A device for surveillance detection should not cost more than the car it protects. And you should not need a security clearance to operate it. We built GoTailMe because nothing else existed in between.<\/p>\n\n\n\n
Mapaho Labs is a European hacker-lab for digital reconnaissance products. We develop tools that turn raw signal data into actionable security information. The kind of tools we would have needed ourselves, but could not find anywhere.<\/p>\n\n\n\n
Our team works at the intersection of wireless security research, embedded systems, and threat analysis. We are not a startup chasing growth metrics. We are engineers who read Bluetooth specifications at night and test detection algorithms in the field on weekends. Every product we deliver solves a problem we have experienced ourselves.<\/p>\n\n\n\n
GoTailMe is our first commercial product \u2014 and the one that showed us there is a market for what we do.<\/p>\n\n\n\n
The monitoring market for surveillance detection has a strange shape. On one side there are free smartphone apps that look for nearby AirTags and can do little more. They are limited by the capabilities of a smartphone. They cannot monitor WiFi probe requests. They cannot perform GPS correlation. Whole categories of tracking devices evade them.<\/p>\n\n\n\n
On the other side is professional TSCM equipment. RF spectrum analyzers, nonlinear junction detectors, thermal imaging systems. Effective, but priced between five thousand and fifty thousand euros, and it takes trained operators to interpret the results.<\/p>\n\n\n\n
In this exact gap lives GoTailMe. A portable, standalone device that conducts continuous surveillance detection over WiFi, Bluetooth, and airspace threats at a price accessible to security consultants, journalists, and privacy-conscious individuals. No training required. No cloud accounts. No subscriptions. Power on, and it starts working.<\/p>\n\n\n\n
Development began in November 2025. The first version was simple:
Monitor WiFi probe requests, label devices that appear too often, and display the results in a dashboard. It worked, but covered only one attack vector.<\/p>\n\n\n\n
Within weeks Bluetooth Low Energy scanning was added. Not only for known trackers, for everything. Every BLE device in range leaves a fingerprint: smartwatches, headphones, fitness trackers, TPMS tire pressure sensors, car dash cams, medical devices. GoTailMe captures and profiles them all. If the same headphones appear at every location you visit, the system will report it. A dedicated tracker is an obvious threat. A phone or a smartwatch following you is a subtler and often more dangerous threat because it is attached to a person.<\/p>\n\n\n\n
The Stalker Scoring algorithm was one of the hardest problems. How do you distinguish between a neighbor’s AirTag on the way to work and one hidden in your pocket? The answer is behavior analysis over time: appearance patterns, proximity duration, geographic correlation, signal strength trends. We settled on a 0\u2013100 rating system that accounts for all these variables, calibrated by months in field use.<\/p>\n\n\n\n
The biggest leap in detection came with GPS integration. Before GPS, the system could tell you what was nearby. After GPS integration, it could tell you if you were being tracked.<\/p>\n\n\n\n
There is a crucial difference between detecting a device and confirming a follower. A Bluetooth tracker in a cafe is noise. The same tracker in the cafe, your office, and your home is a confirmed threat. GoTailMe\u2019s Confirmed Follower Detection requires evidence from multiple locations before an alert escalates, which means fewer false positives and significantly higher confidence when a real threat is identified.<\/p>\n\n\n\n
To achieve this we developed the Geiger mode: once a potential tracker is reported, switch the device to Proximity Scan. Acoustic signals intensify as you approach the tracker. It turns the device into a handheld sweep tool \u2014 walk around your car, your bag, your office and locate exactly where the tracker is hidden.<\/p>\n\n\n\n
WiFi and Bluetooth covered ground-level surveillance. But the threat landscape also includes the airspace.<\/p>\n\n\n\n
Early 2026 we added a complete drone detection pipeline. GoTailMe now monitors RemoteID transmissions (the ASTM standard most consumer drones broadcast), DJI’s proprietary Bluetooth protocol, and WiFi-based drone fingerprints. It captures flight telemetry, marks suspicious patterns like loitering, identifies operator locations when available, and even detects spoofed RemoteID transmissions. Drones broadcasting false identification data.<\/p>\n\n\n\n
