Загрузка видео...

Не удалось загрузить видео

На главную

🚨 SOMEONE JUST KILLED THE COACHING INDUSTRY a developer spent 22,000 hours building a Personal AI Operating System on top of Claude Code now anyone with a terminal can install it for FREE it knows your goals, remembers every decision you've made, and prepares your morning briefing while you...

615,845 просмотров • 4 месяцев назад •via X (Twitter)

Комментарии: 35

Фото профиля Freed Ninja
Freed Ninja4 месяцев назад

You’ve got to be some kind of special to believe this clickbait bs. 22,000 hours 🤣 That’s 2.5 years straight non-stop 🤦🏻‍♂️ 916 days straight non-stop. Crazy how much clickbait bs about ai is flooding x feed now a days.

Фото профиля Rob Williams / AI for Founders
Rob Williams / AI for Founders4 месяцев назад

I've built a graph that does more than remember your goals and decisions. It understands them. AI that reasons over the most important thinking you do every day, forever. One query away. One keystroke. Any AI chat flows into your private graph. Claude, GPT, Gemini, Grok, Perplexity — all of it. This isn't a second brain. Not Obsidian + Claude. This is past that. No extensions, API's, or plug-ins. Fully local. Work smart. Not hard. Let AI build your graph. Been quietly building this for a year. The graph is just the foundation. More coming.

Фото профиля 𝘿𝙖𝙫𝙞𝙙 ✦ 𝙈𝙂𝙏
𝘿𝙖𝙫𝙞𝙙 ✦ 𝙈𝙂𝙏4 месяцев назад

22,000 hours is like 10 years of full-time work lol. But the underlying thing is real. Claude code with a solid skill pack and persistent memory is legitimately different. I've been shipping client work with it for months. The coaching angle is engagement bait but the tool itself slaps.

Фото профиля Josh Horton
Josh Horton4 месяцев назад

Great infrastructure. But without the Master Healing Ritual as your daily grounding protocol, even the best agent swarm will eventually run you instead of you running it.

Фото профиля Vyasji
Vyasji4 месяцев назад

22,000 hours ÷ 16 hours/day = 1,375 days glad he didn’t take any vacations and working before chatGPT came… thanks for sharing a clickbait

Фото профиля كيو مجلس
كيو مجلس4 месяцев назад

It looks amazing but!!! Is that secured so i can share my personal data and info, i think we really need to rethink about our own online security, cuz it’s not companies responsibility anymore, it’s our responsibility

Фото профиля Anand Butani
Anand Butani4 месяцев назад

built something similar for myself once, just a mess of markdown files and shell scripts, never got to 22k hours obviously but the plain-text memory approach genuinely outlasted every "smart" tool I tried

Фото профиля Camilo Villa - Lujo.ai
Camilo Villa - Lujo.ai4 месяцев назад

It seems the developer is a time traveler who began building this tool on top of Claude Code even before Claude Code was created.

Фото профиля Jason Diehl
Jason Diehl4 месяцев назад

22,000 hours =916 days 16 hours * 916.67 days * About 2.51 years if you did it nonstop 24/7 * Or roughly 10.6 years working a standard 40-hour workweek For perspective: * If someone practiced something 3 hours a day, it would take about 20 years to reach 22,000 hours.

Фото профиля Mikhail_Shakh
Mikhail_Shakh4 месяцев назад

Guys, let’s be realistic…which open source ever killed any working product with thousands of paying customers??

Фото профиля Deep Research
Deep Research4 месяцев назад

The post above is classic example of how in absence of any critical thinking, nonsense passes on X, with 400k+ views. Claude Code didn't even exist 15 months back. That's barely <11k hours total since claude code itself ! This person fools by saying: "22,000 hours .. Claude Code"

Фото профиля Severus Studio
Severus Studio4 месяцев назад

I like mine better 🥹

Фото профиля heath
heath4 месяцев назад

I feel like these are always overhyped. This isn’t original

Фото профиля Shubham Sharma | Video Editor
Shubham Sharma | Video Editor4 месяцев назад

You’ve got to be some kind of special to believe this clickbait bs. 22,000 hours 🤣 That’s 2.5 years straight non-stop 🤦🏻‍♂️ 916 days straight non-stop. Crazy how much clickbait bs about ai is flooding x feed now a days.

Фото профиля Naby Mariyam
Naby Mariyam4 месяцев назад

The feild...

Фото профиля AGI Birther
AGI Birther4 месяцев назад

Markdown files don't scale, at 1000 memories markdown files became too slow to use for me

Фото профиля @Coldly
@Coldly4 месяцев назад

22,000 hours to build it. $0 to install it. every $30/month AI productivity app just became a question mark.

