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THIS GUY BUILT A RESEARCH SYSTEM THAT MAKES HIS WORKFLOW 10× FASTER. DROP A TOPIC INTO CLAUDE CODE IT FINDS 10 RELEVANT YOUTUBE SOURCES AUTOMATICALLY SENDS THEM TO NOTEBOOKLM 6 MINUTES LATER: A FULL STRUCTURED ANALYSIS. AN INFOGRAPHIC. AND A MARKDOWN FILE SAVED TO HIS VAULT. THIS IS WILD 🤯

Vivek Sen

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11,788 views • 5 days ago •via X (Twitter)

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THIS GUY BUILT A SYSTEM THAT GETS SMARTER EVERY TIME HE USES IT AND IT LOOKS LIKE A GALAXY he types one command into Claude Code it finds sources, runs analysis through NotebookLM, saves everything to Obsidian automatically graph in the background is every idea he's ever researched - all linked together system handles the research so he only has to think about what to do with it most people are still copy-pasting into Notion and losing everything by next week full setup in the article

THIS GUY BUILT A SYSTEM THAT GETS SMARTER EVERY TIME HE USES IT AND IT LOOKS LIKE A GALAXY he types one command into Claude Code it finds sources, runs analysis through NotebookLM, saves everything to Obsidian automatically graph in the background is every idea he's ever researched - all linked together system handles the research so he only has to think about what to do with it most people are still copy-pasting into Notion and losing everything by next week full setup in the article

monokern

45,188 views • 2 months ago

Claude Code cannot read 300 files at once. So someone built a system that lets it control NotebookLM from the terminal instead. The results are wild. Here is the full workflow nobody is talking about: The Setup → Claude Code connects to NotebookLM via a command line interface → Claude searches YouTube, finds relevant videos, uploads them as sources automatically → NotebookLM processes up to 300 sources simultaneously and returns cited, grounded answers → Everything syncs back into your Obsidian vault with passage-level citations you can click to verify Why This Changes Research Forever → No more 20 browser tabs you never close → No more copy-pasting outputs into random notes → No more hallucinated answers with no sources to back them up → 60% of citations verified as strong matches in accuracy audits - answers are grounded in real data What Claude Can Do From the Terminal → Search YouTube for relevant videos on any topic and rank by relevance → Create a new NotebookLM notebook and add 20 sources in parallel automatically → Ask questions and export cited answers directly into Obsidian with wikilinks → Set custom personas per notebook - concise, no filler, no preamble → Generate audio overviews and save them as MP3 files into your vault → Build mind maps, flashcard decks, and research dashboards from your sources → Search arXiv for academic papers and feed them directly into NotebookLM → Upload competitor blog posts, podcast episodes, PDFs, and your own vault notes The Obsidian Output → Every answer arrives with clickable citations that link to the exact passage in the source video or article → Graph view shows connections between all 20 sources and the topics they share → Q&A log tracks every question asked and the grounded response received → Source dashboard shows citation frequency, topics extracted, and which questions each source answered Use Cases Worth Building Today → Academic research with arXiv papers, full citation traceability → Competitor analysis from their YouTube channels and blog posts → Company knowledge base for onboarding, new employees ask NotebookLM instead of interrupting teammates → Podcast research, feed 4-hour Lex Fridman episodes and ask what's new in AI this week → Personal second brain, 300 daily notes uploaded and queryable in one notebook Before this system existed you needed 20 tabs, hours of manual reading, and no guarantee the answers were real. Now you type one prompt in the terminal and Claude does all of it for you. The research stack of 2026 is not a browser. It is a terminal connected to everything

