# Show HN: ZyVOP – Git Push to Publish on Dev.to, Hashnode, Medium and WordPress > Source: > Published: 2026-10-30 05:23:07+00:00 Create a home for your work, build an audience, and share each article across connected platforms. Custom Domains & Publications With Founding Pro, connect a root, www, or custom subdomain with managed TLS, publication layouts, standalone mode, and your own AdSense account. Multi-Platform Syndication Send full articles to connected Dev.to, Hashnode, Medium, and WordPress accounts immediately or after a configured syndication delay. Canonical Signals & IndexNow Choose a preferred source URL once. ZyVOP passes supported canonical fields to connected destinations and notifies IndexNow when eligible ZyVOP URLs change. Author Newsletters & CSV Export Build a verified audience with double-opt-in forms, send eligible articles to subscribers, and export your subscriber list as CSV at any time. Native Technical Authoring Write with live Mermaid diagrams, KaTeX formulas, syntax highlighting for 30+ languages, and embeds from supported code playgrounds. AI Writing Assistant Fix grammar, rewrite or expand passages, build outlines, suggest titles, and generate summaries, FAQs, and SEO metadata with your own Groq API key. Blog, RSS & Archive Import Import from Dev.to, Medium, Hashnode, or RSS—or upload a Markdown ZIP, including a Hashnode GitHub backup, as editable drafts. Scheduled Releases & Private Previews Queue articles for future automated release or generate secret, revocable draft preview tokens for peer reviews before publishing. GitHub Markdown Backup After connecting a repository, back up published articles and later edits as Markdown with frontmatter, or run a manual bulk backup for existing posts. API, CLI, CI/CD & MCP Publish or update Markdown through the REST API, npx zyvop publish, GitHub Actions, or supported MCP clients such as Claude Code and Cursor. Structured FAQs & AI Discovery Publish visible Q&As with matching FAQPage and TechArticle metadata, XML sitemaps, RSS feeds, and optional llms.txt resources without ranking or citation guarantees. Read & Channel Analytics Measure ZyVOP views, engaged reading depth, referral sources, detected AI-referral signals, and supported metrics from connected DEV and Hashnode accounts. Developer Automation Publish from your tools, not another workflow Use the ZyVOP CLI, a GitHub Actions workflow, or a supported MCP client to create, update, and schedule posts. “ZyVOP changed how I publish. I write once and it syndicates everywhere, keeping my canonical URLs clean so my SEO stays intact. I keep full ownership of my content, and my readers hit zero paywalls.” “Writing and publishing on ZyVOP is a great experience. I love that I no longer have to copy-paste articles across multiple platforms. I write once and ZyVOP handles distribution with full author attribution.” “I moved my technical articles here and created my Engineering in Practice series. What I appreciate most is that the team actively listens to contributors and ships developer improvements immediately.” Direct creator feedback Featured StoriesRecent Dispatches All Topics#Python#AI agents#AI#developer tools#open-source#TypeScript#AI Engineer#DevOps#security#LLM#JavaScript#Software#backend#ZyVOP#performance#System Design Move your blog from Hashnode or DEV.to to ZyVOP with a clear, low-risk workflow. Import posts, review drafts and images, and check canonical URLs before publishing. Caching is easy until a hot key expires and 50 requests hit your database at once. Here's how cache-aside and write-through work, why stale data and stampedes happen, and five practical ways to reduce them. Shared .env files work until someone leaves, a key leaks, or a commit goes public. This guide lays out a staged path for small teams, from basic hygiene and encrypted files to managed secret stores and Vault, with what each stage costs and when to move on. Keep your writing portable and your reader relationships resilient. Use a domain you control, keep exportable copies, invite readers to subscribe by choice, and stay connected across platforms. CPU, GPU, TPU, NPU: every chip maker claims to be built for AI. This guide explains what each processor really is, where each one shines or struggles, why memory bandwidth matters more than TOPS, and how to choose between them. Gemini 4 Carbon tops Artificial Analysis's brand-new Intelligence Index by one point, but only vetted cyber defenders can use it. This audit sorts every headline claim into independent, self-reported and unverifiable, then turns the result into a test plan you can run before it ships. Vector databases power semantic search, recommendations, and RAG. This guide walks through the nine building blocks — embeddings, similarity search, metadata, indexing, retrieval, filtering, storage, RAG, and the popular tools — with practical tips for choosing one. Why does a 7B model need 14 GB, and why does your program sometimes just say Killed? This post explains bits, floating point, the memory hierarchy, CPUs versus GPUs, and the operating system, then builds a calculator that tells you if a model will fit. Microsoft’s voluntary exit offer could reach about 60,000 employees, but eligibility is not the same as departures. Here’s who qualifies, what the package includes, and how it fits into the company’s workforce changes and AI infrastructure spending. OpenTelemetry sounds bigger than it is. Here's how to send traces, metrics and logs from a small FastAPI app into Grafana with one Docker command, zero-code auto-instrumentation and about 70 lines of Python. Nuxt 4.5 can flush your HTML shell before the page finishes rendering. Here's how to turn on experimental SSR streaming, what it actually speeds up, and the one rule about status codes, headers, and cookies you need to know first. A migration that takes milliseconds on your laptop can freeze production. Here's how locks cause outages, how expand and contract keeps old and new code working together, and how to run the risky ALTERs safely, with tested code. Many teams don’t need a new database to ship vector search. This guide compares pgvector with dedicated vector stores on scale, filtering, hybrid search, operations, and cost, and gives you a decision flow and a benchmark plan to use before you commit. Google DeepMind announced Genie 4 on October 27, 2026. It is a world model: a network that generates an interactive environment in real time while you steer...