That was not originally planned. But once we had a platform that could monitor multiple radio channels simultaneously and correlate with GPS data, drone detection became a natural extension of the architecture.<\/p>\n\n\n\n
Early in development we made a decision that shaped everything to come: no cloud connectivity. Never.<\/p>\n\n\n\n
A surveillance device that phones home is a contradiction. Your threat data \u2014 where you go, what follows you, when you are most vulnerable \u2014 is exactly the kind of information that should never leave your possession.<\/p>\n\n\n\n
GoTailMe processes everything locally. There are no user accounts. No telemetry. No analytics. No API calls to external servers. The dashboard runs on the device itself, accessible through the built-in wireless access point. Connect your phone or laptop directly, no internet required.<\/p>\n\n\n\n
This constraint made development harder. We could not offload any computations. We could not use cloud-based machine learning. Every algorithm had to run efficiently on embedded hardware in real time. But it is the right trade-off. Privacy is not a feature; it is the foundation.<\/p>\n\n\n\n
GoTailMe went from first commit to production hardware in under four months. Over 200 commits. Three independent detection channels. A fully browser-based dashboard with real-time threat maps, device overviews, and professional reporting. Export formats for GeoJSON, KML, HTML, and Markdown \u2014 because when you document a threat for a client or for law enforcement, presentation matters.<\/p>\n\n\n\n
The device ships pre-configured and tested. There is no setup wizard, no firmware flashing, no configuration files. Power on, connect to the access point, open the dashboard. You will detect threats within seconds of unboxing.<\/p>\n\n\n\n
Software updates are automatic; connect the device to a network and it downloads the latest version. No manual intervention, no version tracking, no maintenance.<\/p>\n\n\n\n
We built GoTailMe for people who take their personal safety seriously:<\/p>\n\n\n\n
GoTailMe is our first product, not our last. Mapaho Labs is building a pipeline of digital reconnaissance tools, each designed to give individuals and small teams capabilities that used to be available only to well-funded authorities.<\/p>\n\n\n\n
We do not announce products before they are ready. But if you are interested in our work, GoTailMe is the best hint of how we think: practical, field-tested, privacy-by-default, and built to close gaps the market tends to ignore.<\/p>\n\n\n\n
GoTailMe coming soon \u2014 only at Mapaho.com<\/p>\n\n\n\n
For further questions simply use the chat on GoTailMe.com.<\/p>\n\n\n\n
Made in EU. No subscription. No cloud. No compromises.<\/p>\n\n\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":37658,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"advanced_seo_description":"","jetpack_seo_html_title":"","jetpack_seo_noindex":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[98,98],"tags":[95,95,94,94,99,99],"class_list":{"0":"post-37639","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","6":"hentry","7":"category-privacy","9":"tag-ble","11":"tag-gps","13":"tag-privacy"},"jetpack_featured_media_url":"https:\/\/i0.wp.com\/www.mapaho.com\/wp-content\/uploads\/2026\/02\/mapaho-labs-introducing-gotailme.jpg?fit=1376%2C768&ssl=1","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.mapaho.com\/en\/wp-json\/wp\/v2\/posts\/37639","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.mapaho.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.mapaho.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.mapaho.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mapaho.com\/en\/wp-json\/wp\/v2\/comments?post=37639"}],"version-history":[{"count":1,"href":"https:\/\/www.mapaho.com\/en\/wp-json\/wp\/v2\/posts\/37639\/revisions"}],"predecessor-version":[{"id":37640,"href":"https:\/\/www.mapaho.com\/en\/wp-json\/wp\/v2\/posts\/37639\/revisions\/37640"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.mapaho.com\/en\/wp-json\/wp\/v2\/media\/37658"}],"wp:attachment":[{"href":"https:\/\/www.mapaho.com\/en\/wp-json\/wp\/v2\/media?parent=37639"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.mapaho.com\/en\/wp-json\/wp\/v2\/categories?post=37639"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.mapaho.com\/en\/wp-json\/wp\/v2\/tags?post=37639"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}