What I built 🚀 Built an AI newsletter that fetches the information, summarizes it, and generates a clean newsletter automatically. One thing I learned 💡 The biggest realization was creating it as a reusableClaude Code skill. Now I can use it anytime to summarize news, blogs, articles, or any content I want to read. One thing I'd improve 🔧 Next, I'd add anAI insights section that highlights trends and explains why today's news matters, instead of only showing summaries. Thanks Nate for putting all together. Killer Cluade.md file

Wanted to share a milestone here rather than just on LinkedIn: I just landed my first paid client — $1,000 — for a video generation tool I've been building. Honestly, this community is a real part of why it happened. Seeing people here actually ship instead of just talking about building is what pushed me to stop waiting to be asked and just build the thing. That mindset shift is the whole reason I had a working sample ready instead of just a plan on paper. Small bit on the tool itself, since I'll go deeper on it in a dedicated post soon: it's a backend engine that takes a topic and turns it into a finished video — script, voiceover, visuals, assembly, the works. Having a real output from it, not just a description of it, is what made the client conversation land differently. That's the win for today. Full build breakdown coming in a separate post. Anyone else here had a moment where just being around people who ship pushed you to actually finish something instead of sitting on it?

One of the websites I scraped was a supplement brand I'm partnered with. Their product category is extensive, at 411 products by my count. So I did this to look at creating information for myself and all of our clients to quickly search for products based on use case and category, rather than slowly searching one product at a time. This would've literally taken me WEEKS to do manually, but it took like 2-3 minutes. MIND.BLOWN. One thing I learned was how easy and quick this process is. I always (somewhat foolishly) thought scraping was some dark arts level magic that only hackers knew how to do... Buuuut looks like I've got my Gandalf hat on now, buddy lol. I can think of a million other use cases for this that fit right into our business. Scraping equipment pages for home gyms Scraping websites for recipes for clients Scraping functional health websites for information on optimal blood lab ranges to use with our labwork interpretations that we offer... Needless to say, I'll be revisiting this project repeatedly and will be upgrading to a paid Firecrawl account in the very near future. This is powerful!

Hi everyone! I've been learning AI automation through hands-on projects, and today I wanted to share my latest build:FitReply, a WhatsApp AI assistant for personal trainers. The workflow is designed to handle client communication intelligently, on the trainer's own WhatsApp number, without making anything up. Offering free for first 5 trainers Here's what it currently does: ✅ Answers new lead enquiries instantly with the trainer's real prices and packages ✅ Onboards new clients — collects goals, experience level, and preferences conversationally ✅ Runs daily check-ins with existing clients and logs how each workout went ✅ Detects sensitive mentions (like an injury) and flags them straight to the trainer ✅ Sends session reminders with one-tap confirm/reschedule ✅ Sends payment reminders automatically ✅ Never answers outside its known information — if it doesn't know something (pricing it wasn't told, a medical question), it says so and alerts the trainer instead of guessing ✅ Logs every client, check-in, and alert automatically in a tracking sheet Full demo + how it works: https://fitreply.netlify.app/ Tools used: Claude Code, Twilio, WhatsApp Business API #AIAutomation #AIAgents #BuildInPublic #WhatsAppAutomation #ClaudeCode

This is my first time building an automation like this - I really looking for honest feedback. Built FitReply — a WhatsApp-based assistant for personal trainers using Claude Code and Twilio. It answers leads instantly with real prices, onboards new clients, runs daily check-ins, flags anything that needs the trainer's attention (like an injury mention), and sends session/payment reminders. Full site + real demo recording: https://fitreply.netlify.app/ Since it's my first automation and my first time trying to actually get users, I'd love this community's take on the go-to-market side and the tech: - How would you approach launching something like this — where did you get your first users when you shipped your first thing? - Cold DMing trainers directly vs. posting publicly — which actually worked for you, if you've tried outreach like this? - Any red flags in how I'm approaching this (free-for-5 pilot, DM-first) that you'd avoid? Free pilot for the first 5 trainers — but the go-to-market lessons matter more to me right now than the offer.