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We're open-sourcing Asimov Legs, a bipedal robotic system. It's a complete leg design with 6 DOF per leg, RSU ankle architecture, passive toe joints. Built with off-the-shelf components and compatible with MJF 3D printing. What we're open-sourcing & sharing: - Full mechanical CAD (STEP files) - Actuators list -... show more

Asimov

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23,824 views • 7 months ago •via X (Twitter)

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We're open-sourcing "The Amazing Hand", an eight-degree of freedom humanoid robot hand compatible with Sarah’s Vintage that can be 3-D printed at home for less than $250 ✌️✌️✌️ Given the success of Reachy Mini (2,000+ robots sold in a few days), we won't have the bandwidth to manufacture this one ourselves but we release the bill of materials, the CAD files and assembly guides for everyone to build or sell their own, let's go open-source AI robotics!

We're open-sourcing "The Amazing Hand", an eight-degree of freedom humanoid robot hand compatible with Sarah’s Vintage that can be 3-D printed at home for less than $250 ✌️✌️✌️ Given the success of Reachy Mini (2,000+ robots sold in a few days), we won't have the bandwidth to manufacture this one ourselves but we release the bill of materials, the CAD files and assembly guides for everyone to build or sell their own, let's go open-source AI robotics!

clem 🤗

210,178 views • 1 year ago

the so101 + leslider frame i've been playing with the past few weeks wasn't just a random rig i built for fun it's what we at LiveKit built to benchmark and debug our infra (s/o livekit-portal), and today we're open-sourcing it so everyone can reproduce and share coolio results at home here is the github: i know this isn’t the first frame designed for evals, but it’s ours, and it’s open, and it’s with a LeSlider! along with this, we’ve released simulations files (URDF, MJCF, and USD), as well as a sample RL env in MJLab for pick-and-place tasks we want people to have fun, being close to the frontier as much as possible, and we want people to know it shouldn’t take thousands of dollars in equipment to reproduce some of the most amazing results the academic world has to offer personally, I’m going to deploy sim2real and real2sim2real pipelines on this soon, for fun, so look out for that.

the so101 + leslider frame i've been playing with the past few weeks wasn't just a random rig i built for fun it's what we at LiveKit built to benchmark and debug our infra (s/o livekit-portal), and today we're open-sourcing it so everyone can reproduce and share coolio results at home here is the github: i know this isn’t the first frame designed for evals, but it’s ours, and it’s open, and it’s with a LeSlider! along with this, we’ve released simulations files (URDF, MJCF, and USD), as well as a sample RL env in MJLab for pick-and-place tasks we want people to have fun, being close to the frontier as much as possible, and we want people to know it shouldn’t take thousands of dollars in equipment to reproduce some of the most amazing results the academic world has to offer personally, I’m going to deploy sim2real and real2sim2real pipelines on this soon, for fun, so look out for that.

Binh

18,257 views • 1 month ago

Super excited to announce react-native-godot: A seamless integration of the Godot Engine with React Native for iOS and Android! Now you can create games with native UI components, giving them a polished, platform-native feel. Plus, you'll have full access to the engine and all GDScript functions directly within React Native, fully typed for an enhanced development experience. Since it's a standalone library, simply import a .pck file, and you're good to go. Open-sourcing in the coming weeks!

Super excited to announce react-native-godot: A seamless integration of the Godot Engine with React Native for iOS and Android! Now you can create games with native UI components, giving them a polished, platform-native feel. Plus, you'll have full access to the engine and all GDScript functions directly within React Native, fully typed for an enhanced development experience. Since it's a standalone library, simply import a .pck file, and you're good to go. Open-sourcing in the coming weeks!

Jannis Ringwald

59,100 views • 1 year ago

Do you know what your OpenClaw agents are actually doing? If not, bookmark this. Here is a complete 3D neural command center for monitoring agents, nodes, logs, and live activity in real time you can build yourself with this prompt. FULL PROMPT: I’ll upload a GitHub soon with the working files for all the projects I’ve shared so far. Notis on.

Do you know what your OpenClaw agents are actually doing? If not, bookmark this. Here is a complete 3D neural command center for monitoring agents, nodes, logs, and live activity in real time you can build yourself with this prompt. FULL PROMPT: I’ll upload a GitHub soon with the working files for all the projects I’ve shared so far. Notis on.

