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π¦ algonorhythm/flare
Flare: The IDE That Maps Your Code Like a City Map
Flare turns your codebase into a living map so you can instantly see how every file connects. Instead of staring at a boring file list, you watch a graph update as an AI agent works, with colors showing which files are risky or barely tested. The coolest part is the Review Cockpit, which groups changes into clear batches so you can spot when an agent breaks something and revert it instantly. It feels less like writing code and more like navigating a city where every street and building has a story.
π @hackernewsgithubprojects
Flare: The IDE That Maps Your Code Like a City Map
Flare turns your codebase into a living map so you can instantly see how every file connects. Instead of staring at a boring file list, you watch a graph update as an AI agent works, with colors showing which files are risky or barely tested. The coolest part is the Review Cockpit, which groups changes into clear batches so you can spot when an agent breaks something and revert it instantly. It feels less like writing code and more like navigating a city where every street and building has a story.
π @hackernewsgithubprojects
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π¦ suxrobgm/jobpilot
JobPilot: The AI Agent That Applies to Jobs for You
JobPilot is the AI job application agent that actually does the clicking and filling for you, running locally on your own machine so your data stays private. Instead of manually clicking through dozens of job boards, this tool uses your personal Claude or Codex subscription to search for roles, tailor your resume, and even draft messages to recruiters. The coolest part is that it runs in a real browser window right on your laptop, meaning it can beat those pesky CAPTCHAs and fill out forms exactly like a human would. You keep full control because the heavy lifting happens on your own subscription, not theirs.
π @hackernewsgithubprojects
JobPilot: The AI Agent That Applies to Jobs for You
JobPilot is the AI job application agent that actually does the clicking and filling for you, running locally on your own machine so your data stays private. Instead of manually clicking through dozens of job boards, this tool uses your personal Claude or Codex subscription to search for roles, tailor your resume, and even draft messages to recruiters. The coolest part is that it runs in a real browser window right on your laptop, meaning it can beat those pesky CAPTCHAs and fill out forms exactly like a human would. You keep full control because the heavy lifting happens on your own subscription, not theirs.
π @hackernewsgithubprojects
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π¦ coko7/latuicon
latuicon: The Terminal Emoji Picker
latuicon is the terminal interface that lets you pick emojis, kaomoji, and symbols without leaving your command line. It solves the headache of hunting through endless menus just to find one cute little face for your scripts. You simply type a few letters to fuzzy search, hit enter to grab the icon, and it prints it straight to your clipboard or variable. It even handles typos gracefully, so you don't need perfect spelling to find that thumbs-up emoji. The best part is how cleanly it fits into your workflow, letting you capture the result with a single line of code.
π @hackernewsgithubprojects
latuicon: The Terminal Emoji Picker
latuicon is the terminal interface that lets you pick emojis, kaomoji, and symbols without leaving your command line. It solves the headache of hunting through endless menus just to find one cute little face for your scripts. You simply type a few letters to fuzzy search, hit enter to grab the icon, and it prints it straight to your clipboard or variable. It even handles typos gracefully, so you don't need perfect spelling to find that thumbs-up emoji. The best part is how cleanly it fits into your workflow, letting you capture the result with a single line of code.
π @hackernewsgithubprojects
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π¦ dominikmartn/progressiveblurheader
ProgressiveBlurHeader: Apple-style blur effect
ProgressiveBlurHeader is the SwiftUI component that finally nails the tricky Apple Music style blur without the usual headaches. Building sticky headers with variable blur is notoriously hard because SwiftUI lacks a native API, and most workarounds end up with ugly hard edges or flat, uniform blurs that clip your content. This tool solves that by stacking a scrolling view, a custom blur layer, and your header in a simple three-layer setup that keeps everything visible and smooth. It uses the same internal blur engine found in the App Store, giving you full control over intensity and tinting while automatically adapting to light and dark modes.
