TTi Technologies

The project attempts to address a legitimate cybersecurity problem using an interesting machine learning approach (geometric anomaly detection in vector spaces). However, the submission is critically undermined by unrealistic and unsupported claims—stating 'everyone' is the target audience and 'most people have used my product'—despite being a self-described prototype with only a team of 6 and no verifiable active users. The very low score reflects the severe lack of evidence, exaggerated traction signals, and poor response quality.