Introducing StreamOrganizer: The Ultimate Management Console for Stremio Addons
Important Note:
I’m not a professional developer. Without the help of AI, I would never have been able to bring my ideas to life. Coding is a passion of mine, and this project is the result of learning, experimenting, and improving along the way. The mobile experience has now been fully optimized: StreamOrganizer works smoothly on both desktop and mobile devices.
---
Hi everyone,
I’m excited to share a project I’ve been working on: StreamOrganizer, a web app designed to make managing Stremio addons easier, faster, and more intuitive.
The app was created to solve a common problem: Stremio’s addon management system is limited and not very practical.
Web App: https://luca12234345-stremorganizer.hf.space
GitHub: https://github.com/LUC4N3X/StreamOrganizer
---
Key Features of StreamOrganizer
Drag & Drop Management
Rearrange your addons instantly by dragging and dropping, no need to reinstall them.
Rename Addons
Customize addon names for easier recognition.
Backup & Restore
Export your entire configuration (order, custom names, enabled/disabled states) to a .json file and restore it in seconds.
Share Configurations via URL
Generate a link containing all your addons — anyone with the link can load your exact setup with a single click.
Quick Add via URL
Paste a manifest.json link to instantly add a new addon.
Bulk Actions
Select multiple addons to enable, disable, or remove them all at once.
Automatic Updates
The app checks for new addon versions every night at 3:00 AM and updates them automatically.
Light/Dark Theme
Switch between light and dark modes according to your preference.
Multi-language Support
The interface is available in multiple languages for a smooth global experience.
Modern Cyberpunk UI
Sleek, immersive, and responsive design, made to be both functional and stylish.
---
Tech Stack
Frontend: Vue.js 3 (Composition API) + vuedraggable
Backend: Node.js with Express (handles Stremio API requests)
Deployment: Fully containerized with Docker, hosted on Hugging Face Spaces
---
Why I Built It
Like many users, I was tired of reinstalling addons just to change their order or manage duplicates.
StreamOrganizer started as a personal project: a faster, cleaner, and more intuitive way to manage Stremio addons. Now I’m sharing it so the whole community can benefit.
---
Disclaimer
StreamOrganizer is an independent, unofficial project — it is not affiliated with or endorsed by Stremio.
Use it at your own risk. The developer is not responsible for any issues or damages to your account or configuration.
Before reorganizing or modifying your addons, always create a backup using the built-in export feature.
---
Feedback
If you try the app, I’d love to hear your thoughts. Bug reports, feature suggestions, and improvement ideas are all welcome.
Thank you for reading, and enjoy managing your addons!
https://redd.it/1osvzd0
@r_opensource
Important Note:
I’m not a professional developer. Without the help of AI, I would never have been able to bring my ideas to life. Coding is a passion of mine, and this project is the result of learning, experimenting, and improving along the way. The mobile experience has now been fully optimized: StreamOrganizer works smoothly on both desktop and mobile devices.
---
Hi everyone,
I’m excited to share a project I’ve been working on: StreamOrganizer, a web app designed to make managing Stremio addons easier, faster, and more intuitive.
The app was created to solve a common problem: Stremio’s addon management system is limited and not very practical.
Web App: https://luca12234345-stremorganizer.hf.space
GitHub: https://github.com/LUC4N3X/StreamOrganizer
---
Key Features of StreamOrganizer
Drag & Drop Management
Rearrange your addons instantly by dragging and dropping, no need to reinstall them.
Rename Addons
Customize addon names for easier recognition.
Backup & Restore
Export your entire configuration (order, custom names, enabled/disabled states) to a .json file and restore it in seconds.
Share Configurations via URL
Generate a link containing all your addons — anyone with the link can load your exact setup with a single click.
Quick Add via URL
Paste a manifest.json link to instantly add a new addon.
Bulk Actions
Select multiple addons to enable, disable, or remove them all at once.
Automatic Updates
The app checks for new addon versions every night at 3:00 AM and updates them automatically.
Light/Dark Theme
Switch between light and dark modes according to your preference.
Multi-language Support
The interface is available in multiple languages for a smooth global experience.
Modern Cyberpunk UI
Sleek, immersive, and responsive design, made to be both functional and stylish.
---
Tech Stack
Frontend: Vue.js 3 (Composition API) + vuedraggable
Backend: Node.js with Express (handles Stremio API requests)
Deployment: Fully containerized with Docker, hosted on Hugging Face Spaces
---
Why I Built It
Like many users, I was tired of reinstalling addons just to change their order or manage duplicates.
