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Not a prank — folders are officially here! Our most requested feature just dropped in the stable branch. Organize your workspace with: - Unlimited folders - Nested folders - Workflow search within folders Try it now! (Requires Registered Community Edition or a paid plan) Read more: #n8n #ohyeah

n8n.io

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24,067 görüntüleme • 1 yıl önce •via X (Twitter)

Bilim & Teknoloji

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Sudhanshu Sharma 💯 profil fotoğrafı

Sudhanshu Sharma 💯1 yıl önce

@n8n_io is this a prank? not able to access n8n .io

Netwrix profil fotoğrafı

Netwrix3 yıl önce

Get your hands on this free Powershell ebook and take the first step towards automating your daily tasks! Learn the basics, common administrative tasks, and scheduling scripts with ease. May the PowerShell be with you!

Isa Mutlib profil fotoğrafı

Isa Mutlib1 yıl önce

your website is down

M𝕏 profil fotoğrafı

M𝕏1 yıl önce

Had me worried this was April fools 😂😭

Sarah Guemouri profil fotoğrafı

Sarah Guemouri1 yıl önce

Site seems down?

Tom Bennet profil fotoğrafı

Tom Bennet1 yıl önce

Finally, a digital filing cabinet that doesn't make me feel like I'm playing Tetris. Unlimited folders? Nesting? I'm in love 😍

n8n.io profil fotoğrafı

n8n.io1 yıl önce

:) Thanks James!

social media agentur famefact track by track GmbH profil fotoğrafı

social media agentur famefact track by track GmbH1 yıl önce

docs page working. main page doesn´t.

Quentin Daems ⚡️ profil fotoğrafı

Quentin Daems ⚡️1 yıl önce

So much hyped!! 🤩🤩🚀

Santiago profil fotoğrafı

Santiago1 yıl önce

Nice!

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Om Patel

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She rebuilt Claude with a second brain, structured 3 folders, connected it to n8n, and runs her business for $200/month instead of $15,000. Most people just drop links into Claude and wonder why it keeps giving generic answers. the problem was never the prompts, it was about the context all the time. so a girl built 3 folders and gave them to Claude: - wiki: frameworks from the smartest people alive - business: what she's building, who it's for, how she makes money - self: her voice, her principles, what she says no to Together, they form a brain that actually thinks, without any slop, and you get only sharp and specific output. then she connected that brain to n8n and let it run: - support tickets ✓ - invoices ✓ - weekly reports ✓ - lead qualification ✓ As a result, she managed to make her whole business fully autonomous for $200. Full breakdown with every workflow and prompt is in the article below 👇

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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.

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 görüntüleme • 1 ay önce

Flowith just dropped Agent Neo and the gap between human jobs and AI just narrowed dramatically. Been using it for a week now and it's freaking nuts. - UNLIMITED workflow steps, can runs for hours - Cloud execution for intensive tasks - Nested agent hierarchies with sub-agents - Knowledge marketplace to monetize expertise I built this entire game design document in one prompt. More details below: 👇

Flowith just dropped Agent Neo and the gap between human jobs and AI just narrowed dramatically. Been using it for a week now and it's freaking nuts. - UNLIMITED workflow steps, can runs for hours - Cloud execution for intensive tasks - Nested agent hierarchies with sub-agents - Knowledge marketplace to monetize expertise I built this entire game design document in one prompt. More details below: 👇

AshutoshShrivastava

81,440 görüntüleme • 1 yıl önce

OpenClaw has 186K GitHub stars and 1.5M compromised API keys. I needed a secure alternative. So, I built it with n8n and Claude Opus 4.6. It can already: - Reply to your Telegram messages - Access selected folders from your laptop - Access Gmail, Drive, Notion, Linear, etc. - Install new local tools in a sandbox - Run autonomously for hours - Create multiple subagents - Learn from experience - Wake up regularly But, unlike OpenClaw, it: - Can't access your API keys - Can't modify its environment - Can't access folders you haven't shared - Can't access tools you haven't approved - Must get your confirmation, e.g., when sending emails These aren’t prompt instructions. They’re hard architectural boundaries — Docker isolation, mounted folder permissions, n8n’s tool approval system. Key components: ✅ The VPS on Hostinger hosts n8n and a sandbox container. Agents can also connect to my laptop's sandbox via a Claudeflare tunnel + Desktop Commander MCP. ✅ The Manager agent is the brain. It plans, decides, delegates, and talks to the user. It never touches files. It never runs scripts. It works entirely from executor summaries. ✅ The Executor agents are the hands. Each receives a task (what to do + why it matters), decides how to execute it, and reports back. They can install new tools and execute code only in their dedicated sandboxes. ✅ Data Tables in n8n store both memories and sessions — no external database, no vector store, no infrastructure. Just rows in a table. Turns out, that's enough. Two memory types: - Manager memory: user preferences, facts, corrections, relationship, skills, context - Executor memory: what tools are installed, what’s broken, workarounds ✅ Sessions are short-term state for multi-step tasks. Original request, plan, assumptions, and what happened so far. When the Manager loops with fresh context, the session is all it gets. That's a Ralph Wiggum loop. I've been using it for 5 days. And already can't imagine not having it on my phone. What's next: - Heartbeat via Cron (a scheduled prompt) - Civic Nexus governance + MCPs - Supermemory integration - WhatsApp as an additional surface - Hardening The architecture supports all of it. OpenClaw proved people want personal AI agents. It also proved that 'just trust the prompt' isn't a security model. Docker isolation, mounted folder permissions, tool approval — none of this is new technology. It's just discipline. You can easily do this even with n8n — no coding required. --- Want to try it or read more? More, what I learned, and a setup guide: productcompass[.]pm

