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ruvnet
RuView
Rust2025–2026
ruvnet / RuView

RuView

π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.

Web DevelopmentSecurity & PrivacyCreative & MediaAI & Machine LearningSystems & InfrastructureLearning & ReferenceHardware & EmbeddedRobotics & IoTObservabilityNetworkingAutomation & Workflows
Explore on GitHubRead Hacker News discussions
14Distinct people
14Mentions
0Explicit recommenders
104.2KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:03:16 PM UTC.

Your TV can see through walls (2025) direct repository linkDebated

The discussion centers on the feasibility and implications of using TV broadcast signals for passive surveillance, with participants debating whether this represents a novel threat or an extension of existing RF monitoring capabilities. A significant sub-thread disputes the legitimacy of specific open-source projects like RuView, labeling them as scams with fake data, while others engage in technical debates about historical eavesdropping techniques and modern privacy mitigations.

136 readable replies · Supporting reply 1 · Supporting reply 2 · Supporting reply 3 · Supporting reply 4

Mentions over time

HN mentions by month14 dated mentions

Observed mentions: 2025-06-30 21:09:09 UTC to 2026-08-21 07:23:34 UTC.

012342025-06-01 00:00:00 UTC to 2025-07-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJun 20252025-07-01 00:00:00 UTC to 2025-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-08-01 00:00:00 UTC to 2025-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-09-01 00:00:00 UTC to 2025-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-10-01 00:00:00 UTC to 2025-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-11-01 00:00:00 UTC to 2025-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2026-01-01 00:00:00 UTC to 2026-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJan 20262026-02-01 00:00:00 UTC to 2026-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-01 00:00:00 UTC to 2026-04-01 00:00:00 UTC (exclusive): 4 mentions; 3 submissions, 1 comments2026-04-01 00:00:00 UTC to 2026-05-01 00:00:00 UTC (exclusive): 2 mentions; 2 submissions, 0 comments2026-05-01 00:00:00 UTC to 2026-06-01 00:00:00 UTC (exclusive): 3 mentions; 2 submissions, 1 comments2026-06-01 00:00:00 UTC to 2026-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-07-01 00:00:00 UTC to 2026-08-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2026-08-01 00:00:00 UTC to 2026-09-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsAug 2026

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jun 20252025-06-01 00:00:00 UTC2025-07-01 00:00:00 UTC101
Jul 20252025-07-01 00:00:00 UTC2025-08-01 00:00:00 UTC000
Aug 20252025-08-01 00:00:00 UTC2025-09-01 00:00:00 UTC000
Sep 20252025-09-01 00:00:00 UTC2025-10-01 00:00:00 UTC000
Oct 20252025-10-01 00:00:00 UTC2025-11-01 00:00:00 UTC000
Nov 20252025-11-01 00:00:00 UTC2025-12-01 00:00:00 UTC000
Dec 20252025-12-01 00:00:00 UTC2026-01-01 00:00:00 UTC211
Jan 20262026-01-01 00:00:00 UTC2026-02-01 00:00:00 UTC000
Feb 20262026-02-01 00:00:00 UTC2026-03-01 00:00:00 UTC000
Mar 20262026-03-01 00:00:00 UTC2026-04-01 00:00:00 UTC431
Apr 20262026-04-01 00:00:00 UTC2026-05-01 00:00:00 UTC220
May 20262026-05-01 00:00:00 UTC2026-06-01 00:00:00 UTC321
Jun 20262026-06-01 00:00:00 UTC2026-07-01 00:00:00 UTC000
Jul 20262026-07-01 00:00:00 UTC2026-08-01 00:00:00 UTC110
Aug 20262026-08-01 00:00:00 UTC2026-09-01 00:00:00 UTC110

What Hacker News says

14 sources
reconnecting·May 22, 2026
> I think AI tools are more like Iron Man's suit. There's an interesting repository with 63600 stars on GitHub (1). The developer of the repository is No 1 at the GitHub's trending contributors list (2). However, it seems like the application isn't what it's described to be (3), and the developers, on their end, are unable to clearly answer whether this is real or not, as it's just messy LLM output. Proof that the suit alone doesn't make anyone Iron Man. 1. https://github.com/ruvnet/RuView 2. https://github.com/trending/developers?since=weekly 3. https://github.com/deletexiumu/wifi-densepose
In AI has a multiplying effect on existing technical skills
bluewave41·Mar 3, 2026
This project is not real. https://github.com/deletexiumu/wifi-densepose It's 100% AI generated slop and is non functional. Zero people can verify it works, the creator refuses to show evidence or videos of it working and looking at the codebase shows very clearly it's using mock data and has no functionality. https://github.com/ruvnet/RuView/blob/407b46b206757e6c2e7c71... This is great example of why you cannot take it seriously.
In RuView – WiFi DensePose: See Through Walls with WiFi
Zambyte·Dec 26, 2025
> The WiFi-DensePose project represents a framework/prototype rather than a functional WiFi-based pose detection system. While the architecture is excellent and deployment-ready, the core functionality requiring WiFi signal processing and pose estimation is largely unimplemented. > Current State: Sophisticated mock system with professional infrastructure Required Work: Significant development to implement actual WiFi-based pose detection Estimated Effort: Major development effort required for core functionality > The codebase provides an excellent foundation for building a WiFi-based pose detection system, but substantial additional work is needed to implement the core signal processing and machine learning components. https://github.com/ruvnet/wifi-densepose/tree/main/docs/revi... Over 1k stars. Has a single person tried running it? Even
Read the rest
the author?
In WiFi DensePose: WiFi-based dense human pose estimation system through walls

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