StreamOrganizer started as a personal project: a faster, cleaner, and more intuitive way to manage Stremio addons. Now I’m sharing it so the whole community can benefit.
---
Disclaimer
StreamOrganizer is an independent, unofficial project — it is not affiliated with or endorsed by Stremio.
Use it at your own risk. The developer is not responsible for any issues or damages to your account or configuration.
Before reorganizing or modifying your addons, always create a backup using the built-in export feature.
---
Feedback
If you try the app, I’d love to hear your thoughts. Bug reports, feature suggestions, and improvement ideas are all welcome.
Thank you for reading, and enjoy managing your addons!
https://redd.it/1osvzd0
@r_opensource
luca12234345-stremorganizer.hf.space
Hugging Face – The AI community building the future.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Looking for contributors to help build an open-source Screen Recorder app (Electron + Vite + TypeScript + TailwindCSS)
Hey everyone 👋
I'm currently working on a desktop app called Screen Recorder, aiming to be an open-source alternative to Screen Studio. It’s built with Electron, Vite, TypeScript, and TailwindCSS.
Right now, I’m quite busy and don’t have much time to fix bugs or develop new features. So I’m looking for developers who are interested in contributing to open source, whether it’s fixing issues, improving UI/UX, or adding cool new features.
If you’re passionate about desktop apps, video tools, or just want to get involved in a collaborative open-source project, feel free to contribute.
Link: https://github.com/tamnguyenvan/screenarc
Let’s build something awesome together 🚀
https://redd.it/1oszo2l
@r_opensource
Hey everyone 👋
I'm currently working on a desktop app called Screen Recorder, aiming to be an open-source alternative to Screen Studio. It’s built with Electron, Vite, TypeScript, and TailwindCSS.
Right now, I’m quite busy and don’t have much time to fix bugs or develop new features. So I’m looking for developers who are interested in contributing to open source, whether it’s fixing issues, improving UI/UX, or adding cool new features.
If you’re passionate about desktop apps, video tools, or just want to get involved in a collaborative open-source project, feel free to contribute.
Link: https://github.com/tamnguyenvan/screenarc
Let’s build something awesome together 🚀
https://redd.it/1oszo2l
@r_opensource
GitHub
GitHub - tamnguyenvan/screenarc: ScreenArc – Cross-platform screen recorder & editor with automatic cinematic zooms, mouse tracking…
ScreenArc – Cross-platform screen recorder & editor with automatic cinematic zooms, mouse tracking, and effortless video creation. - tamnguyenvan/screenarc
I built a VS Code extension that turns your code into interactive flowcharts and visualizes your entire codebase dependencies
https://github.com/DucPhamNgoc08/CodeVisualizer
https://redd.it/1ot36wk
@r_opensource
https://github.com/DucPhamNgoc08/CodeVisualizer
https://redd.it/1ot36wk
@r_opensource
GitHub
GitHub - DucPhamNgoc08/CodeVisualizer: CodeVisualizer is a powerful VS Code extension that provides two main visualization capabilities:…
CodeVisualizer is a powerful VS Code extension that provides two main visualization capabilities: function-level flowcharts for understanding code control flow, and codebase-level dependency graphs...
Introducing NectarGAN: An Open-Source API and Graphical Dashboard for Building, Training, and Testing cGAN Models
Hi r/opensource!
I'm excited to share with you all my first open-source project, NectarGAN!
https://github.com/ZacharyBork/NectarGAN/
NectarGAN is comprised of two main components:
1. A modular PyTorch-based API for building, training, and testing cGAN models. The NectarGAN API includes drop-in components for managing and tracking training configurations and experiment data, handling and logging loss functions during training, building and applying complex schedules for losses and learning rates, and much more. With it, you can quickly take models from concept to deployment with minimal boilerplate code.
2. The NectarGAN Toolbox, a PySide6-based graphical dashboard for assembling, training, and testing models, reviewing experiment results, processing datasets, converting models to ONNX for deployment, and testing your converted models. You can oversee the entire lifecycle of your model from end to end without ever leaving the interface or writing a line of code.
NectarGAN also includes a Docker build setup and a dedicated CLI wrapper for the container. This allows you to train and test models in a containerized environment, with live file IO to the host machine, using Visdom for real-time data visualization during training.