π @hackernewsgithubprojects
ProgressiveBlurHeader: Apple-style blur effect
ProgressiveBlurHeader is the SwiftUI component that finally nails the tricky Apple Music style blur without the usual headaches. Building sticky headers with variable blur is notoriously hard because SwiftUI lacks a native API, and most workarounds end up with ugly hard edges or flat, uniform blurs that clip your content. This tool solves that by stacking a scrolling view, a custom blur layer, and your header in a simple three-layer setup that keeps everything visible and smooth. It uses the same internal blur engine found in the App Store, giving you full control over intensity and tinting while automatically adapting to light and dark modes.
π @hackernewsgithubprojects
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π¦ modeltc/minimax-h3-turbo
Minimax-H3 Turbo: Generate Video in 4 Steps
Minimax-H3 Turbo makes high-quality video generation incredibly fast by cutting the required processing steps down to just four. This project distills the original heavy model into lightweight versions that run significantly quicker on your hardware. You can use these checkpoints with standard coding libraries or visual workflow tools, allowing you to create videos from text prompts or existing images with synchronized audio. The repository provides ready-to-use setups for both technical users who prefer code and creators who like visual interfaces. It handles various video resolutions and keeps the original style intact while speeding up the creation process.
π @hackernewsgithubprojects
Minimax-H3 Turbo: Generate Video in 4 Steps
Minimax-H3 Turbo makes high-quality video generation incredibly fast by cutting the required processing steps down to just four. This project distills the original heavy model into lightweight versions that run significantly quicker on your hardware. You can use these checkpoints with standard coding libraries or visual workflow tools, allowing you to create videos from text prompts or existing images with synchronized audio. The repository provides ready-to-use setups for both technical users who prefer code and creators who like visual interfaces. It handles various video resolutions and keeps the original style intact while speeding up the creation process.
π @hackernewsgithubprojects
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π¦ duckyshell/comfyui-minimaxh3-prompt-writer
ComfyUI MiniMax H3 Prompt Writer
ComfyUI MiniMax H3 Prompt Writer lets you generate complex video prompts by mixing plain language with photos and clips. You describe your idea, add reference images or video clips, and the tool uses a local AI model to craft a detailed prompt for the MiniMax H3 video generator. It handles all the technical syntax so you just focus on the creative brief. The setup is flexible, supporting local models via Ollama or direct GGUF files, or remote APIs if you prefer. You get an editable result that you can refine or copy directly into your workflow.
π @hackernewsgithubprojects
ComfyUI MiniMax H3 Prompt Writer
ComfyUI MiniMax H3 Prompt Writer lets you generate complex video prompts by mixing plain language with photos and clips. You describe your idea, add reference images or video clips, and the tool uses a local AI model to craft a detailed prompt for the MiniMax H3 video generator. It handles all the technical syntax so you just focus on the creative brief. The setup is flexible, supporting local models via Ollama or direct GGUF files, or remote APIs if you prefer. You get an editable result that you can refine or copy directly into your workflow.
π @hackernewsgithubprojects
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π¦ shmimel/bee-write-back
Bee Write Back: The Dedicated Journaling Device
Write your thoughts into a private journal without letting your whole past come rushing back to haunt you. Bee Write Back is a clever Raspberry Pi device built around the WriterDeck form factor, designed specifically for nightly journaling. You open the app, answer a random prompt or just freewrite, and then lock it away until the next day. The beauty is in the separation: unlike a digital notebook that shows you every old entry, this system keeps your reflections fresh and focused on the present moment.
π @hackernewsgithubprojects
Bee Write Back: The Dedicated Journaling Device
Write your thoughts into a private journal without letting your whole past come rushing back to haunt you. Bee Write Back is a clever Raspberry Pi device built around the WriterDeck form factor, designed specifically for nightly journaling. You open the app, answer a random prompt or just freewrite, and then lock it away until the next day. The beauty is in the separation: unlike a digital notebook that shows you every old entry, this system keeps your reflections fresh and focused on the present moment.