Фото профиля Adrian
Adrian4 месяцев назад

The real value in systems like this is not the morning brief, it's the memory of decisions. Once an agent can explain why a choice was made, the whole workflow gets less fragile.

Фото профиля Hussain Hashim | Building SundayBack
Hussain Hashim | Building SundayBack4 месяцев назад

@DeRonin_ wild, right? but kinda makes me wonder if it really gets the human touch. tech's awesome, but sometimes you need a real convo

Фото профиля Nicholas Kerzman
Nicholas Kerzman4 месяцев назад

I’m calling BS on the 22,000 hours. At an 80 hour work week, which is unsustainable, that would be over 275 weeks or 5.28 years. AI hasn’t been in public use for that long. This is garbage.

Фото профиля MyComputerSpot
MyComputerSpot4 месяцев назад

Big if true...

Фото профиля Black Zeus
Black Zeus4 месяцев назад

Don’t know what it is but I want one 🤷‍♂️

Фото профиля Susan Oh
Susan Oh4 месяцев назад

AI has no evolutionary impetus - IE survival/growth instincts. What could possibly go wrong w entrusting it with my life decisions 🙄

Фото профиля Rimsha Bhardwaj
Rimsha Bhardwaj4 месяцев назад

Sounds like the future of coaching is here, just a download away.

Фото профиля EasyClaw
EasyClaw4 месяцев назад

I have to say too many AI tools got Killed each day Don't miss our AMA!

Фото профиля iFollowProtocol
iFollowProtocol4 месяцев назад

The Community Note! The Git does have 12k stars. Why would anyone do this?

Фото профиля rewind
rewind4 месяцев назад

people gonna build whole businesses off this

Фото профиля Zachary Kiefer
Zachary Kiefer4 месяцев назад

Claude isn’t that good. It codes well but is not consistent in how it does things. That seriously limits how much you can extrapolate things you do

Фото профиля Clint
Clint4 месяцев назад

4.79 years….Claude wasn’t even a thing nor did it have this capability. 21,000 hours? Everything you said is discredited when you throw stupid stories like that out

Фото профиля DeFiniTed
DeFiniTed4 месяцев назад

And how much would it cost to run in tokens? Even for an hour?

Фото профиля Tavon Maven
Tavon Maven4 месяцев назад

@noisyb0y1 This is so cool , if you like that try this , it’s the only framework with cost-guards built in , it’s gets cheaper the more you use it if

Фото профиля Thе М̶ȯ̶̶ȯ̶ṉ̲ᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠ
Thе М̶ȯ̶̶ȯ̶ṉ̲ᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠᅠ4 месяцев назад

Been seeing more people build personal AI workflows like this lately found NexusBot through Reddit a while ago and it actually fits pretty well into this whole “AI OS” trend

Фото профиля Real_Rob2
Real_Rob24 месяцев назад

I've done this exact same work and have a product that looks very similar to this without knowing this existed. The problem is that unless you control the Agent loop these are just bolt on suggestions which Claude can easily disregard and does. I've seen it myself over and over. I'm building something better now.

Фото профиля Zero Waste Society
Zero Waste Society4 месяцев назад

"Coaching Industry???" Are you giving the most phony and made up "grifting-the-ignorant" bullcrp so-called "industry" that name? And THAT is what you want to replace??? My suggestion is therefore, delete this post and repost with a REAL Industry example it disrupts.

Фото профиля Mihai Matei
Mihai Matei4 месяцев назад

The hard part is not the morning briefing. It’s keeping memory editable and source-linked, otherwise the “personal OS” becomes confident diary fanfic.

Похожие видео

THIS GUY BUILT AN AUTONOMOUS AI AGENT OUT OF CLAUDE CODE + OBSIDIAN and this is way more interesting than another “use AI to take notes” demo the trick is simple: Obsidian is not the writing app here. it becomes the agent’s memory, task board, and context folder. Claude Code is not just answering prompts. it reads the vault, edits files, follows instructions, and keeps moving through the work like a junior operator with a filesystem. the reusable setup looks like this: 1. create an Obsidian vault for one project 2. keep goals, rules, tasks, decisions, and references as markdown files 3. point Claude Code at the folder 4. give it a clear operating loop: read context → choose next task → execute → write back what changed 5. use the notes as persistent memory instead of re-explaining the project every chat that’s the part people miss. the “agent” is not magic. it’s the boring combination of: - local files - explicit rules - task state - write access - a model that can run through the repo/vault Obsidian makes the memory human-readable. Claude Code makes the memory executable. that combo is why the video worked: it turns a notes app into an operating surface for actual work. best use cases: - content systems - research vaults - coding projects - client ops docs - personal knowledge bases that need actions, not just storage the caveat: if your vault is messy, your agent becomes messy too. folders, naming, “done” criteria, and forbidden actions matter more than the prompt. but once the structure is clean, this is one of the easiest ways to build an agent that remembers what happened yesterday without paying for a full custom app.

