We built NoteVault because private photos, videos, and documents should not be obvious on your phone.

Most hide apps just move files into a hidden folder or use a fake calculator disguise. NoteVault is different: it looks and works like a genuine Material 3 notes app, and only reveals the encrypted vault when you type your secret trigger word in the search bar.

What makes it different:

• 100% offline, zero cloud, zero accounts

• AES-256-GCM encrypted vault

• Real notes app on the outside, private vault on the inside

• Fingerprint, PIN, pattern, and password unlock

• Multiple isolated vaults

How are you classifying AI systems under the EU AI Act today?

One thing I've noticed is that many teams understand the broad concepts of the EU AI Act but aren't always sure how to apply them to a specific AI use case.

So I built a small side project to help.

It's a free interactive EU AI Act Classifier that walks through a series of questions and provides an indicative classification to help start governance discussions.

A fully autonomous RPG ecosystem that runs itself.

There s a moment that almost everyone dreads after a trip or a group outing.

We built DocDot and are getting close to launch. I m posting because I still want a round of honest product feedback before we put it in front of more people.

DocDot is a local PDF parsing workflow for macOS. You can install multiple parsers with one simple command: curl -fsSL https://docdot.ai/install.sh | bash, compare outputs side-by-side with our web UI, switch parsers them depending on the file, and plug directly into agents. Right now we support NanoDoc (our in-house parser), PaddleOCR, GLM-OCR, LiteParse, and MinerU.

What I m still trying to get right is the product feel on first use. When someone opens a tool like this, what matters most, and where do you need more guidance?

If you work with PDFs a lot, where do tools in this category usually start to get annoying?

Online shopping makes it easy to discover clothes, but I often find the actual purchase decision surprisingly difficult.

A discount can make an item attractive, but it doesn t answer questions such as:

Is this actually worth buying?
How would I style it?
Does the fit look right?
Am I buying it because I like it, or only because it is on sale?

This led me to build Crazy Sajangnim, a project that combines designer-fashion sale discovery with a fashion community. Shoppers can explore discounted products from Korean and U.S. retailers, then use an integrated blog to share shopping lists, post fashion finds, discuss styling and fit, and receive feedback from other people interested in fashion.

TraceLogicAI is adding a new component designed to move AI governance beyond identifying problems.

The Remediation Engine will turn detected weaknesses into structured, actionable corrective plans.

When TraceLogicAI identifies a failure, the new component will generate:

Finding
The RAG response cited an outdated policy.

Hi Everyone,

Instructor by Passion and Test Lead by Profession.

Hi, I am Yogesh Dhiman, a passionate Educator, Cloud Practitioner, and Software Engineer (Bachelor of Technology in Computer Engineering) with over 175+ professional online courses helping thousands of learners build real-world skills and pass top IT certifications.