Content and publishing · Independent · 22 Oct 2026

shkuratovdesigner/yuben-app

Local-first YouTube outlier research — find the videos that outperform their channels, and learn why

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YuBen: YouTube outlier research. Finds videos that outperform their channels and explains why.

In simple English

This program helps you find YouTube videos that got way more views than their subscriber count suggests. You type in a topic, and it tracks down these hidden hits. It then analyzes their titles and scripts to show you what worked. Your API keys and research history stay entirely on your own computer. It costs you no money to run, other than your own YouTube and AI provider usage.

What it is

A local-first web application built with a FastAPI backend and a React frontend. It queries the YouTube Data API to calculate outlier scores and uses a pluggable artificial intelligence model to generate research summaries.

What it is good for

Content creators and researchers who want to reverse-engineer successful YouTube videos without paying for hosted software services.

Stars17
LicenceMIT
LatestNo tagged releasechecked 22 Oct 2026
Last code change2026-10-17
Written inPython
Setup effort
3 / 5
Payoff
4 / 5
Good
  • Runs entirely on your machine with local data storage.
  • Supports thirteen different AI adapters, including local models via Ollama.
  • Excludes promoted or artificial traffic by checking engagement ratios.
Watch for
  • Requires Python 3.10 plus and a specific Node version.
  • Needs your own YouTube Data API key and AI model key.
  • Consumes daily YouTube API quota during searches.
Replaces

manual YouTube competitor spreadsheets

Works well with

Ollama

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Install
git clone https://github.com/shkuratovdesigner/yuben-app.git
cd yuben-app
make install
make start

Independent: reviewed for Repo Radar outside the daily editions. Every independent repository

On Stack Radar: Design & Creative › Video Creation & Editing › YouTube Research & Ideation.

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