Markon • Minimal Distraction‑free Markdown editor
https://metaory.github.io/markon

https://redd.it/1o3thxj
@r_opensource

I found a cool discord alternative

So I used to use revolt but they had to rebrand and their phone app got fucked because of it but I found a platform called nerimity that's pretty cool (nerimity.com)

Made a server too if anyone wanted to join it https://nerimity.com/i/XhwTD

https://redd.it/1o3un8g
@r_opensource

Show & Tell GroundCrew — weekend build: a multi-agent fact-checker (LangGraph + GPT-4o) hitting 72% on a FEVER slice

TL;DR: I spent the weekend building GroundCrew, an automated fact-checking pipeline. It takes any text → extracts claims → searches the web/Wikipedia → verifies and reports with confidence + evidence. On a 100-sample FEVER slice it got 71–72% overall, with strong SUPPORTS/REFUTES but struggles on NOT ENOUGH INFO. Repo + evals below — would love feedback on NEI detection & contradiction handling.

# Why this might be interesting

It’s a clean, typed LangGraph pipeline (agents with Pydantic I/O) you can read in one sitting.
Includes a mini evaluation harness (FEVER subset) and a simple ablation (web vs. Wikipedia-only).
Shows where LLMs still over-claim and how guardrails + structure help (but don’t fully fix) NEI.

# What it does (end-to-end)

1. Claim Extraction → pulls out factual statements from input text
2. Evidence Search → Tavily (web) or Wikipedia mode
3. Verification → compares claim ↔ evidence, assigns SUPPORTS / REFUTES / NEI \+ confidence
4. Reporting → Markdown/JSON report with per-claim rationale and evidence snippets

>All agents use structured outputs (Pydantic), so you get consistent types throughout the graph.

# Architecture (LangGraph)

Sequential 4-stage graph (Extraction → Search → Verify → Report)
Type-safe nodes with explicit schemas (less prompt-glue, fewer “stringly-typed” bugs)
Quality presets (model/temp/tools) you can toggle per run
Batch mode with parallel workers for quick evals

# Results (FEVER, 100 samples; GPT-4o)

|Configuration|Overall|SUPPORTS|REFUTES|NEI|
|:-|:-|:-|:-|:-|
|Web Search|71%|88%|82%|42%|
|Wikipedia-only|72%|91%|88%|36%|

Context: specialized FEVER systems are \~85–90%+. For a weekend LLM-centric pipeline, \~72% feels like a decent baseline — but NEI is clearly the weak spot.

# Where it breaks (and why)

NEI (not enough info): The model infers from partial evidence instead of abstaining. Teaching it to say “I don’t know (yet)” is harder than SUPPORTS/REFUTES.
Evidence specificity: e.g., claim says “founded by two men,” evidence lists two names but never states “two.” The verifier counts names and declares SUPPORTS — technically wrong under FEVER guidelines.
Contradiction edges: Subtle temporal qualifiers (“as of 2019…”) or entity disambiguation (same name, different entity) still trip it up.

# Repo & docs

Code: [https://github.com/tsensei/GroundCrew](https://github.com/tsensei/GroundCrew)
Evals: evals/ has noscripts + notes (FEVER slice + config toggles)
Wiki: Getting Started / Usage / Architecture / API Reference / Examples / Troubleshooting
License: MIT

# Specific feedback I’m looking for

1. NEI handling: best practices you’ve used to make abstention stick (prompting, routing, NLI filters, thresholding)?
2. Contradiction detection: lightweight ways to catch “close but not entailed” evidence without a huge reranker stack.
3. Eval design: additions you’d want to see to trust this style of system (more slices? harder subsets? human-in-the-loop checks?).

https://redd.it/1o3sqan
@r_opensource

GitHub - antoniorodr/Cronboard: A terminal-based dashboard for managing cron jobs.
https://github.com/antoniorodr/Cronboard

https://redd.it/1o3vkhd
@r_opensource

Spend Less Time Searching, More Time Contributing — GitHub Issue Alerts for open source beginners

Hi everyone,

I recently built a small project aimed at solving one of the biggest problems beginners face when trying to get into open source: finding relevant issues before they are taken.

The problem: Beginners often spend hours searching for suitable issues on GitHub. By the time they find one, it is either too advanced, already assigned, or lacks the beginner friendly labels. This creates unnecessary friction and discourages many from contributing.

The solution I tried: I created a simple tool that monitors any public repositories you choose and notifies you via email or Telegram when a new issue appears that matches your chosen labels. For example, you can track labels like "good first issue" or "frontend" across multiple repositories. The setup is straightforward and can be done within minutes.

Why I think this matters: It saves beginners from wasting time on endless searching, lets them catch issues early, and makes the whole process of contributing less intimidating. It is designed to be minimal and intuitive, without requiring users to manage complex infrastructure or paid services.

Right now this is an MVP. It works, but I want to refine it further. I am looking for:

* Feedback on whether this solves a real pain point for you.
* Suggestions for improvements or additional features that would make it more valuable.
* Thoughts on how this can better serve both contributors and maintainers.

