Freelancers using Vercel in Palermo
Freelancers using Vercel in Palermo
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Ciro
Buenos Aires, Argentina
Go to sleep, may your sweet dreams come true...
270
Followers
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Go to sleep, may your sweet dreams come true...
3
Surfing in Hawaii: A Hawaiian Rollercoaster Tribute Website
3
9
3
Kabuki Theatre Website
3
13
5
Heritage Soil Station: A NZ Website
5
20
4
Café à Lyon: A Sweet and Interactive App/Website
4
14
Vercel
(8)
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Agustin Dell Aquila
max
Palermo, Argentina
I design and build ✱ websites, ✦ products and apps
$50k+
Earned
37x
Hired
5.0
Rating
1.1K
Followers
Top
expert
+6
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I design and build ✱ websites, ✦ products and apps
0
midcode: the mid between code and no-code
0
33
1
Antique Woods Website and OS Development
1
35
3
Full Development of Flowerplot Website
3
44
155
I'm not where I want to be but I'm far from where I started So happy to have reached this milestone
69
155
5.1K
Vercel
(1)
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Juani Vallejos
pro
Buenos Aires, Argentina
Workflow Automation & Wordpress Specialist
3x
Hired
5
Followers
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Workflow Automation & Wordpress Specialist
0
Custom Visual Email Builder connected to Email Funnels
0
27
0
Institutional Landing Page for a Real State Company
0
30
0
Xchange Bridge - Web Development, Web Design, Automation
0
38
0
GET THAT JOB! Landing & Automated Course
0
36
Vercel
(1)
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Cristian Chaves
Buenos Aires, Argentina
Algorithmic Trading & Fintech Developer | Python
New to Contra
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Algorithmic Trading & Fintech Developer | Python
1
I work in the railway industry by day — and build fintech tools by night. 🚂📈 I just launched a new Fiverr gig: a custom Options Flow Dashboard that shows real-time put/call volume, price overlay, and key stats in a sleek dark interface. This came from my own experience trading US options (AAPL, SPY, GGAL on BYMA) and needing a tool that actually shows market flow — not just price. My existing portfolio already includes: ✅ OptionsGuru — Black-Scholes + Greeks + AI chat ✅ CCL Radar — real-time ADR gap monitor ✅ BotSignal Latam — algo trading signals And now this dashboard is available for traders and devs who want it custom-built. Starting at $50. Real data via Polygon.io (http://Polygon.io) available. #fintech #freelance #optionstrading #tradingdashboard #buildinpublic
1
173
0
CCL Radar v2 — Argentine ADR/CEDEAR Arbitrage Monitor Real-time arbitrage monitor for Argentine ADRs and CEDEARs. Calculates implicit CCL exchange rate by comparing local ARS prices on BYMA vs USD prices on NYSE. Detects mispricings and generates automatic buy/sell signals. Configurable gap alerts, preset watchlists, snapshot and CSV export.
0
188
0
AlgoTrader Pro — IBKR Automated Trading Bot Automated trading bot for Interactive Brokers with real-time WebSocket dashboard. 3 strategies: Mean Reversion, Momentum, EMA Cross. Trades NASDAQ Futures (NQ) and US stocks. Anti-PDT protection, trailing stops, TradingView webhook integration. Paper & live modes. 68% win rate in paper trading.
0
159
0
OptionsGuru — Real-Time Options Analytics Platform Real-time options analyzer powered by Black-Scholes pricing and full Greeks calculation (Delta, Gamma, Theta, Vega). Evaluates calls and puts across NYSE, NASDAQ and BYMA — scoring each contract by Edge $, IV/HV ratio and signal quality to identify optimal entry points. Export to CSV included.
0
167
Vercel
(2)
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Gaston Chevarria
Buenos Aires, Argentina
AI Automation Expert | n8n, Make, WhatsApp AI & AI Agents
New to Contra
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AI Automation Expert | n8n, Make, WhatsApp AI & AI Agents
0
AI Systems Architect & Automation Engineer building production-grade AI agents, conversational bots, and business automation pipelines for LATAM and global clients. With 10+ years of experience, I specialize in eliminating manual work through intelligent systems — from WhatsApp/Telegram AI chatbots with CRM integration to autonomous lead generation engines that prospect, qualify, and deploy personalized web experiences on-demand. Current roles: BI & AI Solutions Lead at Cognizant (Google) — architecting BI ecosystems and driving AI-driven digital transformation Founder of InnovasHub — an AI-powered B2B SaaS platform that turns static product images into 4K cinematic video commercials using Google Veo 3.1 and Gemini 3 What I build: AI agents for email/WhatsApp marketing automation Lead generation & scoring engines (NVIDIA NIM, multi-model fallback) n8n & Make workflow templates for sales, marketing, and operations WhatsApp & Telegram chatbots with smart human escalation Autonomous B2B outreach systems that generate and deploy websites automatically AI marketing automation pipelines with approval queues and CRM sync Tech stack: Python · Node.js · TypeScript · React 19 · FastAPI · n8n · Make · Google Gemini · Claude · NVIDIA NIM · Vercel · GCP · Docker · PM2 Trusted by: Google · Mercado Libre · LATAM enterprises
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40
0
Elite Web Solutions — Full-Service Digital Growth & Web Development Elite Web Solutions is a full-service digital growth and web development studio focused on helping businesses build a strong online presence and generate measurable results. I lead the technical side of the operation: designing and developing modern websites, landing pages, and automation workflows that connect marketing, CRM, and business processes into one cohesive system. The work includes custom web development, API integrations, performance optimization, and scalable infrastructure so clients can grow without worrying about their tech stack.
