Supacomp is the control layer for AI-built software. After AI writes the first draft, you branch variants on a canvas, compare them side by side, keep production safe, and promote what works.

How is Supacomp different from Lovable, Bolt, v0, or Cursor?

Those tools generate the first draft. Supacomp is what happens next. It’s an experimentation plane where every variant lives side by side, an architectural blueprint that takes shape as you build, a runtime where parallel agents stay in view, and a time machine where every branch and state is reachable. The first-draft tools end at one direction. Supacomp lets you compare directions before you commit.

What is vibe architecting?

Vibe architecting is the craft of building software on a canvas instead of in a chat thread. Where vibe coding is a move — you prompt, you steer, you ship what came back — vibe architecting is what happens when you branch a thought into options, compare them on the canvas, and promote what works. The product takes shape spatially, not as a deleted history of prompts. Same builder. Bigger canvas.

Is Supacomp vibe coding or something else?

Supacomp uses vibe coding to generate the first draft, then takes you somewhere vibe coding can’t go. Vibe coding ends when one prompt returns one direction. Supacomp begins there: it puts that direction on a canvas, lets you branch alternatives next to it, and gives you somewhere to compare before you ship. We call this vibe architecting — the room vibe coding finally has somewhere to live in.

Does Supacomp replace Figma, Cursor, or GitHub?

No. Supacomp is the layer above your existing tools, not a replacement for them. Designs are real, working software, not export-only mockups. Code stays portable. You can keep using Figma for early ideation, Cursor for deep code work, and GitHub for source control. Supacomp owns the part those tools never solved: branching, comparing, and promoting AI-generated variants on a canvas.

How does Supacomp protect my production code?

Production never sees an experiment until you promote it. Every variant lives in an isolated sandbox that mirrors production but can’t write to it. AI agents can branch, edit, and run inside the playground freely. Promotion is the only path that touches your live code, and every promotion is reversible. There is no AI tool that can accidentally drop your production database in Supacomp.

Does Supacomp lock me into one model or vendor?

No. Supacomp is an independent control layer. It works alongside leading code-generation models without binding you to a single AI provider, runtime, or hosting stack. Your code stays portable.

What happens to my code? Can I export it?

You own your code. Supacomp produces clean, standard output you can export and run anywhere at any time. No proprietary runtime, no lock-in, no hidden compile step.

Is Supacomp free to use?

Supacomp is in pre-launch. Waitlist members get early access at no cost during the closed beta and lock in early-access pricing when paid plans go live.

How much does Supacomp cost?

Supacomp is in closed beta and free for waitlist members during the early-access window. Paid plans launch alongside public availability and follow a SaaS-plus-credits model: monthly subscription for canvas access, usage-based credits for AI generation, sandbox runs, and deployments. Waitlist signups lock in early-access pricing before public launch.

What AI models does Supacomp use?

Supacomp is model-flexible by design. The canvas runs on the leading generative models — GPT, Claude, Gemini, Grok, Kimi, Qwen, MiniMax, and the next one to ship — with the architecture built so new models drop in without rewriting anything. You don’t pick a model. Supacomp routes each task to the model that handles it best, so as model quality improves, your canvas inherits the gains.

Do I need to know how to code?

No. Supacomp keeps the canvas, conversation, and code in one workspace, so you can build by intent and let the AI handle the implementation. Engineers get full code access when they want it.

Can other people work in the same project?

Multiplayer canvas is on the way. Early access starts as a single-builder experience so we can get the core loop right; shared canvas branching and review land soon after. Waitlist members get the new collaboration layer as it ships.

What can I build with Supacomp?

Supacomp is built for product-shaped software — landing pages, marketing sites, dashboards, onboarding flows, internal tools, SaaS app surfaces, and full product MVPs. Most users start with a single page and grow into a full product as they branch and promote variants on the canvas.

We tried every AI website builder in 2026 — here's why we're building Supacomp differently

The Great AI Builder Explosion

2025 was the year AI coding tools went mainstream. By early 2026, there are over 40 products claiming to "turn prompts into production code." We've tested the major players extensively—not just demos, but real projects shipped to real users.

This isn't a hit piece. These are genuinely impressive tools built by talented teams. But after months of use, we identified a fundamental gap that none of them fill. That gap is why Supacomp exists.

v0 by Vercel

What it does well: UI generation is world-class. The shadcn/ui integration means components look professional out of the box. The iteration loop is tight—you can refine a component in seconds.

The limitation: It's component-focused, not application-focused. v0 excels at generating isolated UI pieces but doesn't help you see how those pieces connect. You're still mentally stitching together the application architecture.

Best for: Rapid UI prototyping, component libraries, design system exploration.

Bolt.new

What it does well: Full-stack in-browser development is magic. You can go from prompt to deployed app in minutes. The WebContainer technology is genuinely impressive.

The limitation: Everything lives in a single chat thread. Complex applications become impossible to navigate. After 20 back-and-forths, you lose track of what was changed where. There's no visual map of your project.

Best for: Quick prototypes, hackathon projects, learning exercises.

Cursor

What it does well: Deep IDE integration. The autocomplete is excellent. Cmd+K edits are powerful for surgical changes. It enhances your existing workflow rather than replacing it.

The limitation: It's still a text editor. You're navigating files linearly. The AI is local to your cursor position—it doesn't have a global view of your application architecture. Great for implementation, but not for design.

Best for: Professional developers who want AI assistance in their existing workflow.

Lovable (formerly GPT Engineer)

What it does well: Ambitious full-app generation. You can describe a complete product and get a working prototype. Good for validating ideas quickly.

The limitation: The generated code is often opaque. Making targeted changes is difficult because you don't understand the structure. It's a black box that works until it doesn't.

Best for: Non-technical founders validating product ideas.

Replit Agent

What it does well: Autonomous multi-file editing. The agent can plan and execute complex tasks across your codebase. Good for understanding project context from existing code.

The limitation: Still chat-based navigation. You describe what you want, the agent runs off and does things, and you hope the result matches your mental model. Debugging AI decisions is frustrating.

Best for: Greenfield projects where you trust the AI's architectural decisions.

The Gap We're Filling

Every tool above shares a fundamental assumption: the developer works in a linear interface (chat or IDE) and the AI works invisibly in the background.

Supacomp inverts this. The canvas is the interface. You and the AI share the same visual representation of the application. There's no gap between what you see and what the AI sees.

Specifically, Supacomp addresses:

1. Architectural visibility. You see every component as a node. Connections between components are visible wires. Data flow is explicit, not implicit.

2. Parallel exploration. Generate 5 variants of a component and see them side-by-side. Compare, merge, or discard without affecting your main project.

3. Context preservation. The canvas is your persistent memory. You never lose track of what connects to what because it's always visible.

4. Collaborative architecture. The canvas is the shared artifact for teams. It's self-documenting. New team members can understand the system by looking at it.

Why Not Just Add a Canvas to Existing Tools?

Fair question. The answer is that spatial-first requires rethinking the entire interaction model. You can't bolt a canvas onto a chat interface—the paradigms conflict.

When the canvas is central, the AI's role changes. It's not answering questions in a conversation. It's filling in nodes on a shared blueprint. The prompt isn't "build me a dashboard"—it's "fill in this node with a revenue chart that connects to this data source."

This is a fundamentally different product architecture, which is why we started from scratch.

Our Thesis

We believe the winners of the next era of software development will be tools that give humans understanding, not just output. The AI coding tools of 2025 optimized for generation speed. The tools of 2027 will optimize for comprehension and control.

Supacomp is our bet on that future.