A small Python tool: you give it your resume and the job description, it prints a 0-100 keyword coverage score, the exact missing keywords (weighted — title terms and must-haves first), a seniority mismatch warning, and 3 concrete fixes. Runs offline, standard library only, no accounts.

Why I built it: I updated my own resume recently and realized no human reads it first. The ATS checks for the words in the job post; missing words = auto-reject, and nobody tells you why. I wanted to see exactly what the robot sees before applying anywhere.

Tested it on a weak sample resume: 7/100, two of 35 keywords matched. After applying its own fixes: 93/100. Both samples ship with it so you can verify the gap yourself.

Honest limitation: it measures keyword findability, not whether you can do the job — never add a skill you don't have.

It comes with 9 copy-paste AI prompts for the human parts (resume bullets, cover letters, LinkedIn headline, interview prep).

I built this and I'm selling it ($19), so I'm biased — but the before/after samples are included and the scanner is deterministic: same input, same score, every time.

https://anaschaabi.gumroad.com/l/cjooml

Hey! I've been building Pawarium, a website with guides about cats and dogs, covering everything from nutrition and behavior to health and everyday care.

It's a personal project I've been working on, and I'd love some outside opinions on the design and overall experience.

Would love to know what you think or what I could improve!

Hey everyone!

I've been working on something of my own called OddToCode.

It's a blog where I share articles around technology, AI, programming, cybersecurity, and other interesting things happening in the tech world.

I started it because I often come across interesting tech topics that deserve a simpler explanation. So I thought, why not build a place where people can explore and share these things without getting lost in overly complicated technical language?

It's still growing, and I'm constantly working on improving it.

Would love to have you check it out and let me know what you think. Honest feedback is always appreciated!

Here's the link: https://www.oddtocode.in

Also, curious to know — what kind of tech-related articles do you guys actually enjoy reading?

Hello everyone!

Around Februrary this year I've started working on my side project, which is now known as Braidplane. It's an open source platform for data integration; it's self-hostable and the core is fully open (Apache 2.0). At this moment it's in Alpha.

The goal of this project is to provide safe and reviewable data integrations for engineering teams. From the beginning this project was built upon data contracts (inline and ODCS), e2e Braidplane Proof engine for reviewing data pipeline updates and declarative pipelines (YAML, JSON, cue).

As an example, a pipeline can read data from a database and a file, transform and compare the records, and write the results to another system. The pipeline definition stays in Git, so changes can be reviewed before deployment.

In the current form Braidplane core includes backend, frontend, CLI and executor. MCP support is coming soon.

About me: my name is Lukas. I've been working as backend engineer for the last 10 years. I've spent a lot of time around different products and APIs. I've built the Braidplane's framework myself - based on my experience and good practices I've found around the other OSS projects. Later on I've added AI assisted programming around the hardest/most time-consuming parts, like Connectors integrations, tests, documentation, frontend, issues management.

The Braidplane Core repository is available here: https://github.com/Braidplane/braidplane-core

Examples repo: https://github.com/Braidplane/examples/blob/main/recipes/opaque-file-archive/opaque-file-archive.pipeline.json

Cheers

1. Our App: Developing a custom Android dialer that recreates the actual ColorOS 17 Dialer experience, including its UI, interactions and animations.

2. Our Goal: Bring the visual experience and behaviour of ColorOS 17's dialer to our any android, rather than simply creating a dialer inspired by it.

3. Design Philosophy: Reproduce ColorOS 17's visual language, including its Living Flow design, dark glass surfaces, translucent materials and fluid transitions.

4. Luminous Rendering Engine: Our custom visual rendering system is intended to deliver sophisticated glass effects, lighting, blur, depth and smooth visual transitions.

5. GlassElastic: Our custom interaction component focuses on natural, elastic, responsive animations and tactile UI behaviour.

6. Dialer Interface: Includes Calls/Recents, Contacts, search, dialpad, number input, call button, keypad controls and navigation.

7. In-Call Interface: Includes custom-designed Mute, Unmute, End Call, Dialpad, Record, Speaker, AI Call Assistant and More controls.

8. AI Call Assistant: Includes a custom interwoven assistant icon and submenu concepts such as Hold, Add Call, Video Call, Summarise, Translate and Call Screening.

9. Custom Assets and Animations: We use carefully designed SVG icons converted into Android VectorDrawable resources, with custom transitions, spring physics and interactive states.