NectarGAN has been tested on Windows and Linux (Debian/Ubuntu), and is available under the Apache 2.0 license.
A little bit about me:
I'm a CG pipeline TD/Tech Artist, and a while back I got really in to the idea of using machine learning models to generate textures for 3D models in Houdini. That led to me wanting to learn more about how the models work, which led to me wanting to build one, which led to NectarGAN. I've never actually released a piece of open-source software before, so I've been a tiny bit nervous putting it out there. This has been a passion project of mine for a while now, though, so I'm super excited to share it.
Any and all feedback is appreciated! If you're interested in contributing, there is a contribution guide in the repository. If you have any questions, please feel free to ask! I hope you all like it!
https://redd.it/1ot4oz1
@r_opensource
Hi r/opensource!
I'm excited to share with you all my first open-source project, NectarGAN!
https://github.com/ZacharyBork/NectarGAN/
NectarGAN is comprised of two main components:
1. A modular PyTorch-based API for building, training, and testing cGAN models. The NectarGAN API includes drop-in components for managing and tracking training configurations and experiment data, handling and logging loss functions during training, building and applying complex schedules for losses and learning rates, and much more. With it, you can quickly take models from concept to deployment with minimal boilerplate code.
2. The NectarGAN Toolbox, a PySide6-based graphical dashboard for assembling, training, and testing models, reviewing experiment results, processing datasets, converting models to ONNX for deployment, and testing your converted models. You can oversee the entire lifecycle of your model from end to end without ever leaving the interface or writing a line of code.
NectarGAN also includes a Docker build setup and a dedicated CLI wrapper for the container. This allows you to train and test models in a containerized environment, with live file IO to the host machine, using Visdom for real-time data visualization during training.
NectarGAN has been tested on Windows and Linux (Debian/Ubuntu), and is available under the Apache 2.0 license.
A little bit about me:
I'm a CG pipeline TD/Tech Artist, and a while back I got really in to the idea of using machine learning models to generate textures for 3D models in Houdini. That led to me wanting to learn more about how the models work, which led to me wanting to build one, which led to NectarGAN. I've never actually released a piece of open-source software before, so I've been a tiny bit nervous putting it out there. This has been a passion project of mine for a while now, though, so I'm super excited to share it.
Any and all feedback is appreciated! If you're interested in contributing, there is a contribution guide in the repository. If you have any questions, please feel free to ask! I hope you all like it!
https://redd.it/1ot4oz1
@r_opensource
GitHub
GitHub - ZacharyBork/NectarGAN: A full-featured graphical development environment and model assembly framework for Pix2pix-style…
A full-featured graphical development environment and model assembly framework for Pix2pix-style conditional GANs. - ZacharyBork/NectarGAN
ClusterXX - Clustering/Manifold/Decomposition methods in modern cpp(Call for contributors)
Hi all, I made a small library with basic clustering/manifold/decomposition methods in modern cpp. Im accepting PR's regarding optimization(maybe multithreading also) as well as implementation of other missing methods. Hope you find it useful:
https://github.com/spirosmaggioros/ClusterXX
https://redd.it/1ot6w37
@r_opensource
Hi all, I made a small library with basic clustering/manifold/decomposition methods in modern cpp. Im accepting PR's regarding optimization(maybe multithreading also) as well as implementation of other missing methods. Hope you find it useful:
https://github.com/spirosmaggioros/ClusterXX
https://redd.it/1ot6w37
@r_opensource
GitHub
GitHub - spirosmaggioros/ClusterXX: Clustering/Manifold/Decomposition methods in modern C++
Clustering/Manifold/Decomposition methods in modern C++ - spirosmaggioros/ClusterXX
I am building a lightweight engine for developing custom distributed CI/CD platforms. It makes building and managing custom CI/CD platforms easier by handling the orchestration so you can focus on how your workflow works..
https://github.com/open-ug/conveyor
https://redd.it/1ot932x
@r_opensource
https://github.com/open-ug/conveyor
https://redd.it/1ot932x
@r_opensource
GitHub
GitHub - open-ug/conveyor: Conveyor CI is an open-source lightweight engine for building CI/CD systems with ease
Conveyor CI is an open-source lightweight engine for building CI/CD systems with ease - open-ug/conveyor
A built a CRM for people like use
Hi guys,
As mentioned by u/YoRt3m, there is a typo in the noscript. english is not my native language; I meant:
I built a CRM for people like us
Here are more details about the project:
We've been struggling to find out a CRM that is easy to use, and relevant for our companies and after digging and trying every open-source CRM, even not open-source ones, we understood that the final solution would be building our own CRM
https://github.com/Klickbee/klickbee-crm
If you want to see some visuals, here is the figma :
https://www.figma.com/design/N4VAfIOJaAAtqzSjGbyFJ7/Klickbee--Community-?node-id=638-5428
For sure, I'm not a salesman; I don't know how to sell things, but I know how to build them and use them, and that's what makes the difference. we are not selling a product; we're building a community around Klickbee.
