Carl Atupem

High-quality screens in seconds. Use it standalone. Export to FlutterFlow. Whatever works for you. Oh, and it's free. designer.flutterflow.io Let us know what you think!

JUST ME AND 900 FRIENDS: x.com/atupem/status/…

Hi @LEGO_Group please bring us the golden age of LEGO Robotics. Imagine what kids could build with high-level sensors and vibe coding. Sensors/modules: voice input, voice output, AI camera with object/person detection, LLM reasoning engine. This would be the #1 way in the world for kids to learn robotics. cc @LEGO_Education

Don't underestimate the value of Desktop Agents. For years, we accepted that most cross-app processes can't be automated without APIs, and even our best automations break when a button moves 10 pixels. I gave an AI control of a computer. It navigated legacy portals, handled 2FA and captchas, and kept working through UI updates. The most expensive automation is the one you never attempt because "there's no API". We can think of an AI desktop agent as a "𝗿𝗲𝗺𝗼𝘁𝗲 𝘄𝗼𝗿𝗸𝗲𝗿". Every application becomes automatable if we use the right primitives. Instead of building integrations, we give AI the same tools a remote employee has: keyboard, mouse, and screen. No DOM parsing. No brittle selectors. Just vision and interaction. I wanted to find something that works well for tasks like these: - Organizing scattered information about venue rentals across multiple sites into a spreadsheet for my son's upcoming birthday - Navigating a complex IRS tax form and getting customized instructions - Creating technical diagrams in Excalidraw - Testing features written by coding agents - closing the gap between generation and execution I found @bytebot_ai to be a super useful AI desktop agent tool (open source, Apache 2.0), which is also a YCombinator backed startup. It runs containerized on your infrastructure, uses your LLM keys (OpenAI, Anthropic, Gemini, or LiteLLM), is self-hosted so keeps your data private. You can run it autonomously, or take over mid-task and hand control back. As reasoning models improve, the gap between "needs human intervention" and "fully automated" is collapsing faster than most organizations realize. Just let the model do the work.