Let's get to know each other! Comment below sharing where you are in the world, a career goal you have, and something you like to do for fun. 😊

now I am back with continue building with n8n again!! Claude + N8N =💪🏻 Been building something I think will help people here: An automation that lists one product across Shopify, WooCommerce, and Amazon at the same time — straight from a spreadsheet. The problem I kept seeing: sellers manually re-typing the same product into 3 different platforms, and prices/descriptions drifting out of sync between them. Here's the basic flow: 1. Add the product to a sheet 2. It validates the data automatically 3. It lists on all 3 platforms and retries if one fails Result: what used to be 3 manual listings is now 1 spreadsheet row. If you sell across multiple platforms and this would save you time, let me know — happy to share more details or answer questions 👇 Questions :- 1. any add-ons ? 2.what you are building??

I have used tools like this in the browser before, but FireCrawl is a game changer. Looking forward to using this more frequently. I took a different approach than the training. I used the capabilities of FireCrawl as an investigation into my project to see what I could repurpose or recreate with out the additional FireCrawl cost. So, I did some scrape testing and found a use for FireCrawl in my stack, but then ended up with a Playwright script that is running on a lot of content that isn't easy to access externally.

Saw a few posts this week about tracking Claude usage, and I get it, the limit anxiety is real. But the thing that actually fixed it for me wasn't watching the meter closer. It was changing how I work so I stop burning through it. Four things that made the biggest difference: 1. Plan before it builds anything. Most wasted tokens come from one long session piling up dead ends. I make it lay out the plan in a few bullets first, then approve it. A minute of planning saves a pile of failed retries. 2. Push heavy reading into a subagent. Instead of dumping a huge file or a load of research into my main chat, I send it to a subagent. It reads the 50k tokens and hands me back a 2k summary. My main context stays clean and cheap. 3. Start fresh before the context fills up. Quality drops as the window fills, and a bloated session costs more per message. Around 70-80% full I save a short checkpoint, clear, and pick up from there. Feels backwards but it's faster and cheaper. 4. Keep instructions in files, not in every prompt. Anything reusable lives in a file the agent loads only when it needs it, instead of me re-explaining it every session. Net effect, I almost never hit the wall now, and the meter went from something I anxiously refresh to a signal that a session is getting bloated. What eats your limit the fastest? Curious if it's research, long builds, or something else.

Thankfully, I already have a full working Claude Code and VS Code setup, and brand guidelines manager all wired into my projects. The big win here will be generating actual newsletter content. Although I've been in business 18 years, I've never done real marketing. This is a great first step. It allowed me to assign this entire task to my team and make an email platform decision (DotDigital) where I am a partner and I think I can get economies of scale from an Affiliate relationship perspective.