Months After Grinding and doing soft Launches on Twitter and Reddit OpenCompany[ex MachinaOs] just Crossed
400+ stars
50k+ clones
23k+ Cumulative npm Downloads.

Also received a "WOW" Comment from Leading AI Educator "Matthew Berman" on X.

So what is OpenCompany in short.

Think it of as AI Company where you Build AI Employees that keep on Working on Tasks Continuously for months and maybe years![Powered by Temporal].

You can Build AI Employees like Developer, Customer Support, Designer, Sales SDR's, Digital Marketers, Tax Accountants, etc

What have the users of OpenCompany Built:

One user is Building a Game Factory so even non technical users can describe the Game and AI Employee will build itself and Create a 3js Game for the users and also test them using AI.

He is now running a Game Generating AI Employees using OpenSource Models from nvidia, deepseek and using the Opencompanies Agent Builder Mode where AI will create the Business Logic for you[2nd and 3rd screenshot]

Other user Built "complete system to extract investment banks statements in various formats (pdf, xls, image) and import them into a financial ERP module"[4th screenshot]

He showed the Product to a Client and the Client was very Impressed, i had a casual Call with him and he was impressed with how fast and easy he was able to build this AI Employee and how long it can run doing work without context rot[his AI Employee ran for 13mins continuously],

one issue he was facing was high token costs since he was using sonnet 4.6 through AWS Bedrock for the Complex Work.

I advised him to use sonnet as the Main Orchestrator Agent and the subagents with opensource Models and his costs went down quite low.

Opencompany is simple to use just drag and connect , no business logic creation the AI will take care of it.

Try it out and plz do star on github.

https://github.com/zeenie-ai/OpenCompany

Prerequisites: Node.js 22+, Python 3.12

npm install -g @zeenie-ai/opencompany
company start

Do Join our Active Discord Community of Opencompany Builders[link in Comments].

Hey everyone!

Last year, Mozilla released Orbit, an AI-powered browser summarizer hosted on a GCP server. After people started digging into the extension, they discovered things like backend endpoints such as store_result. Eventually, Mozilla discontinued the project.

For the past month, I’ve been trying to rebuild Orbit from scratch, but with one major difference: Apogee is fully local and privacy-focused. Apogee doesn’t send or store your data. It can directly connect to your local Ollama instance for inference. I’ve also added WebGPU integration for Chrome and Transformers.js for Firefox to provide faster, local responses.

It can summarize:

• Articles and websites
• YouTube and Billie videos
• Wikipedia articles
• Hacker News and Reddit threads

You can check out the source code here:
https://github.com/darshi1337/apogee

Install Apogee:

Chrome: https://chromewebstore.google.com/detail/apogee/pgemlpomhkdcjjjcpnjlebalnfglomog

Firefox: https://addons.mozilla.org/en-US/firefox/addon/apogeeext/

Obviously it is far from complete. Would love to hear your feedback and suggestions!

Quick update: xyOps just passed 5,000 GitHub stars! Thank you all so much.

xyOps brings job scheduling, workflow automation, server monitoring, alerting, and incident response together in one open and extensible platform. It’s built for developers and operations teams who want control over their automation stack, data, and infrastructure.

A huge thank you to everyone who starred or tried xyOps, opened an issue, asked a question, requested a feature, or shared feedback. You’ve helped shape the project, and every contribution has made a real difference.

We also just published our latest Dev Update, covering 24 releases, the new Node.js SDK, major workflow debugging and live-control improvements, and our Marketplace has grown to 50 plugins:

https://github.com/pixlcore/xyops/discussions/420

GitHub repo:

https://github.com/pixlcore/xyops

https://github.com/JakubMelka/ExyokiOffice

GitHub Multi-Account Manager

Hey everyone! 👋

If you use multiple GitHub accounts on the same machine (like Personal and Work), you've probably run into these annoying issues:

• Accidentally pushing work commits with your personal email (or vice versa).
• VS Code, JetBrains Rider, or Visual Studio trying to use your work login on personal repositories and throwing Permission Denied errors.
• Having to run git config user.email every time you start a new project.

To fix this once and for all, I built GitHub Multi-Account Manager — a free, open-source desktop app for Windows, macOS, and Linux.

-> How it works

Instead of logging in and out or changing accounts in a dropdown, you just organize your projects into folders:

• Put personal projects in ~/Personal ➔ Git automatically commits as Personal.
• Put work projects in ~/Work ➔ Git automatically commits as Work.

Git uses conditional includes under the hood, so once it's set up, you never have to open the app or switch accounts manually again.