Jayden ⛩️

51,697 views • 5 months ago

CCleaner used to be the default way to keep a Windows machine fast. Then it got bought, stuffed with ads and bundled crapware, and in 2017 one release was compromised and shipped malware to over 2 million people. Millions still install it every month because nothing else has really replaced it. So, a team called AdventDev just built a free, open-source replacement. It's called Kudu. Open the app and you get one dashboard for the whole machine. > System cleaner for temp files, logs, caches, and crash dumps. > Browser cleaner across every major browser. > Gaming cleaner for launcher and shader caches. > Registry cleaner for broken and orphaned entries. > Startup manager that shows the actual boot impact of each program. > Disk analyzer with an interactive treemap, so you can see where 40GB quietly disappeared to. > Debloater that rips Windows bloatware out. > Program uninstaller that also removes the leftovers other uninstallers leave behind. Then it does the parts CCleaner never did. A malware scanner with signature matching, heuristic analysis, and Windows Defender integration. A privacy shield that lets you flip 30+ Windows privacy settings from one screen: telemetry, ad ID, Cortana, tracking. Secure delete that overwrites files with random data before removing them, so nothing can recover them later. There's a real-time performance monitor with per-core CPU, memory, disk, network, and S.M.A.R.T. drive health. A one-click restore point before every clean, so you can roll back. Scheduled scans. A CLI mode for people who don't want a GUI. Support for 30 languages. Native app for Windows, macOS, and Linux. Intel and Apple Silicon builds. No ads, no upsells, no telemetry, no account. The cleaning rules are plain JSON files, so if your favorite app isn't covered yet, you can add support for it without writing a line of code. MIT license. 100% Open Source. Repo:

CCleaner used to be the default way to keep a Windows machine fast. Then it got bought, stuffed with ads and bundled crapware, and in 2017 one release was compromised and shipped malware to over 2 million people. Millions still install it every month because nothing else has really replaced it. So, a team called AdventDev just built a free, open-source replacement. It's called Kudu. Open the app and you get one dashboard for the whole machine. > System cleaner for temp files, logs, caches, and crash dumps. > Browser cleaner across every major browser. > Gaming cleaner for launcher and shader caches. > Registry cleaner for broken and orphaned entries. > Startup manager that shows the actual boot impact of each program. > Disk analyzer with an interactive treemap, so you can see where 40GB quietly disappeared to. > Debloater that rips Windows bloatware out. > Program uninstaller that also removes the leftovers other uninstallers leave behind. Then it does the parts CCleaner never did. A malware scanner with signature matching, heuristic analysis, and Windows Defender integration. A privacy shield that lets you flip 30+ Windows privacy settings from one screen: telemetry, ad ID, Cortana, tracking. Secure delete that overwrites files with random data before removing them, so nothing can recover them later. There's a real-time performance monitor with per-core CPU, memory, disk, network, and S.M.A.R.T. drive health. A one-click restore point before every clean, so you can roll back. Scheduled scans. A CLI mode for people who don't want a GUI. Support for 30 languages. Native app for Windows, macOS, and Linux. Intel and Apple Silicon builds. No ads, no upsells, no telemetry, no account. The cleaning rules are plain JSON files, so if your favorite app isn't covered yet, you can add support for it without writing a line of code. MIT license. 100% Open Source. Repo:

Brady Long

149,417 views • 1 month ago

🧃 Introducing stereOS: a Linux based operating system hardened and purpose built for AI agents. It's clear that agents need an ACTUAL operating system (not what people are calling an "OS") to witness the full breadth and depth of their capabilities while mitigating the blast radius of autonomous, untrusted actors. But there are so many problems with AI sandboxes today: * Going out to the apple store and buying a mac mini will never scale and is way too expensive (obviously) * Running in Docker is too restrictive (agents can't stand up their own container infrastructure, no sub virtualization, docker-in-docker is very broken) * Firecracker strips all the hardware so GPU PCIe passthrough, secure boot, FIPs, etc. is out of the question. * Native VMs are too fat and the overhead of 1 agent per VM is too much. stereOS takes a different approach: it's a full NixOS system that you boot and then kick off agent sandboxes inside with gVisor + /nix/store namespace mounting. Each agent gets their own kernel and the /nix/store is read only by nature. Even if the agent was somehow able to escape the gVisor virtual kernel, they'd land on the NixOS system as the "agent" user! Not your actual hardware!! If you want to take a defense-in-depth approach, we support "native" agents that run at the system level kicked off by our `agentd` utility. These agents, on their own, can manage and kick off other sub agents using the internal sandboxing mechanisms. Today, we're open sourcing all of this: * stereOS: our purpose built Linux OS - * masterblaster: client utility to launch, manage, and orchestrate agents - * stereosd: the stereOS system control plane daemon - * agentd: the stereOS system agent management daemon - Give it a try, throw us a star, and let me know what you think 🧃⭐️

