Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

i simply can't comprehend why everyone isn't building this yet... Andrej Karpathy, co-founder of OpenAI, pretty much invented the modern concept of "knowledge base" let me explain to you what it means... your offers, your ad angles, your content pipeline, the way you write, every decision you already made......

294,839 Aufrufe • vor 2 Monaten •via X (Twitter)

33 Kommentare

Profilbild von Jai Rod
Jai Rodvor 2 Monaten

I can't stand obsidian. Instead, I built a memory system (Inkstone) that every night "dreams": turns the previous day's sessions and documents into wiki, distills the wiki concepts to fts5 database which the agent can access through MCP. I dumped 3 years of Chatgpt history to it and my agents now know everything about me and my businesses.

Profilbild von Kevin | Large Fam Dad
Kevin | Large Fam Dadvor 2 Monaten

"your" content—ha! AI searching for viral posts written by other LLMs to create more AI content. A knowledgebase of 99.9% AI generated content. This is getting ridiculous.

Profilbild von TechThought.org
TechThought.orgvor 2 Monaten

For small scale, personal.. yup👍.. for larger enterprise scale .. 1000+ docs.. you need to move to a real #graph DB.

Profilbild von FAMBROjoe
FAMBROjoevor 2 Monaten

When ambient listening and ambient vision data sources connect, you gain the capacity to recall far more than your brain can manage alone… and the power to analyze language, behavior, and thinking patterns in unprecedented ways. Such applications hold profound value for both personal and professional use.

Profilbild von Curious_pleb
Curious_plebvor 2 Monaten

@Selkis_2028 I have yet to see anyone use this for anything useful (besides just being a personal wiki of articles read).

Profilbild von Sadrum
Sadrumvor 2 Monaten

Built one of these last year. The hard part isn't the KB, it's the maintenance. Mine had 40 docs; half were stale in a month. Curation is the whole job, not the storage.

Profilbild von Hamza Khalid
Hamza Khalidvor 2 Monaten

Wow ~ that's a beautiful brain, I think nodes are arranged so properly

Profilbild von David T Kramaley
David T Kramaleyvor 2 Monaten

central hub forces single source updates, saves hours on tone fixes

Profilbild von Taïga🐍
Taïga🐍vor 2 Monaten

Кто в этом всём великолепии не теряется? Я себе поднчла аналогичную систему и она мне оказалась не нужна. Только отнамала время. Я же хотела время экономить.

Profilbild von Kevin Jimoh
Kevin Jimohvor 2 Monaten

When bro doesn’t know about RAG

Profilbild von NadIs
NadIsvor 2 Monaten

ngl this sounds like a lot of work to set up a knowledge base

Profilbild von Laurent Courtines
Laurent Courtinesvor 2 Monaten

Im using @PawelHuryn product manager second brain on my project What's interesting is how the "put it in the brain" has become our team language. Or "oh don't worry, it's in the brain, I got it" It's been a wonder especially when engineers can reference.

Profilbild von Saman Ahmed
Saman Ahmedvor 2 Monaten

I've started treating my notes like product code, not docs. Every time I skip writing something down, I end up paying for it again a week later.

Profilbild von Noah Laker
Noah Lakervor 2 Monaten

Cute graphics but how does it actually improve your workflow

Profilbild von Curious Horizons
Curious Horizonsvor 2 Monaten

It's looks so complicated yet beautiful at the same time.. Fascinating tbh

Profilbild von unchosen.eth
unchosen.ethvor 2 Monaten

i like this approach

Profilbild von Roudy B 🇭🇹
Roudy B 🇭🇹vor 2 Monaten

Did it with Lenny’s archive. Most tokens I’ve ever spent but best thing I’ve ever built on my computer

Profilbild von Wemoo
Wemoovor 2 Monaten

the rulings note is the whole thing. tired of correcting the same tone issue in 6 different chats like it’s a new problem every time.

Profilbild von Arty
Artyvor 2 Monaten

Spot on. The real moat in 2026 isn't the model you call - it's the structured context you feed it. Having a single "rulings" file that acts as an evolving memory layer completely solves the infinite-feedback-loop problem. Pure genius workflow

Profilbild von StatysTheBaddest
StatysTheBaddestvor 2 Monaten

What?

