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The first universal 3D robot viewer for the browser… load URDF, MJCF, or USD in seconds. No installs. No setup. Developer Victor Oldensand has built Mechaverse, a universal 3D robotics viewer that works on desktop and even mobile (if your phone is strong enough). No installs. No setup. Just...

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Ilir Aliu

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40,023 görüntüleme • 1 yıl önce •via X (Twitter)

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🏗️ Applied Showcase: Photorealistic 3D scenes from video, running entirely in your browser. Gauzilla Pro (Gauzilla Pro) turns drone and smartphone footage into navigable digital twins with AI-powered segmentation. The platform runs on WebAssembly with no CUDA or Python installs. The core renderer is open-source Rust if you want to see how the splatting math actually works. 🔗 #GaussianSplatting #DigitalTwins #WebAssembly #3DReconstruction #AEC
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🏗️ Applied Showcase: Photorealistic 3D scenes from video, running entirely in your browser. Gauzilla Pro (Gauzilla Pro) turns drone and smartphone footage into navigable digital twins with AI-powered segmentation. The platform runs on WebAssembly with no CUDA or Python installs. The core renderer is open-source Rust if you want to see how the splatting math actually works. 🔗 #GaussianSplatting #DigitalTwins #WebAssembly #3DReconstruction #AEC

WebGL / WebGPU

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Tired of teleoperation? One human video → 1,000s of robot demos. (📍GitHub ) Scaling Robot Data Without Dynamics Simulation or Robot Hardware Real2Render2Real (R2R2R) is a new way to scale robot data without physics simulation or hardware. You take a phone scan + a single monocular human demo. It tracks the motion, renders photorealistic scenes, and generates diverse, robot-agnostic trajectories ready for training. > No teleop, no sim, no robot, just a phone and a video > Train VLA models and diffusion policies directly on the output > Supports multiple robot embodiments with kinematic consistency > 1000s of demos in 1/27 the time of real-world collection Thank you, Max Fu, for sharing!! Project: Paper: Code coming soon: It shows that with the right pipeline, you can scale robot learning data without touching a robot. One of the most interesting directions in scalable robotics today. —— Weekly robotics and AI insights. Subscribe free:
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Tired of teleoperation? One human video → 1,000s of robot demos. (📍GitHub ) Scaling Robot Data Without Dynamics Simulation or Robot Hardware Real2Render2Real (R2R2R) is a new way to scale robot data without physics simulation or hardware. You take a phone scan + a single monocular human demo. It tracks the motion, renders photorealistic scenes, and generates diverse, robot-agnostic trajectories ready for training. > No teleop, no sim, no robot, just a phone and a video > Train VLA models and diffusion policies directly on the output > Supports multiple robot embodiments with kinematic consistency > 1000s of demos in 1/27 the time of real-world collection Thank you, Max Fu, for sharing!! Project: Paper: Code coming soon: It shows that with the right pipeline, you can scale robot learning data without touching a robot. One of the most interesting directions in scalable robotics today. —— Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

42,864 görüntüleme • 6 ay önce

Open-source robot arm meets hand tracking [📍GitHub below] It is designed with an industrial mindset but built as a 3D-printed desktop system. PAROL6 paired with a LEAP Motion controller is a nice example of how accessible robot teleoperation has become. • Hand motion is streamed to the robot at 100 Hz via UDP • A pneumatic gripper is controlled by simple fist open and close gestures • The entire robot stack is open source, from mechanics to control software Combine that with low-latency hand tracking and you get a very practical platform for learning manipulation, teleoperation, and human-robot interfaces. This kind of setup is great for experimentation, teleop, data collection, and teaching robots by demonstration All without proprietary hardware or locked software. Credit to SourceRobotics 📍Code: —— Weekly robotics and AI insights. Subscribe free:
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Open-source robot arm meets hand tracking [📍GitHub below] It is designed with an industrial mindset but built as a 3D-printed desktop system. PAROL6 paired with a LEAP Motion controller is a nice example of how accessible robot teleoperation has become. • Hand motion is streamed to the robot at 100 Hz via UDP • A pneumatic gripper is controlled by simple fist open and close gestures • The entire robot stack is open source, from mechanics to control software Combine that with low-latency hand tracking and you get a very practical platform for learning manipulation, teleoperation, and human-robot interfaces. This kind of setup is great for experimentation, teleop, data collection, and teaching robots by demonstration All without proprietary hardware or locked software. Credit to SourceRobotics 📍Code: —— Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

