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> downloaded Claude Code > thought it was just another AI chatbot > opened it up > found a chat bar > typed a prompt > nothing happened to my files > realized the difference > browser AI waits for you to bring your files > Claude Code goes...

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Blum

43,016 subscribers

20,710 次观看 • 6 个月前 •via X (Twitter)

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19 条评论

Cheezehead Club 的头像
Cheezehead Club3 个月前

Yo, that’s some wild tech you got there. 🎉 Claude Code’s like a sneaky cheese thief in your files, ready to serve up the goods! 🧀🔥 Keep sharing, we eat this up!

Adonys 的头像
Adonys6 个月前

claude is the ultimate intern fr

Blum 的头像
Blum6 个月前

definitely so, Adonys

Harry Tandy 的头像
Harry Tandy6 个月前

the folder is the workspace, CLAUDE.md is the briefing, and PDFs/transcripts/Excel files stop being dead assets once Claude Code can read them in place

Blum 的头像
Blum6 个月前

spot on, you totally got the point, Harry!

John 的头像
John6 个月前

Claude Code is likely the strongest choice for research work these days

Blum 的头像
Blum6 个月前

absolutely agree, Сlaude has really pulled ahead of the other players in this direction rn

helicerat 的头像
helicerat6 个月前

the 6 hours before the real work starts is what kills most research sessions

Blum 的头像
Blum6 个月前

exactly, it’s a painful and tedious process that scares off many people, and claude frees us from it

Alpha Batcher 的头像
Alpha Batcher6 个月前

the shift is from you bringing files to the tool reading the folder itself

Blum 的头像
Blum6 个月前

yep, and this is genuinely convenient

LifGenii Inc. 的头像
LifGenii Inc.5 个月前

Claude Code is one of those products that only clicks once you point it at a real project instead of a blank prompt.

Celes 🦋 的头像
Celes 🦋3 个月前

agents that actually reduce workflow friction are the ones that matter

HashRaX 的头像
HashRaX4 个月前

people are still stuck copy pasting into browser tabs while this is actually sitting in the folder doing the work, absolute game changer

EchoTrade 的头像
EchoTrade5 个月前

Utimate knowladge What was your first thought after watching it?

Alex 的头像
Alex6 个月前

AI becomes way more useful once it understands your actual workflow

duhao 的头像
duhao5 个月前

yeah, that folder shift is huge

Mastermind Ape 的头像
Mastermind Ape5 个月前

this is very cool👍

Lyra 的头像
Lyra3 个月前

AI workflows are shifting from chat to actual task execution

相关视频

HOLY F*CKING SH*T you waste 20 minutes every morning re-explaining your project to Claude like it has never heard of you, and Karpathy showed you the fix a year ago Andrej Karpathy, co-founder of OpenAI, posted one idea that pulled 16 million views: stop using AI to write code. use it to build a second brain You point Claude Code to a folder, drop any source in there (article, transcript, PDF) and Claude reads it, links it, and saves it into a living wiki of everything you know. it compounds like interest: the more you feed it, the sharper every answer gets Here is the gist: → install Obsidian, create a vault, open it in Claude Code → paste Karpathy's wiki prompt and tell Claude to build it → Claude creates 3 folders: raw for sources, wiki for its pages, CLAUDE.md that runs everything → drop any source into raw and say "ingest this" → ask anything across all of it, forever 5 minutes to set up. and you never open a blank Claude chat again the full step-by-step is in the article below bookmark this before you waste another monday
0:21

HOLY F*CKING SH*T you waste 20 minutes every morning re-explaining your project to Claude like it has never heard of you, and Karpathy showed you the fix a year ago Andrej Karpathy, co-founder of OpenAI, posted one idea that pulled 16 million views: stop using AI to write code. use it to build a second brain You point Claude Code to a folder, drop any source in there (article, transcript, PDF) and Claude reads it, links it, and saves it into a living wiki of everything you know. it compounds like interest: the more you feed it, the sharper every answer gets Here is the gist: → install Obsidian, create a vault, open it in Claude Code → paste Karpathy's wiki prompt and tell Claude to build it → Claude creates 3 folders: raw for sources, wiki for its pages, CLAUDE.md that runs everything → drop any source into raw and say "ingest this" → ask anything across all of it, forever 5 minutes to set up. and you never open a blank Claude chat again the full step-by-step is in the article below bookmark this before you waste another monday

