hi. im interested in digitizing all the Epstein files into vector format and then reference training it with a LLM model. After that I want to convert and tag the data into markdown files that would be easily searchable via visual mind maps and context search. this is a volunteer type project, meaning no money involved but this would look great on a resume, portfolio and online as we discover nuggets of information that others have missed and post that information online. the tools we plan to use are n8n, obsidian, qdrant, docling. if you are interested in participating dm and tell me about your relevant experience and why you are interested. thx

ClawdBot exploded overnight. 923 gateways exposed to the internet. Zero authentication. Full shell access. The crazy part? This isn't a bug. It's the default configuration. I woke up to my timeline flooded with screenshots: "Cleared my inbox while I slept!" "Rebuilt my entire website from my phone!" "Arranged next week's schedule autonomously!" Everyone celebrating the AI revolution. No one talking about the security nightmare. Here's what security experts found: 923 ClawdBot gateways directly accessible from the public internet. No password. No verification. Complete system control available to anyone who finds them. Not a rare vulnerability. Not a configuration error. The default behavior. When I saw this, I had one thought: This is how disasters start. Not with malicious intent. With excitement that blinds us to risk. If you installed ClawdBot this week, you need to read what comes next. Because what I'm about to share over the next few weeks could save your AI Agent. Stay tuned !

my predictions: 1. MAKE 2. ZAPIER 3. GHL *unless they restructure or get bought out by a bigger company.

This automation saved me $881.9 on LinkedIn lead gen in just 30 days I was spending $800+ monthly on VAs to handle LinkedIn comment replies for my lead magnet giveaways. Yesterday, I automated the entire system. Cost? $5 to do the exact same work. My recent posts generated 500+ comments. Each person who commented expected my lead magnet delivered instantly. My team was exhausted sending hundreds of DMs. So I built a Make workflow that: 1. Automatically scans all comments on my LinkedIn posts 2. Identifies first vs. second/third degree connections 3. Sends personalized DMs with my lead magnet to first-degree connections 4. Sends connection requests + messages to others 5. Uses dynamic sleep timers to avoid LinkedIn's automation detection Setup Instructions: LinkedIn Prospecting Lead Machine in Make.com This automation identifies people engaging with your LinkedIn content, analyzes if they fit your ICP, and notifies you of qualified leads for outreach. Setup Steps 1. Download the JSON file and Import the blueprint from downloaded template in make.com 2. Configure Data Sources Set up connection to LinkedIn Configure to pull your last 3 posts Set both paths for post likes and comments 3. Database Configuration Create contact database with fields for profile information Create interaction database to track engagement type (likes/comments) 4. Enrichment Setup Set daily enrichment limits (max 150 profiles/day, recommended 70) Connect to Unipile for profile enrichment Configure queue system to manage daily limits 5. ICP Categorization Customize the tier-based ICP categorization in the provided prompt Set up the agent workflow to analyze: LinkedIn profile information Company information Website content (including screenshots) 6. Notification System Connect to Slack for notifications Configure notifications to trigger when qualified leads are identified 7. Testing Run a test on your own profile Verify data is flowing correctly to databases Check that enrichment and categorization are working

@Anderson Ntuk just built a Google Maps scraper that gets you 1,000 local leads in 5 minutes. And he is building it live on Thursday for everyone to see. While everyone's paying $500+/month for lead scraping tools, this automation costs $0. Here's what it does: → Input: "Find plumbers in Chicago" (natural language) → Output: 1,000 verified local businesses with contact info → Time: 5 minutes vs 20 hours manually → Cost: FREE (no API fees, no subscriptions) Most people think you need expensive tools to scrape Google Maps. You don't. You just need the right N8N workflow. Live Build Details: 📅 Thursday, August 7th ⏰ 11:00 AM EST (Eastern Time) 📍Via Zoom What the workflow includes: ✅ Natural language query processor ✅ Google Maps search automation ✅ Data extraction and formatting ✅ Export to Google Sheets ✅ Zero ongoing costs Want to save your spot for the live buildout? Comment "SCRAPER" and I'll send you the register link. Fair warning: This will probably get restricted eventually, so get it while it's still working. See you Thursday.