https://redd.it/1ota8xn
@r_opensource
Hi guys,
As mentioned by u/YoRt3m, there is a typo in the noscript. english is not my native language; I meant:
I built a CRM for people like us
Here are more details about the project:
We've been struggling to find out a CRM that is easy to use, and relevant for our companies and after digging and trying every open-source CRM, even not open-source ones, we understood that the final solution would be building our own CRM
https://github.com/Klickbee/klickbee-crm
If you want to see some visuals, here is the figma :
https://www.figma.com/design/N4VAfIOJaAAtqzSjGbyFJ7/Klickbee--Community-?node-id=638-5428
For sure, I'm not a salesman; I don't know how to sell things, but I know how to build them and use them, and that's what makes the difference. we are not selling a product; we're building a community around Klickbee.
https://redd.it/1ota8xn
@r_opensource
GitHub
GitHub - Klickbee/klickbee-crm: Monolithic open-source CRM — If life was simple as this CRM, we would all be happy
Monolithic open-source CRM — If life was simple as this CRM, we would all be happy - Klickbee/klickbee-crm
One hack closer to truly free form backends
https://github.com/BohdanPetryshyn/formzero
https://redd.it/1otaxc7
@r_opensource
https://github.com/BohdanPetryshyn/formzero
https://redd.it/1otaxc7
@r_opensource
GitHub
GitHub - BohdanPetryshyn/formzero: Form backend with zero paid features. One-click deploy to your free Cloudflare account.
Form backend with zero paid features. One-click deploy to your free Cloudflare account. - BohdanPetryshyn/formzero
Finally, parsing made easy (and type-safe) in Java!
Hideo, r/opensource!
last time I shared my open source project **Jar Jar Parse** (or jjparse for short), a parser combinator library for Java. The feedback was ... let's say, polite silence. So I figured: maybe what's missing isn't another "I made this"-post, but a real example.
Parsing in Java usually means ANTLR (or, if you're from the old school like me, CUP), or just a home-grown mess of recursive descent and regex soup. I wanted something that feels like Scala's parser combinators, but in Java: readable, type-safe, zero code generation and full IDE support.
So here's how to build a small config parser in a few lines of plain Java using only jjparse:
Parser<String> key = regex("a-zA-Z_a-zA-Z_0-9_");
Parser<String> value = regex("[^\n]");
Parser<Product<String, String>> line =
key.keepLeft(literal("=")).and(value);
Parser<Map<String, String>> config =
line.repeat().map(lines -> lines.stream().collect(
Collectors.toMap(Product::first, Product::second)
));
Some highlights:
Parsers are type-safe; they are generic in their input and their output type!
The input type is fixed for the whole class, so we don't need to provide it multiple times
There is a special support for character parsing, which handles unicode positions and whitespace gracefully
There are no additional dependencies besides JUnit and Maven plugins
Jar Jar Parse is for anyone who has ever thought:
"ANTLR is overkill, but regex make my eyes bleed."
I'd love to hear your thoughts, feedback, ideas, PRs, or just your favorite Star Wars memes!
Mesa parse now!
https://redd.it/1otau7t
@r_opensource
Hideo, r/opensource!
last time I shared my open source project **Jar Jar Parse** (or jjparse for short), a parser combinator library for Java. The feedback was ... let's say, polite silence. So I figured: maybe what's missing isn't another "I made this"-post, but a real example.
Parsing in Java usually means ANTLR (or, if you're from the old school like me, CUP), or just a home-grown mess of recursive descent and regex soup. I wanted something that feels like Scala's parser combinators, but in Java: readable, type-safe, zero code generation and full IDE support.