0
29
0
Mesa Llena — Websites and WhatsApp Automation for Restaurants Mesa Llena is a productized service that builds conversion-focused websites and automated WhatsApp systems for restaurants across Argentina. It helps restaurant owners get more reservations and orders 24/7, even when the staff is offline. I designed and developed the full solution: the website, the reservation flow, and the WhatsApp automation that sends menus, answers common questions, and handles bookings automatically. The goal is to turn WhatsApp from a manual chat into a scalable reservations engine, so restaurants can grow without hiring extra front-desk staff.
0
30
0
Atlantik AI — AI Consultation Agency Type: SaaS/AI Service Business Description: Building an AI consultation agency targeting USA and LATAM markets, delivering custom AI agents, automation workflows, and LLM integrations for clients Tech: Python, Node.js, Gemini/Claude APIs, Google Cloud Platform, Docker Results: Mention any clients, revenue, or pilot projects
0
26
Vercel
(1)
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Elisa Cipriani
pro
Buenos Aires, Argentina
Multidisciplinary Designer working across visual identity
$1k+
Earned
1x
Hired
35
Followers
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Multidisciplinary Designer working across visual identity
1
Artist' Website Design
1
419
2
Portfolio Website Design
2
398
12
Tre Sorelle's Strategy, Content & Daily Management
6
12
609
2
Tre Sorelle's Collection I, Origine
2
310
Vercel
(2)
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Francisco Guzmán
pro
Buenos Aires, Argentina
Full-Stack Dev & Prod Designer building world-class apps.
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Full-Stack Dev & Prod Designer building world-class apps.
0
V30.ai (https://V30.ai) home screen
0
61
0
V30.ai (https://V30.ai) landing page Hero.
0
68
0
Knowledge base for V30
0
67
0
V30.ai splash screen
0
30
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(2)
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Axel Lubel
San Isidro, Argentina
Fractional Product & Data Director | AI & B2B SaaS
New to Contra
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Fractional Product & Data Director | AI & B2B SaaS
0
REBUILD — AI-Powered Adaptive Training Built an AI-powered product end-to-end, from product strategy and data model to deployment and evaluation. - Adaptive training plans based on real user performance - Structured AI outputs with validation and guardrails - Full-stack build with Next.js, Firebase and Vercel - Designed inference costs and scalability into the product
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99
1
Cutting a 29-Product Portfolio Down to What Actually Sells Problem. A portfolio of 29 products grown organically from client requests. An audit found that none of them were commercially ready to sell: no pricing model, no sales enablement, almost no documentation. Engineering capacity was spread across products nobody could monetize. Action. Ran a full portfolio triage against strategic value and commercial viability, landing on four dispositions: keep, evolve, research, kill. The hard part was not the analysis — it was that several kill candidates still carried live revenue, so each one needed a migration path rather than a shutdown date. Paired the triage with an operating model change: no new product enters a build sprint without a named first client and a signed-off commercial definition. Result. Portfolio reduced to a focused set with explicit migration paths for everything retired, and a governance gate that stopped the pattern from repeating.
1
219
1
From 7 Fragmented Data Sources to One Customer Identity Model Problem. Seven disconnected Data Sources, no single customer identity, no traceability. Every business question turned into a reconciliation exercise before it could become a decision. Action. Designed a Single Source of Truth with one customer identity model and explicit data stewardship. Ran the stack decision myself: evaluated AWS S3 + Athena against Redshift and BigQuery on three criteria — total cost at our data volume, existing team skillset, and time to first useful query. Chose S3 + Athena; the cost profile and the zero-ramp for the team beat the query performance advantage of the alternatives at our scale. Built the analytics layer on Power BI + Microsoft Fabric. Result. An LLM-driven BI product adopted by 10 enterprise operators at daily and weekly cadence — the measure that mattered was recurring use, not dashboards delivered.
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135
1
AI-Powered Dynamic Pricing for a B2B Transportation Platform Problem. Passenger transport operators on a LatAm B2B SaaS platform were setting fares by intuition. No visibility into yield, load factor, or route-level profitability — and no way to act on a pricing signal fast enough for it to matter. Action. Defined and shipped an AI-assisted revenue management system on top of ~20 years of transactional data. Built the pricing signal layer (yield, load factor, average fare, route profitability), then closed the loop so recommendations became executable price changes rather than reports nobody acted on. Prioritized execution latency over model sophistication — the constraint was operator workflow, not prediction accuracy. Result. System in production with 10 enterprise operators, running pricing decisions on data instead of instinct.
1
124
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(1)
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