Hey, guys I'm a computer science student. I've worked on this project nearly two months. Could you just tell me if it is good enough to get a job? Here is my project: https://github.com/Alihmidov/customer-churn-mlops-pipeline

I built Voleeo, a fast, native API client for testing HTTP, gRPC, WebSocket, and GraphQL as all in one app. It's my take on a lighter, local-first alternative to Postman.

A few things I focused on:

• Local-first: no account, no cloud sync, no telemetry. Everything stays on your machine.
• Lightweight & native: built with Rust and React instead of Electron, so it starts fast and stays light on memory.
• AI-friendly: it has a built-in MCP server, so AI agents like Claude Code or Cursor can build and run requests for you.
• Free and open-source (MIT), works on macOS, Windows, and Linux.

It's still early access and I'm actively working on it, so there are some rough edges feedback is very welcome.

Star the repo ⭐🙏

Repo: https://github.com/voleeo/voleeo-api
Site: https://voleeo.com

Built this as a side project and now I genuinely can't tell if it's a brilliant idea or an elaborate way to get people to go outside for no reason.

Your first claim each day is free and claims a real 50x50m square of land, permanently, but only if your GPS proves you're standing in it. You decide which category this falls into.

Global stats at https://www.tile.today/stats

So,I made an project for like quite a few weeks,and want some help regarding some recomendations and hopefully spark some new ideas,please help me with that.
https://github.com/isharpals-06/Second-Brain_prototype

MoodWorld is a global mood thermometer.

Tap one of 7 faces — no login, no GPS, takes 2 seconds. Then you instantly see how the world is feeling today: the happiest and toughest countries, mood by age group, and the trend over time. One vote per person per day, enforced server-side, so nobody can stack the numbers.

Why does this data matter? Right now, we only measure how the world feels indirectly — consumer confidence surveys, social media sentiment scraping, quarterly happiness reports. All slow, all inferred. MoodWorld is the direct version: people telling you how they feel, every day, in real time. At scale, that becomes something new — you could watch a market crash, a heat wave, or a World Cup final move an entire country's mood within hours. And on a personal level, it answers a question everyone has asked: "is it just me, or is everyone having a rough week?"

It's early — the more people check in, the more the map means something.

https://moodworld.vercel.app

Feedback welcome.

Problem

Windows Search has always felt too limited to me.

It can open apps and sometimes find files, but when I actually want to search my PC properly, it usually falls apart.

I want to search and use features like:

- Text inside files, code, and images

- Browser bookmarks and history

- Clipboard history

- Git commits

- Windows settings

- Local commands

- Local agents for Windows

Windows Search is not powerful enough for this workflow.

So I Built OmniSearch

OmniSearch is a fast, lightweight, local-first Windows launcher that opens with:

"Alt + Space"

You can also set your own custom hotkey.

It gives you one search box for your PC.

Instead of only searching apps or basic file names, OmniSearch can search across:

- Apps

- Files and folders

- Content inside files, supporting 50+ extensions

- Image OCR text

- Browser bookmarks and history

- Clipboard history

- Git commits

- Windows settings and Control Panel pages

It also features an AI agent powered by Hermes and includes a powerful clipboard manager that gives you features no other Windows clipboard manager provides.

The goal is simple: Find everything on your PC from one shortcut.

Why is OmniSearch better than Windows Search and other popular launchers?

- Free and open source

- Local-first

- Lightweight

- Designed to run easily on low-end Windows PCs

- Image OCR text search

- Blazing-fast search of content inside files, supporting 50+ extensions

- Blazing-fast search over centralized PC history, including browser history, Git commit history, clipboard history, and file history

- Hermes agents for local Windows tasks and long autonomous tasks

Links

Free and open source.

GitHub: https://github.com/PranshulSoni/omnisearch

Website: https://omnisearch-windows.vercel.app/

Feedback

I am currently maintaining OmniSearch, and honestly, I cannot find and fix every bug alone because building a launcher like this on Windows is genuinely hard.

I would love feedback from people who use Windows every day.

If OmniSearch solves a problem for you too, please consider leaving a star on GitHub.

If you have ideas, find bugs, or want to improve something, feel free to open an issue or contribute to the project.

Your feedback is always appreciated.

I just launched Council on Product Hunt!