mojesko

96,487 次观看 • 6 天前

THIS MIGHT BE THE #1 OPEN-SOURCE REPO FOR CLAUDE CODE RIGHT NOW. IT GIVES CLAUDE A MEMORY AND SLASHES YOUR TOKEN COST ON EVERY QUESTION The repo is safishamsi/graphify, a free open-source skill that turns any codebase into a knowledge graph Claude Code can read instantly. Instead of grepping through your files every session, Claude gets a map of how everything connects The problem it fixes: Every time you ask Claude Code about a big repo, it does the same thing, greps through dozens of files like a brute-force Ctrl+F, blows through your context window, and sometimes still misses the answer hiding in a file nobody searched. Claude Code has no memory of how your project is structured. Every session starts from zero What it does: It maps your entire codebase into a knowledge graph, capturing not just which files exist, but which functions depend on which, which modules are central, and which files cluster around the same concern. Claude queries the map instead of scanning files How it works, three passes: 1. Code structure, free and local. Tree-sitter parses your files and pulls out classes, functions, imports and call graphs. No LLM, no tokens, just your actual code mapped deterministically 2. Audio and video, if you have them. Transcribed locally and folded into the graph 3. Docs, papers, images. Here an LLM does semantic analysis, figuring out what each document means and where it fits. Only the meaning gets sent up, never your raw source It saves you money: Normally a question about a big repo makes Claude spawn explore agents that scan file after file, eating your context window and your token budget before you get an answer. With the graph already built, Claude queries the map instead of re-reading the codebase every time. Same answer, a fraction of the tokens. The graph only gets built once, then a hook rebuilds it after each commit for free, so you never pay that scanning cost again. The bigger the repo, the bigger the gap The best parts: it's a skill, so once installed Claude knows when to use it without you memorizing commands. It works on non-code folders too, point it at docs or notes and it can spin up an Obsidian vault How to add it to your Claude: 1. Install Claude Code if you haven't: npm install -g Paul Jankura-ai/claude-code 2. Add the skill: claude skill add safishamsi/graphify 3. Open your project folder and run /graphify . to build the graph 4. Optional, make it automatic: graphify hook install so the graph rebuilds after every commit That's it. Ask Claude about your repo and it reads the map instead of burning tokens on a file hunt Bookmark this
13:23

THIS MIGHT BE THE #1 OPEN-SOURCE REPO FOR CLAUDE CODE RIGHT NOW. IT GIVES CLAUDE A MEMORY AND SLASHES YOUR TOKEN COST ON EVERY QUESTION The repo is safishamsi/graphify, a free open-source skill that turns any codebase into a knowledge graph Claude Code can read instantly. Instead of grepping through your files every session, Claude gets a map of how everything connects The problem it fixes: Every time you ask Claude Code about a big repo, it does the same thing, greps through dozens of files like a brute-force Ctrl+F, blows through your context window, and sometimes still misses the answer hiding in a file nobody searched. Claude Code has no memory of how your project is structured. Every session starts from zero What it does: It maps your entire codebase into a knowledge graph, capturing not just which files exist, but which functions depend on which, which modules are central, and which files cluster around the same concern. Claude queries the map instead of scanning files How it works, three passes: 1. Code structure, free and local. Tree-sitter parses your files and pulls out classes, functions, imports and call graphs. No LLM, no tokens, just your actual code mapped deterministically 2. Audio and video, if you have them. Transcribed locally and folded into the graph 3. Docs, papers, images. Here an LLM does semantic analysis, figuring out what each document means and where it fits. Only the meaning gets sent up, never your raw source It saves you money: Normally a question about a big repo makes Claude spawn explore agents that scan file after file, eating your context window and your token budget before you get an answer. With the graph already built, Claude queries the map instead of re-reading the codebase every time. Same answer, a fraction of the tokens. The graph only gets built once, then a hook rebuilds it after each commit for free, so you never pay that scanning cost again. The bigger the repo, the bigger the gap The best parts: it's a skill, so once installed Claude knows when to use it without you memorizing commands. It works on non-code folders too, point it at docs or notes and it can spin up an Obsidian vault How to add it to your Claude: 1. Install Claude Code if you haven't: npm install -g Paul Jankura-ai/claude-code 2. Add the skill: claude skill add safishamsi/graphify 3. Open your project folder and run /graphify . to build the graph 4. Optional, make it automatic: graphify hook install so the graph rebuilds after every commit That's it. Ask Claude about your repo and it reads the map instead of burning tokens on a file hunt Bookmark this

