Show HN: A Puzzle Game Based on Non-Commutative Operations https://ift.tt/Qwusd4h

Show HN: A Puzzle Game Based on Non-Commutative Operations While solving a Skewb[ https://ift.tt/gJIUPiC ] cube I thought it would be interesting to have the subproblems of it presented as puzzle games, one thing lead to another and here is the result. I have definitely some UX problems so looking for feedbacks and thoughts. The best part of this game is, level generation and difficulty analysis can be automated. I have here 15 tested and 5 experimental levels. I enjoy 15th level the most, has an intuitive solution. You can try the competitive mode with a friend, you need to share the link with them. If I can bring the level count to thousands, I will add a ranking system. My mind keep racing about the possibilities, but kind of cannot prioritize at the moment. All kind of feedback, collaboration requests are welcome! https://ift.tt/K3PHZxg March 3, 2026 at 12:20AM

Show HN: Giggles – A batteries-included React framework for TUIs https://ift.tt/LtoCgjI

Show HN: Giggles – A batteries-included React framework for TUIs i built a framework that handles focus and input routing automatically for you -- something born out of the things that ink leaves to you, and inspired by charmbracelet's bubbletea - hierarchical focus and input routing: the hard part of terminal UIs, solved. define focus regions with useFocusScope, compose them freely -- a text input inside a list inside a panel just works. each component owns its keys; unhandled keypresses bubble up to the right parent automatically. no global handler like useInput, no coordination code - 15 UI components: Select, TextInput, Autocomplete, Markdown, Modal, Viewport, CodeBlock (with diff support), VirtualList, CommandPalette, and more. sensible defaults, render props for full customization - terminal process control: spawn processes and stream output into your TUI with hooks like useSpawn and useShellOut; hand off to vim, less, or any external program and reclaim control cleanly when they exit - screen navigation, a keybinding registry (expose a ? help menu for free), and theming included - react 19 compatible! docs and live interactive demos in your browser: https://ift.tt/Mrl3hGp quick start: npx create-giggles-app https://ift.tt/DFcEGUm March 2, 2026 at 11:26PM

Show HN: MCP-firewall: I created a policy engine for CLI Agents https://ift.tt/iHpTlwb

Show HN: MCP-firewall: I created a policy engine for CLI Agents https://ift.tt/RJU6eZs March 1, 2026 at 09:24PM

Show HN: Built a tool that turns your GitHub commits into build-in-public posts https://ift.tt/ilL2mAC

Show HN: Built a tool that turns your GitHub commits into build-in-public posts I kept failing at building in public for the same reason every time: not fear of judgment, just the blank page after a long day of shipping. Something always happened. But converting "refactored auth flow" or "fixed that edge case that's been annoying me for a week" into something worth posting felt like a second job on top of the actual job. So I'd skip it. Then skip it again. Then stop entirely. The approach: connect your GitHub, it pulls recent commits and repo activity, and generates draft posts for multiple platforms in your tone — raw founder voice, not content creator polish. The idea is you're always starting from something real you actually did, not staring at a blank box trying to manufacture insight. A few decisions I made consciously: Didn't want to build another scheduler. Hypefury/Typefully solve distribution. This solves the upstream problem: knowing what to say in the first place. Kept the output editable and minimal — 2-3 options per session, short, easy to tweak. Not trying to automate your voice, just unblock it. Free tier to start. Wanted real usage before charging anyone. Still early. Roadmap includes better tone calibration, tighter commit parsing, and more platform targets. But I've been using it daily myself which is the real test. Would love feedback, especially from anyone who's tried and failed at BIP consistency before. https://www.smashlanding.xyz March 1, 2026 at 05:47AM

Show HN: Userscript to Display Age/Karma of HN Users https://ift.tt/HC4Oq7I

Show HN: Userscript to Display Age/Karma of HN Users Small script to display account age/karma next to all usernames, so you have that info available to you without clicking through to someone's profile. Opus 4.6 written, it's a mess but it works :) Using with Tampermonkey on Firefox. https://gist.github.com/m4chinations/f6d58711a94077d96cf4157665b0bab3 March 1, 2026 at 01:46AM

Show HN: Computer Agents – Agents that work while you sleep https://ift.tt/lb3cLHJ

Show HN: Computer Agents – Agents that work while you sleep Hey HN, Most AI “agents” I’ve tried are basically chatbots with amnesia — they forget everything the moment you close the tab and can’t do anything unless you’re sitting there watching them. I wanted real AI coworkers that just… work. So I built Computer Agents (aiOS). Every agent you create gets its own isolated computer in the cloud — complete with persistent memory, a real file system, code execution environment (with automatic dependency management), and the ability to run scheduled or webhook-triggered tasks 24/7. You give it a goal (“research this market and email me a report every Monday”, “generate floor plans from client briefs”, “handle incoming support emails”, “run my weekly data analysis”), walk away, and come back to finished results in your inbox, Telegram, or dashboard. Key highlights: • Persistent workspaces — context and files survive forever (no more “remember what we talked about last week?”) • Native iOS app (iPhone + iPad) + native Mac app + web dashboard • Python + TypeScript SDKs (pip install computer-agents, npm install computer-agents) • Multi-agent orchestration (sequential, parallel, map-reduce, conditional flows) • Built-in skills: deep web research with citations, web search, image generation, full code interpreter • Integrations: Email, Telegram, GitHub, Google Drive, OneDrive, Notion, webhooks, etc. • Runs in secure isolated cloud containers (you own your data) It’s live at https://ift.tt/NlzwgMd Free tier gives you 150 compute tokens (~15–23 decent-sized tasks) so you can try it right now. Pro starts at $19/mo when you want more. This is very much still a young indie project (I’m the solo founder), but it’s already helping real teams automate support, research, content, and coding workflows. Would love your honest feedback — especially: • What persistent/long-running agent pain points have you hit with other tools? • Interesting use cases you’d want to try? • Thoughts on the architecture (sandboxing, persistence model, orchestration) Happy to answer any questions! Thanks, Jan Luca (indie maker behind Computer Agents) P.S. If you’re into computer-use agents, we also have a comparison page: https://ift.tt/Flnrm2u https://ift.tt/NlzwgMd March 1, 2026 at 12:28AM

Show HN: Memctl v0.1.0 Open source shared persistent memory for AI coding agents https://ift.tt/VcN9KZz

Show HN: Memctl v0.1.0 Open source shared persistent memory for AI coding agents https://memctl.com February 28, 2026 at 11:47PM