🧃 Introducing stereOS: a Linux based operating system hardened and purpose built for AI agents. It's clear that agents need an ACTUAL operating system (not what people are calling an "OS") to witness the full breadth and depth of their capabilities while mitigating the blast radius of autonomous, untrusted actors. But there are so many problems with AI sandboxes today: * Going out to the apple store and buying a mac mini will never scale and is way too expensive (obviously) * Running in Docker is too restrictive (agents can't stand up their own container infrastructure, no sub virtualization, docker-in-docker is very broken) * Firecracker strips all the hardware so GPU PCIe passthrough, secure boot, FIPs, etc. is out of the question. * Native VMs are too fat and the overhead of 1 agent per VM is too much. stereOS takes a different approach: it's a full NixOS system that you boot and then kick off agent sandboxes inside with gVisor + /nix/store namespace mounting. Each agent gets their own kernel and the /nix/store is read only by nature. Even if the agent was somehow able to escape the gVisor virtual kernel, they'd land on the NixOS system as the "agent" user! Not your actual hardware!! If you want to take a defense-in-depth approach, we support "native" agents that run at the system level kicked off by our `agentd` utility. These agents, on their own, can manage and kick off other sub agents using the internal sandboxing mechanisms. Today, we're open sourcing all of this: * stereOS: our purpose built Linux OS - * masterblaster: client utility to launch, manage, and orchestrate agents - * stereosd: the stereOS system control plane daemon - * agentd: the stereOS system agent management daemon - Give it a try, throw us a star, and let me know what you think 🧃⭐️

John McBride

150,742 views • 6 months ago

Claude Design + Shopify is f*cking ridiculous 🤯 You can now publish pages from Claude Design → Claude Code → Shopify. Built 100% with Claude Design, Claude Code, and the Shopify CLI. Perfect for DTC brands and agencies who want to skip the design → dev handoff entirely. Here's how it works: → Design any landing page in Claude Design → Export as a zip and drop it into Claude Code → Install the Shopify + Shopify AI Toolkit plugins → Prompt Claude to convert the HTML into a Shopify page template + push to live theme → Claude uploads the images, deploys the files, and creates a published page No more handing designs off to a dev and waiting 2 weeks for a Shopify page. What you get: - A workflow that turns any Claude Design page into a real Shopify page template - Editable sections so your marketing team can swap copy, images, and CTAs without code - Images uploaded straight to Shopify Files automatically - A files-only deploy that only touches what's new in your live theme - A repeatable pipeline you can use every time you design a new landing page This is essentially the design-to-deploy pipeline brands have been waiting for. I put together a step-by-step playbook for going from Claude Design → published Shopify page. Every install, every plugin, every command, and the exact prompt that runs the whole thing. Want the playbook for free? > Like this post > Comment "SHOP" And I'll send it over (must be following so I can DM)

Claude Design + Shopify is f*cking ridiculous 🤯 You can now publish pages from Claude Design → Claude Code → Shopify. Built 100% with Claude Design, Claude Code, and the Shopify CLI. Perfect for DTC brands and agencies who want to skip the design → dev handoff entirely. Here's how it works: → Design any landing page in Claude Design → Export as a zip and drop it into Claude Code → Install the Shopify + Shopify AI Toolkit plugins → Prompt Claude to convert the HTML into a Shopify page template + push to live theme → Claude uploads the images, deploys the files, and creates a published page No more handing designs off to a dev and waiting 2 weeks for a Shopify page. What you get: - A workflow that turns any Claude Design page into a real Shopify page template - Editable sections so your marketing team can swap copy, images, and CTAs without code - Images uploaded straight to Shopify Files automatically - A files-only deploy that only touches what's new in your live theme - A repeatable pipeline you can use every time you design a new landing page This is essentially the design-to-deploy pipeline brands have been waiting for. I put together a step-by-step playbook for going from Claude Design → published Shopify page. Every install, every plugin, every command, and the exact prompt that runs the whole thing. Want the playbook for free? > Like this post > Comment "SHOP" And I'll send it over (must be following so I can DM)