32,025 görüntüleme • 6 ay önce

THE TOOL EVERY EMBEDDED DEV NEEDS TO KNOW ABOUT no components. no wiring. no setup → wokwi is a browser simulator for arduino, esp32, and stm32 & it actually works drop in sensors, hook up a display, add servos. run your code instantly...everything happens in the browser 1.7M+ projects built by the community, a simon says game, pong on a nano, a 32x32 LED tunnel... all simulated... all shareable learning embedded systems or just need to prototype without touching hardware this is your shortcut
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THE TOOL EVERY EMBEDDED DEV NEEDS TO KNOW ABOUT no components. no wiring. no setup → wokwi is a browser simulator for arduino, esp32, and stm32 & it actually works drop in sensors, hook up a display, add servos. run your code instantly...everything happens in the browser 1.7M+ projects built by the community, a simon says game, pong on a nano, a 32x32 LED tunnel... all simulated... all shareable learning embedded systems or just need to prototype without touching hardware this is your shortcut

Vaishnavi

35,148 görüntüleme • 4 ay önce

Adobe.. has released a tool that combines Generative Gaussian Splats with a Diffusion layer and it's not all over the internet? WHAT IS GOING ON :D I had to test this out ofc! Substance 3D viewer, the new 3d viewer just released by Adobe, not only supports viewing of a large, large list of 3d formats, but it also supports generating of 3d models as Gaussian Splats. Combine that with the built-in 3d to image functionality and you basically have at least a few of the steps I've been doing for the last year or so using multiple tools. Exciting stuff! The new Photoshop Beta also supports the 3D viewer and you can import 3d files directly in photoshop as smart objects linked to the viewer. The elements you prompt in based on your models, can be easily exported to your clipboard without backgrounds making it very easy to use this in your normal image editing workflows. I have a suspicion that we'll see much more of this in other Adobe tools and I'm very curious to see this used for things like this in more 3d tools than "just" Adobe Neo (which is fantastic btw). #adobe #art #gaussiansplatting
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Adobe.. has released a tool that combines Generative Gaussian Splats with a Diffusion layer and it's not all over the internet? WHAT IS GOING ON :D I had to test this out ofc! Substance 3D viewer, the new 3d viewer just released by Adobe, not only supports viewing of a large, large list of 3d formats, but it also supports generating of 3d models as Gaussian Splats. Combine that with the built-in 3d to image functionality and you basically have at least a few of the steps I've been doing for the last year or so using multiple tools. Exciting stuff! The new Photoshop Beta also supports the 3D viewer and you can import 3d files directly in photoshop as smart objects linked to the viewer. The elements you prompt in based on your models, can be easily exported to your clipboard without backgrounds making it very easy to use this in your normal image editing workflows. I have a suspicion that we'll see much more of this in other Adobe tools and I'm very curious to see this used for things like this in more 3d tools than "just" Adobe Neo (which is fantastic btw). #adobe #art #gaussiansplatting

Martin Nebelong

280,050 görüntüleme • 1 yıl önce

How precise can a robot get… without ever seeing the object move? Turns out, just a geometric model is enough. A robot hit 73 precise 3D goals in a row, using only a geometric model. No demonstrations. No imitation learning. No fancy vision models. The secret? Sample where the robot could make contact. Let local contact-implicit control take over from there. That’s it. ✅ Real-time performance ✅ Natural contact making and breaking ✅ Works on tricky tasks like pushing and rotating This approach mixes global planning with local MPC. Fast. Accurate. Sample-efficient. Thanks for sharing, Michael Posa ! 📍Watch it in action: Paper:
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How precise can a robot get… without ever seeing the object move? Turns out, just a geometric model is enough. A robot hit 73 precise 3D goals in a row, using only a geometric model. No demonstrations. No imitation learning. No fancy vision models. The secret? Sample where the robot could make contact. Let local contact-implicit control take over from there. That’s it. ✅ Real-time performance ✅ Natural contact making and breaking ✅ Works on tricky tasks like pushing and rotating This approach mixes global planning with local MPC. Fast. Accurate. Sample-efficient. Thanks for sharing, Michael Posa ! 📍Watch it in action: Paper:

Ilir Aliu

19,012 görüntüleme • 1 yıl önce

What if robots could learn real-world tasks from your perspective… without ever touching a robot? This is a system that trains robot policies using nothing but human-first, egocentric video data from smart glasses. No robots, no teleop, no sensors, just humans doing real tasks in the real world. Why it matters ✅ Learns robot policies from 20 minutes of human video; zero robot demos ✅ Generalizes to new objects, views, and even robot morphologies ✅ Uses 3D points for interpretable, spatially grounded learning ✅ Deploys directly to real-world robots with strong zero-shot success Thank you, Vincent Liu, for sharing!!! Learn more here: 🔗 Paper: 🌐 Website: 📍 BOOKMARK FOR LATER
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What if robots could learn real-world tasks from your perspective… without ever touching a robot? This is a system that trains robot policies using nothing but human-first, egocentric video data from smart glasses. No robots, no teleop, no sensors, just humans doing real tasks in the real world. Why it matters ✅ Learns robot policies from 20 minutes of human video; zero robot demos ✅ Generalizes to new objects, views, and even robot morphologies ✅ Uses 3D points for interpretable, spatially grounded learning ✅ Deploys directly to real-world robots with strong zero-shot success Thank you, Vincent Liu, for sharing!!! Learn more here: 🔗 Paper: 🌐 Website: 📍 BOOKMARK FOR LATER

Ilir Aliu - eu/acc

10,509 görüntüleme • 1 yıl önce

Free alternative for Chemdraw! Meet Moldraw. We launched a tool for drawing molecular structures. Now it comes with new updates. (A 3D viewer) This is the fastest way to draw and visualize molecules online. Here is what makes it useful. → Import molecular structures by name in seconds. → Draw any structures with intuitive canvas → Watch 2D structures convert to 3D → Export 2D structures as MOL, SVGs or PNG for papers and slides. → Export 3D structures as XYZ, X3D, OBJ etc → Built on the trusted Ketcher framework used by professionals. No install. No license fee. Just open your browser and use. Share the post to help more researchers. Follow Scidart Academy for more updates.
1:18

Free alternative for Chemdraw! Meet Moldraw. We launched a tool for drawing molecular structures. Now it comes with new updates. (A 3D viewer) This is the fastest way to draw and visualize molecules online. Here is what makes it useful. → Import molecular structures by name in seconds. → Draw any structures with intuitive canvas → Watch 2D structures convert to 3D → Export 2D structures as MOL, SVGs or PNG for papers and slides. → Export 3D structures as XYZ, X3D, OBJ etc → Built on the trusted Ketcher framework used by professionals. No install. No license fee. Just open your browser and use. Share the post to help more researchers. Follow Scidart Academy for more updates.

Rafeeque

27,852 görüntüleme • 7 ay önce

Introducing the Robora 3D Builder by our Co-Founder, Guang Cheng: a web based, drag and drop interface for rapid robotics prototyping. Designed for hobbyists and DIY enthusiasts, the MVP includes 5 - 8 essential hardware modules: wheeled bases, motors, servos, LiDAR, sensors, and an integrated starter brick for power and control. With a user friendly onboarding wizard, real time 3D visualization, and automatic component alignment, building a robot has never been easier. No coding or CAD required. Once your design is ready, export it as a URDF file or a parts list for quick prototyping, simulation, or assembly. Early access to the 3D Builder will be available through our Dapp shortly.
0:45

Introducing the Robora 3D Builder by our Co-Founder, Guang Cheng: a web based, drag and drop interface for rapid robotics prototyping. Designed for hobbyists and DIY enthusiasts, the MVP includes 5 - 8 essential hardware modules: wheeled bases, motors, servos, LiDAR, sensors, and an integrated starter brick for power and control. With a user friendly onboarding wizard, real time 3D visualization, and automatic component alignment, building a robot has never been easier. No coding or CAD required. Once your design is ready, export it as a URDF file or a parts list for quick prototyping, simulation, or assembly. Early access to the 3D Builder will be available through our Dapp shortly.

