📦 reflex-dev/xy

Fast Python Charts with XY

Create interactive charts with millions of data points without freezing your browser. A library called xy solves the classic sluggish plot problem by utilizing a native Rust engine to process data. Instead of sending every single data point to your browser, it computes a smart, screen-bounded density surface, only loading the exact points when you zoom in close. It can even render ten billion points from OpenStreetMap flatly and instantly. It works directly in your notebooks, supports matplotlib code, and integrates into web apps without complex setups. Use it to build beautiful, highly responsive dashboards that handle massive datasets with ease.

📰 https://news.ycombinator.com/item?id=49085798

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📦 seanj1ang/design-judge-skills

design-judge-skills

The design judge skills repository is the ultimate set of smart assistant skills that finally takes the guesswork out of entering prestigious global design awards. It helps you navigate the entire journey by searching through a database of over twenty-two thousand real-world winning cases to find matching precedents, evaluating your work against criteria from major awards like Red Dot and IDEA, and drafting entry text directly from your project materials. Best of all, it audits your submission against official rules before you hit apply. If you want to stop guessing your design's potential and start submitting with data-backed confidence, this is the toolkit to install.

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📦 surge-ai/handbook

Handbook MD

Put your AI agents to the ultimate test by throwing them into the chaos of a real workday. This clever benchmark simulates the actual jobs enterprise workers tackle daily by dropping an agent into a live, cluttered environment. To succeed, the model must read a massive, complex company policy document, cross-reference it with messy spreadsheets, PDFs, and frantic Slack messages, and determine what actions are required or strictly forbidden. Every single task modifies its rules to block simple pattern-matching, making it so tough that even frontier models fail three-quarters of the time. It is a brilliant way to see if your AI can actually read and reason.

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📦 eyeline-labs/id-v2v

ID-V2V

You can now completely restyle a video's background and lighting while keeping the actor's exact facial expressions, eye gaze, and body movements perfectly intact. A new artificial intelligence project called id-v2v makes a shoot first, restyle later workflow a reality for filmmakers. By taking a source video and just a single stylized keyframe, it automatically carries your new artistic style across the entire sequence. If your edited keyframe is slightly misaligned, the system automatically corrects the pose mismatch from the second frame onward. It is a powerful way to transform video backgrounds and lighting without losing the human performance.

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📦 jchultarsky/mirador

Mirador: The Ultimate Minimal Terminal Dashboard

Mirador is an opinionated personal dashboard for your terminal that is designed to do exactly one job: sit in an open tab all day so you can glance at it without getting distracted. Unlike busy system monitors that constantly blink, shimmer, and fight for your attention, this tool deliberately dims every unfocused panel so only a single active item is at full brightness. Built entirely with Rust, it gives you world clocks, weather, interactive tasks, local calendar events, notes, stock watchlists, and live CPU metrics in a clean, customizable grid. Best of all, your data stays completely private in local files you own, requiring zero accounts, API keys, or background...

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📦 thejoshbrod/kernelforge

KernelForge

Optimize your PyTorch models automatically without writing a single line of CUDA or Triton code. KernelForge is a drop-in GPU kernel optimizer that profiles your model at the operator level to see where it is slow. It then hands those bottlenecks over to a smart language model to write a correct kernel, using Monte Carlo Tree Search to explore optimizations like loop unrolling and tiling until it beats PyTorch's baseline performance. You can run the entire optimization process on a remote GPU server over SSH and track its progress via a neat web dashboard. It is a brilliant way to squeeze serious speedups out of your specific hardware on a...

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📦 ayansh0209/codemap-ai

CodeMap AI

CodeMap AI is the repository visualizer that helps developers understand complex open source projects without getting lost in the files. By simply pasting a GitHub link, you get an interactive, visual map of the entire codebase, showing exact file dependencies and function call chains. What makes this special is its issue mapping feature. If you are trying to fix a bug, you can search for a GitHub issue, and the tool uses a precise parser combined with smart AI to point you directly to the exact files and functions that need changes. It is a game changer for jumping into a new project and contributing immediately.