Mike Futia

58,398 views • 3 months ago

this guy 3D printed and vibe coded a tiny Claude robot for his desk it's called "Clawd Mochi." runs on an ESP32 chip with a tiny display that shows animated expressions. > hosts its own WiFi hotspot. zero cloud and zero internet required. fully offline > live-switch between animated faces, a terminal emulator, and a drawing canvas from your browser > total cost: under $8 > takes less than an hour to build 3D print files AND the full build are both open source too this is the greatest thing anyone has built with vibe coding

this guy 3D printed and vibe coded a tiny Claude robot for his desk it's called "Clawd Mochi." runs on an ESP32 chip with a tiny display that shows animated expressions. > hosts its own WiFi hotspot. zero cloud and zero internet required. fully offline > live-switch between animated faces, a terminal emulator, and a drawing canvas from your browser > total cost: under $8 > takes less than an hour to build 3D print files AND the full build are both open source too this is the greatest thing anyone has built with vibe coding

Om Patel

154,591 views • 5 months ago

We built an interactive 3D module to teach kids about what temperature does to water. - You adjust the temperature in real time - You see the impact on the state of water and what's changing at a molecular level - You can unlock two secret states in there if you pass a quick quizz This is the first of a giant series. We're turning the open source Marble App curriculum into a full bank of these interactive lessons. One for each topic kids learn in primary school. If you are a parent or primary school teacher, let us know in comments which module you want to see next. Link to play with the water lab below 👇

We built an interactive 3D module to teach kids about what temperature does to water. - You adjust the temperature in real time - You see the impact on the state of water and what's changing at a molecular level - You can unlock two secret states in there if you pass a quick quizz This is the first of a giant series. We're turning the open source Marble App curriculum into a full bank of these interactive lessons. One for each topic kids learn in primary school. If you are a parent or primary school teacher, let us know in comments which module you want to see next. Link to play with the water lab below 👇

Lionel Mora

118,272 views • 1 month ago

I’ve been craving a video editor with motion baked in, designed to work with my own AI agents. Claude, Codex, whatever I want to use. I don’t want to be blocked by someone else’s credit system for every little interaction. I also wanted a Figma-like canvas/editor for when I want to jump in and tweak any little detail. So we built it: Video & audio editing: cut, zoom, speed up, add B-roll. Motion, animation, 3D, custom shaders & effects, custom 3D models, dynamic components & templates, audio and beat matching. And it’s all programmable. Design your own assets directly on the canvas, bring them in from Figma or the web, or just let the agent find them, mock them up, or record what it needs automatically. You can even drop in your screen recordings and just let loose. ツSupercut users: yes, it’ll have first-class support for your recordings, but it’ll work with anything. I’m going to be dropping a lot more examples and tutorials, so follow along. DM me for early access if you’re willing to give feedback. We’ll open it up to everyone very soon.

I’ve been craving a video editor with motion baked in, designed to work with my own AI agents. Claude, Codex, whatever I want to use. I don’t want to be blocked by someone else’s credit system for every little interaction. I also wanted a Figma-like canvas/editor for when I want to jump in and tweak any little detail. So we built it: Video & audio editing: cut, zoom, speed up, add B-roll. Motion, animation, 3D, custom shaders & effects, custom 3D models, dynamic components & templates, audio and beat matching. And it’s all programmable. Design your own assets directly on the canvas, bring them in from Figma or the web, or just let the agent find them, mock them up, or record what it needs automatically. You can even drop in your screen recordings and just let loose. ツSupercut users: yes, it’ll have first-class support for your recordings, but it’ll work with anything. I’m going to be dropping a lot more examples and tutorials, so follow along. DM me for early access if you’re willing to give feedback. We’ll open it up to everyone very soon.