Robora

40,647 görüntüleme • 11 ay önce

The robot is learning several novel tasks instantly, after just ONE demonstration each... Instant Policy makes it possible: no extra training, no weight updates, just pure in-context learning. It just got accepted at ICLR 2025, and it’s changing how robots learn. With just a single demo, a robot can pick up a new task and start performing it right away. Why this is a big deal: ✅ Learns tasks instantly with just one or a few demonstrations ✅ Improves over time as more demonstrations are given ✅ Uses simulation-based training with “pseudo-demonstrations” for scalability ✅ Can transfer skills across different robots and even follow language-defined tasks It brings in-context learning to robotics, opening up new possibilities for flexible, real-world automation. You can try it yourself: code and weights are available at • • • • Thank you to Edward Johns, Director of the Robot Learning Lab at Imperial College for sharing their work! 🙏
0:50

The robot is learning several novel tasks instantly, after just ONE demonstration each... Instant Policy makes it possible: no extra training, no weight updates, just pure in-context learning. It just got accepted at ICLR 2025, and it’s changing how robots learn. With just a single demo, a robot can pick up a new task and start performing it right away. Why this is a big deal: ✅ Learns tasks instantly with just one or a few demonstrations ✅ Improves over time as more demonstrations are given ✅ Uses simulation-based training with “pseudo-demonstrations” for scalability ✅ Can transfer skills across different robots and even follow language-defined tasks It brings in-context learning to robotics, opening up new possibilities for flexible, real-world automation. You can try it yourself: code and weights are available at • • • • Thank you to Edward Johns, Director of the Robot Learning Lab at Imperial College for sharing their work! 🙏

Ilir Aliu

46,285 görüntüleme • 1 yıl önce

no money for grok or midjourney? this tool is for you. there's a FREE tool created by an anon dev. open-source. runs locally. 117k stars on github. it generates: > images & video > 3d models > audio > 20+ models here's how to set it up in under 5 minutes: 1️⃣download ComfyUI Desktop go to and grab the desktop app for your system. windows 10+, mac (apple silicon), or linux. it installs like any normal app, it sets up python and every dependency for you in the background. no terminal, no config files. 2️⃣open it first launch, it spins up its own environment automatically. you just wait a few seconds and you're in. you'll land on a node canvas, that's the whole interface. 3️⃣load a starter workflow top menu → Workflow → Browse Templates → Image Generation. click it. this drops a ready-made setup onto your canvas so you don't build anything from scratch. 4️⃣grab a model comfyui ships empty on purpose, the model is the brain, and you pick it. in the template, the "Load Checkpoint" node has a Download button when no model is installed. click it. it pulls one in for you (a few GB, this is the only real wait). 5️⃣install ComfyUI Manager this is the one add-on you don't skip. it lets you install models, custom nodes, and updates with a click instead of the command line. grab it from github (link in comments). it's the difference between fighting comfyui and flying in it. one honest note: an NVIDIA gpu makes this fast, apple silicon works great too, and a weak machine still runs it just slower. that's the whole setup. you now own an image, video, and 3D studio that costs you nothing per month. save this. and the next time grok or midjourney asks for your card. you won't need it. disclaimer: comfyui itself is 100% free. so are the local models (sdxl, flux, wan 2.2, ltx-2). some premium models like seedance are pay-per-use api models, only if you want top-tier quality. the free local ones cover most of what you need. (github link in the comments) follow and turn on post notification for daily AI contents.
1:13

no money for grok or midjourney? this tool is for you. there's a FREE tool created by an anon dev. open-source. runs locally. 117k stars on github. it generates: > images & video > 3d models > audio > 20+ models here's how to set it up in under 5 minutes: 1️⃣download ComfyUI Desktop go to and grab the desktop app for your system. windows 10+, mac (apple silicon), or linux. it installs like any normal app, it sets up python and every dependency for you in the background. no terminal, no config files. 2️⃣open it first launch, it spins up its own environment automatically. you just wait a few seconds and you're in. you'll land on a node canvas, that's the whole interface. 3️⃣load a starter workflow top menu → Workflow → Browse Templates → Image Generation. click it. this drops a ready-made setup onto your canvas so you don't build anything from scratch. 4️⃣grab a model comfyui ships empty on purpose, the model is the brain, and you pick it. in the template, the "Load Checkpoint" node has a Download button when no model is installed. click it. it pulls one in for you (a few GB, this is the only real wait). 5️⃣install ComfyUI Manager this is the one add-on you don't skip. it lets you install models, custom nodes, and updates with a click instead of the command line. grab it from github (link in comments). it's the difference between fighting comfyui and flying in it. one honest note: an NVIDIA gpu makes this fast, apple silicon works great too, and a weak machine still runs it just slower. that's the whole setup. you now own an image, video, and 3D studio that costs you nothing per month. save this. and the next time grok or midjourney asks for your card. you won't need it. disclaimer: comfyui itself is 100% free. so are the local models (sdxl, flux, wan 2.2, ltx-2). some premium models like seedance are pay-per-use api models, only if you want top-tier quality. the free local ones cover most of what you need. (github link in the comments) follow and turn on post notification for daily AI contents.