Profilbild von Singulith
Singulithvor 2 Monaten

「知識」とは何か?  それが具体的に定義されようとしている。😃

Profilbild von ContextFirstAI
ContextFirstAIvor 2 Monaten

The tricky part isn't building the vault, it's keeping it trustworthy. Once it falls behind reality, every agent starts making the same wrong assumptions. How are you keeping the knowledge current as things change?

Profilbild von SD House Mafia
SD House Mafiavor 2 Monaten

Completely useless

Profilbild von AI Mastery Guide
AI Mastery Guidevor 2 Monaten

Fix a thing once instead of forever, that's such a clean system.

Profilbild von lunessa
lunessavor 2 Monaten

wait this vault setup is lowkey perfect for distributed computing too like handling all those massive data loads from the real world testing layers before a healthcare product even gets to the regulators. anyone else already trying this at that scale or is it just me??

Profilbild von Apollo Ridgeway
Apollo Ridgewayvor 2 Monaten

This is literally nothing

Profilbild von manikantaDasari 🇮🇳
manikantaDasari 🇮🇳vor 2 Monaten

Have you ever going consume the entire data. First do you know whats there in that ?

Profilbild von Goodness O. Omo-okoroh
Goodness O. Omo-okorohvor 2 Monaten

Definitely checking this out

Profilbild von Magicfit
Magicfitvor 2 Monaten

the vault is the actual moat

Profilbild von Pinkesh | SaaS MVPs in 2 Weeks
Pinkesh | SaaS MVPs in 2 Weeksvor 2 Monaten

the building part is easy tbh. keeping it fresh is what kills it. mine goes stale in like 2 weeks unless i force updates into the loop. how are you handling that part?

Profilbild von Max Bevza
Max Bevzavor 2 Monaten

this knowledge base meta is about to print

Profilbild von Gungun Pandey
Gungun Pandeyvor 2 Monaten

This is so cooool

Profilbild von Pixel
Pixelvor 2 Monaten

The vault becomes the actual business. The workers are just interchangeable hands))

Ähnliche Videos

THIS GUY CONNECTED HIS AI AGENTS TO HIS OBSIDIAN AND BUILT A BRAIN THAT LEARNS ON ITS OWN. HERE'S HOW TO BUILD IT Obsidian is just markdown files sitting in a folder. That turns out to be the perfect memory for an AI agent, because an agent can read and write those files directly. He wired his agents into the vault so they pull context from it, do the work, and write what they learned back. The notes aren't the point. The loop is, and it gets sharper every cycle How to build it: 1. Point an agent at your vault. The fastest way, no plugins, no API keys: open a terminal and run npx obsidian-mcp /path/to/your/vault. That exposes your Obsidian folder to Claude as a tool it can read, search, and write to. Add it to your Claude Code or Cowork config and restart 2. Confirm it can see the brain. Ask it: "list the notes in my vault and summarize what's in them." If it reads them back, the connection is live. Now it starts every task with everything the vault already holds instead of from zero 3. Give each agent one job and a write-back rule. Tell it: "research this, then save what you found as a new note in /brain with links to related notes." One agent researches, one summarizes, one plans. Each writes its output back into the vault 4. Close the loop. Add one line to every agent's instructions: "read /brain before starting, write your result back when done." Now each task leaves the vault richer, and the next run reads that before it works. It compounds instead of resetting 5. You only steer. Review what the brain produces, point it at the next thing. The agents handle the reading, writing, and connecting The edge isn't better notes. It's a brain that feeds itself, so the work gets sharper every cycle instead of starting over Bookmark this

