
BoneScript, a new opensource Compiler for complete backend development
I developed an LSP, VS-Code extension and NPM package, please try it out and give me your thoughts!

I developed an LSP, VS-Code extension and NPM package, please try it out and give me your thoughts!
After months of work, I just dropped v2.0.4 of Umbrella Spoofer, a Windows tool for masking hardware identifiers. Complete rewrite of the UI, engine, and driver support.
a Windows tool for masking hardware identifiers. Complete rewrite of the UI, engine, and driver support.hat it does: Changes MachineGuid, BIOS serial, BaseBoard serial, MAC address, CPU identifier, GPU identifiers, volume serials, TPM identity, SMBIOS/UUID, disk serials, EFI boot, ARP cache, install date, USB/HID device serials, and registry timestamps. Every session picks from 20 coherent hardware profiles (Dell+Intel+NVIDIA, ASUS+AMD+Radeon, etc.) so your identity looks realistic.
What's new in v2.0.4:
What's free: Everything. No paid tiers, no telemetry, no ads. Built with C# WPF + C++ native helper + optional kernel driver.
GitHub: UmbrellaSpoofer v2.0.4
Turns out: very visible. Yesterday's scan found 185 out of 185 engagers on a single repo were bots. Not 90%. Not "mostly suspicious". Every single one. The repo had zero legitimate stars.
What I built
phantomstars is a Python tool that runs daily via GitHub Actions (free, no servers):
Campaign IDs are deterministic SHA-256 fingerprints of the sorted member set, so the same group of bots gets the same ID across runs. You can track a farm across multiple days even as individual accounts get suspended.
What the pattern actually looks like
It's remarkably consistent. A fake engagement campaign in the raw data:
Today's scan: 53 active campaigns across 3,560 accounts profiled. 798 classified as likely_fake. The repos being targeted are mostly low-quality AI tools and "executor" software that needs manufactured credibility fast.
Notifying the affected repo
When a repo hits a 40%+ fake engagement ratio or a campaign is detected, phantomstars opens an issue on that repo with the full suspect table: account logins, creation dates, composite scores, campaign membership. The maintainer sees it in their own issue tracker without having to find this project first.
Worth noting: a lot of these repos have issues disabled, which is a red flag on its own. Those get skipped silently.
Why I built this
Stars are how developers decide what to evaluate, what to depend on, what to recommend. When that signal is bought, it affects real decisions downstream. This started as curiosity about how measurable the problem was. The answer was more measurable than I expected.
It's part of broader research into AI slop distribution at JS Labs: https://labs.jamessawyer.co.uk/ai-slop-intelligence-dashboards/
The fake engagement problem and the AI content quality problem are really the same problem. Fake stars are the distribution layer that gets garbage in front of real users.
All open source. The data is append-only JSONL committed back to the repo after every run, queryable with jq.
Repo: https://github.com/tg12/phantomstars
Findings are probabilistic, false positives exist, the README explains the full scoring model. If your account shows up and you're a real person, there's a false positive process.
Questions welcome on the detection approach, GraphQL batching, or campaign ID stability.
Just shipped Cosmo — a clean TUI to monitor your Postgres database in real-time.
Github: https://github.com/mujib77/cosmo
Live overview, active queries, WAL rate, locks, and more.
I’m actively developing more features and older version support.
Would love your feedback and suggestions!
I don't know about you, but my Downloads folder has always been a disaster zone. PDFs, memes, installers, zip files, random images – all just sitting there in one giant pile. Every few weeks I'd open it, sigh, and spend 10 minutes manually dragging stuff into folders. Then a few days later it would be chaos again.
I looked at existing file organizers, but most of them either wanted a subscription, tried to upload my file names to some cloud, or were just way too heavy for something so simple. I wanted something that:
So I built Mouzi 🐭🧹
It's a tiny desktop app (~5MB) built with Tauri and Rust, so it's ridiculously lightweight. It watches your Downloads folder, and whenever a new file appears, it moves it to a subfolder based on its extension. Images go to Images/, PDFs to Documents/, installers to Installers/, etc. You can also create your own custom rules.
Key things:
It's early stage, but it's already keeping my own machine sane. I'd love to get some feedback from this community – especially around what features would make this genuinely useful for you. Does this solve a real problem, or am I just scratching my own itch?
Download / more info: https://mouzi.cc
We’ve been building OpenLoomi, an open-source AI work companion for people who live across too many work apps.
GitHub: https://github.com/melandlabs/openloomi
My problem with the AI is that there's just too damn many scattered informations for me to deal with everyday.
There's emails.
There's calendar.
There's docs.
There's X.
The painful part is they have their own AI, which is driving me crazy because I'm still jumping back and forth between all these apps.
So I decided I need my own AI workspace that can just work as a hub for everything and also remembers what's important.
OpenLoomi is our attempt to solve this problem:
We’re still early, and I’m trying to learn which workflows people actually care about.
Any feedback on the README, positioning, or first-run experience would help a lot.
I made a TUI app using meszmate/zigzag for following daily tech news from GitHub, Product Hunt, HackerNews, arXiv, and any custom RSS feeds you want to follow.
I hope you find it interesting.
Ask questions across your Markdown notes using a fully local Graph RAG engine. Built for Obsidian vaults, works with any folder of Markdown files. Extracts entity-relation triples from wikilinks & YAML frontmatter, retrieves answers via hybrid search (vector + BM25 + temporal). Multilingual. No cloud. Runs on Ollama.
