Atmoscapia
Ambient Music Generator Studio for Creators
What it does
Atmoscapia is an AI-powered ambient music generator that creates cinematic, atmospheric, and royalty-free soundscapes directly in the browser. Generate dark ambient, meditation music, sci-fi drones, analog horror audio, and immersive cinematic atmospheres within seconds using advanced synthesis and AI-driven sound design. Perfect for YouTube creators, filmmakers, indie game developers, streamers, podcasts, and digital storytelling projects.
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- IMI made some ambient music generators that run in your browser2022 · flowful.app · ▲299
- AAAn algorithmic audio landscape2024 · ambient.garden · ▲193
This is an web audio experiment I've been wanting to do for a long time. Basically an ambient music composition, but all the sound elements are laid out in space, and that musical space can be explored freely. It's definitely inspired by in-world music that sometimes appears in games. I basically took that concept, keeping the music aspect, and dropping the entire "game" aspect. I also turned it into a more "traditional" non-interactive album, but since I started with code, why not program the whole thing? Had a blast making the entire album from code, the complete source for the album is…
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Launched alongside, May 2026
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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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Dev tools · May 2026 · github.com