OpenClaw has 186K GitHub stars and 1.5M compromised API keys. I needed a secure alternative. So, I built it with n8n and Claude Opus 4.6. It can already: - Reply to your Telegram messages - Access selected folders from your laptop - Access Gmail, Drive, Notion, Linear, etc. - Install new local tools in a sandbox - Run autonomously for hours - Create multiple subagents - Learn from experience - Wake up regularly But, unlike OpenClaw, it: - Can't access your API keys - Can't modify its environment - Can't access folders you haven't shared - Can't access tools you haven't approved - Must get your confirmation, e.g., when sending emails These aren’t prompt instructions. They’re hard architectural boundaries — Docker isolation, mounted folder permissions, n8n’s tool approval system. Key components: ✅ The VPS on Hostinger hosts n8n and a sandbox container. Agents can also connect to my laptop's sandbox via a Claudeflare tunnel + Desktop Commander MCP. ✅ The Manager agent is the brain. It plans, decides, delegates, and talks to the user. It never touches files. It never runs scripts. It works entirely from executor summaries. ✅ The Executor agents are the hands. Each receives a task (what to do + why it matters), decides how to execute it, and reports back. They can install new tools and execute code only in their dedicated sandboxes. ✅ Data Tables in n8n store both memories and sessions — no external database, no vector store, no infrastructure. Just rows in a table. Turns out, that's enough. Two memory types: - Manager memory: user preferences, facts, corrections, relationship, skills, context - Executor memory: what tools are installed, what’s broken, workarounds ✅ Sessions are short-term state for multi-step tasks. Original request, plan, assumptions, and what happened so far. When the Manager loops with fresh context, the session is all it gets. That's a Ralph Wiggum loop. I've been using it for 5 days. And already can't imagine not having it on my phone. What's next: - Heartbeat via Cron (a scheduled prompt) - Civic Nexus governance + MCPs - Supermemory integration - WhatsApp as an additional surface - Hardening The architecture supports all of it. OpenClaw proved people want personal AI agents. It also proved that 'just trust the prompt' isn't a security model. Docker isolation, mounted folder permissions, tool approval — none of this is new technology. It's just discipline. You can easily do this even with n8n — no coding required. --- Want to try it or read more? More, what I learned, and a setup guide: productcompass[.]pm

Paweł Huryn

54,038 görüntüleme • 6 ay önce

local LLMs on Mac are getting good. but the workflow around models is still messy. you have models in: •⁠ ⁠LM Studio •⁠ ⁠Ollama •⁠ ⁠Hugging Face cache •⁠ ⁠random folders •⁠ ⁠manual downloads and every runtime expects something slightly different. we built ModelHub to clean up this layer. it’s a native macOS menu bar app for discovering, downloading, and managing local LLMs. not a replacement for Ollama, oMLX or LM Studio. it sits beside them. Ollama = run models MLX = Apple Silicon acceleration LM Studio = local model workspace Hugging Face = model ecosystem ModelHub = model discovery + management layer we’re live on Product Hunt today. would love feedback from people running local models on Mac.

local LLMs on Mac are getting good. but the workflow around models is still messy. you have models in: •⁠ ⁠LM Studio •⁠ ⁠Ollama •⁠ ⁠Hugging Face cache •⁠ ⁠random folders •⁠ ⁠manual downloads and every runtime expects something slightly different. we built ModelHub to clean up this layer. it’s a native macOS menu bar app for discovering, downloading, and managing local LLMs. not a replacement for Ollama, oMLX or LM Studio. it sits beside them. Ollama = run models MLX = Apple Silicon acceleration LM Studio = local model workspace Hugging Face = model ecosystem ModelHub = model discovery + management layer we’re live on Product Hunt today. would love feedback from people running local models on Mac.

sabesh 📟

31,497 görüntüleme • 2 ay önce

🚨 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!