π @hackernewsgithubprojects
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π¦ tonyd2wild/deepseek-v4-flash-dgx-spark
DeepSeek-V4-Flash on dual NVIDIA DGX Spark
Setting up multi-node serving on dual NVIDIA DGX Spark boxes usually ends in tears, with broken RDMA handshakes, cold-start timeouts, and silent driver bottlenecks. The deepseek-v4-flash-dgx-spark repository delivers a battle-tested recipe to run the DeepSeek-V4-Flash mixture-of-experts model split across two Spark nodes using vLLM. It orchestrates a tensor-parallel configuration over a two-hundred gigabit Ethernet RoCE link, utilizing FP8 quantization and multi-token prediction speculative decoding. The project includes a production-ready Docker image with native kernels, launch scripts, and solutions for the dreaded GID index mismatch. Sync your firmware, spin up the worker, and enjoy blazingly fast, long-context local serving.
π @hackernewsgithubprojects
DeepSeek-V4-Flash on dual NVIDIA DGX Spark
Setting up multi-node serving on dual NVIDIA DGX Spark boxes usually ends in tears, with broken RDMA handshakes, cold-start timeouts, and silent driver bottlenecks. The deepseek-v4-flash-dgx-spark repository delivers a battle-tested recipe to run the DeepSeek-V4-Flash mixture-of-experts model split across two Spark nodes using vLLM. It orchestrates a tensor-parallel configuration over a two-hundred gigabit Ethernet RoCE link, utilizing FP8 quantization and multi-token prediction speculative decoding. The project includes a production-ready Docker image with native kernels, launch scripts, and solutions for the dreaded GID index mismatch. Sync your firmware, spin up the worker, and enjoy blazingly fast, long-context local serving.
π @hackernewsgithubprojects
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π¦ carasibana/comfyui-h3-facerefine
Fix Blurry Faces in MiniMax H3 Video
MiniMax H3 struggles to render faces clearly when characters appear small in the frame. Comfyui-h3-facerefine solves this by automatically detecting each face, cropping it so it fills the screen, and letting the video model regenerate the details before stitching the result back into the original clip. This approach works because the model gets a close-up view instead of a distant blur, producing sharper expressions without changing the overall shot. The process runs frame by frame, tracking movement smoothly to keep the video stable. It is a practical way to fix a common generation flaw, giving you high-quality results even when the subject is far away.
π @hackernewsgithubprojects
Fix Blurry Faces in MiniMax H3 Video
MiniMax H3 struggles to render faces clearly when characters appear small in the frame. Comfyui-h3-facerefine solves this by automatically detecting each face, cropping it so it fills the screen, and letting the video model regenerate the details before stitching the result back into the original clip. This approach works because the model gets a close-up view instead of a distant blur, producing sharper expressions without changing the overall shot. The process runs frame by frame, tracking movement smoothly to keep the video stable. It is a practical way to fix a common generation flaw, giving you high-quality results even when the subject is far away.
π @hackernewsgithubprojects
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π¦ igniteui/igniteui-mcp-testbed
Test if AI Actually Uses Your Tools
See if your AI agent actually uses the tools you gave it by running the Ignite UI MCP Testbed. It spins up a fresh, isolated container, scaffolds a web app, and hands it to an AI coding agent with specific MCP servers and skills enabled. The real magic is the History tab, which tracks exactly which tools the AI called, which skills it loaded, andβcruciallyβwhat it ignored. You can instantly see if your agent is ignoring your custom APIs or just ignoring everything. It solves the mystery of AI reliability by proving whether your setup actually works, not just whether the code compiles.
π @hackernewsgithubprojects
Test if AI Actually Uses Your Tools
See if your AI agent actually uses the tools you gave it by running the Ignite UI MCP Testbed. It spins up a fresh, isolated container, scaffolds a web app, and hands it to an AI coding agent with specific MCP servers and skills enabled. The real magic is the History tab, which tracks exactly which tools the AI called, which skills it loaded, andβcruciallyβwhat it ignored. You can instantly see if your agent is ignoring your custom APIs or just ignoring everything. It solves the mystery of AI reliability by proving whether your setup actually works, not just whether the code compiles.
