Cloud Coding AI VS Vibemaster

Vibemaster's answer:

Our first paying customers came through our beta. We have around 100 free users, and a handful have upgraded to paid plans. At this stage, we’re sharing our traction in aggregate.

Vibemaster's answer:

With Vibemaster, you can start with a one-sentence idea and end with a build plan you understand and can use. A guided interview helps you decide what the app should do, how users move through it, and what data it needs. You can also map out the architecture, implementation roadmap, and business model from that same idea. And you can stay completely in Europe with solutions that are GDPR ready from the start.

What makes that combination valuable is that the plan works for two audiences. Your team gets a spec they can read, challenge, and agree on. Your AI coding tool gets a build prompt with architecture, setup instructions, and build order. You can take that same plan into Lovable, Cursor, Bolt, or Claude Code, so the decisions about your product travel with you when you switch tools.

Vibemaster's answer:

Choose Vibemaster if you have an app idea and want help making the product decisions before you start building. You can begin with one sentence. Vibemaster asks targeted questions and suggests answers when you get stuck, so you can work through user flows, features, and data even if you’ve never written a product spec.

You get a spec you can understand and share, plus a build prompt you can take straight into Lovable, Cursor, Bolt, or Claude Code. That makes it easier to spot missing decisions while they’re still a sentence to change and keep your plan if you switch coding tools.

Vibemaster's answer:

Vibemaster started with a pattern my co-founder Johan and I kept running into. We’d describe an app idea to an AI coding tool and get a working prototype in hours. Then we’d spend hours rebuilding it because we’d left basic questions open. Who should be able to edit the data? What should happen when a user takes a different path? The AI had made those decisions for us, and we only noticed once we tried using the app.

We wanted to keep the speed of vibe coding and make those decisions earlier. So we built Vibemaster to guide people from a rough idea to a spec they can review and a build prompt they can take into Lovable, Cursor, or Claude Code.

We started with a problem we had as founders. The same problem shows up in companies, where the person building an internal tool may be different from the people who will use, approve, and maintain it. A shared spec gives them something concrete to agree on before the build starts.

Vibemaster's answer:

Vibemaster is for solo founders, indie makers, and companies that want to build with AI coding tools like Lovable, Cursor, or Claude Code.

For founders and makers, it turns an app idea into clear requirements and a build plan, even if they’ve never written a product spec. For companies, it helps employees use vibe coding to build internal tools while giving business and IT teams a shared spec they can review and agree on before coding starts.

Vibemaster's answer:

Vibemaster uses Google Gemini as its default AI model and offers Mistral as an alternative. These models power the guided interview and generate product specifications and build prompts. The application and its database run on Scalingo in Paris. We use Supabase for authentication, Stripe for payments, and Sentry for error monitoring.