teach-in
teach-in YouTube Statistics & Analytics
teach-in Content Analysis
Content Type Distribution
📽️ This channel specializes in long-form videos. Deep dives and comprehensive content perform well here.
Content Categories
🎯 Primary focus: Science & Technology with 520 videos (100% of categorized content).
teach-in Channel Snapshot
A high-level snapshot of content cadence, library size, and consistency derived from this channel's recent uploads.
Growth Potential
Library of 50 videos with ~170 avg views per upload. Combined size + reach signal suggests early-stage development.
Audience Engagement
Avg engagement rate of 2.71% (likes + comments / views) across 50 videos. Below the ~3% industry baseline; community-building plays could lift this.
Niche Specialization
98% of recent videos cluster in Knowledge. Strong niche identity — algorithm-friendly.
Suggested Actions
Recommendations grouped by typical impact for channels at this stage
- 1Increase upload frequency to 2-3 videos per weekHigh ImpactCadence
- 2Focus on SEO optimization for better discoverabilityHigh ImpactSEO
- 3Analyze top-performing content for pattern replicationMediumStrategy
- 4Increase community engagement through comments and pollsMediumEngagement
Top 5 Videos

Журавлев А.Ю. - Основы палеонтологии - 6. Мезо-кайнозойская эскалация

Манухов С.И. - Теория групп - 1. Основные понятия теории групп. Часть 1

Асташова И.В. - Математика для абитуриентов - 29. Векторная алгебра. Задачи стереометрии. Часть 1

Пенской А.В. - Спектральная геометрия - 6. Спектр диска. Нодальные области собственных функций

Беляев О.И. - Лексико-функциональная грамматика - 4. Множества. Вершины и проекции
See Top Science & Technology YouTube Channels in Russia
Compare this channel with the leading Science & Technology creators in Russia.
teach-in Channel Snapshot
A high-level snapshot of content cadence, library size, and consistency derived from this channel's recent uploads.
Growth Potential
Library of 50 videos with ~170 avg views per upload. Combined size + reach signal suggests early-stage development.
Audience Engagement
Avg engagement rate of 2.71% (likes + comments / views) across 50 videos. Below the ~3% industry baseline; community-building plays could lift this.
Niche Specialization
98% of recent videos cluster in Knowledge. Strong niche identity — algorithm-friendly.
Suggested Actions
Recommendations grouped by typical impact for channels at this stage
- 1Increase upload frequency to 2-3 videos per weekHigh ImpactCadence
- 2Focus on SEO optimization for better discoverabilityHigh ImpactSEO
- 3Analyze top-performing content for pattern replicationMediumStrategy
- 4Increase community engagement through comments and pollsMediumEngagement
Frequently Asked Questions About teach-in
Data Source & Accuracy
Data from YouTube Data API v3 • Updated hourly • Last updated: 01:49 PM