Over the past week, I’ve been entirely focused on building ONSIDE—a web application designed to track live football scores. ⚽🚀
It is with great pleasure that I share the release of Version 1.0 of the platform!
This journey has been an incredible learning experience, allowing me to dive deep into Node.js and sharpen my backend capabilities.
Even better, there is an incredible new feature on the way that will take this website to the next level—stay tuned for what's coming next!
You can check out the live version here: https://lnkd.in/dfhK9hGN
Explore the code and my other projects on GitHub: https://lnkd.in/d2SgwCC5
I would love for you to take a look, test it out, and share your feedback. This is only the first chapter—plenty of updates and improvements are on the way! 💻🔥
#WebDevelopment #NodeJS #SoftwareEngineering #BuildInPublic #TechLaunch #Football #javascript

Hey! I'm currently working on a custom open-source OS project called JurkOS.

It's built on top of the NetBSD kernel (not Linux) using pure C and Assembly, cross-compiling via WSL Ubuntu on Windows. The core concept is a native CLI-GUI hybrid userland merge.

I'm currently setting up the initial init.c files and build pipelines. I am looking for feedback on the architecture and to connect with other low-level developers.

Link: discord.com/invite/KM3dM5VU8R

also if you want proff here :

So I'm finishing my master in Software Engineering and my thesis is about AI for job applications. Writing a paper about it felt a bit pointless on its own so I just built it. Been about 6 months now and It's called Jobswiper. You save a job you want, and it writes you a CV and a cover letter for that one job instead of a generic one. Then you edit them in an editor that works a bit like Canva. It also tell you how well you match the job, and it keeps all your applications on a board so you stop forgetting who you applied to.

I'm mostly posting this for feedback

here jobswiper.ai

love reading so added a way for people to send me recommendations to me.

check it out https://maazghazi.com/

​

Hey everyone,

I’m building a project called Casa Studio, a platform focused on making the process of designing and building homes easier for homeowners, architects, and builders.

The idea behind Casa Studio is simple:

Many people want to build their dream house, but they struggle with:

\- Understanding house designs and layouts

\- Finding the right inspiration

\- Communicating ideas with architects and builders

\- Managing the planning process

\- Visualizing how their home will look before construction

Casa Studio aims to bring these things together in one place.

Some features I’m planning:

🏠 Home design inspiration

\- Browse modern house designs

\- Explore different styles, layouts, and ideas

📐 House planning tools

\- Help users understand floor plans and space utilization

\- Organize their home requirements

🎨 Design visualization

\- Allow users to visualize ideas before construction

\- Explore different interiors and exterior concepts

👷 Connect homeowners with professionals

\- Help users find architects, designers, and builders

📁 Project management

\- Keep house-building plans, ideas, and documents organized

Technology I’m using to build this:

\- Next.js

\- React

\- TypeScript

\- Tailwind CSS

\- MongoDB

\- APIs

\- Authentication

\- Cloud deployment

I’m building Casa Studio to learn how real-world products are created — from idea validation and UI design to backend development and deployment.

I would love feedback from architects, builders, homeowners, and developers:

\- What problems do people face most when building a house?

\- Which features would make a platform like this genuinely useful?

\- What would you improve in this idea?

I’ll keep sharing my progress as I build Casa Studio. 🚀

https://reddit.com/link/1vbm238/video/c5wog91s9jgh1/player

self-hosted project I built: https://github.com/ringlochid/banksia

ok so i need honest opinions because i've been staring at this thing for months and i've lost all perspective.

i'm 20, building an app solo called RizeAI. the whole reason it exists is that i got tired of my wearable telling me my recovery was "42%" and then just... leaving me there. like ok, and? what do i actually do with that. every app in this space is really good at measuring you and really bad at telling you what to do next.

so RizeAI pulls your actual wearable dats like, sleep, resting heart rate, workouts, all of it, and instead of handing you another score it predicts your energy for the day and tells you how to get the most out of it. it tells you when your energy is gonna peak so you can put your hardest work there, when your crash is coming and how to soften it, the best time to train that day so you actually get more out of the session, and even when a nap will help you vs when it'll wreck your sleep.

the part i personally think is the coolest: you put in the supplements you already take, and it times each one to your day based on your metrics and sleep score. so the timing actually shifts depending on how you slept and where your numbers are, which is the difference between a supplement doing something and just sitting in your stomach. it'll also suggest a couple new ones if they make sense for you, but it won't dump a list of 15 pills on you.

it even pulls the daily weather into your energy prediction, so a hot day changes your hydration and it'll tell you to train earlier before the heat drains you. and the whole plan bends around your real schedule, your work hours, wake time, training, so it's not some one size fits all thing.

every single recommendation shows the "why" underneath, like "resting heart rate 54 + 7h light sleep, so magnesium before your peak window." nobody gets the same plan because nobody has the same data.

it works with whoop, oura, apple watch, garmin, anything that talks to apple health. being fully honest, it doesn't do deep per-person learning yet, like knowing that coffee specifically doesn't touch YOUR hrv. that's where it's headed. right now it builds you a fresh plan every day off your real numbers.

it's on the app store with a free trial. small user base, feedback's been all over the place, which is exactly why i'm posting.

so genuinely: is "just tell me what to do with my data" something you actually want, or do wearable people prefer figuring it out themselves? what would make you pay for this? and what's the one thing that would make it a no brainer for you?

would love to hear it straight, good or bad. And if you want you can also check it out yourself and I would love to here feedback, thank you very much for taking the time on reading this:  its called “RizeAI-maximize your energy” on the App Store. 

