Freelancers using Python in Capela do AltoFreelancers using Python in Capela do Alto
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Diego Lopes's avatar
Diego Lopes
Sorocaba, Brazil
Building AI Agents & SaaS with Next.js
8
Followers
REPLIT_EXPERT

Expert

Building AI Agents & SaaS with Next.js
Cover image for LeadInsights: Data Mining Tool (Developed
LeadInsights: Data Mining Tool (Developed in Replit) A Python-based lead qualification tool. The entire development lifecycle, from initial scripting to final debugging, was executed within the Replit cloud IDE. Replit Development Workflow: Zero-Setup Environment: Leveraged Replit's pre-configured Python environment to immediately start coding complex data processing scripts using pandas and BeautifulSoup without local dependency hell. Interactive Debugging: Utilized the Replit Shell heavily to run ad-hoc data scraping tests and inspect data frames in real-time before integrating them into the main application logic. Package Management: Managed Python dependencies directly through the Replit console, ensuring a reproducible development environment. Stack: Python, Pandas, Web Scraping Libraries (Developed directly in Replit).
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Cover image for SaaS Platform: TENET AI (Built
SaaS Platform: TENET AI (Built on Replit) A multi-tenant AI agent platform developed entirely within the Replit ecosystem. Replit-First Workflow: Cloud IDE: Used Replit as the exclusive environment to build complex Python/FastAPI microservices without local setup. AI Assisted: Leveraged Replit Ghostwriter to accelerate boilerplate generation for the multi-agent orchestration logic. Debugging: Utilized the Replit Shell for real-time testing of WhatsApp API webhooks before pushing to production. Stack: Python, FastAPI, PostgreSQL. (Production deployed via Railway, Development via Replit).
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Cover image for BudgetCalc - Smart Project Estimator
BudgetCalc - Smart Project Estimator
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Cover image for Official Website: TENET AI (High-Conversion
Official Website: TENET AI (High-Conversion Landing Page) The public-facing portal and onboarding flow for the TENET AI ecosystem. Built with Replit: Rapid Prototyping: Used Replit's instant preview environment to iterate on the UI/UX design in real-time without local server setup. Frontend Performance: Optimized assets and code splitting directly within the Replit editor to ensure high Lighthouse scores. Zero-Config Dev: Leveraged Replit's pre-configured templates to jumpstart the development of the responsive layout. Stack: HTML5, Tailwind CSS, JavaScript (Developed in Replit).
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136
Python(3)
Harley Soncim's avatar
Harley Soncim
Sorocaba, Brazil
AI Automation & API Developer for Startups and SaaS
New to Contra
AI Automation & API Developer for Startups and SaaS
Cover image for Exploring Scalable Backend Solutions for Freight Platforms
CargaClick1 is an experimental and development-focused version of the CargaClick platform. The main objective of this repository is to test and validate new technical approaches for the freight marketplace system, including backend architecture, API integrations, routing logic and cloud deployment strategies. While another CargaClick project exists as the main production-oriented repository, CargaClick1 focuses on prototyping, infrastructure experiments and system improvements before they are integrated into the primary platform. This project explores scalable backend structures, logistics workflow automation and integration with external services such as routing APIs and cloud infrastructure. Technologies involved include backend frameworks, containerized deployment, database design and API-driven system architecture.
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Cover image for https://github.com/Harleysoncim/sra-guiding-star
https://github.com/Harleysoncim/sra-guiding-star
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Cover image for AI-powered price intelligence system that
AI-powered price intelligence system that collects market data and generates insights using automation.
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Cover image for GitHub - Harleysoncim/cargaclick: Sistema de fretes modais
GitHub - Harleysoncim/cargaclick: Sistema de fretes modais
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Python(1)