Show HN: SmolSignal – signal copilot for Flipper Zero files (github.com)

SmolSignal has been introduced as an innovative AI copilot designed specifically for Flipper Zero users, transforming complex signal capture files into easy-to-understand explanations while evaluating safety risks. Supporting various common Flipper formats (.ir, .nfc, .rfid, etc.), it uses a deterministic offline readout to help users categorize signals across domains like infrared, NFC, and BLE. Additionally, it leverages AI models such as GPT and OpenAI for deeper insights while maintaining a strict safety protocol—providing passive documentation capabilities without the risk of signal replay or misuse. This development is significant for the AI/ML community as it bridges the gap between technical knowledge and user-friendly application in the realm of signal manipulation, promoting safe exploration of hardware interactions. SmolSignal's safety gate ensures sensitive data is redacted before processing, and it enables authorized lab users to delve deeper with additional controls while preserving cautious boundaries around sensitive areas like access credentials and vehicle security. The combination of a local protocol database and the Shazam-style fingerprinting creates a robust tool for both novices and advanced users in signal analysis and safe experimentation.