J’ai créé mon Propre YouTube sans l’algorithme toxique de Google

Item: J’ai créé mon Propre YouTube sans l’algorithme toxique de Google
Rating: 4
Author: PostSingularity Institute

by Shubham SHARMA

Applied Sciences & Engineering Computing & Cybersecurity UComputing and Information Technology UDDigital Lifestyle and online world: consumer and user guides

🎙 Shubham SHARMA 👥 313K 📅 February 10, 2025 ⏱ 20 min 👁 36K 📄 tutorial 🧭 2026-08-24

Available in: English (current) Français

Keywords

no-codeAI app builderYouTube APISupabaseLovable

Summary

In this video, Shubham SHARMA demonstrates how he built a personalized YouTube-like application using AI and no-code tools, primarily Lovable, to avoid the toxic recommendation algorithm and endless Shorts. He outlines a three-step plan: reflection, construction, and tips. In the reflection phase, he emphasizes the importance of planning features before building, and explains the frontend/backend distinction, introducing Supabase for backend data storage. During construction, he shows how he prompted Lovable to create the UI, set up a Supabase database, integrate the YouTube API to fetch creator info and videos, and add features like a calendar, filtering, and search. He highlights common pitfalls, such as relying too much on the ‘Fix It’ button without understanding errors, and the importance of having a clear plan to avoid excessive iterations. He also discusses cost optimization, suggesting transferring the code to GitHub and using Cursor or Bolt.diy to iterate more cheaply. The video concludes with a call to join a waitlist for a comprehensive guide on building AI apps.

165 words

Critical Evaluation

Value of the Information & Strength of the Argument

The video provides a practical, step-by-step demonstration of building a functional app with no-code tools, which is valuable for beginners. The creator shares his real experience, including mistakes and troubleshooting, which adds authenticity. However, the argumentation is largely anecdotal and promotional, with limited critical analysis of the tools or the approach. The emphasis on personal success and the benefits of the custom app is persuasive but not scientifically rigorous.

Scientific Rigor, Source Quality, Title Accuracy

The video is a tutorial based on personal experience, not a scientific study. The sources cited are mostly links to the creator’s own products and affiliate links (e.g., Lovable, Cursor). The title accurately describes the content, and the video includes chapters for navigation. The creator does not provide external references or data to support claims about the algorithm’s toxicity or the effectiveness of his approach.

149 words

Title / Content Match

The title accurately reflects the content: the creator builds a personalized YouTube alternative to avoid the toxic algorithm.

Quality & Reliability

6/10

The video is a practical tutorial demonstrating the creation of a custom YouTube-like app using AI tools. The approach is reproducible and the creator shows real examples, but the content is largely based on personal experience and promotional material, with limited in-depth technical explanation or external validation.

Chapters

Cited Sources

Lovable — AI tool used to build the app without code.
Cursor — Code editor used to iterate on the generated code.
Waitlist for AI app guide — Sign-up for a comprehensive guide on building AI apps.
Notion Templates — Templates for Notion, mentioned as part of the creator's offerings.
Formation Make — Training program on automation with Make.
Notion Secrets — Training program on mastering Notion.
Notion Facile — Free training videos on Notion basics.
Automation Facile — Free training on NoCode automation.
Shubham Sharma's website — Personal website with links to other resources.
LinkedIn — Professional profile.

Concurring Sources

YouTube Data API documentation — Official documentation for the API used to fetch video and channel data.
Supabase Edge Functions documentation — Documentation on server-side functions that can call external APIs.

Contribution & Novelties

The video offers a practical, beginner-friendly approach to building a custom content consumption app using AI and no-code tools. It demonstrates the integration of external APIs (YouTube) with a backend (Supabase) in a no-code environment, which is a valuable skill. The creator shares his iterative process and cost-saving tips, such as transferring code to GitHub and using alternative tools like Bolt.diy.

Pour aller plus loin :

YouTube Data API — Official documentation for the API used to fetch video and channel data.
Supabase Edge Functions — Documentation on server-side functions that can call external APIs.
No-code development — Overview of no-code platforms and their capabilities.
Lovable — The AI app builder used in the video.
Bolt.diy — Open-source alternative for AI-powered app development.

123 words

Radar Profile

The radar profile shows moderate scores across all dimensions, with a slight emphasis on quantity of information and technical level. This reflects a tutorial that provides a good amount of practical steps but lacks deep scientific rigor or critical analysis.

Reliability 6/10