Neil

22,715 views • 15 days ago

I had to watch this twice before I remembered it was AI. It looks like a real creator sharing how a fitness app helped him stay consistent, track his workouts, and actually see his progress. But none of it was filmed. The person, the voice, and the entire video were generated with InVideo AI. We're reaching a point where AI-generated UGC is nearly indistinguishable from traditional creator content, and it's only getting better. For brands, that means creating authentic-looking testimonial videos in minutes instead of spending days sourcing creators, filming, and editing. If I hadn't told you it was AI, would you have guessed? Comment "Send" and I'll DM you the complete workflow. (Must be following to receive the DM.)

I had to watch this twice before I remembered it was AI. It looks like a real creator sharing how a fitness app helped him stay consistent, track his workouts, and actually see his progress. But none of it was filmed. The person, the voice, and the entire video were generated with InVideo AI. We're reaching a point where AI-generated UGC is nearly indistinguishable from traditional creator content, and it's only getting better. For brands, that means creating authentic-looking testimonial videos in minutes instead of spending days sourcing creators, filming, and editing. If I hadn't told you it was AI, would you have guessed? Comment "Send" and I'll DM you the complete workflow. (Must be following to receive the DM.)

Oliver

24,831 views • 1 month ago

Burn Session #001 for $HUB is here! 🔥 🌟 Today marks a special day for $HUB - our first-ever token burn session! Each like, retweet, and comment on this thread will burn 1 $HUB token + 1 $HUB burned per follower. Let’s burn! 🔥 💪 A massive shoutout to our developers working tirelessly behind the scenes. Your dedication and hard work are the backbone of $HUB ’s success. Thank youfor turning visions into reality! 🙏 To our advisors, thank you for your wisdom and guidance. Your insights have been invaluable in navigating the complex world of blockchain and #DRC20. 🎉 Cheers to our 3,000+ Twitter followers! Your support fuels our journey, and we're thrilled to have you with us. 🤝 A big thank you to our incredible community. Your enthusiasm and kindness make $HUB more than just a token; it's a family. We're proud of what we're building together. 🐕 Shoutout to $DOGI, the pioneer and standard-bearer of #DRC20. Your trailblazing spirit inspires us all. 🙌 Thanks to $DCEX for believing in us from day one and for your support in incubating our project. Your faith in us is a driving force. 👏 Kudos to for their fantastic marketplace and commitment to promoting #DRC20. Your efforts are shaping the future of decentralized trading. 🏗️ To all the builders of #DRC20, we're here to support your growth and help unleash the full potential of DRC20. Let's build a stronger ecosystem together. 🤝 A heartfelt thanks to the CEXs like AscendeX and Gate for trusting us and working towards integrating #DRC20. Your collaboration is key to our mutual success. And we don’t forget the ones currently implementing #DRC20, we’re here to help if needed ! 💚 Finally, to everyone who's given us strength and support - we're doing this for you, for $HUB, and for the #DRC20. Our story is just beginning, and the best is yet to come. Now, let’s burn 🔥. One comment, one $HUB burned. One repost, one $HUB burned. One like, one $HUB burned. Oh, and one $HUB burned/follower.

Burn Session #001 for $HUB is here! 🔥 🌟 Today marks a special day for $HUB - our first-ever token burn session! Each like, retweet, and comment on this thread will burn 1 $HUB token + 1 $HUB burned per follower. Let’s burn! 🔥 💪 A massive shoutout to our developers working tirelessly behind the scenes. Your dedication and hard work are the backbone of $HUB ’s success. Thank youfor turning visions into reality! 🙏 To our advisors, thank you for your wisdom and guidance. Your insights have been invaluable in navigating the complex world of blockchain and #DRC20. 🎉 Cheers to our 3,000+ Twitter followers! Your support fuels our journey, and we're thrilled to have you with us. 🤝 A big thank you to our incredible community. Your enthusiasm and kindness make $HUB more than just a token; it's a family. We're proud of what we're building together. 🐕 Shoutout to $DOGI, the pioneer and standard-bearer of #DRC20. Your trailblazing spirit inspires us all. 🙌 Thanks to $DCEX for believing in us from day one and for your support in incubating our project. Your faith in us is a driving force. 👏 Kudos to for their fantastic marketplace and commitment to promoting #DRC20. Your efforts are shaping the future of decentralized trading. 🏗️ To all the builders of #DRC20, we're here to support your growth and help unleash the full potential of DRC20. Let's build a stronger ecosystem together. 🤝 A heartfelt thanks to the CEXs like AscendeX and Gate for trusting us and working towards integrating #DRC20. Your collaboration is key to our mutual success. And we don’t forget the ones currently implementing #DRC20, we’re here to help if needed ! 💚 Finally, to everyone who's given us strength and support - we're doing this for you, for $HUB, and for the #DRC20. Our story is just beginning, and the best is yet to come. Now, let’s burn 🔥. One comment, one $HUB burned. One repost, one $HUB burned. One like, one $HUB burned. Oh, and one $HUB burned/follower.

