Freelancers using LangChain in MadridFreelancers using LangChain in Madrid
Tech Lead | Solution Architect | AI Engineer
    139
    Followers
Tech Lead | Solution Architect | AI Engineer
Cover image for πŸš€ New promotional video for
πŸš€ New promotional video for my experimental project: Orbital Forecast πŸ›°οΈ Every day, An agent is forecast the Bitcoin’s closing price. The project combines AI forecasting with a futuristic orbital-space interface. πŸŽ₯ Promotional video created with Seedance 2.5. πŸ”— Check out Orbital Forecast (https://btc-forecast.vercel.app/?utm_source=chatgpt.com)
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Cover image for Post your ideas, or random
Post your ideas, or random thoughts anonymously. Get ratings and opinions from people everywhere, no sign-up. https://rateidea.us/
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Cover image for https://dealy.figma.site/ 

Latest Updates πŸš€
πŸ“ Improved
https://dealy.figma.site/ Latest Updates πŸš€ πŸ“ Improved User Location Accuracy The map now centers precisely on the user's current location. Increased zoom levels make it much easier to identify the exact position and nearby points of interest. 🌐 Domain Update Renamed the domain to better reflect the application's purpose and branding. Tech Stack Supabase Next.js Skills & Focus Areas UI/UX Design Next.js Best Practices Geolocation & Mapping Frontend Performance Optimization Small improvements like these can make a significant difference in usability and overall user experience.
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AI & SaaS Developer with Product Expertise
AI & SaaS Developer with Product Expertise
24/7 AI Automation | Receptionist + Sales + Workflows
    18
    Followers
24/7 AI Automation | Receptionist + Sales + Workflows
Cover image for From prospect list to personalized
From prospect list to personalized proposal β€” fully automated, no manual research required.
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Cover image for I built my own lead
I built my own lead generation machine because I moved to Denmark with zero network. I moved to Denmark. I didn't know anyone. I had no network. And I needed to find companies I could sell automation services to. I could spend hours manually searching for companies, finding emails, cleaning data, and sending messages one by one. Or I could automate the process. So I built a complete lead generation pipeline: β†’ 🐍 Python scraper connected to Denmark's public government CVR database β†’ πŸ“Š Google Sheets synchronization to normalize and deduplicate companies β†’ βœ‰οΈ Automated cold email workflow with 10 sector-specific templates using n8n β†’ πŸ“± Daily Telegram reports with full pipeline statistics β†’ πŸ’Ό Assisted LinkedIn outreach: 10 leads per day + a ready-to-send message And these are the numbers: πŸ“ˆ 19,334 leads in the database πŸ“§ 71% email coverage 🏭 10 sectors πŸ”’ 34 industry codes βœ‰οΈ 25 automated emails per day ♾️ ~534 days of outreach without repeating a lead πŸ’° $5/month total cost β€” basically just the VPS. The interesting part isn't the scraper. It's not n8n. It's not Telegram. The interesting part is that a process that used to take hours of manual work can now run almost entirely on its own. And that's exactly what I want to build for companies: Find repetitive processes β†’ design the system β†’ automate them β†’ measure the results. In the video, I break down the entire pipeline, piece by piece. If you're building something similar, let me know which part you'd like me to break down next. πŸ‘‡ #Automation #AI #LeadGeneration #n8n #Python #ColdEmail #SalesAutomation #B2BAutomation #Denmark #BuildInPublic
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Cover image for How to replace a $2,000/mo
How to replace a $2,000/mo manual reporting task with a $3/mo AI workflow. ⚑️ Here is a look under the hood of our automated CEO Daily Briefing system: β€’ Orchestration: n8n scheduled trigger at 08:00 AM. β€’ Data Sources: Google Sheets (Parallel execution) + Industry RSS feeds. β€’ AI Layer: GPT-4o mini analyzing metrics and writing executive insights (< $0.01 per run). β€’ Delivery: Formatted Telegram notification.
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Cover image for Building custom AI architectures that
Building custom AI architectures that actually scale. πŸ’»βš‘οΈ Here is a peek under the hood of a production-ready AI system: β€’ Terminal: Claude Code as the primary engine. β€’ Harness: Gentleman AI for memory persistence (Engram) and spec-driven development (SDD). β€’ Automation Server: Self-hosted n8n running on a dedicated Hostinger VPS.
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