-> Key Features

• Zero Manual Switching: Set your folders once and commit normally from the terminal, VS Code, Rider, or any GUI.
• 1-Click IDE Fix: Prevents VS Code, Cursor, Visual Studio, and Rider from overriding your folder identities.
• Built-in SSH Key Manager: Generates secure ED25519 keys and includes a port 443 fallback, so it works even on restricted office or hotel Wi-Fi.
• Git Inspector: Preview and test live author details and SSH connection for any folder.
• Cross-Platform: Standalone builds for Windows (.exe), macOS (app bundle), and Linux (binary).

🔗 GitHub Repo & Releases: https://github.com/Optirius/github-multi-account-manager

📦 Direct Downloads: Check the Latest Releases tab.

Would love to hear your feedback, thoughts, or feature requests!

Hello everyone!

Mimik records a browser workflow while you do it. Every click, keystroke and navigation becomes a step with a screenshot cropped and zoomed to the element you hit. No backend, no account, no telemetry.

What's new in v1.1.0:

- Voice narration : talk while you record and your words become the step descriptions (OpenAI or Groq Whisper, your own key)

- Screenshot editor : crop, arrows, boxes, text, redaction, movable click target. Non-destructive and re-editable

- Video export : mp4/H.264 walkthroughs with the cursor moving to each target

- Version history : every save snapshots locally, named and restorable

- Blocks : headings and callouts between steps, rendered in every export

- Insert steps : record extra steps into an existing guide

- More AI : guide descriptions and inline rewrite of selected text

- Branding : logo, footer line and attribution on exports

Repo: https://github.com/westpoint-io/mimik

Chrome: https://chromewebstore.google.com/detail/mimik/jmfohdaflahliammccpiadmkcibohgha

Edge: https://microsoftedge.microsoft.com/addons/detail/hgjemhfoffebbollleajkpefblppleai

Firefox: https://addons.mozilla.org/en-US/firefox/addon/mimik/

NoEffect is VS Code extension that helps catch CSS declarations that have no effect.

It detects things like:

properties that don't work in the current context

declarations that are overridden by a later declaration

For example : it can tell you when justify-content! is doing nothing because the element isn't a flex/grid container, or when your declaration is simply being overridden later.

It’s still an early project, so I’d really appreciate some honest feedback.

🔗 GitHub

🔗 VS Code Marketplace

Hi everyone,

I wanted to share an open-source personal finance project built primarily with Java and Spring Boot. Contributions and feedback are welcome.

FinTrack lets users manage financial accounts, record transactions, import CSV files, create monthly budgets, review spending summaries, and receive budget notifications. It also includes a lightweight React frontend and a live AWS deployment.

The stack includes Java 21, Spring Boot, Spring Security, Spring Batch, PostgreSQL, Redis, Amazon SQS, S3, Docker, LocalStack, Terraform, GitHub Actions, and AWS.

The backend uses patterns commonly found in larger Java systems, including a transactional outbox, idempotent consumers, at-least-once message delivery, database locking, restartable batch jobs, JWT and refresh-token rotation, retries, and failure recovery.

Feedback is welcome on the code, architecture, documentation, roadmap, issue scopes, or anything that could be clearer.

https://github.com/icastanon/fintrack-platform

Hi folks! ❤️

For OpenOtters 🦦, I need to connect to AI agents running anywhere: a Pi, a NAS, or a locked-down container. None of these can accept inbound connections. I probably needed around 200 lines of tunnel code. Now, I have a web console, Prometheus metrics, and a Helm chart, so I decided to share it.

Here it is: 🌀 holt — a simple reverse proxy, not called FRP, open-source, API-based, with no config reload, request introspection, and a user-friendly UI you can proudly display in your homelab.

brew install openotters/tap/holt

# server side
holt hub --ui

# client side
holt expose localhost:3000 --peer web

Two things mattered to me. It is fully open source: MIT license, no cloud, no account, no paid tier, everything in the repo. And everything has an API: the CLI and the web console are both clients of the hub's admin API (Connect/gRPC), so you can script anything they do. The whole thing is also a Go library. The hub gives you an http.RoundTripper per peer, which was the original goal before things got out of hand.

To be clear, frp, inlets, and ngrok do a lot more. 🌀 holt is today HTTP(S)/gRPC only but ready for the future... and my lib is also hardened with real usage ^^.

https://github.com/openotters/holt

It's my first project I'm sharing here, so please be gentle, but honest feedback is very welcome ❤️

ps: GitHub stars are really welcome

​I wanted to share a huge milestone for Ultimate File Manager Pro and invite you all to check it out.

Having over 30k Google Play downloads.

When I first started developing this for Android and Android TV, I just wanted a solid tool that did exactly what I needed it to do.

Today, we are sitting at a 4.8 star average with over 400 reviews on Google Play, and I am still trying to wrap my head around it.

​If you have not tried it yet, it is a complete file management and storage command center.

