Uploaded May 2026 | Updated September 2026, 2 weeks ago
🔥 (Discount Link) Try Recall 2.0: https://www.recall.it/?t=Dan
🎉 Code DAN25 for 25% off (valid until 1 June 2026)
Recall 2.0 is an AI second brain that summarizes, organizes, and chats with everything you save: articles, YouTube videos, podcasts, PDFs, and notes. Unlike ChatGPT or Perplexity, Recall answers from YOUR knowledge, not just the internet.
WHAT'S COVERED:
- AI chat with your personal knowledge base
- Auto-summaries of articles, videos, and podcasts
- Knowledge graph showing connections between your saved sources
- Spaced-repetition quizzes generated from your content
- Listen mode with AI voice narration
- Choose your AI model (Claude, GPT, Gemini)
COMMON QUESTIONS ANSWERED:
What is an AI second brain?
A system that captures everything you read, watch, and listen to, then lets you chat with it like ChatGPT, except the AI actually knows your sources. Recall 2.0 builds this automatically as you save content, no manual organization required.
How is Recall different from ChatGPT, Perplexity, or NotebookLM?
ChatGPT and Perplexity answer from the internet, they don't know what you've read. NotebookLM works one notebook at a time and is stuck with Gemini. Recall builds a connected knowledge base across everything you save, with a graph view that shows how ideas relate across sources and the ability to pick between top AI models - swicth between ChatGPT, Claude or any others.
Can Recall do what Karpathy's LLM Wiki does, without the setup?
Andrej Karpathy's LLM Wiki pattern (April 2026) showed how LLMs can maintain a persistent, compounding knowledge base instead of re-reading raw documents on every query. Recall is essentially that pattern as a product: no Obsidian vault, no Claude Code, no CLAUDE.md schema to maintain. You save sources, Recall compiles, cross-references, and lets you chat with the result.
Who is Recall 2.0 for?
Researchers, students, lifelong learners, and knowledge workers who consume a lot of long-form content (articles, papers, podcasts, YouTube) and want their AI to actually know their material. Particularly useful if you've tried Obsidian or Notion and found them too manual, or NotebookLM and found it too limited.
⏱️CHAPTERS:
0:00 Recall 2.0 Review
0:57 What Is Recall 2.0
2:16 How It Works
6:56 Is It Worth It?
OTHER VIDEOS:
youtube.com/watch?v=R3UtVUwZepI
youtube.com/watch?v=ZzuDc-ww9hk
Note: Some links are affiliate links that help the channel at no cost to you.
This video was sponsored by Recall.
#ad #recall #recallai #aisecondbrain #aiknowledgebase #notetakingapp #llmwiki #karpathy
🔥 (Discount Link) Try Recall 2.0: https://www.recall.it/?t=Dan
🎉 Code DAN25 for 25% off (valid until 1 June 2026)
Recall 2.0 is an AI second brain that summarizes, organizes, and chats with everything you save: articles, YouTube videos, podcasts, PDFs, and notes. Unlike ChatGPT or Perplexity, Recall answers from YOUR knowledge, not just the internet.
WHAT'S COVERED:
- AI chat with your personal knowledge base
- Auto-summaries of articles, videos, and podcasts
- Knowledge graph showing connections between your saved sources
- Spaced-repetition quizzes generated from your content
- Listen mode with AI voice narration
- Choose your AI model (Claude, GPT, Gemini)
COMMON QUESTIONS ANSWERED:
What is an AI second brain?
A system that captures everything you read, watch, and listen to, then lets you chat with it like ChatGPT, except the AI actually knows your sources. Recall 2.0 builds this automatically as you save content, no manual organization required.
How is Recall different from ChatGPT, Perplexity, or NotebookLM?
ChatGPT and Perplexity answer from the internet, they don't know what you've read. NotebookLM works one notebook at a time and is stuck with Gemini. Recall builds a connected knowledge base across everything you save, with a graph view that shows how ideas relate across sources and the ability to pick between top AI models - swicth between ChatGPT, Claude or any others.
Can Recall do what Karpathy's LLM Wiki does, without the setup?
Andrej Karpathy's LLM Wiki pattern (April 2026) showed how LLMs can maintain a persistent, compounding knowledge base instead of re-reading raw documents on every query. Recall is essentially that pattern as a product: no Obsidian vault, no Claude Code, no CLAUDE.md schema to maintain. You save sources, Recall compiles, cross-references, and lets you chat with the result.
Who is Recall 2.0 for?
Researchers, students, lifelong learners, and knowledge workers who consume a lot of long-form content (articles, papers, podcasts, YouTube) and want their AI to actually know their material. Particularly useful if you've tried Obsidian or Notion and found them too manual, or NotebookLM and found it too limited.
⏱️CHAPTERS:
0:00 Recall 2.0 Review
0:57 What Is Recall 2.0
2:16 How It Works
6:56 Is It Worth It?
OTHER VIDEOS:
youtube.com/watch?v=R3UtVUwZepI
youtube.com/watch?v=ZzuDc-ww9hk
Note: Some links are affiliate links that help the channel at no cost to you.
This video was sponsored by Recall.
#ad #recall #recallai #aisecondbrain #aiknowledgebase #notetakingapp #llmwiki #karpathy
