Hygraph

🌍 Mass localization. No scripts. No manual UI work. With Hygraph MCP, you can now update localized content at scale through conversation. In our latest walkthrough, we connect Claude to Hygraph and: • Upload a structured CSV • Validate schema automatically • Generate and review mutations • Batch-update hundreds of entries • Verify changes instantly This is what content operations look like when your CMS is built as infrastructure. If you're managing multilingual navigation, product catalogs, or large-scale market expansion, this is worth 5 minutes of your time. Read the full article: https://lnkd.in/emCHrS8F

Hygraph MCP now supports schema operations, allowing AI tools like Cursor to create and update models, components, and fields directly. In this demo, Dino Omanovic spins up a brand-new project and uses MCP with Cursor to: • Create models, components, and fields • Configure fine-grained permissions for AI • Execute schema operations in parallel • Validate changes before applying them • Generate structured content live All in real time. From an empty project to a fully structured AI-powered knowledge base in 15 minutes — including #MCP setup. This is what schema automation with AI actually looks like. 👉 Watch the full walkthrough: https://lnkd.in/engXDJ5W

Velocity happens when you remove the bottlenecks. For Komax, the game-changer was not just a new CMS; it was a custom-built visual catalog of reusable building blocks inside Hygraph. By giving editors a high-fidelity workspace, Komax transformed their workflow: ✅ No more starting from scratch. Just pick your pieces and hit publish. ✅ Use the Demo Builder to experiment without breaking the live site. ✅ Komax saw a 70% jump in page loading speeds after moving to Hygraph. Read more about the Komax case study here: https://lnkd.in/eDw6mpTe

🏆 Proud to share that we’re officially a 2026 G2 Best Software Award winner in Content Management! In the Winter 2026 reports, we also ranked #2 in the Headless CMS Grid. Huge thanks to our customers for the trust and reviews that made this possible. See what our customers are saying → https://lnkd.in/dRDXxu6a #BestSoftware2026 

Your images might be killing your performance. If your asset quota is suddenly hit, don’t panic. Diagnose. Asset quota reached? → Check billing and usage first. If something looks off, contact support. Images oversized? → Apply image transformations. Resize and compress based on the actual display context. High render count? → Review your delivery strategy. Are you caching correctly? Serving responsive variants? Managing asset traffic isn’t complicated. Ignoring it is expensive. If you’re unsure where the spike is coming from, our support team is happy to help you trace it and optimize. Dr Issam S. Brian Gathuita Evelina Buiciag Juan Diego Londoño https://lnkd.in/deDEZQ4g

Ein CMS war nie „nur“ ein Editor. Es war die Antwort auf ein sehr konkretes Skalierungsproblem: mehr als eine Person, mehr als ein Kanal, mehr als eine Sprache. Und genau deshalb wird es auch nicht verschwinden. Es wird sich nur radikal verändern. Denn was CMS-Systeme bisher wirklich gelöst haben, ist nicht die hübsche Oberfläche, sondern die unsichtbare Arbeit dahinter: Inhalte von Technik entkoppeln, Zusammenarbeit mit Rollen und Freigaben, Versionen und Reverts, Übersetzungs Workflows, Distribution in mehrere Kanäle und am Ende Governance, also Konsistenz und Risiko Management. Jetzt kommt AI und verschiebt den Engpass. Text erzeugen ist plötzlich billig. Fast kostenlos. Extrem schnell. Der Flaschenhals ist Kontrolle: # Was ist die eigentliche Aussage? # Stimmen Fakten und Claims? # Bleibt die Brand Voice stabil, und ist das rechtlich sauber? AI bringt neue Fehlerbilder wie Halluzinationen, Voice Drift und unbeabsichtigte Plagiate. Und damit steigen die Anforderungen an Prozesse und Nachvollziehbarkeit, nicht umgekehrt. Parallel kippen die Workflows. Weniger menschengetrieben, mehr regelgetrieben. Nicht mehr: jemand schreibt, jemand prüft, jemand übersetzt. Sondern: Systeme generieren Varianten, Regeln stoßen Checks an, Menschen greifen bei Exceptions ein und geben frei. Übersetzung wird dabei nicht mehr Projektarbeit, sondern always on. Nur bleibt der harte Teil bestehen: Terminologie, Legal Formulierungen, Versionierung über Märkte, Freigaben je Land. Der entscheidende Shift ist aber, dass Content zum Datenprodukt wird. Wenn Inhalte automatisiert entstehen und in zig Kanäle fließen, brauchst du Struktur: # saubere Content Modelle statt freier Seiten # Metadaten wie Zielgruppe, Region, Claim Risiko und Quellenstatus, # Wiederverwendbarkeit, Varianten Logik und Lifecycle Management. Das passt besser zu einem Headless Content Layer als zu einem klassischen Seiten CMS. Meine These ist simpel: AI macht das CMS nicht obsolet. Sie entlarvt nur das klassische CMS als falsches Produktversprechen. In Zukunft gewinnt nicht der beste Editor. In Zukunft gewinnt das beste Content Control System: strukturiert, prüfbar, automatisiert, auditierbar, mit Governance, Provenienz und Distribution als Systemfrage. Deshalb vertrauen wir auf Hygraph und glauben damit einen Top Partner für diese Anforderungen zu haben.

Launching in a new market should not feel like starting from scratch. Yet for many teams, localization still means juggling tools, waiting on handoffs, and slowing down releases that should be simple. Voi Technology shared how they approached this differently. Instead of layering fixes on top of an old setup, they rethought their content foundation, moving to a headless model and making localization part of the workflow, not a separate process. The outcome: • Website traffic doubled after the migration • Maintenance effort dropped by around 50% • New languages launched in 2 weeks, not months • Content teams gained autonomy without relying on developers or agencies Read the Voi story here: https://lnkd.in/eTYZPGwX

AI Assist is now available to everyone, on every Hygraph plan! 🚀 Built directly into Hygraph Studio, AI Assist helps editors generate, improve, and translate content where the work actually happens. Because it’s schema-aware, it understands your content model and produces suggestions that fit your field types and constraints. AI Assist is now enabled for every Hygraph project, with improvements since Early Access and AI token allocations that scale by plan. 👉 Learn more and get started: https://lnkd.in/dcyPiCpG

Slow queries don’t usually come from “too much traffic” — they come from how queries and schemas are designed. In Part 2 of our Mastering the Hygraph API series, we break down: • Common query anti-patterns • Practical optimization techniques • Schema design principles that pay off at scale Written by our Support team Dr Issam S. Brian Gathuita Evelina Buiciag Juan Diego Londoño, with real examples you can apply right away. 👉 Read Part 2: https://lnkd.in/dktuRQnz

Copy. Paste. Screenshot. Repeat. 🤦♂️ Sound familiar? This is the reality for many technical reports - manual, repetitive, and hard to maintain. TechInsights broke free from this loop with a Modular Content strategy. They stopped thinking in terms of “documents” and started thinking in terms of bricks. Their transformation with Hygraph in numbers: • 300,000+ content pieces: Migrated into a structured, Lego-like system in just 6 months. • 80% of the PDF content was migrated in six months. • 6 weeks → real-time: Gone is the old “6-week wait” for a 600-page report. Now, updates are incremental and real-time. You can read more about techinsights story here: https://lnkd.in/dbHGsdrS