Aethera Energy
The solar plant that resolves its own faults
What it does
Every solar monitoring tool sends you an alert. Then stops. Someone still has to diagnose the fault, dispatch the technician, track the fix, update the docs. 3-4 hours of manual coordination. Per plant. Every week. Aethera is the autonomous operations layer that closes that loop, automatically. Fault detected. Root cause classified. Dispatch recommended. Resolution tracked. The plant runs itself. Now the operations do too.
Does the same job
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My solar died for 6 months, so I built a watchdog27d ago · sunranker.com · ▲15Hi HN, Shawn here. My rooftop system lost about half a year of production and nobody told me. Not the installer, not the monitoring app, not the utility. I found out from an electric bill that made no sense, then spent weeks digging through the monitoring portal by hand. SunRanker is what I wished existed that day. Connect a system once (Enphase OAuth, or a SolarEdge site ID plus API key) and it reads production daily, shows it in plain language, and emails you when something actually changes. Three alerts only. The connection broke, the monitoring went quiet, or output has been well below…



More ai this month
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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.
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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


Launched alongside, May 2026
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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai


- NW
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…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com