
Aethernox
The workspace for solo builders who ship.
What it does
AetherNox is the quiet workspace for solo builders who ship. An execution engine that kills friction and protects momentum. Reboot your focus with The Cold Start. Turn roadmaps into public timelines with The Glass Box. Spot blindspots and stay on track with an adversarial AI partner. No noise, no bloat, just proof of work for founders who move fast.
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- ASA self-running space economy SIM in Rust and BevyJul 2026 · github.com · ▲110
I built this with Claude cause I always wanted to tinker with a simulation economoy and I love space themes. A space-economy sim where nothing is scripted. A few hundred autonomous ships each run their own planner. Some chase the best trade route, take a delivery contract, refuel, retrofit at a shipyard, or dock so the crew can rest before morale tanks. Markets price everything off supply with shortage-urgency multipliers, factions tax and subsidize, populations migrate when they're unhappy, and stations that go broke get abandoned and rot. It started as an Elixir/Phoenix prototype, but…

Aether Studio20d ago · aether-nexus-engine-87rj.vercel.app · ▲2Autonomous spatial computing & self-healing engine
MaritimeMar 2026 · maritime.sh · ▲98Hi HN, my name is Maria, and I’m a co-founder of Maritime. We started Maritime at MIT to build infrastructure for companies that need to run thousands of isolated AI agents for their customers. Imagine you set up an agent like OpenClaw, or a personal assistant agent with a custom framework, and want to give a separate version of it to every customer/friend. Each customer needs their own agent running in an isolated microVM, with persistent state, secrets, triggers, and sleep/wake behavior. Building such scalable and secure infra will take you months and will cost hundreds of…
AegisoraAug 2026 · aegisora-ai.vercel.app · ▲93The narrow control plane for AI agent tool and API calls.
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
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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…
AI · 27d ago · cactuscompute.com