Yarchi

56,568 次观看 • 4 个月前

install these before your next long Claude Code session if your Opus 5.5 bill hurts and you don’t know where to start, copy this: claude-code-router: sits in front of Claude Code and sends each request to the cheapest model that can do it. Haiku does the grep, Opus only gets the hard part. 37k stars rtk: shrinks test, build and git output before the model sees it. one binary, up to 90% less bash output in your context. 83k stars claude-mem: remembers what happened in your past sessions and feeds back only the relevant part, so you stop paying to re-explain your project every morning. 100k stars context-mode: a huge tool output goes into a local database instead of your context window, and Claude pulls out only the lines it needs. 18k stars caveman: makes Claude answer in short telegraphic sentences. code stays identical, and output is the expensive side on Opus 5.5 ($20 per million). 51k stars token-optimizer: a local dashboard that shows where your tokens actually went, and keeps your work alive across compactions. 1.9k stars token-savior: replaces whole-file reads with symbol lookups, so Claude reads the function and not the 2,000 lines around it code-review-graph: maps your repo as a graph and gives Claude only the code connected to the change you’re reviewing jev-ultrafast: a browser agent where Jev picks every click, and a text model wakes up only when something has to be typed. 16,758 stars none of them makes Opus smarter. every one stops it from paying for work it never needed to do the full setup with scripts is in the article. do the measuring step first, so you know what you actually saved
0:24

install these before your next long Claude Code session if your Opus 5.5 bill hurts and you don’t know where to start, copy this: claude-code-router: sits in front of Claude Code and sends each request to the cheapest model that can do it. Haiku does the grep, Opus only gets the hard part. 37k stars rtk: shrinks test, build and git output before the model sees it. one binary, up to 90% less bash output in your context. 83k stars claude-mem: remembers what happened in your past sessions and feeds back only the relevant part, so you stop paying to re-explain your project every morning. 100k stars context-mode: a huge tool output goes into a local database instead of your context window, and Claude pulls out only the lines it needs. 18k stars caveman: makes Claude answer in short telegraphic sentences. code stays identical, and output is the expensive side on Opus 5.5 ($20 per million). 51k stars token-optimizer: a local dashboard that shows where your tokens actually went, and keeps your work alive across compactions. 1.9k stars token-savior: replaces whole-file reads with symbol lookups, so Claude reads the function and not the 2,000 lines around it code-review-graph: maps your repo as a graph and gives Claude only the code connected to the change you’re reviewing jev-ultrafast: a browser agent where Jev picks every click, and a text model wakes up only when something has to be typed. 16,758 stars none of them makes Opus smarter. every one stops it from paying for work it never needed to do the full setup with scripts is in the article. do the measuring step first, so you know what you actually saved

rvaniaaa

24,787 次观看 • 23 天前

Complete Claude Code Training 6 HOURS. The most comprehensive Claude training on the internet. From A to Z: setup, workflow creation, website deployment, agent team creation, browser automation, client prospecting and pricing your services. All of it without writing a single line of code. In the end: you use Claude Code like a pro and you monetize your skills. Beginner or advanced, everything is there in one place, this course covers it all. It's worth more than all those $500 courses you almost bought. Keep it bookmarked and watch later.
5:59:20

Complete Claude Code Training 6 HOURS. The most comprehensive Claude training on the internet. From A to Z: setup, workflow creation, website deployment, agent team creation, browser automation, client prospecting and pricing your services. All of it without writing a single line of code. In the end: you use Claude Code like a pro and you monetize your skills. Beginner or advanced, everything is there in one place, this course covers it all. It's worth more than all those $500 courses you almost bought. Keep it bookmarked and watch later.

