Context: I'm building ALGA — an AI LinkedIn Growth Assistant. The problem it solves: I can't grow LinkedIn consistently while running an agency and building hardware products. I can't hire a ghostwriter (cost). Generic AI sounds like everyone else. So I built something that actually knows me. The original setup was an n8n workflow that would wake up every morning, grab posts from my target LinkedIn profiles via Unipile, draft comments, and save them to Airtable. It worked. Then Anthropic dropped scheduled tasks in Claude Cowork. I spent ten minutes with it and moved the entire judgment layer out of n8n. What the setup looks like now: n8n still runs at 5am. It scrapes LinkedIn posts via Unipile, checks for duplicates, and uploads to Airtable. Data work — stays in n8n. At 7am, a Claude scheduled task wakes up. It reads the scraped posts, loads my strategy table, my user table (full background, story, goals, skills), my companies table, my skills table. Then it drafts comments in my voice and presents them to me for review. Two things that impressed me: 1. Claude skipped posts without me telling it to. A geography conference I can't attend. A giveaway with no signal for a builder. It used context to make judgment calls. 2. Creating the task took 3 minutes. I used /schedule inside a new task, spoke my instructions via Whisper, and Claude called the scheduling skill. Task created, 8am daily, Airtable connector auto-attached. What's next: Turn the n8n scraper into a Claude scheduled task too. Then build the approval + posting flow as a third task. Full loop inside Claude Cowork. Full build is on YouTube if you want to see the screen recording: https://youtu.be/i_68UvezeIg Happy to answer questions on the Airtable schema or the scheduled task prompt structure — both are real, running right now.

I spent months trying to build a SaaS. It didn't work. Went back to client work — lead gen pipelines, Apollo to Instantly campaigns. That paid the bills. But I couldn't manage my business and stay consistent on LinkedIn at the same time. So I built ALGA — an AI LinkedIn Growth Assistant — as a Claude Cowork plugin. It reads my Airtable base, knows my projects, my voice, my content pillars, and helps me draft posts and comments with full context. I approve everything before it goes out. No subscription. Runs on my machine. Knows who I am. Here's what SaaS products can't do: you can't customize them. You get the features they decided to build, in the way they decided to build them. A plugin is different — you define the behavior, the context, the commands. It's yours entirely. And now with API access to platforms like LinkedIn, WhatsApp, and most business tools, the infrastructure is already there. Plugins can tap directly into the same data these SaaS products use — without the middleman, without the monthly fee, without the limitations. That's the shift I see coming. Plugins won't just compete with SaaS. They'll make a lot of it unnecessary. Just published my first build video if you want to see ALGA live: https://youtu.be/nvbNtQjmr-s What are you building with plugins right now?

Hello Everyone. This comprehensive tutorial show you exactly how to build a high-value ($50K+) verified email lead list from scratch using Apollo.io, n8n, Emailable, and Airtable. Learn the full process of precisely defining your Ideal Customer Profile (ICP), automating lead scraping, email verification, and neatly organizing your leads for effortless outreach. https://youtu.be/nKE8F6abejI

I’ve been testing a build that combines Airtable + n8n to create a full engine for generating AI-driven product images and videos. Here’s the process: - A user uploads a quick photo of their product. - They add instructions + choose how many variations they want. - In a few minutes, the engine outputs polished visuals: product flyers, ad-style images, and short animated videos. - Behind the scenes: - Airtable is the frontend for submissions. - n8n runs the automation. - The generation uses GPT Image 1 (OpenAI) and Veo3 / Veo3-fast (via KIE AI’s API). - The costs are minimal: $50 for 10,000 credits (e.g., an image costs 6–8 credits, an 8s video costs 80–400 credits). Airtable + n8n = ~$48/month total. 💡 The OpportunityImagine offering this as a service: - If you price images at just $2 each, the same $50 in credits (10,000) would generate ~$2,500 in revenue. - If you price short videos at $20–$50 each, you can 10x the margin (since one 8s Veo3-fast video costs only 80 credits = ~$0.40). That means with less than $100/month in running costs, this system could generate thousands in revenue if packaged as a creative service for marketers, e-commerce sellers, or startups needing fast content. I’ve shared some screenshots of the engine in action — Airtable, the n8n automation, and real outputs. You can get the template for free from my Youtube Video

Yes, you’re seeing that right, this is not an n8n video. I’ve had Lindy on my radar for a while now, and with the recent release of Lindy 3.0, I think they’re really starting to do some interesting things. Their agent builder is super impressive, and they’ve even added a computer use feature that’s worth checking out. In this video, I built three lead generation agents, one to find leads, one to enrich them, and one to write personalized outreach, all using just my words (no variables, no prompting, no coding). If you want to see me explore more advanced Lindy use cases, let me know in the comments. My goal with this community and my YouTube channel is to showcase the best no-code tools out there, and Lindy might just be joining that list. Get 30% OFF Lindy AND a free trial here: https://try.lindy.ai/nate