Claude Code cannot read 300 files at once. So someone built a system that lets it control NotebookLM from the terminal instead. The results are wild. Here is the full workflow nobody is talking about: The Setup → Claude Code connects to NotebookLM via a command line interface → Claude searches YouTube, finds relevant videos, uploads them as sources automatically → NotebookLM processes up to 300 sources simultaneously and returns cited, grounded answers → Everything syncs back into your Obsidian vault with passage-level citations you can click to verify Why This Changes Research Forever → No more 20 browser tabs you never close → No more copy-pasting outputs into random notes → No more hallucinated answers with no sources to back them up → 60% of citations verified as strong matches in accuracy audits - answers are grounded in real data What Claude Can Do From the Terminal → Search YouTube for relevant videos on any topic and rank by relevance → Create a new NotebookLM notebook and add 20 sources in parallel automatically → Ask questions and export cited answers directly into Obsidian with wikilinks → Set custom personas per notebook - concise, no filler, no preamble → Generate audio overviews and save them as MP3 files into your vault → Build mind maps, flashcard decks, and research dashboards from your sources → Search arXiv for academic papers and feed them directly into NotebookLM → Upload competitor blog posts, podcast episodes, PDFs, and your own vault notes The Obsidian Output → Every answer arrives with clickable citations that link to the exact passage in the source video or article → Graph view shows connections between all 20 sources and the topics they share → Q&A log tracks every question asked and the grounded response received → Source dashboard shows citation frequency, topics extracted, and which questions each source answered Use Cases Worth Building Today → Academic research with arXiv papers, full citation traceability → Competitor analysis from their YouTube channels and blog posts → Company knowledge base for onboarding, new employees ask NotebookLM instead of interrupting teammates → Podcast research, feed 4-hour Lex Fridman episodes and ask what's new in AI this week → Personal second brain, 300 daily notes uploaded and queryable in one notebook Before this system existed you needed 20 tabs, hours of manual reading, and no guarantee the answers were real. Now you type one prompt in the terminal and Claude does all of it for you. The research stack of 2026 is not a browser. It is a terminal connected to everything

Dami-Defi

252,693 views • 2 months ago

I just built a 9-page Claude prompt that automatically finds the most profitable faceless YouTube channels 🤯 Comment 'MEGAPROMPT' and I'll send it to you

I just built a 9-page Claude prompt that automatically finds the most profitable faceless YouTube channels 🤯 Comment 'MEGAPROMPT' and I'll send it to you

wannercashcow

31,520 views • 2 months ago

I genuinely don't understand why everyone isn't using this yet. Andrej Karpathy, OpenAI co-founder, posted a simple idea that went massively viral: Stop using AI to write code. Use it to build a second brain. You point Claude Code at a folder. Drop in any source: an article, a transcript, a PDF. Claude reads it, links it, files it into a living wiki of everything you know. It compounds like interest. The more you feed it, the smarter it gets. Here's the whole thing: 1) Install Obsidian 2) Create a vault 3) Open it in Claude Code 4) Paste Karpathy's wiki idea and tell Claude to build it 5) Claude makes three folders: - raw (for sources) - wiki (for its pages) - CLAUDE. md (that runs it) 6) Drop any source into raw and say: "ingest this" 7) Ask questions across everything, forever Five minutes to set up and you never start from a blank chat again. Full step by step guide below.

I genuinely don't understand why everyone isn't using this yet. Andrej Karpathy, OpenAI co-founder, posted a simple idea that went massively viral: Stop using AI to write code. Use it to build a second brain. You point Claude Code at a folder. Drop in any source: an article, a transcript, a PDF. Claude reads it, links it, files it into a living wiki of everything you know. It compounds like interest. The more you feed it, the smarter it gets. Here's the whole thing: 1) Install Obsidian 2) Create a vault 3) Open it in Claude Code 4) Paste Karpathy's wiki idea and tell Claude to build it 5) Claude makes three folders: - raw (for sources) - wiki (for its pages) - CLAUDE. md (that runs it) 6) Drop any source into raw and say: "ingest this" 7) Ask questions across everything, forever Five minutes to set up and you never start from a blank chat again. Full step by step guide below.

CyrilXBT

322,338 views • 1 month ago

This guy built a YouTube channel in 2 weeks. No camera. Zero filming. Thousands of dollars. Here's the exact system he used → → Google Trends finds trending niches → Gemini writes the video ideas → Claude writes the scripts → NotebookLM creates the video for free → Canva + AI makes the thumbnails → CapCut adds B-roll automatically The wild part? His AI avatar converts better than his real face. Save this video, you'll start a channel tonight. Want the SOP? DM me. 💬

Julian Goldie SEO

17,292 views • 7 months ago

Turn any workflow into an agent skill. I built a YC job finder, deployed it as MCP server & connected it to Claude Desktop. It finds matching roles & sends personalized application emails to the recruiter. If you can break a process into steps, this guide will help you automate it:

Turn any workflow into an agent skill. I built a YC job finder, deployed it as MCP server & connected it to Claude Desktop. It finds matching roles & sends personalized application emails to the recruiter. If you can break a process into steps, this guide will help you automate it:

Akshay 🚀

61,867 views • 5 months ago

This is a wild use case! I used Gamma + n8n to automatically generate a complete presentation on AI Agents research. In just minutes! It combines web search (for research), GPT-5 (narrative), and Gamma (for slide content generation). Full workflow breakdown below 👇

