I created a tool that can scrape linkedin jobs and find the details (like email and linkedin url) of the decision maker of the company thats hiring. Here's a demo video https://www.loom.com/share/25832a95eddc45728414391c7b626bcd Let me know what you think. Any feedback is much appreciated. Thanks

#Introduction I'm Rodrigo, a programmer with over 20 years of experience based in Texas, USA. After completing my AI & Machine Learning Masters, I launched an AI Agency focused on AI Agents and Automation, and for the last 6 months specifically focused on n8n for businesses generating $1M+ annually. #Key Insights Ideal Clients: Companies with 10+ employees earning $5-10M yearly. You'll work directly with owners (shorter sales cycles) and find better opportunities to improve processes. Best Acquisition Channel: LinkedIn - easily identify decision-makers, engage with their content, then connect with a friendly (non-sales) message. Share valuable content before suggesting demos. Sales Approach: Offer a Proof of Concept (POC) during meetings to demonstrate practical solutions to specific problems. Product Focus: I excel in just three revenue-generating solutions (marketing, sales, customer service), all Ready-to-Deploy. This allows for faster implementation and unified improvements. Pricing Model: Monthly fees outperform one-time setup fees. They provide continuity, prevent "starting from zero" each month, and eliminate friction around maintenance charges. #Clients to Avoid: - Companies under $1M revenue (require foundational work) - Businesses with undefined processes - Those expecting AI to solve cash flow problems - Clients without existing, functioning processes #Operational Tips: - Automate your internal processes - Keep onboarding and support initially manual to better understand clients - Invest in help desk software (I use the open-source solution from https://frappe.io/helpdesk) - Implement professional workflow monitoring (I use n8ops from https://www.n8ops.com) which gives me unified visibility across all client workflows. This has been transformative for proactive maintenance and quick troubleshooting, dramatically reducing downtime and improving client satisfaction. - Focus on rapid value creation (30% of my new clients come from referrals)

Are there tasks that can’t be automated using common tools like n8n right now? If so, include examples in the comment.

What’s the best way to hire a strong n8n / automation specialist? I’d love to hear your experiences — what worked, what didn’t, and what you’d do differently if you were hiring again. Specifically: - What skills or traits ended up mattering most? - Any red flags you didn’t see until later? - Did you prioritize platform-specific knowledge (like n8n) or broader API/automation logic? - Any go-to questions or test projects you recommend during the vetting process? Appreciate any wisdom this group can share