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Drag-and-drop recruitment pipeline built with React and MongoDB — manage candidates across hiring stages in real time.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Gestión nativa de contenido y arquitectura orientada a la seguridad con React & MongoDB
Nueva demo de la app de biblioteca digital. En este video muestro la evolución del módulo de registro de libros, donde ahora permitimos incorporar y almacenar el contenido completo del texto directamente dentro del sistema.
Puntos clave de esta implementación:
Manejo de Texto Completo: Formulario preparado para la ingesta y edición de textos extensos en el registro del libro.
Almacenamiento Nativo en Base de Datos: Todo el texto se persiste directamente en MongoDB, manteniendo la consistencia de los documentos sin fragmentar la arquitectura.
Enfoque en Seguridad & Privacidad: Para esta funcionalidad crítica, opté deliberadamente por no depender de servicios o APIs externas de terceros, garantizando la soberanía de los datos, reduciendo la superficie de ataque y manteniendo el control total de la información en el backend.
Stack técnico utilizado:
Backend (Node.js & Express): Validaciones de tamaño y sanitización de entradas en el servidor para prevenirlos ataques por inyección antes de persistir la información.
Base de Datos (MongoDB & Mongoose): Esquema optimizado para almacenar documentos de texto con consultas directas y eficientes.
Frontend (React 19): Interfaz fluida y reactiva para el procesamiento y carga de contenido.
¿Qué opinan de priorizar el almacenamiento nativo por seguridad frente al uso de servicios externos? ¡Los leo en los comentarios! 👇
#reactjs #mongodb #nodejs #security #fullstack #webdev #javascript #backend #portafolio
FLRanked
Competitive platform for music producers. Producers compete in timed 20-minute beat-making matches, all starting from the same melody file. The community votes, and an ELO system moves players across 12 rank tiers. Built with Next.js, with Discord integration that syncs ranks automatically. The hard part wasn't the interface. It was designing a ranking system that stays fair when the judges are the players themselves. The platform is live with an active player base.
A couple of additions that work well for self-judged platforms: give new players a provisional rating with a higher K-factor until they've played ~20 matches, so they climb to their real tier quickly instead of getting stuck low; and keep an eye on vote patterns — if a specific...
Amix
A subscription product for finding the same clothing item cheaper across retailers. You search by product name, by pasting a URL, or by uploading a photo, and an outfit mode breaks a full look into individual pieces and searches each one separately. Results are filtered by the user's own measurements and scoped to Hungary, Europe or worldwide.
Behind the search sits the rest of a real product: account creation with Google and GitHub sign-in, email verification, password reset, an image upload pipeline, subscription plans with per-plan usage quotas, and payment handling.
The hard engineering problem was matching. The same jacket is listed under a different name by every retailer, shot on a different background in different light, so items have to be matched from the image itself. The backend runs on Node's standard library with zero npm dependencies, containerised and deployed close to the retailers it queries.
Two-stage matching is the classic way to keep this fast on a lean stack: run a cheap pre-filter first — perceptual hash or color-histogram distance on small thumbnails — to drop most candidates, then run the expensive matcher only on the survivors. Normalizing images before...