# cool-radar

> Radar for the devices near you

Canonical page: [https://chrome-stats.com/d/id6801358846](https://chrome-stats.com/d/id6801358846)

## Overview

- **ID:** `id6801358846`
- **Platform:** Apple
- **Type:** Apple app
- **Status:** Available
- **Publisher:** Zheniy Shacc
- **Category:** Utilities
- **Version:** 1.0
- **Last updated:** 2026-08-25
- **First published:** 2026-08-25
- **Size:** 3.94 MB
- **Data as of:** 2026-09-20
- **Store listing:** [Apple App Store](https://apps.apple.com/us/app/cool-radar/id6801358846)
- **Privacy policy:** [https://141.98.191.108.nip.io/coolradar/privacy/](https://141.98.191.108.nip.io/coolradar/privacy/)

## Description

Nearby radios, measured and inferred — never faked. Every number says how it was obtained.

cool-radar turns the radios already inside your iPhone into a radar for the devices around you — with no extra hardware, and without inventing a single number.

WHAT YOU SEE
Nearby Bluetooth LE devices appear as contacts with an estimated distance, a bearing once there is enough geometry to support one, and a ranked guess at what each device actually is. The Wi-Fi card shows the link your phone is really on: type, interface, local address and subnet, the default gateway and the gateway's manufacturer. Where both ends have UWB hardware, distance stops being an estimate and becomes a measurement.

HONEST BY DESIGN
Every value carries a badge. "Measured" is a hardware reading. "Inferred" is a value the math derived. Distances read "≈ 4.5 m" because radio ranging is an estimate, not a ruler. When there is not enough geometry for a direction, the app draws a ring of possible positions and a question mark instead of a convincing-looking arrow. And when iOS simply does not expose something — neighbouring Wi-Fi networks, raw spectrum, Wi-Fi CSI — the app says so instead of filling the gap with fiction.

THE MATH INSIDE
• Log-distance path-loss inversion, with a per-device exponent that recalibrates itself from the geometry you walk
• Kalman filtering with motion-gated noise, so a device that is standing still stops drifting on screen
• Robust multilateration with Huber weights, so a single reflection off a wall cannot drag a position across the room
• A naive-Bayes hypothesis engine that ranks device types from the broadcast name, company ID, advertised GATT services, transmit power, address policy and advertising cadence — and shows you the evidence behind every guess
• Behaviour analytics over the signal time series: advertising interval, jitter, trend and periodicity
• Radio tomography that maps excess path loss into an attenuation picture of the space

FEATURES
• Top-down radar with range rings, pinch to zoom, double tap to reset
• Device list with search and type filters
• Device card with signal history, ranked hypotheses and the evidence for each
• Unwanted-tracker heuristics based on public advertising patterns
• CSV export of a session
• Full Russian and English, switchable inside the app

PRIVACY
All sensing and all math run on your iPhone. No account, no analytics, no tracking, no advertising identifier. One optional setting — off until you turn it on — may send a 24-bit manufacturer prefix to a public vendor database to name your router. Nothing else ever leaves the device.

Use cool-radar only on networks and devices you are entitled to inspect. It does not decrypt Find My identities, does not enumerate neighbouring Wi-Fi networks, and provides no covert tracking of people.

REQUIREMENTS
iOS 18 or later. Bluetooth works on every iPhone. UWB distance needs U1/U2 hardware on both devices. Room geometry needs a LiDAR model. Anything unavailable on your hardware is shown as unavailable rather than simulated.

## Rankings

- #1,777,381 — Overall

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Source: [Chrome-Stats](https://chrome-stats.com/d/id6801358846)