Doginals Hub

25,850 views • 2 years ago

If you want to understand how far AI-assisted game development has moved in less than a year, IsoCity is one of the best examples. The original version took roughly 40–50 hours with Cursor Composer + cloud agents. Its assets were AI-generated, while the game itself grew into a surprisingly deep city simulation with traffic, pedestrians, trains, planes, zoning, resource management, saving, and mobile support. Under the hood: → Next.js 16 → TypeScript → Native HTML5 Canvas rendering → No external game engine → Custom isometric renderer and simulation systems And the best part: the whole project is open source under MIT, so you can study it, fork it, modify it, or use parts of the architecture in your own experiments. The visual jump from that 2025 build to what agents are producing in 2026 is pretty ridiculous. Built by Andrew Milich and contributors. Repo:

If you want to understand how far AI-assisted game development has moved in less than a year, IsoCity is one of the best examples. The original version took roughly 40–50 hours with Cursor Composer + cloud agents. Its assets were AI-generated, while the game itself grew into a surprisingly deep city simulation with traffic, pedestrians, trains, planes, zoning, resource management, saving, and mobile support. Under the hood: → Next.js 16 → TypeScript → Native HTML5 Canvas rendering → No external game engine → Custom isometric renderer and simulation systems And the best part: the whole project is open source under MIT, so you can study it, fork it, modify it, or use parts of the architecture in your own experiments. The visual jump from that 2025 build to what agents are producing in 2026 is pretty ridiculous. Built by Andrew Milich and contributors. Repo:

Token Gremlin

28,231 views • 10 days ago

Today Terraport passes a huge milestone in its journey with the release of the full code audit by CertiK. 🔗 With 247 files audited, the publication of the audit represents a major achievement for us and marks the beginning of a growth phase for the platform in terms of functionality, security, and decentralization. Terraport's aim is to bring utility back to the TerraClassic network, and thanks to all its supporters and active community governance, it is now in a position to do so. With many new features being developed such as xchain stable swaps, token factory and launchpad and more, investors and builders have access to native functionality to open up the $LUNC / $USTC ecosystem. A big thank you to everyone who inspires us to continuously improve and expand Terraport's capabilities and continues to support us as we work with CertiK to increase its security.

Today Terraport passes a huge milestone in its journey with the release of the full code audit by CertiK. 🔗 With 247 files audited, the publication of the audit represents a major achievement for us and marks the beginning of a growth phase for the platform in terms of functionality, security, and decentralization. Terraport's aim is to bring utility back to the TerraClassic network, and thanks to all its supporters and active community governance, it is now in a position to do so. With many new features being developed such as xchain stable swaps, token factory and launchpad and more, investors and builders have access to native functionality to open up the $LUNC / $USTC ecosystem. A big thank you to everyone who inspires us to continuously improve and expand Terraport's capabilities and continues to support us as we work with CertiK to increase its security.

Terraport Finance

30,497 views • 2 years ago

The timeline isn't ready for this 🤯 Testing out Kling 2.6 motion control and the realism is the best I've seen. Perfect facial expressions in real-time... from Taylor to Ye instantly. we're entering a weird new era of content creation. (If you want a full video tutorial with all the prompts I used to build this comment "MOTION"👇 and I'll dm you the full doc) must be following so I can dm you

The timeline isn't ready for this 🤯 Testing out Kling 2.6 motion control and the realism is the best I've seen. Perfect facial expressions in real-time... from Taylor to Ye instantly. we're entering a weird new era of content creation. (If you want a full video tutorial with all the prompts I used to build this comment "MOTION"👇 and I'll dm you the full doc) must be following so I can dm you