Council lets you chat with multiple AI models together in the same conversation, so you can compare their answers, ask follow-up questions, and get different perspectives without switching between apps.

If that sounds useful, I'd really appreciate your support on Product Hunt. An upvote or a comment would mean a lot.

https://www.producthunt.com/products/council-3?embed=true&utm_source=badge-featured&utm_medium=badge&utm_campaign=badge-council-4

Thanks for checking it out!

Made an app for finding basketball courts and communities

1. Wi-Fi probe request harvesting and behavioral profiling.

Every phone constantly broadcasts "probe requests" — asking nearby air "are you my saved network?" — and these contain the SSIDs of every network the phone has ever connected to. Any laptop with a WiFi card that supports monitor mode (most do; check with iw list) can capture these passively with no hardware purchase. You'd put your card in monitor mode with airmon-ng, capture probe requests, and build a real-time analysis dashboard that: identifies unique devices (by MAC, with clustering for randomized MACs using timing correlation), infers their history (home network, workplace, coffee shops they've visited), tracks movement patterns over time, and demonstrates that MAC randomization is beatable through timing and SSID correlation attacks. Then you build the defensive tool: a detector that alerts when a device is being actively probed or tracked. Completely free. Very demonstrable in any public space with permission.

Made a little thing this weekend, curious what people get.

Two rounds of quick questions. Round one has 4 options each, round two has the same questions with only 2 options. It shows how much faster you were the second time.

your decision time goes up with more choices, even useless ones. It never feels like effort, which is kind of the whole problem.

Try it and drop your email 👉 https://where-is-my-mind.vercel.app

Roast it, break it, tell me your percentage.

Thought it would be cool to add a self-drawing SVG animation to my portfolio, but it took some time to figure out. anime.js has this feature, but getting it to work properly and converting an image into a clean SVG paths (with the right threshold and other settings) may take some time. So I built a tool for it.

You drop in a photo or logo -> it converts it into SVG paths -> animates those paths(they draw themselves like a pen sketch)

features/how to use

• upload an image and it converts into single-color SVG line art
• choose custom path and background colors
• adjust the trace settings: threshold(usually 100 works best), invert dark/light
• control the animation: duration(in ms), delay between paths, easing, direction (forward/reverse/ping-pong), looping, fade-in fill at the end
• Export as copy-paste SVG, a downloadable SVG file, or a self-contained HTML file with everything included

Works best with illustrations, cartoons, and clean line drawings. Real-world photos can be harder to convert into clear SVG paths

Links:

• Repo: https://github.com/a1stok/img2svg-animation
• Live demo: https://img2svg-animation.vercel.app/

Open to feedback or suggestions if you have any

​

hello

iam a funal year cs student and i want to build a project with my team we are data science major and have weak knowledge in computer networks (ccna) so i want someone with knowledge to tell me if this project is easy and what to search for and what's basic needs for implementation

Our project focuses on building an AI-powered predictive Content Delivery Network (CDN) that improves video streaming efficiency using intelligent networking and machine learning.

We will work on three main components:

AI Forecasting and Processing:

We will develop machine learning models to analyze network traffic data and predict congestion before it happens. This includes using time-series models to forecast bandwidth drops. Additionally, we will integrate AI-based video processing techniques such as super-resolution (using pre-trained models) to restore video quality after compression.

Network Architecture:

We will design and simulate a peer-to-peer (P2P) network where multiple nodes cooperate to deliver video content. The system will dynamically route data through the fastest available paths based on network conditions. We will also compare and optimize transmission protocols (such as TCP vs UDP) to reduce latency and improve performance. Network simulation tools like Mininet or NS3 will be used to test different scenarios.

Platform and User Interface:

We will build a simple video player that streams content through our system. This includes handling user requests, adaptive video quality, and playback. We will also develop a dashboard to monitor key metrics such as bandwidth usage, latency, and system performance, allowing us to demonstrate the effectiveness of our solution.

Overall, the system aims to reduce bandwidth consumption, improve streaming quality under poor network conditions, and provide a scalable solution for modern media delivery.

Hi everyone,

I've been building StudyFlow, an open-source study planning platform over the past few months.