So here's how to build a small config parser in a few lines of plain Java using only jjparse:
Parser<String> key = regex("a-zA-Z_a-zA-Z_0-9_");
Parser<String> value = regex("[^\n]");
Parser<Product<String, String>> line =
key.keepLeft(literal("=")).and(value);
Parser<Map<String, String>> config =
line.repeat().map(lines -> lines.stream().collect(
Collectors.toMap(Product::first, Product::second)
));
Some highlights:
Parsers are type-safe; they are generic in their input and their output type!
The input type is fixed for the whole class, so we don't need to provide it multiple times
There is a special support for character parsing, which handles unicode positions and whitespace gracefully
There are no additional dependencies besides JUnit and Maven plugins
Jar Jar Parse is for anyone who has ever thought:
"ANTLR is overkill, but regex make my eyes bleed."
I'd love to hear your thoughts, feedback, ideas, PRs, or just your favorite Star Wars memes!
Mesa parse now!
https://redd.it/1otau7t
@r_opensource
GitHub
GitHub - BjoernLoetters/Jar-Jar-Parse: Lightweight and type-safe parser combinators for Java.
Lightweight and type-safe parser combinators for Java. - BjoernLoetters/Jar-Jar-Parse
Anything better than event viewer?
Is there any good FOSS alternative to the built in Event Viewer in Windows?
Can't stand the archaic UI, poor filtering options and overall clunkiness of it.
https://redd.it/1otes14
@r_opensource
Is there any good FOSS alternative to the built in Event Viewer in Windows?
Can't stand the archaic UI, poor filtering options and overall clunkiness of it.
https://redd.it/1otes14
@r_opensource
Reddit
From the opensource community on Reddit
Explore this post and more from the opensource community
Managing short-lived tokens — a small open-source config-driven solution
Hello!
On many VMs, several services need access tokens
some read them from metadata endpoints,
others require to chain calls — metadata → internal service → OAuth2 — just to get the final token,
or expect tokens from a local file (like vector.dev).
Each of them starts hitting the network separately, creating redundant calls and wasted retries.
So I just created token-agent — a small, config-driven service that:
\- fetches and exchanges tokens from multiple sources (you define in config),
\- supports chaining (source₁ → source₂ → … → sink),
\- writes or serves tokens via file, socket, or HTTP,
\- handles caching, retries, and expiration safely,
built-in retries, observability (prometheus dashboard included)
Use cases for me:
\- Passing tokens to vector.dev via files
\- Token source for other services on vm via http
Repo: github.com/AleksandrNi/token-agent
comes with a docker-compose examples for quick testing
Feedback is very important to me, please write your opinion
Thanks!
https://redd.it/1otgt7z
@r_opensource
Hello!
On many VMs, several services need access tokens
some read them from metadata endpoints,
others require to chain calls — metadata → internal service → OAuth2 — just to get the final token,
or expect tokens from a local file (like vector.dev).
Each of them starts hitting the network separately, creating redundant calls and wasted retries.
So I just created token-agent — a small, config-driven service that:
\- fetches and exchanges tokens from multiple sources (you define in config),
\- supports chaining (source₁ → source₂ → … → sink),
\- writes or serves tokens via file, socket, or HTTP,
\- handles caching, retries, and expiration safely,
built-in retries, observability (prometheus dashboard included)
Use cases for me:
\- Passing tokens to vector.dev via files
\- Token source for other services on vm via http
Repo: github.com/AleksandrNi/token-agent
comes with a docker-compose examples for quick testing
Feedback is very important to me, please write your opinion
Thanks!
https://redd.it/1otgt7z
@r_opensource
vector.dev
A lightweight, ultra-fast tool for building observability pipelines
Nixopus: one-click app hosting on your own server (install apps just like on your phone) now can be extended with extensions.
https://github.com/raghavyuva/nixopus
https://redd.it/1otj2j1
@r_opensource
https://github.com/raghavyuva/nixopus
https://redd.it/1otj2j1
@r_opensource
GitHub
GitHub - raghavyuva/nixopus: Open Source Alternative to vercel, heroku, netlify with simplified workflows
Open Source Alternative to vercel, heroku, netlify with simplified workflows - raghavyuva/nixopus
I built an open-source daily Git summarizer.
If you are looking for some tools that could summarize everything you have committed during a specific day under a certain project folder, you can try this product, which uses large language model to read all your Git commit messages and gives you a summary.
https://github.com/Qualia-Li/git-summarizer
https://redd.it/1othz9f
@r_opensource
If you are looking for some tools that could summarize everything you have committed during a specific day under a certain project folder, you can try this product, which uses large language model to read all your Git commit messages and gives you a summary.
https://github.com/Qualia-Li/git-summarizer
https://redd.it/1othz9f
@r_opensource
GitHub
GitHub - Qualia-Li/git-summarizer
Contribute to Qualia-Li/git-summarizer development by creating an account on GitHub.