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📦 alisa0808/vox-director

Vox Director

Turn a simple one-line topic into a finished, professional-looking animated paper-collage video complete with a script, voice-over, music, and captions. This creative assistant skill orchestrates advanced AI tools on the Atlas Cloud platform along with local command-line multimedia processing to turn your ideas into a rich, editorial-style moving poster. By mapping out a narrative arc, baking off styles, generating textured collage keyframes, and applying precise motion to separate elements, it crafts a dynamic video. The system manages pacing, handles voice-cloning with natural narrators, and stitches everything together into a polished video ready to share, giving you high-end design in just moments.

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📦 caohengyuan/chamaileon

Chamaileon Protein Design

AI models can now design custom proteins to bind to a specific biological target, but real world proteins constantly shift shapes and must interact with multiple partners at once. Chamaileon solves this by generating single protein sequences that can adapt across different shapes and bind to multiple targets. Built on top of tools like Protein MPNN and AlphaFold, it models the entire binding landscape simultaneously rather than assuming a rigid, single target interaction. This lets researchers design versatile, multi state protein binders using a smart mixed sampling strategy that overcomes the typical lack of high quality structural data. It is a massive step forward for programming proteins that work reliably...

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📦 letstri/druk

Druk Terminal Text Editor

You can now run a complete, modern text editor inside your terminal from a single self-contained executable with absolutely no heavy dependencies. The project is called druk, and it brings a fully featured workspace right to your command line, complete with a file tree, tabs, fuzzy search, and syntax highlighting for over thirty languages. What makes it incredibly cool is how fast and responsive it is, featuring background file operations that prevent the interface from freezing, and built-in git indicators that show your branch status and changed lines in real time. It is the perfect, lightweight tool for quick terminal edits.

📰 https://news.ycombinator.com/item?id=49088331

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📦 versenilvis/iris

Iris Terminal Autocomplete

Get code editor-style IntelliSense directly inside your terminal, even over remote secure shell connections. This project lets you run a fast, terminal-native autocomplete menu that overlays right in your command line window, completely locally without any heavy electron apps, web browser runtimes, or cloud accounts. It works on Linux and macOS, rendering your suggestions inline so it never breaks complex layouts or terminal tools. Because it is built in Go on top of basic terminal protocols, it is incredibly lightweight, requiring less than fifteen megabytes of memory. Simply run the single binary to auto-complete hundreds of popular developer tools instantly.

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📦 haseebkhalid1507/myx

Myx Terminal Spotify Player

Myx is the terminal Spotify player that adapts its entire interface to match your music. Built in Rust, this lightweight tool turns your terminal into a gorgeous, reactive dashboard. As your tracks change, the interface samples the album art and smoothly cross-fades the entire theme's color palette to match the mood of the music. It features a built-in live audio visualizer, synchronized lyrics, and full mouse support, meaning you can easily click tabs or double-click to play songs. It runs natively as a Spotify Connect device, giving you a beautiful, distraction-free way to control your music right from the command line.

📰 https://news.ycombinator.com/item?id=49094219

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📦 sunblaze-ucb/exploitgym

exploitgym

exploitgym is the benchmarking suite that finally puts artificial intelligence agents to the test in the high-stakes world of cybersecurity. Instead of using artificial toy problems, it challenges automated models with a massive collection of real-world vulnerabilities sourced straight from Linux kernel bug reports and capture-the-flag competitions. The platform evaluates whether these intelligent agents can actually analyze a security flaw, write code to trigger it, and successfully demonstrate the vulnerability. By providing a strict, realistic environment, it helps researchers measure how close AI is to autonomously finding and fixing complex software bugs. Try exploitgym to see if modern AI is ready for real security work.

