Cole Medin

Cole Medin

US
@colemedin
Science & Technology
249
Video Count
10.2M
Video View
198.0K
Subscriber
#22,593
United States Rank
#113,383
Global Rank
Cole Medin YouTube channel subscribers:198,000- Seelive statisticsand growth insights below.

Cole Medin YouTube Statistics & Analytics

Subscribers
198.0K
Total Views
10.2M
Videos
249
Activity
Unknown

Cole Medin Content Analysis

Content Type Distribution

Long videosLong
77%
215 videos
ShortsShorts
23%
63 videos

📽️ This channel specializes in long-form videos. Deep dives and comprehensive content perform well here.

Content Categories

Primary CategoryScience & Technology
100%
Science & Technology
278(100%)

🎯 Primary focus: Science & Technology with 278 videos (100% of categorized content).

Latest Video

Long video
I Love the Karpathy LLM Wiki but it Doesn't Scale. Here's What Does.
18:57
New

I Love the Karpathy LLM Wiki but it Doesn't Scale. Here's What Does.

15.7K
Views
591
Likes
4 days ago
Published

Markdown makes great memory for an AI agent - a Karpathy-style LLM wiki, an Obsidian second brain it reads and writes. If the agent is just yours, a folder of markdown is hard to beat: simple, yours, all in git. My second brain is exactly that! It falls apart the second you ship that agent to other people. Now the memory has many users at once, the data behind it changes in real time, and you need retrieval and access control a pile of files can't give you. That's not a memory problem anymore - you need a context layer. So I take an agent and build it that layer with Redis, going deep on two new pieces of Redis Iris: Context Retriever, which turns your data into tools the agent can safely call, and Agent Memory, which scales recall across thousands of conversations. ~~~~~~~~~~~~~~~~~~~~~~~~~~ Thanks to Redis for working with me on this video! I've been looking for a while for the best database platform to make exactly this video. I focus on the two newest pieces, Context Retriever and Agent Memory. Iris is actually five tools, those two plus Redis Data Integration, LangCache, and Redis Search. All seriously worth a look: https://fandf.co/439eNyo ~~~~~~~~~~~~~~~~~~~~~~~~~~ - Join my free live workshop on July 29th, where I show you how to become an AI native engineering organization - building a reliable standard for how teams use AI coding agents: https://dynamous.ai/ai-native-engineering-org - My Pydantic AI + Redis Iris agent I demoed in the video: https://github.com/coleam00/redis-iris-agent - Redis Iris docs (Context Engine): https://redis.io/docs/latest/develop/ai/context-engine/ - Context Retriever quickstart: https://redis.io/tutorials/getting-started-with-redis-iris/ ~~~~~~~~~~~~~~~~~~~~~~~~~~ 0:00 Two Types of AI Agents 1:14 Why Personal Agents Don't Scale 3:02 Production Agent System Architecture 4:47 Demo: E-commerce Agent Support 9:59 Implementing the Context Retriever 14:40 Short and Long-Term Memory 18:07 When to Use Each Architecture ~~~~~~~~~~~~~~~~~~~~~~~~~~ Join me as I push the limits of what is possible with AI. I'll be uploading videos weekly - at least every Wednesday at 7:00 PM CDT!

ai artificial intelligence ai agents

Ver los Mejores Canales de Ciencia y Tecnología en YouTube en Estados Unidos

Compara este canal con los principales creadores de Ciencia y Tecnología en Estados Unidos.

Ranking: Estados UnidosCategoría: Ciencia y TecnologíaEnfoque de Categoría: 100%
Abrir Ranking

Cole Medin Channel Snapshot

Score: 5.7/10

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

Overall Score
5.7
Consistency
95%
Cadence
2-3/wk
Library
50

Growth Potential

6/10

Library of 50 videos with ~13.9K avg views per upload. Combined size + reach signal suggests steady building.

Audience Engagement

5.5/10

Avg engagement rate of 3.29% (likes + comments / views) across 45 videos. Healthy — at or above the ~3% baseline.

Niche Specialization

5.7/10

53% 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 Cole Medin

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: 01:06 AM