Detecting deepfakes without sending your files to a cloud API
Detects deepfakes locally using optical flow vectors instead of sending files to cloud APIs.

Local-only file scanner catches hidden metadata before AI ingestion.
Privacy-conscious users and developers uploading data to LLMs
ExifTool · Metadefender
Detects deepfakes locally using optical flow vectors instead of sending files to cloud APIs.
Free CSP analyzer when Google's CSP Evaluator already does this.
Planted phrase canary traps for AI crawlers when robots.txt already signals bot access.
Client-side scanner catches Unicode steganography linters miss.
Cybersecurity for your brain sounds compelling, but the MVP lacks technical depth.
Uses RSSI time-series and sensor fusion — BLE plus magnetometer and ambient-light hints — to separate a 'passing' AirTag from a likely 'following' device, and then guides you to it with an audio 'Geiger counter' beacon. Smart, pragmatic feature choices (timeline, background protection, strictly local processing) make this actually useful in tense situations; caveat is hardware limits — claims about finding truly 'dead' GPS units or infrared cameras will depend heavily on your phone's sensors and will produce edge cases and false positives.