Heat Globe
Explore live global data on an interactive 3D Earth.
What it does
Transform complex datasets into a beautiful, explorable 3D world. Heat Globe maps live events (like ISS tracking) and historical data (like GDP and climate) directly onto a 3D Earth running at 60fps in your browser. Switch seamlessly between heatmaps and population spikes, compare metrics in split-screen mode, and use our built-in AI Analyst to get instant, context-aware insights on the data you're viewing. 100% free with no login required.
Does the same job
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- NRNear-realtime cloud maps for weather visualisation, 3D models and more2023 · github.com · ▲68
This is a service I've built to provide equirectangular cloud maps of the whole Earth, updated every 3 hours, for free. It's based on infrared and visible light data from EUMETSAT, processed to enhance the clouds and try to reduce the impact of surface temperatures on the final image. I built it because it's surprisingly hard to find these kinds of images in a format that's useful to developers and hobbyists. I was building a 3D ISS tracker and wanted to include live clouds but couldn't find anything good, so I got sidetracked, and here we are.
- HTHeatMap.TV – Realtime Google Analytics Heatmap for Big-Screen TVs2017 · heatmap.tv · ▲51
- MAMetiq: a real time 3D globe for 100 public datasetsJun 2026 · metiq.space · ▲148
The concept for metiq.space came after playing Global Magnates with friends and realizing how fragmented live global data is. ships, aircraft, satellites, ports, weather, hazards, infrastructure, cyber, and public datasets all exist, but they usually live in separate tools and maps. The goal was to build one interactive 3D globe where live public data could be visualized by latitude, longitude, and altitude. Surface data stays on the globe, while aircraft, satellites, and other above surface things can be represented in actual 3D space instead of being flattened onto a map. The outcome is an…
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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, March 2026
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Switch from ChatGPT to Claude with import memory feature
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