If you have a few minutes, I would really appreciate your insights. Thanks.

[Github Repo](https://github.com/Phoenix1531/IssuePing)

https://redd.it/1o3vhth
@r_opensource

My group is creating a website that lets you track your reading, chat with people, and unlock achievements based on your progress!
https://github.com/GRead-Development/GRead

https://redd.it/1o4a4l0
@r_opensource

OSHPark like service for silicon coming soon. This was a cool talk from the guy starting it.
https://www.youtube.com/watch?v=0nqV9Eo17wA

https://redd.it/1o4bu8f
@r_opensource

We built open-source infrastructure for autonomous computer using llm agents at scale
https://github.com/LLmHub-dev/open-computer-use

https://redd.it/1o4fdax
@r_opensource

I was tired of the "first 20 DMs" chaos, so I built and open-sourced a serverless giveaway tool on Cloudflare's free tier.
https://github.com/promocodequeue/promo-code-queue-hobby

https://redd.it/1o4gm7c
@r_opensource

Seeking Inspiration: What's a missing open-source tool you'd love to see built?

I'm a developer with some free time and a strong desire to give back to the open-source world. Rather than starting a project based solely on my own needs, I'd love to build something that addresses a genuine need for others.

So, I'm turning to you—the people who live and breathe open-source.

What is a piece of software that you feel is missing from the open-source ecosystem?

I'm casting a wide net. The idea can be related to any domain:

· Developer Tools: A better CLI, a VS Code extension, a testing utility, a new library for a common problem.
· Desktop Applications: A simple, cross-platform note-taking app, a personal finance manager, a dedicated media player.
· Web Apps & Utilities: A privacy-focused alternative to a popular SaaS tool, a self-hostable service dashboard, a specialized content management system.
· System/DevOps: A configuration management tool, a backup solution, a network utility.

The key is that it should be focused and actionable. I'm not building the next Linux kernel, but I am willing to build a robust, well-maintained tool that solves a specific problem well.

Please describe your idea with as much detail as you can. If your idea is the one I choose to build, I will open-source it from day one and gladly credit you for the inspiration.

I'm excited to see what problems you want solved. Thanks for your creativity!

https://redd.it/1o4gqcx
@r_opensource

Muscle memory or my body as a user

I use a lot of hotkeys. And one of them — fast translate. I select any text in Dutch or Spanish, press the hotkeys on my keyboard, and then read the translation in English on the Google Translate webpage.

My brain and body are familiar with this pattern, so I don't think about it — my hands use this flow through muscle memory.

Yesterday, my hands automatically selected long text in English without paragraphs and pressed the hotkeys. Then I got stuck for a few seconds. The text is already in English, what happened?

Looks like the animal part of my brain uses these hotkeys differently. This is not a translation. This is a way to "make text easy to understand". Long text in English without paragraph breaks is too complicated, and my brain needs "translation" from this format.

Should we create a product based on this via AI/LLM? A tiny number of people use hotkeys at all. Even fewer people use them this way. Almost all people who use these patterns can code and will expect an open-source version, which is hard to earn on.

But it's interesting how my pattern "translate text" was actually "make text easy" all the time.

https://redd.it/1o4hmbt
@r_opensource

Hey vibe engineers, A good Video Editor maybe?

Since Capcut isn't free and davinci needs 16gb ram what can i use for editing with capcut features.
can a vibe engineer opensource one?

https://redd.it/1o4kg91
@r_opensource

Invio - Self-hosted invoicing without the bloat. | V1.0.0 Release

Hey r/opensource , today I’m excited to share the v1 of Invio 🎉

Invio is invoicing software that is designed to do one thing and one thing only - make invoices. I made Invio because I wanted to make some invoices but all the open source selfhosted solutions I could personnaly find where too heavy for my use case, so I made my own.

Why Invio might be for you:

You dislike the feature bloat of alternatives
You want to get your invoices out there quickly
You prefer a modern tech stack

And here is why Invio might NOT be for you:

You need more advanced features like CRM, project management
You have many employees

Here are the biggest chances since the last post I made:

Switched to puppeteer for PDF rendering instead of wkhtmltopdf
Proper tax handling
XML exports
XML embedding in PDF
Darkmode
Custom invoice numbering patterns
Improved custom templates

About the AI usage, I want to clarify this better then last time. AI was used during the development of this application, mostly to speed up the development proces, the app is however not vibe coded. Features are planned intentionally by me, code is sufficiently optimized (as far as I am concerned). I am open to have a discussion about ai usage in coding.

Repo: https://github.com/kittendevv/Invio

Site: https://invio.dev/

Docs: https://github.com/kittendevv/Invio/wiki

https://redd.it/1o4m6w9
@r_opensource

jws-server: 🧪 Mock websocket servers using json
https://github.com/AshnaWiar/jws-server

https://redd.it/1o4ps6m
@r_opensource

What's an open-source tool you discovered and now can't live without?

