hi, gilbert's heree

i started learning computers when i was 8. my parents came from a computer background, so technology was always around me. early on, i became fascinated by mobile apps, jailbreaking them, rooting android phones (back when it was called root and super root), and unlocking hidden system features that never surfaced normally. it was thrilling back then; it felt like real hacking.

then came counter-strike, every variation i could get my hands on: the original, cs 1.6, condition zero, half-life 2, zombie mode, and extreme community mods. i loved experimenting behind the scenes, swapping player skins, binding custom console commands, and tweaking variables like cs_mod 1 just to see how the game engine behaved.

i started writing what i thought was code at 14. it was notepad coding, editing raw text files, changing variables, and declaring them in function calls. i had no formal vocabulary for what i was doing back then. if i made a change and it worked, that was enough. i didn’t care about technical terms; i just loved experimenting.

i was endlessly curious, and that curiosity spilled over into networks. i spent weeks trying hard to crack the neighbor’s wi-fi using wireshark and brute-force scripts. of course, it never worked, since they hadn’t changed their default zte password, which is a stubborn combination of numbers, letters, and special symbols. but the process taught me how packets travel and how networks actually communicate.

real code started when i was 17. my first actual project was a static website built with pure html and inline css that displayed a picture of a car loaded from a local file. seeing that simple page come to life in a browser felt magical.

things turned serious in college. i threw myself into computer science, building countless projects, learning different programming languages, and exploring modern frameworks. it was an exhilarating period of discovering the depth of software engineering.

evelant grew directly out of that journey. it started as a college research project with my team under the name pointera, where our focus was reducing workflow friction and helping people stay in flow while browsing the internet.

the browser extension and web app are just an early start. building an assistant capable of truly reading and understanding any page on the web is an ambitious, experimental frontier, considering how vast and unstructured the internet is.

my goal for evelant is to rethink how ai can assist someone 24/7, giving billions of people their own intelligent companion that understands their context and helps them accomplish almost anything across their devices.

i’m still actively building what comes next: a centralized desktop application, autonomous ai agents that recursively learn behavior by doing, a mobile chat companion, and a portable browser that can analyze, summarize, and talk with pages anywhere, just like on a computer.