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.

From idea to deployed website in under 10 minutes

The 10-Minute Challenge

We hear a lot of skepticism about AI coding tools. "Sure, it can generate a button. But can it build something real?" Fair question. So we decided to put Supacomp to the test.

The challenge: build and deploy a complete SaaS landing page in under 10 minutes. Not a template. Not a clone. A custom page with hero section, feature grid, pricing table, testimonials, and a functional waitlist form connected to a database.

Here's how it went.

0:00 — The Blank Canvas

We start with an empty Supacomp project. The canvas is blank except for a single "App" node representing the Next.js entry point.

First move: we describe the overall structure. "SaaS landing page for an AI writing assistant. Modern, clean, dark theme. Hero, features, pricing, testimonials, footer."

The AI generates a scaffold—five connected nodes representing each section. No code yet, just structure. This took 15 seconds.

1:30 — Hero Section

We select the Hero node and add detail: "Large headline with gradient text. Subheading explaining the value prop. Email capture form. Animated background with subtle particles."

The AI generates a complete React component. We see the live preview inside the node. The gradient needs adjustment—we type "make the gradient more purple" and it updates in 3 seconds. Done.

3:00 — Feature Grid

"Six feature cards in a 3x2 grid. Each card has an icon, title, and description. Icons should be from Lucide. Cards should have hover animations."

Generated. We spot that the icons are generic. We prompt: "Use Zap for speed, Shield for security, Sparkles for AI, BarChart for analytics, Users for collaboration, Globe for accessibility."

Updated in 4 seconds. The grid looks sharp.

4:30 — Pricing Table

"Three pricing tiers: Starter free, Pro $29/month, Enterprise custom. Highlight the Pro tier. Include feature lists and CTA buttons."

The AI nails this on the first try. Pricing tables are well-represented in training data. We move on.

5:30 — Testimonials

"Testimonial carousel with three quotes. Include avatar, name, and company for each. Auto-rotate every 5 seconds."

Generated. We add placeholder content: "We don't have real testimonials yet. Use realistic-sounding quotes from fictional startup founders."

The AI invents three testimonials that are surprisingly believable. We make a mental note to replace these with real ones after launch.

6:30 — Database Connection

Here's where traditional AI tools fail. They generate forms that don't actually save data. We need a Supabase table for email signups.

In Supacomp, we drop a Database node, connect it to our Hero form, and describe: "Supabase table called 'waitlist' with columns for email, timestamp, and referral source."

The AI generates the table schema, the insert function, and the API route. All connected. We can see the data flow visualized as a wire between nodes.

8:00 — Styling Pass

The page works but feels a bit generic. We select all sections and prompt: "Increase contrast. Make typography bolder. Add subtle border separators between sections."

Global update. Every component refreshes. The page now has personality.

9:00 — Deploy

We hit the Deploy button. Supacomp pushes to Vercel. DNS propagates. The site is live at a .vercel.app subdomain.

Total time: 9 minutes 12 seconds.

What We Learned

This exercise proved something we suspected: the bottleneck is no longer implementation. It's decision-making.

Most of our 9 minutes was spent deciding what we wanted—not waiting for the AI to build it. The generation was nearly instant. The iteration was instant. The deployment was instant.

Traditional development inverts this ratio. You spend 80% of your time on implementation and 20% on decisions. With spatial AI, it's the opposite. And that's a profound shift in how we should think about building software.

The 10-minute website isn't a gimmick. It's a glimpse of the default workflow in 2027.