Hey everyone, what’s one open-source tool you stumbled on that ended up being way more useful than you expected?

Could be for coding, AI/ML, writing, research, replacing Google, whatever helped you out big time but you don't hear people talk about much.

I use almost daily: Tuta Mail & Calendar, Signal, OpenSteetMap, Inkscape, but I feel like there are so many hidden gems that deserve more love.

Would be awesome to hear your picks, maybe even find some new favorites myself.



https://redd.it/1o4seqi
@r_opensource

Project RogueGrid9 - Open-source P2P collaborative computing platform (Rust + React)

Hey r/opensource! 👋

I just launched the first public beta of RogueGrid9, a peer-to-peer collaborative computing platform I've been working on.

# What is it?

RogueGrid9 lets you share running processes (dev servers, apps, games) directly with your team using P2P connections - no cloud infrastructure needed.

Think of it like Discord meets VPS, but everything runs on your own hardware with peer-to-peer networking.

# Key Features

P2P Process Sharing \- Share terminals and running apps with teammates
Real-time Collaboration \- Text chat (voice coming in v0.2.0)
OAuth Authentication \- Google and GitHub login
Cross-platform \- Windows, Linux, macOS
100% Open Source \- MIT licensed

# Tech Stack

Backend: Rust + Tauri 2.0
Frontend: React 19 + TypeScript + Vite
Networking: Custom P2P protocol over WebRTC/WebSockets
Desktop: Native apps for all platforms

# Use Cases

Dev teams sharing local dev servers (no more ngrok bills!)
Pair programming with shared terminals
Gaming groups hosting game servers
Remote IT support
Collaborative debugging
Other cool stuff I havn't thought of

# Current Status (v0.1.5 Beta)

What works well: ✅ Windows and Linux fully supported ✅ P2P connections with NAT traversal ✅ OAuth authentication ✅ Text chat and grid management ✅ Process sharing and terminal emulation

What's experimental: 🚧 Voice chat (early stage) ⚠️ macOS process discovery (limited)

Not suported yet Turn relay servers for enterprise NAT has not been implemented yet due to bandwidth considerations but I plan to add this relitivly soon

# Links

GitHub: https://github.com/roguegrid9/roguegrid-desktop
Download: [https://github.com/roguegrid9/roguegrid-desktop/releases/latest](https://github.com/roguegrid9/roguegrid-desktop/releases/latest)
Website: https://roguegrid9.com

# Try It Out!

It's an early beta, so expect some rough edges. But it's fully functional and ready to use. I'd love to hear your feedback, bug reports, and feature ideas!

Windows and Linux work great. macOS users - you can use auth/chat but process sharing is limited (working on it for v0.2.0).

Found a bug? Open an issue on GitHub! Want to contribute? PRs welcome! Check out [CONTRIBUTING.md\]

Thanks for checking it out! Happy to answer any questions. 🚀




https://redd.it/1o4u499
@r_opensource

Why Imposter Syndrome Continues to Exist in Open Source?

Most open-source developers say they have felt not good enough, typically because they've faced brutal public criticism and the visibility of their efforts. How can people best normalize errors and frame learning as a valued aspect of open-source culture? Are there communities or practices that are successfully providing peer support and acknowledging incremental progress?

https://redd.it/1o4teif
@r_opensource

Valkey Insight, a fast and open source GUI for Valkey

Hello everyone! A few months ago I switched from Redis to Valkey, but I continued using Redis Insight as my GUI tool. Thing is, I started encountering some missing features, especially when it comes to new Valkey features like Bloom filters.

There is basically no support in Redis Insight to explore these data types. A quick check on the feature requests also showed me that the developers have no plans to support it in the near future. Since I wanted an open source GUI tool for Valkey and I couldn't find anything that satisfied my needs, I just made my own in Rust.

https://github.com/ben-oswald/valkey_insight

The app is now in a very early but already more or less usable state (it still has a lot of bugs, stability issues, missing features and a simple placeholder desktop icon...). However, Bloom filters are supported! :)

Even though the support is currently very basic and needs to be extended, I plan on pushing out frequent updates to gradually complete the application.

I would love to hear your feedback! What features do you think are missing, and what design changes should I make?

https://redd.it/1o4shux
@r_opensource

Pangolin changed their license from AGPLv3 to Commercial+AGPLv3

On October 5, 2025, Pangolin made a silent commit with message "Chungus" that updated the License to include commercial restrictions.
Before Change vs. After Change


https://redd.it/1o4yjwx
@r_opensource

BentoPDF is a privacy first PDF toolkit that works offline
http://www.bentopdf.com

https://redd.it/1o4y1hh
@r_opensource

Any open-source alternative to an app that spots warm leads?

Hey,

Anyone knows if there's a good open-source alternative to gojiberry.ai that can be self-hosted?

Thanks

https://redd.it/1o519yp
@r_opensource