator.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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I built a fully automated content system that researches, writes, optimizes, and publishes SEO blog articles with zero manual work.
It scrapes daily news, stores it in a MongoDB vector database, and uses a team of AI agents to pick topics, write, and quality-check each article, rewriting until it hits a quality threshold. It then generates SEO metadata and a custom cover image, and publishes straight to WordPress.
Built with n8n, MongoDB Atlas, Google Gemini, OpenAI, and the WordPress REST API.
Result: 5 to 6 SEO-ready articles published per day, fully hands-free.