This is a wild use case! I used Gamma + n8n to automatically generate a complete presentation on AI Agents research. In just minutes! It combines web search (for research), GPT-5 (narrative), and Gamma (for slide content generation). Full workflow breakdown below 👇

elvis

50,725 views • 9 months ago

This is wild. Nate Herkelman turned n8n.io into a full-blown Research Agent, thanks to 's new /search endpoint! 🤯 His workflow: ↳ search the web by keywords, time and domain ↳ scrape articles ↳ capture all screenshots no code needed! 18-min tutorial in 🧵↓

This is wild. Nate Herkelman turned n8n.io into a full-blown Research Agent, thanks to 's new /search endpoint! 🤯 His workflow: ↳ search the web by keywords, time and domain ↳ scrape articles ↳ capture all screenshots no code needed! 18-min tutorial in 🧵↓

Charly Wargnier

79,607 views • 1 year ago

This is freaking cool NotebookLM just launched its “Deep Research” mode - which can automatically browse hundreds of websites, synthesize the findings into a structured report, and include an annotated list of sources. This means that instead of piecemeal searches and manual organization, users can now let the tool take care of the heavy lifting for in-depth research. NotebookLM is a new version of the notebook. Richtig stark von Google, dass sie NotebookLM regelmäßig weiterentwickeln.

This is freaking cool NotebookLM just launched its “Deep Research” mode - which can automatically browse hundreds of websites, synthesize the findings into a structured report, and include an annotated list of sources. This means that instead of piecemeal searches and manual organization, users can now let the tool take care of the heavy lifting for in-depth research. NotebookLM is a new version of the notebook. Richtig stark von Google, dass sie NotebookLM regelmäßig weiterentwickeln.

Chubby♨️

82,801 views • 9 months ago

A Russian developer just figured out how to learn anything 10x faster. He saved 1,460 hours using 3 tools most people already have. NotebookLM + Gemini + Obsidian. Here is how it works. You dump any source into the system. YouTube videos. Articles. Courses. Podcasts. All of it. The AI strips out every duplicate concept across all your sources. Then it keeps only the information you do not know yet. Think about what that means. 20 YouTube videos on the same topic each one repeating the same 20% of information you already know. This system removes that 80% of noise automatically. What used to take a month of learning compresses into 15 minutes of pure signal. No repetition. No fluff. Just the exact knowledge gap between where you are and where you want to be. This is not a productivity hack. This is a completely different way of consuming information. The people who build this system this week are going to compound their knowledge at a rate that is genuinely unfair compared to everyone still watching the same tutorial for the third time. Full credit to roger_zp@hotmail.com on YouTube. Go watch his breakdown. Then build the system today.

A Russian developer just figured out how to learn anything 10x faster. He saved 1,460 hours using 3 tools most people already have. NotebookLM + Gemini + Obsidian. Here is how it works. You dump any source into the system. YouTube videos. Articles. Courses. Podcasts. All of it. The AI strips out every duplicate concept across all your sources. Then it keeps only the information you do not know yet. Think about what that means. 20 YouTube videos on the same topic each one repeating the same 20% of information you already know. This system removes that 80% of noise automatically. What used to take a month of learning compresses into 15 minutes of pure signal. No repetition. No fluff. Just the exact knowledge gap between where you are and where you want to be. This is not a productivity hack. This is a completely different way of consuming information. The people who build this system this week are going to compound their knowledge at a rate that is genuinely unfair compared to everyone still watching the same tutorial for the third time. Full credit to [email protected] on YouTube. Go watch his breakdown. Then build the system today.

CyrilXBT

49,125 views • 4 months ago

I used to think going viral was unpredictable. It isn’t. It’s structured. One idea. A few minutes. A clear system. With NemoVideo integrating Seedance 2.0, the workflow feels different. This is the exact outcome built from that process 👇

I used to think going viral was unpredictable. It isn’t. It’s structured. One idea. A few minutes. A clear system. With NemoVideo integrating Seedance 2.0, the workflow feels different. This is the exact outcome built from that process 👇

Theo Builds AI

105,585 views • 5 months ago

last week I talked about claude code being my video editor, but it was only a small 30 second clip - here is my FULL workflow on how i have claude code edit ~30 minutes of raw video into a tight 10 minutes it uses STT for captions, then uses remotion to add the captions & cut!

last week I talked about claude code being my video editor, but it was only a small 30 second clip - here is my FULL workflow on how i have claude code edit ~30 minutes of raw video into a tight 10 minutes it uses STT for captions, then uses remotion to add the captions & cut!