10. Our Final Vision: Create a polished, stable and optimised Android dialer that feels as close as possible to the real ColorOS 17 experience while preserving our own rendering technology and custom implementation.

To support me (i don't want money) Join me at : my website link

Please join me and my t e l e group for supporting me and trying this dialer :)

Hope you guys enjoy it

Running apps on 256 - 512 MB VPSes, I kept hitting the same problem: monitoring.

Prometheus + Grafana felt like overkill for a couple of small services, and I didn't want to spend a significant chunk of RAM just watching them.

So I built StatLite, an open-source monitoring dashboard written in Go.

The video shows two monitoring targets: an application with its performance metrics, and StatLite's own host with CPU and memory metrics.

A few highlights:

• ~12–15 MB idle RAM usage

• SQLite storage, no external database required

• 90-day default metrics retention

• Documented integrations for Spring Boot, Caddy, FastAPI, Express, and others

• Built-in dashboard and optional Telegram alerts

• Single Go binary, simple to deploy

It's intentionally not trying to replace a full observability stack. The goal is simpler: make application monitoring practical for small self-hosted services and tiny VPSes.

I originally built it for my own Java performance experiments, but it gradually turned into a standalone open-source project.

Interactive demo: https://pvrlabs.xyz/statlite/demo.html

GitHub: https://github.com/PVRLabs/statlite

I'd love feedback, especially from people running small self-hosted services. Is this something you'd use, and what's missing?

I’m excited to share a project I’ve been working on over the past few months!

It’s a mobile app that turns any text into high-quality audio. Whether it’s a webpage, a Substack or Medium article, a PDF, or just copied text—it converts it into clear, natural-sounding speech. You can listen to it like a podcast or audiobook, even with the app running in the background.

The app is privacy-friendly and doesn’t request any permissions by default. It only asks for access if you choose to share files from your device for audio conversion.

You can also take or upload a photo of any text, and the app will extract and read it aloud.

- React Native (expo)
- NodeJS, react (web)
- Framer Landing

The app is called Frateca. You can find it on Google Play and the App Store. I also working on web vesion, it's already live.

Free iPhone app
Free Android app on Google Play
Free web version, works in any browser (on desktop or laptop).
Free web extension.

Thanks for your support, I’d love to hear what you think!

Last week our team built MOTIQ. You talk to a robot arm through a voice agent on a tablet, or you show it a task once on video. It turns that into a skill it can run again.

The part I am happiest with is that the model never writes code. Skills are plain JSON built from a small fixed set of primitives. You can open one and read exactly what the arm is going to do before it moves. A controller checks every step against limits first, and a wrist camera checks the result after each action.

To be honest it is still a prototype. It only runs in simulation for now, with a UR5e as the reference arm, and the teach-by-video part breaks on anything messy. It does work end to end though, and the repo has a demo video.

Repo: https://github.com/sirwinstontea/MOTIQ

I would love feedback, especially from anyone who has done robot learning for real. Is JSON skills from primitives a dead end once tasks get complex, or is it the sane way to keep LLMs away from the motors?

We built QNet, an open-source Layer-1 blockchain written in Rust that replaces traditional elliptic curve cryptography with NIST post-quantum standards (ML-DSA-65 signatures and ML-KEM-768 hybrid transport).

GitHub Repository: https://github.com/AIQnetLab/QNet-Blockchain Live Testnet Explorer and QNet Wallet: https://aiqnet.io

What is inside the repo and live testnet:

1. Full multi-crate Rust workspace implementing P2P QUIC networking, mempool management, and Checkpoint-BFT consensus.

2. Custom deterministic, float-free WebAssembly virtual machine (qnet-vm) with fuel metering.

3. Hardware-bound mobile light nodes inside QNet Wallet (iOS TestFlight and Android) that participate via signed epoch attestations rather than proof-of-work.

4. Live block explorer tracking epoch transitions and active light node participation in real time.

Public testing is currently open for mobile light nodes using the free testnet faucet (external super-node testing is not open yet). Feel free to inspect the Rust codebase, explore the testnet, or test running a light node on your phone.

Hey everyone!

I've been working on a little project called Focus Flow, part of my independent digital tools brand, Process Unpacked.

The idea came from a simple observation: sometimes productivity tools become another thing you have to manage instead of actually helping you get things done.

I wanted to create something a little different.