π @hackernewsgithubprojects
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π¦ matlowai/comfyui-mainodes
ComfyUI MAINodes Fixes Smearing in Fast Motion
ComfyUI MAINodes adds two clever nodes to MiniMax-H3: a Motion Lab that stops fast-motion smearing by temporarily slowing down only the chaotic parts of a clip, and a Contact-Sheet node that generates five simultaneous views of a subject from one reference image. The Motion Lab works by identifying where the model struggles to keep up, stretching out those specific frames so the AI gets extra time to draw clear poses, and then snapping them back to normal speed afterward. It uses a smart oracle to spot the messy spots without needing extra training, leaving the stable background untouched.
π @hackernewsgithubprojects
ComfyUI MAINodes Fixes Smearing in Fast Motion
ComfyUI MAINodes adds two clever nodes to MiniMax-H3: a Motion Lab that stops fast-motion smearing by temporarily slowing down only the chaotic parts of a clip, and a Contact-Sheet node that generates five simultaneous views of a subject from one reference image. The Motion Lab works by identifying where the model struggles to keep up, stretching out those specific frames so the AI gets extra time to draw clear poses, and then snapping them back to normal speed afterward. It uses a smart oracle to spot the messy spots without needing extra training, leaving the stable background untouched.
π @hackernewsgithubprojects
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π¦ donkeyusecorp/donkey
Donkey
Donkey is the local-first video editor that finally keeps your media safe on your own machine. Unlike cloud-heavy editors that upload your footage, Donkey runs its heavy lifting right inside your Mac. You get a full timeline with multi-track editing, captions, and effects, all processed locally so your files never leave your disk. The real magic happens with its AI assistant. You simply describe the shot you want, like a 1920s comic chase scene, and the app generates the video, voice, and music for you.
π @hackernewsgithubprojects
Donkey
Donkey is the local-first video editor that finally keeps your media safe on your own machine. Unlike cloud-heavy editors that upload your footage, Donkey runs its heavy lifting right inside your Mac. You get a full timeline with multi-track editing, captions, and effects, all processed locally so your files never leave your disk. The real magic happens with its AI assistant. You simply describe the shot you want, like a 1920s comic chase scene, and the app generates the video, voice, and music for you.
π @hackernewsgithubprojects
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π¦ mesh2motion/mesh2motion-desktop
Mesh2Motion Desktop
Mesh2Motion Desktop is the offline desktop app that brings web animation tools to your local machine without the internet. Right now, it is a work in progress using the Tauri framework, which keeps the app tiny by packing Rust code into small binaries instead of heavy web standards. The core idea is wrapping the existing Mesh2Motion web experience into a native window, letting you browse and download animations directly from your file system. It currently saves files to downloads and includes developer tools, so it is still in early testing.
π @hackernewsgithubprojects
Mesh2Motion Desktop
Mesh2Motion Desktop is the offline desktop app that brings web animation tools to your local machine without the internet. Right now, it is a work in progress using the Tauri framework, which keeps the app tiny by packing Rust code into small binaries instead of heavy web standards. The core idea is wrapping the existing Mesh2Motion web experience into a native window, letting you browse and download animations directly from your file system. It currently saves files to downloads and includes developer tools, so it is still in early testing.
π @hackernewsgithubprojects
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π¦ nathanw1014/strix-halo-llamacpp
Strix Halo llama.cpp: Blazing Fast Local AI
Strix Halo llama.cpp delivers massive speedups for AMDβs new Strix Halo graphics chips by bundling specialized fixes directly into a ready-to-run package. Most developers struggle with slow performance when running complex AI models on this specific hardware, but this project solves that by optimizing how the chip processes long contexts and quantized data. Instead of fighting with complicated build tools, you get a self-contained folder that includes the necessary GPU drivers, so you can start running large language models immediately. The result is a dramatic jump in processing speed, making it feasible to run heavy AI models locally without needing expensive server-grade hardware.
