Codacus
@CodacusStop paying for AI you don't need. Most YouTube AI content is sponsored takes on tools you'll be subscribing to forever. This channel goes the other way. Codacus is about running real AI on hardware you already own — small models, self-hosted stacks, the homelab tools nobody's building thumbnails about. Every demo is on a 5-year-old MacBook or a $150 used GPU, because that's what most people actually have. New video weekly. Sometimes twice. Subscribe if "free and local" sounds like a feature, not a compromise.
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- Subscribers
- 38.5KTop 64%
- Avg views
- 48.5KTop 28%
- Median views
- 15.7KTop 64%
- View-through
- 100%Top 8%
- Engagement rate
- 2.9%Top 68%
- Past sponsors
- 11+
- Last published
- 19d ago
- Est. Rate $
- $4-6Kby Scout
- Audience Score
- 82by Scout
- Sponsor Score
- 47by Scout
Videos
- Opus 525:12Is Frontier Class Local AI Finally Practical?177K views · 12d ago
- Coderabbit23:02I Built a 24/7 Local AI Agent for My Team, With Native Browser Control20K views · 19d ago
- Ryzen 5600x20:32How Fast Can One RTX 3060 Actually Run 35B (llama.cpp enhancement)?45K views · 26d ago
- Apple Silicon19:24I Split Qwen 3.8 27B Model Across Mac and Nvidia PC (llama.cpp RPC Guide)30.5K views · 1mo ago
- Nvidia23:47Colibrì vs llama.cpp: Running DeepSeek V4 284B on CPU107K views · 1mo ago
- Anthropic14:09Did I Build the Best Local AI Agent Harness? (diched Hermes)22.3K views · 1mo ago
- Laguna S16:40I Ran a 118B Model on My Old 3060. Here’s What Happened.49.1K views · 1mo ago
- Prismml21:43Can a 3.5GB model replace my 35B daily driver? (Bonsai 27B)70K views · 2mo ago
Past Sponsors
Click a sponsor for its videos · Purple = dedicated video · Orange = integrated read · Grey = mentioned, not a paid sponsor
Rate Estimates
by ScoutEstimated from audience performance, not published by Codacus. A creator who claims this profile replaces them with their real rate card.
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Sponsorships observed in Babbl’s corpus of paid YouTube placements. Counts are a lower bound. Data as of 2026-09-18.