Alternatives
Products that do what Leet Robotics: Learn robotics and ROS2 with hands-on courses does
Hi all, I've just launched Leet Robotics: a platform to learn robotics hands-on, with a full ROS2 workspace that runs in the browser (Jazzy, Gazebo Harmonic, Foxglove, VS Code) - no install required. The platform also has room for sharing projects and simulation assets as it grows. Our first course is live now: Intro to ROS2 (free to read). The course teaches skills ranging from building your first node to a capstone project of a robot touring a museum world, with every lesson runnable in the online workspace (free accounts get an hour of workspace time daily - enough to follow the course).…
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Cloud logging + visualization tools for robotic development
2020
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This is a recipe for building intermediate-priced robot dog from scratch with all commercial/3D-printed parts, controlled by Rasp Pi 5 and ROS2 Jazzy. A manually coded walk gait is implemented so far, which can be controlled by a controller to move forward or change directions. It does not yet have an IMU required for RL training; however, I believe it's one of the simplest design out there available for multiple development paths.
May 2026 · github.com
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Robotics is advancing really fast lately, with AI inference, different controllers, software, and parts always changing. I wanted a place that supports many device types, Raspberry Pi, NVDA Jetson, Arduino, ESP32, hardware sources, and maximizes for printability. Instructables, Github, and Thingiverse are currently popular but aren't really focused on robotics, So I built orobot.io to try and make printing robots as standardized and accessible as possible. It uses a lot of Agent built content custom to each project, and every project is designed to be used by humans or your agent. Features:…
May 2026 · orobot.io
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2016 · hoverbot.io
- 16MB
hi! I’m a 17 y/o dev and I made this so I could show my wpm in code rather than just normal text :) this was my first project that I made awhile back but wanted to share it today. I used React and got the LeetCode samples by webscraping a site that had all the solutions. you can read more about the site in the "about" page. here's the repo: https://github.com/max-lee-dev/hackertype https://twitter.com/maxleedev
2024 · hackertype.dev
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Hi HN, We're a small team building AI tutors out of India, and as you might guess, this means we spend a ton of time writing, testing, and refining prompts for LLMs. When we started out, we were using the OpenAI playground but things became tedious when we wanted to compare responses from different models. We tried a bunch of other playgrounds but found them lacking in some features so we built our own. Quick Links: Github: https://github.com/supernova-app/ai-playground Hosted demo: http://playground.getsupernova.ai Demo video:…
2025 · playground.getsupernova.ai
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I've been experimenting with ROS (Robot Operating System) and the Model Context Protocol (MCP), and noticed a gap: while there were some MCP servers for ROS, most were limited. They either only supported topic communication or had hard-coded topic names, which severely limited their reusability. To address this, I built a general-purpose MCP server for ROS that allows interaction with ROS topics, services, and actions -making it more flexible and extensible than previous approaches. A key design decision was enabling communication between the MCP server and a local ROS machine by simply…
2025 · github.com
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I built a small demo showing a robotics runtime executing entirely inside the browser via WebAssembly. The example workload is a simple flight controller hooked up to a small world simulator. The runtime comes from copper-rs, an open-source robotics runtime written in Rust for deterministic workloads. While robotics stacks are often tightly coupled to specific OS distributions and environments, here, the same code runs on microcontrollers (for example this flight controller also compiles for STM32H7 and flies real drones) as well as on desktop OS targets like Linux, macOS, and Windows. The…
Mar 2026 · cdn.copper-robotics.com
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Howdy friends! Tell me if this is an atrociously terrible idea - I've been working on building a leetcode for clientside devs so we can practice React and Javascript interview questions in a more concise way, I call it clientside.dev I just finished a beta version of it yesterday and plan on releasing it with many more problems on Jan 1st but it's there if you wanna play with it open to any ideas / feedback however mean or nice it may be :)
2022 · vacation-call-335691.framer.app
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This is a quickstart example using LeRobot and Flower that demonstrates how to train a diffusion model collaboratively across 10 individual nodes (each with its own dataset). This example uses the push-t dataset, where the task is to move a letter T object on top of another that is to remain static. The example it's pretty easy to run, and can do so efficiently if you have access to a recent gaming GPU. Although the diffusion model only take 2GB of VRAM (of course you can decide to scale it up), the compute needed to train them isn't negligible. For context, running the example until…
2025 · github.com
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Hey HN — we’re University of Waterloo grads, and we’re building LeetPro (https://tryleetpro.com). LeetPro is Leetcode but for soft skill-based questions and cases. In other words a platform designed to help you nail behavioral, product, and case-based interviews just like Leetcode does for technical interviews. We’re combining AI-driven mock interviews with community-driven content to create a comprehensive preparation tool for systems design, product, and business interviews. We came up with this idea just last week, and we've already launched an MVP that’s worth checking out if…
2024
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Every time I wanted to use LLMs in my existing pipelines the integration was very bloated, complex, and too slow. This is why I created a lightweight library that works just like scikit-learn, the flow generally follows a pipeline-like structure where you “fit” (learn) a skill from sample data or an instruction set, then “predict” (apply the skill) to new data, returning structured results. High-Level Concept Flow Your Data --> Load Skill / Learn Skill --> Create Tasks --> Run Tasks --> Structured Results --> Downstream Steps And the bast part: Every step can be saved and reused as…
2025 · github.com
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