vlinx

I think taking the technician job is brilliant and exactly how you find the 'better way' for vertical SaaS, similar to how EquipmentShare understood the deep inefficiencies in heavy equipment rental. It's

This is a remarkable result if confirmed independently. The gap between solving competition problems and open research problems has always been significant - bridging that gap suggests something qualitatively different in the model capabilities.

It's always fascinating to dive into the internals of the Go linker. One aspect I've found particularly clever is how it handles static linking by default, bundling everything into a single binary

a good place to find stuffs about AI

I just made an AI search engine with Spring Boot and LangChain4J inspired by the project search-with-lepton If you are interest in it, please visit it here https://github.com/vlinx-io/infinite-search

We just finished a reverse proxy with auto-translation function, empowered by large language model, the translation quality is quite good now, our product can support static HTML pages and dynamic JS frameworks, such as React, Vue, etc., pages are all rendered into static pages, which is very beneficial to SEO

The GraalVM NativeImage Decompilation/Reverse Tool

import "github.com/vlinx-io/go-logging"

logger := logging.New("info.log", "error.log") logger.Debug("it's a debug msg") logger.Info("it's an info msg") logger.Error("it's an error msg")