Shreyansh Singh

Shreyansh Singh

IN
@real-shreyansh-singh
Entertainment
1.3K
Video Count
104.5M
Video View
1.3M
Subscriber
#9,994
India Rank
#45,973
Global Rank
Shreyansh Singh YouTube channel subscribers:1,260,000- Seelive statisticsand growth insights below.

Shreyansh Singh YouTube Statistics & Analytics

Subscribers
1.3M
Total Views
104.5M
Videos
1.3K
Activity
Unknown

Shreyansh Singh Content Analysis

Content Type Distribution

Long videosLong
6%
8 videos
ShortsShorts
94%
131 videos

🎬 This channel focuses primarily on short-form content (Shorts). Quick, engaging clips are the primary strategy.

Content Categories

Primary CategoryScience & Technology
99%
Science & Technology
138(99%)
Education
1(1%)

🎯 Primary focus: Science & Technology with 138 videos (99% of categorized content).

Latest Video

Long video
China’s 2.8 Trillion Parameter Open Model: Kimi K3 vs GPT-5.6 #shorts #youtubeshorts #Kimik3
1:23
New

China’s 2.8 Trillion Parameter Open Model: Kimi K3 vs GPT-5.6 #shorts #youtubeshorts #Kimik3

249
Views
10
Likes
2 days ago
Published

The open-source AI landscape just experienced a massive shift. Beijing based startup Moonshot AI officially unveiled Kimi K3, a massive 2.8 trillion parameter model that is directly challenging frontier closed source systems like OpenAI's GPT-5.6 and Anthropic's Claude Fable 5. In this complete break down, we analyze why Kimi K3 represents a watershed moment for open weights. Beyond matching top tier systems on general knowledge and coding leaderboards, Kimi K3 is drastically undercutting competitors on operational costs. We examine real world development performance and technical architecture: Complex Software Creation: A developer used Kimi K3 to build a fully playable 3D browser game combining elements of CS:GO and Portal executing the prompt sequence in just 3 shots for $3.24 in API token cost, compared to $6.00 on GPT-5.6 Sol and over $10.00 on Fable 5. Live Interactive Simulations: Demonstrating single-shot generation of complex WebGL ocean wave simulators running real-time controls in browser environments. 1M Token Context Efficiency: Utilizing a Mixture of Experts (MoE) setup with 896 routed expert networks, activating only 16 per token. KDA & Attention Residuals: Implementing custom linear attention mechanisms (Kimi Delta Attention) and selective layer retrieval to cut memory usage by up to 75% on long sequences. With Moonshot AI dropping the full weights open-source on July 27th, 2026, the competitive gap between closed proprietary systems and self-hosted open models is closing faster than ever. What would you build if your API processing costs got cut completely in half? Share your project ideas in the comments section below! ----------------------------------------------------------------------------------- Digital Heroes is Awwwards-recognized, a #1 Top Rated Agency, and winner of the "Best Shopify Agency" at the Digital Excellence Awards 2024. We're a Shopify Plus Premier Partner and UN Global Tier 1 registered agency specializing in custom software, web & mobile app development, and e-commerce solutions, having scaled 2,000+ brands to $50M+ in revenue across 55+ countries. Unlike most agencies, we back every project with a 100% satisfaction or full refund guarantee, backed by a 2.5M+ subscriber YouTube channel showing our work transparently, not just claiming it. 🔗 Connect: https://digitalheroesco.com/ Shreyansh Singh Managing Director Digital Heroes Team

See Top Science & Technology YouTube Channels in India

Compare this channel with the leading Science & Technology creators in India.

Ranking: IndiaCategory: Science & TechnologyCategory Focus: 99%
Open ranking

Shreyansh Singh Channel Snapshot

Score: 4.9/10

A high-level snapshot of content cadence, library size, and consistency derived from this channel's recent uploads.

Overall Score
4.9
Consistency
95%
Cadence
2-3/wk
Library
50

Growth Potential

4/10

Library of 50 videos with ~319 avg views per upload. Combined size + reach signal suggests steady building.

Audience Engagement

1.4/10

Avg engagement rate of 0.82% (likes + comments / views) across 50 videos. Below the ~3% industry baseline; community-building plays could lift this.

Niche Specialization

9.2/10

67% of recent videos cluster in Technology. Moderate focus — could tighten the niche for more compounding.

Suggested Actions

Recommendations grouped by typical impact for channels at this stage

  1. 1
    Increase upload frequency to 2-3 videos per week
    High ImpactCadence
  2. 2
    Focus on SEO optimization for better discoverability
    High ImpactSEO
  3. 3
    Analyze top-performing content for pattern replication
    MediumStrategy
  4. 4
    Increase community engagement through comments and polls
    MediumEngagement

Frequently Asked Questions About Shreyansh Singh

Data Source & Accuracy

Source: YouTube Data API v3
Accuracy: Real-time statistics from official YouTube API
Data is updated hourly and sourced directly from official APIs to ensure accuracy and reliability.

Data from YouTube Data API v3 • Updated hourly • Last updated: 10:38 PM