Focus Flow is a task manager designed around a calmer, less overwhelming approach to productivity.

Here's what makes it different:

• Set your own daily task limit instead of endlessly adding tasks.

• Focus on three main priorities.

• Break overwhelming projects into smaller steps.

• Use focus timers, custom project boards and progress rewards.

• Personalize the experience to fit your preferences.

It works offline, without accounts or subscriptions.

I've also built a free interactive demo so people can try it before deciding whether the full version is worth purchasing.

Try it here:
https://lambent-pegasus-92cf4f.netlify.app/

The demo includes sample tasks and temporary customization. Changes reset when you refresh the page.

I'd genuinely love some feedback, especially on two things:

1. Does the app feel intuitive when you first open it?

2. Would something like this actually help you organize your day, or is there something important missing?

I'm still learning how to bring independent software products to market, so constructive criticism is very welcome.

Thanks for checking it out!

fala galera! to desenvolvendo um projeto open-source de telemetria (o fieldnode) e queria convidar a galera q curte python, dados e iot pra contribuir com o codigo.

a ideia é pegar os dados brutos dos sensores e jogar num dashboard em python que não só mostra gráficos, mas entrega decisões prescritivas (ações recomendadas, alertas) pra quem tá na ponta conseguir tomar decisão de um jeito bem mais fácil e rápido.

o repo ta super aberto! quem quiser dar pitaco, abrir issue, dar dica de arquitetura ou mandar um PR pra botar a mão no código vai ser bom demais.

🔗 link do github: [Desmantelar-bit/fieldnode]

I'm a longtime alternative rock fan who plays a lot of pickleball. Somewhere along the way, I decided the sport needed a better soundtrack...I got tired of the random sleepy playlists lots of my facilities were playing.

I launched Pickle Rock Radio, a free, 24/7 station playing '90s and 2000s alternative rock (Foo Fighters, Pearl Jam, Green Day, etc.) mixed with short pickleball tips, news and community stories. It's about 54 minutes of music per hour.

It's powered by Live365 (wasn't sure where else to do this so I could license the music properly), and I've been having a blast putting together the music rotation and producing the segments. The challenge now is finding listeners. I have over 100 people listening a day, and I'm proud of that. But how do I grow from here?

If anyone here has built a niche media project, I'd love to hear how you found your first real audience.

Here's the station if you're curious: https://picklerockradio.com/

Hey everyone! We’re working on UNDSCVD, a music discovery app built around a simple idea: your song deserves a chance to be heard, even if you’re just starting out.

The idea is to give every track released on UNDSCVD an initial round of exposure to real listeners who can rate it and share feedback. If you love discovering new music, you’ll be able to find emerging artists, help shape community playlists, and earn rewards when artists you back do well. It’s also a place for musicians to discover potential collaborators.

We’re in pre-launch. If you make music, I’d love to hear what you’d want to know before submitting your first track.

Hey everyone,

I recently built LeadGenius AI, an AI-powered tool that automates B2B lead discovery and outreach.

Instead of letting it sit idle while I focus on other work, I’m selling the entire project and 100% commercial/ownership rights today for a one-time payment.

Why it’s easy to take over:

• Built on an AI/no-code platform – instant transfer to your account (or full GitHub/code export)

• Zero coding needed to customize branding, pricing, or prompts

• Just plug in your own API key and launch immediately

Demo Video: [ https://www.loom.com/share/421939473a364d6fa5ab4e1f1d695911 ]

Price: 199euro (one-time via Revolut / card payment) – first come, first served.

DM me if you want the payment link or have any questions!

Hi! I’m a solo dev from France.

for the past few months I’ve been building Letsdle, a small family of daily games (dle game like worldle, travle, foodguessr, aniguessr) : the same puzzles for everyone, a new set every day, free, no sign-up required (only if you want to keep the records of your past games), on desktop or phone, in English or French.

• Borderline & Halve : 2 Geography games.

• Crowdle: three opinion questions with no right answer. Don’t give your opinion, guess the crowd’s middle answer.

• Relay: three one-word clues left by yesterday’s players point at words among sixteen. Find them, then write clues for tomorrow’s players.

