Nguyen Viet Hoang

Ask Neurix follows strict principles:

• Uses only your uploaded knowledge (and shared nodes you received)

• Retrieves nodes via relevance + recency + semantic intent

• Answers with source citations (verifiable, not magical)

• Uses external knowledge only with your permission (optional expansion)

• Let's you save great answers as new nodes to grow your graph

If you already have a graph: ask immediately.
If not, create your first few nodes + connections your graph will start forming.

I d love feedback from the community:
What makes retrieval feel trustworthy to you in the UI (sources, ranking explanation, confidence, etc.)?

Neurix now has a mobile PWA because remembering and connecting ideas doesn t happen only at your desk.

You re in the middle of work, studying, commuting you catch an insight and think I ll save it later.
Ten minutes later, it s gone. Not because you re lazy but because knowledge capture is an anytime need.

So I shipped a lightweight, app-like experience on your phone:

• No storage needed (no app download)

• Fast & minimal like an app

• Connected directly to the web version

I started as a math-focused student. I fell in love with logic the way numbers relate, the way patterns reveal structure, the way a single correct connection can make an entire problem suddenly make sense.

Then I took an unexpected turn in university: criminal investigation. On the surface, it looked far from math. But the deeper I went, the more familiar it felt. It was still logic just expressed differently: behavior linked to evidence, people linked to events, and everything mapped onto the framework of the law. Different domain, same essence: relationships.

That experience rewired the way I see knowledge. I began noticing invisible links across disciplines ideas flowing from one field to another even when most people treat them as unrelated. Patterns in human behavior can be modeled. Real-world phenomena can be abstracted. Systems can be understood through signals, constraints, and connections. Knowledge doesn t live in isolated folders it moves.

After years of learning and working, I returned to data and logic almost like coming home. Becoming a DBA and studying data science and AI gave that old obsession a clearer shape: I didn t just want to store information. I wanted to connect fragmented knowledge into a coherent picture.