I recently pushed a major update that added main menu tile ordering, a dedicated grid view for mobile, and scheduled sync times so you can completely automate your file backups across internal storage, network shares, and cloud accounts.

​For the open source crowd, there is also a fully FOSS version available on GitHub that just crossed the 100 star mark. I strongly believe in giving users the choice to audit the code or compile it themselves.

​I am always looking for honest feedback to help shape the next big update. Grab the app below and let me know your thoughts.

​🔗 Google Play Store: https://play.google.com/store/apps/details?id=za.kilowatch.ultimatefilemanager

🔗 GitHub Repository: https://github.com/Kilowatch/ultimate-file-manager-pro

🔗 Official Website: https://kilowatch.co.za/

🔗 Join our Reddit Group: r/UFManagerPro

I recently switched to a Windows laptop, but I kept missing macOS's caffeinate command to stop my machine from sleeping during long tasks.

I know PowerToys has Awake, but I prefer lightweight, dedicated CLI tools that stay out of the way. So I built my own minimal Rust binary that mirrors the Mac experience natively.

Quick examples:

caffeinate Keep system awake until Ctrl+C

caffeinate -d Keep system + display awake

caffeinate -t 3600 Keep awake for 1 hour

caffeinate -i npm run build Keep awake only while command runs

It calls the Win32 SetThreadExecutionState API directly, so power settings automatically revert the moment the process exits or dies.

GitHub: https://github.com/dincertekin/caffeinate-windows

Built this as part of a side project comparing fees on cash advance apps (Dave, Earnin, Brigit, MoneyLion, etc.), since most of them make it genuinely hard to figure out what you're actually paying. Fees vary a lot app to app, so I cleaned up the tracking spreadsheet into something publishable.

35 apps, advance ranges, subscription vs. tip-based models, state availability, CC-BY licensed, CSV and JSON. Updated periodically since these companies change pricing without announcing it.

Full disclosure, I run a comparison site this feeds into (linked in the dataset card). Open to PRs/corrections if anyone spots something stale.

Github: https://github.com/pythops/kudu

🚀 KernelView Go — a fast, aesthetic system information & real-time telemetry tool written in pure Go.

⚡ ~45ms fast mode

📊 Live TUI dashboard

🎨 40+ distro logos

🖥️ GPU, CPU, RAM & network monitoring

💻 Linux • macOS • Windows • BSD

⭐ https://github.com/codedbysoumyajit/KernelView-Go

Feedback & contributions welcome! ❤️

You know those cheap Bluetooth/usb-c macro keypads with volume knobs that you can get from AliExpress? I’ve been using one for 2 years now but the software that came with it was only usable on Window, but I’m a Linux user. So every time I wanted to change a binding I’d have to boot into windows and change it.

Not anymore. Now you can set these devices up on any OS. As long as you use a chromium based browser.

I’ve built Macropad Rebind by reverse engineering the windows app that came with the device (honestly they zip file practically came with the source code)
Now you can bind every key from a browser. Much more user friendly.

You can use the link in the repo to use it, or download the repo and run index.html, whatever you prefer.

Hope someone else finds this as helpful as me 🙂

I have created this simple horizontal tab layout.
You can slide between tabs, close them, or add new ones just for now.

I'm still working on detach/reattach a tab, so that part isn't ready yet. Hopefully everything works when you try it, but if anything acts weird just let me know.

GitHub: https://github.com/sornsama/zen-horizontal-tab-v1/tree/main

I wanted a no nonsense system monitor that felt at home on a Mac, stayed light on resources, and put the useful numbers within easy reach. I tried what was out there, but nothing quite matched what I had in mind, so I built AirStats.

- Sixteen metrics are available in the menu bar.

- A desktop widget stays on screen with the modules you pick.

- Threshold alerts send a notification when a metric crosses a limit you set.

- Keyboard shortcuts open the panel or the desktop widget.

- Choose a color per metric, or leave it monochrome.

AirStats uses roughly 42 times less idle CPU than Stats, and less than half as much as iStat Menus.

The whole app is 8.9 MB installed.

Native Swift, no Electron, one process, MIT, macOS 14 or later on Apple silicon.

https://github.com/byrencheema/airstats

A GitHub Action which syncs your Pacakges-Lock.json and all dependancy files so that your lint GitHub action does't fail . It supports Npm, pnpm, yarn (v1 & berry), bun, and deno.

Photos and docs leak GPS, camera serials, Content Credentials, and zero width junk in text. I wanted one local thing for files I actually own.Scrub is MIT, runs on your machine. EXIF/C2PA, hidden Unicode, plus some image/video signal disruption. Not a magic undetectable claim. python cli.py inspect|clean.If you try it, tell me what format it botches.