π @hackernewsgithubprojects
Strix Halo llama.cpp: Blazing Fast Local AI
Strix Halo llama.cpp delivers massive speedups for AMDβs new Strix Halo graphics chips by bundling specialized fixes directly into a ready-to-run package. Most developers struggle with slow performance when running complex AI models on this specific hardware, but this project solves that by optimizing how the chip processes long contexts and quantized data. Instead of fighting with complicated build tools, you get a self-contained folder that includes the necessary GPU drivers, so you can start running large language models immediately. The result is a dramatic jump in processing speed, making it feasible to run heavy AI models locally without needing expensive server-grade hardware.
π @hackernewsgithubprojects
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π¦ vivekchand/clawmetry
See Your AI Agent Think
Watch your AI agent think. ClawMetry installs once and instantly builds a live dashboard that tracks fourteen different coding assistants. Instead of guessing why your bot failed, you get a real-time flow diagram showing exactly how messages move from your prompts through the model and back. It auto-detects your setup and breaks down every token cost and tool call so you can stop flying blind. Stop guessing why your AI agent failed. ClawMetry installs once and instantly builds a live dashboard that tracks fourteen different coding assistants.
π @hackernewsgithubprojects
See Your AI Agent Think
Watch your AI agent think. ClawMetry installs once and instantly builds a live dashboard that tracks fourteen different coding assistants. Instead of guessing why your bot failed, you get a real-time flow diagram showing exactly how messages move from your prompts through the model and back. It auto-detects your setup and breaks down every token cost and tool call so you can stop flying blind. Stop guessing why your AI agent failed. ClawMetry installs once and instantly builds a live dashboard that tracks fourteen different coding assistants.
π @hackernewsgithubprojects
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π¦ achrefelouafi/vegetationgeneratorthreejs
Watch Ivy Grow on Any Shape with Vegetation Generator
Here is a fully interactive procedural ivy generator that turns any 3D shape into a living plant host. You simply drag your mouse across a sphere, box, or custom model to paint a path, and the code instantly grows a realistic vine skeleton that follows your stroke. The real magic is the physics: each leaf acts like a tiny hinge that flutters realistically in the wind without ever detaching from the branch. You can tweak the stem thickness, branch density, and wind strength on the fly, watching the changes happen instantly. It even lets you bloom flowers by hovering over the vines.
π @hackernewsgithubprojects
Watch Ivy Grow on Any Shape with Vegetation Generator
Here is a fully interactive procedural ivy generator that turns any 3D shape into a living plant host. You simply drag your mouse across a sphere, box, or custom model to paint a path, and the code instantly grows a realistic vine skeleton that follows your stroke. The real magic is the physics: each leaf acts like a tiny hinge that flutters realistically in the wind without ever detaching from the branch. You can tweak the stem thickness, branch density, and wind strength on the fly, watching the changes happen instantly. It even lets you bloom flowers by hovering over the vines.
π @hackernewsgithubprojects
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π¦ dfki-av/egoforce
EgoForce: Live 3D Hand Tracking for VR
EgoForce is the computer vision tool that finally nails realistic 3D hand tracking in virtual reality using just a single head-mounted camera. Most current methods struggle with depth and scale issues, often requiring expensive, specialized datasets to train properly. EgoForce solves this by using your forearm position as a visual guide to stabilize the hand reconstruction, even when your arm is partially out of frame. It works seamlessly across different camera types, including fisheye lenses found in popular AR glasses. This means you get precise, real-time hand meshes that feel natural in immersive applications without needing bulky sensors or complex setups.