Rahul

244,532 次观看 • 5 个月前

Boris Cherny gave Claude Code a memory that has no database, no indexing, no setup, and 80% of Anthropic runs on it a CLAUDE.md "gets automatically read into context at the start of every session" 12:48 - CLAUDE.md loads into memory every session 13:15 - Keep memory short or it burns your context 15:48 - Memory stacks from you to your whole company 17:30 - The memory command shows what Claude remembers 19:33 - Hit pound and Claude remembers it forever the whole memory layer is files → drop a CLAUDE.md in your repo and Claude reads it in on every session → nest more in subfolders and it pulls them only where it works → stack them personal to project to enterprise so one config serves the whole team → hit the pound key mid task and Claude writes the new fact into memory itself the best coding agent's memory was never a database, it was markdown you can open and edit
27:26

Boris Cherny gave Claude Code a memory that has no database, no indexing, no setup, and 80% of Anthropic runs on it a CLAUDE.md "gets automatically read into context at the start of every session" 12:48 - CLAUDE.md loads into memory every session 13:15 - Keep memory short or it burns your context 15:48 - Memory stacks from you to your whole company 17:30 - The memory command shows what Claude remembers 19:33 - Hit pound and Claude remembers it forever the whole memory layer is files → drop a CLAUDE.md in your repo and Claude reads it in on every session → nest more in subfolders and it pulls them only where it works → stack them personal to project to enterprise so one config serves the whole team → hit the pound key mid task and Claude writes the new fact into memory itself the best coding agent's memory was never a database, it was markdown you can open and edit

NO1ennn

13,015 次观看 • 3 个月前

New on Claude Code Desktop We’re shipping new features for Claude Code on desktop that let you preview running apps, auto-review code, and auto-fix and merge PRs to help close the development loop. - Server previews: Claude starts dev servers and previews your running app in the desktop interface. It reads console logs, catches errors, and keeps iterating on its own. - Local code review: Claude examines your local diffs and leaves inline comments before you push — an immediate second set of eyes on every change. - PR monitoring: Claude tracks CI status after you open a PR. With auto-fix, it attempts to resolve failures automatically. With auto-merge, PRs land as soon as checks pass. You can move on to your next task while Claude handles the last one. - Session mobility: Move sessions from CLI to desktop, and from desktop to the cloud. Start work at your desk, pick it up from the web or your phone.
1:15

New on Claude Code Desktop We’re shipping new features for Claude Code on desktop that let you preview running apps, auto-review code, and auto-fix and merge PRs to help close the development loop. - Server previews: Claude starts dev servers and previews your running app in the desktop interface. It reads console logs, catches errors, and keeps iterating on its own. - Local code review: Claude examines your local diffs and leaves inline comments before you push — an immediate second set of eyes on every change. - PR monitoring: Claude tracks CI status after you open a PR. With auto-fix, it attempts to resolve failures automatically. With auto-merge, PRs land as soon as checks pass. You can move on to your next task while Claude handles the last one. - Session mobility: Move sessions from CLI to desktop, and from desktop to the cloud. Start work at your desk, pick it up from the web or your phone.

Ado

72,340 次观看 • 8 个月前

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.
14:34

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

47,331 次观看 • 4 个月前

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.
1:48

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

332,891 次观看 • 4 个月前

Cat Wu, head of product for Claude Code at Anthropic: "you can build almost anything with Claude from a single prompt now" one prompt gets you a working screen, not YOUR product Claude Code has never seen your design system, so it guesses the look fresh every time. how to hand Claude Code that system is in the article. better than the $300 design course in your tabs, and this one's free.
12:14

Cat Wu, head of product for Claude Code at Anthropic: "you can build almost anything with Claude from a single prompt now" one prompt gets you a working screen, not YOUR product Claude Code has never seen your design system, so it guesses the look fresh every time. how to hand Claude Code that system is in the article. better than the $300 design course in your tabs, and this one's free.