BOOTOSHI 👑

14,107 views • 6 months ago

This is wild.. 🤯 I just built BananaBlink using Blink AI, a full SaaS that lets anyone upload a photo and turn it into the Nano Banana trend. It’s not a demo, it’s a fully working startup... Reply "Banana," and I will DM it to you. Here is how it works + workflow:

This is wild.. 🤯 I just built BananaBlink using Blink AI, a full SaaS that lets anyone upload a photo and turn it into the Nano Banana trend. It’s not a demo, it’s a fully working startup... Reply "Banana," and I will DM it to you. Here is how it works + workflow:

Hamza Khalid

36,313 views • 9 months ago

I wish it existed when I was doing PhD. It’d have saved me hours in literature reviews. Here is the FASTEST way to get a COMPLETE overview of any research field. 1. Go to 2. Type your research topic in one sentence 3. Review the structured plan Noah builds 4. Tweak or approve the structured plan 4. Watch it run: ✦ Database searches ✦ Clinical trial analysis, ✦ Web + medical literature deep dives ✦ And full verification 5. In 10 minutes, get a comprehensive, structured report with accurate in-text citations What you get: → A structured research plan you control before execution → Searches across PubMed, clinical trial registries, FDA, NIH, and more → Clinical data analyzed and cross-verified automatically → A full field overview, competitive landscape, drug pipelines, key findings → In-text citations from trusted sources, no hallucinations Try Noah AI today for FREE:

I wish it existed when I was doing PhD. It’d have saved me hours in literature reviews. Here is the FASTEST way to get a COMPLETE overview of any research field. 1. Go to 2. Type your research topic in one sentence 3. Review the structured plan Noah builds 4. Tweak or approve the structured plan 4. Watch it run: ✦ Database searches ✦ Clinical trial analysis, ✦ Web + medical literature deep dives ✦ And full verification 5. In 10 minutes, get a comprehensive, structured report with accurate in-text citations What you get: → A structured research plan you control before execution → Searches across PubMed, clinical trial registries, FDA, NIH, and more → Clinical data analyzed and cross-verified automatically → A full field overview, competitive landscape, drug pipelines, key findings → In-text citations from trusted sources, no hallucinations Try Noah AI today for FREE:

Faheem Ullah

11,980 views • 1 month ago

This guy literally built an ENTIRE operating system with Claude Code 🤯 now he is showing you exactly how. he dropped a 2+ hour masterclass *AND* a guide on the frameworks and included a free GitHub repo to get you coding right away. you seriously need to check this out 👇

This guy literally built an ENTIRE operating system with Claude Code 🤯 now he is showing you exactly how. he dropped a 2+ hour masterclass AND a guide on the frameworks and included a free GitHub repo to get you coding right away. you seriously need to check this out 👇

Charly Wargnier

167,939 views • 3 months ago

Fable 5 and Karpathy's knowledge base trick are basically a cheat code. Someone just dropped a full walkthrough on building the most powerful second brain ever Andrej Karpathy shared a simple idea: use an LLM to build personal knowledge bases. Index your sources, let the model organize them, and use Obsidian as the front end. Someone just built the full thing with Claude Code and Fable 5, and walked through every step You drop your sources into a folder (YouTube transcripts, PDFs, articles, meeting notes) and Claude Code reads them, splits them into linked wiki pages, and builds a living second brain that connects everything. It grows on its own as you add more. Where Fable 5 pulls ahead: it found a connection buried across two sources you'd miss reading them separately. And asked to turn the messy web of links into something a beginner could understand, it produced clean, simple HTML in one shot. The same task took a full day on Opus 4.8 and came out worse. The best part: it's all just markdown files with routing. So it's not locked to Claude Code. Plug it into Codex or any agent you want. Give your AI a real knowledge base, and it stops guessing and starts knowing. Bookmark this.

Fable 5 and Karpathy's knowledge base trick are basically a cheat code. Someone just dropped a full walkthrough on building the most powerful second brain ever Andrej Karpathy shared a simple idea: use an LLM to build personal knowledge bases. Index your sources, let the model organize them, and use Obsidian as the front end. Someone just built the full thing with Claude Code and Fable 5, and walked through every step You drop your sources into a folder (YouTube transcripts, PDFs, articles, meeting notes) and Claude Code reads them, splits them into linked wiki pages, and builds a living second brain that connects everything. It grows on its own as you add more. Where Fable 5 pulls ahead: it found a connection buried across two sources you'd miss reading them separately. And asked to turn the messy web of links into something a beginner could understand, it produced clean, simple HTML in one shot. The same task took a full day on Opus 4.8 and came out worse. The best part: it's all just markdown files with routing. So it's not locked to Claude Code. Plug it into Codex or any agent you want. Give your AI a real knowledge base, and it stops guessing and starts knowing. Bookmark this.