kocer

30,403 просмотров • 3 месяцев назад

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

56,177 просмотров • 3 месяцев назад

THIS IS F*CKING INSANE. picture asking your AI agent why it made a call six months ago, and actually getting the full answer: the data it pulled, the policies that applied, and the exact chain of reasoning that led there. that is Semantica, an open source Palantir for AI agents. every other setup forgets. an LLM plus a vector store makes a decision, moves on, and leaves you no trail of why. Semantica is a graph native layer that sits underneath your models and agents and turns your data into a living context graph, where every fact, relationship, and decision carries full provenance you can query and audit. why it changes memory engineering: > every fact remembers where it came from, W3C PROV-O compliant, exportable as JSON, RDF, or CSV > record a decision with its reasoning and confidence, then trace the whole causal chain back whenever you want > the reasoning layer is deterministic, Datalog, SPARQL, Rete, no LLM in the loop, so every path is explainable instead of guessed > bitemporal facts and time travel snapshots let you ask what the system knew at any point in the past > polyglot storage across RDF stores, property graphs like Neo4j, and vector stores like Qdrant this is memory built for the rooms where a black box gets you sued: > finance, healthcare, legal, government, compliance, anywhere a decision needs a paper trail and it drops into what you already run: > CrewAI, Agno, an MCP server, LiteLLM for OpenAI, Anthropic, Gemini, and Ollama, plus Claude Code and Cursor one line to start: pip install semantica bookmark this. the next leap in agent memory is not more embeddings, it is memory that can prove why.

NO1ennn

11,750 просмотров • 1 месяц назад

how to set up hermes agent step by step. built-in memory, 40+ tools, works on your phone, and what to think of hermes vs openclaw: 1. hermes is a personal AI agent that runs in your terminal. think of it like open claw but with built-in memory, 40+ tools out of the box, and 90% cheaper token costs. you install it with one command. 2. the 3 problems with open claw that hermes solves: no memory (you keep repeating yourself), constant gateway restarts, and zero visibility into what you're spending on tokens. 3. hermes remembers everything. every completed task gets saved to memory. it searches through past logs to find solutions. over time it literally gets smarter at your specific workflows. 4. connect it to open router. you see exact costs per model per task. free models rotate weekly. one founder went from $130 every five days on open claw to $10 on hermes. same output. 5. it comes preloaded with skills. apple notes, imessage, find my, browser, web search, image generation, cron jobs. no hunting for plugins. 6. connect it to obsidian so it reads your entire vault. connect it to gstack for your dev environment. create custom skills for your specific workflows. 7. the biggest money saver: have it write code once for recurring tasks. then it runs without burning tokens every time. stop paying an LLM to do the same scrape or report daily. 8. run it on android via telegram. name your agents. talk to them like coworkers. in this episode imran shows you how to set this up. 9. you can run it bare metal, in docker, or serverless on modal. pick your risk level. i begged imran to come on The Startup Ideas Podcast (SIP) 🧃 and walk through the full installation live. he made it impossibly clear. if you've heard of Hermes Agent and want the clearest explanation of how to get set up like a pro let me know what you want me to cover on the next ep this is the best personal agent setup video on the internet right now. watch

GREG ISENBERG

623,943 просмотров • 5 месяцев назад

SOMEONE FROM THE ANTHROPIC TEAM LEAKED THEIR OBSIDIAN SETUP. 8 MILLION PEOPLE SAW HOW HE ACTUALLY USES CLAUDE the funniest part? all of this information was sitting in claude's documentation from day one. nobody read it one guy did, packed it into a 9-step guide and posted it. and it broke the internet. 4,100 likes, 800 retweets, then china picked it up and 8 million views want to know what's in it? one file. called CLAUDE.md. it holds everything about you: how you think, what you're working on, where you get stuck, even how you want the ai to talk to you. claude reads it first every single session one file changed everything. because now ai doesn't open with "how can i help?" it already knows. it remembers your projects, sees your goals, catches moments where you're contradicting yourself people spent years searching for the perfect prompt. the right temperature. the magic formula. and the answer turned out to be not how you ask ai. but what ai knows about you before you even open your mouth then the guy went deeper. taught claude to work on a schedule. every morning at 7am the ai walks through all notes on its own, finds new stuff, links it, cleans what's stale. no command. no reminder and all of this runs on obsidian. free app. text files on your drive. no cloud, no lock-in. switch models tomorrow and the folder keeps working the most liked comment under the original post: "this is the difference between using ai and building a system. most people won't realize it until they waste hundreds of hours repeating themselves" hundreds of hours. you've already spent some of them full guide in the video. i break down finds like this every day - follow so you don't miss the next one

kai

174,650 просмотров • 2 месяцев назад