π @hackernewsgithubprojects
EgoForce: Live 3D Hand Tracking for VR
EgoForce is the computer vision tool that finally nails realistic 3D hand tracking in virtual reality using just a single head-mounted camera. Most current methods struggle with depth and scale issues, often requiring expensive, specialized datasets to train properly. EgoForce solves this by using your forearm position as a visual guide to stabilize the hand reconstruction, even when your arm is partially out of frame. It works seamlessly across different camera types, including fisheye lenses found in popular AR glasses. This means you get precise, real-time hand meshes that feel natural in immersive applications without needing bulky sensors or complex setups.
π @hackernewsgithubprojects
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π¦ cutwire-studios/drift
Drift: The Free Video Editor That Reads Your Mind
Drift lets you magically isolate people from their backgrounds with a single click, turning complex video masking into a simple tap instead of a hours-long editing marathon. This free desktop editor uses that clever AI cutout feature alongside plenty of other handy tools like auto captions and cool visual effects. You simply drop in clips, tweak the look, and export without paying a dime or seeing any watermarks. It is a genuinely fun way to polish your videos quickly, making professional results accessible to everyone who just wants to make cool content.
π @hackernewsgithubprojects
Drift: The Free Video Editor That Reads Your Mind
Drift lets you magically isolate people from their backgrounds with a single click, turning complex video masking into a simple tap instead of a hours-long editing marathon. This free desktop editor uses that clever AI cutout feature alongside plenty of other handy tools like auto captions and cool visual effects. You simply drop in clips, tweak the look, and export without paying a dime or seeing any watermarks. It is a genuinely fun way to polish your videos quickly, making professional results accessible to everyone who just wants to make cool content.
π @hackernewsgithubprojects
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π¦ mlnlp-world/paper-bibchecker
Paper-BibChecker: Spot Fake Citations Before You Submit
Verify your bibliography instantly by scanning BibTeX files against trusted academic databases to catch hallucinated references before submission. This tool cross-checks titles, authors, and identifiers using sources like OpenAlex and official conference proceedings to flag errors or non-existent papers. It is useful because it saves researchers from accidental mistakes and ensures credibility in peer review without manually hunting down every citation. You can run it locally or use the web interface to get a clear report on which entries are valid and which need attention. Always double-check the flagged items yourself, as the tool is designed to assist rather than replace your final judgment on reference accuracy.
π @hackernewsgithubprojects
Paper-BibChecker: Spot Fake Citations Before You Submit
Verify your bibliography instantly by scanning BibTeX files against trusted academic databases to catch hallucinated references before submission. This tool cross-checks titles, authors, and identifiers using sources like OpenAlex and official conference proceedings to flag errors or non-existent papers. It is useful because it saves researchers from accidental mistakes and ensures credibility in peer review without manually hunting down every citation. You can run it locally or use the web interface to get a clear report on which entries are valid and which need attention. Always double-check the flagged items yourself, as the tool is designed to assist rather than replace your final judgment on reference accuracy.
π @hackernewsgithubprojects
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π¦ bevel-software/hexis
Hexis: Central AI Skills and Knowledge
Hexis is the centralized workspace that manages your companyβs AI skills and knowledge. It solves the messy problem of scattered context by storing everything in a git repository you own. Instead of copying prompts between tools, employees connect their AI agents once to this workspace. Then, every agent only sees the skills and data they are allowed to access. Managers stay in control through a simple review system for changes. It keeps your data private and lets you switch AI providers without rebuilding your tools from scratch.
π° https://news.ycombinator.com/item?id=49260145
π @hackernewsgithubprojects
Hexis: Central AI Skills and Knowledge
Hexis is the centralized workspace that manages your companyβs AI skills and knowledge. It solves the messy problem of scattered context by storing everything in a git repository you own. Instead of copying prompts between tools, employees connect their AI agents once to this workspace. Then, every agent only sees the skills and data they are allowed to access. Managers stay in control through a simple review system for changes. It keeps your data private and lets you switch AI providers without rebuilding your tools from scratch.
π° https://news.ycombinator.com/item?id=49260145
π @hackernewsgithubprojects