cool-radar

Radar for the devices near you

Only for iPhone

Free · Designed for iPhone. Not verified for macOS.

iPhone

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.

  • This app hasn’t received enough ratings or reviews to display an overview.

The developer, Zheniy Shacc, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy .

  • Data Not Collected

    The developer does not collect any data from this app.

    Privacy practices may vary, for example, based on the features you use or your age. Learn More

    The developer has not yet indicated which accessibility features this app supports. Learn More

    Seller
    Zheniy Shacc
    Size
    4.1 MB
    Category
    Utilities
    Compatibility
    Requires iOS 18.0 or later.
    • iPhone
      Requires iOS 18.0 or later.
    • Mac
      Requires macOS 15.0 or later and a Mac with Apple M1 chip or later.
    • Apple Vision
      Requires visionOS 2.0 or later.
    Languages
    English and Russian
    Age Rating
    16+
    Copyright
    © 2026 Zheniy Shacc