Problem: Non-native English speakers writing professionally can produce grammatically correct sentences that still sound off to native ears. Grammar checkers like Grammarly catch errors, but they do not tell you whether a phrasing is actually how native speakers say it. A sentence can be 100% correct and still feel unnatural, and existing tools give no signal about that gap.
Named product: NativeGauge, a Sentence Popularity Checker. You paste any sentence and instantly see a native-sounding score based on corpus frequency of the phrases and collocations it contains.
Solution: Rather than rewriting or flagging errors, NativeGauge scores how commonly the exact phrasings appear in a large corpus of native English text. High-frequency collocations score well; rare or awkward combinations score low, with the specific low-frequency spans highlighted so writers can see which chunk sounds unnatural and try alternatives.
MVP: A single web page with a paste box that returns a percentage native-sounding score, highlights the lowest-frequency phrase spans, and shows frequency counts per highlighted chunk. This can run against an existing public n-gram frequency dataset, keeping the initial build lean.
Revenue: Freemium SaaS. Free tier allows a limited number of sentence checks per day; a paid tier unlocks unlimited checks, full-paragraph scoring, and alternative phrasing suggestions ranked by corpus frequency. Given the B2C individual buyer, pricing in the low monthly subscription range fits the audience of professionals who write emails, reports, and applications.
GTM: Target non-native professionals through the same channels where they already learn English. The YouTube signals around practical English speaking content (hotel check-out conversations, confidence in speaking) show an audience actively seeking to sound natural, not just correct. Content marketing showing before and after sentence scores is a natural fit.
Growth loops: Shareable score cards for sentences, embeddable badges, and a browser extension that scores sentences inline in email and document editors. Each corrected sentence produces a visible native-sounding score users may share, driving curiosity clicks.