Freelancers using HubSpot in SpainFreelancers using HubSpot in Spain
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Hugo Bernard's avatar
Hugo Bernard
Barcelona, Spain
I build growth engines, not campaigns.
New to Contra
I build growth engines, not campaigns.
Cover image for Result: 40x content throughput. Zero
Result: 40x content throughput. Zero additional headcount. Before: Property Filter produced one member success story per month, maximum. Every step was manual: interview, writing, editing brief, blog article, social copy. Short-form video: zero. SEO-optimised articles: zero. What I built: A multi-stage AI production system using Claude. One coordinator types a single command after each member interview. The system generates: a timestamped video editing blueprint for the editor; a full SEO and GEO-optimised blog article using a validated canonical template; a publishing checklist for the web team; platform-specific social copy for 4-5 short-form clips. HubSpot MCP pulls the member's data in automatically. Automated Slack messages route each output to the right person in the right channel. Not automation replacing humans. An intelligence layer that makes every person in the pipeline perform at a higher level. After: 10+ stories per week. 4-5 short-form clips per story (previously zero). Substantially better video quality because editing briefs are precise and timestamped. Zero additional headcount.
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Cover image for Result: Tripled inbound MQLs. Improved
Result: Tripled inbound MQLs. Improved conversion at every funnel stage. Before: Growth was slow. Standard instinct said: spend more on acquisition. The data said otherwise. What I did: Ran a reverse funnel calculation that showed the real constraint was conversion rate, not top-of-funnel volume. Extra ad spend would have amplified a leaky funnel. Rebuilt the value proposition and product positioning. Overhauled the website on HubSpot CMS with redesigned information architecture, full SEO build, and conversion-focused UX. Rebuilt CRM automation: nurturing sequences, lifecycle stages, automated qualification logic. After: x3 inbound MQLs. Conversion improved at every stage. Structural growth, not campaign-driven. The rebranding was later validated by Marion Lemoine, Team Lead CSM at HubSpot: "The rebranding was seamless, customer-focused, and impactful. I'm sure this will bring a lot of new leads to the company."
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50
Cover image for Result: 50 webinar attendees (MQLs)/week
Result: 50 webinar attendees (MQLs)/week and 60 demo requests/week on autopilot. Everything built from zero. Before: Zero evergreen digital acquisition. Every lead came from an active campaign. What I built in 6 months: SEO engine: 6 topic clusters, 60-article editorial calendar, 5 pillar pages. Full architecture designed and deployed in 2 weeks. Paid media: evergreen system across Meta and Google (not campaign management). 32-script ad creative library. 50+ published customer UGC videos. 20+ customer studies articles optimised for SEO GEO. A/B/C test iterations on emails, forms, landing pages, CTAs. HubSpot: custom pipeline stages, full multi-channel attribution, automated lifecycle workflows from first touch to onboarding without human intervention. Canva brand system: 1 brand kit, 200+ assets, 15+ templates, team trained to produce on-brand content independently. Webinar infrastructure: 1,500 registrations, 600 live attendees, 40% show rate. After: 50 webinar attendees (MQLs) per week and 60 demo requests per week, arriving without active management. Counter-cyclical context: UK buyer demand fell 13% and proptech funding hit an 8-year low during this period.
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60
Cover image for Property Investor Blueprint Challenge Result:
Property Investor Blueprint Challenge Result: 1,500 registrations. 600 live attendees. 40% show rate. Before: Property Filter needed a flagship lead generation event. There was no event infrastructure, no creative system, and no automation to handle registrations at scale. What I built: Co-Designed with the founders and executed the Property Investor Blueprint Challenge end-to-end. Topic strategy first: identified the highest-anxiety question in the target audience and structured a live challenge format around solving it. Drove registrations via paid media across Meta and Google using a creative library developed for the broader campaign. Built full HubSpot automation: confirmation sequences, multi-touch reminder flows, post-event lead nurture routed by attendance behaviour. All creative assets designed and produced in Canva using the brand system I built. After: 1,500 registrations. 600 live attendees that stayed for 3 days. 40% show rate, well above industry average for B2B webinars. The event became a repeatable acquisition and sales channel, not a one-off.
