Jonathan Isrrael Caballero Morales, Software Engineer

Calculating a labor severance in Mexico means cross-referencing the Federal Labor Law, the Income Tax Law, and several exit scenarios (unjustified dismissal, voluntary resignation, employer-caused rescission, mutual agreement) that are rarely explained clearly. Quitanza MX solves that with a guided 3-step flow, salary and pay frequency, employment dates, and exit reason, automatically applying constitutional compensation, final settlement, seniority premium, and income tax withholding under the law in effect for 2026. Built with Next.js, React, TypeScript, and Tailwind CSS, it includes an advanced benefits configuration to adjust year-end bonus and vacation premium above the legal minimum. The calculation runs in the browser and results can be saved to a history to compare different exit scenarios.

Sthorme is an AI-powered marketing intelligence platform that helps companies, brands, and content creators understand their social media performance without getting lost in metrics. It pulls data from Instagram, Facebook, and other sources into a conversational interface: ask a question in plain language to spot top-performing posts, compare periods, find the best times to post, and get recommendations to sharpen your content strategy. The system is built with React, Next.js, TypeScript, and Turbopack on the frontend, and Python/FastAPI on the backend, deployed on Vercel with infrastructure on AWS. The UI combines Tailwind CSS, Shadcn UI, Radix UI, Framer Motion, and GSAP for a fast, polished experience, while integrations with Meta and Slack automate content generation and team collaboration, cutting hours of work down to minutes.

Applying on OCC and Computrabajo is repetitive by design: search, open, read, click, go back. ChambaFlow eliminates that cycle with a bot that attaches to your active browser session, without storing or intercepting credentials, because the right approach was to never need them. The technical bet was remote debugging: instead of managing authentication (brittle, hard to maintain), the bot inherits your already-open session and operates from there. The entire configuration, keywords, platforms, filters, lives in a single YAML file.

Aparecen.mx is a free civic tool designed to help families, collectives, and citizens in Mexico quickly generate search alerts for missing persons. The platform automates design using emergency communication principles: high contrast, strong visual hierarchy, and optimization for both social media and physical printing. The key design decision was privacy: all data is processed entirely in the user's browser (client-side), with no databases, no storage, and no external data transmission.

Pásalo is a community-driven platform designed to redistribute items locally without friction. Unlike traditional classifieds, there is no buying, selling, or negotiation, the focus is on directly connecting people who have useful items with those who actually need them. The system prioritizes immediacy and user experience: posting takes seconds, browsing adapts to your location, and interactions are designed to be clear and frictionless. More than a listings app, Pásalo aims to promote a culture of reuse, reducing waste while strengthening local communities through thoughtful technology.

Most Mexicans use their CURP without knowing what each character encodes. DescífraMX dismantles it visually in real time: date of birth, state, sex, check digit, and flagged words, field by field, with context. With over 1,000 recorded queries and a public REST API documented with OpenAPI, the most important decision was privacy-by-design: no data leaves the browser. No backend, no logs, no database.