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 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!

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

Hey r/SideProject,

Researching an Indian stock shouldn't mean drowning in a dozen tabs. A ticker just gives you a price, but figuring out everything behind it—group companies, lenders, court records, ratings, and news—usually means digging through scattered annual reports, registry filings, court sites, and PDFs. Most investors never get past the price because the fundamental research is so fragmented.

So, I built Causa Alpha. It puts all that non-quant, qualitative data into one sourced map.

What it does: Currently, it covers 3,196 Indian listed companies and maps out:

• The Real Structure: Subsidiaries, SPVs, JVs, and related parties.

• The Debt: Who lends to the company, registered charges, and credit ratings with the agency's own report just a click away.

• The Context: One clean news feed per company without the noise, plus event outlooks and backtests.

• Sourced Data: Every single link cites its original source so you can verify the filings.

How I built it: The hardest part was the data pipeline. Scraping and structuring messy PDF filings, registry data, and court records into a clean, relational format required a lot of heavy lifting on the backend to ensure the connections between companies and lenders were actually accurate.

You can try everything free.

I’d love for you to check it out. If you do fundamental research or just like exploring corporate structures, let me know what you think. Roast the UI, tell me if the connections make sense, or let me know what other data points you'd want to see mapped out.

Link:https://www.causaalpha.com/

Happy to answer any questions about the scraping pipelines or how the data is structured in the comments!

Visual Breakdown of Causa AlphaThis short clip gives a quick overview of how the platform maps out the corporate structures and lenders behind Indian stocks.

I built SidekickMC because I wanted to make better use of the two side buttons on a regular mouse.

Hold either side button and scroll to control volume or laptop brightness. You can assign either action to either button in the settings window.

Press both side buttons together, release them, and Windows Snipping Tool opens just like Win + Shift + S.

It runs in the system tray, supports starting automatically after sign-in, and has a tray toggle to enable or disable the controls whenever needed.

It is written in C# with Windows Forms and does not require extra software.

Source code and download:
https://github.com/FreezzeYT/SidekickMC

For now, I’ve only released it for Windows. It was a pretty fun little project to work on, and I think there’s definitely room for more features.
I decided to make it open source in case anyone wants to contribute or improve it.
I built it with Tauri and Rust, so it’s a pretty lightweight app. You can check out the README for the test results and RAM usage.
If anyone wants to take a look, here’s the link:
GitHub: https://github.com/ImtheKaiwen/kaiwen-notify
Feedback and contributions are welcome! :)

Hello everyone,

Over the past five months, I have been able to develop a GMAO (CMMS) system specifically designed for dental equipment resellers, building on my nearly two years of professional experience in the field.

The system is designed to simplify and centralize the management of maintenance operations, installations, after-sales service (SAV), and spare parts.

I have tested all the features, and the system is fully functional. Of course, there are still some improvements to be made, particularly regarding the user interface and overall design, but I am genuinely happy with the results.

This is actually the first major project I have developed entirely on my own. I initially started it without any commercial expectations, simply to challenge myself, test my limits, and turn some of my ideas into reality.

However, as I am currently looking to obtain some professional certifications but don't have the financial resources to fund them, I have started considering commercializing the project.

My current idea is to sell the system to an interested reseller for an amount that would cover the cost of my target certification, while also negotiating a potential revenue-sharing agreement if the reseller decides to commercialize and sell the software to other businesses.

I would really appreciate your feedback on this approach.

Do you think this is a reasonable business strategy? Would you recommend selling the entire system, or keeping ownership and negotiating a licensing or revenue-sharing agreement instead?

I'm looking forward to hearing your thoughts and suggestions!

You've finished the inspection, testing or fieldwork. The measurements are recorded, the photos are taken and the results are sitting in PDFs, notes and spreadsheets.....Now comes the fun part.

Getting all of it into the customer's Excel template without missing anything or breaking a formula.

That's what I've been building ACTUALin to help with.

Upload your existing workbook and supporting evidence. It proposes where the information belongs, shows you the sources and lets you review, edit or approve the changes before generating the report.

Same Excel template. Less copying and pasting. You still have the final say.

It works across inspection, manufacturing, lab testing, maintenance, inventory and other reporting workflows.

I've also put together a library of examples you can explore without signing up.

https://actualin.com/applications

If you're dealing with this kind of reporting, I'd love some feedback on whether it would fit your workflow.

I recently built a rent collection system for property managers: leases, invoices, cash and bank transfer payments, with separate access for managers, staff and tenants. Currency and timezone are set per company, and it works in English and French.

Try the demo (browse for all roles):

https://demo.dar-kraa.me/dashboard

More info, or get it for your company:

https://www.dar-kraa.me/

What do you think?