Freelancers using LangChain in Madrid
Freelancers using LangChain in Madrid
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Facundo Cappella
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Madrid, Spain
Tech Lead | Solution Architect | AI Engineer
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Tech Lead | Solution Architect | AI Engineer
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Post your ideas, or random thoughts anonymously. Get ratings and opinions from people everywhere, no sign-up. https://rateidea.us/
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https://dealy.figma.site/ Latest Updates π π 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. π 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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Hello, I just built a simple tool similar to Canva that lets you create custom banners. I originally made it for personal use, but I decided to make it public in case it could be useful for others. Feel free to use it, and if you have any suggestions or feedback, Iβd really appreciate it. https://ln-banner-generator.vercel.app/
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Alex Mamaev
Madrid, Spain
AI & SaaS Developer with Product Expertise
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AI & SaaS Developer with Product Expertise
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Developing a Chatbot and Widget for Property Managers
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Developing an AI-Powered Tool for Gathering Customer Feedback
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Chrome Extension for Scheduling Meetings Globally
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Javier Martinez
Spain
24/7 AI Automation | Receptionist + Sales + Workflows
New to Contra
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24/7 AI Automation | Receptionist + Sales + Workflows
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From prospect list to personalized proposal β fully automated, no manual research required.
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Built a full AI consulting business system β from website to outreach machine. For a boutique AI consulting firm targeting mid-market companies in the US and Europe, I designed and shipped the full technical stack: Production website (React + TypeScript + Express) Not just a landing page. A conversion machine: lazy-loaded routes, per-page SEO metadata, structured data for Google, a sitemap, an OG image for social sharing, and Lighthouse-ready performance fixes (including a Framer Motion LCP bug that was silently tanking search rankings). AI Diagnostic Tool A multi-step lead qualification form that calls Claude under the hood, generates a personalized automation ROI report for each prospect, and delivers it at a unique URL β with prompt injection protection baked in (XML-delimited user inputs, system prompt hardening). Security layer CSP headers, correct trust-proxy config for a Cloudflare + Railway dual-hop topology, hardened email notification logic, and temp file cleanup that survives errors. Production-grade, not tutorial-grade. LinkedIn prospecting engine A Python + Playwright scraper that: Rotates across 10 industry niches Qualifies leads by title, location, and post recency Auto-generates personalized connect requests (β€300 chars) and follow-ups via Anthropic API Exports to Excel, deduplicates across runs Currently targeting Property Management decision-makers in Florida & Texas This is what "full-stack AI consulting infrastructure" actually looks like in practice. What was built A production-ready AI consulting business stack, covering six layers end to end. On the frontend, a React SPA with TypeScript, lazy-loaded routes, per-page SEO metadata via react-helmet-async, and full internationalization in English, Spanish, and Danish. The SEO layer included a sitemap, robots.txt, JSON-LD structured data schemas for Google, a custom OG image at 1200Γ630px for social sharing, and a performance fix for a Framer Motion bug that was silently blocking the page's Largest Contentful Paint β meaning Google couldn't properly index the main headline. The backend is an Express + TypeScript API deployed on Railway, hardened with Content Security Policy headers, correct trust proxy configuration for a Cloudflare + Railway dual-hop topology, and proper temp file cleanup that survives errors. The AI feature is a multi-step diagnostic form that sends the prospect's business data to Claude, generates a personalized automation ROI report, and delivers it at a unique shareable URL β with prompt injection protection built in so user-submitted text can never hijack the LLM's instructions. On the security side, all user-controlled fields are wrapped in XML delimiters in the prompt, environment variable handling was hardened to eliminate silent fallbacks, and no sensitive data leaks through error paths. Finally, the outreach system is a Python + Playwright scraper that rotates across industry niches, qualifies leads by title, location, and post recency, then uses the Anthropic API to generate personalized LinkedIn connect requests and follow-up messages for each lead β exporting everything to Excel with deduplication across runs. Key technical problems solved LCP blocked by Framer Motion: opacity:0 on H1 prevented Google from indexing the headline. Fixed by rendering plain HTML on first paint. Prompt injection risk: All user-submitted fields wrapped in XML delimiters + system prompt instruction to treat them as data, not commands. Dual-hop proxy misconfiguration: trust proxy: 1 was wrong for a Cloudflare β Railway topology. Corrected to 2 to get real client IPs in logs and rate limiting. Location-aware lead qualification: Scraper's filter system refactored to support per-niche target_locations, enabling pivot from Danish to US markets without touching core logic.