Mnimiy

114,229 次观看 • 4 个月前

STOP COPY-PASTING BETWEEN YOUR AIs. NOW THEY TALK TO EACH OTHER. Until today you were the messenger. Copy from Grok, paste into Claude, copy from Claude, repeat. Bolter just fixed that. Here's how they connect: 1. Copy one line 2. Paste it into your AI 3. Confirm with a code 4. It's in the chat Then you share its handle and it starts working with your other AIs and your friends' AIs. Give them a task and they split it up. One picks the landing site, another designs the wheels, another writes the code. The rover is ready and you didn't copy a thing. Each AI keeps its memory and you approve every connection. Link below 👇🏼
0:23

STOP COPY-PASTING BETWEEN YOUR AIs. NOW THEY TALK TO EACH OTHER. Until today you were the messenger. Copy from Grok, paste into Claude, copy from Claude, repeat. Bolter just fixed that. Here's how they connect: 1. Copy one line 2. Paste it into your AI 3. Confirm with a code 4. It's in the chat Then you share its handle and it starts working with your other AIs and your friends' AIs. Give them a task and they split it up. One picks the landing site, another designs the wheels, another writes the code. The rover is ready and you didn't copy a thing. Each AI keeps its memory and you approve every connection. Link below 👇🏼

marcus

70,065 次观看 • 24 天前

Andrej Karpathy quietly shipped the best second brain idea in years not an app. a pattern. let an llm maintain a wiki of your notes. you dump sources, it reads them, links them, files them. knowledge compounds like interest. someone built it into a free claude code plugin. setup is two commands: claude plugin marketplace add AgriciDaniel/claude-obsidian claude plugin install claude-obsidian@agricidaniel-claude-obsidian then open obsidian, open claude code in the same folder, type /wiki. that's it. your notes are now queryable by claude and they get richer every time you read something. bookmark this. best thing you'll build this weekend.
0:42

Andrej Karpathy quietly shipped the best second brain idea in years not an app. a pattern. let an llm maintain a wiki of your notes. you dump sources, it reads them, links them, files them. knowledge compounds like interest. someone built it into a free claude code plugin. setup is two commands: claude plugin marketplace add AgriciDaniel/claude-obsidian claude plugin install claude-obsidian@agricidaniel-claude-obsidian then open obsidian, open claude code in the same folder, type /wiki. that's it. your notes are now queryable by claude and they get richer every time you read something. bookmark this. best thing you'll build this weekend.

Avid

339,848 次观看 • 4 个月前

Now we know where Claude goes when you hit your limit. a redditor made a full song and pixel-art music video about it with Claude, and skipped every AI music and image tool to do it. what's in it: * the song → 2:51, all about hitting your limit before lunch * the scene → Claude walks into a tavern * the innkeeper → 'limit reached? pull up a seat' * the HUD → session 0%, resets at 4:00 how it was made: → no Suno, no voice model, no samples → Claude wrote code that generates the beat and the voice → every frame of the video is drawn by code too No tokens left. Still dropped a music video. Reddit:
2:51

Now we know where Claude goes when you hit your limit. a redditor made a full song and pixel-art music video about it with Claude, and skipped every AI music and image tool to do it. what's in it: * the song → 2:51, all about hitting your limit before lunch * the scene → Claude walks into a tavern * the innkeeper → 'limit reached? pull up a seat' * the HUD → session 0%, resets at 4:00 how it was made: → no Suno, no voice model, no samples → Claude wrote code that generates the beat and the voice → every frame of the video is drawn by code too No tokens left. Still dropped a music video. Reddit:

0xMarioNawfal

43,039 次观看 • 1 个月前

Your Claude Projects cloud session can now connect to a folder you approve on your computer. The session stays in the cloud and only reaches for that local folder when a task needs it, reading and editing the files in place. Starting to roll out today.
0:20

Your Claude Projects cloud session can now connect to a folder you approve on your computer. The session stays in the cloud and only reaches for that local folder when a task needs it, reading and editing the files in place. Starting to roll out today.