m0h

14,542 görüntüleme • 2 ay önce

I just used an AI tool that built a full website, backend database, and even offered a mobile app version - all in under 60 seconds. No coding. No plugins. No tech hassle. Meet EasySite - the AI website builder that feels like magic: ✅ 1-click website generation (95% success rate) ✅ Built-in database (PostgreSQL, MySQL, Supabase, etc.) ✅ Turn your site into a mobile app with 1 click ✅ Fully editable with a WYSIWYG + AI editor ✅ Instant lead-gen chat widget, analytics & WordPress deploy It’s perfect for founders, marketers, agencies & devs who want to build fast and focus on growth - not setup. I was genuinely surprised by how much it did without me lifting a finger. Try it out here → #nocode #websitebuilder #EasySiteAI #webtools #indiehacker
0:38

I just used an AI tool that built a full website, backend database, and even offered a mobile app version - all in under 60 seconds. No coding. No plugins. No tech hassle. Meet EasySite - the AI website builder that feels like magic: ✅ 1-click website generation (95% success rate) ✅ Built-in database (PostgreSQL, MySQL, Supabase, etc.) ✅ Turn your site into a mobile app with 1 click ✅ Fully editable with a WYSIWYG + AI editor ✅ Instant lead-gen chat widget, analytics & WordPress deploy It’s perfect for founders, marketers, agencies & devs who want to build fast and focus on growth - not setup. I was genuinely surprised by how much it did without me lifting a finger. Try it out here → #nocode #websitebuilder #EasySiteAI #webtools #indiehacker

Chidanand Tripathi

205,439 görüntüleme • 1 yıl önce

Everyone’s quietly switching to this… and nobody’s talking about it properly yet. Someone built a 25MB Rust desktop app that packs 7 dev tools in one window. No setup drama. No heavy installs. No waiting. Just open it → and everything is already there. It’s called Clauge (open-source, cross-platform). And the insane part? It has a sub-second cold start. While we’re used to: • Electron apps eating RAM • 10-second startup delays • 5 different tools for 5 simple tasks People are now literally moving to a single lightweight window that does it all. And once you try it, the weird feeling is: “Why was this ever heavy in the first place?” Because clearly, the future dev stack isn’t getting bigger… it’s getting smaller, faster, and tighter.
2:52

Everyone’s quietly switching to this… and nobody’s talking about it properly yet. Someone built a 25MB Rust desktop app that packs 7 dev tools in one window. No setup drama. No heavy installs. No waiting. Just open it → and everything is already there. It’s called Clauge (open-source, cross-platform). And the insane part? It has a sub-second cold start. While we’re used to: • Electron apps eating RAM • 10-second startup delays • 5 different tools for 5 simple tasks People are now literally moving to a single lightweight window that does it all. And once you try it, the weird feeling is: “Why was this ever heavy in the first place?” Because clearly, the future dev stack isn’t getting bigger… it’s getting smaller, faster, and tighter.

