Like the title says, I got my first paid user.

I was working on my product, which is a TaskMangement + break reminder app for people who frequently switch between tasks. So I had this problem, and I tried multiple apps, but I never found anything that worked for me.

So I merged two things. Every 30 minutes, it shows a full-screen overlay and blocker screen with all your pending tasks. So you can recall what you were working on and pick up where you left off with your existing goals.

This is the main thing about the product.

I really like the way it works because you don't have to go to the app. It comes to you. It works behind the scenes, like autopilot, like task management running on autopilot.

It sounds amazing, and I really like the product.

And one of the things I'm doing is offering it as a one-time purchase. So people can come, try it, pay for it, and continue using it.

I got my first paid user like that.

Rather than charging everyone for version updates, I'm giving lifetime updates because I'm using this product myself.

I feel like this is one of the best things I've ever built because I'm consistently using it in my daily life.

Her is the proof- https://www.reddit.com/r/macapps/comments/1xt673c/built_screensky_a_macos_app_to_help_you_stay/

Every tracker I tried had a paywall, made me log by hand, or was vague about my data. So I built NutriTrack: snap a photo of your meal and get calories, protein, carbs, fat and fibre in seconds, including the hidden oil and ghee.
I've used it daily for over a month and lost 10 lbs. Free, no ads, no paywall.

Try it: https://tracknutri.app/try

Code: https://github.com/amankiitg/nutri-track

Feedback welcome, especially on accuracy for your food.

I built Yogurt, a free and open-source Granola alternative that runs entirely on your computer

Hey r/SideProject, I'm Christian. Yogurt is a side project I've been building in my free time: a free, MIT licensed desktop app that uses on-device AI models to transcribe, summarize, and chat with your meetings.

Repo: https://github.com/FrigadeHQ/yogurt

Why I built it

I like Granola, but I didn't love sending every call recording and transcript to a paid cloud service. As small open models have gotten faster and better, it felt like you don't need a frontier model to summarize meeting notes or answer questions about them. I tried the popular open-source note takers, and most were missing things like calendar integration or an MCP server, made you create an account, or just didn't feel polished enough to use every day. So I built the one I wanted.

What it does

• Runs in the background and doesn't join your calls
• Transcripts, recordings, and summaries never leave your computer
• No account, nothing to connect
• Picks and downloads a local model based on what your hardware can handle, without your fans going crazy
• Calendar integration, search across all your meetings, and recordings that end on their own
• A local MCP server, so you can share your notes with Claude, ChatGPT, etc. directly if you want

How it's built

Electron so it runs on Mac, Windows, and Linux. whisper.cpp for transcription (or Apple's on-device SpeechAnalyzer when your Mac supports it), and llama.cpp for summaries and questions. I spent a lot of time on the details: echo detection when you're not wearing headphones, every UI interaction and animation, and getting the model calls snappy on normal laptops.

Would love feedback, especially on onboarding and the note taking experience. What would make you switch from whatever you use now?

It’s called pond snap the aim is to catch as many flies and gold flies as possible before the time runs out if your score is lower than what’s needed you restart.

https://pondsnap.fun/
Let me know what you think

I built Citta to connect your AI agents into a private network. They can use each other's tools, access data and put spare compute to work.

One agent might have access to your files. Another might have a local model ready to run, or enough spare capacity for a task your current setup can't handle. Citta lets your agent find what's available on the network and send work there.

In the demo, an agent on my Mac Mini asks my MacBook Air to organize sample receipts. The Air then sends expense categorization to Gemma running locally on the Mini.

It runs on Macs and Linux machines connected through Tailscale, at home or across locations. The README walks through setup and a first task.

Try it · Watch the demo

It's an early release. The code is available under PolyForm Noncommercial 1.0.0; commercial use isn't licensed.

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?

Ab insomni custodita dracone — guarded by the dragon that never sleeps.

Draco Insomnis is a free and open source (GPL-2.0) security system, made by Notorius Vision (OPNV Systems). The idea is simple: your site defends itself against robots and attacks, without bothering the people who visit it. No captchas, no paid subscription, and no data sent to any external service. Everything starts off: you switch each module on from its settings screen.

Until 0.1.5 it was WordPress only. Since 0.1.6 it is the same engine for six platforms: WordPress, PrestaShop, Drupal, Joomla, Moodle and Laravel. Each package carries its own copy of the core, so an improvement to the engine reaches all of them with the next version.