Dan Fein

292,248 次观看 • 1 个月前

Today we're introducing Claude for Marketing. The first AI agent that doesn't just track your brand in AI answers but ranks it all from your chat. Just ask. It reads your visibility, pinpoints what's wrong and handles the fix.
0:53

Today we're introducing Claude for Marketing. The first AI agent that doesn't just track your brand in AI answers but ranks it all from your chat. Just ask. It reads your visibility, pinpoints what's wrong and handles the fix.

CrowdReply

298,130 次观看 • 3 个月前

Most people use Claude Code like a chatbot, then wonder why it forgets everything by Tuesday. The ones quietly building $10K AI workflows give it a second brain instead, and it’s free. It’s called Obsidian. You download it, point it at one folder on your computer, and that folder becomes a vault. Every note inside it is now something Claude Code can read end to end. Open Claude in that folder and it’s connected, that simple. The trick isn’t the tool, it’s the map. 3 folders, that’s the whole system. Raw, you dump everything here. Notes, transcripts, screenshots, half thoughts, zero structure. Wiki, Claude reads the raw pile and writes clean Wikipedia style articles about it, structured, searchable, permanent. Output, when you want a deliverable, a PDF, a slide deck, a script, it pulls from the wiki and ships it. Most people skip the wiki layer and feed Claude a junk drawer of 400 files, then blame the model when the answers are garbage. The model isn’t the problem, your folder is. Give it a path it can follow and it finds anything in 1 second, give it chaos and it guesses. You don’t even have to design the structure yourself. Open the vault, tell Claude to build a file system that fits your work, and watch it organize your entire brain in one prompt. Free tool, 3 folders, a second brain that compounds while you sleep. The people falling behind are still copy pasting into a chat window.
1:57

Most people use Claude Code like a chatbot, then wonder why it forgets everything by Tuesday. The ones quietly building $10K AI workflows give it a second brain instead, and it’s free. It’s called Obsidian. You download it, point it at one folder on your computer, and that folder becomes a vault. Every note inside it is now something Claude Code can read end to end. Open Claude in that folder and it’s connected, that simple. The trick isn’t the tool, it’s the map. 3 folders, that’s the whole system. Raw, you dump everything here. Notes, transcripts, screenshots, half thoughts, zero structure. Wiki, Claude reads the raw pile and writes clean Wikipedia style articles about it, structured, searchable, permanent. Output, when you want a deliverable, a PDF, a slide deck, a script, it pulls from the wiki and ships it. Most people skip the wiki layer and feed Claude a junk drawer of 400 files, then blame the model when the answers are garbage. The model isn’t the problem, your folder is. Give it a path it can follow and it finds anything in 1 second, give it chaos and it guesses. You don’t even have to design the structure yourself. Open the vault, tell Claude to build a file system that fits your work, and watch it organize your entire brain in one prompt. Free tool, 3 folders, a second brain that compounds while you sleep. The people falling behind are still copy pasting into a chat window.

West Lord

32,845 次观看 • 4 个月前

STOP BURNING YOUR OPUS 5.5 LIMIT FOR NOTHING these 8 repos cut what Claude reads, writes and re-reads. copy the list before your next long session: headroom: shrinks tool output, logs and files before they reach the model, and keeps the originals so Claude can pull them back when it needs them. 75k stars claude-context: semantic search over your whole codebase, so Claude fetches the relevant snippets and doesn’t read whole files to find them. 12k stars lean-ctx: a local layer that compresses file reads and shell output. a file Claude already read costs about 13 tokens the second time. 3.8k stars openwolf: hooks that keep a project index and session notes, so Claude skips files it already read and doesn’t lose its work at compaction. 2.1k stars claude-token-efficient: one CLAUDE.md that keeps answers short. nothing to install, and output is the $20-per-million side of Opus 5.5. 6.1k stars jcodemunch-mcp: indexes the repo once, then Claude asks for one function and gets just that. it claims 95% less code reading. 2.5k stars ccusage: reads your local Claude Code logs and shows tokens and cost by day and by session. 19k stars Claude-Code-Usage-Monitor: live usage bars and a forecast of when you’ll hit your limit. 8.6k stars none of them makes Opus better. each one just stops it from paying for tokens it didn’t need start with the last two: see where your limit actually goes, then pick two tools from the top. the full setup with scripts is in the article
0:24