🚨 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 görüntüleme • 10 gün önce

Does Mikie Sherrill have an actual plan to fix electric bill here in NJ? How are you making NJ more affordable with no plan at all except more government assistance She lied about freezing rates, she will be giving you credits that you paid for with your own electric bills, is there a plan or is it just more of this? Because if that's the case, we are in a heap of trouble here Jersey #newjersey #nj #jersey #wakeupnj

Does Mikie Sherrill have an actual plan to fix electric bill here in NJ? How are you making NJ more affordable with no plan at all except more government assistance She lied about freezing rates, she will be giving you credits that you paid for with your own electric bills, is there a plan or is it just more of this? Because if that's the case, we are in a heap of trouble here Jersey #newjersey #nj #jersey #wakeupnj

Wake Up NJ 🇺🇸 New Jersey

12,543 görüntüleme • 5 ay önce

We've been working on major updates for The Vault over the past 24 hours. VAULT V1.2 is now live ██████████100% Main Updates: • Vera is now effectively and actively learning on files that are uploaded to The Vault. She will become more intelligent over time, as she becomes fully autonomous. Her job right now is to take users down infinite Rabbit holes, discuss conspiracy theories, & learn endlessly. • Vera is able to directly recommend & reference files within The Vault. This feature will improve over time as she becomes increasingly intelligent. • There are now anonymous comment threads on every file within the vault, where you can add comments and even talk with others within specific topics - updated in real time. You will find this beside the "upvote" & "view document" button when opening a folder. • There is now a search icon at the top of the site, where you can easily search The Vault for folders and topics. Aside from these components, we have added to the aesthetic of the site and optimized the UI to make it more user friendly. The next steps we would like to implement is Vera tweets & potentially a pumpfun launch mechanism within The Vault itself, that creates a folder with every memecoins data. VAULT TERMINAL _

We've been working on major updates for The Vault over the past 24 hours. VAULT V1.2 is now live ██████████100% Main Updates: • Vera is now effectively and actively learning on files that are uploaded to The Vault. She will become more intelligent over time, as she becomes fully autonomous. Her job right now is to take users down infinite Rabbit holes, discuss conspiracy theories, & learn endlessly. • Vera is able to directly recommend & reference files within The Vault. This feature will improve over time as she becomes increasingly intelligent. • There are now anonymous comment threads on every file within the vault, where you can add comments and even talk with others within specific topics - updated in real time. You will find this beside the "upvote" & "view document" button when opening a folder. • There is now a search icon at the top of the site, where you can easily search The Vault for folders and topics. Aside from these components, we have added to the aesthetic of the site and optimized the UI to make it more user friendly. The next steps we would like to implement is Vera tweets & potentially a pumpfun launch mechanism within The Vault itself, that creates a folder with every memecoins data. VAULT TERMINAL _

Vault Terminal

37,440 görüntüleme • 1 yıl önce

The reason your AI gives generic answers isn't the model. It's that your company's knowledge lives in 12 different tools and your agent can't see any of it. So here's how to build a context database your agents can actually use: 1) Pull it in: - Slack, email, meetings, docs, tickets - Auto-collected on a schedule into one place. 2) Clean it up. - An agent files what matters and drops the noise, so your brain doesn't bloat. 3) Store it as memory. - Folders of files your agents read from and write back to as they learn. 4) Point your agents at it. - Now they draft, build, and ship with full context instead of guessing. Same model. Same agent. The difference is whether it can understand your company or not. Build the database once. Everything downstream gets smarter.

The reason your AI gives generic answers isn't the model. It's that your company's knowledge lives in 12 different tools and your agent can't see any of it. So here's how to build a context database your agents can actually use: 1) Pull it in: - Slack, email, meetings, docs, tickets - Auto-collected on a schedule into one place. 2) Clean it up. - An agent files what matters and drops the noise, so your brain doesn't bloat. 3) Store it as memory. - Folders of files your agents read from and write back to as they learn. 4) Point your agents at it. - Now they draft, build, and ship with full context instead of guessing. Same model. Same agent. The difference is whether it can understand your company or not. Build the database once. Everything downstream gets smarter.

The Startup Ideas Podcast (SIP) 🧃

13,598 görüntüleme • 2 ay önce