# cool-radar — Radar for the devices near you

> Radar for the devices near you (iPhone/iPad app by Zheniy Shacc.)

- Source: https://appshunter.io/ios/app/cool-radar/id6801358846 (this page in markdown: same URL + `.md`)
- Developer: [Zheniy Shacc](https://appshunter.io/developer/1886376938)
- Category: Utilities, Developer Tools
- Price: Free
- Age rating: 17+
- Requires: iOS 18.0 · 4 MB
- Languages: American English, Russian
- Released: 2026-08-25
- Data updated: 2026-09-11
- User reviews in markdown: https://appshunter.io/ios/app/cool-radar/id6801358846/reviews.md

## What is cool?

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.


## Version history (last 1 release)

### 1.0 — 2026-08-25

No release notes.

## More apps by Zheniy Shacc

- [cool-iQ](https://appshunter.io/ios/app/cool-iq/id6801345709)
- [Cool Poker: Hold'em Club](https://appshunter.io/ios/app/cool-poker-holdem-club/id6801356467)
- [cool-time](https://appshunter.io/ios/app/cool-time/id6801361951)
- [cool-N](https://appshunter.io/ios/app/cool-n/id6801367134)
- [Karaim](https://appshunter.io/ios/app/karaim/id6801368034)

All apps by Zheniy Shacc: https://appshunter.io/developer/1886376938

---

*Data collected daily from the US App Store and indexed by [AppsHunter](https://appshunter.io/). User reviews are verbatim App Store reviews. Ratings, prices and chart positions refresh continuously; this snapshot is from 2026-09-11.*