Instagram recently removed end-to-end encryption, which is pretty concerning for anyone who values privacy. I started digging around and came across a promising open-source GitHub project.
It's a browser extension (available on Firefox) that adds end-to-end encryption to your data. The best part?
If you're tired of big platforms stripping away privacy features, this seems like a solid alternative worth checking out.
Link to the GitHub repo: https://github.com/h9zdev/LowkeyDM
Firefox Extension: https://addons.mozilla.org/en-GB/firefox/addon/lowkeydm/
Has anyone else tried this extension? Thoughts? Are there better options out there?
every new tab rolls a random rocket. save the ones you like and they'll come back. ~2×10⁴³ combinations, all deterministic from the hex palette.
rn it works on bash, zsh, powershell, and fish
https://github.com/clefspear/starcommand
lmk what you think!
Watch demo videos here: https://www.youtube.com/@nova3D_ai
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Use the project from the github repo here: https://github.com/RareSense/Nova3D
It's free. But you need to BYOK (bring your own API key - Gemini recommended).
I've been building this because I was tired of AI generators producing detailed 3D objects where all parts are combined into a single mesh. Trying to separate parts has an impact on the shape. It starts breaking + the surface quality gets damaged because of the mesh structure. It's very cumbersome to work with.
I believe my project has deep usefulness as a "world building" tool within video games or AR/VR experiences.
If you have a feature in mind, please open an issue on my provided github.
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Under the hood:
My tool uses an LLM as a structured code compiler (instead of an image generator). It writes native Blender Python code blocks that target specific nodes in the scene graph. The trick is that everything compiles through Blender's actual scene graph structures instead of pixel or point-cloud diffusion. Final export is a clean multi-part GLB with transform nodes and working pivot axes preserved.
Ever joined a new repo and spent hours figuring out what goes where? This fixes that.
pip install codemappr
codemappr scan .
Detects 20+ project types purely from file patterns, maps your architecture, explains folder purposes, finds entry points — all fully offline. Outputs a rich terminal dashboard, committable Markdown report, and an interactive HTML report.
No API keys. No login. No internet. Just install and run.
Would love feedback on edge cases and project types you'd want added. V2 with a file relationship map is coming.
🔗 github.com/erensh27/CodeMappr
Hi everyone,
I've created a project called "Foundry OSD", and I would like feedback from people who deal with Intune or Autopilot in real environments.
Foundry OSD is an open-source Windows OS deployment toolkit built as a C# / WinUI 3 desktop app. It helps create ISO or USB deployment media, boot into WinPE, configure Ethernet or Wi-Fi networking, and prepare a machine before the rest of the provisioning flow.
This started as a personal project because I needed a simpler way to handle the steps that still happen around bare-metal prep and provisioning. I know there are already open-source options, but I personally wanted a 100% free and open-source tool that could be very simple to use while still allowing deep deployment customization when needed. I would like to see whether Foundry OSD can become useful beyond my own use case, so I am trying to collect practical feedback.
In practice, the workflow is:
After several months of work, it feels ready enough to show outside my own setup. Feedback from Intune and Autopilot admins is welcome, especially around real-world pre-provisioning and bare-metal scenarios.
Discord lets you download all your data, but it arrives as an unreadable ZIP of CSVs and JSON. Most viewers crunch a few stats and stop. I spent the last few days building one that actually turns the ZIP into a full viewer for everything inside it.
The part I'm proudest of is the share card — your headline numbers, activity timeline, peak day, and a fun fact pulled from your data. One click to download, landscape or portrait. Preview in the repo.
Also in the app:
Runs entirely in your browser. The ZIP never leaves your machine.
Repo: https://github.com/baairon/discord-package-explorer
What I actually care about: feedback on the UI/UX. I tried to make it feel as native to Discord as possible and I want to know what landed and what didn't. A GitHub star would mean a lot if you find it useful.
Honestly the most fun part was looking at my own data — you can see exactly how much more active I was during COVID vs now.
KoBar is an open-source, modular productivity widget designed to keep your essential tools accessible at a glance. It operates as a lightweight, always-on-top overlay so you can manage tasks without disrupting your main workflow.
It features highly customizable modules, a clean UI, and quick-access utilities. Built with versatility in mind, it gives users full control over their desktop environment without unnecessary clutter.
Link in the comments! 🔗
Open Source Palantir
We're building OSIRIS - The Open-Source Palantir Alternative
Feel free to Pull Request the team will review and merge if applicable 🙏
Just launched at osirisai.live - a free, open-source global intelligence platform:
-Real-Time Tracking:
-10,000+ commercial, military and private aircraft live on a 3D globe
- 2,000+ satellites including ISS
- 1,400+ worldwide CCTV camera feeds
- Earthquakes, wildfires, nuclear facilities and severe weather
Built-In OSINT Tools (no installs needed):
Nmap port scanning from the browser
- DNS record lookup and enumeration
- WHOIS domain intelligence
- SSL/TLS certificate transparency
- BGP routing and ASN lookup
- Threat intelligence and IP reputation
All running on a 3D interactive globe with day/night cycle, 20+ live API feeds, and a SIGINT news aggregator.
Live: https://osirisai.live
GitHub: https://github.com/simplifaisoul/osiris
Free. Open Source. No sign-up required.
Share your ideas/methods too as Osint is more about methodology than the tools...
Hey! I built LiveShelf, a free and open-source Windows utility that turns minimized apps into live cards, so you can keep an eye on windows you’re waiting on without leaving them open.