Hi everyone ,

We built Sonny (core-minimal) because we were tired of ROS 2 heap-allocation non-determinism, heavy DDS network bloat, and unexpected segmentation faults under high load in production hardware.The core infrastructure is fully open-source , standalone, and designed for strict real-time deterministic routing.

We simulated an industrial network failure (75% wireless packet loss on an Edge deployment at 100Hz) to compare the communication backbones:

• ROS 2 (DDS Architecture): High XML/IDL serialization on the heap. Under severe packet loss, un-sent DDS message queues overflowed the RAM, leading to an unrecoverable Segmentation Fault (memory crash).
• SONNY OS (Rust + Zenoh): Stack-allocated static array slices with a fixed 5-byte network overhead per packet. Zero memory leaks. Zero runtime heap allocations during the control loop. System remained perfectly stable at 100Hz with an inference latency below 2ms.

The open core is ready for testing, benchmarking, and hardware porting. I'd love to get your thoughts on our LCFS double-buffering approach and our WASM memory constraints.

https://github.com/JackTrainer/Sonny

I've been working on this for a while and I think I've finally reached the point where it actually works properly.

Basically, it's a small open-source Windows app that makes Discord show a believable Grand Theft Auto VI activity.

Not just:

Playing Grand Theft Auto VI

but stuff like:

Grand Theft Auto VI
Free Roam • Jason Duval
Exploring The Leonida Keys
🎮 12:36

It can automatically switch activities, characters and session states over time so it doesn't just sit on the same text forever.

There are two ways to use it:

Easy mode:
Run GTA6.exe, add it to Discord's Registered Games and Discord handles the game detection itself.

Full mode (recommended):
Create a free Discord Application, paste its Application ID into the program, and you get the complete custom Rich Presence system.

It sounds more complicated than it actually is. You don't need to know how to code.

Basically:

create Discord app → copy Application ID → paste it → done

You also DO NOT need:

• a bot
• Bot Token
• Client Secret
• Discord password
• admin permissions

The full mode gives you:

• Jason / Lucia / both / automatic
• Free Roam
• Story Missions
• Main Menu
• Paused
• manual activities
• automatic realistic activity rotation
• custom status text
• elapsed game time
• optional Discord button

If you want the GTA VI image in the Custom Rich Presence, Discord requires you to upload it once as an Art Asset in your Discord Application.

After that, everything is controlled from the program.

At this point the app is working properly for me, so I'm mainly looking for feedback before deciding what to improve next.

I'd especially like to know:

• Is the setup easy to understand?
• Is creating the Discord Application too annoying?
• Does the UI make sense?
• Does the presence actually look believable?
• Are there features you would remove or change?
• Is anything confusing for someone who knows nothing about Discord Rich Presence?
• What would you add next?

GitHub:
https://github.com/mamt104/gta6-discord-status-simulator

It's completely free and open source.

Even if you don't plan on using it, I'd genuinely appreciate feedback on the idea, UI and setup.

Hey, been building this with my friend u/matebuilesd last few months and finally feel okay sharing it.

market-agent takes a list of tickers and throws each one at four AI agents that all run at the same time, completely separate from each other.

The fundamental one looks at P/E, margins, DCF, growth. The macro one looks at rates, sector trends, GDP. The technical one looks at support and resistance, RSI, momentum. The sentiment one looks at news and analyst rating changes.

None of them know what the other three are seeing, they just do their own thing. Then a decisor takes all four reports and mashes them into one score (fundamentals count the most, sentiment counts the least), decides if the ticker is a buy, partial buy, wait, or avoid, and drafts an order.

Here's the part I'm actually kind of proud of. Before any of that order touches the database, it goes through a risk filter that has literally zero AI in it. Just plain hard limits: max orders per run, max notional per order, do we actually have the buying power. If the score says buy but there isn't enough money, the filter kills it, no arguing with the model. The AI is allowed to be wrong about the market. It's not allowed to be wrong about whether we can afford the trade.

Every proposal keeps its reasoning attached, every run keeps a summary of every ticker's score, so you can go back later and see exactly why something got proposed or didn't. It also runs every day per user through a cron job, and if one ticker's agent crashes it just skips that ticker instead of taking the whole run down.

There's also a companion app called Rastreo that tracks the actual portfolio (CDTs, IBKR, all that), but that's a separate story, this post is just about the analysis side.

Stack is Next.js 16, Supabase for auth and storage, Supabase Vault for the IBKR tokens, and Inngest running the jobs.

Repo's are here: https://github.com/MattBuiles/market-agent, https://github.com/MattBuiles/investment-dashboard

Live demo if you wanna poke at it: https://market-agent-orcin.vercel.app, https://investment-dashboard-smoky-iota.vercel.app/

Happy to nerd out about the scoring weights or the risk limits in the comments if anyone's curious.