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At Mehran University of Engineering and Technology (MUET), Jamshoro, results are traditionally announced via large, static PDF tables. But the main issue is: Every semester, the same story. Need to check your result? Open your laptop. Connect to the university network... or set up a VPN. Want to know your actual class or batch rank? Good luck guessing. That frustration became my latest project. To solve this, I set out to build the MUET Results Portal ( https://muetresults.vercel.app )—an independent, open-source lookup engine and administrative compiler that provides students with instant semester results, CGPA calculations, batch standings, and interactive academic calendars. Here is an engineering deep-dive into how I built it using a serverless GitOps pipeline, vanilla JavaScript SPA, and Gemini AI. 🛠️ The Architecture & Data Pipeline To keep the platform hosting costs at absolute zero while maintaining lighting-fast page loads, I designed a pre-rendered static pipeline. Rather than querying a database at runtime, all student data is compiled statically. Here is the GitOps workflow: Official PDF Release : The Mehran University Examination Department publishes a new results PDF. LLM OCR Parsing : Via a secure administrative panel ( /mokshadmin ), I upload the scanned PDF/image. A serverless backend function streams the document to the Google Gemini 1.5 Flash API , which returns structured JSON student records. Git Database Update : The approved JSON records are committed back to the repository's git-tracked database ( muet_student_gpa_dataset.csv ) using the GitHub REST API. CI/CD Pre-rendering Build : The new commit triggers a Vercel build hook. Node compilation scripts read the CSV database and: Group records and compile them into static runtime JSON structures. Pre-render complete static HTML folder structures for all batch rankings and departments. Regenerate SEO sitemaps ( sitemap.xml ). Instant Deployment : Vercel serves the pre-rendered static files instan

The problem I've been working with Manticore Search for about two years at EricaPRO , building the search layer for two financial data platforms. For the past year, that work has been a Laravel API. Manticore was never the problem. It's fast and it's stable. The problem was the gap between Manticore and Laravel. I had already built a package for this — laravel-manticore-search , a fluent builder over Manticore's HTTP/JSON API. It works, and it's still in use. But it's a client wrapper. Every feature had to be implemented manually. Every new filter or facet meant more custom architecture around the client, and none of the things Laravel gives you for free — models, migrations, pagination, casts — applied to it. Scout doesn't close that gap either. Scout gives you search() . No full query builder, no migrations for your indexes, sync is your problem. That's not a criticism — Scout abstracts over engines with completely different APIs, so it exposes the lowest common denominator. It just wasn't what I needed. What I needed was simple to describe and annoying to not have: something plug and play. Something Laravel way. Point Eloquent at Manticore and use Eloquent. The insight Manticore speaks the MySQL wire protocol. Out of the box, port 9306. You can connect to it with any MySQL client and run SQL. I had been using that port for two years without thinking about what it meant for Laravel. Because here's the thing: all of Eloquent — models, query builder, migrations, pagination, chunking — sits on top of a Connection and a Grammar . The grammar compiles builder calls into SQL for a specific dialect. That's the entire mechanism behind Laravel supporting MySQL, Postgres, SQLite and SQL Server with one codebase. So the real question was never "how do I re-implement Eloquent on top of Manticore's client?" It was "how thin can a Manticore grammar be?" If Manticore accepts MySQL-protocol connections and mostly-MySQL SQL, then a Laravel database driver — a custom connection plu

If you want to stream local media, this free and open source media server is just as good as Plex. But if you rely on remote access or live TV, prepare to tinker.

The Linkerd community has announced the release of Linkerd 2.20, introducing a series of performance, observability, and traffic management enhancements that further strengthen the CNCF-graduated service mesh's position as a lightweight alternative for Kubernetes networking. By Craig Risi

Demis Hassabis thinks the world needs an AI watchdog with the power to hit the brakes if frontier models become too dangerous. Writing in a blog post, the Google DeepMind CEO and cofounder said the US should lead the initiative, arguing that the country is the best place to set global standards "given its economic […]

Hello, I'm Maneshwar. I'm building git-lrc, a Micro AI code reviewer that runs on every commit. It is...

RGB TVs are the latest hotness in the world of televisions, and I’ve tested many of the latest models to see which you should buy.

There’s more to Google’s messaging app than you might realize.