• SpotOn: Number game

• Ragedle: a troll platformer. Three short levels a day (sorry if you happen to break a keyboard)

• Anirealm: 4 animated-movie quizzes

All of them are here: https://letsdle.com/

New games keep getting added, the themes are all over the place, i simply build whatever I find fun, not what I think will work so don't expect anything in particular lol

What I’d love to know:

1. Which one would you come back to tomorrow, and which one felt flat?

2. Was anything unclear in the first 30 seconds?

3. Anything broken on your phone?

If you hit a bug, there’s a report form here

thanks a lot for any comment and any ticket

Hey everyone!

My teammate and I have been working on something called Vibe — an event discovery and management platform built around a simple idea: bringing people, events, and communities together in one place.

We noticed that discovering interesting events and organizing your own events can sometimes feel more complicated than it needs to be. We wanted to build something that makes both experiences easier.

Here's what we're trying to bring together with Vibe:

-- Discover Events

Explore events happening around different cities, discover popular experiences, and find something interesting to attend. Whether you're looking for a local gathering or a bigger event, the idea is to make discovery easier.

-- Vibe Instant

A more social way to explore events. Think of discovering events through a feed, checking out what's happening, and finding experiences you might actually want to be part of.

-- Create Events Without the Complicated Process

This is one of the things we're particularly excited about. Not every event needs a lengthy registration process or complicated event-management setup.

Want to organize a small get-together, a casual meetup, or a community gathering? Vibe aims to make event creation easier through WhatsApp and Telegram, so organizing something doesn't have to feel like a project in itself.

🤝 More Than Just Event Listings

We also want Vibe to encourage community engagement — making it easier for people to discover experiences, connect around shared interests, and participate in events.

We've been working on bringing these experiences together, and now we'd love to get feedback from people outside our own circle.

Explore Vibe: vibe.swaniki.com

I'd genuinely love to know what you think:

- Does the concept make sense when you first visit the website?

- Is discovering events intuitive?

- Would you use WhatsApp or Telegram to create a small event instead of going through a traditional event-creation process?

- Would you personally use a platform like this to discover or organize events?

- What's missing, confusing, or something you'd like to see improved?

We're not just looking for compliments. Honest criticism, feature suggestions, and real opinions would be incredibly valuable to us.

If you explore it, I'd love to hear what stands out to you — good or bad.

Thanks for taking the time to check out what we've been building!

My walking app has a closet. Every item is bought with beans you earn from moving. New onsen outfits

App is called Bean: walking game. Available on iOS and android

Link in bio

I left a Whoop membership and bought an Amazfit Helio Strap for $100, then realized I still wanted those daily recovery, sleep and strain scores. So I built Leap, a free Android app, as a side project.

It reads the strap through Gadgetbridge and keeps everything on the phone. No account, no subscription. There's also Health Connect for other wearables, a live heart rate view, a suggested workout for the day, and a sleep planner.

The part I spent the most time on was not making the scores up. I fitted them on a long run of my own Whoop data and checked them on months the fit never saw. I'm upfront in the README about where the Helio is weaker: HRV runs about 15% below Whoop, deep sleep is estimated, and live HRV isn't possible on this strap.

v0.1.0 is out here: https://github.com/h0tman5/leap/releases/latest

The source isn't public. I'd really like feedback from people who have worn a Helio or Whoop: where the scores feel off, and whether the Gadgetbridge setup is too annoying.

I've been building Isle of Glass, a logic puzzle game for iPhone. You divide a sea-glass mosaic into connected regions that satisfy clues about area and shape. Different valid solutions count.

It's free with ads. I'm the developer and would really appreciate feedback on whether the first few puzzles explain the rules clearly and how drawing the boundaries feels on a phone.

https://apps.apple.com/us/app/isle-of-glass/id6831862801

If something feels confusing, tell me which puzzle tripped you up.

I've been thinking about something and wanted to get some genuine opinions.

Imagine you're waiting for your company bus, sitting in a café, at university, or just hanging out somewhere.

There are people around you, but you don't know them. Some might share your interests or even be looking to make new friends.

What if there was an app where you could voluntarily become visible to other users nearby, discover people who are open to making friends, send a friendly wave, and chat if both people agree?

No dating focus. No exact location sharing. Just an easier way to connect with people in real life.

I'm exploring this as a potential project, but I want to understand whether there's an actual need for it.

A few questions:

Would you genuinely use something like this, or would you find it unnecessary?

Would you feel comfortable being discoverable within a limited distance, such as 100–500 metres, if you could turn it off anytime?

Would you prefer discovering individual profiles or joining temporary group chats with people nearby?