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π We just systematized 100% of our sales with AI and Automation (and we're looking for top tier talent to run it) At JM Consulting, we don't sell theory; we sell growth systems and AI audits with a strict "ROI-First" approach. To prove it, we just documented our entire internal sales process using artificial intelligence. We've created the Sales Master Playbook v1.0, an operating ecosystem where the sales rep doesn't waste time on manual tasks, but simply "plugs and plays". What have we packaged into this step-by-step system? Everything a Closer or SDR needs to crush their metrics from day one: Aggressive & Clear Commission Structure: Our team earns a 15% commission (1 to 5 closes), 20% (6 to 10 closes), and up to 30% (more than 10 closes per month). The Ultimate Tech Stack: A complete setup integrating Claude, n8n, Apollo, Calendly, and Slack/Telegram. 3 Proprietary AI Agents: The rep gets the exact prompts to install a Lead Qualifier Agent, a Strategist Agent to prepare for calls, and a Closer Agent to generate winning proposals in minutes. n8n Automation Blueprint: The complete workflow, documented node by node. The system automatically prospects, qualifies, sends personalized emails, and pushes alerts directly to Telegram. The 90-Minute Routine: A daily framework where automation does 70% of the heavy lifting, allowing human talent to focus exclusively on calls and closing. Service Catalog & Objection Handling: Precise scripts to sell our AI Opportunity Audits and Quick Wins Sprints, including our signature "Yesterday Morning Method". Who is this for? π If you are a B2B sales professional (Closer/SDR) and want to join a team where technology does the boring prospecting for you, we have a deal for you. π If you want to implement this level of commercial infrastructure in your own company, these are the exact types of systems we build. The key to scaling isn't working more hoursβit's having the automation system do the heavy lifting so you can focus on the closing
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Yesterday and today we've been working intensively on the backend of our B2B prospecting system, and I want to share the results with you. We've gone from a manual and tedious process to an autonomous lead generation machine using n8n, Paperclip, and Apify. What exactly does this ecosystem we built do? π― Surgical Search: Every day, it tracks C-Level profiles (Directors, Leaders, Executives, Consultants) in the Property Management industry (Fast Ejendom). Today, for example, we pivoted the bot's entire memory to focus the strategy 100% on the Danish market π©π°. π΅οΈββοΈ Context Extraction: It doesn't just extract the profile. The system reads the prospect's recent LinkedIn posts to understand what they're currently working on. π€ AI-Powered Copywriting: Generate a connection message (under 200 characters, no empty promises) based on their latest post or achievements, and a follow-up message offering our AI-powered Opportunity Audit. π Live Sync: Everything is compiled into a structured spreadsheet with automatic status updates (Connect, Sent, Replied, Not Interested). The "hard work" of researching and copywriting is now done by AI in the background. Our team (and our clients' teams) only needs to focus on what matters: closing meetings and building real relationships. B2B prospecting doesn't have to be a time sink. If your sales team is still copying and pasting generic messages, they're leaving money on the table. What automation tool is saving your life this year? π hashtag#Automation (https://www.linkedin.com/search/results/all/?keywords=%23automation&origin=HASH_TAG_FROM_FEED) hashtag#Artificial (https://www.linkedin.com/search/results/all/?keywords=%23artificial&origin=HASH_TAG_FROM_FEED) Intelligence hashtag#B2B (https://www.linkedin.com/search/results/all/?keywords=%23b2b&origin=HASH_TAG_FROM_FEED) hashtag#LeadGeneration (https://www.linkedin.com/search/results/all/?keywords=%23leadgeneration&origin=HASH_TAG_FROM_FEED) hashtag#n8n (https://www.linkedin.com/search/results/all/?keywords=%23n8n&origin=HASH_TAG_FROM_FEED) hashtag#Apify (https://www.linkedin.com/search/results/all/?keywords=%23apify&origin=HASH_TAG_FROM_FEED) hashtag#B2B (https://www.linkedin.com/search/results/all/?keywords=%23b2b&origin=HASH_TAG_FROM_FEED) Sales hashtag#PropertyManagement (https://www.linkedin.com/search/results/all/?keywords=%23propertymanagement&origin=HASH_TAG_FROM_FEED)
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Sara Diez
Madrid, Spain
Product Leader | AI & Strategy | Discovery & Delivery
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Product Leader | AI & Strategy | Discovery & Delivery
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FounderNest β AI Columns
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Lana β A super-app for independent workers (gig workers)
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Lana Wallet β A banking core built in record time
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Skynet β Bringing together business and data engineering
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