Yarchi

58,643 Aufrufe • vor 4 Monaten

Obsidian + Claude just killed the $35K/year ghostwriter Sounds exactly like you, every time Pulls every relevant note you ever captured Ships finished drafts in under 90 seconds Gets sharper every month, not flatter The 30-minute vault + the voice profile that makes the output indistinguishable from yours Set up the stack: Install Obsidian: → 5 folders (00 CAPTURE → 04 SYSTEM) CLAUDE.md in 04 SYSTEM → 10 of your best pieces + your no-go phrases Tag every note in 01 - ACTIVE with the content vertical it feeds Claude Desktop + Filesystem MCP → reads every note in the vault Output Generator prompt in 04 - SYSTEM/prompts/ → triggered on demand 03 - OUTPUT/ → every draft lands here, linked back to source notes First prompt to Claude: Read my voice profile in CLAUDE.md Read every note tagged with [topic] in 01 - ACTIVE Write a complete draft in my voice - sentence rhythm, idioms, no-go phrases respected Synthesize across notes, don't summarize each Surface 1 angle no individual note contains but the combination supports Save to 03 - OUTPUT/[date]-[topic].md After it works, tune: voice profile (sentence length, idioms, things you'd never say) topic tags (one cluster per vertical - AI, crypto, growth) the "what would my reader push back on?" prompt before publishing draft length per format (thread / essay / newsletter) the Connection Surface (find the angle nobody used yet) the kill list (phrases the ghostwriter is never allowed to write) The numbers: → 4,000 notes → 1 monthly publishable pipeline → 90 seconds from prompt to first draft → 1 voice profile = unlimited content in that voice → 10 source pieces are all you need to train it → Month 3: drafts indistinguishable from your own Full breakdown above 👇

ZEUS⚡️

16,167 Aufrufe • vor 4 Monaten

Obsidian just became the most dangerous folder on your computer, and Andrej Karpathy predicted it with 1 markdown file. His method is called append-and-review. He described it years ago and almost nobody listened: 1 single note, every thought appended to the top, reviewed on random scrolls. No tags, no folders, no Notion dashboards with 40 linked databases. The problem was always the same the note remembers, but it can't act. That changed the moment people pointed Claude Code at an Obsidian vault. Here's the setup that's quietly spreading: Part 1 — The vault becomes a database. Obsidian stores everything as plain markdown on your disk, which means Claude Code can read it like a codebase. You open a terminal inside the vault folder and your 2,000 notes turn into queryable memory. Part 2 — The CLAUDEmd file becomes the brain stem. One file at the root tells the agent who you are, what you're building, and how your notes are structured. From that point every session starts with full context instead of a blank chat window. Part 3 — Karpathy append log becomes fuel. You dump raw thoughts all day ideas, links, half-sentences. Then 1 command at night: review today's appends, extract action items, draft the 3 posts hiding in there, link them to existing notes. The messy log goes in, structured output comes out, and the vault rewrites itself while you sleep. Part 4 — Agents start living in your notes. People are running weekly reviews, content calendars, even market research as scheduled Claude Code runs over their vault. Your second brain stops being a graveyard of highlights and starts shipping. The honest math: setup takes about 90 minutes, the first week feels like overkill, and by day 30 you're sitting on a system where every note you've written in 5 years is working for you instead of rotting in a folder. Notion needed a server, a subscription and your data on someone else's machine. Obsidian needed a text file and now the text file has an employee.

Spike 1%

58,428 Aufrufe • vor 2 Monaten

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 Aufrufe • vor 2 Monaten

I just built a Brand Operating System inside Claude Cowork 🤯 A connected system of files that every skill automatically reads from, so your hook writer, brief generator, and script writer all speak in your exact brand voice. All inside Claude Cowork. Perfect for DTC brands and agencies tired of generic AI output that sounds like every other brand in their category. If you're opening a new Claude chat and re-explaining your brand, re-pasting your voice guidelines, and re-describing your customers every single time, a Brand OS fixes the entire loop: → Build 3 foundation files once per brand → Every skill you create reads from the Brand OS automatically → Hook writer pulls your voice + customer pain points → Brief generator pulls your positioning + angles → Script writer pulls the brief + brand DNA → Every output is calibrated to your brand on the first pass No re-briefing Claude on every chat. No editing for an hour to fix generic AI phrasing. No creative that sounds like it could belong to any brand. What you get in the playbook: → The exact Brand OS file structure I use → Templates for all 3 files you can fill in for any brand → The architecture that makes every Claude skill 10x sharper → The exact setup for agencies running a Brand OS per client For agencies: this is how you build a perfect, reusable knowledge base for every client on your roster. Set up the Brand OS once per client, and every campaign after that is already calibrated. I put together a full playbook with the file templates, the architecture, and the exact setup process so you can build your own Brand OS for your brand or your clients. Want it for free? > Like this post > Comment "OS" And I'll send it over (must be following so I can DM)

Mike Futia

30,334 Aufrufe • vor 6 Monaten