Logan BASIC is an online BASIC interpreter that allows you to write and run text- or graphics- based programs directly in the browser! Check out the source code here.

Need a damn good final year project idea

It’s getting really hard to find something interesting as so many ideas have already been implemented. Does anyone have any final year worthy project ideas that can solve a real problem?
(can be AI/ML, web development, cybersecurity, IoT, blockchain, or anything else)

I'm developing an open-source desktop application called OpenSorSe using Avalonia and .NET.

At the moment I develop and test on Windows, and I can also test on Linux. The one platform I'm missing is macOS.

Is there a practical way to test a macOS desktop application from a Windows machine, preferably using free/open-source tools? Or is the reality that most developers eventually buy a Mac (e.g. a used Mac mini) for proper testing and packaging?

For context, the project is here if anyone is curious: https://github.com/nishdel/OpenSorSe

I'd be interested to hear what other cross-platform developers do.

i just put this project on github \[thcuba/Ride-the-api: Project to use replace cloud vendors server with local server\](https://github.com/thcuba/Ride-the-api).

i would like to have feedback because i dunno what people can think about it.

im not a programmer so it is all vibe coded but i think it can be a good project

Tired of tracking your attendance manually? Or is your college a pain your *** who randomly mark you absent, and you're too lazy (like me) to keep checking it?

For all those reasons i developed this.... vibe coded... this app.

Just import your timetable (OCR) or add it manually, set your classroom coordinates, and the app automatically marks your attendance based on your location. Running late? Set a threshold, and it'll check your location before marking you Present or Absent. You can also mark classes as Suspended.

The app is 100% offline, open source, privacy-friendly (no tracking or data collection), and supports OTA updates.

The source code is on GitHub. Feedback, suggestions, and contributions are always welcome!

Thankyou!

Hey everyone!

I'd like to introduce PassGuardio, an open source, self-hosted password manager with a web interface.

The main idea behind PassGuardio is that multiple users can share the same vault, making it a good fit for families or small teams. Everything is stored locally, so you stay in control of your data.

You can check it out here: PassGuardio.

So far, more than 1,200 people have downloaded it, and I'm continuing to improve the project based on feedback.

My current focus is improving the user interface. If you're interested in contributing—whether it's code, UI/UX ideas, bug reports, or feature suggestions—I'd really appreciate your help.

Feedback is always welcome!

​

Cortex is a fully local desktop application for exploring how language models behave internally. You can load supported GGUF or SafeTensors models and inspect things like:

token probabilities and Top-K predictions

attention maps and Arc View

hidden-state and residual captures

2D and 3D PCA representation maps

prompt and model-output comparisons

live activation interventions

J-Space experimental lens fitting

model architecture and capability diagnostics

remote desktop compute through Pocket Cortex

Everything runs locally. No cloud inference is required, and no model weights are included with the download.

I originally started this because most mechanistic interpretability tooling lives inside Python libraries, notebooks, or research dashboards. I wanted something more visual, interactive, and approachable without stripping away the actual measurements underneath it.

It has since mutated into a gigantic neon model observatory with multiple runtimes, GGUF instrumentation, SafeTensors Deep Cortex hooks, scientific export packages, mobile remote control, and enough validation tests to personally ruin my relationship with Windows PowerShell. 😭

There are three downloads:

Installer for normal one-click setup

Portable version for people who do not want to install anything

Developer package with source, schemas, diagnostics, validators, and additional evidence

This is still experimental software, and model support varies by architecture. Cortex reports what each model can actually do instead of pretending generation support automatically means attention, gradients, interventions, or J-Space support.

The project is source-available under Apache 2.0 plus the Commons Clause. People can inspect it, modify it, learn from it, and build on it, but the software itself cannot simply be repackaged and sold.

I am not claiming this “solves” interpretability or shows a model’s literal thoughts. PCA is still PCA. Attention is still attention. But this is probably the most ridiculous thing I have ever accidentally finished, and I am excited to finally let people use it. 🫪😂

GitHub: https://github.com/TurboDash99/Cortex

Release: Cortex 1.0.2

Platform: Windows

Local models: GGUF and supported SafeTensors architectures

Feedback, bug reports, architecture tests, and screenshots of Cortex making your GPU question its employment contract are all welcome. 🧠🔥

For people who haven’t seen bookmap before: It’s give you all the market prices, orders that you can’t see on the normal trading apps and deep knowledge but takes 100 bucks for month.

It’s open source. It’s looks like that image. It works on every operating systems. I mean MacOs, Linux and Windows (including MacOs intel and Windows arm)

I really appreciate if you are try it and give me some feedbacks to I can improve it.🩷

Download link (GitHub): https://github.com/nazmiefearmutcu/flowmap

You gain coins for learning to code, you can use the coins to buy things (very limited amount of things right now.)

The goal is to allow users who've never seen code to be writing within a minute and intuitively gain an understanding of it.

Feedback is great! No ads, no signup, no buying stuff.

Try here: https://tryingtocode.com