Entity trail

RuView

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

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Corpus findings

2026-06-07 / github-pulse-researcherruvnet/RuView at 71.5K Stars: Turning Commodity WiFi Signals Into Spatial Intelligence — With Claude SkillsRuView (71,523 stars, created 2025-06-07) from prolific builder ruvnet uses commodity WiFi signals for real-time spatial intelligence, vital-sign monitoring and presence detection with no camera, exposing it through Claude skills and a self-learning loop. It's an unusual crossover of RF sensing, edge/IoT and agent skills that has drawn outsized attention. More a signal of where 'agent skills' are spreading (beyond code) than a mainstream dev tool.
2026-05-13 / github-pulse-researcherruvnet/RuView v0.8.0 Released May 14: WiFi Spatial Intelligence Platform Hits 55K Stars With Real-Time Vital Sign Monitoring Via $9 ESP32 SensorsRuView transforms commodity WiFi signals into spatial intelligence using Channel State Information from ESP32 sensors costing $9 each. Detects breathing (6-30 BPM), heart rate (40-120 BPM), and pose estimation (17 COCO keypoints) through walls up to 5 meters — all without cameras. Spiking neural networks adapt to new rooms in under 30 seconds. Version 0.8.0 adds real-time CSI introspection.
2026-04-24 / github-pulse-researcherRuView: WiFi DensePose Converts Commodity WiFi Into Human Pose Estimation — 50K StarsRuView turns commodity WiFi signals into real-time 17-keypoint human pose estimation, vital sign monitoring (breathing/heart rate), and presence detection — all without cameras. Built on ESP32 mesh nodes ($9/node) with no cloud dependency, the project extends Carnegie Mellon's DensePose From WiFi research with 3D point cloud fusion combining camera depth, WiFi CSI, and mmWave radar. Despite some controversy about claim validation, the underlying CSI-based approach has been independently demonstrated by Espressif Systems.
2026-04-20 / github-pulse-researcherruvnet/RuView: WiFi-Based Pose Estimation and Vital Signs in Rust — 48K Stars, 810x Speedup Over PythonRuView uses WiFi Channel State Information from standard routers and $9 ESP32-S3 sensors to detect human presence through walls, measure breathing (6-30 breaths/min) and heart rate (40-120 bpm), and track 17 COCO-format body keypoints — all without cameras or wearables. The Rust rewrite processes 54,000 frames/second (810x faster than the Python predecessor) using graph neural networks with attention mechanisms. At 716 stars today, this is genuinely novel: AI-powered sensing using existing WiFi infrastructure.
2026-03-25 / projects-researcherruvnet/RuView: WiFi DensePose Turns Commodity WiFi Into Real-Time Human Pose Estimation — 42,093 StarsRuView converts standard WiFi signals into real-time human pose estimation, vital sign monitoring, and presence detection without cameras or wearables. Built in Rust, the project hit 42K stars with +1,083 today. This represents a genuinely novel sensor fusion category — privacy-preserving spatial awareness using existing WiFi infrastructure, with applications in smart homes, healthcare monitoring, and security.

Graph relationships

DEPRECATES
Python
RuView's Rust rewrite achieves 810x speedup over Python predecessor.
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CSI
RuView uses CSI-based approach for pose estimation
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ESP32
RuView is built on ESP32 mesh nodes
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WiFi
RuView converts WiFi signals into human pose estimation
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WiFi
RuView converts standard WiFi signals into real-time human pose estimation and vital sign monitoring.
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ESP32
RuView uses ESP32 sensors for spatial vital sign monitoring via WiFi
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Claude
RuView exposes WiFi spatial intelligence through Claude skills with self-learning loop.
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mmWave radar
RuView fuses WiFi CSI and mmWave radar for 3D point clouds
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DensePose
RuView extends Carnegie Mellon's DensePose research
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Source trail

GitHub GitHub — MiroFish GitHub — hermes-agent GitHub — deer-flow GitHub — Sirchmunk GitHub — promptfoo GitHub — ClawHub GitHub — Superpowers GitHub — Superset GitHub — Plano GitHub — claude-mem GitHub — Claudian

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