Watch Me Clone A $90,000 MRR Mobile App Using AI

Watch Me Clone A $90,000 MRR Mobile App Using AI

🎙 Astro K Joseph 👥 85K 📅 January 17, 2026 ⏱ 17 min 👁 6K 📄 tutorial 🧭 2026-09-17
Available in: English (current) Français

Keywords

AI cloningRocket.newSupabaseGeminiLogo generator

Summary

In this tutorial, the creator demonstrates how to clone a mobile app reportedly earning over $90,000 per month using AI. The app, called ‘AI Logo Maker Graphic Design’, is replicated using Rocket.new, a platform that generates Flutter-based apps from text prompts. The process begins with a simple prompt describing the desired app, followed by selecting screens such as onboarding, logo creation form, and gallery. The creator then integrates Supabase for authentication and database, and Gemini for AI-powered logo generation. The video shows the full workflow: creating a Supabase project, linking it via one-click integration, adding a Gemini API key, and testing the app by signing up and generating a logo. Additional features like targeted edits using ‘@’ and ‘/’ commands and visual editing are demonstrated. The creator successfully builds the APK and installs it on a phone, highlighting the rapid development potential. However, the video is sponsored and focuses on promoting the tool, with limited discussion of limitations or scalability.

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Critical Evaluation

Value of the Information & Strength of the Argument

The value of the video lies in its clear demonstration of how AI can accelerate mobile app development, making it accessible to non-coders. The step-by-step narrative is engaging and easy to follow, showing a complete flow from idea to working app. However, the argumentation is largely promotional: it portrays the process as effortless, without addressing potential pitfalls such as API costs, scalability issues, or the need for manual code refinement. The claim of cloning a $90k MRR app is used as a hook but is not substantiated with evidence (e.g., revenue charts, app store data). The video also lacks comparisons with traditional development or other no-code platforms, which would have provided a more balanced assessment.

Scientific Rigor, Source Quality, Title Accuracy

The scientific rigor is minimal; the video is a product demonstration rather than an educational study. Sources cited are limited to the creator’s own links (Rocket.new, newsletter, personal profiles) and a tutorial platform (Scrimba). No external research or independent verification is provided. The title is attention-grabbing but somewhat misleading, as the revenue figure is not proven and the cloning process is shown for a generic logo maker, not necessarily the exact app generating that revenue. The content aligns well with the title in terms of showing the build process, but the financial claim is overblown. No comment analysis is provided, as no comments were supplied.

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Title / Content Match

The title accurately describes the process of cloning an AI logo maker app, though the claimed $90,000 MRR is not independently verified and appears to be a screenshot from a third-party analytics tool.

Quality & Reliability

5/10

The video provides a practical step-by-step demonstration of building a mobile app using AI, but it is heavily promotional for Rocket.new and relies on unverified revenue claims. The technical depth is shallow, and while the process is shown, limitations and alternative approaches are not discussed.

Key Moments

Cited Sources

Contribution & Novelties

The video’s original contribution is its practical walkthrough of using an AI-driven platform (Rocket.new) to clone an existing revenue-generating mobile app, showing the ease of integrating services like Supabase and Gemini without writing code. It highlights a new workflow for rapid prototyping and MVP development. However, the approach is not novel in the broader context of no-code tools, and the video does not provide in-depth analysis or benchmarks.

Pour aller plus loin :

  • Rocket.new — The AI platform used in the video for generating Flutter apps from prompts.
  • Flutter — The open-source UI framework used by Rocket.new for cross-platform mobile development.
  • Supabase — An open-source Firebase alternative providing authentication and database services, integrated in the demo.
  • Google AI SDK for Gemini — The API used for generating logos via the Nano Banana Pro model (referred to as Gemini 3 Pro).

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Radar Profile

The radar profile shows moderate scores across all dimensions, with quantity of information (6) slightly higher than quality (5) and technical level (4). Reliability is also moderate (5). This indicates the video offers a substantial amount of practical info but lacks technical depth and independent verification, typical of promotional tutorials.

Reliability 5/10