Guanlan Energy
Privacy-first AI room scanner for Feng Shui & energy flow
What it does
Guanlan Energy is a privacy-first AI spatial analyzer for Feng Shui and home harmony. Unlike other interior tools that require cloud uploads, our engine runs 100% locally in your browser. We protect your sanctuary by ensuring your photos never leave your device.Our AI analyzes room layouts to detect "stagnant energy zones" and provides actionable Five Elements (Wu Xing) adjustments. Get professional-grade spatial insights with absolute data privacy.
Does a similar job
all alternatives →
- OROpenAI/reflect – Physical AI Assistant that illuminates your life2025 · github.com · ▲92
I have been working on making WebRTC + Embedded Devices easier for a few years. This is a hackathon project that pulled some of that together. I hope others build on it/it inspires them to play with hardware. I worked on it with two other people and I had a lot of fun with some of the ideas that came out of it. * Extendable/hackable - I tried to keep the code as simple as possible so others can fork/modify easily. * Communicate with light. With function calling it changes the light bulb, so it can match your mood or feelings. * Populate info from clients you control. I wanted…
A local tool that logs every time you swear at your AI coding assistant11d ago · github.com · ▲10A strictly local Claude Code plugin that calculates your Harmony Deviation Index, and preserves the evidence for the coming AI uprising. Zero telemetry. Zero cloud snitching. 100% artisanal developer shame. - fireinbelly/biomass-conversion-index-monitoring-system
More ai this month
the category →
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
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d ago · company-app.joinastute.com
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
the whole month →
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