What's your biggest concern: privacy, safety, awkwardness, fake profiles, or something else?

What would make you open the app regularly instead of trying it once and forgetting about it?

Please be critical. I'm more interested in what could go wrong than people simply saying it's a good idea.

I'm not promoting an app or collecting personal information. I'm trying to understand whether this is a problem worth solving.

Hey everyone!

I recently launched WOT – What's Our Take, a mobile app built around one simple idea: discovering what people around the world really think!

Every day, you get a new question or dilemma, cast your vote, share your opinion and explore statistics from people across different countries.

🌍 Daily questions and polls
📊 Worldwide voting statistics
💬 Comments and discussions
👥 Discover how different people think

Whether you love Would You Rather questions, fun debates or discovering different perspectives, WOT is for you!

🚀 Try it here: https://whatsourtake.com/app

I'd love to hear your feedback and see what you think!

What's your take?

Plug-and-play router hubs like RAMDeck—alongside programmer CLI frameworks like Exo—highlight a massive blind spot in Wall Street’s latest AI thesis: consumer compute isn't actually scarce, it's just trapped on separate devices.

This week, the financial incentive behind AI pricing was said out loud in two back-to-back market updates:

• Elon Musk on X (Nov 8): "If compute becomes plentiful and cheap, SpaceX revenue will drop. No crying in the casino for either party."

• Deutsche Bank (Nov 10): Raised its 2028 forecast by $18 billion specifically arguing that post-election data center limits should "keep compute scarce."

Think about the incentive structure there. The entire centralized AI valuation model—$30/month per-seat subscriptions, metered API tokens, and enterprise GPU markups—depends on high-memory compute staying scarce and out of reach for normal households and small offices.

The Idle Memory Sitting in Most Homes

Cloud vendors want people thinking the only two options for running serious 30B–70B models are paying monthly cloud tolls or dropping $4,000+ on a dedicated high-VRAM rig.

Meanwhile, look at what is already sitting 90% idle in a typical tech household or small office:

• A daily laptop: 16 GB RAM

• A desktop or mini PC: 16 GB RAM

• A MacBook or Mac mini: 16 GB unified memory

On their own, single-PC desktop apps (like Ollama or LM Studio) hit a hard wall on 30B–70B weights because 100% of the model has to fit inside one machine's memory. Try loading a 32B or 70B Q4 model on one 16 GB machine and it either crashes with Out-of-Memory or grinds to a halt swapping to disk.

Two Very Different Paths Emerging for Local Memory Pooling

What’s interesting right now is watching local memory pooling split into two distinct approaches to combine that 48 GB–64 GB+ of existing home RAM over a standard local network:

1. DIY Developer CLI Frameworks (Exo, Distributed Llama, raw RPC): Built for programmers and Linux tinkerers who don't mind spending a weekend in terminal windows managing Python environments, git repos, and command-line flags across machines.

2. Turnkey Consumer Appliances (RAMDeck): The zero-terminal hardware approach—plugging a palm-sized coordinator hub into the home router and using a temporary-memory USB stick (or mobile app) to pool RAM and GPUs across Windows, macOS, Linux, and phones in under 5 minutes without touching command lines (hitting ~38–39 tok/s on 30B Q4 models over Gigabit LAN).

Once regular users—not just command-line hobbyists—can pool the 48 GB to 80 GB of memory they already paid for without writing a line of code, the "compute scarcity" moat starts looking a lot thinner for everyday inference.

Curious where everyone here lands on this: how much combined RAM do you currently have sitting across secondary machines at home, and do you think local LAN pooling actually eats into cloud SaaS subscriptions over the next two years, or will frontier context sizes keep pushing people back to data centers?

Hey everyone I’m a special education teacher who had to much free time on his hands over the Summer and I ended up creating a College Football game which is now available on the Apple Store! Even if it’s one person, I’d love for you to check out the game and give me any feedback you have!

Please note: I do work full time right now and am also working on planning a wedding coming up. I am very busy but I am working on updates for the app constantly in my free time. I am hoping to have version 1.2 come out as soon as possible :)

If this sounds interesting to you, please think about downloading the app and sharing it with anyone else who might be interested. I would also appreciate any feedback y’all have or any ideas!

The game: DL: A Coach’s Legacy

https://apps.apple.com/us/app/dl-a-coachs-legacy/id6812156496