📰 https://news.ycombinator.com/item?id=49094493

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📦 gair-lab/light-mer

Light-MER

You can now run full multimodal emotion recognition using eleven times fewer floating point operations by shrinking a massive eight billion parameter teacher network down to a tiny sub-one billion parameter student model. The light-mer repository achieves this using a clever geometric distillation process to align hidden-state representations across different models. This means a lightweight model can process face cropped visuals, audio, and text with minimal memory while keeping the exact same expressive output interface. It is a practical way to run complex emotional understanding tasks on normal computer hardware. Try downloading their stage-one student checkpoint to see how fast on-device emotional intelligence can really run.

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📦 milkevich/routeveil

Routeveil

You can now add cinematic, full-screen transitions and shared-element animations to your React Router applications without cluttering your page components with complex animation logic. Routeveil coordinates the complete navigation lifecycle, seamlessly fading, sliding, or dissolving views while holding the router from committing the new page until the outgoing animation finishes. It includes twenty built-in effects like retro film-grain dissolves, circular iris wipes, and rotating venetian blinds. Developers get fully typed options and the ability to preview animations without changing the URL. Routeveil makes web navigation feel like a polished native application with zero configuration clutter.

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📦 gavamedia/deltafin

Deltafin: Running a 2.8 Trillion Parameter AI on a Single Mac

Deltafin is the local inference engine that lets you run a massive two point eight trillion parameter artificial intelligence model on a single Apple Silicon Mac or Linux workstation. Normally, a model this large requires an entire data center, but Deltafin makes it possible on home hardware by loading only the tiny fraction of the model needed for each word. While the core engine stays in memory, it dynamically streams the rest of the model's massive expert layers from the web directly into a local disk cache only when they are called. It even sets up a local network server compatible with popular coding and chat tools, giving you a...

📰 https://news.ycombinator.com/item?id=49090233

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📦 nolabs-ai/nono

nono

You can now run any AI agent on your computer while keeping your private files, SSH keys, and cloud credentials completely invisible to it. A security tool called nono lets you spin up zero-latency sandboxes for popular AI coding assistants in seconds with no containers, no virtual machines, and absolutely zero setup. It works by enforcing strict, least-privilege security boundaries directly through your operating system. What makes nono incredibly clever is that it does not just sandbox the agent itself, but also dynamically isolates the individual terminal tools the agent tries to run, like Git or curl, giving each one its own tailored security policy. It is a brilliant, lightweight...

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📦 deepcoldy/botmux

Botmux

You can now control powerful terminal-based AI coding assistants directly from your team chat. An open-source project called botmux bridges chat apps like Feishu and Lark straight to command-line developers like Claude Code and Gemini. Instead of wrestling with terminal windows, every direct message or group topic automatically spins up its own live-streaming terminal session. This means your team can collaborate with autonomous coding agents inside your existing chat workspace, watching them write and execute code in real time. It solves the headache of isolating and managing terminal instances, turning a solitary command-line experience into a shared multiplayer playground.

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📦 nizos/probity

Probity

Force your artificial intelligence coding assistants to actually follow your development rules with Probity. Instead of letting an agent write messy production code first, this tool hooks directly into your session to check every file write and shell command before it even happens. It acts as a lightweight policy engine, reading your agent's recent activity transcript to block actions that break your guidelines, like writing code without a failing test. It tells the agent exactly why it was blocked so it can immediately correct course. It works across different platforms, giving you complete control over your automated workflow.

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📦 comfy-org/comfy-aimdo

Comfy Aimdo

Your graphics card does not have to crash when running giant artificial intelligence models. Comfy Aimdo is a dynamic virtual memory allocator for PyTorch that keeps your hardware running smoothly even under heavy load. Instead of stuffing every single neural network weight into your graphics memory all at once, this clever tool reserves virtual address space for free and only maps physical memory right when a specific layer needs it. If your card starts running out of space, it automatically offloads lower priority weights to keep the system stable. It is a brilliant way to run massive workflows without constantly hitting memory limits.

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