divyansh tiwari

30,408 görüntüleme • 2 ay önce

I built a fully functional app in minutes — without writing a single line of code. With Replit, I just described what I wanted in plain English, and the app came to life almost instantly. My AI tool now takes care of: ✅ Data handling ✅ AI-powered logic ✅ Clean, usable UI Start building here: And it’s not limited to content tools. With a single prompt, you can spin up things like a unit converter with inputs, selectors, instant results, copy actions, and history — fully working in minutes. Why I’m a fan of Replit: 🚀 Build by describing, then iterate fast. 🚀 300+ AI models in one place. 🚀 Build, collaborate, and ship from one platform. 🚀 Integrates with Drive, Dropbox, Notion, Slack 🚀 Works seamlessly on desktop and mobile No setup. No code. Just ideas → real apps.
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I built a fully functional app in minutes — without writing a single line of code. With Replit, I just described what I wanted in plain English, and the app came to life almost instantly. My AI tool now takes care of: ✅ Data handling ✅ AI-powered logic ✅ Clean, usable UI Start building here: And it’s not limited to content tools. With a single prompt, you can spin up things like a unit converter with inputs, selectors, instant results, copy actions, and history — fully working in minutes. Why I’m a fan of Replit: 🚀 Build by describing, then iterate fast. 🚀 300+ AI models in one place. 🚀 Build, collaborate, and ship from one platform. 🚀 Integrates with Drive, Dropbox, Notion, Slack 🚀 Works seamlessly on desktop and mobile No setup. No code. Just ideas → real apps.

Ajay Sharma

62,646 görüntüleme • 8 ay önce

I am very excited to release GeoLibre v1.0 🌍 GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. In this video, I walk through GeoLibre 1.0 step by step: how to install and run it, load vector and raster data, stream gigabyte-scale cloud-native datasets without downloading them, edit attributes and geometry, work with PMTiles, 3D tiles, LiDAR point clouds, and DuckDB, and share your projects as static links. GeoLibre is built on MapLibre GL JS, React + TypeScript, Tauri (Rust), DuckDB, and Try it: GitHub: Full video tutorial: If you have feature requests or run into bugs, leave a comment or open an issue on GitHub. And if you find GeoLibre useful, please give it a star. #GIS #OpenSource #Geospatial #MapLibre #Python #DataVisualization #GeoLibre
1:49

I am very excited to release GeoLibre v1.0 🌍 GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. In this video, I walk through GeoLibre 1.0 step by step: how to install and run it, load vector and raster data, stream gigabyte-scale cloud-native datasets without downloading them, edit attributes and geometry, work with PMTiles, 3D tiles, LiDAR point clouds, and DuckDB, and share your projects as static links. GeoLibre is built on MapLibre GL JS, React + TypeScript, Tauri (Rust), DuckDB, and Try it: GitHub: Full video tutorial: If you have feature requests or run into bugs, leave a comment or open an issue on GitHub. And if you find GeoLibre useful, please give it a star. #GIS #OpenSource #Geospatial #MapLibre #Python #DataVisualization #GeoLibre

Qiusheng Wu

39,504 görüntüleme • 2 ay önce

🚨Architects are going to hate this. Someone just open sourced a full 3D building editor that runs entirely in your browser. No AutoCAD. No Revit. No $5,000/year licenses. It's called Pascal Editor. Built with React Three Fiber and WebGPU -- meaning it renders directly on your GPU at near-native speed. Here's what's inside this thing: → A full building/level/wall/zone hierarchy you can edit in real time → An ECS-style architecture where every object updates through GPU-powered systems → Zustand state management with full undo/redo built in → Next.js frontend so it deploys as a web app, not a desktop install → Dirty node tracking -- only re-renders what changed, not the whole scene Here's the wildest part: You can stack, explode, or solo individual building levels. Select a zone, drag a wall, reshape a slab -- all in 3D, all in the browser. Architecture firms pay $50K+ per seat for BIM software that does this workflow. This is free. 100% Open Source.
1:38

🚨Architects are going to hate this. Someone just open sourced a full 3D building editor that runs entirely in your browser. No AutoCAD. No Revit. No $5,000/year licenses. It's called Pascal Editor. Built with React Three Fiber and WebGPU -- meaning it renders directly on your GPU at near-native speed. Here's what's inside this thing: → A full building/level/wall/zone hierarchy you can edit in real time → An ECS-style architecture where every object updates through GPU-powered systems → Zustand state management with full undo/redo built in → Next.js frontend so it deploys as a web app, not a desktop install → Dirty node tracking -- only re-renders what changed, not the whole scene Here's the wildest part: You can stack, explode, or solo individual building levels. Select a zone, drag a wall, reshape a slab -- all in 3D, all in the browser. Architecture firms pay $50K+ per seat for BIM software that does this workflow. This is free. 100% Open Source.

