
AI PRD generator: Vibemaster interviews you and writes the build prompt, architecture flowchart, business plan and roadmap for Lovable, Cursor or Claude Code. Free for 2 projects.

bolt.new
BASE44
Cursor
v0.app
v0.dev
Emergent
Softr
The world's first AI Fullstack Engineer

Which is more popular?
Based on our record, Lovable seems to be more popular. It has been mentioned 77 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | vibemaster.ai | lovable.dev |
| Pricing | — | |
| Company | — | Startup from the United States |
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Vibemaster - from idea to spec.
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As answered by people managing Vibemaster and Lovable.
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.
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Lovable is the closest like-for-like alternative. You describe an app in plain English and get pages, a database and logins, just as with Base44. Where it stands out is design: apps tend to look finished on the first...
This is Lovable's clearest advantage, and Base44's own users say so. In a public thread where Base44's founder asked builders what to improve, one of the recurring requests was better design quality, with Lovable...
Recommendations tracked on public social media and blogs since March 2021.


Tracking Vibemaster since Nov 2026.
Most "things to do near me" apps built with AI tools hit the same wall: the app looks great, but the events are made up, or scraped from a site that breaks next week. This guide wires a Lovable app to real, daily-updated event data from... - Source: dev.to / 16 days ago
A page where clients look up their own status is a simple customer portal. Before anyone pays a developer for one, it's worth building a demo in an AI app builder and showing it to the team. Here's how that went in Lovable, with the... - Source: dev.to / 16 days ago
This is one of the strangest side effects of AI-assisted development becoming mainstream. Tools such as Lovable, v0, Bolt, Base44, Google AI Studio, Replit, and Claude can take a plain-language description and turn it into a working... - Source: dev.to / 2 months ago