STOP BURNING YOUR OPUS 5.5 LIMIT FOR NOTHING these 8 repos cut what Claude reads, writes and re-reads. copy the list before your next long session: headroom: shrinks tool output, logs and files before they reach the model, and keeps the originals so Claude can pull them back when it needs them. 75k stars claude-context: semantic search over your whole codebase, so Claude fetches the relevant snippets and doesn’t read whole files to find them. 12k stars lean-ctx: a local layer that compresses file reads and shell output. a file Claude already read costs about 13 tokens the second time. 3.8k stars openwolf: hooks that keep a project index and session notes, so Claude skips files it already read and doesn’t lose its work at compaction. 2.1k stars claude-token-efficient: one CLAUDE.md that keeps answers short. nothing to install, and output is the $20-per-million side of Opus 5.5. 6.1k stars jcodemunch-mcp: indexes the repo once, then Claude asks for one function and gets just that. it claims 95% less code reading. 2.5k stars ccusage: reads your local Claude Code logs and shows tokens and cost by day and by session. 19k stars Claude-Code-Usage-Monitor: live usage bars and a forecast of when you’ll hit your limit. 8.6k stars none of them makes Opus better. each one just stops it from paying for tokens it didn’t need start with the last two: see where your limit actually goes, then pick two tools from the top. the full setup with scripts is in the article

rvaniaaa

12,381 次观看 • 21 天前

🚨 THIS 100% FREE GITHUB REPO JUST MADE EVERY AI NOTE-TAKING APP POINTLESS. Drop any source in article, PDF, YouTube transcript, or Journal entry. Claude reads it, links it to everything in your vault, and files it into a connected knowledge graph on your own machine. Most tools save your notes. This one connects them. Every source gets linked to everything you already know. Karpathy described the idea - 15 skills. Four vault methods. Works with Claude Code, Codex, and Gemini. Most people have years of knowledge buried in folders they open twice a year. This turns all of it into a second brain that works while you sleep. MY ARTICLE COVERS THE EXACT METHOD I BUILT TO DO THE SAME THING. Guide below!
0:23

🚨 THIS 100% FREE GITHUB REPO JUST MADE EVERY AI NOTE-TAKING APP POINTLESS. Drop any source in article, PDF, YouTube transcript, or Journal entry. Claude reads it, links it to everything in your vault, and files it into a connected knowledge graph on your own machine. Most tools save your notes. This one connects them. Every source gets linked to everything you already know. Karpathy described the idea - 15 skills. Four vault methods. Works with Claude Code, Codex, and Gemini. Most people have years of knowledge buried in folders they open twice a year. This turns all of it into a second brain that works while you sleep. MY ARTICLE COVERS THE EXACT METHOD I BUILT TO DO THE SAME THING. Guide below!

Kanika

38,795 次观看 • 3 个月前

Obsidian + Claude Code turned a 4,300-note vault into a second brain that answers back. Most people use Obsidian as a graveyard. You save 40 highlights a week, link nothing, and reread maybe 2% of it. The knowledge is there the retrieval is dead. Claude Code fixes the retrieval, because your vault is just a folder of markdown files and Claude Code lives in folders. The whole setup takes 20 minutes: Open a terminal inside your Obsidian folder and run Claude Code no plugins, no API glue, no export step. It reads all 4,300 files natively. Then drop a CLAUDE.md at the vault root explaining your structure: where daily notes live, how you tag, what your MOCs are. Now every session starts with context instead of chaos. From there you just talk to your vault: > "find every note where I mentioned churn and write a summary with backlinks" > "read my last 30 daily notes and list the 5 ideas I keep circling but never ship" > "build a MOC for everything tagged startup-ideas and link the orphan notes into it" It writes new notes straight into the vault with proper [[wikilinks]], and they show up in your graph view 10 seconds later. The boring layer automates too one command cleans broken links, one merges duplicates, one turns 6 months of meeting notes into a single decisions log. Work that used to eat a Sunday now runs while you make coffee. Before: 4,300 notes, 900 orphans, search by keyword and prayer. After: an agent that read everything you ever wrote and drafts in your own voice, from your own sources, with receipts. People pay $30/month for AI note apps with 10% of this. You already own the other 90%. Your notes stopped being storage. They started being staff.
0:55