Shadow Nick

47,058 views • 1 month ago

WHAT?!? 🤯 I asked Claude to build me an all in one AI Operating System for working with Claude Code. An hour later here we are... → Full ability to chat with Claude Code → Markdown file browser/editor built right in I've been using VS Code but there is a lot that I just don't need. I'm a knowledge worker, not a developer. So I guess I just built an IDE for knowledge workers? Now we're building: → Voice Mode (ability to switch to voice conversations) → Cron Job Management - so I can manage all the automated processes we have running → Ability to switch to different agents (currently I just have one... my AI Cos, Chad)

WHAT?!? 🤯 I asked Claude to build me an all in one AI Operating System for working with Claude Code. An hour later here we are... → Full ability to chat with Claude Code → Markdown file browser/editor built right in I've been using VS Code but there is a lot that I just don't need. I'm a knowledge worker, not a developer. So I guess I just built an IDE for knowledge workers? Now we're building: → Voice Mode (ability to switch to voice conversations) → Cron Job Management - so I can manage all the automated processes we have running → Ability to switch to different agents (currently I just have one... my AI Cos, Chad)

⚡️ Ev Chapman 🚢 | Creative Entrepreneur

38,577 views • 4 months ago

You can just tell Claude Code to learn skills and it will. I asked Claude to create an app that uses tldraw and it one shotted it with sqlite db, and then I asked Claude Code to create a skill so that it could read and write on the canvas. 10 minutes later it could do it. Weirrrrdddd times.

You can just tell Claude Code to learn skills and it will. I asked Claude to create an app that uses tldraw and it one shotted it with sqlite db, and then I asked Claude Code to create a skill so that it could read and write on the canvas. 10 minutes later it could do it. Weirrrrdddd times.

Riley Brown

73,418 views • 8 months ago

GARRY TAN PUBLISHED HIS PERSONAL CLAUDE CODE SETUP ON GITHUB. IT HIT 108,000 STARS AND AN 18 YEAR OLD WON A HACKATHON BUILDING A FULL GAME IN 2 HOURS the repo is called gstack. the president of y combinator open sourced his claude code workflow with 23 structured skills most developers treat claude code like smart autocomplete. gstack turns it into a full pipeline for product thinking, architecture, design, qa and docs an 18 year old from bishkek used it to win the cursor hackathon. he built a multiplayer game with computer vision in 1 hour 45 minutes install is 3 commands. git clone the repo, run setup, add the skills to your claude.md. then call /office-hours, /plan-eng-review, /qa, /ship gbrain gives claude persistent memory between sessions. developers report saving 3 to 5 hours a day on routine work bookmark this and read the article below

GARRY TAN PUBLISHED HIS PERSONAL CLAUDE CODE SETUP ON GITHUB. IT HIT 108,000 STARS AND AN 18 YEAR OLD WON A HACKATHON BUILDING A FULL GAME IN 2 HOURS the repo is called gstack. the president of y combinator open sourced his claude code workflow with 23 structured skills most developers treat claude code like smart autocomplete. gstack turns it into a full pipeline for product thinking, architecture, design, qa and docs an 18 year old from bishkek used it to win the cursor hackathon. he built a multiplayer game with computer vision in 1 hour 45 minutes install is 3 commands. git clone the repo, run setup, add the skills to your claude.md. then call /office-hours, /plan-eng-review, /qa, /ship gbrain gives claude persistent memory between sessions. developers report saving 3 to 5 hours a day on routine work bookmark this and read the article below

starmex

94,887 views • 2 months ago

Used Karpathy's LLM Wiki to turn Claude Code into a self-evolving system. Fed it my frontend & CRM sources, and it built a fully updating dashboard with Shadcn packages and constantly improving and linking everything for smarter outputs! Full setup video:

Used Karpathy's LLM Wiki to turn Claude Code into a self-evolving system. Fed it my frontend & CRM sources, and it built a fully updating dashboard with Shadcn packages and constantly improving and linking everything for smarter outputs! Full setup video:

WorldofAI

133,481 views • 4 months ago