How Open Source GenAI Is Reshaping Critical Industries from Finance to Healthcare
https://www.punch-tape.com/blog/spurring-technical-innovation-through-open-source-genai
https://redd.it/1otnmnz
@r_opensource
https://www.punch-tape.com/blog/spurring-technical-innovation-through-open-source-genai
https://redd.it/1otnmnz
@r_opensource
punchtape.com
Spurring Technical Innovation Through Open Source GenAI — punchtape.com
Open source has long been a foundation of software development. But today, it’s much more than that; it’s the engine behind some of the world’s most transformative innovations. From infrastructure and AI to healthcare IT and Fintech, open source provides…
VoxTube - More videos, no ads
Hello! we’re all fed up with companies forcing paid subnoscriptions/premium tiers and with users’ freedoms being taken away. I know... I’m fed up too. I’m Electus, and my goal is to put an end to this together.
VoxTube is a software that modifies YouTube on the client side to mimic premium features and bypasses YouTube restrictions. It's completely Open-Source and always will be. Feel free to use it and contribute!
Project page: https://epls.itch.io/voxtube
Code source: https://git.disroot.org/E.P.L.S/VoxTube
https://redd.it/1otoyul
@r_opensource
Hello! we’re all fed up with companies forcing paid subnoscriptions/premium tiers and with users’ freedoms being taken away. I know... I’m fed up too. I’m Electus, and my goal is to put an end to this together.
VoxTube is a software that modifies YouTube on the client side to mimic premium features and bypasses YouTube restrictions. It's completely Open-Source and always will be. Feel free to use it and contribute!
Project page: https://epls.itch.io/voxtube
Code source: https://git.disroot.org/E.P.L.S/VoxTube
https://redd.it/1otoyul
@r_opensource
itch.io
VoxTube (NEW!) by Electus Progressive Liberation Software
More videos, no ads. Available for Windows, Linux
Odino - a semantic search engine optimized for AI Agents
Semantic search with grep is impossible.
So I built Odino, a CLI that actually understands your files.
It’s perfect for AI agents and Cloud Code but also great as a companion to grep.
Grep finds text. Odino finds meaning.
What it does:
Scans your files and builds semantic embeddings
Uses the Embedding Gemma 300M model
Lets AI agents call semantic queries directly
Works locally through a simple Python CLI
Fully open source and ready for contributions
https://github.com/cesp99/odino
Open to feedback, issues, and pull requests.
https://redd.it/1otonw8
@r_opensource
Semantic search with grep is impossible.
So I built Odino, a CLI that actually understands your files.
It’s perfect for AI agents and Cloud Code but also great as a companion to grep.
Grep finds text. Odino finds meaning.
What it does:
Scans your files and builds semantic embeddings
Uses the Embedding Gemma 300M model
Lets AI agents call semantic queries directly
Works locally through a simple Python CLI
Fully open source and ready for contributions
https://github.com/cesp99/odino
Open to feedback, issues, and pull requests.
https://redd.it/1otonw8
@r_opensource
GitHub
GitHub - cesp99/odino: A local semantic search CLI that finds code and text using natural language queries, powered by embedding…
A local semantic search CLI that finds code and text using natural language queries, powered by embedding models with no internet required. - cesp99/odino
Help to choose Best Open Source Hardware Security Key.
Hello!
I don't have any actual Info about SoloKeys and Nitrokey. I want to know which Hardware Security Key I should use if it is fully Open Source (Yubikeys aren't fully Open Source as much as I know).
I don't know where to ask such Question, so I thought it would be a good Idea to ask about it there since I search for fully Open Source Project that I can fully rely on.
https://redd.it/1otrs9l
@r_opensource
Hello!
I don't have any actual Info about SoloKeys and Nitrokey. I want to know which Hardware Security Key I should use if it is fully Open Source (Yubikeys aren't fully Open Source as much as I know).
I don't know where to ask such Question, so I thought it would be a good Idea to ask about it there since I search for fully Open Source Project that I can fully rely on.
https://redd.it/1otrs9l
@r_opensource
Reddit
From the opensource community on Reddit
Explore this post and more from the opensource community
How do I share my package?