Guri Singh

2,967,409 görüntüleme • 5 ay önce

Introducing Lobstack: Simplifying AI Deployment and Management For the past month, I’ve been building something I kept running into myself. Everone knows by now that OpenClaw is powerful. BUT, deploying it shouldn’t require DevOps. Lobstack provisions a dedicated server for you and installs OpenClaw automatically — one click, and your agent is live within minutes. No Docker setup. No terminal. No infrastructure babysitting. Not one line of code. You can choose your dedicated server location, select your LLM (our universal API or your own API), and interact with your agent through the custom web UI or Telegram. Discord, Slack, and more coming. Under the hood, it’s persistent, guarded, and capped — built to run 24/7 like real software. We’re also building a skill + API marketplace and exploring desktop and mobile apps to make agent communication seamless. It’s early. I’d genuinely value feedback from builders, operators, and anyone thinking about autonomous AI infrastructure. Or even any business owner that wants to implement AI into their operations. Try it out: Follow Lobstack for updates. Thanks OpenClaw🦞 community and Peter Steinberger 🦞
3:53

Introducing Lobstack: Simplifying AI Deployment and Management For the past month, I’ve been building something I kept running into myself. Everone knows by now that OpenClaw is powerful. BUT, deploying it shouldn’t require DevOps. Lobstack provisions a dedicated server for you and installs OpenClaw automatically — one click, and your agent is live within minutes. No Docker setup. No terminal. No infrastructure babysitting. Not one line of code. You can choose your dedicated server location, select your LLM (our universal API or your own API), and interact with your agent through the custom web UI or Telegram. Discord, Slack, and more coming. Under the hood, it’s persistent, guarded, and capped — built to run 24/7 like real software. We’re also building a skill + API marketplace and exploring desktop and mobile apps to make agent communication seamless. It’s early. I’d genuinely value feedback from builders, operators, and anyone thinking about autonomous AI infrastructure. Or even any business owner that wants to implement AI into their operations. Try it out: Follow Lobstack for updates. Thanks OpenClaw🦞 community and Peter Steinberger 🦞

Brandon M. Crenshaw

128,003 görüntüleme • 6 ay önce

I built an open-source tool to fix something that drives me nuts. You ask ChatGPT or Gemini for a game asset and get an image with a background baked in. Ask for transparency and you get... a fake checkerboard. Then you hunt for a background remover, then slice each sprite out by hand. So I built Sprite Lab. Drop a spritesheet → it auto-detects the backdrop (checkerboard, white, magenta, green), removes it cleanly with no halo, and slices every frame for you. Export as PNGs + a strip + manifest. 100% in your browser. No uploads, no AI model, no sign-up. Free and open source. #gamedev #indiegame
0:41

I built an open-source tool to fix something that drives me nuts. You ask ChatGPT or Gemini for a game asset and get an image with a background baked in. Ask for transparency and you get... a fake checkerboard. Then you hunt for a background remover, then slice each sprite out by hand. So I built Sprite Lab. Drop a spritesheet → it auto-detects the backdrop (checkerboard, white, magenta, green), removes it cleanly with no halo, and slices every frame for you. Export as PNGs + a strip + manifest. 100% in your browser. No uploads, no AI model, no sign-up. Free and open source. #gamedev #indiegame

Ibrahim Boona

19,969 görüntüleme • 2 ay önce

What If Your Desk Robot Could Learn Your Moves? Meet Quaddle, a tiny open-source quadruped built for tinkering. It has just 4 servos, but can run, glide sideways and spin in place. You can program it with Block coding, Python or C++. You can physically guide it through a movement, tap to record, and it can learn and replay the trick. There is also AI conversation, touch interaction, sensors and 3D-printable parts. A fun way to get hands-on with robotics, coding, AI and mechanical design.
2:12

What If Your Desk Robot Could Learn Your Moves? Meet Quaddle, a tiny open-source quadruped built for tinkering. It has just 4 servos, but can run, glide sideways and spin in place. You can program it with Block coding, Python or C++. You can physically guide it through a movement, tap to record, and it can learn and replay the trick. There is also AI conversation, touch interaction, sensors and 3D-printable parts. A fun way to get hands-on with robotics, coding, AI and mechanical design.

Praveen Kumar Verma

14,739 görüntüleme • 9 gün önce