Obsidian + Claude Code turned a 4,300-note vault into a second brain that answers back. Most people use Obsidian as a graveyard. You save 40 highlights a week, link nothing, and reread maybe 2% of it. The knowledge is there the retrieval is dead. Claude Code fixes the retrieval, because your vault is just a folder of markdown files and Claude Code lives in folders. The whole setup takes 20 minutes: Open a terminal inside your Obsidian folder and run Claude Code no plugins, no API glue, no export step. It reads all 4,300 files natively. Then drop a CLAUDE.md at the vault root explaining your structure: where daily notes live, how you tag, what your MOCs are. Now every session starts with context instead of chaos. From there you just talk to your vault: > "find every note where I mentioned churn and write a summary with backlinks" > "read my last 30 daily notes and list the 5 ideas I keep circling but never ship" > "build a MOC for everything tagged startup-ideas and link the orphan notes into it" It writes new notes straight into the vault with proper [[wikilinks]], and they show up in your graph view 10 seconds later. The boring layer automates too one command cleans broken links, one merges duplicates, one turns 6 months of meeting notes into a single decisions log. Work that used to eat a Sunday now runs while you make coffee. Before: 4,300 notes, 900 orphans, search by keyword and prayer. After: an agent that read everything you ever wrote and drafts in your own voice, from your own sources, with receipts. People pay $30/month for AI note apps with 10% of this. You already own the other 90%. Your notes stopped being storage. They started being staff.

Spike 1%

18,223 次观看 • 3 个月前

Sure, everyone loves Claude Code but if you ask non-coders: they're all obsessed with Cowork. JJ Englert at tenex is one of them, and he's giving us the power user's guide to getting started with Claude Cowork. In this ep, JJ walks me through: - How to set up Claude Cowork projects (hint: it's just a folder on your computer) - His "brain" file: a doc that tells Claude who he is, how he works, and who he works with, so he never has to re-explain himself - 3 AI agents with different personas that review your work before you share it with real humans My favorite take from this ep: Cowork teaches you the mental models of Claude Code without ever opening a terminal. If you've been stuck in chat mode wondering how to actually get AI to do work for you, this is your episode. ty to our amazing sponsors! 🔀 Tines - Start building intelligent workflows today 🖱️Cursor - The best way to code with AI Full episode:
1:12

Sure, everyone loves Claude Code but if you ask non-coders: they're all obsessed with Cowork. JJ Englert at tenex is one of them, and he's giving us the power user's guide to getting started with Claude Cowork. In this ep, JJ walks me through: - How to set up Claude Cowork projects (hint: it's just a folder on your computer) - His "brain" file: a doc that tells Claude who he is, how he works, and who he works with, so he never has to re-explain himself - 3 AI agents with different personas that review your work before you share it with real humans My favorite take from this ep: Cowork teaches you the mental models of Claude Code without ever opening a terminal. If you've been stuck in chat mode wondering how to actually get AI to do work for you, this is your episode. ty to our amazing sponsors! 🔀 Tines - Start building intelligent workflows today 🖱️Cursor - The best way to code with AI Full episode:

claire vo 🖤

50,362 次观看 • 6 个月前

Claude Code has a serious competitor. Warp lets you interact with AI Agents directly from your terminal. I used it to download a YouTube video, clip it, and caption it with Whispr AI. All of this in less than 2 mins.
1:10

Claude Code has a serious competitor. Warp lets you interact with AI Agents directly from your terminal. I used it to download a YouTube video, clip it, and caption it with Whispr AI. All of this in less than 2 mins.

Shubham Saboo

109,554 次观看 • 1 年前