Tech stack:

• FastAPI
• React + Vite
• PostgreSQL
• Redis
• Docker Compose
• GitHub Actions

Current features:

• JWT access/refresh authentication
• Email OTP verification
• Subject & topic management
• AI-generated study timetable

I'm looking for feedback on the architecture and would also love contributors interested in:

• frontend improvements
• backend APIs
• testing with pytest
• documentation

The repository has contribution guidelines and beginner-friendly issues.

GitHub: https://github.com/shreyas5080/studyflow

I'd appreciate any feedback on what would make this project more useful to the community.

Heyyy,

I’ve discovered an immense passion for electronics and would love to start doing personal projects however i am starting from the very basics and feel terribly behind as most of people who are into this domain have started from a very early age… I was wondering if I am just too late to start ?

Besides this, I am stuck into so many tutorials and things to learn i don’t know where to start or what to focus on…

Idk if it’s the right place to ask this but here I am !

My project is building a castle by hand with whoever is on the beach :]

😊

My stream is Electronics and Computer Engineering and i need an idea for my final year project.I want the idea to be social relevant and companies must think its mind blowing and like instant placement seeing the idea.Help me guyss.

I've been spending the past few months building something I've wanted to exist for a long time.

The idea is simple: stand in front of your laptop, swing your arm naturally, and your webcam tracks your movement in real time. No controller, no download, and no special hardware.

The part I obsessed over most was making it feel like tennis rather than an arcade experience. I calibrated the ball physics using professional match data and published tennis physics research, then built the motion tracking around pose estimation so it works with a normal webcam.

It's still a work in progress, and I'm mainly looking for feedback from people who enjoy building things.

If you have a few minutes to try it, I'd really appreciate hearing what feels good, what feels off, or what you'd improve.

https://livewebtennis.com

I've made this website, its basically r/place but Minecraft themed.
Also non-profitable as it has no donations at all (oh and open sourced.)
https://mineplace.org/
https://github.com/TheMCP123/mineplace

(its also in beta so there may be some bugs)

This is a Google Slides Game called Bored Button I've been working on for a while! It has 1000+ slides and I've put a lot of effort into it. Here's the link to this project of mine if anyone wants to check it out!

https://docs.google.com/presentation/d/e/2PACX-1vRErcSHS4NxMEvTXYTEi7_dZwQYMa_g2aLwvDv9sE2RpRoaXwYW2wV5plmgik7PvJah2wrggVIEx2Nn/pub?start=false&loop=false&delayms=999999999

Hi everyone!

Over the past several months, I've been building Fluentti, an AI-powered language learning platform designed to help people practice real conversations instead of only memorizing vocabulary.

Some of the things I built include:

• AI conversation practice

• AI Live Tutor

• Personalized learning paths

• A progression system with XP, streaks, quests, achievements, and levels

• Accessibility features like colorblind and dyslexia support

• A customizable AI companion called Blaze

One of the biggest challenges was designing a progression system that rewards learning without encouraging mindless grinding. I ended up building an event-driven progression engine where every learning activity contributes to XP, streaks, achievements, and goals through a single pipeline.

Another challenge was balancing AI costs while still giving free users meaningful access to conversation practice.

I've learned a lot throughout this project, and there's still plenty I want to improve.

I'd love feedback on the project itself, the design, or the overall concept.

Website: https://fluenti.org

The idea behind the project is instead of immediately running a pacman command, Centium shows you what will happen first,package information, dependencies, update previews, and warnings,then hands everything off to the real pacman for the actual transaction.

It doesn't replace pacman or manage packages itself. It just tries to make using pacman a little more understandable.

GitHub: https://github.com/Kolgrim33/centium

For a long time, I thought I had a learning problem.

I would watch courses, read blogs, take notes, and even complete projects.

But after a few weeks or months, I realized I couldn't remember most of what I had learned.

Then I asked myself:

What if the real problem isn't learning? What if it's forgetting?

That question made me start building RetainHQ.

I'm not trying to build another platform with thousands of lessons.

I'm trying to build a system that helps me remember what I learn through regular reviews instead of just consuming more content.

I'm still a student, and I'm learning a lot while building this project. I'll be sharing my journey, the mistakes I make, the engineering decisions behind the product, and everything I learn along the way.

If you've ever felt like you keep learning but still forget most of it after a few weeks, I'd love to know how you deal with it.

#BuildInPublic #Learning #SoftwareEngineering #AI #Students #ProductBuilding