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HubSpot(4)
Andrea | Kutuka Studio's avatar
Andrea | Kutuka Studio
Barcelona, Spain
Social Media Strategist & Content Creator
$1k+
Earned
3x
Hired
5.0
Rating
94
Followers
TOP_INDEPENDENT

Top

Social Media Strategist & Content Creator
Cover image for Work for Impact - Social Media Coordinator
Work for Impact - Social Media Coordinator
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155
Cover image for Social Media Management - ANSWR
Social Media Management - ANSWR
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25
Cover image for The Canggu Studio - Digital Marketing
The Canggu Studio - Digital Marketing
3
264
Cover image for Musc Intime - UGC Strategist & Video Editor
Musc Intime - UGC Strategist & Video Editor
5
246
HubSpot(1)
Javier Martinez's avatar
Javier Martinez
Spain
24/7 AI Automation | Receptionist + Sales + Workflows
11
Followers
24/7 AI Automation | Receptionist + Sales + Workflows
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: → 🐍 Python scraper connected to Denmark's public government CVR database → 📊 Google Sheets synchronization to normalize and deduplicate companies → ✉️ Automated cold email workflow with 10 sector-specific templates using n8n → 📱 Daily Telegram reports with full pipeline statistics → 💼 Assisted LinkedIn outreach: 10 leads per day + a ready-to-send message And these are the numbers: 📈 19,334 leads in the database 📧 71% email coverage 🏭 10 sectors 🔢 34 industry codes ✉️ 25 automated emails per day ♾️ ~534 days of outreach without repeating a lead 💰 $5/month total cost — 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 → design the system → automate them → 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. 👇 #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: • Orchestration: n8n scheduled trigger at 08:00 AM. • Data Sources: Google Sheets (Parallel execution) + Industry RSS feeds. • AI Layer: GPT-4o mini analyzing metrics and writing executive insights (< $0.01 per run). • Delivery: Formatted Telegram notification.
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Cover image for Building custom AI architectures that
Building custom AI architectures that actually scale. 💻⚡️ Here is a peek under the hood of a production-ready AI system: • Terminal: Claude Code as the primary engine. • Harness: Gentleman AI for memory persistence (Engram) and spec-driven development (SDD). • Automation Server: Self-hosted n8n running on a dedicated Hostinger VPS.
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Cover image for Built a full AI consulting
Built a full AI consulting business system — 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 — 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 (≤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 1200×630px for social sharing, and a performance fix for a Framer Motion bug that was silently blocking the page's Largest Contentful Paint — 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 — 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 — 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 → 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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58
HubSpot(1)
Francisco Mimò's avatar
Francisco Mimò
Madrid, Spain
CRM & Automation Consultant | Growth Systems for B2B Teams
1x
Hired
5.0
Rating
7
Followers
CRM & Automation Consultant | Growth Systems for B2B Teams
Cover image for Automated SDR Pipeline for Crypto Marketing
Automated SDR Pipeline for Crypto Marketing
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13
Cover image for CRM and Email Marketing Automation for Enhanced Lead Generation
CRM and Email Marketing Automation for Enhanced Lead Generation
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35
Cover image for Automating Sales Processes for Architectural Growth
Automating Sales Processes for Architectural Growth
1
128
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HubSpot(1)
Dimitri Appel's avatar
Dimitri Appel
Barcelona, Spain
AI Workflow Architect & Automation Expert
8
Followers
AI Workflow Architect & Automation Expert
Cover image for Customer Onboarding Automation with n8n
Customer Onboarding Automation with n8n
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26
Cover image for AI Invoice Automation via Telegram, OCR & SAP Integration
AI Invoice Automation via Telegram, OCR & SAP Integration
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66
Cover image for AI Appointment Scheduler (n8n + Twilio + Cal.com + Airtable)
AI Appointment Scheduler (n8n + Twilio + Cal.com + Airtable)
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28
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HubSpot(1)