WhatA browser extension and API that analyzes text for statistical markers of LLM generation — em dash frequency, sentence structure entropy, hedging patterns — and provides a confidence score with explainable evidence.
SignalCommenters are actively performing manual forensic analysis on the post itself, debating whether specific stylistic choices like em dashes and lowercase writing are human or machine tells, showing strong organic demand for tooling that automates this analysis.
Why NowSimple watermarking has failed to gain adoption and GPT-detectors like GPTZero have lost credibility due to false positives, but linguistic forensics based on statistical style markers is a fundamentally different and more robust approach enabled by better open-source NLP tooling.
MarketEducators, publishers, hiring managers, and platform trust & safety teams; overlaps with the AI detection market ($500M+ and growing fast). Competes with GPTZero and Originality.ai but differentiates on explainability and forensic depth.
MoatProprietary dataset of confirmed human vs. AI text samples with stylistic annotations, continuously improving as new models emerge.
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