Coreframe Cloud VS Eddyter

Coreframe Cloud's answer

Coreframe Cloud rents full Windows desktops on NVIDIA RTX 5080 GPUs, streamed to any laptop and billed by the minute. Built for architects, interior designers, visualisation studios and CFD engineers who need workstation-class hardware for the hours they actually use it. Hosted in Bengaluru, billed in INR with GST included.

Eddyter's answer:

Eddyter is an AI-native rich text editor that ships as a single npm package and is fully managed. Most editors give you a framework and leave hosting, file storage, scaling and AI wiring to you. Eddyter includes all of that.

• Integrate in 10 minutes: install the package, add your API key, and render the editor
• AI built in: AI chat and slash commands inside the editor, with a choice of bringing your own LLM key (BYOK) or using fully managed AI
• Managed infrastructure: image and file storage, hosting and scaling are included, so there is no backend to build
• Built on Meta's Lexical: a modern, fast and extensible foundation
• Framework coverage: React, Next.js, Vue, Angular, Svelte, Vanilla JS and Laravel
• MCP server: AI coding agents can add Eddyter to a project through the eddyter-mcp package

Coreframe Cloud's answer

A whole dedicated RTX 5080, billed by the minute, priced in rupees with GST already included and a tax invoice you can claim input credit on — a combination we haven't found anywhere else in India. Most Indian GPU clouds sell headless Linux on datacentre cards to AI teams. Most cloud-workstation services that actually understand 3D work bill in dollars from outside India. Coreframe gives you a real Windows desktop with D5 Render, Blender, Twinmotion and Unreal Engine already installed, project files that persist between sessions, and billing that starts when the stream does and stops when you close it. Bring your own licence for Lumion, Enscape, Revit or 3ds Max — we provide the machine, never the licence

Eddyter's answer:

Compared with TinyMCE, CKEditor, Tiptap, Quill and Slate, Eddyter removes most of the work that usually comes with adding an editor to a product:

• Faster integration: a working editor in about 10 minutes instead of days of toolbar, plugin and upload wiring
• AI included, not a paid extension: AI features are part of the AI plans rather than separately priced add-ons
• No infrastructure to manage: storage, hosting and AI processing are handled for you
• Lower cost: paid plans start well below the published prices of comparable commercial editors
• Modern architecture: built on Lexical with TypeScript, designed for current React and Next.js apps
• Free tier: start without a credit card and upgrade when you need white-label or AI features

Coreframe Cloud's answer

Architects, interior designers and architectural visualisation studios, along with freelance 3D visualisers and students who need workstation-class hardware without buying it. A second group is HVAC and mechanical engineers who need pressure-drop numbers for ducts, pipes and fittings, including a three-mesh Verified study for when the answer has to stand up. The common thread is bursty work: heavy rendering or simulation before a deadline and very little after, which is exactly the pattern that makes owning a ₹5,00,000 machine hard to justify.

Eddyter's answer:

Eddyter is built for developers and product teams who need a rich text editor inside their own application:

• React and Next.js developers building SaaS products
• SaaS founders and startup teams who want to ship editing and AI writing features without building them from scratch
• Product teams adding content creation to dashboards, CMSs, help centers, internal tools and user-generated content features
• Agencies that build client projects and need a dependable editor they can reuse across them

Coreframe Cloud's answer

Coreframe Compute Labs was founded in Bengaluru in 2026 around a specific observation: the workstation an Indian design studio needs to render comfortably costs around ₹5,00,000 landed, gets bought once, and then sits idle most of the week. The cloud alternatives were either headless Linux boxes built for AI training, or foreign services billing in dollars with no Indian tax invoice. Neither suits someone who just wants to open Lumion and hit render. So we built the unglamorous version: a real Windows machine with a real GPU, hosted in Bengaluru, rented by the minute, with a GST invoice at the end of it.

Eddyter's answer:

Eddyter started from a problem our founder, Nimish, kept running into. He built the same rich text editor at three different jobs, on Lexical, Slate and ProseMirror. Each time it was the same wiring: toolbar, formatting, file uploads. Then someone would ask to "add AI," and the project would double in scope.

After the third time, we decided to turn it into a product. Eddyter is the editor we wished we had at every previous job: drop it in, get AI included, and integrate it in 10 minutes. It is built by Craxinno Technologies in Jaipur, India, and launched publicly in March 2026.

Coreframe Cloud's answer

The workstations are Windows 11 machines, each with a dedicated RTX 5080 (16 GB), streamed to your laptop over an encrypted private network with latency low enough for real-time viewport work. D5 Render, Blender, Twinmotion and Unreal Engine ship on the standard image, and project files persist in storage in the same Bengaluru facility. CFD runs on dedicated compute machines, one per job, which are deleted when the job finishes. Payments go through Razorpay, with GST invoices for Indian customers.

Eddyter's answer:

• Lexical (Meta's editor framework) as the core editing engine
• React and TypeScript
• Next.js for the web platform and dashboard
• Tailwind CSS and shadcn/ui for the interface
• Supabase for the database and authentication
• Redis for subscription and license sync
• Stripe for billing
• LLM integrations (bring-your-own-key or managed) for AI features
• Framework packages for Vue, Angular, Svelte and Vanilla JS, plus a Laravel package on Packagist
• Model Context Protocol (MCP) server for AI coding agent integration

Eddyter's answer:

• SaaS startups embedding AI writing features into their products
• Independent developers building React and Next.js applications
• Software agencies using Eddyter across client projects