Turn Lovable Web App Into Mobile App & Publish To App Store (Shared Database) - OnSpace AI

Turn Lovable Web App Into Mobile App & Publish To App Store (Shared Database) - OnSpace AI

by Astro K Joseph · View the channel on PSI

Applied Sciences & Engineering Computing & Cybersecurity UMComputer programmingUMSMobile and handheld device programming
🎙 Astro K Joseph 👥 85K 📅 January 20, 2026 ⏱ 16 min 👁 13K 📄 tutorial 🧭 2026-09-17
Available in: English (current) Français

Keywords

no-codemobile appweb appOnSpace AIApp Store

Summary

The video presents a step-by-step tutorial on using OnSpace AI to transform an existing web app built with Lovable into a fully functional mobile app for both Android and iOS, while sharing the same backend via Supabase. The author first shows the web app, a professional headshot generator, and its connected Supabase project with database tables and storage. He then signs up on OnSpace AI, enters a natural language prompt to create the mobile app, and connects the same Supabase project to reuse existing tables and storage. After resolving an error related to private storage, he successfully logs in with an account created from the web app, demonstrating shared authentication. The mobile app generates professional headshots and stores them in the same database. He then adds a gallery page to view all generated images. The video also tours the OnSpace dashboard, highlighting features like QR preview, code access, analytics, GitHub sync, and APK/AAB downloads. The final part shows publishing the app to the Apple App Store by submitting through OnSpace AI, entering Apple developer credentials, and receiving an authorization code. The app appears in the developer account with status ‘prepared for submission’ and later ‘submitted’. The process is demonstrated live, and the video concludes with how to test via TestFlight.

210 words

Critical Evaluation

Value of the Information & Strength of the Argument

The video provides practical, hands-on value by walking through a real-world example of cross-platform app development with a shared backend. The argumentation is based on live demonstrations, making the claims credible. However, it relies heavily on the OnSpace AI platform and does not offer comparative analysis or deeper technical explanations. The value lies in its actionable steps, which viewers can directly follow.

Scientific Rigor, Source Quality, Title Accuracy

The video does not cite scientific sources; it uses the platform itself and some social links in the description. The source quality is limited to the tool’s documentation and the author’s own experience. The title precisely matches the content, which enhances trust. The scientific rigor is moderate, as the video is a tutorial rather than an evidence-based study. The description includes promotional links, but they are clearly separated from the main content.

149 words

Title / Content Match

The title accurately describes the content: the video demonstrates converting a Lovable web app into a mobile app with a shared backend and publishing to the App Store.

Quality & Reliability

8/10

The video is a clear, practical tutorial demonstrating a real workflow. However, it is promotional for OnSpace AI and lacks critical analysis or external validation.

Key Moments

Markers derived by PSI from the transcript: the creator did not define chapters.

Cited Sources

Contribution & Novelties

The video contributes by demonstrating a concrete, no-code approach to converting a web app into a mobile app while maintaining a shared backend, highlighting the ease of cross-platform deployment. It serves as a practical guide for users with limited coding experience.

Pour aller plus loin :

80 words

Radar Profile

The radar profile shows high quantity of information (8) and moderate quality (7), technical depth (5), and reliability (7). This indicates a tutorial that is rich in step-by-step content but not deeply technical or scientifically rigorous.

Reliability 7/10