I recently published my first ever real package ( https://www.npmjs.com/package/appwrite-orm . It's incomplete currently, but I plan to finish it by next week). But now, I don't know what to do with my package.
I really want to make this package more popular and possibly gather a team to maintain it, but I have no idea how to make my package popular.
I'd be happy if someone more experienced could tell me how to popularize my package, and maybe give me some tips on how to make my package ready for release. thanks for the answers
https://redd.it/1otvpyt
@r_opensource
I recently published my first ever real package ( https://www.npmjs.com/package/appwrite-orm . It's incomplete currently, but I plan to finish it by next week). But now, I don't know what to do with my package.
I really want to make this package more popular and possibly gather a team to maintain it, but I have no idea how to make my package popular.
I'd be happy if someone more experienced could tell me how to popularize my package, and maybe give me some tips on how to make my package ready for release. thanks for the answers
https://redd.it/1otvpyt
@r_opensource
Hello I’m planning to open-source my Sesame alternative. It’s kinda rough, but not too bad!
Hey everyone,
I wanted to share a project I’ve been working on. I’m a founder currently building a new product, but until last month I was making a conversational AI. After pivoting, I thought I should share my codes.
demo video : https://www.loom.com/share/3ef0ffd2844a4f148e087a7e6bd69b9b
The project is a voice AI that can have real-time conversations. The client side runs on the web, and the backend runs models in the cloud with gpu.
In detail : for STT, I used whisper-large-v3-turbo, and for TTS, I modified chatterbox for real-time streaming. LLM is gpt api or gpt-oss-20b by ollama.
One advantage of local llm is that all data can remain local on your machine. In terms of speed and performance, I also recommend using the api. and the pricing is not expensive anymore. (costs $0.1 for 30 minutes? I guess)
In numbers: TTFT is around 1000 ms, and even with the llm api cost included, it’s roughly $0.50 per hour on a runpod A40 instance.
There are a few small details I built to make conversations feel more natural (though they might not be obvious in the demo video):
1. When the user is silent, it occasionally generates small self-talk.
2. The llm is always prompted to start with a pre-set “first word,” and that word’s audio is pre-generated to reduce TTFT.
3. It can insert short silences mid sentence for more natural pacing.
4. You can interrupt mid-speech, and only what’s spoken before interruption gets logged in the conversation history.
5. Thanks to multilingual Chatterbox, it can talk in any language and voice (English works best so far).
6. Audio is encoded and decoded with Opus.
7. Smart turn detection.
This is the repo! It includes both client and server codes. https://github.com/thxxx/harper
I’d love to hear what the community thinks. what do you think matters most for truly natural voice conversations?
https://redd.it/1otwag8
@r_opensource
Hey everyone,
I wanted to share a project I’ve been working on. I’m a founder currently building a new product, but until last month I was making a conversational AI. After pivoting, I thought I should share my codes.
demo video : https://www.loom.com/share/3ef0ffd2844a4f148e087a7e6bd69b9b
The project is a voice AI that can have real-time conversations. The client side runs on the web, and the backend runs models in the cloud with gpu.
In detail : for STT, I used whisper-large-v3-turbo, and for TTS, I modified chatterbox for real-time streaming. LLM is gpt api or gpt-oss-20b by ollama.
One advantage of local llm is that all data can remain local on your machine. In terms of speed and performance, I also recommend using the api. and the pricing is not expensive anymore. (costs $0.1 for 30 minutes? I guess)
In numbers: TTFT is around 1000 ms, and even with the llm api cost included, it’s roughly $0.50 per hour on a runpod A40 instance.
There are a few small details I built to make conversations feel more natural (though they might not be obvious in the demo video):
1. When the user is silent, it occasionally generates small self-talk.
2. The llm is always prompted to start with a pre-set “first word,” and that word’s audio is pre-generated to reduce TTFT.
3. It can insert short silences mid sentence for more natural pacing.
4. You can interrupt mid-speech, and only what’s spoken before interruption gets logged in the conversation history.
5. Thanks to multilingual Chatterbox, it can talk in any language and voice (English works best so far).
6. Audio is encoded and decoded with Opus.
7. Smart turn detection.
This is the repo! It includes both client and server codes. https://github.com/thxxx/harper
I’d love to hear what the community thinks. what do you think matters most for truly natural voice conversations?
https://redd.it/1otwag8
@r_opensource
Loom
Google Chrome - 9 November 2025