David Roberts

89,352 views • 7 months ago

LEONARDO, also called LEO, was built by researchers at Caltech’s Center for Autonomous Systems and Technologies. Its full name means LEgs ONboARD drOne. The idea is simple but unusual: • Build a small biped robot • Give it drone-style thrust • Use the legs for ground contact • Use the propellers for balance and lift • Combine walking, hopping and flying in one system LEO is basically a hybrid between a walking robot and a flying drone. How it was built: • Two lightweight legs • Three actuated joints in each leg • Four propeller thrusters near the shoulders • A lightweight body • Leg motors for ground movement • Propellers for balance, lift and aerial control • Real-time control software that synchronizes the legs and propellers How it walks: • The legs move the robot forward • The feet touch the ground like a normal biped • The propellers constantly correct balance from above • The robot can stay upright even in unstable situations • The thrust reduces the risk of falling during difficult motions How it flies: • The legs stop being the main locomotion system • The four propellers generate lift • The robot behaves more like a drone • It can take off, fly over obstacles and land back on its legs What makes it different: • It does not walk like a normal humanoid • It does not fly like a normal drone • It blends both systems • The legs handle contact with the ground • The propellers act like fast stabilizers • The control system decides how much help comes from the legs and how much comes from thrust That is why LEO can: • Walk • Hop • Fly over obstacles • Ride a skateboard • Balance on a slackline The key idea is walking with aerial stabilization.

LEONARDO, also called LEO, was built by researchers at Caltech’s Center for Autonomous Systems and Technologies. Its full name means LEgs ONboARD drOne. The idea is simple but unusual: • Build a small biped robot • Give it drone-style thrust • Use the legs for ground contact • Use the propellers for balance and lift • Combine walking, hopping and flying in one system LEO is basically a hybrid between a walking robot and a flying drone. How it was built: • Two lightweight legs • Three actuated joints in each leg • Four propeller thrusters near the shoulders • A lightweight body • Leg motors for ground movement • Propellers for balance, lift and aerial control • Real-time control software that synchronizes the legs and propellers How it walks: • The legs move the robot forward • The feet touch the ground like a normal biped • The propellers constantly correct balance from above • The robot can stay upright even in unstable situations • The thrust reduces the risk of falling during difficult motions How it flies: • The legs stop being the main locomotion system • The four propellers generate lift • The robot behaves more like a drone • It can take off, fly over obstacles and land back on its legs What makes it different: • It does not walk like a normal humanoid • It does not fly like a normal drone • It blends both systems • The legs handle contact with the ground • The propellers act like fast stabilizers • The control system decides how much help comes from the legs and how much comes from thrust That is why LEO can: • Walk • Hop • Fly over obstacles • Ride a skateboard • Balance on a slackline The key idea is walking with aerial stabilization.

Techniahqrobot | humanoid robots

135,515 views • 1 month ago

He built a home for his family before he decided to spoil himself with a car, his first of many, God willing. A hassle free process from his dreams to doorstep - she was serviced, tinted and detailed thoroughly before being sent out to him. He's been over the moon since he received her a few days ago, it's been a pleasure working with someone like him. All this for 30 million naira BELOW market value here in Nigeria, a testament to what TrueSpec stands for, giving you true value for your money and putting customer satisfaction before profits — we're here and we're here to stay. Off to Delta State, Congrats on your new babe, Mr C. 😄🫱🏻‍🫲🏾

He built a home for his family before he decided to spoil himself with a car, his first of many, God willing. A hassle free process from his dreams to doorstep - she was serviced, tinted and detailed thoroughly before being sent out to him. He's been over the moon since he received her a few days ago, it's been a pleasure working with someone like him. All this for 30 million naira BELOW market value here in Nigeria, a testament to what TrueSpec stands for, giving you true value for your money and putting customer satisfaction before profits — we're here and we're here to stay. Off to Delta State, Congrats on your new babe, Mr C. 😄🫱🏻‍🫲🏾

🗣️ Mr NAC.

