Dashboard
A single glance summary of live detection count, scan status, and what matters right now.
iOS • SwiftUI • On-device insights
See the RF world around you with calm, clear signals.
RF_4DAT turns onboard detection into a simple story: how many devices, where they appear, and how those patterns change over time.
Live count
24
Devices detected nearby
Trend signal
+12%
Evening activity rising
History by place
Home, work, school, or a walk. Track patterns by location with friendly charts and notes.
On-device AI trends
Identify shifts without uploading raw data. Local insights keep your signal story private.
Community map, opt-in only
Share anonymized RF detections to build a living map of activity and improve local awareness.
- Anonymous contributions
- Consent-first sharing
- Community heatmap view
Community activity preview
Designed for trust
Local processing
Trends are computed on device before anything leaves your phone.
Clear controls
Toggle sharing and AI features anytime with simple prompts.
No personal IDs
Only aggregated counts are shared with the community map.
Bluetooth scanning
RF_4DAT scans nearby Bluetooth devices only when you tap Start.
Optional location
Location is used on-device to auto-tag scans by place.
On-device history
Scan history stays on your phone and can be exported anytime.
Testing access
Join the TestFlight rollout
We are preparing TestFlight access for early reviewers. Add your email to the beta list and we will send the invite when the build clears review.
What to expect
- Bluetooth + optional location prompts
- Manual scans with on-device history
- CSV export for your records
App review notes
Permissions
Bluetooth is required for scanning. Location is optional for auto-tagging.
No background scans
Scans start manually from the dashboard and stop automatically.
No data collection
History is stored locally and can be exported as CSV by the user.
Beta access
Join the early RF_4DAT list
Get notified when the beta opens. We will only send product updates and release invites.