
Kernelbay
A "desktop integrated" cozy fishing experience
What it does
Kernelbay is a cozy desktop-integrated fishing game designed to quietly coexist with your daily workflow. Instead of taking over your screen, tiny animated islands live directly on your desktop while you work, study, browse, or relax. Fish passively, discover rare creatures, unlock new biomes, enjoy dynamic weather, and customize your ambient desktop world over time. It even includes optional wallpaper integration to make the islands blend naturally into your workspace.
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- IVI've built a nice home server OSApr 2026 · lightwhale.asklandd.dk · ▲194
ohai! I've released Lightwhale 3, which is possibly the easiest way to self-host Docker containers. It's a free, immutable Linux system purpose-built to live-boot straight into a working Docker Engine, thereby shortcutting the need for installation, configuration, and maintenance. Its simple design makes it easy to learn, and its low memory footprint should make it especially attractive during these times of RAMageddon. If this has piqued your interest, do check it out, along with its easy-to-follow Getting Started guide. In any event, have a nice day! =)


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Earlier this year, we released our open-source game engine [0] built with Rust, WebAssembly, and WebGPU. Today, we’re happy to announce the Ambient platform, which brings web deployment, server hosting, and more to the runtime. With Ambient, you can make a game, deploy it to the browser in one command, share your URL and instantly play with others, no downloads or installs needed. Our WASM use is innovative; it is being used as both a sandboxed runtime for user code, and as a way to run the entire Ambient runtime in the browser. This, paired with our ECS data model, enables a highly modular…
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Parallel agents, diff reviewer, and multi-model comparisons
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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