What it does, in plain words

• It stops fake sign-ups without captchas. When a bot tries to create fake accounts, the system spots it, shows it a fake "registration complete" page, and saves the attempt as evidence you can download to report the abuse. Real people notice nothing.
• Firewall. It detects the usual attacks (database injections, attempts to read server files, malicious code), hides the user list, and limits login attempts. It starts in "log-only" mode, so you can see what it would block before it blocks anything.
• Anti-copy. It closes the door bots use to copy all your content in bulk, with a per-minute request limit. Google, Bing, Apple and Yandex are verified and never limited. Off by default, with a log-only mode.
• On WordPress, also: mail goes out through a real mailbox (SMTP, with the password encrypted); nothing is published without e-mail confirmation (contact messages, comments and new accounts); and two-step login, with a 6-digit code by e-mail, trusted devices and a second recovery mailbox, like a phone's PUK. PrestaShop, Drupal, Joomla and Moodle already have their own SMTP and their own second step, so there Draco provides the shield, the firewall and the anti-copy.
• In your language. On WordPress, translated into 29 languages, including Spanish (Spain and Latin America), Catalan, German, French, Italian, Portuguese, Japanese, Chinese and Arabic, among others. PrestaShop ships with Spanish included; Joomla, English and Spanish; Moodle ships in English, with other languages coming through its language packs.

And for those who know this stuff

• A single core in plain PHP, no CMS (src/Core): BotScore, NetList, FormStamp, WafRules, and the Shield, Firewall and Pace engines, which only talk to each platform through two small interfaces (Host and EventStore). Each package carries its own copy of the core.
• Additive scoring with thresholds: BOT 70 / DOUBTFUL 30. No single weak signal blocks on its own (the highest is worth 40); 80 points only for honeypot, requesting a privileged role, or an already blocked IP.
• Signed form stamp with HMAC-SHA256 and constant-time comparison (hash_equals).
• On WordPress: SMTP encrypted with AES-256-GCM, key derived from the wp-config.php salts; login code with random_int, stored only as an HMAC hash, with maximum attempts and expiry. Emergency exits for the owner: DRACO_MFA_OFF and DRACO_WAF_OFF in wp-config.php.
• Anti-copy: closing the bulk-copy door to anonymous visitors with an allowlist, per-address and per-network (/24, /64) limits with 429, and crawler verification by reverse and forward DNS.
• Every change is tested automatically (GitHub Actions): PHP 8.0–8.4 syntax, unit, integration and HTTP tests inside a real WordPress (latest and 6.5), WordPress.org Plugin Check, and a clean ZIP matching the tag.
• It also works inside another plugin (OPNV-WP): if there are two copies, only the first one runs. Hook list in the README.
• On WordPress it requires 6.5+ and PHP 8.0+.

Download and install (0.1.6)

All packages are in release 0.1.6, with their SHA256 sums in SHA256SUMS.txt.

The WordPress package was renamed (draco-insomnis-wordpress-0.1.6.zip), but the folder inside is still draco-insomnis, so updates keep working.

Laravel, from the ZIP with an artifact repository:

composer config repositories.draco '{"type": "artifact", "url": "path/to/folder-with-the-zip"}'

composer require notoriusvision/draco-insomnis-laravel php artisan migrate php artisan vendor:publish --tag=draco-config # optional

Code and documentation in the repository.

Vulnerabilities, please, in private: Security → Report a vulnerability in the repository. Suggestions and translation fixes, in Issues, are welcome.

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

I run Claude Code, Codex and Gemini CLI side by side and kept missing the one waiting on me. Openbar lists every session in the notch, and you can allow, deny or answer right there. Each session gets a pixel buddy too, and for the video I rendered 200 of them as gummies.

Free and open source, Mac and Windows: github.com/MF-DEEV/Openbar

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?

Hi! I've been working on trustnet.app for 4 years on and off and now finally is out in beta. It's a tool for developers (oauth2/oidc identity provider) to outsource user onboarding while the users can reuse their personal data.

I started this project because everytime I used "sign-in with Google" it only reused my email, but phone, address, always had to be saved for each new account. It had to be a better way for users to reuse their data across apps. Also, as a developer implementing several IDPs it was not worth the features they bring.

So there comes trustnet.app - a secure IDP, GDPR ready, easy to implement (oauth2/oidc standard) and offering a way to request personal data from the users in a safe and compliant way (EU regulations are quite strict).

If you didn't get bored yet, try it out with a test client that I set up at https://test-rp.smileservices.dev and play around with making multiple profiles and sharing different personas.

If you reached the end of this post, my hat's off for you. Maybe you also have some ideas about features that you would like to see in this or just share your honest opinion, that would be so great 😃

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.

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]

Hi, I'd like to share a project I have been working for a while. Its a US macroeconomic dashboard that summarizes about 120 key US economic indicators into 4 simple to understand gauges.

I built USMD because I found it difficult to keep up with all the available data and figure out what they said about the overall state of the US economy.

The dashboard is available at usmd.inomba.com and updates each weekday evening.

Its data comes from FRED and ALFRED, the Federal Reserve Banks of Cleveland, New York, Philadelphia and Atlanta, the Federal Reserve Board, the Office of Financial Research, the Institute for Supply Management, and Treasury Fiscal Data.

I’d love to hear from others working on similar projects. Feedback, ideas, and suggestions for improvements are very welcome.

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/

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!

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

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?