19,729 views • 3 months ago

What is the best video editing agent for short form social? Does it actually work? We watched professional video editors, step by step, as they built short-form social reels in Adobe Premiere Pro. Today we're open-sourcing this preview dataset on Hugging Face, to make AI agents better at editing videos. The data set is 234 annotated steps across 4 computer-use trajectories. Editors narrated their reasoning aloud as they worked, so every step pairs a screenshot with the expert's own thought, a structured action, and executable grounding: >a Premiere MCP tool call, keyboard shortcut, menu path, or coordinate click. >The format follows the AgentNet trajectory schema, extended with a Premiere action taxonomy and multi-path execution. ***That makes it directly usable for computer-use agent SFT, reasoning mid-training, tool-use and function calling, and benchmarking agents against a human expert baseline. Enjoy!

What is the best video editing agent for short form social? Does it actually work? We watched professional video editors, step by step, as they built short-form social reels in Adobe Premiere Pro. Today we're open-sourcing this preview dataset on Hugging Face, to make AI agents better at editing videos. The data set is 234 annotated steps across 4 computer-use trajectories. Editors narrated their reasoning aloud as they worked, so every step pairs a screenshot with the expert's own thought, a structured action, and executable grounding: >a Premiere MCP tool call, keyboard shortcut, menu path, or coordinate click. >The format follows the AgentNet trajectory schema, extended with a Premiere action taxonomy and multi-path execution. ***That makes it directly usable for computer-use agent SFT, reasoning mid-training, tool-use and function calling, and benchmarking agents against a human expert baseline. Enjoy!

ben

39,640 views • 1 month ago

Wow! Send A File By Just The Camera! A vibe coder used AI to build a file transfer system that sends data between two phones using only a screen and a camera. One phone displays a new type of animated QR codes while the other scans them to rebuild the file, with no Wi-Fi, Bluetooth, or cables needed. It is fully optical and local. The system uses fountain codes that create each QR frame as a random mix of file data. This keeps transfers working even if some frames are missed, reaching speeds of about 129 KB/s for a 2 MB image. The entire project was built in one night and released as open source. The idea came from a music project where the developer wanted to share MP3 files without streaming or using the same network. Animated QR codes became the solution, showing a creative new way to transfer files with everyday phone hardware. GitHub link:

Wow! Send A File By Just The Camera! A vibe coder used AI to build a file transfer system that sends data between two phones using only a screen and a camera. One phone displays a new type of animated QR codes while the other scans them to rebuild the file, with no Wi-Fi, Bluetooth, or cables needed. It is fully optical and local. The system uses fountain codes that create each QR frame as a random mix of file data. This keeps transfers working even if some frames are missed, reaching speeds of about 129 KB/s for a 2 MB image. The entire project was built in one night and released as open source. The idea came from a music project where the developer wanted to share MP3 files without streaming or using the same network. Animated QR codes became the solution, showing a creative new way to transfer files with everyday phone hardware. GitHub link:

Brian Roemmele

16,603 views • 22 days ago

Claude Design is f*cking cracked for landing pages 🤯 Find any competitor's e-com lander → feed it to Claude Design w/ your brand's design system → get back a fully rebuilt version in your brand, your copy, your design. All inside Claude Design. Perfect for DTC brands and agencies who are still paying freelancers to build advertorial pages from scratch. If you're finding landers that have been running on Meta for 6+ months and want to test the same structure for your brand —> Briefing a designer, waiting a week, getting back a flat mockup, giving notes, waiting again... Claude Design eliminates the entire loop: → Use Go Full Pag to screenshot the full competitor lander → Feed it to Claude Design with your design system → Prompt it to extract the exact section structure and rebuild it for your brand → It rewrites all copy, applies your fonts, colors, and layout → Iterate section by section — send a screenshot of what you want to fix, it fixes it → Drop in your product images and founder photos as you go No designer. No back-and-forth briefs. No starting from scratch. What you get: -> Full production-ready lander built around a proven structure that's already converting on Meta -> Live elements (countdown timers, animated sections) auto-generated -> Mobile and desktop versions you can refine with plain-English prompts -> A repeatable system — new competitor, new screenshots, same pipeline I put together a full playbook breaking down the exact process — the prompts, the section-by-section editing approach, and how to set this up for any competitor lander. Want it completely for free? > Like this post > Comment "CLONE" And I'll send it over (must be following so I can DM)

Mike Futia

37,893 views • 3 months ago